As AI software improves, organizations still need structured data, documented SOPs, labeled processes, and explicit context because models/software cannot infer all internal business knowledge.

p. That being said, this software is not going to be plug and play. The gap this software is going to build is going to allow you to provide that context to the AI. And while the software will probably make it easier to provide that context, you still need that information. This is why I think the best thing you can be doing right now is collecting a lot of data and writing really good SOPs...

Add as AI-readiness candidate: build client context inventories, SOP libraries, labels, and process documentation before relying on AI/agent tooling.


Published Claude artifacts can become visible in Google search results and may be cited by Google AI Overviews and Perplexity, while ChatGPT may not cite Claude artifacts.

ChatGPT will not cite Claude in its results, but Google will. People are using Claude artifacts to rank on Google. This is an artifact as an article. When you click publish, Claude tells you publishing this artifact will make it potentially visible in search engine results. This is a Claude artifact about the WordPress plugin Schemawriter.ai. Google's AI overview cites it No. 1...

Mark as experiment/review: test citation behavior across Google AI Overviews, Perplexity, and ChatGPT before considering any legitimate owned-media use.


Because AI optimization lacks settled experts and best practices, the creator recommends experiments and comparison with other practitioners.

I'm currently in Ottawa meeting with some of the smartest people I know in SEO and AI optimization. I got invited to come up here because I'm part of a community people, people who are doing SEO for themselves or for other companies and who are especially interested in AI. I've always been a part of a few communities like this, but I feel like it's become especially important today...

Maintain experiment logs and peer observations separately from approved methodology until repeated evidence supports a practice.


A bottom-of-funnel formula of `[product/service] for [plural buyer/use-case modifier]` targets low-volume but high-intent procurement searches that competitors may ignore.

Use this SEO formula to get big companies to purchase your product or service. Start with a bottom of funnel keyword like expense tracking software, then the word for, then a plural modifier. Schools, districts, hospitals, government teams is a big one. Enterprise companies. There's so many of these plural modifiers when they come together. Asynchronous video messaging for teams, standing desks for offices...

Add as keyword research hypothesis: map product/service pages to plural organizational modifiers such as schools, hospitals, districts, government teams, offices, and enterprise teams.

BOFU SEO / enterprise procurement keywords


A misconfigured `robots.txt`, especially a rule that tells Google to ignore the whole site, can prevent a website from appearing in Google.

If your website's not showing up on Google, this one tiny file could be causing the issue, and you probably don't even know that it exists. Type in yourdomain/robots.txt. This file tells Google what to crawl on your site. If you see this line, you're telling Google to ignore your entire site. What you actually want is it to look more like this. Go and check yours now.

Add to technical audit checklist candidate: check `/robots.txt` for accidental sitewide disallow rules.


The video describes publishing Claude artifacts built from brand copy/reviews as a way to rank quickly in Google.

If your SEO person isn't talking about this, you need to fire them. Using Claude artifacts to rank on Google. Paste all the copy for your landing page in. Include reviews, testimonials, anything you would want an AI to know. Hey, here's my homepage. This is a test brand, by the way...

risk/avoid: treat third-party artifact publishing as a SERP-manipulation pattern to monitor, not a recommended methodology.

risk/avoid / Claude artifact manipulation


The creator says prompt engineering and context engineering remain skills, with higher model capability increasing the ceiling for good prompts.

I remember when the term prompt engineering first came out. It was kind of a joke, right? The idea that prompting could be a skill? It was a joke for two reasons. One was the idea that one person could be significantly better than someone else at something like prompting seemed kind of silly. And 2...

Document reusable prompt and context patterns, then evaluate output quality by task type instead of assuming better models remove prompt work.


Turning article content into an embedded comprehension quiz may increase time on site and guide users to related articles/products after completion.

Nobody knows this about SEO. Copy everything on one of your articles. Paste it into ChatGPT. Just paste the entire page, even the footer and the navigation. Say, make me a 5 question comprehension quiz for this. Take all of these questions, give them to Claude. Claude is better at coding. Say turn these questions into a quiz I can embed into my website. Claude will give you the code for this...

Add as experiment candidate: test article quizzes on selected pages and measure engagement, scroll depth, internal clicks, and conversion impact.


Prompt-built tools like Google Opal may reduce setup time for simple web-page or YouTube summarization tasks, but not complex automations.

Automations are quickly becoming much easier to set up. I made a video a few weeks ago about how I think that most automations are a waste of time. In that video I was talking about n8n and make.com and while there are some great uses for those tools, I've generally see people waste more time setting up automations than they actually save. However, a few weeks ago, Google released Opal...

Compare Opal-style prompt automation with Make or n8n for simple research workflows, measuring setup time, reliability, and control limits.


AI-written content may be identifiable by generic opener words, excessive list formatting, colon-heavy titles, lack of opinion, and overly neutral tone.

Here are five ways I can tell that you used AI to write your content. If any of your sentences start with words like dive, navigating, discover, it's written by AI. If your content has more than two lists, this is a red flag that you used AI to write it. If you use an Oxford comma to list things in a sentence, you're probably using AI...

Add as editorial QA candidate: review AI-assisted drafts for generic wording, list overuse, weak opinions, and templated title patterns before publication.


The creator describes an AI-generated content site growing sharply while adding disclosure, human credibility, social activity, and citations.

Just when everybody thought it couldn't get any crazier, this entirely AI generated site, which two months ago was at 275,000 visits a month from SEO. Two months later, entirely AI generated 9.5 million clicks a month. It went down a little bit, but for a brief split it's second 9.5 million clicks a month from organic Google. Everyone thinks they're gonna get caught, but they haven't been caught yet...

Treat as a case-study lead; verify the traffic and separate legitimate quality signals from risky AI-scale tactics.


Qwoted can be used to find journalist quote requests, submit limited free pitches, and set alerts for relevant expert-quote backlink opportunities.

If you've heard people talking about building backlinks with digital PR, this is one of the tools that they're using. Qwoted has a huge database of journalists and they're all looking for expert quotes to feature in publications like Forbes, The New York Times, The Independent. You can submit two pitches each month on a free plan and set up alerts for relevant opportunities so you don't miss any. All free.

Add as link-building source candidate: evaluate Qwoted for expert quote/digital PR workflow and track pitch-to-mention conversion.


The video claims ChatGPT Search has 70–80% result overlap with Google and may use Google-indexed content as a workaround for JavaScript/hidden content discovery.

ChatGPT secretly switch over to Google's index. This is for people who think SEO is dead. Google had a 70 to 80% overlap with the results in ChatGPT. When ChatGPT search is used, it produces a snippet. The person doing this study consistently found that the snippets were much more similar to those in Google's index. 70 to 80% overlap. ChatGPT is using Google's index as a workaround to get Javascript content...

Mark as experiment/review: independently test overlap across query classes and verify whether Google indexing affects ChatGPT retrieval before deriving recommendations.


The creator predicts agencies making only small AI/SEO tweaks may be overtaken by teams that rebuild marketing systems around AI.

The way people find businesses online is changing very quickly. Pair that with the fact that digital marketing can now be done much more efficiently with the help of AI and it seems obvious, at least to me, that the way we do digital marketing is going to need a change very quickly. However, from what I can see online, most digital marketing agencies are just making small tweaks here and there...

Treat this as a strategic hypothesis: assess whether agency workflows center AI-assisted production, measurement, and AI recommendation visibility.


A reusable AI-generated quiz widget can be embedded into articles via HTML widgets to encourage longer on-page engagement.

This is a quick way to make your articles more engaging. Copy everything in your article, say to ChatGPT. Write a comprehension quiz for this article. To do so and so, paste the article. ChatGPT gives you some questions. Take these questions, give them to Claude. Claude is much better at coding a code an interactive quiz for these questions. Give your colors...

Merge with related quiz experiment candidate; test carefully rather than assuming dwell time improves rankings.


Ecommerce sites can expand ranking coverage and topical authority by creating dedicated category, subcategory, and deeper collection pages for product types and modifiers.

This is the most powerful SEO strategy that any e commerce business can follow to truly scale. If you haven't done this already, make a collection or category page for every type of product that you offer. And what I mean by this is a dedicated page that only list products that suit that category. So let's say you sell baking equipment, you'd set one up for cupcakes, cookies, cakes, all that kind of stuff...

Add as ecommerce IA candidate: map product taxonomy into indexable category/subcategory pages where search demand and inventory support it.


Hyper-personalized pre-call videos are presented as a way to make prospects feel understood and more confident before sales conversations.

y the way, if you want to read this whole thing, it's on my website, edwardstrom.com. This is the name of the article. For the remaining half that doesn't close, they're given a 24 hour discount and one to three more videos of people just like them getting the results that they want. This closes many more. This is what the form looks like, the initial form. This is the landing page with Jay Hale at the top...

Test problem-specific pre-call videos for lead segments; measure show rate, close rate, call duration, and post-call follow-up conversion.


Refreshing aged content at scale and notifying Google via Search Console after updates is claimed to add new keywords and improve existing rankings.

The SEO subreddit is filled with some of the best gems in digital marketing, adding forums slash questions so users can generate content. Index cleanup and content pruning. For me, traffic goes burr. This basically means removing low quality pages from your site. That helps with SEO a lot. Targeted pages for long tail queries. I do this all the time. Works crazy well...

Add as content maintenance candidate: build aged-content refresh workflow with Search Console recrawl request only after meaningful updates.


The video cites Google Business Profile title keyword stuffing as a tactic that improved map-pack rankings, but this may violate platform guidelines and create suspension/reputation risk.

risk/avoid: do not recommend keyword stuffing; keep as a warning/competitive-risk item and prefer compliant GBP optimization.


Forum/question sections, content pruning, targeted long-tail pages, and aged-content refreshes are presented as SEO opportunities.

Evaluate each tactic separately with quality controls: UGC moderation, pruning criteria, long-tail page usefulness, and refresh evidence.


Adding short TLDR summaries at the top of articles and product pages is claimed to have boosted conversions by 33% by giving users the key points immediately.

This is just a reminder that the best way to get results is oftentimes the most straightforward. How? Adding TLDR boosted my conversions by 33%. This person added too long didn't read blurbs at the top of this person's pages and posts boosted conversions by 33%. For articles, added a short 2 to 3 sentence summary at the top, giving the main points right away...

Test 2–3 sentence summaries above articles and product pages; measure conversion, scroll depth, and engagement instead of assuming longer dwell time is better.


The source argues scalable AI marketing content depends less on raw model intelligence and more on tacit brand and task context.

els can already produce high quality marketing content at scale. It just turns out that this is really hard to do well. And I should know for the past year or so, this has been the core problem I've been focused on. I realised early on that if I provided a lot of context about the brand I was producing content for and the specific task I was having to do, I got much better results...

Treat context capture, brand knowledge, and task-specific examples as prerequisites before scaling AI-assisted content production.


As AI commoditizes hands-on marketing production, the creator says strategy and focus become more important.

Ninety percent of digital marketing can already be automated and I mean that 90% of the hands on work that we did as digital marketers three years ago can now be handled by AI and automation. But of course, that's not what's happening right now and that's because it's still really hard to do and that other 10% is really important...

Keep human review over positioning, priorities, and channel focus even when AI handles more production tasks.


Publishing content outside the business niche can create irrelevant traffic and waste resources; niche depth is framed as safer than broad unrelated topical authority.

This is Hubspot's SEO. In February 2023, Hubspot was getting 24 million clicks a month from Google. Now Hubspot is getting 4.2 million clicks a month from Google. You might think that this is impressive. A lot of these clicks were for things unrelated to Hubspot's business search terms that didn't make them money. This is called topical authority. Topical authority. Really simple...

Audit content portfolios for non-commercial/non-niche topics and prioritize pages closely tied to products, services, and buyer intent.


Directory listings and business blurbs should use language tied to the business niche; general directories are less valuable unless the description reinforces topical relevance.

When building citations/directories, use niche-specific descriptors and prioritize relevant industry directories over generic placements.


A cited Yext survey says 45% use AI tools for product or service search, while local search adoption and trust are lower.

If you're a business owner, you need to see this study on how people are using AI search for products and services. Yext asked over 2,000 people how they're using tools like ChatGPT to search, and it's no surprise that 75% are using these tools more now than a year ago. But the really interesting data is what they're using these AI tools to search for...

Prioritize AI visibility for product and service discovery while maintaining Google and local SEO for local businesses.


High-value backlinks are described as links on pages that get traffic, from sites that rank, and within the target niche.

$508 is the average acceptable price for acquiring one high quality backlink. Honestly, I'm surprised it's not more. A backlink is just when one website links to another site. If you've ever gotten a high quality backlink for a search term that has a ton of volume, that's bottom of funnel, that's really competitive, and the link you got is really high and you've in the difference that it makes...

Evaluate links by page traffic, relevance, ranking potential, and niche fit rather than domain authority alone.


The video discusses an “acceptable price” for high-quality backlinks, but paid backlink acquisition is manipulative/risky and quality is uncertain.

risk/avoid: do not recommend paid link buying; prefer legitimate digital PR, expert quotes, and earned editorial links.


MozBar is presented as a free Chrome extension for checking page/domain authority, loading speed, meta titles/descriptions, headings, and SERP overlay metrics.

Mozbar is a free Google Chrome extension that shows you any pages SEO metrics. Use it to check page and domain authority, loading speeds, meta titles, descriptions, and page headings. It also adds those same metrics on top of your Google search results. I love using this for competitor analysis.

Use MozBar or equivalent tooling as a lightweight competitor/SERP inspection step, but validate metrics with primary SEO tools where needed.


AI workspaces can be set up with instructions plus company, product, service, and ideal customer knowledge so outputs have brand context.

et started. So here are the basics. You need to set up some kind of project. They're called custom GPTs in ChatGPT, they're called gems in Gemini, or in my favourite, Claude, they're just called projects. Projects have two parts to them: the instructions and the knowledge. The knowledge, you're going to place everything that is important for this project to be able to reference...

Create structured brand, product, service, ICP, and task-instruction documents before using AI workspaces for SEO or content production.


Recurring content prompts should define role, goal, input, process, guidelines, examples, output format, and repeated priority instructions.

ind the role. This is gonna be something like you are an expert content writer for this brand. Next, to find the goal. This is gonna be something like your goal is to produce an optimized blog post for a given search term. Then you're gonna define the input. This might be the target keyword or the topic, along with any information you want it to reference while it's writing this piece of content...

Create reusable prompt templates for blog, page, and social workflows, including positive and negative examples plus explicit output formats.


AI content workflows should improve through iteration, using bad outputs as negative examples and updating important instructions.

Add a feedback loop that logs bad outputs, revises prompts and instructions, and refreshes knowledge files when company information changes.


A cited site allegedly grew from under 300k to over 6M Google visits/month using AI-generated content with strong templates, dynamic modules, AI summaries/podcasts, social distribution, and some human touch.

We are witnessing the greatest win in SEO history. I just made a video about the site. It was at 5.5 million visits a month from Google. Two days later, it's at 6 million. A month and a half ago, it was at 300,000, or less than 300,000. They went from less than 300,000 visits a month from Google if SEO to over 6 million. This is. This is stupid. Entirely AI generated content. All AI generated...

Treat as experiment evidence, not methodology: analyze whether success came from templates, UX, brand/social distribution, human review, or risky scaled AI content before copying.


The cited AI-content growth case is attributed not only to AI articles but also brand investment, UX, good products, dynamic pages, direct answers, and active social channels.

This site went from 260,000 monthly visits from Google to 5.6 million in a month and a half using AI generated content. Here's one of its writers, Philip Carter, your AI capital markets Copilot here. All the articles are AI generated. They hired this guy, a previous news anchor at Fox, he said, adding a human element to enhance credibility and improve the company's LLM driven content...

When reviewing SEO wins, account for brand, UX, product, social, and content system factors instead of attributing results solely to AI-generated content.


Voice search may return only one to three results, so local businesses should make hours, long-tail content, schema, and mobile speed clear.

I don't know why more businesses aren't optimising for voice search. Believe it or not, voice search does not match normal search results and it only gives between 1 to 3 results, which is a really unique opportunity to get in front of your customers. Here's how you do it. Make sure your opening hours are clearly listed on your Google My Business profile and your website...

Audit Google Business Profile hours, website hours, conversational content, LocalBusiness schema, and mobile speed for local search readiness.


The creator predicts future agents may handle computer tasks that a new hire could complete from a well-written SOP.

rowsers or computer use. The current versions of this are like perplexities comet browser, ChatGPT agent, or Claude computer use. Right now they're mostly just fun toys. There aren't many practical applications for them. Currently, you might say these tools are in their GPT2 era, and I think by the end of 2025, they'll probably reach GPT3 status, but they will still be effectively useless until they have their...

Document repeatable computer-based marketing and SEO processes as human-readable SOPs that can later be adapted for AI agents.


The video describes manipulating Google with indexable shared Grok chats, custom instructions, keyword prompts, sharing, and purchased backlinks.

If you search site colon grock.com forward slash share, you can see tons of shared chats from Grock AI. Every time a chat on Grock is shared, it becomes indexable by Google. People are now using this to rank their businesses on Google. They put in custom instructions. Their prompt to grok is a keyword like what's the best grocery store. Grok recommends them...

risk/avoid: classify indexable AI-chat manipulation and backlink boosting as spam/manipulation; monitor as a SERP abuse pattern, not a recommended tactic.


GEO differs from SEO mainly because AI search behavior differs: LLMs may run more specific searches, run multiple searches, and inspect many more pages than humans.

Is ranking in large language models like ChatGPT the same as ranking in traditional search engines? In other words, is GEO just SEO in a fancy costume? I have multiple videos talking about why I think GEO is in fact different than SEO...

Build AI visibility strategy around specific long-tail prompts and broader source coverage, not only top-three rankings for broad Google keywords.


Because LLMs may inspect deeper and more specific sources, hyper-specific content and third-party mentions without backlinks may become more valuable for AI visibility.

ddenly, it's worth making hyper specific content. Even if you can't rank on page one of Google, it makes sense to get your company mentioned on third party websites that might not rank on page one of Google and might not link back to you. AI is exploring dark corners of the internet that no one cared about with traditional search engines before...

Create/earn highly specific owned and third-party content around buyer scenarios, service areas, comparisons, and niche questions; track citation impact.

Hyper-specific content / third-party mentions


Aggressive AI content strategies are claimed to have caused some sites to lose search visibility or receive Google penalties, even while some AI-content sites still grow.

Not surprising to see people on LinkedIn sharing their stories of losing all search visibility, sometimes overnight, after an aggressive AI content strategy. Google has been destroying AI content lately. There will always be sites that slip through the cracks, like this AI content site that went from 300,000 monthly searches to 4.3 million monthly searches in under two months...

risk/avoid: do not scale AI content without quality control, originality, relevance, and penalty-risk review; treat outlier growth cases cautiously.


The creator argues that durable LLM recommendations come from becoming a visible authority because AI relies on online information about you.

I wanna talk about what I think is going to be the best long term strategy for getting recommended by large language models like ChatGPT. Right now there are about a dozen or so ways to trick ChatGPT into recommending you, but I don't think those are gonna last. What is working now, and what I think will continue working for years to come, is becoming the authority in your space...

Build category authority with expert content, public opinions, and third-party mentions instead of relying on short-term recommendation tricks.


The source frames AI-visibility research as guessing buyer prompts, running them through LLMs, and inspecting referenced websites.

People like me wanna know what you're typing into ChatGPT. In fact, you wanna know it so badly that there's now a multi million dollar industry around collecting this prompt data. So I wanna talk about why this data is so valuable, why it's so hard to get, and what it can mean for the future. Every month, more and more people are using large language models to make big decisions...

Build prompt-simulation workflows that record prompt assumptions, cited pages, and source opportunities, while labeling prompt-volume uncertainty clearly.


The source warns that some Chrome extensions may capture and sell prompt data without user knowledge, which the creator calls unethical.

search terms people type into search engines. And this is because Google shares that data. ChatGPT does not share that data. Now I think in the future, more and more of these AI searches are gonna be done in Google using Google's AI mode. And while Google does share that data, they currently only share searches that are performed many times. This is largely for privacy reasons...

Avoid prompt-data vendors or extensions that lack informed consent, clear data provenance, and transparent methodology.


Adobe research is cited as finding no signs that major AI crawlers checked `llms.txt` across 1,000+ websites, challenging GEO hype around the file.

A few months ago, the digital marketing world was buzzing and in some cases panicking over something called Llms. TXT. This is a plain text file that was supposed to tell large language models how to use a website's content. But for anyone in traditional SEO, the idea didn't quite add up. After all, LLMs were already good at pulling from websites. Still, big headlines followed...

Treat `llms.txt` as low-priority/experimental until evidence changes; focus first on crawlable useful content, SEO fundamentals, and cited source visibility.


A keyword tool using Google autocomplete data can surface actual search terms and volumes for on-page SEO tasks.

This tool uses Google auto complete data to show what people are actually searching. Click the table tab, then scroll through to see the most relevant keywords and their search volume. Export the data or just copy the keywords to start your on page SEO tasks.

Use autocomplete-based keyword tools as an idea source, then validate keyword relevance, volume, and intent before applying to page optimization.


LLMs may reference best-of lists, comparison articles, alternatives pages, and FAQs when making recommendations.

Let's talk about the kind of pages you should be building on your website if you want to get recommended by large language models like ChatGPT. So when someone goes to one of these large language models and asks for a recommendation, it's almost always going to search the internet. Now for some prompts in some industries, it's mostly going to look at third party websites...

Create high-quality best-of, comparison, alternatives, and FAQ pages where they fit real products and services.


The creator suggests listing oneself #1 and possibly listing non-competitors to influence recommendations, which can become misleading if not handled honestly.

risk/avoid: do not create deceptive comparison/best-of pages; if publishing such pages, use honest criteria, real competitors, disclosures, and substantiated claims.

Manipulative recommendation pages risk/avoid


The video describes using cheap press releases to make ChatGPT/Perplexity recommend a brand and cite syndicated financial/newswire content.

It is crazy how people are hacking ChatGPT and perplexity. Ask ChatGPT what's the best Aisuo newsletter for CMOS? Recommends SEO Espresso. Same exact thing on perplexity. It cites this financial content. This is a cheap press release. If you search press release distribution on Fiverr, you get all of these super inexpensive options. This cheap press release comes from AB Newswire...

risk/avoid: classify low-quality press-release manipulation as spammy AI visibility abuse; monitor as a tactic but do not recommend it.


The video claims cheap syndicated press releases can cause ChatGPT, Perplexity, and Google AI Overviews to cite the same article and recommend a newsletter.

Six dollar press releases are hacking ChatGPT, perplexity, and Google Best AI SEO Newsletter for CMOS. ChatGPT says SEO, Espresso perplexity says the same. Google's AI overviews say the same. All platforms cite this article. This article is a press release distributed by AB Newswire. AB Newswire charges $500 for 83 press releases. 500 / 83 is $6...

risk/avoid: treat low-cost syndicated press-release abuse as manipulative AI visibility spam; monitor as a SERP/AI citation abuse pattern, not a recommendation.


The creator says their agency is seeing more AI-tool traffic over six months and higher conversion rates from those visitors.

GEO is definitely going to become as big as SEO, if not bigger. Here's why. I am the director of an SEO agency, and over the last 6 months we are seeing more and more website traffic from AI tools. But the most interesting thing is that the conversion rate is higher. The people that are searching for products or services with AI tools are actually way more likely to convert...

Track AI-referral traffic and conversion separately, and validate whether the pattern holds by client, source, and industry.


The creator argues there is not a huge difference between optimizing for Google and optimizing for tools like ChatGPT.

Compare shared SEO fundamentals against GEO-specific work such as prompt testing, source mapping, and third-party citation targeting.


Uploading niche-relevant photos to Unsplash or Pexels, then requesting credit links from sites using them, is claimed to generate links.

This SEO tactic gets this person 100 to 200 backlinks per photo. The person uploads relevant photos to Unsplash and Pexels. These are stock photo sites. People use these photos on their websites because the photos are related to that person's niche. The websites that they appear on are also related to that person's niche. Then the person will use reverse image search to see which websites his photos appear on...

Test only as ethical attribution outreach: publish useful original images, identify usage, request proper credit, and track link relevance.


The creator describes using Moz SERP analysis to spot expensive keywords with weak optimization and lower-authority ranking pages.

This is an easy way to see if a search term on Google is under targeted. Go to Moz.com, go to keyword research, put in your search term. This is a keyword. Scroll down to SERP analysis. SERP just stands for Search Engine results page, as in what a page is on Google. And this shows the exact search engine results page for when you search the search term...

Use SERP analysis to flag opportunities, then validate intent, conversion value, and real result quality.


The passage recommends exact-match keyword placement in core on-page elements while avoiding repeated use that can look like stuffing.

Use exact-match keywords sparingly in title, meta description, URL, H1, and opening sentence, then write naturally for intent.


The source says pages with large keyword-optimized text blocks ranked worse after the June update, and panic cleanup often did not restore rankings.

Google search results are changing faster than ever, and I'm not even talking about AI this time. Google just put out a big core algorithm update at the end of June, but the rankings have actually been changing even more since that update went out...

Treat aggressive keyword blocks as declining in effectiveness; avoid panic deletions and test UX-focused rewrites with ranking and conversion monitoring.


The creator says the durable response to weaker keyword-stuffing tactics is a stronger brand and high-quality content around customer problems.

e more effective than it is now. And this isn't a new trend. As Google's algorithms gotten smarter over the last few years, pages like this just rank a little bit worse every update. I've actually had two businesses reach out to me just this week with the same problem, and once I explain that the text on the page with all their keywords isn't helping them rank as much as they used to, they always ask, so should...

Prioritize brand-building, expert content systems, and distribution alongside SEO fundamentals, then monitor branded demand and AI-source mentions.


The passage says Grok shared chats are indexable by default and that some marketers use custom instructions and backlinks to manipulate rankings.

Raffle Grock is worse than OpenAI. All shared chats are indexable by default. OpenAI asks you when you share if you want to make it indexable. Rock doesn't give you an option. It's just indexable by default. If you put in site colon grock.com and then any word SEO, we can see shared grock conversations that have SEO in them. Some people are using this to game Google too...

Treat indexable AI-chat manipulation as spam; monitor shared-chat pages as an abuse surface and avoid ranking tricks.


The creator argues easier, stronger LLMs may shift more decision-making from search engines and referrals toward AI recommendations.

I just released a GPT5. I wanna talk about what makes this model so significant and then what business owners need to know. The main change with GPT5 is you no longer have to select between a bunch of different models. Before this, most people defaulted to the 4, 0 model. There were a half a dozen other models. Most power users learned that the 4O model is not the best model for most tasks...

Track recommendation visibility for priority buyer prompts as an emerging signal, while validating whether those recommendations drive qualified demand.


The video presents over-200-character title tags as an SEO experiment, citing one reported move from position 6 to 4.

People are saying making these things, these are page titles over 200 characters, is actually boosting their SEO. The updated title tag was 232 characters long, and the result was a move from position 6 to position 4 for the targeted keyword. Imagine we're ranking No. 6 on Google. You make a new title like this. It's 232 characters. It's not even gonna fit here...

risk/avoid: do not standardize overlong titles; test only on controlled pages and monitor rewrites, CTR, rankings, and brand quality.


The video claims repeatedly using Google Maps driving directions to a business, including with many phones, can signal demand and improve Maps/search rankings.

This still might be 20 Twenty Five's top local marketing hack. Whenever you drive to your Google Maps location, always enter the address and use the driving directions. I know someone who provides a service where you pay them, they will drive to your location along with their 100+ phones all doing driving directions. There is a reason they are doing this and providing the service. It works...

risk/avoid: classify fake driving-direction demand generation as local SEO manipulation; do not recommend it and instead focus on legitimate location relevance, reviews, GBP quality, and real visits.


The passage highlights contextual internal links placed naturally in paragraph copy as an underrated SEO practice.

If you haven't seen it, the SEO subreddit is filled with some of the best gems in digital marketing. This thread: what's your most underrated SEO tip that actually brought real results? This guy gets 100 to 200 backlinks per photo. Uploading photos to Unsplash and Pexels. Uses reverse image search to find photos that were uploaded that this person took. Sends a message to them saying, hey, link to my website...

Audit important pages for contextual links to related service, article, and conversion pages using descriptive anchor text.


The passage cites adding Search Console queries and answers to pages, but warns raw query stuffing can be spammy without context.

Use Search Console queries to find missing user questions, then rewrite answers naturally with context instead of appending raw lists.


The passage says updating old content and changing the year in the SEO title can work because Google favors freshness.

Use freshness updates only when content is actually reviewed and improved; avoid cosmetic year changes without maintenance.


The creator frames good SEO content as answering real questions, being readable, adding context, and citing sources.

ar you just change it to 2026. Everyone loves fresh content. Oh, here's a good tip. Lots of people don't do this. Make sure you have something to say which people actually want to read. People treat SEO as a series of tricks. If you aren't tricking Google, write good content that answers people's questions. Format it in a way that is easy to read, provide context, and cite your sources...

Use answer quality, readability, context, and source citation as a content review checklist.


A trial SEO tool can support keyword research, search volume checks, difficulty checks, competitor keywords, top pages, and backlink counts.

Free SEO tools that actually help you rank. Part 12. This one isn't free forever, but their 14 day free trial gives you an insane amount of data for your website and your competitors. Use it for keyword research with real search volumes and difficulty scores and deep dives into your competitor's sites so you can see what keywords they're ranking for, what their highest performing pages are, and how many...

Use time-limited tool trials for focused competitor research sprints, then export findings and validate them with durable tooling.


The creator calls brand mention building the fastest reliable way to improve ChatGPT and Google AI Mode visibility.

There are dozens of things you can do to rank higher in ChatGPT and Google's AI mode. But there's only one way to do it reliably and quickly. At my agency, we've been testing every method we can find to rank higher, but this one is so effective that I really think it's the only one you should care about until you've maxed it out. We're calling it brand mention building...

Run buyer prompts repeatedly, record cited sources, prioritize common third-party sites, and improve brand presence there.


For cited directories such as Clutch, moving from a lower directory position to top positions through more reviews is claimed to potentially double AI-model visibility.

ourse, these models are probabilistic, and their response is gonna be different every time. So you have to do this many times to get an average response. When you do this, you'll find dozens or even hundreds of different third party websites that are commonly referenced when people are searching for your product or service. These specific third party sites will be very different from one industry to another...

For industries where directories are cited by AI answers, improve legitimate review volume/profile completeness and track impact on AI recommendations.


The creator suggests identifying Reddit threads cited by AI systems and leaving helpful comments that naturally mention the brand and target term, while warning against promotion that gets banned.

Use only transparent, genuinely helpful participation; risk/avoid promotional astroturfing or fake community engagement.

Reddit / third-party mentions risk/avoid


The passage says Uniqlo worked on basic SEO such as page titles, meta descriptions, and alt text, while many fashion brands miss those basics.

Uniqlo is on the craziest SEO winning streak. It's getting 46.23 million clicks a month just from Google. This is for free. This is organic traffic. It recently had a crazy spike up in the amount of keywords search terms that it is showing for on Google. It is showing on Google for 6 million search terms. This is its SEO traffic. Throughout time it's been a slow and steady growth. But it has been so steady...

For ecommerce audits, prioritize template-level title/meta coverage, image alt text, and crawlable category/product pages.


The video recommends analyzing the top 3 Google results for target keywords, including keyword usage, headings, images, video, and FAQs, then matching or exceeding useful content elements.

If you wanna show up higher than your competitors on Google, you absolutely have to do this. I'm the founder of a digital marketing agency, and one of the main things we specialise in is SEO. A huge chunk of this work is around content optimisation. When you're optimising your content for your target keywords, you cannot skip competitor analysis, and it's probably one of the easier parts of the process...

Build SERP comparison briefs from top competitors, but improve substance and user value rather than mechanically copying keyword counts or modules.


The video recommends using Search Console queries to choose terms to improve, then placing the term at the beginning of the title, meta description, URL slug, H1, and first sentence while avoiding extra repetition.

Nobody knows this about Google. This is something in compact keywords. Go to Google Search Console. This is Google's own tool for accessing their search index. Connect your site to it. It's very easy. Click here. You can see everything your site shows on Google. For how many clicks you get. Click through rate. Take one of these terms you want to show better on Google for...

Use GSC query data to prioritize page refinements; apply concise on-page targeting and monitor CTR/ranking changes.


The creator argues AI search can inspect up to 300 pages and synthesize brand information from pages beyond the brand's own site.

So this is mostly true, but there are a couple ways where ranking in large language models is very different from ranking in traditional search results. So I want to talk about those distinctions. First of all, web linker here. I have a lot of respect for him. He runs the SEO subreddit, really knows what he's talking about, and I think on like 90% of issues we agree...

Build visibility across many relevant pages, social surfaces, and long-tail scenarios, not only top-three rankings for a few head terms.


LLM visibility may depend on brand mentions across many pages, not only the brand's own site ranking, because models synthesize many sources.

ls will look up to 300 pages. And they're gonna synthesize the information across all of those pages. So, yes, you do need to be found on those 100 pages. But one, it doesn't need to be your website. They're just looking for information about your brand. So as long as you're mentioned on those pages, that's enough...

Audit pages and sources AI systems consult for target prompts, then earn accurate brand mentions on relevant pages where competitors appear.


The source says social media matters more for LLM visibility because language models crawl social sites and use that presence as evidence.

ng on the broad, short competitive terms, but think about all the long tail terms that are very specific to a given searcher or that might show up in a query fan act. And now a lot more traffic is going to be going to pages like that. Right? So that changes your content strategy a little bit. But also it should change your outreach strategy...

Include relevant social and forum surfaces in AI-visibility audits, then measure whether brand presence appears in cited sources for priority prompts.


The source says llms.txt adoption remains unconfirmed enough that it should be treated as an easy experiment, not proven methodology.

lts and confuse users. And then in the middle, and perhaps the most important, is ChatGPT. To my knowledge have not made a public statement about it, but there have been some people reporting that they've seen ChatGPT crawling their lms dot txt in their log files. Now, just because they're looking at your lms dot txt doesn't mean they're actually adopting the protocol...

Treat llms.txt as a low-cost experiment, not proven methodology; document added URLs and avoid claiming confirmed ChatGPT adoption.


The passage describes indexed ChatGPT shared conversations and marketers using custom instructions plus backlinks to rank manipulated chat pages.

Google is indexing ChatGPT shared conversations. People are reporting API leaks in shared conversations. Others are of course trying to game this with SEO. So if you go to one of your chats, in the left sidebar you click share, then you click create link, there is going to be an option make this chat discoverable. Now your ChatGPT conversation can be indexed by Google. By Bing...

Avoid indexed shared-chat SEO tactics and warn clients not to expose sensitive or API data in shared conversations.


A reported June 2025 core update winner/loser list shows YouTube, Wikipedia, Instagram, Yelp, Quora, TikTok, and other UGC/social/reference sites gaining visibility while some large ecommerce/media domains lost.

Greatest Visibility losers of the June 2025 Core Update. Absolute Losers. Number one. Wow. Number one is Amazon dot com. Oh my gosh. Then we have Cambridge dot org. Then Tripadvisor, then LinkedIn. Whoa, LinkedIn. Wow. Best Buy dot com. Nordstrom. Target. Com. Target just keep getting keeps getting hit. Facebook. Com. Wow, that is surprising. New York Times. Com...

Treat as trend evidence to review: monitor whether UGC, social, reference, and directory surfaces are gaining organic visibility in target SERPs after core updates.


The video cites Google’s Gary Illyes as saying normal SEO works for AI Overviews and frames AI SEO as fundamentally the same as regular SEO: understand searcher intent and answer it immediately.

Gary Illyes from Google who has said normal SEO works for AI overviews. Normal SEO is the same thing as AI SEO. Turns out the fundamentals we've been doing all along are what actually work. If you're thinking through the keywords. What is this person actually looking to achieve with this search? Then you try to give them that as soon as you can on the page before they start scrolling...

Add as contradiction/review item against GEO-difference claims: preserve SEO fundamentals and direct answer-first content, while separately testing AI-specific source/mention strategies.


The creator says agency clients should understand what work is being done, why, and be able to follow the explanation.

I wanna talk about how to know if your marketing agency is ripping you off. Whenever I talk to a business owner that's paying a marketing agency, I always ask, what is the agency doing for you? And the most common response I get is, I don't know. This is incredibly common, and it's the first sign that your agency is probably ripping you off. Let me give you another one...

Use transparent task tracking, plain-language rationale, and client-visible work logs as quality controls for SEO and GEO retainers.


Discoverable shared ChatGPT links can appear in web searches, so sensitive content such as API keys should be removed before sharing.

Google is indexing ChatGPT shared URLs. This was shared on X. This guy said, "Found one API key already, lol." People are gaming it too. To rank on Google, ChatGPT ranks for 16,213 keywords. Here's how to do this yourself. Click the three dots on one of your chats. Click share. Click create link. Click make this chat discoverable. Says right here, "Allows it to be shown in web searches." That's it...

Treat shared AI-chat links as public when discoverability is enabled; audit shared chats for secrets before publishing.


The passage says some people are trying to use discoverable ChatGPT shared URLs as an SEO ranking surface.

Classify shared-chat SEO manipulation as a risk/avoid tactic; only publish non-sensitive, genuinely useful shared chats if used at all.


A browser/Chrome extension can be used as a lightweight competitor page audit tool to inspect meta title, meta description, headings, image alt text, and links for free.

This Chrome extension is one of my favourite competitor analysis tools. It shows you everything about a page's SEO like the meta title, description, headings, image alt text and even links, all free.

Test free browser SEO extensions as quick competitor-audit aids; verify findings with crawl/audit tools before relying on them.


Before committing to a CMS, test whether page titles, meta descriptions, URL slugs, and per-page settings can be changed easily.

If you're trying to figure out what CMS to go with, these are some tests you can do before you go hard building your site. Can you easily change your page title? Can you easily change your meta description? Can you easily change your URL slugs? Can you do it for individual pages too? It should be very easy to do that. Then you try to crawl your site with Screaming Frog...

Add CMS SEO-readiness checks to website build/vendor selection criteria.


Crawling a new site/CMS setup with Screaming Frog can reveal whether pages are crawlable and expose title/meta/URL issues early.

Run a crawl test before scaling a CMS build; reject or fix setups where key pages are not crawlable.


Google advises against redirecting all 404 pages to the homepage; moved content should redirect to the specific new URL, while genuinely removed content should keep a 404 status.

You have a page. It is 404ing. It doesn't exist. What should you do with those pages? Google advises against redirecting all 404 pages to the homepage, recommending proper redirects or maintaining 404 status codes. Content has moved to a new location. Use a redirect to that specific new URL. Use a 301 redirect if that is permanent. If it's gone, don't redirect it to the homepage...

Audit 404s: map moved pages to specific 301 redirects and keep true missing pages as 404/410 instead of homepage redirects.


The source reports Sundar Pichai saying Google AI Mode could replace traditional search within two to three years.

Traditional search engines are going to be dead within a few years. I wanna talk about how we know this and then who the winners and losers are gonna be in this shift. And then finally, I'll talk about how you can make sure you're one of the winners. Kevin Indig recently reported that Sundar Pichai, the CEO of Google, says that he sees Google's AI mode replacing traditional search within two to three years...

Track AI Mode and Web Guide as strategic visibility risks, but treat exact timelines as predictive until verified against primary sources.


The source cites an iPoll Rank study claiming only 4.5% of Google AI Mode searches result in a single click.

ryone kind of accepted that as common wisdom back then. You couldn't trust anything on the internet. You had to drive to the library, find a book, bring it home, and read through it to find information. Nowadays, if someone says they research something, it's a pretty safe bet that they went to Google, they did a handful of searches, they clicked on some of the links, and they read information from the websites...

Verify the cited study before using the number; model AI answers as a possible traffic-compression risk for informational content.


The source says current large language models still use search engines, so traditional SEO remains an input to AI recommendations.

Maintain baseline SEO while adapting reporting toward AI recommendations, prompt visibility, citation coverage, and off-site mentions.


The source says AI search may run many specific searches, inspect multiple result pages, and consider hundreds of pages before recommending.

oing a single broad search like dentist near me the way a human might, it'll do up to a dozen very specific searches. And then instead of just looking through the top few results like a human might, it'll look through multiple pages of search results. What this means is that the large language models are considering hundreds of pages before returning a recommendation...

Optimize for broad topical presence across specific queries and surfaces, not only position one for a single head term.


Brands that appear in more places across the web and participate in relevant discussions may be more likely to be recommended by LLMs.

Build a trackable entity-presence program across pages, discussions, and third-party sources where AI systems appear to look.


A Google spokesperson allegedly said normal SEO is all that is needed for AI SEO.

Google just confirmed that SEO for AI is the same thing as normal SEO. This is Google spokesperson who said this on stage. Normal SEO is all you need for AI SEO. Recently there's been all these generative engine optimization specialists. Basically these are people who claim to do SEO for AI. ChatGPT, AI overviews, Claude, whatever. Google is like, nope, it's the same thing...

Add as contradiction/review item against claims that GEO requires distinct tactics; verify source and scope before accepting.


Products absent from Google Shopping can miss search customers because products may appear both in the Shopping feed and near the top of main Google results.

If you sell products and they're not showing up in Google Shopping, you are missing out on a ton of customers from search because your products aren't showing up in search results like this. You want your products to show up here for two reasons. The first is they show up in the dedicated Google Shopping feed, which a lot of users use when they want to compare products and pricing...

For ecommerce clients, check Google Merchant Center setup and organic shopping traffic in Analytics.


Google Merchant Center can ingest product data from the website platform or, if unsupported, via Google Sheets for easier manual management.

Maintain a clean Merchant Center product source/feed and monitor whether platform updates sync correctly.


Low-cost press release distribution may cause AI overviews to repeat brand claims as if they were broadly established facts.

If you want to influence people on why your brand is great, you don't need to hire an AI SEO specialist. You can use a 5 dollar or 15 dollar press release distribution service on Fiverr or SEO clerks. Write your own press release. AI will synthesize the press release being shown in all these places and basically quote what you write in the press release as if it is fact...

Mark as risk/avoid: do not use low-quality press release spam to manipulate AI summaries; if using PR, keep claims factual, sourced, and non-deceptive.


Adding a 2–3 sentence TL;DR or summary near the top of articles/product pages allegedly increased conversions by 33%.

Adding TLDR boosted my conversions by 33%. For articles, I added a short 2 to 3 sentence summary at the top, giving the main points right away. For product pages, I wrote a quick summary of the product's features and benefits placed right under the title. This increased conversions by 33%. Give people what they want right away, and a lot of people just want to go deeper. Then they'll scroll more on the page...

Test above-the-fold summaries/TL;DR blocks on content and product pages; treat the 33% number as anecdotal until validated.


The New York Post example is used to highlight basic SEO coverage: page title, meta description, H1, and descriptive alt text.

We are taking a look at the New York Post's SEO. The New York Post gets 34 million clicks a month from Google. They're showing for 11 million searches. They have the fundamentals of SEO down well. Each page has the critical SEO info: page title, meta description, H1, descriptive alt text. They're doing a smart thing with their meta descriptions and making them their first sentence verbatim...

Keep title, meta description, H1, and alt-text checks in editorial/page QA, especially for high-authority content sites.


The passage presents first-sentence meta descriptions as a smart pattern and links it to a Reddit conversion-lift anecdote.

Test first-sentence meta descriptions only where the sentence accurately summarizes the page; do not treat the 33% lift as proven.


Linkable web apps/games can support traffic growth by earning links and engagement; NYT games are cited as an example.

Consider useful web apps/tools as linkable assets and pair them with bottom-of-funnel SEO pages.


The creator predicts future marketing agencies may build and maintain brand digital twins connected to business and owner context.

As I've said a couple times before, I think digital marketing agencies as we know them today will be obsolete by 2027. But what will replace them? What were these new agencies or consultants look like? It's really hard to say, but I think I have a pretty good idea of what they could look like just based on what we're starting to see work really well now...

Explore context-engineered brand knowledge bases as internal marketing infrastructure, with permissions and review gates before use.


The source lists blog posts, press releases, press inquiry responses, website copy, and outreach emails as possible digital-twin outputs.

Treat digital-twin content ops as a hypothesis; require human review, brand QA, source checks, and channel-specific editing before publication.


As AI content spreads, trusted human-made content may become more valuable for visibility.

2025 is the best time for any business to be creating content. I really think we're in this sweet spot right now where it's easier than ever to create high quality content at scale, and AI hasn't quite taken over all content creation...

Build visible human authorship and proof of real expertise into content strategy.


The creator attributes HubSpot's traffic decline to broad, unrelated content and says topical authority has become more important.

This is the all time SEO traffic for HubSpot. It hit its peak in January 2023 and then just rapidly declined. The leading theory is that HubSpot wasted a lot of resources targeting keywords that didn't matter to them. As Google's algorithms got better, Google cut the articles that were unrelated to HubSpot. Unfortunately, it hit a lot of their other content...

Prioritize content around real expertise and revenue areas instead of broad unrelated keyword programs.


Google Web Guide is described as a Search Labs experiment between traditional results and AI Mode.

So it looks like we're already seeing phase 2 of Google replacing the traditional search results with AI results. Phase 1, if you missed it, was the release of AI Mode, which is a new tab in Google Search. Instead of showing you traditional results, it gives you an AI response similar to what you'd get from ChatGPT. But just today, Google announced what seems to be the next step in that direction...

Monitor Web Guide because categorized AI-style results may change how pages are discovered.


AI Mode may reduce reliance on one top-10 ranking by searching many specific queries and aggregating many results.

Track presence across specific AI-relevant queries and sources, not only classic rank positions.


Businesses should publish extensive information about the company and what it does for AI search understanding.

Build complete factual brand, service, and FAQ pages that answer specific customer questions.


Brands should track sources AI Mode and ChatGPT consult before recommendations and seek legitimate mentions there.

ally. The short version is that you want to have as much information on your website about your company and what you do. You want to distribute as much content as possible across the internet representing your brand. And you want to track all the websites that AI Mode and ChatGPT are looking at before they provide recommendations and make sure your brand is mentioned in as many as possible.

Identify recurring cited sources, then pursue legitimate listings, mentions, or content on those sources.


Exact keyword-fragment H1s such as “HVAC repair Los Angeles” can look spammy; natural phrasing like “HVAC repair in Los Angeles” is preferable.

Avoid a penalty from Google. The biggest mistakes that people make if the keyword is HVAC repair Los Angeles, the H1 in a spammy page will say HVAC repair Los Angeles. Should actually say HVAC repair in Los Angeles. HVAC repair Los Angeles is a fragment. You don't want to do fragments. It's seen as spammy. Searchers don't like it. Google doesn't like it...

Write location/service headings in natural language rather than keyword fragments.


Pages targeting very similar keywords should be meaningfully different and show how the offering serves each specific query, rather than duplicating generic content.

For similar-location or similar-service pages, require distinct, query-specific copy and proof points to avoid thin/doorway patterns.


Semrush studies allegedly found AI Overviews commonly cite Quora, Reddit, and LinkedIn, while ChatGPT uses Reddit, Wikipedia, and YouTube.

Semrush have just released two massive studies revealing exactly where ChatGPT, Claude, and Google'sAI overviews are getting all their info from. You'd expect it to be super credible sites, right, like government domains and established publishers. Nope. AI overviews most commonly site Quora, Reddit, and LinkedIn. For ChatGPT, it's Reddit, Wikipedia, and YouTube...

Verify the Semrush studies, then map client presence on high-frequency UGC/source platforms where AI systems retrieve information.


To show up in AI search, value may need to be created where AI systems look, not only in metadata or owned blog posts.

Prioritize credible contributions and brand/entity presence on relevant third-party communities and source surfaces.


Keyworddit can scrape Reddit phrases and estimated search volume from a subreddit to reveal audience language.

If you're not sure what your audience are actually searching for, Keyworddit scrapes keyword ideas from Reddit. All you need to do is enter your subreddit, and it pulls real phrases that people are using with their estimated search volume, all free.

Use Reddit-derived keyword tools as one input for audience-language research; validate volume and intent with other tools.


The creator warns that AI/GEO/AEO optimization is too new and fast-changing for vendors to credibly claim secret certainty.

There are no AI optimization experts. AI SEO, GEO, LEO, AIO, whatever you wanna call it. No one's an expert, not yet. This industry is brand new and it's changing rapidly. That's not stopping people from pretending like they know the best way to rank in these large language models...

Be skeptical of proprietary-certainty pitches; prefer teams that show tests, evidence, documentation, and a willingness to update methods.


Current AI optimization ideas can be grouped into SEO, AI-focused SEO, AI hacks, speculation, and unknown future methods.

Use this taxonomy during review to separate validated practices from speculative or risky tactics.


The source describes AI-focused SEO as adding extensive company information and earning brand mentions where LLMs look, even without links.

Test entity-rich site content and legitimate unlinked brand mentions as AI visibility inputs, while separating evidence-backed work from speculation.


The source labels hidden prompt injections, listicle spam, and low-quality press-release spam as risky AI hacks that may lead to penalties.

e adding copious amounts of information about your company to your website, often in FAQ's, and making sure your brand is mentioned in all the places that ChatGPT and other large language models are looking, even if there's no link. The third category I call AI hacks. These are spamy tactics that happen to work right now, but probably won't work long term and could get you penalized...

Keep these tactics out of recommended methodology; track them only as risk/avoid examples for competitor or market monitoring.


Excessive structured data, llms.txt files, and markdown page copies for LLMs are described as speculative ideas with insufficient supporting data.

Keep these in an experiment backlog only; do not present them as proven AI visibility practices.


Web apps/tools can generate engagement, shares, links, domain authority, and monetizable bottom-of-funnel SEO opportunities.

The New York Times has grown since 2021. It has invested more into its web apps, which is good for engagement, it's good for sharing, it's good for links. I would totally recommend making a web app. They're so inexpensive, cheap, and easy to make with AI, with replit, with cursor. Then you can do bottom of funnel SEO for the web apps. You're making money. You're ranking for more keywords. People are sharing you...

Consider simple AI-built tools/calculators/apps as linkable assets tied to commercial-intent landing pages.


AI Overviews are claimed to be triggered 99.2% by informational keywords such as how/what/why/when/where queries.

Of course, nobody is clicking through when AI overviews now take the entire first page for many searches. AI overviews are 99.2% triggered by informational keywords where people are looking to learn. These are keywords that start with how, what, why, when, where. And those are what triggers AI overviews. My SEO method Compact Keywords targets transactional keywords. They are a lot less likely to trigger AI overviews.

Verify the statistic; consider prioritizing transactional/commercial keywords when AI Overview click-loss risk is high.


AI Overviews are claimed to reduce clicks by 34.5%, and the video says 99.2% of AI Overview-triggering keywords are informational, making informational blog SEO more exposed to click loss.

According to hrefs, AI overviews decrease clicks by 34.5%. That means every time one of these things show up. This is an AI overview. Every time one of these things show up, searchers are 34.5% less likely to click into the results. That's a third of clicks cut just right like that from AI overviews. But 99.2 percent of keywords that trigger these AI overviews are informational in intent. So what does that mean?...

Prioritize transactional and bottom-of-funnel pages for offers where the user is ready to buy; treat informational pages as awareness assets and measure AI Overview click loss separately.


Appearing on smaller podcasts first can create proof/authority that helps pitch larger podcasts later.

I use this site to get on 30 podcasts in three months, even if nobody has heard of you. It uses AI to connect hosts who want guests on their shows with guests who want to go on podcasts. So you would go on smaller podcasts using AI Podcast matcher.com. Then you can pitch the bigger podcasts, and they will be more likely to say yes, because when you pitch them, you're like, I went on all of these previous shows...

Consider podcast guesting as reputation/entity-building support; keep separate from direct SEO claims unless links/mentions are measured.

authority building / podcast appearances


Blocking ChatGPT, Google, Claude, or other AI crawlers in `robots.txt` can prevent the site from appearing in their indexes or AI responses.

I just heard a really interesting idea on how you might be able to trick ChatGPT into mentioning your website, and so I just wanted to share it with you. It's actually just a simple update to your robots.txt file. If you don't know, this is a file that lives on every website, and it tells bots like Google Bot or ChatGPT bot which pages of their website they're allowed to crawl...

Audit `robots.txt`, Cloudflare, and CDN bot settings to ensure desired AI/search crawlers are not accidentally blocked.


Robots.txt prompt contracts are framed as experimental and uncertain because LLMs may only see crawler-returned content.

Treat robots.txt contracts as an unproven experiment, not a recommended GEO tactic.


Changing theme/code or republishing content on a new URL is claimed to force pages back through Google’s evaluation and sometimes surface pages that were previously missed.

If you just change your theme and code to something else, you'll get a boost. That's because you force each page through the algorithm and it refreshes pages it missed or hadn't updated. So Google refreshes pages and judges them upon the new topical authority that you have. I had exactly this happen to me. I republished the same exact content on a new URL on my site. It wasn't ranking before. New URL ranking No...

Treat as low-confidence experiment only: use legitimate content refresh, internal linking, sitemap updates, and clean canonical handling instead of URL churn as a ranking tactic.


Keyword stuffing signals manipulation; stronger blog SEO uses natural keyword placement and gives concise answers near the top.

This is how you do blog SEO. Google's algorithms are designed to reward relevance and helpfulness, not just keyword frequency. When you repeat your keywords unnaturally, it signals manipulation. So if your keyword is project management software, it would be way better if your big top heading was how to pick the right project management software for your team. You have the keyword right there...

Put the direct answer near the top, use natural keyword variation, and avoid unnatural repetition in informational content.


General AI agents may soon replace some complex custom automations, so large automation investments should be weighed against likely near-term platform improvements.

So OpenAI just released ChatGPT agent and I wanna talk about what this means for businesses both now and in the future so if you don't know ChatGPT agent is essentially the ChatGPT 0 3 model that can also take actions it can use a browser it can make spreadsheets it can make presentations and it can do this autonomously on very long tasks only been out for a day so there's still a lot we don't know and I'll make...

Before building costly automations, estimate payback within 12 months; otherwise document and improve the process now so it can be automated later with better tools.


The source says documented processes are useful now because future agent or automation work will need predictable workflows.

Document repeatable SEO and marketing processes before automation: inputs, steps, review checkpoints, owners, and handoff criteria.


Using many phones or paid drivers to generate Google Maps driving-direction signals is claimed to improve local visibility, but it is artificial signal manipulation.

If you're a local business, whenever you drive to your location, always enter your Google Business Profile address in Google Maps and use the driving directions. Bill Hartzer said this is a little extreme. I know someone who provides a service where you pay them and they will drive to your location along with their 100+ phones all doing driving directions...

risk/avoid: do not use fake direction/navigation activity; treat as local SEO spam to monitor, and focus on legitimate GBP optimization, reviews, citations, and real customer engagement.


The creator claims a recent Google update rewarded clear, concise writing and became better at identifying keyword-stuffed spam.

Peculiar thing is happening with the most recent Google update. Sites are all experiencing the same explosion in traffic. This small publisher. Alright Google, now you're just being silly. This travel blogger Sunday and Monday took a drastic U turn for the first time in months. Hearing and seeing similar things from many small bloggers. This SEO veteran had the same upward spike. His site was hit by Google...

Review pages for concise answers, visible target terms in key locations, and removal of long fluff introductions or repetitive keyword stuffing.


Fake law firms and automated DMCA takedowns are claimed to remove legitimate pages or even sites from Google search with little verification.

The DMCA abuse inside Google to remove pages from search is starting to get absolutely ridiculous. If a DMCA takedown is successful, Google removes the page, or sometimes an entire site from its search results. There are dozens of these fake law firms, each filing dozens of fake takedowns per day with no oversight at all. Let's say you do it to a flower company on Valentine's Day, the busiest day of the year...

Add DMCA/takedown monitoring and response procedures for important pages, review profiles, and seasonal revenue pages; treat sudden deindexing as possible abuse, not only technical SEO failure.


The source reports a client used ChatGPT for due diligence, and ChatGPT referenced the creator's public videos, blogs, and podcasts.

ChatGPT got me another client today, but not in the way you might think. This is my second client from ChatGPT. The first one came from a ChatGPT recommendation, but this one came from ChatGPT actually just vouching for me. So what happened is yesterday I gave this client a pretty big proposal and today he called me and he said, I gotta be honest, I was kind of on the fence...

Maintain a consistent public evidence footprint across owned site, LinkedIn, TikTok, YouTube, blogs, podcasts, and other channels buyers may check.


AI-search users ask natural-language questions, so targeting only short keywords may miss ChatGPT-style queries.

First you need a totally different approach to how you're targeting keywords people use natural language to search with ChatGPT let's say you sell heatless hair curlers instead of targeting a keyword like heatless curls you should be targeting keywords like 'What's the best heatless curl product?' or 'How to do heatless curls?' and then the first part of your content needs to answer the question and then you...

Map conversational query variants such as “what is the best…” and “how to…” for each service/product, and answer them directly at the start of content.

ChatGPT search / conversational keywords


Headings, lists, and relevant schema markup are recommended to make content easier for AI systems to scan and understand.

Use structured headings, scannable lists, and valid FAQ, how-to, review, product, or local-business schema where content supports it.


The source says not to automate a process until there is an SOP that a human can successfully follow.

reason it's not worth building a complex automation is that you can get most of the benefit of these automations by just building a good cloud project or a custom GPT. For example, when I need to send a proposal to a client, I simply take the transcript from the call with the client where we discussed all the details...

Require a written SOP and human followability test before building AI or no-code automations for SEO and marketing workflows.


For many marketing tasks, an AI project or custom GPT can deliver most automation value while preserving review steps.

Prefer semi-automated AI workflows with human review for proposals, content, and strategy before investing in brittle end-to-end automation.


Competitor websites can be mined in SEO tools for ranking/search terms, then filtered with AI in spreadsheets to identify relevant content opportunities.

If you want content ideas, take any website in your niche, put it into an SEO tool. See what they're showing for on Google. This is a list of all the search terms that they are showing up for on Google. Pick terms that are related to you to make content on. You can even export the keywords. Have Google Sheets free AI evaluate if the keyword is relevant to you...

Build a repeatable competitor keyword mining workflow: export competitor terms, use AI-assisted relevance scoring, then manually validate intent and business fit before creating content.

Competitor keyword mining / content ideation


The passage says user-generated content is being prioritized in search and can be used as both content research and a ranking surface.

Investigate community surfaces such as Reddit, forums, and reviews, but validate any opportunity with actual SERP evidence.


The creator argues customer-focused SEO should use short, conversion-based pages targeting terms that represent the offer or desired outcome, rather than relying on long informational blog posts.

Just a reminder that this type of SEO, this is blog SEO is getting demolished by Google. It's getting clicks stolen by AI. If you have something to sell, the way to get customers with SEO is by making pages that look like this. You very specifically target a search term that represents what you are selling or that gives the outcome of what you are selling. This is what the rest of the page looks like...

Build concise bottom-of-funnel pages for high-intent service/product/outcome queries, with clear offer fit and minimal friction to convert.


Bottom-of-funnel SaaS landing pages can generate users and reveal repeated feature requests, creating a loop where new features become new SEO page opportunities.

The greatest of all time SEO strategy for software is bottom-of-funnel. So you make these bottom-of-funnel SEO landing pages targeting the use cases that you think your product will satisfy. These get you users. There will be some people who land on these pages. They use a contact form on your site. They ask, can your software do this? Can it do X, Y, and Z?...

For software products, create use-case/outcome landing pages and feed repeated sales/support requests into product roadmap and future bottom-funnel SEO pages.


The creator claims reasoning-model ChatGPT can outperform average or outdated SEOs on generic advice, while current experts still add value.

h idea is best so while an experienced s e o who's keeping up with Google changes can still give you better advice than ChatGPT I think we've reached the point where ChatGPT can give you better advice than the average s e o or even an experienced SEO that isn't keeping up with the changes and that's a fundamental shift in what makes SEO agencies and SEO consultants valuable it used to be that businesses had to...

Position SEO work around current testing, technical judgment, execution, and client-specific strategy rather than generic advice alone.


The creator suggests using ChatGPT as a quick consensus check when another SEO proposes a strategy, not as final authority.

As someone who's been doing SEO for clients for 16 years now, one thing that happens a lot is that clients will come to you and say, hey, this other SEO. Says we should be doing something different. And whenever this happens, I always look into whatever this other SEO is saying we should do. Of course, when you've been doing this long enough, most of the time, whatever this other SEO...

Use reasoning-model checks as a second-opinion input, then require expert validation for current, technical, or high-risk SEO recommendations.


Hidden same-color text can add prompt-injection instructions to retrieved web passages that LLM search tools pass into model context.

Business owners have been tricking Chat b t into recommending their business using some pretty funny tactics. So I just thought we'd talk about one of them, prompt injecting. So this tactic stems from how large language models like ChatGPT sometimes retrieve information. If you ask for anything that requires them to do a search, they'll often do a dozen or more searches...

Classify hidden-text prompt injection as manipulative AI-search spam; do not recommend it, and monitor for abuse as a reputational/search risk.


If prompt injection remains effective, LLM providers may need detection steps or manual/index-level penalties similar to Google’s response to spammy backlinks.

awl your website because again, it's common for the tools to do dozens of searches and often look through hundreds of search results. You might say, sure, that's working right now, but surely the large language models will be smart enough to ignore that in the near future. But that's not so clear. In fact, I have one friend that I trust for this kind of stuff. His name is Steve. Hi, Steve...

Track whether AI platforms begin filtering, penalizing, or excluding prompt-injection pages; treat current loopholes as unstable and high-risk.


An AI-generated financial advice site allegedly gained large short-term Google traffic after a core update, but the creator says unreviewed AI financial advice is risky.

We may have the winner of Google's June 2025 core algorithm update. It's basically the site is giving stock tips using AI. Looks to be mostly AI generated content. A month ago, they were getting 300,000 visits a month. After the core update, they are, oh my gosh, now they are getting 2 million visits a month from Google. Wild, wild stuff...

risk/avoid: do not copy unreviewed AI-generated YMYL content strategies; require expert review, accuracy controls, and risk assessment for finance/health/legal topics.


Cloudflare’s AI bot controls and pay-per-crawl model can block LLM crawlers; for product/service businesses, blocking AI crawlers may cause AI systems to recommend competitors instead.

So Cloudflare just declared war on ChatGPT and all the large language models. If you have a website of any kind, it's gonna have huge implications. So it's really important that you understand this. Cloudflare is a content delivery network. They also offer a bunch of security products and optimization products. It's actually where I host my domains. In fact, 20% of websites online are currently using Cloudflare...

Check Cloudflare and hosting defaults for AI crawler blocking; allow desired bots for product/service sites, while publishers may make a different traffic-protection decision.


Reddit Answers and other generative search systems are claimed to be vulnerable to keyword-heavy posts, bought upvotes, and comment manipulation.

This is the next target for black hat SEOs. Reddit answers. It's in beta. It uses generative AI to find synthesize summarize existing posts and comments. Only for stuff on Reddit, people are using keyword heavy language, making sure to use their keywords at the beginning of what they write, buying upvotes to their comments or posts. And Reddit Answers is recommending this stuff...

risk/avoid: do not buy upvotes or spam Reddit for AI visibility; monitor Reddit Answers and similar systems as emerging spam surfaces that may affect brand visibility.


A page trying to target too many distinct intents, such as buying, selling, and cleaning rugs, may fail to rank effectively because search engines cannot identify one clear topic.

Why is this page trying to target 1 million different searches and just not targeting any of them effectively do you sell rugs do you clean them forget about Google as a customer I don't 100% get what's going on here each page on your website should target one topic how are search engines gonna know if this page is about buying or selling rugs or cleaning them and you do actually have individual pages for all of...

Assign one primary topic/search intent per page; split distinct services or intents into separate pages instead of combining them under keyword-stuffed headings.


Keyword-stuffed headings across otherwise separate pages are claimed to hold back ranking potential.

risk/avoid: audit headings for unnatural keyword stuffing; rewrite H1/H2 structure around clear intent and readable page hierarchy.


Purchase-intent landing pages are positioned as more resilient than informational blogs because users are looking to take action, competition may be lower, and pages can be shorter with less backlink dependence.

AI overviews reduce clicks by 34.5%. 99.2% of keywords that trigger AI overviews are informational. All of these people with blogs are reporting their clicks are going down and their impressions are going up. Blog is mostly targeting informational keywords. You get your answer from AI Overview. There's very little reason to actually click into the blog to get what you need...

Prioritize organic landing pages for high-intent purchase/action queries and track conversions separately from informational blog traffic.

Purchase-intent SEO / AI Overview resilience


Google Keyword Planner can provide keyword ideas, search volume, competition estimates, and filters by location/language using Google data.

Google Keyword Planner allows you to do keyword research using Google's data use it to find keyword ideas based on what people are actually searching on Google how many times their searched per month and how hard they might be to rank for you can also filter by location language or even sort by low competition to find the best keywords all free.

Use Keyword Planner as a free baseline keyword research source; validate intent and competitiveness before selecting target keywords.

Keyword research / Google Keyword Planner


Perplexity Spaces may not fit brand-ambassador workflows when small context windows produce generic client output.

ar client and then we can use that project anytime we're creating content or developing strategy or brainstorming for that particular client. This process by far has been the biggest advantage I've seen from AI. And the great thing about Perplexity Spaces is that we could share them across our team, which you can't do in Claude and Gemini. So everything just seems perfect, right? That's why I bought enterprise...

Test shared AI workspaces on real client content before moving brand strategy workflows from existing LLM projects.


Calling the same underlying model through a wrapper/API may produce worse outputs than the native product because native platforms may add hidden checking/reformatting layers.

es it really efficiently. After doing some research on perplexity, my understanding is that it is retrieving only the content that it thinks is relevant for your query. And to save on money, it really skimps on how much it returns. Unfortunately, that alone makes it unusable for 90% of my use cases. The second problem is that even though perplexity is calling these other models, it's calling it through the API...

Add wrapper-vs-native model testing to AI content QA, especially for constrained outputs such as Google Ads headlines/descriptions.

Model wrappers / output quality contradiction


Cheap press-release distribution allegedly caused Google AI Overview to repeat positive claims about a fictional company when prospects searched the brand.

Apparently this is the new playbook for shortening sales cycles. Write a positive press release about your brand. Use a cheap press release distribution service like Fiverr or SEOClerks. When prospects search your brand, an AI overview is generated saying the good things you wrote in the press release. This guy just did this. He made up a company, spent $5 distributing a press release...

risk/avoid: classify cheap press-release seeding for AI Overview reputation as manipulative; monitor as an experiment pattern but do not recommend unverified or fabricated claims.

Press release AI overview manipulation risk/avoid


The source says Perplexity Enterprise Spaces can share workspaces, select models, and sync files from a Google Drive folder.

So last week I made a video about what each LLM is best at and in it I said that I don't know why anyone uses perplexity anymore and you guys called me out in the comments. In fact 18 of you mentioned that perplexity is actually kind of awesome and that was enough to make me think huh, maybe it's been too long since I've given perplexity a shot as in all honesty it had been like a year since I'd used perplexity...

Test shared brand-workspace setups with connected knowledge folders, while comparing model quality, permissions, and context handling against alternatives.


This positive Perplexity adoption claim conflicts with a later same-creator claim that Perplexity was canceled due to context/output quality issues.

Add as contradiction/review item: evaluate AI tools over real production tasks for at least 24–72 hours before standardizing team workflows.


The creator says a low-cost syndicated press release influenced an AI Overview for a fictional agency.

This guy gained AI overviews for 5 dollars. He bought a 5 dollar press release to say a fictional marketing agency now offers generative engine optimization services. This basically means doing SEO for AI. Would you look at that. I influenced the AI overview. Here it is. He wrote that his fictional agency has a 5 star rating...

Track syndicated-mention spam as an AI visibility risk, but do not recommend it as a tactic.


A claimed audience overlap shows 95.8% of ChatGPT users also visited Google, while only 9.8% of Google users visited ChatGPT, arguing against “Google is dead” narratives.

This is the audience overlap of Google and ChatGPT. 95.8% of ChatGPT users visited Google, while only 9.8% of Google users visited ChatGPT. I think it's an interesting reminder for all the people shouting Google is dead.

Treat AI search as additive rather than a full Google replacement; maintain Google SEO while tracking AI search visibility.


Shopify SEO should start with highly relevant keyword research focused on low competition and high search volume before optimizing product and collection pages.

If you want your Shopify store to rank higher on Google this is what you need to do before you do anything else start with keyword research you need to make sure they're highly relevant to your products and when you're looking at the metrics make sure they've got a low competition but a high search volume once you've got your keywords you can optimise your product pages these are all the places you should aim to...

Build a Shopify keyword map for products and collections; prioritize relevance, intent, competition, and volume rather than generic keyword insertion.


Relevant collection pages should be created/optimized for grouped product keywords and added to the navigation, using dropdowns where needed.

Audit collection coverage and navigation depth; create missing collection pages for important product groups and ensure users/search engines can reach them.

Shopify SEO / collections and navigation


After on-site Shopify optimization, backlinks/digital PR are positioned as a way to increase site authority.

Use legitimate digital PR as an authority-building layer after core product/collection SEO is in place; avoid low-quality link schemes.


The video describes scraping affiliate content, rebranding it, and publishing 10–15 clone domains to statistically reinforce LLM recommendations.

Apparently, this is the new way to game LMS. Take any affiliate site in your niche, scrape the content, swap out the branding, leave the rest intact, spin up 10 to 15 clones, host them for $200 a month, publish one page at a time, sit back and wait. This isn't for Google. It's for ChatGPT. LLMs don't rank pages. They calculate statistical likelihood...

risk/avoid: classify clone-domain statistical reinforcement as black-hat AI search manipulation; monitor as abuse, not methodology.


In Google Search Console, keywords ranking around positions 6–11 may be improved by identifying the ranking page and adding a few relevant sentences or exact keyword usage.

This thing is a mysterious black box. I'm going to unravel it. Go to Google Search Console. This is Google's own tool for submitting your website to Google's index. If you haven't submitted your site to it, do it next. Go to search results, toggle on average position. Look for keywords between positions 6 and 11. These are ranking either the bottom of Google's first page or the top of its second...

Use GSC to find near-page-one queries, update the ranking page with useful query-specific context, and measure ranking movement before scaling.

Search Console / content optimization experiment


Using 302 temporary redirects instead of 301 permanent redirects during a domain migration may prevent backlink authority from transferring properly.

Twitter X had one of the biggest L's in SEO history. Twitter.com last year in April was getting 3.3 billion clicks a month from Google. X.com right now is only getting 1.5 billion clicks a month from Google. Part of the reason for this could be due to how Twitter migrated to X. Backlinks are a cornerstone of SEO. They're what gives websites authority in the eyes of Google...

For migrations/rebrands, use 301 redirects for permanent URL moves and verify redirect status codes, backlink transfer, and organic traffic after launch.


The creator claims 90% of recent agency leads came from TikTok or YouTube and argues video builds trust at scale better than text-only content.

90% of the leads I've received for my digital marketing agency in the last month have come from TikTok or YouTube. I'm not saying that to brag. I just wanna talk about how effective video is right now. As I've said before, video is the only way to actually build trust with people without having a one-on-one interaction with them...

Test founder/expert-led short-form and YouTube video as demand generation; measure lead source quality, trust signals, and conversion.


Video from real founders/experts can be repurposed by AI into multiple content assets while preserving expertise and brand voice better than generic AI writing.

Capture expert video/audio as source material, then repurpose into articles, posts, and website content with human review.


Cloudflare's default AI crawler blocking and pay-per-crawl initiative may reduce AI access to major publisher content unless AI companies pay.

Your ChatGPT results could start getting a lot worse. The top 20% of the internet was just blocked to AI crawlers. This is a new move to protect publishers against AI theft. Massive sites like Quora, Time, USA Today, and Stack Overflow are already on board with this. These sites will disappear to AI unless AI pays them a fee. This initiative is from Cloudflare, which is used by 20% of the internet...

Monitor client Cloudflare AI crawler settings and publisher access changes; decide intentionally whether content should be available for AI crawling.


The source cites a Profound study finding 12% overlap between Google top-20 results and ChatGPT citations for the same searches.

Let's talk about the differences between ranking in ChatGPT versus ranking in Google. A lot of SEOs are still saying that it's pretty much the same thing because when you ask a question to one of these large language models, they're still using a search engine to find the answer. However, profound, which is the leading AI optimization tool right now just put out a study that definitively shows this is not true...

Track Google rankings and LLM citations separately, and verify cited overlap studies before using the number in strategy materials.


Press releases, self-declared “best” claims, and spammed top-10 lists may currently influence ChatGPT recommendations but are described as unsustainable and not recommended.

est choice. This does not seem to be working in Gemini or AI mode. Also, just calling yourself the best on your own website or spamming top 10 companies in industry lists to any website listing yourself as the best easily fools ChatGPT into recommending you. Now even though these tactics are annoyingly effective right now, I'm not recommending most of my clients do them. It just feels unsustainable to me...

risk/avoid: do not build client strategy on spammy ChatGPT manipulation; log as short-term exploit behavior requiring monitoring.

Spammy AI recommendation tactics risk/avoid


The source recommends long-term AI visibility work around complete website answers, business information, and high-quality distributed content.

Build customer-question coverage across service, product, FAQ, comparison, proof, and video-driven content; test prompts and citations over time.

Durable AI visibility / website completeness


Businesses should catalog websites that LLMs reference when making recommendations and work to be included in as many relevant sources as possible.

Create a source-map workflow: run target prompts, record cited domains/pages, prioritize credible inclusion opportunities, and monitor changes by model.

LLM source mapping / third-party inclusion


Context engineering is described as giving an LLM the context needed to complete a task as newer models handle larger context windows.

So most people have heard of prompt engineering by now, but there's a new term everyone's talking about context engineering. And so I wanna talk about that. If you don't know, prompt engineering is just the skill of writing effective prompts in ChatGPT or other large language models. In the early days of ChatGPT, there's a lot of skepticism about whether or not this was really a skill...

Create reusable context packs with goals, constraints, examples, brand knowledge, source documents, and review criteria for repeated tasks.


Spending 5–15 minutes, or longer for recurring tasks, to provide detailed instructions/context can improve LLM or human task quality.

he better I've gotten at working with LMS, the better I've become at working with humans. I think we have this natural tendency to just be very lazy when we're given instructions. This makes sense from a biological point of view, right? We never want to expend more energy than we need to...

For recurring AI workflows, invest in detailed SOP-style prompts and examples instead of relying on one-off short prompts.


Because Cloudflare is used by a large share of the web, default AI crawler blocking/pay-per-crawl could materially affect marketers, ecommerce, AI companies, and internet users.

This is the biggest AI news since ChatGPT launched. 20% of all the internet uses Cloudflare. Cloudflare now by default will block AI from training on its sites. The biggest publishers all use Cloudflare. The top 20% of the internet could start to vanish from AI. Cloudflare is also introducing pay-per-crawl. This means AI companies will need to pay websites to crawl their data...

Treat AI crawler access as an emerging visibility/governance factor; include crawler policy in technical SEO/GEO audits.