AI search and traditional search dynamics
Comparing AI citations and referrals with Google rankings, organic traffic, search-market growth, conversion behavior, and the continued importance of conventional SEO.
32%
Best tweets about AI SEO
50 Best Tweets About AI SEO (2026)
Browse the best tweets about AI SEO, featuring AI-assisted research, content, technical workflows, automation, search changes, experiments, and results.
Practical use of AI in SEO and the impact of AI search on optimization, grounded in workflows, experiments, data, risks, and outcomes.
- Creators
- 37
- Updated
Original Xholic analysis
What 50 top AI SEO posts reveal
The conversation frames AI SEO as an extension of durable SEO: clarify positioning, publish original and citation-ready material, earn credible mentions, and measure business outcomes. It also exposes unresolved questions about AI referral scale and conversion, while practical posts emphasize repeatable research, publishing, refresh, and technical-access workflows.
- Dominant tone
- Positive
- Median score
- 8.52
- Leading format
- Tutorial
- Recent posts
- 32%
46% of posts
All-time engagement
28% of posts
Published in 90 days
Conversation map
The themes creators return to
AI search strategy and SEO fundamentals
Positioning AI optimization as an extension of core SEO, with emphasis on brand positioning, category alignment, topical authority, technical health, and integrated search strategy rather than standalone tactics.
32%
AI visibility measurement and business impact
Benchmarking mentions, citations, prompts, referrals, conversion rates, pipeline, and signups; assessing whether AI-search visibility produces meaningful traffic or commercial outcomes.
30%
Citations, third-party authority, and digital PR
Earning AI recommendations through credible external mentions, backlinks, source-worthy assets, reviews, directories, publisher coverage, and genuine community participation.
28%
AI-assisted SEO workflows and automation
Operational workflows for keyword research, SERP analysis, drafting, publishing, refresh cycles, conversion analysis, content repurposing, and automated quality-review loops.
26%
Citation-ready content structure
Creating direct, well-structured, fresh, verifiable, evidence-rich content that agents can retrieve, understand, quote, and synthesize across fan-out subqueries.
26%
Originality and human-led AI content
Using AI for research, drafting, editing, and maintenance while prioritizing first-hand expertise, differentiation, original research, editorial review, and quality over scaled generic output.
24%
Technical accessibility for crawlers and agents
Ensuring AI systems can access and interpret pages through crawl permissions, server-rendered HTML, structured data, discoverable navigation, and non-JavaScript-dependent product information.
10%
Tone and stance
Sentiment Positive leads
Author posture Supportive leads
Performance benchmark
- Median likes
- 26
- Median reposts
- 3
- Median replies
- 6
- Median views
- 2.6K
Posts with media make up 64% of this collection. Their median all-time score is 9.56, compared with 8.03 for text-only posts.
Format mix
- Tutorial 28% · score 5.55
- Opinion 22% · score 5.39
- Case Study 20% · score 7.80
- Announcement 14% · score 11.1
Consensus and debate
Where creators agree, and where they do not
Shared view
AI optimization starts with core SEO
Several contributors argue that AI visibility depends on positioning, topical authority, technical health, and conventional SEO rather than a standalone tool or gimmick.
Shared view
Originality beats scaled AI output
The prevailing caution is to use AI for research, drafts, and maintenance, while retaining human expertise, proof, editing, and differentiated perspective.
Shared view
Content must be easy to retrieve
Direct answers, clear structure, freshness, evidence, and specific topical coverage are repeatedly presented as useful characteristics for content that systems can understand and cite.
Shared view
External authority remains important
Posts emphasize credible third-party mentions, links, and source-worthy assets, while warning against treating superficial brand promotion in community spaces as a shortcut to recommendations.
Open debate
Do Google rankings predict AI citations?
One post reports that 67% of URLs in AI Overviews also rank in Google’s top 10. In contrast, a 500-keyword, 4,300-prompt test reports that 75% of AI citations went to pages outside Google’s top 10, and a separate experiment reports declining Google visibility alongside rising ChatGPT citations.
Open debate
How valuable is AI referral traffic?
Accounts differ sharply: some describe AI referrals as small but higher converting, whereas another analysis reports under-5% click share and lower conversion rates than organic traffic across its sample.
Open debate
How much AI content can rank?
A study reports that heavily AI-generated pages can rank and be indexed, while other posts contend that generic, scaled output lacks durable value and should not be published raw.
What performs
Patterns behind standout posts
Workflow content earned exceptional response
The highest-scoring outlier promotes a diagnostic AI-search framework. Other outlier posts provide a concrete SaaS content workflow or report an AI-search experiment.
Media posts exceeded the text-post median
Across the dataset, media posts had a 9.56 median all-time score, compared with an 8.03 median for text posts.
Tutorials and case studies offer concrete examples
The dataset includes 14 tutorials and 10 case studies. Examples include a 500-keyword, 4,300-prompt test, a citation-oriented asset reported to have earned six referring domains, and a detailed SaaS content-production and measurement loop.
Statistical standouts
- View standout post 1 Score 252.1 · 29.59× median
- View standout post 2 Score 116.2 · 13.64× median
- View standout post 3 Score 115.7 · 13.58× median
- View standout post 4 Score 87.5 · 10.28× median
- View standout post 5 Score 76.8 · 9.02× median
Creator landscape
Who shapes this conversation
The five most represented creators account for 20% of the selected posts.
-
1. Brodie Clark
@brodieseo
2 posts
-
2. Cody Schneider
@codyschneider
2 posts
-
3. Daniel Foley Carter
@foley_seo
2 posts
-
4. Klaas
@forgebitz
2 posts
-
5. Glenn Gabe
@glenngabe
2 posts
-
6. ILIAS ISM
@illyism
2 posts
Top voices favor operational specificity
Among the named top voices, Cody Schneider details research-to-refresh and conversion workflows, while Brodie Clark discusses implementation use cases including AI-assisted alt-text generation and analysis of generative-AI title-link rewrites.
Contributors caution against AI-search hype
Posts argue that strategy should precede tools, broad claims about AI-search traffic and visibility require scrutiny, and clicks, leads, and conversions should remain part of evaluation.
Technical posts surface agent-access gaps
Technical contributors discuss whether agents can access raw page information and emphasize crawlability, source HTML or rendering, and structured data as considerations for machine readability.
Since the previous snapshot
What changed since Aug 12, 2026
- 76% of the selected posts remained.
- The creator count changed by +3.
- The leading sentiment remained stable.
How this analysis was made
Themes, sentiment, stance, and post format are classified per tweet. All counts, shares, medians, creator concentration, freshness, and performance comparisons are then calculated directly from the published snapshot.
Xholic's all-time score compares engagement while accounting for reach, post age, and creator consistency. It is used for relative comparisons within this collection.
This report analyzes the exact 50-post snapshot shown below. AI identifies editorial categories and drafts explanations; all statistics are calculated from the snapshot, and every narrative claim is checked against cited posts before publication.
Best AI SEO tweets
Top AI SEO tweets from 37 creators
Ranked 01–50
- 01
@gaetano_nyc ·
I’ve spent the last 18 months doing AI SEO / GEO / AEO for B2B SaaS companies... and here's the 10 biggest things I've learned: 1. Most companies do not have an "AEO problem." Most do not have an unfixable technical SEO problem either. They have a positioning, category alignment, and market validation problem. 2. I've spent too many hours in meetings explaining how the old-world SEO model is dying (clicks and rankings) and the new model is about being selected for AI-powered answer recommendations. 3. Brand selection depends on whether the market, your website, your customers, and third-party sources all tell the same story about why your brand belongs in the answer. This is not about llms.txt or paragraph chunking. 4. Bulldozing your way to the top with listicles and backlinks may help you rank, but not get recommended. Especially if your brand doesn't belong in that category. 5. The best AEO strategy starts with positioning and category alignment. Here is the proper diagnostic framework for: “What's our AEO strategy?” Do we have clear product positioning? Do we have messaging that's aligned to the category? Does the website make our category alignment obvious? Do we have a BOFU content strategy aligned with the desired category? Do we have an external authority gap? 6. AI referral traffic is negligible for most B2B SaaS companies. For most of the companies I work with: ChatGPT / Perplexity / Gemini / Claude, etc. is a tiny fraction compared to Google. It's common to see a range of 5% (AI) vs 95% (Google). Why? Because AI SEO eliminates top of funnel, whereas traditional SEO sends mostly informational traffic. 7. Visitor to page conversion rates from AI referral traffic tend to be higher than traditional Google traffic. This is because of personalization, long-tail BOFU intent, and the elimination of TOFU intent. 8. There's a "Dark SEO" funnel emerging where buyers are shortlisting vendor options with AI search, verifying the brands they want to evaluate with Google search, and then converting directly on the website from branded search much later in the buying process. 9. Off-site authority matters, but the GEO vendor claims are getting out of control. I'm skeptical on things like: “90% of AI visibility comes from third-party sources.” etc. Claims like these are confusing and pulled out of context. This causes marketers to have the wrong reactions and think irrationally. 10. Buying AEO tools is not a strategy. I have personally worked with companies that purchased AEO tools with no strategy in-place. The mere fact that a tool was purchased only buys them time with the board... "we're working on it" ... but it's not a real strategy. Bonus: There's a "research" study out there which fits any narrative you want to push. Be wary. And be skeptical.
- 02
@codyschneider ·
stop over complicating SEO for saas just do this bottom of funnel keywords using the data for SEO API keywords like X vs Y product, X alternative, X for Y, how to X for the target keyword, you have this serper .dev API key to scrape lets rank on page one then extract the blog post content from each of these pages using exa AI api or Firecrawl or just an HTTPS request put this researched content into the context window then have them record a 20 to 30 minute transcript of you talking about your category and differentiation and opinions use the extracted, use the research texts and your unique point of view to write the content for the target keyword publish it through your CMS API every 30 days, refresh the article, based on the content gap analysis of page 1 and your live search console data inject call to actions after the first paragraph, 25%, 50%, 75% down the page track which pages are making inbound leads by connecting your Google analytics and looking at landing page vs the lead generation event action let your age and understand with content makes the most signups for you build more content like this
- 03
@Charles_SEO ·
During a recent podcast I did with Edward Sturm, I talked about a super easy link building technique that even beginner AI SEO noobs can do! 🔗 It's building link bait content that is optimized to be sourced up by AIs like ChatGPT. The best type of content for this is usually statistics pages, but you can do history, facts, comparisons, timelines, definitions, glossaries, etc... Here’s the simple, 4 step play 👇 1 - Research pages that journalists + bloggers + AI models constantly need to reference from your niche. 2 - Build a single "source of truth" page (stats, dates, tables, bullet facts etc...) 3 - Format it so an AI can scrape, summarise, and cite it without thinking - Short Q&A style headers with optimized chunks work well too. 4 - Let ChatGPT, Perplexity, Claude, Gemini do the distribution for you, and gain natural RD over time. When AI answers questions, writers (and automated content tools/agents) copy and paste the sources it suggests, those sources turn into natural editorial links. I only wrote the below post in May last year and it already managed to pick up 6 RD worth thousands of dollars with some patience and a couple hours to produce the post. There is an abundance of opportunities here if you are creative enough as well, and that’s the exciting part. This isn’t some fragile loophole or trend that disappears overnight, it’s a structural shift in how information gets discovered and referenced. You will still need to build pages that actually deserve to be cited, but then the links come naturally and compound quietly in the background. This is one of those rare tactics where beginners can win early and experienced SEOs can scale it aggressively. Build once, let AI do the heavy lifting, and enjoy links turning up without you ever asking for them.
- 04
- 05
@EXM7777 ·
i'm tried of gurus selling you bullshit about AI SEO... here's the fastest way to get mentioned in LLMs... and i'm sorry to break it to you... but it's still linkbuilding LLMs are trained on massive text datasets scraped from the internet... which means they "know" your brand based on what high-authority sites say about it if you want ChatGPT or Claude to recommend your product when someone asks "what's the best tool for X?" you need backlinks and mentions from sources the training data respects what LLMs look for: - authority site backlinks (leaders in your industry) - consistent brand mentions in quality content - credible sources linking to your domain your Instagram followers don't matter here... your Reddit posts don't matter that much... what matters is whether trusted publications have written about you so while everyone's trying to "hack AI search"... the answer is the same thing that's worked for 20 years: build real authority, earn real backlinks, get mentioned by real sites - LLMs will pick it up real quick
- 06
@forgebitz ·
want AI content SEO to rank? do not generate endless slop everything you can generate directly using an LLM without unique context is already in the training data => useless and does not rank it's a content black hole; the question has been answered focus on anything not inside the training data; you can get thousands of chatgpt citations without a single backlink or "domain rank" everyone will destroy their website in the coming months with "pSEO" big opportunity for the rest of us
- 07
@glenngabe ·
Heads-up, two new updates from Google in their docs. First, Google just updated it's "Do you need an SEO" page in the documentation with mentions of "Optimizing for generative AI". It now contains guidance advising site owners to check if advice on optimizing for AEO/GEO aligns with its new guidelines. The page also says to make sure any tools you use are aligned with Google's guidance. "If they have advice on optimizing for AI experiences (also known as "AEO" "GEO" services), is their advice aligned with Google Search's official guidance on optimizing for generative AI features?" https://t.co/4GNZ7qoRWe
- 08
@semrush ·
67% of URLs featured in AI Overviews also rank in Google’s top 10 organic results – reinforcing that SEO remains essential. But for AI to use your content, it needs to understand it, trust it, and easily incorporate it into answers. The difference between being featured or overlooked usually comes down to three factors: 1. Structure 2. Freshness 3. How easy your content is to cite Here are 8 steps to try today ⬇️ https://t.co/Mz0Gi0qVSE.
- 09
@neilpatel ·
We didn't guess this. We tested it: 500 keywords, 4,300 prompts, three platforms. The result: 75% of AI citations go to pages outside Google's top ten. Rank four on Google and you have a 2.6% chance of showing up in an AI answer. This isn't an edge case. It's the new normal. If you're not auditing which of your pages are getting pulled into AI answers, you're flying blind right now. #SEO #AISearch #ContentMarketing #SearchStrategy #GEO
Watch video
- 10
@brodieseo ·
SEO News: title link rewrites in Google's search results have been taken to the next level, now being more heavily influenced by generative AI. This was first reported on by @StarFire2258 at The @Verge, who discovered that Google was now completely rewriting the titles using AI that appear in Search, without the influence of the standard influences like previously. The big issue with this approach is that there were instances where the titles for the articles were rewritten, but the meaning of the article was lost in the rewrite or through formatting changes (such as using capitals for every word). As you can see in the example below, the new title for the article is not based on any of the standard elements that have historically influenced title link generation – with @MrDannyGoodwin reminding us of the full list in his @sengineland post in the comments. Based on the text that Google was then showing in search results, it seemed to primarily be a combination of some of the information found within the subheading for the article, with the change being noticeably different. I went ahead and completed some title link analysis in @Ahrefs (they have in-built tools for this outside of Site Audit) and found that the scale of the AI title changes is still minimal, even for some very large sites, but it seems like we're in the early stages of this as a new development within the SEO space. If you're noticing that the title for your page is showing as completely different, and none of the historic sources is influencing the change, you now know what is happening. Keep an eye out for this experiment!
- 11
@thinking_slow ·
Many companies are unwilling to publish AI content for fear Google will punish them. But does Google really punish websites just for using AI content? Or is AI only problematic when it's used to create spammy, scaled content? We set out to answer four questions that might shed some light on the issue: - Are there any fully AI-generated pages in top-ranking positions? - How common is AI-generated content throughout the top 10? - Does Google index content with a very high likelihood of being AI? - Does the organic performance of AI-generated content tank within a few months? Some findings: - Fully AI-written pages can and do rank in top positions: 5.3% of top-ranking (positions 1–3) pages are 100% AI-generated, and 9% are ≥80% AI content. - Every position in the top 10 contains a meaningful share of heavily AI-generated pages: between 8.4% (position 1) and 11.7% (position 10) of pages have ≥80% AI content. - Indexation rate drops from 49.28% for low-AI-content pages to 40.35% for very-high-AI-content pages: lower, but lots of AI content still makes it into the index. - Low and moderate AI-content pages received 2–3x the organic impressions of high or very-high AI-content pages, but those impressions were stable over the period we studied. Tl;dr: I believe that Google is really not against AI content; it is against BAD content, but confusion arises because AI content and bad content overlap a significant amount of the time. Full study out now: https://t.co/wZLgFHiWlW
- 12
@jbobbink ·
I tested what AI agents can actually read on e-commerce sites. The gap between what humans see and what agents see is bigger than most teams realize. Everyone is talking about GEO and AI search optimization. But most of the conversation focuses on content strategy and citation patterns. Almost nobody is talking about the technical layer underneath. And that layer is where most sites are silently failing. When a human visits a product page, everything works. You see pricing, stock status, reviews, size guides, shipping info. You select a variant and the price updates. The experience feels complete because your browser runs JavaScript and renders everything on the fly. AI agents do not get that experience. Most of them cannot execute JavaScript. They read the raw HTML before any client-side rendering happens. And on a growing number of sites, that raw HTML is half-empty. Here is what typically breaks. Search functionality built entirely in JS, so agents cannot discover products the way users do. Product variant selectors where size, color, or flavor options only load after a user interaction, so agents never see the full range or pricing per variant. Review widgets from third parties like Trustpilot or Bazaarvoice that inject ratings client-side. FAQ accordions where answers are hidden until a user interacts. Faceted navigation that filters without changing the URL. Shipping policies rendered inside JS modals. Structured data generated by JavaScript instead of served in the HTML source. Product variations deserve special attention. Many e-commerce platforms handle variants entirely client-side. The default HTML might show a single SKU with a base price, but the full catalog of options and their pricing only appear once a user makes a selection. For an AI agent trying to recommend a product in a specific size or configuration, that information does not exist. The result is that AI agents see a stripped-down version of your site. They miss pricing, reviews, specs, and your full product range. All the information that makes your page useful to a human is invisible to the systems increasingly deciding which brands get recommended. The brands that win in AI-driven discovery will not just have the best content. They will be the ones whose content is actually accessible when a machine reads the page. Server-side rendering, clean HTML fallbacks, and structured data in the source are the foundation of being visible in an AI-first world. If your product information requires JS execution to appear, it does not exist for all AI agents.
- 13
@ViperChill ·
Here's what public companies have said about AI & SEO in the past few days. They're consistent: AI search doesn’t send a ton of traffic, but those visitors convert. If you're going to read / listen to an earnings call in full, Lastminute’s was easily the most interesting to me. Even if you’re not in the travel space, CEO Alessandro Petazzi went into detail on what the future might look like. There's always more to investor updates than I can share here, so please do your own research before making investment or marketing decisions. These are just my (v. simplified) summaries. I love keeping up to date on these things, and I’ll always share them when I can. Thanks for reading! 🤝
- 14
- 15
@codyschneider ·
so many people treat Google ads and organic search and AI SEO as silod things but your Google ads should be influencing your organic strategy entirely if you spend money bidding on keywords and you see that these people sign up or start a free trial or buy the thing from specific keywords that you're bidding on then all of your organic work should be ranking for those keywords in traditional SEO and an AI SEO to analyze which keywords are actually converting connect your Google ads to graphed .com and then ask it which search terms are creating conversions then take those search terms and ask "based on what's ranking on page one organically for these keywords, what type of page should I build for each, should it be landing page, a blog post, and what content should be on it" then go have Claude code build out this media for you build backlinks and build citations as needed
- 16
@brodieseo ·
Image SEO Tip: It is shocking how many eCommerce websites aren't using AI for image alt text generation. This is one of the great use cases for AI, where it can quickly analyze your images and generate a description that is better than what a copywriter could do. Note: I'm still a massive advocate for having a skilled copywriter create content for eCommerce sites. Using them to write image alt text is a very poor use of their time, and AI does a better job anyway. The approach used tends to depend quite heavily on your tech stack, but you'll ideally want to be using an extension of some kind, as there are plenty out there that do a great job of it. For example, if you're a headless Shopify site and using Sanity as the CMS, you will ideally want to use a "sanity recipe" for media library assets, which is a paid add-on on top of an Enterprise plan. This allows you to generate image alt text much more rapidly and at scale once images are uploaded to the site. Though if you don't have an Enterprise plan (many won't), it is still worthwhile using the Sanity AI Assist plugin pictured in this post. The downside of using the Sanity AI Assist is that you will need to click the 'generate product alt text' button, and it requires more manual processing in comparison, but it is still vastly more efficient than without using it. When using Magento, for instance, another extension I've used recently for an eCommerce client is called AltTextLab, and I have had some success with generating alt text at scale for PDP images in a reasonably cost-effective way. The major KPI that I tend to look for when optimising alt text at scale is an uplift in Image Search traffic, which tends to follow closely after widespread implementation, where no image alt text has effectively been used for product images. Do your product images use AI to generate alt text? If not, then you should seriously consider how you can get a plugin or extension up and running, as there are clear accessibility and SEO benefits from doing so.
- 17
@SEOKeval ·
Something no agency wants to tell you about AI SEO: If you just do SEO, you will see more clicks from AI models. We track clicks from AI models in our reporting for brands we work with. And as SEO clicks increase, so do clicks from AI models. Yes, there are specific strategies you can use to further improve your presence in AI models. Seeding Reddit comments and mass-posting listicles on guest posting sites does help. But it's not like you're going to be invisible to AI models if you don't do those things. Traditional SEO is still, at a minimum, half the battle of appearing in AI models. So don't feel like you absolutely have to sign up for that AI SEO package. Or buy that $1,000/month AI SEO tool. You can start with traditional SEO initially. See how results look. And layer in AI optimization down the line if you feel like you need more of a boost. It's not the requirement so many agencies are making it out to be. They're only saying that because it helps their bottom-line.
- 18
@SEOKeval ·
People trying to fully replace SEO with AI are going to fail miserably. And I will laugh at them when they do. AI can do a lot things. But at the end of the day, it's just a tool. And in order for it to successfully "run" your SEO, the person using it needs to be competent at SEO. Like, it's not going to be able to navigate Google algorithm changes on its own. Or fix technical issues. Or build backlinks, which is 90% of what powers SEO. Not to mention, the SEO landscape literally changes every 6 months. Do you really think you can rely on AI to give you the latest strategies to manipulate search engines? Is AI testing and iterating upon strategies? AI-assisted SEO is a very real concept. Having AI fully do your SEO is idiotic.
- 19
@itsolelehmann ·
Study this chart GEO (basically AI SEO) is about to oneshot SEO and most people aren't adjusting accordingly chatgpt alone is handling 2.5 billion queries a day now. (roughly 18% of google's entire search volume btw. it already passed bing) the thing though is that when an AI answers a question, it's not pulling from your website. it's pulling from • reddit threads • medium articles • directories • quora answers • youtube transcripts basically anywhere that already ranks or gets cited in training data so if your entire strategy is "rank my own site," you're optimizing for the wrong surface area a few things i've been learning about geo that actually seem to work: → only optimize for prompts that trigger web search (most don't, so pick your battles) → focus on high commercial intent queries (that's where the money actually moves) → third-party mentions matter more than your own content (someone else saying you're good beats you saying you're good) → answer the question in your first sentence (AI models love pulling clean, direct answers) → freshness signals matter a lot (outdated content gets skipped) → distribute across multiple platforms (reddit, medium, directories, youtube) so you show up in all the places AI is actually scraping the reddit one is kinda interesting. a lot of AI answers are basically just resurfaced reddit threads with better formatting. so having genuine, helpful reddit presence in your niche is weirdly high leverage right now i think most people are going to keep optimizing for google rankings while a growing chunk of their potential audience is just asking chatgpt instead something to keep an eye on at minimum
- 20
@ViperChill ·
Here's what public companies have said about AI & SEO in the past few days. It's nice to report on SEO wins, and that AI traffic continues to convert well. Of course, AI and changing user habits have not been kind to a lot of companies that were reliant on search. Traffic diversification is top of mind for many of them. There also seems to be a lot of genuine excitement around AI as a whole, and not just from SaaS companies, but from eCommerce stores and marketplaces as well. I think there are some much bigger marketing stories to tell there, so look out for some upcoming (free) reports on that topic. I’m hoping to have the first one live in a couple of weeks. As always, there's more to investor updates than I can share in these summaries, so please do your own research before making investment or marketing decisions. Thanks for reading! 🤝
- 21
@jakezward ·
Everyone saying "SEO is dead" and "AI is replacing search" is reading the wrong data. Search engines still pull 81B monthly sessions with no downward trend or sign of decline. AI is at 45B, reaching 56% the size of traditional search worldwide since July 2025. Combined, total search usage is up 26% since ChatGPT launched in 2022. The pie isn't shrinking, it's getting WAY bigger. This is exactly what happened when mobile apps launched. Everyone panicked about the web dying. But instead, total internet usage exploded. The opportunity right now isn't to pick a side between Google and AI, it's to show up on both. More sessions, more searches, more surface area for your brand to show up. There's never been a bigger search market in history than the one we have right now.
- 22
@glenngabe ·
Google just published a study about indirect prompt injection. Important for SEOs and site owners to understand -> Google Says Prompt Injection Moving From Theory Into Real Abuse From @btabke: "This is the AI-era cousin of hidden text, doorway tactics, comment spam, parasite content, and schema abuse. The new wrinkle is that the instruction is not only aimed at a ranking system. It is aimed at the language model or agent that reads the page after retrieval." "Some SEOs will be tempted to test prompt instructions as an AI visibility tactic. That is a short road to a very ugly swamp. The behavior is easy to classify as manipulative because the intent is to override the AI system’s normal summarization or selection process." https://t.co/laUjG55JZy
- 23
@aleyda ·
What AI means for Brands : How to stay visible, relevant and chosen 👇 My presentation from BOUSSIAS Perform Conference in Athens, going through: * How AI is really impacting search as a discovery channel * The implications to our optimization day to day * Practical steps to stay visible, relevant and chosen in answers Check it out: https://t.co/DI03vL3qNq
- 24
@foley_seo ·
Businesses desperate for AI SEO / GEO need a reality check. This isn't funny this is REAL data, and it's not isolated either. LLMS delivered such a miniscule amount of traffic to so many sites that I had to hide GSC clicks from the chart because they make all LLM traffic non-legible to read. 100+ websites, 40 of which are "high traffic" - 100k+ clicks per month: ➜ Aggregated LLM traffic accounted for less than 5% of ALL clicks ➜ chatGPT showed the greatest volume of clicks to websites across all 100+ websites where there was sufficient data ➜ Grok, Copilot and Perplexity showed the lowest traffic throughputs With organic click decline or stability - NONE of the websites had any degree of meaningful compensation from LLM traffic. ➜ Whilst LLM traffic generally accounted for less than 5% of all clicks, conversion rates were significantly poorer averaging 0.2% to 0.5% compared to organic's average of 2.75% ➜ 15 of the 100 websites showed sustained LLM click growth but, this dropped off recently suggest chatGPT has reduced link prominence or that the ads on free tier are now impacting click throughput further I'm still dumbfounded how much HYPE and INVESTMENT has gone into LLM prompt tracking and OVERALL VISIBILITY scores when the GA4 data suggests otherwise.......... That's NOT to say that AI/LLM traffic sources aren't emerging, but, the heavy shifts we see in "SEO focus" towards "LLM focus" just isn't warranted that much at this point. I am PRO getting to a party early, so I'm not downplaying AI citations being important, but I think a lot of people are sacraficing budget and effort on SEO to chase "the shiny thing" because it's new. Sales, conversions and clicks would suggest otherwise............
- 25
@neilpatel ·
Bots now drive more traffic than humans for the first time. AI agents don't browse. They extract. Structured data. Third-party mentions. Citations from sources they already trust. Ranking on Google isn't enough if the agent handling your customer's search has never heard of you. #SEO #AISearch #ContentStrategy #DigitalMarketing
Watch video
- 26
@natmiletic ·
Thinking about hiring an agency vs. automating SEO with AI? Here's what AI can do: • Write drafts • Suggest keywords • Speed up research Here's what it can't do: • Understand your actual customers • Build real relationships for links • Pivot strategy when needed Tools amplify talent. They don't replace it.
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@TheCoolestCool ·
If you believe AI has made SEO irrelevant, look closer. Google’s AI systems use search logs, human rater data and top ranking results to generate answers. And top ranking results are influenced, in part, by click signals. That means user behavior still feeds the machine. The data points exposed in the API leak point to five core signals: Impressions Clicks Bad clicks Good clicks Last longest clicks Google appears to test URLs in different positions, observe how users react and re-rank accordingly. Over months of data, not days. For growth-focused teams, this changes the strategy. Stop obsessing over keyword density. Start engineering better search experiences. Design snippets that match intent. Build pages that keep users engaged. Answer follow-up questions before they are asked. AI did not kill SEO. It made real user satisfaction the center of it. https://t.co/Crgfmft0g2
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@RoundtableSpace ·
STOP PROMPTING AI TO FIX ITS OWN SEO CONTENT, BUILD A LOOP THAT MAKES IT EARN THE PASS INSTEAD A builder model writes the first draft, a separate adversarial judge lists every weakness and the article keeps looping until it scores at least 90%. Then it publishes itself through the Netlify API and saves every round inside an Obsidian memory vault. The website grew from almost zero to 222 clicks a day and one article hit a 92/100 quality score while ranking number one in Google's AI Overview for "best AI community." What used to take an hour of manual review now takes about 5 minutes to set up.
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@hustle_fred ·
crazy how much i learned at "AI Search" event🔥 my favorite insights: 1> AI pulls references from the first 200 chars of your article, keep the intro sharp and short 2> Reddit/YouTube dominate the references, but niche blogs often beat them on position 1. So don't default to Reddit, analyze first 3> listicles are the most powerful content type in AI search, if your app is #1 in a list, AI shows it first > some AI SEO tools use LLM APIs instead of scraping the web interface directly. Issue is API returns less results than users actually see on the web
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@IronBrands16 ·
𝗔𝗜 𝗶𝘀 𝗼𝘂𝗿 𝘀𝗲𝗰𝗼𝗻𝗱 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝘀𝗼𝘂𝗿𝗰𝗲 𝗼𝗳 𝘀𝗶𝗴𝗻𝘂𝗽𝘀 (𝗮𝗻𝗱 𝗴𝗿𝗼𝘄𝗶𝗻𝗴!) 🤯 Here is a chart of last week signups at Simple Analytics: 🤖 AI Search is almost at 50% of Google Search 🧠 More people signed up from ChatGPT than socials or word of mouth 📈 It's been growing week over week 🔍 SEO not dead, but people definitely asking AI tools what to use We haven't focused much on it, but 𝘁𝗵𝗶𝘀 𝗶𝘀 𝘁𝗵𝗲 𝗽𝗹𝗮𝗻: - Use Promptwatch to keep track of mentions and visibility - Optimize for LLM data sources (like Reddit, AI directories) - Add AI-visible schema (structured data) 𝗔𝗜 𝗦𝗲𝗮𝗿𝗰𝗵 𝗶𝘀 𝘁𝗵𝗲 𝗻𝗲𝘄 𝗮𝗰𝗾𝘂𝗶𝘀𝗶𝘁𝗶𝗼𝗻 𝗰𝗵𝗮𝗻𝗻𝗲𝗹 🚀
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@BritneyMuller ·
The AI Search Gold Rush: What's Real vs What's Snake Oil? 🐍 @MiaRSato at The Verge wrote one of the most thorough pieces I've seen on what's actually happening in SEO + AI Search right now. Grateful to have been included. Most coverage hypes up AI or dismisses it. This stays neutral while going deep into research + educating the audience: → Those self-serving "best of" listicles gaming AI results? They're a search information retrieval problem, not an AI one. Google is working to clean them up. → Anyone claiming they can "influence AI" in guaranteed ways is selling you something. The AI and Search companies themselves are still figuring this out, we all are. → Third-party mentions, even without a link, are becoming more influential than ever. Gartner predicts PR + earned media budgets will double by 2027 specifically because of this shift. → Traditional SEO and AI visibility are still correlated. The brands showing up in AI aren't abandoning the basics; they're nailing & expanding upon them. → @randfish makes the powerful point that AI search is getting 10-100x more attention than the actual usage warrants. Traditional search still dominates desktop. @sparkto data also shows Amazon, Bing, and YouTube each drive more search activity than ChatGPT on desktop right now. The full piece is worth your time; Mia also digs into what's actually working for retailers tracking AI visibility, and the OpenAI ads backlash section is wild!! Link below 👇
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@hdxswx ·
The 5 biggest myths about AI search optimization (and what actually works) I've analyzed millions of AI citations across ChatGPT, Perplexity, and Google AI Overviews. Most of what you hear about AI search is either hype or just wrong. Here are the biggest myths I keep seeing: Myth 1: "AEO is completely different from SEO" The truth is more nuanced. AEO builds on SEO fundamentals, but it's not just rebranded SEO. Success is measured by mentions instead of clicks. LLMs break down queries into multiple parallel searches. Responses are highly personalized and probabilistic. (more on this in a separate post) Myth 2: "Flood the internet with AI content" This will destroy you. Mass AI content triggers algorithm penalties, tanks your credibility, and makes you invisible everywhere. AI platforms cite authoritative sources. Spam doesn't scale sustainably. Myth 3: "Optimize for exact AI prompts" AI prompts are personalized and constantly changing. Chasing individual prompts is whack-a-mole. What works: Build topical authority around core themes. Myth 4: "Create separate content for AI vs. humans" Don't write for bots. Don't create scaled-down AI versions. The best content serves both by being clear, authoritative, and well-structured. Myth 5: "llms.txt is the secret" Lumen's data: Millions of citations tracked. Zero llms.txt references. It sounds technical, so it sells well. But there's no evidence it works If your AEO strategy sounds easy, scalable, and fully automated, it’s probably wrong. What is the craziest AEO take you have come across in the wild?
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@heygentlewhale ·
We started using @claudeai last week to support our SEO efforts for @Bubioai, and the growth so far has been quite impressive. Our page views increased by 300% in 1 week. Lets see how things develop over the next few weeks. If the results continue, I may share some of the key lessons we learn along the way, doing SEO with AI. One thing that surprised me is that traditional Google search is no longer the most important factor. It is increasingly important to optimise your site for AI discovery.
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@spaceship ·
WordPress sites are feeling the AI shift. From our WordCamp observations, AI is getting good at the mundane parts of WordPress – spotting broken links and layout issues, flagging security risks, etc. What it doesn’t replace is product sense and taste. Deciding what to build (and why), keeping voice and UX consistent, protecting data – that’s still a human job. The best results come from a pairing model: let AI draft, generate, and propose; let human specify constraints, review, and accept or roll back. AI can handle the heavy technical tasks, so you can focus on what people do best: creating and innovating. So, what can AI do? ✅Plugin development AI: generate plugin skeletons, add settings pages, write inline documentation, and follow WordPress coding standards. Human: define the spec, choose APIs, enforce coding standards, test, and implement. ✅Site fixes & tuning AI: scans for broken links (404s), missing or weak alt text, slow pages, and messy titles/meta. Suggests redirects, image compression, clearer headings, and flags mobile layout issues. Human: Sets priorities, approves/implements redirects, rewrites alt text in your brand voice, tests changes in staging, and makes sure speed/UX gains don’t break the design. ✅Content & SEO AI: Drafts article outlines and headline options, suggests FAQs and internal links, surfaces fresh keyword ideas, and proposes short meta titles/descriptions. Human: Adds real examples and proofs, ensures accuracy and tone, updates prices/screenshots, decides what to publish, cites sources, and reviews for trust and usefulness. Here are some small steps for getting started: ▪️Test free and popular AI-powered plugins by simply installing them from the plugin repository and giving them a try. ▪️Subscribe to a newsletter that focuses on emerging AI technologies and how to use them, such as Mindstream and The Neuron. ▪️Explore how AI can power your overall business strategy. AI can definitely speed up the work, but your product sense is what keeps it worth shipping 🚀
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@illyism ·
👀 how I debugged a tiny but painful AI SEO Tracker extraction bug today: 1. found a weird real example the app counted source/company names as “brand mentions” even when the prompt asked for one person (@nic_amadio) 2. turned the bug into an LLM eval / benchmark made a fixture from the actual AI answers across Perplexity, Gemini, Copilot, AI Overview, and ChatGPT 3. wrote the expected output for each answer: - expected mention - false positives to reject - extracted result - pass/fail 4. tested multiple models not to blindly "upgrade the model", but to see whether the failure was model quality or prompt design, openrouter helps here 5. wrote results to markdown so every run produced a readable artifact that is commited to git so we can easily compare before/after: - summary table - cost/time - exact extracted mentions - failures by provider 6. compared before/after ask your AI agent to rewrite the markdown 7. cleaned up and shipped lesson: don’t just vibe-fix LLM behavior turn the weird case into a small eval, make the output inspectable, and keep the benchmark in the repo it is a new kind of unit test, but for LLMs when a new model is released, we can know the exact quality / cost and compare!
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@ChrisClickUp ·
I've talked to 30+ marketing leaders in the last 2 months. Almost all of them are making the same mistake with AI content. Here's the pattern: They're using AI to produce MORE content instead of using it to produce BETTER content. The math seems obvious. AI can write 10 blog posts in the time it took to write 1. So they 10x their output. More posts. More social. More emails. More everything. Then 3 months later they check their numbers and nothing moved. Traffic might be up slightly but leads, pipeline, and revenue are flat. Here's why. Google's March 2026 spam update took less than 24 hours to roll out. Previous updates took weeks. They're getting faster and more confident at identifying low-quality AI content. Your 10x blog output is getting indexed and immediately buried. On social, the same thing is happening. Feeds are flooded. Everyone's posting more. But engagement rates are dropping across every platform because the volume of mediocre content is drowning out everything. Here's what the companies getting results with AI are actually doing: - Using AI for research and first drafts, then spending MORE human time on editing, not less - Cutting their content calendar in half but making every piece 3x more thorough - Using AI to repurpose one great piece into 15 formats instead of creating 15 separate pieces - Running AI-generated drafts through their best writer, not publishing them raw The winning strategy isn't AI + volume. It's AI + taste. Use the speed to go deeper on fewer things, not wider on more things. One genuinely useful, deeply researched piece of content will outperform 20 AI-generated articles every single time. The math on that hasn't changed and it won't.
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@jbobbink ·
Testing content based tests for AI and agent readiness checkers. Hoping to launch it to https://t.co/m95PJInuTX next week! * Content Positioning - Brand differentiation, specificity/proof points, problem-solution framing, social proof, authority signals, positioning density * Content Freshness - Date presence, content age, temporal language, copyright year, version/changelog signals * Information Density - Multiple sub-checks for content depth * Factual Verifiability - Checks for verifiable claims and citations * Content Comprehensiveness - Checks for topic coverage depth * Multimodal Content - Checks for images, video, and other media But first I will share the BAISOM (Bobbinks / Basic AI Search Optimization Model, haha!) model with 7 distinct layers of optimizations tomorrow!
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@JulianGoldieSEO ·
GROK 4.5 JUST BECAME AN AI SEO MACHINE Most people will use it to chat. The smart people will use it to find trending keywords, publish content, and rank before the competition wakes up. The System: → Pull trending topics from X every 24 hours → Spot low-competition keywords before Ahrefs or Search Console catch up → Turn the angle into SEO content, social posts, or video content The Workflow: ✓ Hermes Oracle finds the trend ✓ Grok 4.5 helps create the content ✓ WordPress publishing happens in one click ✓ The video agent turns the same topic into a script, voiceover, B-roll, and finished video Why It Works: → Trending keywords have fresh demand → Competition is still low → Social + website + video gives you multiple ranking assets → Memory Galaxy keeps the content personalized instead of generic AI fluff Most people are using AI SEO backwards. They start with old keyword data. The better play is simple: Find what people are talking about right now. Create the best asset fast. Publish everywhere before the SERPs get crowded.
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@jmoserr ·
AI SEO content has been all the rage in the last 12 months. Yet every single AI case study I've seen shows the same trend.... Traffic explodes fast because you can generate 1000s of pages of content in seconds. Sounds awesome, right? Right...? But in just a matter of months, that traffic comes crashing down. And anyone that has spent more than two years in SEO understands one thing: Recovering a site that has been slammed by Google takes 10x as long as it took to get the traffic in the first place. Sure, this strategy might work for short-term cash grabs in the affiliate marketing space... But if you're a real brand looking to drive qualified leads, sustainably, and grow a real business...don't touch mass generated AI SEO content with a 900 foot pole. Almost anything you do can fool Google for a short period of time. But what happens when they catch on? Your work comes crashing down, and the road to recovery is not guaranteed nor predictable. Most brands wants to become NerdWallet overnight and dominate their space with page 1 rankings. Yet those same folks won't spend years publishing subject matter expert content, day in and day out, while acquiring PR and building links. The biggest key to success in SEO is longevity and consistency. There is rarely a "secret sauce" in SEO. In fact, any tool you use can show exactly what your competitors are doing. - They are researching their market. - They are finding valuable keywords that their target market is searching for. - They are creating great content that actually helps those people. - They are promoting that content to build links, site authority, and brand. And they are doing this for YEARS without stopping! They aren't doing 1 month trials of content and links to see "if it works." 🤦♂️ It works, you just aren't giving it the time it needs. People want NerdWallet success in 3 months...yet NerdWallet has been doing this for 15 years without stopping. If you can't afford to invest in SEO for 6+ months until your SEO program generates enough revenue to double-down, don't invest in SEO yet. 1 month of SEO is flushing cash down the toilet. If you want immediate wins, go pay for every single click and enjoy rising ad costs and endless bidding wars that drive margins to the bottom. If you want sustainable growth, invest in SEO for the long-term, and COMMIT to it.
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@foley_seo ·
So, not a query fan out image - but, a common example of where sub-searches and citations that could be used in query fan out can determine the results returned., In Google's AI Mode, we see known PEOPLE where the links to their name actually link to the source site that cited that person - so you'd be mistaken for thinking that the CLICKABLE SEO CONSULTANTS name would take them to their website and not other SEO providers that have referenced them. So, technically your COMPETITORS could flatter you by including you in a list but ultimately earning the click and even potentially the enquiry! Anyhow - here's what FAN OUT QUERIES are about for those still learning about AI / AI SEO and LLM response generation: Fan-out queries are one of the more important concepts in LLM SEO and a lot of people have not heard of them or do not fully understand how they work. When a user sends a query to an AI like ChatGPT or Perplexity, the llm does not just look for one answer. It often breaks the query down into multiple sub-queries, retrieves information from multiple sources and synthesises a single response. This is called query fan-out. It has significant implications for how you optimise content. Query Fan-Outs in LLMs Definition ➡️ A single user query is automatically expanded into multiple related sub-queries, which are run in parallel before synthesising a combined answer Broader coverage ➡️ Catches relevant information that a single query phrasing might miss due to vocabulary mismatches or ambiguity Perspective diversity ➡️ Different sub queries can approach the same topic from multiple angles, reducing blind spots in retrieval RAG improvement ➡️ Particularly used in Retrieval Augmented Generation to pull more relevant chunks from a vector store before generation HyDE variant ➡️ One approach generates a hypothetical answer first, then uses that to fan out retrieval queries Reduced sensitivity to phrasing ➡️ Since the LLM rephrases the query multiple ways, results are less dependent on how the user happened to word their question Re-ranking input ➡️ The broader result set from fan-out queries gives re-rankers more material to work with, improving final answer quality Cost tradeoff ➡️ More retrieval calls and tokens consumed, so fan-out width is usually tuned to balance quality vs. latency/cost If someone asks an AI "who is the best seo consultant", the system might fan out into sub-queries covering agency reputation, client results, pricing models, comparison of approaches and recent performance. Each sub-query draws from different sources. To get cited across those sub-queries you need content that answers each component. Not a single page that vaguely addresses all of them, but deep, specific, authoritative content at the topic level This is why entity authority and topical depth matter so much in AI SEO. Shallow content that covers a lot of ground loosely does not survive query fan-out. Specific, credible, well-evidenced content does
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@kaleighf ·
When an AI tool generates an answer, it's not reading your 2,000-word blog post start to finish and thinking, "Wow, great intro. Strong brand voice. Love the metaphor in paragraph four." It's scanning. It's looking for the clearest, most direct response to a user's question. And it heavily favors content where: 1. The answer appears early (ideally in the first 1-2 sentences) 2. The information is clearly stated and unambiguous 3. Supporting evidence and context sit underneath, not on top of, the core point This is a big departure from traditional SEO content, which often rewarded keyword integration and word count over structure and clarity. AI retrieval, however, rewards how well you organize information, not just whether you included the right phrases.
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@RandallKanna ·
Reddit is not a place to “do AI SEO.” It's shooting yourself in the foot to be mentioning your brand name in every comment. Instead, use Reddit to find "find the user questions where I can give a useful answer in my category.” That’s how Reddit can become AI mentions. Wrote about it here: https://t.co/kgc4pJFKDy
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@Biemjo ·
entire ai seo workflow, one chat window: > use our @Crowdreply_io mcp > it pulls your prompts, citations, competitors > tells you what to publish based on what's already getting cited > writes the piece > orders the backlink in the same session no dashboard. no guessing what's next
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@connections8 ·
Jack of All Trades, Master of... None" Strike Again. It’s 2026 we have "Full Service Digital Agencies" still trying to wing it with AI SEO. I recently sat down with a major brand that was wondering why their "cutting-edge AI search strategy" was producing... absolutely zero results. The culprit? Their current agency had blocked most LLMs via the CDN or they simply left the default settings on!! That’s right. They were trying to drive visibility in AI search while effectively putting a "No AI Allowed" sign on their front door. It’s like hiring a gourmet chef who forgets to turn on the stove. The Reality Check: The Brand: Not happy at all! The Fix: A few minutes fixing CDN settings. The Lesson: You can’t just "add AI SEO" to your services list like it’s a new flavor of sparkling water. Look, I get it. Being a "Full Service Digital Agency" sounds prestigious. But in a world where AI search evolves every week, you can't be a jack of all trades and a master of none. This is exactly why specialist agencies are winning right now. While the big guys are busy updating their slide decks, the specialists are actually checking the CDN settings.
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