The creator uses a Disney spam-link example to argue that anchor text and surrounding language help Google interpret a site.

Spammers pointed thousands of links at Disney. Disney site links show black hat SEO packages. This is because of what's called anchor text. Anchor text is what shows over a link. We see black hat SEO packages. A lot of people think this is funny. By the time you watch this, this might not show anymore. For SEO, though, it's a clear lesson...

Audit external anchor text and surrounding language for important pages as reputation and search-risk signals.


Customers may come from ChatGPT without explicitly reporting it, so stated ChatGPT referrals likely undercount actual AI-assisted discovery.

In the last week, I've had several clients tell me that they got their first customer from ChatGPT and it's always so fun when that happens. Most of the clients I work with make a thousands of dollars for every customer they get so it's a big deal. But honestly, in most cases, it's probably not the first customer they got from ChatGPT. It's just the first customer that told them they found them on ChatGPT...

Add intake questions and sales-call prompts asking how prospects found the brand, including ChatGPT/AI assistants.


Recreating the customer's ChatGPT prompt can help identify why a brand was recommended and which sources influenced the answer.

When a prospect cites ChatGPT, ask for the exact prompt and rerun it across tools to map cited/referenced sources and competitor recommendations.


AI recommendations can be influenced by website changes, LinkedIn posts, or inclusion in third-party listicles.

Track which owned and third-party assets appear in LLM recommendation paths; prioritize source placements that models actually reference.


The creator claims the main factor in current LLM recommendations is how well known a business is in its industry and how much online content/conversation exists about it.

stment in AEO, but I would guess it's something like 2%. There's really not a lot of direct competition right now but I think it's safe to say that in the next few years that's gonna change very quickly. So I can completely understand why someone might want to wait until more people are using large language models to find businesses or wait until best practices have emerged...

Treat brand/entity prominence as a core hypothesis; build and measure authoritative mentions, conversations, and content around the brand.


Middle-of-funnel blog content, especially pricing, comparisons, and templates/checklists/calculators, may still gain search traffic despite AI Overviews and LLM answers.

Blog content is not dead despite what everyone is saying online and I can prove it. Siege Media just released a study that shows that certain types of blog content are actually receiving more traffic from search engines right now. So I wanna go through the top three types of blog posts that are performing better today than they were in 2023. But first, why are people even saying that blog content is dead?...

Prioritize MOFU content formats that support buying decisions and are hard for chat answers to fully replace.


Pricing guides, cost pages, pricing tables, and price comparisons are cited as blog/content types performing better than in 2023.

Create pricing/cost content with quality-positioning context, not just low-price comparisons.


Brand/product comparison content can rank when people search competitors and can influence LLM recommendations.

content is comparison content so this might be one brand versus another brand, a product compared to another product people love to read these comparisons and it's a great way for you to rank when people are searching for your competitors. Alright, I'm gonna tell you the final type of content that's going up and then I wanna show you one more finding from the study...

Build honest comparison pages and seek inclusion in credible third-party comparison/list content relevant to target buying prompts.


Templates, checklists, and calculators may be more resilient to AI answer cannibalization because they are difficult to fully reproduce inside a chat answer.

Add useful downloadable or interactive assets where they solve a buyer problem and can earn links/engagement.


Recommendation-bearing content on owned and third-party sites may increase the chance that LLMs recommend the brand in relevant prompts.

Build truthful recommendation content and monitor whether LLMs cite or paraphrase it in target prompts; avoid fabricated endorsements.


Local service pages should target specific service-plus-location keywords such as same-day drain cleaning in Denver.

If you have a local business, these are the types of keywords you should be making pages for. Same day drain cleaning in Denver affordable tree removal Charlotte top rated AC repair in Phoenix. SASS apps have figured out how to make a local service pages. Take a standard software landing page like this. Give it to ChatGPT say remake this page for a local business targeting this keyword. Give it your keyword...

Build or audit local pages around legitimate service and city intent.


A local service page starting point can include a keyword H1, short trust description, CTA button, and real image.

Use the elements as a starting checklist, then validate uniqueness, quality, and conversion performance.


Local SEO landing pages should be organized in a hub linked from the footer so they are close to the homepage.

Audit crawl depth for service pages and add a discoverable hub where appropriate.


An advertiser used ad copy telling users not to click and to call instead, avoiding expensive CPC charges but violating Google terms of service.

This goes against Google's terms of service, but it's kind of brilliant. Looking for an injury lawyer? Do not click cost $200 and they give the phone number to call instead. That way they don't have to pay $200 for the lead. The cost per click is actually $200. Law is a brutal niche, but is this worth the account suspension risk? What do you think?

risk/avoid: do not recommend click-avoidance ad copy or policy-circumvention tactics; document as an account-suspension risk.


Branded web mentions, branded anchors, branded search volume, backlinks, referring domains, domain rating, and branded traffic are claimed to correlate with AI Overview brand appearance.

A lot of the same stuff that makes your SEO pop also makes your AI SEO pop. Factors that correlate with brand appearance and AI overviews. AI overviews are these things. No. 1 is branded web mentions. No. 2 is branded anchors. So that means a link going to your site as the brand name, as the anchor text, and the amount of people who actually just search for your brand...

Treat as a pending factor list; compare with independent studies and use as measurement inputs for brand/entity authority.


The creator claims strong traditional SEO performance on competitive keywords also helps visibility in AI tools whose results resemble Google search results.

Keep SEO and GEO integrated; test whether rankings and brand-authority metrics correlate with AI tool mentions for target prompts.


Search behavior is shifting toward discovery engines where algorithms surface content on behalf of users.

The internet is moving away from search engines and towards discovery engines. So I want to talk about what I mean by that and what this means for any brand or business who's looking to get found online. So this is a trend that's been going on for about a decade now, but it's starting to accelerate recently. It really started back with social media as well as video platforms like YouTube...

Expand strategy beyond explicit keyword demand to content algorithms can discover and recommend proactively.


Brands should publish detailed FAQs, about pages, case studies, success stories, and testimonials.

been to create content focused on the things that people are actually searching for. And that will continue to be a good strategy. However, the shift towards discovery engines opens up entirely new areas of opportunity for content. I think these opportunities could be split into two categories. The first one is information specifically about your business or brand...

Audit owned-site proof pages for completeness, clarity, and enough detail to explain the business.


Content about what customers did not know they did not know is positioned as a fit for social video.

Use short educational video to create demand around overlooked customer questions and problems.


ChatGPT referral traffic is claimed to convert 8x-23x higher than Google in cited studies, even when it is a small share of traffic.

Traffic from ChatGPT converts at 23 times the rate as traffic from Google. That's the least what a trust found in a recent study they conducted looking at traffic to their own website. The actual conversion rate will depend on your industry. I've seen a handful of studies like this, but I think the lowest I've seen is about eight times the rate of Google traffic...

Track AI referral traffic separately and compare conversion rate, assisted revenue, and lead quality against Google organic.


In ChatGPT/LLMs, much of the buyer journey may happen inside the conversation before the user clicks through to a website.

Optimize the sources LLMs use to compare and recommend businesses, not only the destination landing page.


Businesses should identify sources LLMs use to recommend them or competitors, then either get recommended there or create better owned content to replace that source.

Build a prompt/citation audit workflow: map sources, classify controllable vs third-party, and prioritize source improvement or placement.


Mis-targeted or unclear page language can severely reduce performance; customer interviews revealed a wrong ICP and a simpler message produced a large lift.

What is the biggest jump in website performance you've ever seen from a single AB test? Lifetime achievement, 1,280% increase. I dumbed down the language, did a ton of customer, non customer interviews, found that the ideal customer profile was wrong, needed to target someone earlier, less experienced. The language on the page was completely mis targeted, shifted. All that was like a lightning strike...

Use customer and non-customer interviews to validate ICP and rewrite landing page copy in clear customer language.


Users avoid clicking unclear labels or made-up terms; headers should state plainly what the user gets.

Audit navigation, headers, and CTA labels for jargon or invented names that hide the destination/value.


Buyers may need 7-11 touchpoints before trusting a brand enough to buy, and expectations are rising across search, social, and offline channels.

The average person needs seven touch points with your brand or business before they trust you enough to do business with you. You may have heard this before and a recent study from Neil Patel shows that it might be as high as 11 touch points. So what does this mean?...

Build multi-surface visibility plans that create repeated authentic touchpoints, not single-page SEO exposure only.


People build trust faster with visible people than faceless brands, so business owners or internal experts should appear in content.

Encourage founder/expert-led video or posts where trust and expertise matter, with authentic routine-based publishing.


The creator claims 99% of AI Overview-triggering keywords are informational, so targeting transactional keywords can avoid AI Overview click loss.

AI market share is crazy. ChatGPT is at 81%, Google's Gemini is at only 3%, perplexity is at 11%, Claude at 1%, Microsoft Copilot at 4%, DeepSeek LOL at point one nine percent. But if you take Google's AI overviews into this, this yellow sliver is ChatGPT. The smaller sliver is all the other AIs. Everything else is Google's AI overviews. Google sends far more traffic than AI. 41%. ChatGPT is only 1.24%...

Review with current SERP data; segment keyword strategy by informational vs transactional intent and AI Overview prevalence.


Branded web mentions are claimed to improve visibility across SEO and AI assistants.

Include branded mention growth and quality in GEO measurement, but validate against actual prompt visibility.


Reddit's Perplexity trap is cited as evidence that AI search products can surface content indirectly through Google search results, reinforcing the importance of traditional SEO.

If you're convinced normal SEO isn't critical for getting into ChatGPT, perplexity. Reddit said it had set a trap for perplexity by creating a test post on its site that could only be crawled by Google search engine. It was otherwise not accessible anywhere on the internet. Within hours, perplexity search results had surfaced the content of that test post. Google has failed to stop SERP API...

Track whether target AI assistants retrieve through Google/SERP APIs and keep Google-indexed pages strong for AI visibility.


The creator predicts ChatGPT Atlas will not materially affect SEO soon because adoption is limited and it likely fetches from Google.

Here are the predictions for how Chatchee PT's new browser Atlas will affect SEO. Atlas needs a lot of improvement. It's not ready for big time yet. Prediction is it won't affect SEO at all. Nothing will change. It won't affect anything for the foreseeable future. Doubt it really makes a dent in terms of adoption...

Treat AI-browser impact as a monitoring item, not an immediate methodology change; continue tracking Google performance and AI-browser referrals.


If OpenAI built its own index and stopped relying on Google, the creator predicts weaker spam defenses could create an SEO free-for-all.

risk/avoid: document as platform-manipulation risk; monitor retrieval-source changes but avoid spam tactics that rely on weak AI search defenses.


People increasingly ask ChatGPT about brands and may believe the answer, making branded answer shaping important.

People are asking ChatGPT about you. People are hearing about your brand or your business and they're going to ChatGPT to learn more. Historically, people have done this on Google, and they still do. But more and more they're going to ChatGPT, and nine times out of 10, they're just gonna believe whatever ChatGPT says about you...

Audit ChatGPT answers for branded prompts and create owned/third-party content to correct gaps or weak trust signals.


An about page, FAQ page, and branded reviews page can influence what ChatGPT says about a business, especially if the reviews page ranks for brand + reviews.

Create clear about/FAQ/reviews pages with truthful evidence and monitor whether they rank and influence branded AI answers.


A transparent Reddit AMA with the brand name in the title may rank for branded searches and influence AI answers when it is genuinely relevant.

Consider an AMA only with moderator approval and real expert participation; do not astroturf or seed fake reputation signals.


Press releases may be more plausible for branded terms than competitive terms and may be repeated by ChatGPT when surfaced.

specially loves Reddit. ChatGPT used to love Reddit. I wouldn't be surprised if it came back around. The third method is to put out a press release. Press releases typically don't rank well for competitive terms, but for branded terms they can be very effective. ChatGPT especially loves press releases. Just like the content on your website or the content you post to Reddit...

Use press releases only for legitimate brand news and verify whether they affect branded SERPs or AI answers before scaling.


YouTube is described as a highly clicked search surface, and video testimonials can target branded trust queries such as `brand legit`, `brand review`, or `brand scam`.

YouTube is the most click site from search engines. Take any video testimonial you have, put it on YouTube. Make videos with these titles is your brand name legit? Your brand name review is your brand name a scam? Your testimonials show and answer these questions that possible customers might have. If you don't have video testimonials, transcribe the speech into English.

Publish/transcribe video testimonials on YouTube around legitimate branded trust questions to support reputation and search discovery.


Name-address-phone consistency matters again because ChatGPT may pull business details from obscure directories and show wrong contact/location information.

It's funny how all these old SEO factors starting to matter again I have a few other videos talking about how press releases are again very effective I wanna talk about another one today nap consistency nap stands for name, address and phone number in the early days of SEO it was very important that your name, and phone number were exactly the same in every business directory otherwise Google wouldn't be able to...

Add AI-assisted NAP audits to local SEO onboarding: ask ChatGPT for all known addresses/phone numbers and verify sources.


Incorrect NAP details found by ChatGPT can be traced by asking where it found them or searching Google for the wrong value plus the business name.

Use wrong-address/wrong-phone searches to locate and fix stale directory records.


Accidental geoblocking can block website traffic from specific countries because of CDN, plugin, script, compliance, or server settings.

Accidental Geo blocking is a scarily common problem with websites. As in you accidentally have your site blocked in certain locations. This is NBC New York. Com, blocked in Finland, in Germany, in Italy. Italy, in Norway. Was it intentional? Maybe not. It's available in Japan, in Mexico, in New Zealand, but not in Italy, not in Germany. Doesn't make sense. Accidental geoblocking is so common...

Add geographic availability checks to technical SEO audits before scaling traffic acquisition.


ChatGPT/LLMs are claimed to be more likely to cite content published or updated recently, especially within the last three to six months or current year.

Turns out ChatGPT loves fresh content. ChatGPT is way more likely to cite content that has been published in the last three months, six months, or at least this year. Now, of course, Google also loves fresh content, but ChatGPT really loves it. So if you want to be cited by large language models, you need to have a fresh content, or at least content that ChatGPT thinks is fresh...

Treat as a freshness hypothesis; prioritize refresh workflows for pages that target AI-search recommendations and monitor citation changes after substantive updates.


Updating only the publish date is framed as insufficient; pages with year references should receive at least small substantive updates such as a new paragraph or refreshed sentences.

Build an annual refresh process: find year-stamped pages with `site:domain year`, update the year only when the content also receives real changes, and record what changed.


Important articles can include a top section for current information that is updated monthly or quarterly.

For high-value evergreen pages, test a visible “latest update/current data” block and refresh it on a defined cadence.


Mass AI-generated SEO content can be vulnerable to Google updates, deindexing, and quality failures.

What should never be automated in SEO? The No. 1 answer might surprise you. Lots of people are obsessed with aggressive amounts of AI writing because they get results like this. The No. 1 thing that should not be automated said by pretty much every commenter, s C. O. Writing. At first I thought the new version of ChatGPT was quite good until I actually tried working with it and realized L m simply cannot think...

Avoid large-scale automated SEO writing without human editorial judgment, usefulness checks, and indexation monitoring.


Short TLDR summaries near the top of pages are presented as a way to answer users faster and improve conversions.

Test concise page-opening summaries and measure engagement or conversion changes.


Google is framed as moving from traditional ranking factors toward AI/user-behavior systems that predict and validate searcher satisfaction.

Could the best way to rank in Google actually be to ignore Google? That's what the renowned SEO Marie Hayes said in her most recent newsletter. And I actually think she might be onto something. I've been subscribed to Marie's newsletter for five or 10 years now. What is time? And I'm fortunate enough to call Marie a friend these days...

Treat as a strategic hypothesis: balance technical/traditional SEO with stronger intent satisfaction, usefulness, and brand trust signals.


Google's quality direction is described as favoring sources known as the go-to authority in their industry or niche.

deliver results that actually meet the user's search intent. The cheaper, faster, smarter these AI Models get, better Google's able to do that. And it's important to note that the AI Models Google is using to rank websites are not large language models. At least not yet. We're talking about smaller, specialized models like BERT and Nav Boost and glue...

For smaller brands, define a narrower category/subcategory to dominate and create genuinely useful content, tools, and resources around it.


Traditional SEO remains effective, but the creator expects it to become less important as ranking systems better predict user satisfaction.

Do not abandon traditional SEO; use it as the baseline while investing in durable authority, audience satisfaction, and entity reputation.


Searching `industry intitle:"write for us"` can surface industry blogs that accept guest articles and may provide backlink opportunities.

This Google secret is completely unknown. If you search your industry in title colon quotes write for us then you can see all the blogs in your industry that accept guest articles. These will get you backlinks. If you search site colon reddit com or site colon quora com your industry quotes how do I or quotes why does then you can find questions to make content on save years learning how to do SEO that gets...

Use as a prospecting operator for review, but qualify sites for relevance, editorial standards, traffic, and link quality before outreach.


Searching Reddit or Quora with industry plus question modifiers like “how do I” or “why does” can reveal questions to turn into content.

Add forum/question mining to content research workflows; convert recurring questions into intent-matched content only after validating demand and relevance.


Keyword rankings are a weak SEO success metric when they do not produce organic traffic, conversions, or meaningful business outcomes.

Your rankings are completely irrelevant. I don't know how many more ways I can tell people that your website's keyword rankings are actually not important. Let's say you're ranking position 1 for a load of keywords, but they don't actually bring you any website traffic. Or maybe they do bring you traffic, but you're getting no conversions from them. Why would you care about those rankings?...

Report rankings as context, but prioritize organic traffic, conversions, and lead or sales quality when judging SEO performance.


Press releases are claimed to help AI discovery because indexed syndicated pages can be found by AI even if they do not rank competitively in Google.

The way people find businesses and products is changing very quickly. We're moving into a world where AI Is doing all the research for us. The better this AI Gets, the more we're going to trust its recommendations. So the key for a brand that's looking to be found online is to be as noisy as possible. I say this a lot in my videos, but I thought it would be good to break down what I mean...

Review as a pending GEO distribution tactic; if tested, use legitimate newsworthy releases and track whether target prompts cite or mention the syndicated content.


The creator suggests press release titles can target terms and create syndicated pages that recommend the brand, but this should be treated as a cautious test.

Use only accurate, newsworthy releases with clear brand/entity information; do not use press releases as spammy AI manipulation.


Guest podcast appearances can create exposure, backlinks, multi-site distribution, and derivative short-form clips from a small time investment.

Add podcast guesting to the review queue as a possible entity/reputation and multi-surface visibility tactic; validate by tracking backlinks, citations, and prompt mentions.


Short-form videos can be repurposed into social posts, blog posts, LinkedIn articles, and Medium articles, creating many on-brand assets from one recording.

up the long podcast into a series of short form video. So you get a ton of content created and distributed on your behalf for a very small amount of your time. Now one important thing to point out about the host guest economy in podcasts. Even though everyone has a podcast these days, there are actually way more people who want to go on as a guest than there are people hosting their own podcasts...

Test a video-first content workflow for expert topics: record one short video, extract transcript, repurpose into multiple indexed/social assets, and monitor quality and visibility.


AI visibility still depends on understanding what people and AI systems search for and optimizing target pages around those terms.

u still need to be applying SEO fundamentals. You need to understand what people, and increasingly, AI, is searching for when they're looking for this information. And you need to make sure that the pages that you're trying to get found are optimized for those terms.

Keep GEO work tied to keyword/entity research, page intent, and on-page optimization instead of treating distribution alone as sufficient.


Video is claimed to be easier to win with because many direct competitors are not creating video, while platforms and Google increasingly surface video results.

Video is the easiest form of marketing and I can already hear you saying no TJ videos terrible. Maybe it's easy for you to make video, but it's not easy for me. It's gonna take a ton of time or money and no one's gonna see my video anyways. I'd rather just write blog posts or run ads. But the thing is, this is exactly how all your competitors feel too, which is why it's so easy to win with videos...

Audit competitor video presence for target topics; test video assets where SERPs show videos or competitors are weak.


Businesses should judge video by qualified customer views and leads, not maximum view count.

reds or thousands of dollars and you don't have to put a lot of effort into each video, it's easy to see how even 100 views from your ideal customer could be well worth the time. For most businesses, if you put a landing page up on your website and it got 100 visits, you consider that a success. And a typical landing page takes way more effort and converts at a lower rate than a good video...

Measure video success by qualified leads, audience fit, and conversions instead of views alone.


Top-performing organic videos can be edited into short ad spots, and video transcripts can become starting points for blog posts.

Use organic video performance as a creative testing layer before paid ads, and repurpose winning transcripts into edited SEO content.


ChatGPT referral traffic can be isolated in Google Analytics by creating a detail report with session source and filtering for ChatGPT's URL.

Google Analytics is hiding your website traffic from ChatGPT. Even though ChatGPT handles over 60 million searches per day, Google still classes this as referral traffic. I think we all know why they're doing that. But there is a way around it. So you can see exactly how much traffic you're getting from ChatGPT in Google Analytics and it's stupid simple to set up...

Create a GA4 detail report for session source, filter it to ChatGPT's URL, and add sessions plus value metrics where useful.


Cheap press releases are claimed to influence ChatGPT and Google's AI Overviews by seeding financial/newswire content that AI systems cite.

Don't share the secret. Don't share the secret. Don't share the secret. Don't share the secret. Don't share the secret. Don't share the secret. ChatGPT is hugely influenced by 6 dollar press releases. This guy bought a 6 dollar press release to get ChatGPT to recommend his newsletter as the best AI SEO newsletter for CMOs. ChatGPT is citing financial content...

risk/avoid: record as an AI-search manipulation risk, not a recommendation; avoid fake or low-quality press-release spam and monitor SERPs/AI answers for competitor abuse.


Before AI-assisted writing, keyword targets should be filtered by intent and difficulty so the right terms map to the right page type.

Before you fire up any AI writing tool, you need to make sure that you're targeting the right keywords. You can use any decent keyword research tool for this. I like to use Semrush. And you're gonna start by searching for a really broad term related to your industry. This should give you a huge list of keywords, which we're gonna filter to find the why behind the search. This is known as the search intent...

Check search intent and keyword difficulty before drafting, then map informational, commercial, and transactional terms to suitable pages.


AI-assisted SEO writing should start with keyword intent, competitor context, brand inputs, an outline, and section-by-section human editing.

le page. Now you can fire up ChatGPT. I like to create a project for each type of content and client I'm working on, because then I can just give it information about the brand, any content formatting, their writing style, what they offer. If you don't have access to projects, you can just give all this information in a new chat. Open up a new chat...

Use ChatGPT after research: provide keywords, intent, page type, brand context, and competitor examples, then approve an outline before drafting sections.


The creator claims pages linking out to high-quality relevant sources beat similar pages without outbound links when outbound links were the only variable.

Google actually rewards you for directing visitors off your website. These are 10 similar websites with similar content, all targeting the same keyword. All five of the pages that link out beat all five of the pages that don't link out. Linking out to other websites was the only variable. When you link out to high quality, relevant pages, it tells Google you're helping people...

Treat as an experiment to verify; add relevant, useful outbound citations where they improve user value, not as arbitrary “link juice” manipulation.


A site can be heavily cited by LLMs as an informational source while competitors are recommended more often, so citations alone do not equal AI visibility success.

Blogging has always been an important part of SEO, but that's been changing a lot lately because of AI. Even today, implementing an SEO campaign that didn't involve blogging is pretty much unheard of. What's changing are the types of blog posts that are effective and the method we use to write blog posts...

Track both source citations and brand recommendation frequency in prompt monitoring; do not treat citation share as the only GEO KPI.


Middle- and bottom-of-funnel content may matter more for LLM recommendations than purely informational posts.

Prioritize buying guides, comparison articles, top lists, and transactional pages that position the brand as a solution.


For AI visibility, it matters whether the pages LLMs use as sources recommend the brand.

Identify cited third-party pages for target prompts and review whether they recommend the client.


For high-value services, social strategy should prioritize potential-client exposure over mass trends and follower count.

ential clients and social media learns that so suddenly when you have something to say or you wanna attract your clients, they're not there listening. Instead it's viewers who want some of those social media trends and they're gonna scroll on and we get all in our heads about wanting quality content but as we see with t J's videos, you can just get on and ramble...

Measure short-form content by relevant audience, leads, and client fit instead of trend reach alone.


Simple expert videos can attract potential clients by helping the right audience relate to the problem.

Record low-friction expert videos for niche service topics, then edit or repurpose them later.


Microsoft guidance is cited to support self-contained sections that machines can understand without other page context.

So Microsoft just published an article called Optimising Your content for inclusion in AI Search answers, and it actually has some really good information about how to get recommended by large language models like ChatGPT. So I figure we could go through some of the big ones. This is what I love about Microsoft, by the way...

Structure AI-search content into self-contained sections with clear headings and enough local context.


Bulleted lists and tables are described as easier for machines to parse than large paragraphs.

Use bullets and tables for definitions, comparisons, steps, specs, and answer blocks where they improve clarity.


Microsoft is cited as recommending no more than one claim per sentence for machine understanding.

Split dense AI-targeted page copy so separate claims appear in separate sentences.


Important information hidden in tabs may be harder for machines to find.

Dash. Whether or not the em dash is confusing the machines, or the machines are just labeling it as AI content because of the em dash, I do think it's a good idea to be replacing all the em dashes in your content, at least for now. They also confirmed that machines have a hard time finding information that's hidden in tabs. This is something that's been shown a few times from tests over the years...

Keep critical SEO and AI-search content visible in the main page body, not only in hidden tabs or accordions.


Question-and-answer formatting is recommended as a machine-friendly way to align content with answer engines.

Add natural Q&A sections where they answer real customer/search questions, avoiding thin FAQ stuffing.


Em dashes are described as potentially confusing machines or being treated as an AI-content artifact because LLMs overuse them.

Treat as copy QA guidance: reduce obvious AI-writing artifacts where they hurt readability or trust, but do not treat punctuation alone as a ranking rule.


The source describes a freshness-spam test where changing only a research paper date allegedly influenced LLM outputs.

This is really sad. Marketers are using research papers to manipulate LLMs. This research paper publication date was changed to be more recent. Nothing else changed. Same text, same quality. LLMs value freshness, signals a lot. This is what happened. Every single model fell for it. Google uses stored versions of pages to see if marketers are changing dates without changing content...

Do not fake freshness; verify that AI-cited source updates reflect substantive content changes.


Cheap spam backlink packages are claimed to have tanked a competitor site through negative SEO.

It's crazy that this exists. This website purchased a huge amount of spam links. Spam backlinks pointed at a competitor website. 45,000 comment links, that was $15. 7,000 double tiered forum profile links, exact match anchor text. They were doing exact match anchor text here too. Cost $5. 4,000 sidebar links $20. Exact match anchor text. Total spent $40. Here's when the 45,000 comment links come in...

risk/avoid: treat as harmful/black-hat activity; monitor backlink spikes and prepare disavow/review processes rather than using such tactics.


Gemini Enterprise is criticized for model lock-in; the creator claims AI workflows often benefit from using different models for different tasks or steps.

So Google just released Gemini Enterprise and it actually looks really cool. It's obviously built with larger organizations in mind, but essentially it's a platform for building and sharing agents and have access to all of your company's data. This really should be the ultimate N a d n killer except there's one fatal flaw...

For AI operations, avoid unnecessary single-model lock-in and benchmark model choice by task before standardizing workflows.


As work shifts toward AI operating systems and agents, apps and websites may need to be accessible to agents or expose their own agent interfaces.

o either handle or help with each step in the workflow. I do think this is the direction things are headed in. I'm guessing there won't be a single winner here. There will probably be multiple platforms that people used to do this. I'm guessing that either Google or OpenAI will have the most popular platform, but there's still time for another company to come in and create their own...

Add agent-readiness to future product audits: crawlability, structured data, clean task flows, APIs, and agent task completion.


Pages ranking around positions 2-4 can potentially gain large CTR by refreshing content and fixing issues like slow page speed, weak titles/meta/H1s, delayed answers, fluff, poor images, boring copy, or ugly layout.

The difference in ranking No. 1 and No. 2 on Google is crazy. If you show up No. 4, your click through rate is 7.4%. At No. 3 it increases a little bit to 10.2%. No. 2 it increases a lot to 18.7%. But at No. 1 it more than doubles at 39.8%. If you're ranking 4 to 2, you can do what's called a content refresh. Some common issues you might notice maybe you're targeting your keyword awkwardly...

Prioritize content refreshes for pages already near the top; audit speed, title/meta/H1 placement, opening relevance, media, readability, and layout before creating net-new content.


Search ads fit known high-intent demand, while social ads fit demographic or interest targeting and offers that need explanation.

ing for the product or service that you sell. Social media ads typically make sense when there's a very specific demographic or shared interest among people who are interested in your product or service and that's because the social media algorithms are very good at targeting specific demographics and interests...

Use channel selection rules: search for existing high-intent demand, social video for education and interest-based demand creation.


Posting organic videos can reveal which platform and creative performs best before turning a winner into a short direct-response ad.

If your business needs leads or customers right now, running ads is the only reliable method. Don't worry, this isn't an ad. This is just something I find myself telling business owners quite often. I primarily do organic marketing. So search engine optimization, answer engine optimization, organic video marketing...

Test organic video creatives before paid social spend, then re-edit the best relevant performer into a short ad with a clear offer and CTA.


Ads in AI results from Google and ChatGPT are framed as an emerging third ad category with possible early-mover opportunity.

customers are there. My advice is that before running ads, post some content organically to each of these platforms. And I always recommend video content if it's possible. Try posting 10 videos to each of the social media platforms and see how they perform. Not only will this show you which platforms algorithm likes your content the most, it'll also show you which of those 10 videos it likes the most...

Monitor AI-results ad products and prepare small test budgets and measurement plans once formats and access are available.


The source claims even expensive competitive SERPs can include low-authority pages when keyword optimization is strong.

This is the keyword Personal Injury Lawyer NYC. A keyword like this is a 200 dollar cost per click, maybe more. These colors on the right show how well optimized pages are for this keyword. Notice how the green one is ranking number one? You put your keyword in these places, you'll get a green score. And you just want to look at this number here. This is how authoritative each website is...

Inspect ranking pages for authority distribution and on-page optimization gaps before ruling out a competitive keyword.


Placing the target keyword in key page locations is presented as a way to improve optimization scores and ranking potential.

Use as a review item: define/check exact keyword placement fields in page audits, but validate against current methodology and avoid tool-score chasing.


Because social platforms receive heavy Google Search clicks, creators should use searchable keyword language in titles and descriptions.

The most clicked websites in Google Search are social media platforms. That means if you are making content and you don't know how to find keywords or target keywords, you are leaving tons qualified visitors on the table. Use a tool like Semrush, Ahrefs, Moz. Find language that actually describes what you are talking about...

Put natural target language near the beginning of social/video title and description fields.


AI automation tools from OpenAI, Google, and Anthropic are becoming easier to set up, making more workflows worth revisiting over time.

It is very quickly becoming easier to automate things. Just in the last few weeks, all the major model makers have released features that make it easier to set up automations. But that'd be fun to run through a few of them. I actually did a video a few months ago about how most automations are a waste of time...

Maintain an automation backlog and periodically re-evaluate workflows that were previously not worth automating as agent and browser capabilities improve.


Search Engine Land is cited as openly using AI-written content with human editing and review disclosure.

The biggest search optimization blog is now openly using AI written content. Search Engine Land. This is an AI writing their article. What they do is very smart. If you're putting up AI written blog content that reads like it's written by an AI, look at this mdash totally reads like it's written by an AI. Say that it is edited and reviewed by humans. The biggest search engine optimization blog using AI content...

If using AI-assisted content, disclose human editing/review and keep human editorial accountability.


ChatGPT Apps built on MCP and the Apps SDK may let users interact with business functionality inside ChatGPT instead of visiting a website.

So OpenAI just announced ChatGPT apps. I wanna talk about the opportunity they present for anyone with a website and how they give us a clue as to what the future of the internet might look like. I actually just made a video a few days ago about how websites are gonna become less important. You wanna clarify that? I think websites are gonna continue to be very important for at least a few years...

Track ChatGPT Apps and MCP as AI visibility channels, and evaluate whether client sites need app or API readiness as access matures.


Being early with a ChatGPT app is framed as a potential new-channel opportunity, similar to early business websites.

Treat ChatGPT app development as an experiment candidate; monitor adoption, platform requirements, and measurable referral or conversion impact.


The video argues “SEO is dead” is FUD, citing Google/search market share and Google Trends interest in SEO as evidence that SEO remains relevant.

SEO is dead. SEO is dead. SEO is dead. June 2025 traditional search like Google has 9.78% market share. Ecommerce has 3.13% market share. AI tools compared to all the rest has point six four% market share. Google Trends search engine optimization as a topic interest over time. SEO is at an all time high. Don't give into the fear, uncertainty and doubt. SEO is far from dead.

Treat as a contradiction against “SEO is dead” claims; maintain separate SEO and AI visibility strategies instead of abandoning SEO.


Google Merchant Center can surface product feeds in Google search results after adding product feed, shipping, and business info.

Google Merchant Centre is a free tool from Google that allows you to put your products on Google search results. All you need to do is sign up for an account, add your product feed, shipping and business info and Google automatically pulls in your products to show them in search results.

For ecommerce clients, verify Merchant Center setup, product feed health, shipping/business info, and product search eligibility.


Important pages should immediately make clear what the page is about and who it is for, supporting SEO, brand clarity, and conversion.

I do SEO. And occasionally when I'm talking to a business owner, they say, we want you to help us rank higher in Google, but we don't want to change the words on the page. And this can be a problem cause most of what we do in SEO. Is change the words on the page. However, the conversation is a little more nuanced than some SEOs might make it out to be. Because of course, SEO. Isn't everything...

Audit key landing and service pages for above-the-fold clarity: product or service name, audience, and next action should be obvious.


Service pages should use terms real customers search for, not only internal or technically correct terminology.

focused on conveying a specific message or eliciting a specific emotion. And there's nothing wrong with that, but if the visitor can't tell what you're selling, then it's all wasted. Moving on, let's talk about what's most important in each of these three areas. For SEO, what really matters is that you're using the same terms that people are searching for when they're looking for whatever this page is about...

Map internal service names to searcher vocabulary before rewriting core page copy.


For service pages, the searched term should appear in the H1 or title, meta title, and ideally the first sentence.

Add these fields to page-level SEO checks while still reviewing brand voice and conversion clarity.


Website copy often needs to balance SEO terms, brand differentiation, and conversion clarity rather than optimizing only one goal.

Use a page-by-page heuristic to decide how aggressively SEO copy should change revenue pages while preserving brand and conversion needs.


Future brand discovery may rely less on websites and more on agents or APIs that verify identity, share information, and facilitate transactions.

tirely on the product. Now, of course, it's impossible to say what that product will look like. Otherwise it would already be here. But it's clear that there's a better way. Whatever that product is, it will need some way of retrieving information, verifying entities, and facilitating transactions. OpenAI, of course, is already trying to do this with ChatGPT, but I think that's just the first step...

Track MCP, A2A, and API patterns and prepare structured, machine-readable brand and entity data for future agent access.


Early brand agents or APIs may use the website as an information source, so owned-site entity data can remain useful even if interfaces change.

Keep owned-site brand, entity, and transaction information structured and accurate while monitoring agent/API interface patterns.


The video claims the 2024 Google API leak showed Google tracks clicks, long clicks vs short clicks, and that higher-click sites can get better rankings.

You'd never guess this about Google. Google had its biggest leak ever last year in 2024. This is some of the things that were revealed. Google demotes sites with exact match domains like bestchicagoplumber.com. Google tracks your clicks in Chrome. Sites that get more clicks get better rankings. Long clicks versus short clicks are measured. You want people to click then stay in your site...

Review against primary leak analyses before use; if supported, include engagement/satisfaction signals as an audit hypothesis, not a direct ranking guarantee.


The video claims backlinks from URLs with no clicks/traffic may be considered low quality, even if the domain is high-authority like Forbes.

In link evaluation, consider page-level traffic/click potential and relevance, not just domain authority.


Shopify’s native WordPress integration is positioned as combining Shopify checkout with WordPress SEO reach.

Shopify. Shopify finally just dropped a native integration with WordPress. A lot of people hate Shopify's limited SEO capabilities. WordPress, on the other hand, is notoriously excellent for SEO. This is going to make a lot of businesses a lot of money. Shopify's checkout power with WordPress's massive reach. And learn how to do SEO that gets customers with ecommerce at compactkeywords.com.

For ecommerce projects, evaluate Shopify + WordPress integration only if it improves SEO/content flexibility without harming technical maintainability.


One expert video transcript can become LinkedIn, Reddit, X, captions, descriptions, and an SEO blog post with AI-assisted repurposing.

ur phone and ramble into the camera like I'm doing right now. I'm walking my dog right now. It's not taking any time out of my day. And if you can tell, I'm just speaking a few sentences at a time. This gives me time to think before each sentence. And then once I'm done, I just drag this into my AI video editor Descript and it automatically takes out all the bad takes and the gaps...

Use expert video or transcript as the source of truth, then have AI assist repurposing across search and social surfaces.


AI-assisted content quality improves when grounded in human context, unique insights, and personality rather than generic prompts.

Most of the content online is now AI generated. According to some research, by 2026, it's estimated that up to 90% of the content online could be AI generated. If you're a business or have any kind of brand, creating content could seem pointless...

Require expert input, transcripts, examples, and brand guidelines before generating AI-assisted content for public use.


As AI-generated video becomes harder to distinguish, real human video may become more valuable for brands that need trust.

Sora 2 is insane. And don't worry, this video wasn't made with Sora 2. You can stop looking for the watermark. But that's exactly what's crazy about it. You can't tell right away. But also no one's really surprised, right? We all knew this was coming and even though we all know it's gonna be harder and harder to tell which videos are made by AI, I'm gonna make the argument that this is the best time to be making...

Use authentic founder or expert video as trust-building evidence, especially before AI-generated video saturation increases.


Obvious AI writing markers cited include overuse of em dashes, “in today’s digital landscape,” excessive bolding, and repetitive AI-like sentence structures.

So many people were triggered by my last video on this, which just tells me a lot of you are using AI and you don't want to admit it. If your content uses the phrase it's straight out of ChatGPT I don't care how much you love them. If your content includes em dashes, bonus points if you've got multiple em dashes in the same piece of content, it's AI...

Use as an editorial QA warning: remove generic AI phrasing and formatting patterns before publishing.


The video claims Google made it expensive to crawl beyond page 1, restricting AI tools toward top-10 Google results and contributing to Reddit citation drops.

I'm in the middle of the Google office running. Nobody knows this about Google, but Google fired massive shots at ChatGPT. They recently made a change that makes it very expensive to crawl past page 1 of Google. The result is sites like Reddit took a massive dip in ChatGPT citations. A few weeks ago Reddit citations in ChatGPT were at 14%. Now they are at 2%...

Mark as contradiction/needs verification; if true, top-10 Google visibility becomes more important for AI visibility, but do not act without confirming.


Tracked ChatGPT citations reportedly shifted in mid-September, with Reddit dropping by about half for many clients.

Traffic from ChatGPT to Reddit has recently been cut in half. If you don't know, Reddit has been the most cited source by ChatGPT for quite a while but it looks like ChatGPT put out an update in mid September and now it cites them much less often...

Monitor AI citation sources regularly and avoid overdependence on one platform.


AI visibility depends on being mentioned in sources that LLMs cite before recommendations, and source patterns vary by industry.

Build source-level visibility maps per industry and pursue credible mentions in cited sources that influence target recommendations.


Reddit citation share in ChatGPT reportedly fell sharply, and the video compares this to historical search-source churn like Yahoo Answers, Quora, Reddit, and Medium.

Reddit looks to be getting removed from ChatGPT. This was Reddit citations a few weeks ago. It reached 14%. The percentage of ChatGPT responses citing social platforms Reddit was at 14%, but look what's happening now. Way, way, way, way down. It seems to be almost removed from ChatGPT citations. Does SEO AEO GEO influence the stock market? It might...

Treat individual citation platforms as unstable; diversify AI visibility efforts across multiple trusted sources.


Featured is described as a platform where experts can answer publisher queries and potentially earn quoted links, with three free answers per month.

If you wanna use digital PR for link building, you need this tool. Featured is a platform that publishers use to find experts they can quote in their content. You can submit up to 3 answers per month on the free plan, and if they choose your answer, they'll use it in their article and link back to your website. All free!

Test Featured as a low-cost digital PR/link-earning channel; track acceptance rate, link quality, and relevance.


ChatGPT Instant Checkout with Etsy/Shopify and the open Agentic Commerce Protocol may create an AI SEO opportunity for SMB sellers.

ChatGPT already helps millions of people find what to buy. Now it can help them buy it too! We're introducing instant checkout in ChatGPT with Etsy and Shopify, Open sourcing the agentic commerce protocol that powers it, built with Stripe so more merchants and developers can integrate Agentic Checkout. FYI, this has the potential to be a generational AI SEO opportunity for small and medium sized sellers...

Track Agentic Commerce Protocol requirements and test product/listing optimization for AI purchase-intent queries.


Matching the language people use when searching for products to product listings is framed as important for ChatGPT shopping visibility.

Research purchase-intent language and reflect it naturally in product listings, titles, descriptions, and supporting content.


OpenAI and Google are moving toward AI shopping experiences where users can find and buy products inside ChatGPT or Google AI Mode.

Looks like we're about to see a big shift in the way people find and buy products online. Just in the last 24 hours, both OpenAI and Google announced their plan to become the leader in AI shopping. So I wanna talk about those announcements, what this will mean for e commerce businesses, and then my thoughts on how this might roll out to other industries as well. So let's start with OpenAI...

For ecommerce clients, monitor AI-shopping eligibility and prepare feeds, structured data, Merchant Center, and platform integrations.


For Google AI shopping, the source recommends making sure ecommerce stores are connected to Google Merchant Center.

Add Merchant Center connection checks to ecommerce AI and search visibility audits, and separately validate product schema where source data supports it.


A/B tests are cited showing cute/clever pricing-page copy can underperform clear direct labels, especially around money.

Time and time again, AB tests show that it's not a good idea to use cute copy on pricing pages. Here's an experiment from any DOT do. They tried boss up go premium against just premium and premium won out. The article that says this don't get cute with words, especially when it involves money. And it says it over and over again. It's a big deal...

On pricing and checkout pages, prefer clear/direct copy over playful wording; test before using clever labels.


TikTok keywords should appear in spoken words, on-screen text, captions, and the video description to attract consistent viewers.

Okay, so these are the four places that you need to include your TikTok SEO Keywords if you want to attract new viewers consistently to your videos. The first one is the spoken words you actually use in your video. If you notice, I said TikTok SEO at the beginning of this video because that's what I wanted to show up for. So you need to do your keyword research before you film...

For TikTok SEO content, perform keyword research before filming and naturally include target terms in audio, on-screen text, captions, and description.


Keywords in URLs can help ranking, but changing indexed URLs is usually not worth the trust or authority loss.

ked if and when subfolders should be used. If you're not familiar with subfolders, this would be like if you had a blog post under your domain slash blog slash post name. The slash blog would be the subfolder. Now, because you're probably not trying to rank for the word blog, it would usually be better to have the category name as the subfolder, but this really isn't that important...

Use clear descriptive URLs for new pages; avoid changing indexed URLs unless there is a strong reason and a proper 301 redirect plan.


The creator claims ChatGPT pays close attention to page title, URL, and meta description before deciding whether to inspect content.

But if all pages are at the top level, then no page is important. So my advice is, if you're trying to rank a page for a competitive term, don't put it inside more than one folder. Subfolders can also help you distinguish different types of content or different intents of content on your website...

For AI visibility experiments, make URLs, titles, and meta descriptions clear representations of the page content.


Deeply nested URLs may signal lower priority; competitive pages should usually avoid being buried under multiple subfolders.

Review critical pages for excessive nesting and plan shallow architecture for new competitive landing pages.


Unchecked AI-generated programmatic SEO pages are described as sloppy and at risk of Google’s scaled content abuse penalty.

Lovable. The vibe coding platform is doing some reckless SEO scaling. They're scaling unchecked AI programmatic SEO pages. Example how to build AI powered conversation assistant project projects. You see this across pages. Here's another one. Example how to build AI powered platform development project projects. These are AI programmatic SEO pages that are just unchecked and sloppy...

risk/avoid: do not scale AI pSEO without human review, quality controls, unique value, and architecture checks.


The video criticizes pSEO pages placed too far from the homepage because they receive less link equity.

For programmatic pages, review internal linking depth and ensure important templates/pages are not orphaned or buried.


The video cites Profound research finding little correlation between backlinks and AI search citations.

ason I'm buying fewer backlinks. The main reason has to do with large language models in AI search. I believe that within a few years, large language models are mostly going to replace traditional search engines. And this isn't because people are going to stop using Google, they won't. It's because Google themselves are trying to replace their traditional search results with their own large language model...

Use backlinks selectively for Google terms, but test AI visibility through mentions and cited-source presence.


The creator mentions buying backlinks historically but reducing it; paid backlinks remain a manipulative/risky tactic.

Backlinks have always been one of the primary factors for ranking at the top of Google. As an SEO, I've bought many thousands of backlinks over the last 16 years. But recently I've been buying far fewer, and so I just want to talk about why. So if you don't know, a backlink is just a link from another website pointing towards your website. It's actually the thing that made Google Google...

risk/avoid: do not recommend paid backlink manipulation; if links are pursued, prefer legitimate digital PR, editorial mentions, and source relevance.


Meta descriptions may influence LLM visibility because AI systems can review titles, URLs, and descriptions before choosing pages to inspect.

Recently we've been learning a lot about how ranking in large language models like ChatGPT is different than ranking in Google, and so I just wanted to talk about one of those. Every web page has something called a meta title and a meta description. These are invisible on the page, but they're typically what you'll see on Google's search results page...

Test answer-forward meta descriptions that clearly signal page usefulness for likely AI-assisted questions.


Spoiling the answer in a meta description is presented as a way to signal that the page contains the answer an LLM needs.

For pages targeting AI-assisted queries, test answer-first meta descriptions against conventional teaser-style descriptions.


AI assistants and agentic browsers may become the main interface for finding information and choosing businesses, changing discovery away from individual users browsing many sites.

The way that people interface with content online is going to change dramatically in the next few years. All the big AI model makers realize this, and that's why they're racing to become the operating system of the internet. Google is quickly rolling out their AI mode. Perplexity is pushing their Comet browser. Claude and ChatGPT both have a product that can agentically use a computer on your behalf...

Track agentic search/browser behavior as a strategic trend and map how target customers may delegate research/selection to AI systems.


The recommended AI visibility approach is to track where models look before recommending a company and secure brand mentions in as many of those places as possible.

we're focused on for our company and our clients is tracking where these models are looking before they recommend a company, making sure our brands are mentioned in as many of those places as possible, and putting systems in place to create high quality content at scale. I believe as we move into 2026 and 2027, the noisiest brands are gonna win.

Create industry-specific source maps from AI answers/citations, then pursue credible mentions in repeatedly referenced sources.


The creator predicts that in 2026–2027, “noisy” brands with lots of high-quality content across the internet may win AI-era visibility.

Treat as a hypothesis: build consistent multi-surface content distribution, but measure quality, citations, and conversions rather than volume alone.


Informational blog traffic may decline when AI answers satisfy queries, but product businesses can still benefit if AI recommends their product.

You should absolutely be creating blog content on your website. Recently, you might have heard some SEO saying that blogs are dead and that blog content doesn't work anymore. There is some truth to this that I want to address, but then I want to talk about why blogs are one of the best things you could be doing right now. Blogs tend to rank for what are called informational queries...

Prioritize blog topics where the useful answer can naturally include the product or service instead of traffic-only informational posts.


Buying guides, best-fit lists, and how-to solutions can support AI recommendations if they target real questions and stay helpful.

Build content briefs around real buyer questions and include the product only where it is a credible, useful part of the answer.


Google’s Rich Results Test can reveal structured data and errors that affect eligibility for richer search listings such as pricing, reviews, and delivery information.

Free SEO tools that actually help you rank, part 18. Google's Rich Results Test lets you see structured data on your website pages, which influences how they appear in search results. Structured data gives you richer results, so rather than just showing the page title and description, Google will show things like pricing, reviews, delivery info. All of this encourages more clicks from Google search...

Use Rich Results Test in technical SEO audits to validate structured data and fix rich-result eligibility errors. Transcript source was ASR; wording needs review.


Google quality raters may evaluate results on smartphones; poor mobile design can hurt how pages are perceived and potentially targeted by quality-related algorithms.

Google actually hires humans to rate the results that show up in Google search. These people are called quality raters. And I had one of them come on my podcast. This guy right here, this is Cyrus Shepherd. He's a very well known SEO. He told me he was required to rate results using his smartphone and not his desktop computer...

Audit priority pages mobile-first: readability, layout, task completion, speed, and conversion flow before desktop polish.


SEO is a weak primary strategy when people do not know the product category exists and lack shared search vocabulary for it.

SEO is not the right strategy for every business. So I wanna talk about how to know if SEO is right for you, and if not, what you should be doing instead. It's actually pretty simple. Are people going to Google and searching for your product or service? Yesterday someone dmed me on TikTok...

Before recommending SEO, validate existing search demand, category awareness, and the terms buyers actually use for the product or problem.


For novel products with clear target audiences but low search demand, organic social and social ads may outperform SEO in the short term.

For unfamiliar products, test compelling product-demonstration videos organically, then run the best 15-second version as an ad with a strong CTA.


For products likely to be recommended by ChatGPT, the suggested tactic is to identify pages ChatGPT references and get the product/service listed on as many of those pages as possible.

l media advertising. If your ideal customer is not aware of your product or service, you need to inform them. As long as there is a target audience for your product or service, you can get in front of that audience on social media. Typically this is going to mean creating a compelling video that shows off your product or service...

Build an AI recommendation audit: prompt target scenarios, identify recurring referenced pages, and pursue credible inclusion/mentions where appropriate.


A changed hook/title reportedly moved similar subject matter from very low engagement to 549,000 views, suggesting packaging can be more important than topic alone.

The original hook for this was new interview on turning an online solitaire game into a one point five thousand dollar a month side hustle. It got three. Like, four years later, the hook was changed to a simple website with a good domain name could replace your salary. It got two point 4,000 likes and 549,000 views. Sometimes it's not your subject matter, it's just your hook...

For short-form distribution, test multiple hooks before judging a topic as failed; track hook variants separately from subject matter.


The video describes inspecting ChatGPT network responses to see search queries used by ChatGPT web search.

If you want to see how ChatGPT searches the web for you, do this. Ask it a question where it's going to do a search. Copy this string after forward, slash C. In Chrome, right click and hit inspect. Go to network at the top. Refresh the page. Now you'll see something like this in filter. Paste the string you just copied. Click this icon here. Go to response. Search this code for queries...

Use only as a research experiment in controlled environments; document queries to understand AI search intent, but do not rely on internal/debug behavior as stable methodology.


SEO is not dead, but strategy changes as users ask LLMs and LLMs search with more specific terms across many more pages.

SEO is not dead, but it is changing faster than ever before. Recently, some content creators have upset the SEO industry by claiming that SEO is dead. Often times these influencers are selling some kind of Geo or AI optimization product. But as anyone who's actually practicing SEO on a daily basis right now knows, SEO isn't dead at all. In fact, as of right now, not much has changed...

Keep core SEO work, but adapt research and content strategy for long-tail AI-generated queries and broader source coverage.


AI chatbot traffic can be tracked in GA4 with Session Source and Landing Page dimensions filtered for sources like ChatGPT and Perplexity.

You have got to start analysing your website traffic from AI chatbots. If you're only checking your website search traffic from Google, you aren't seeing the full picture anymore. And it's super easy to track AI search traffic in GA4. Here's how. Click Library in the reports tab, create new report, create detail report, choose blank. Add Session Source and landing page as the dimensions...

Add an AI-referral report in GA4 and monitor which chatbots and landing pages drive the most traffic.


Businesses should create pages for what customers search for, not only for internal service categories.

I wanna talk about a mistake that nearly every business makes with their website. In my experience, this is the number one thing that is preventing businesses from ranking in Google search. It has to do with the pages you choose to put on your website and what you title those pages...

Map service pages to customer vocabulary and intent before deciding page titles and architecture.


Intent-specific service pages can improve SEO and UX when each page is genuinely tailored to the searcher.

re not creating a page for each thing you do. We're creating a page for each thing someone searches for. And I'm not talking about creating a bunch of low quality, spammy pages stuffed with keywords. Create the highest quality page possible for this searcher. Sure, your window tinting process is probably the same on Tesla's as it is on trucks...

Create only useful intent pages with relevant examples, pricing, testimonials, and copy; avoid thin keyword variants.


SEO can target people actively looking to purchase by finding purchase-intent keywords and creating individual pages matched to those keywords.

People can sell yachts with SEO. Whatever the consumer category is. High end, cheap services, products. People are turning to search and to AI looking to purchase things and use things. SEO is the only marketing channel where you can target these people looking to purchase right now. Target them for free. All you need to do is find the keywords people are using to search with purchase intent...

Build keyword research around transactional intent and create dedicated pages only where the intent/page match is strong.


The source argues that some low-authority pages can still appear for competitive keywords when their on-page optimization is strong.

Nobody knows this about Google. Anybody can rank for keywords if they optimize for them properly. This is the keyword personal injury lawyer NYC. A keyword like this has a 200 dollar cost per click, maybe more. These colors on the right show how well optimized pages are for this keyword. Notice how the green one is ranking number one? You put your keyword in these places, you'll get a green score...

Use SERP analysis to compare authority and on-page optimization before dismissing a keyword as impossible.


Generic rank tracking is unreliable because tracked keyword sets are limited, rankings fluctuate, and results vary by searcher location/personalization.

If you're running an SEO campaign, you're probably tracking keyword rankings, and this makes sense, right? To know how well the SEO campaign is doing, you need to know if you're moving up in the ranks. However, as someone who's been doing SEO for 16 years, I'm gonna tell you that rank tracking is one of the worst ways to track the performance of an SEO campaign. I'll tell you why it's so unreliable...

Evaluate SEO performance primarily through Google Search Console traffic and business-relevant page performance rather than broad rank-tracking dashboards.


Local rank grids can be useful for local businesses because they show rankings from specific physical locations and reveal geographic competitor patterns.

For local SEO campaigns, use grid-based rank tracking selectively to identify weak map/search areas and location-specific competitors.


The creator recommends judging SEO by non-branded organic traffic to transactional pages, not total traffic or blog traffic alone.

you don't care about all traffic. For example, branded traffic. If someone is searching for your brand by name, you should rank at the top of Google no matter what you're doing on the SEO side. So when you're trying to evaluate the performance of your SEO campaign, you should filter out branded traffic. Also, it's important to understand that some traffic is just much more valuable than others...

Add a reporting view for non-branded organic traffic to product, service, and other transactional pages, and prioritize it in SEO reviews.


An experiment is cited where fully visible FAQ/content text received 12% more organic sessions than the same text hidden inside accordion tabs.

According to Faqs, make websites do worse in SEO, an experiment was done to test the performance of text within tabs versus text that's fully visible. Text within tabs, fully visible. This is an accordion element. These drop down. This is the drop down already visible. The version with text fully visible got 12% more organic sessions than the text hidden within the tabs version...

Treat as a test candidate: for critical SEO answers, prefer visible content or run an A/B/SEO test before hiding important text in accordions.


The source frames AI use as secondary to content quality, while warning that low-quality scaled content can trigger scaled-content-abuse penalties.

How does Google feel about AI content? This often comes up when I'm talking about using AI to create content for SEO purposes. People will say things like, won't Google be able to tell that the content was created using AI? And first of all, no, Google's algorithm can't tell if something was created by AI. But two, it wouldn't matter if they could...

Allow AI assistance only with editorial review, unique value, and quality gates; avoid scaling generated pages before quality is proven.


Creating large amounts of low-quality content at scale is presented as the real penalty risk, whether or not AI is used.

Do not use AI or automation to mass-publish low-value pages; require quality, usefulness, and review gates before scaling.


The source cites a 33% conversion lift after adding short TLDR summaries near the top of articles and product pages.

If you add TLDRs to the top of your articles, you will get a massive conversion boost. This guy how adding TLDR boosted my conversions by 33%. For articles, this person added a short 2 to 3 sentence summary at the top, giving the main points right away. For product pages, wrote a quick summary of the product's features and benefits placed right under the title. This is how you want the top of your pages to look...

Test concise above-the-fold summaries on key article and product pages, then measure conversion impact.


The creator says fully outsourced generic social posts often fail because people connect with people, not faceless brand graphics.

You should not pay an agency to handle your organic social media. I wanna talk about how I keep seeing businesses wasting their money this way and then what you should be doing instead. First of all, you should absolutely have an organic social media presence for your brand. Problem is in outsourcing it entirely to someone else to handle...

Use founder, expert, or customer-facing videos as source assets; agencies can help edit and repurpose rather than invent generic posts.


The source cites Ahrefs finding that over 80% of top-20 pages contained some AI content, while only 4.6% were fully AI-written.

If you're wondering if AI content can rank on Google, you need to see this. Ahrefs have published this huge bank of AI SEO statistics, and anyone who says that AI content can't rank is wrong. They actually first published these findings in July, where they studied over 6,000 pages ranking in the top 20 on Google...

Treat AI-assisted content as viable, but distinguish edited assisted work from pure AI drafts and verify the cited study before external use.


The creator argues pure AI content is usually only a first draft and is not fit for publishing unchanged.

Avoid publishing unedited AI drafts; add expert review, examples, fact-checking, and brand voice before release.


A cited test found LLM extraction worked from pages with visible HTML text, not from schema-only product information.

If you've ever had an SEO agency try to rip you off by saying you need schema for LLMs for AI, look at this. This guy just put out a viral LinkedIn post showing how ChatGPT is just Royan product schema right here. These different colors mean that ChatGPT is not understanding the schema and isn't using it. This stuff is very expensive for SEO agencies to implement...

For AI visibility, put important product and entity facts in visible page copy, not only in structured data.


The source warns that agencies may oversell schema as a standalone way to get mentioned in AI channels.

Do not position schema as a standalone LLM visibility solution; pair structured data with visible, useful content.


Ubersuggest may allow limited free searches while still exposing keyword ideas with intent, volume, and difficulty if the seed keyword is chosen well.

Uber suggest might only give you one free search per day, but if you're using the right keyword for your search, you can still access hundreds of keyword ideas with data on search intent, search volume, and how difficult they are to rank for, all free.

Consider Ubersuggest as a lightweight/free keyword-idea source, but cross-check with other tools before relying on difficulty/volume.


Businesses can publish DIY content because buyers will find it anyway, and showing the work can help convert some readers.

If you have a business that sells a product or a service, you should teach people how to do it themselves. And I know this sounds counterintuitive. If I teach them how to do it themselves, then they won't hire me. The thing is, when you do it the right way, more people will hire you. So just hear me out...

Create honest DIY content with clear steps, real complexity, and an option to hire or buy when users want help.


The creator claims Google has said the open web is in rapid decline, while search demand remains, implying fewer competitors may be investing in blogs and product pages.

Google just publicly said the open web is in rapid decline. The amount of searchers is not changing. People searching on Google AI tools like ChatGPT or perplexity. The amount of searchers not changing, but Google is saying there is less competition with SEO. If you're doing search engine optimization, there are now less competitors targeting your keywords...

Mark as market-context claim; verify against the cited Google/court-document source before using, and assess whether SEO content gaps are opening in target niches.


The source frames domain authority as influenced by domain age, content quality, social signals, backlinks, directories, guest posting, and digital PR.

So while you're waiting for your social signals to improve and you're publishing more high quality content, there are other things that you can do to build backlinks. Make sure that your website is listed on all the relevant directories. If you're a local business, include local directories in this too. You can also look for guest posting opportunities...

Audit branded profiles, content quality, directory coverage, backlink opportunities, guest posting, and digital PR before changing authority strategy.


Local businesses should include relevant local directories as part of authority and backlink or citation building.

Review niche and location directory coverage, then prioritize crawlable, trustworthy references that are relevant to the business.


Scaled AI-generated content can trigger Google spam actions; the creator cites a case where a site received a `pure spam` violation after AI content scaling.

This is the result of mass AI generated content on a website. It worked and worked and worked, and then it didn't. There's a lot of debate in digital marketing circles. Should you use scaled AI content on your site? Google explicitly says using generative AI to scale content is against its rules. My advice: if you're going to try it, try it on a website that isn't that important to you...

risk/avoid: Do not deploy scaled AI content on important domains without quality controls; if experimenting, isolate test properties and Search Console accounts.


AI Overviews reportedly reduce clicks by 34.5% and mostly trigger on informational keywords, making purchase-intent and conversion-focused pages more resilient and valuable.

Google's AI overviews reduce clicks by 34.5%. Pages that look like this are getting absolutely blasted. This is informational content. 99% of keywords that trigger AI overview are informational. What people don't realize is purchase intent keywords, not informational, have always been better. They convert better. They require less time and money. They get long term success from Google...

Verify statistic/source; review whether target strategy should prioritize commercial/transactional pages over pure informational content where AI Overviews dominate.


For established sites, GSC impressions can reveal real queries where the site already appears but may not yet win clicks.

click to your website and which page they clicked on. But I wanna talk about what I think is the most useful data, and that's something called impressions. Impressions count the number of times your website showed up on Google search results page, whether or not they resulted in a click...

Sort recent GSC queries by impressions, identify relevant high-impression/low-click opportunities, and map each query to a page or section.

Google Search Console / opportunity mining


The source says relevant GSC queries should map to page-level H1/meta title optimization or brief-answer H2 sections.

Classify GSC queries by intent depth, then optimize page-level terms in H1/meta title and section-level terms in H2 or section titles.


People are using cheap press releases to influence AI Overviews, ChatGPT, and Perplexity because these systems may quote or synthesize press-release claims during brand due diligence.

People are gaming AI overviews, ChatGPT and perplexity with press releases. Cheap press releases from AB Newswire: $15 on Fiverr, $80 if you go directly through it. People say whatever they want about their businesses within these press releases. They get picked up why these AI tools synthesize, quoted, and told to curious searchers who are doing due diligence on the brand...

risk/avoid: Treat unsupported press-release manipulation as a reputation and misinformation risk; only consider factual, compliant PR as evidence, not fake claims.


AI Mode query fan-out may shift strategy away from only ranking top three for broad search terms.

re returning an answer. However, like I said before, Google is looking at at least 100 pages, way more than a human would ever look at. And that does significantly change the strategy. In traditional SEO, the entire game is ranking in the top three very short, broad competitive terms like dentist near me. In AI mode, the searches are way more specific and personalised, and Google's looking at hundreds of pages...

Map the pages AI Mode consults for target prompts and review brand coverage across directories, listicles, and publications.


AI Mode visibility may depend on being mentioned and recommended across sources Google consults.

Build a citation inventory for target prompts and compare brand and competitor presence across cited pages.


For seasonal ecommerce SEO, optimize product titles, URLs, descriptions, meta titles, image filenames, and alt text around one buyer-focused keyword per product, starting with best sellers.

If you want more Black Friday and Christmas sales, you need to start your product SEO now. Here's how: pick one buyer focused keyword per product. This should be the product name + some key modifiers. You gonna use this exact formula for your product title and your products URL. This kind of product description isn't gonna cut it, so add the SEOAnt app from Shopify's App Store...

Review for ecommerce checklist: validate keyword mapping per product and ensure generated descriptions/meta are edited for brand fit and usefulness.


LLM visibility tools should run prompts repeatedly in user-facing products and aggregate the exact pages used as sources.

eople might type into a large language model before it recommends you or your competitor. It then needs to run those prompts multiple times across the most popular large language models, and I say multiple times because the results are gonna be different every time...

Use tool-evaluation criteria covering repeated runs, major AI products, direct product results instead of API-only output, and page-level source aggregation.


LLM results vary between runs, so AI visibility tracking should run prompts multiple times rather than relying on a single ranking-style check.

Review for GEO measurement SOP: sample prompts repeatedly and aggregate recommendation/citation frequency instead of treating one output as definitive.


Tools that use model APIs may produce different results from consumer-facing LLM products, so tracking should match the interface users actually query.

If you want to rank in large language models like ChatGPT, you need to be using software to track the sources that ChatGPT is using. I spoke with the product manager of one of these pieces of software yesterday and he says that they currently have 92 competitors, 92 other companies doing the same things they are. Over the last two months, I've looked into about a dozen pieces of software that does this...

Add as a software-selection warning: prefer tools that capture product/UI results or clearly disclose API-vs-product differences.


Posting useful content on high-authority platforms like Medium, LinkedIn, or Reddit can rank for terms a weaker site may not rank for.

I wanna talk about Parasite SEO. We're gonna talk about what it is, when's the right time to use it, and why it's more effective now than it used to be. Parasite SEO is just posting content to a website with more authority than yours in the hopes of ranking for more competitive terms than you would normally be able to rank for...

Use third-party platforms only with platform-compliant, value-first content and clear profile paths; avoid disguised self-promotion or fake recommendations.


Brands are increasing LLM visibility by publishing third-party `Top X` lists that rank themselves first, because LLMs may read and repeat those recommendations.

risk/avoid: Mark manipulative self-ranking listicles as unverified and ethically risky; only pursue transparent, evidence-backed third-party mentions.


AI search traffic may bring visitors who already passed awareness through LLM consultation, so they may arrive at consideration or decision stage instead of top-of-funnel.

ChatGPT has completely changed your customers journey, and if you're not adapting your strategy, you're screwed. Search Engine Land have published this study showing a 527% increase in AI search traffic this year, with the biggest increases seen across the legal, finance, SMBвЂ™s, health and insurance industries...

If AI referral traffic rises, analyze landing pages by journey stage and adapt CTAs/content to consideration/decision-stage visitors.


The creator claims a Google employee said challenging TLDs such as `.xyz` may face slower crawling/indexing and sitemap trust issues.

You remember when those dot XYZ sites were really popular? Google has said they're actually worse for SEO. This was asked on Reddit. An official Google employee responded: domain names on challenging TLDs might find that crawling and indexing is slower. Even sitemaps may struggle to be considered worthwhile. While the Google employee goes on to list other issues that a dot XYZ website might face...

Verify original Reddit/Google source before use; consider TLD risk during domain selection for SEO-dependent projects.


Informational, navigational, commercial, and transactional searches require different content types: guides/resources, indexed brand pages, category/roundup pages, and sales/product pages respectively.

You need to watch this before you do any kind of SEO on your website. There are four different types of searches that people make online, and you target each of these searches and keywords with different types of content. These are known as informational, navigational, commercial, and transactional. Informational searches are when people are looking to learn more about something...

Review as intent-to-page mapping framework for SEO content planning.


The source says Reddit threads are often referenced by LLMs before business recommendations, making relevant brand presence strategically important.

Most small businesses need to be on Reddit at this point, and it looks like it's just gonna become more important going into 2026. For many industries, Reddit is the number one site referenced by large language models like ChatGPT before it recommends a specific business...

Identify Reddit threads cited by AI tools, contribute genuinely useful comments with affiliation disclosure, and avoid spam or disguised promotion.


Reddit lead generation can be operationalized by monitoring relevant new discussions daily or targeting older threads already cited by search engines/LLMs.

I've seen working in regards to your question. And then just provide a lot of value. If your comment truly provides a lot of value to this user, most subreddits will forgive you for mentioning your brand. And if you're doing this 15 minutes a day, you wanna focus on posts that have gone live in the last 24 hours. And you're just hoping that one of these will catch fire...

Test a low-risk workflow: use monitoring tools, prioritize last-24-hour threads for community visibility and older cited threads for LLM visibility, with strict value-first responses.


DOJ/Google case materials allegedly confirm user behavior is a major ranking factor; crawl frequency in Google Search Console may indicate whether Google evaluates pages as useful/popular.

The Department of justice's case against Google finally resolved after 5 years. Even though the court agreed that Google has a monopoly on search, they're not going to break them up. However, as an SEO, that's not why I found this case interesting. You see, this case forced Google to release a bunch of information of how they rank websites...

Verify against DOJ case/Marie Haynes source; test by reviewing crawl stats for pages with declining performance and auditing user usefulness signals.


Instead of informational keywords vulnerable to AI Overviews, brands should target action/use-case keywords such as make, track, create, and generate with dedicated pages.

All of the problems that Google couldn't solve are now being handed over to AI. AI overviews reduce clicks by 34.5%, triggered 99% by informational keywords. Informational keywords are how, what, why, when, where. Instead, target keywords like make, track, create, generate action keywords. Think about every possible use case that your brand or service satisfies. Anything that you can do for customers...

Review `action mapping` as an experiment: list service/product use cases and map each to commercial or purchase-intent pages.


Press releases can be used to newsjack unrelated search demand and may be recombined by AI-generated financial/news sites into misleading Google results.

This guy put out a press release to completely newsjack Semrush's stock drop. He put out a press release on the Associated Press to push down on Google a bad news story about his company. He succeeded, moving the bad news story from position 7 to the second page of Google position 11. But then things went wild...

risk/avoid: Treat newsjacking and misleading press-release tactics as manipulative; only factual PR tied to real events should be considered.

press release newsjacking / AI manipulation


Some local SEOs try to boost Maps rankings by generating driving-directions usage signals with friends/family or many phones, claiming it indicates local demand.

One of the most hilarious local SEO hacks. If you have a local business, whenever you go to it, use the driving directions feature on Google Maps. Get all of your friends and family to go to your business using the driving directions feature on Google Maps. There are even people who travel around with hundreds of phones, all using the driving directions feature on Google Maps to go to a single business...

risk/avoid: Mark as manipulative local SEO tactic; do not recommend artificial directions/signals, but note possible relevance of genuine Maps engagement/demand signals for review.


The clip argues that content meant to get Google traffic should intentionally target search terms in title/H1, meta title, and sometimes URL or first paragraph.

Here are five pieces of SEO advice directly from Google that you should completely ignore. It might seem like Google is the best source of SEO tips. It's their search engine we're trying to rank in, after all. But of course Google doesn't want you to do SEO. They want you to produce good content. So a lot of the advice that they're giving is not the best, and sometimes they're just outright lying...

Evaluate this against helpful-content goals and SERP context; use clear term targeting where useful, but avoid stuffing or user-hostile copy.


The clip recommends adding one or two search terms to a common business name across listings, which is a local SEO policy-risk tactic.

n you can't create content at scale with fairly low effort. Now exactly how to do this would require a full course to explain, but with the right work clothes you can do this fairly reliably. The third one is that you should only use your exact legal business name in direct resistance...

Do not recommend misleading or keyword-stuffed business names; only review legitimate DBA/common-name consistency with policy awareness.


The clip says backlinks still matter and claims careful paid link building can avoid detection; retain this only as link-policy risk context.

Do not recommend paid or manipulative links; focus review on earned PR, partnerships, directories, and other legitimate link opportunities.


Core Web Vitals rarely drive rankings unless technical issues harm real user experience; content and authority usually matter more once the site is fast enough.

shift and largest contentful paint. Google has convinced a lot of S E 0 s that they should hyperfixate on these stats. The truth is, as long as technical issues aren't hurting user experience, they almost never have an impact on ranking. So just make sure your website's loading fast enough to not hurt the experience of actual users, and then just focus on your content and your authority...

Add as prioritization hypothesis: fix UX-harming performance issues, then avoid over-investing in marginal CWV improvements before content/authority work.


Before publishing new pages, the passage recommends auditing live 200 OK URLs for thin, slow, or poorly optimized pages.

This works really well in SEO. Quitting your worst habit will change your life faster than starting your best habit. Stop the leak before you fill the bucket. Before putting up a new page on your website, do this. Get this free tool put in your website, click start. This will show you all of the URLs on your site. Click HTML. Look at only status code 200 status OK...

Run periodic URL inventory and prune or improve weak indexed pages before expanding content production.


Ecommerce SEO should target long-tail commercial or transactional keywords instead of broad generic terms dominated by large brands.

This is one of the biggest SEO mistakes that people make when they're selling products online, but once you fix it, you will start seeing traffic and sales from Google. If you try to rank for a generic broad keyword like hiking boots, you're not gonna rank above these huge brands because of how many searches these keywords get per month...

Prioritize three-word-plus buyer-intent terms with lower difficulty and map them to product or category pages.


Because SEO/GEO has many unknowns and disagreements, credible practitioners should explain why they believe a tactic will help rather than claiming certainty.

I just spent the weekend talking with some of the smartest SEOs I know. These are people I've Learned from for years. One thing you'll find when you get multiple smart, successful SEOs in the same room is they actually disagree on a lot. Now there's probably more that they actually agree on, but it's the things that we disagree on that tend to come up the most...

Use as vendor/evidence evaluation criterion: require rationale, evidence, uncertainty labels, and community/experience basis for recommendations.


The video frames antitrust remedies as requiring Google to make certain search index and user interaction data available.

Google stock jumps 8% after search giant avoids worst case penalties in antitrust case. A federal judge ruled that Google can keep its Chrome browser but will be barred from exclusive contracts. It's hard to explain how big this is. This was last year from Google's major API leak: desire for more clickstream data served as the key motivation for creation of the Chrome browser in 2008...

Treat as market context: monitor confirmed remedy details and privacy constraints before deriving search strategy changes.


For local businesses, a Google Business Profile with address, photos, services, posts, and customer reviews is presented as non-negotiable for local search visibility.

If you're a local business, a Google My Business profile is a non negotiable. This is how you get Google to recommend you in their local search results for free. Add your address, photos, services and posts, and most importantly get every customer to leave a review for the best chances of ranking.

Add to local SEO checklist candidate: verify GBP completeness and review acquisition workflow for each local client.