AI search measurement and outcomes
Measurement of AI-search impact using citations, prompt visibility, referral traffic, conversions, revenue, brand signals, logs, and attribution models beyond clicks and rankings.
30%
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
- 36
- Updated
Original Xholic analysis
What 50 top AI SEO posts reveal
The posts generally frame AI SEO as an extension of established SEO: use AI to support content maintenance and operations, ensure pages and bots can access useful information, and assess impact with visibility and business signals in addition to clicks. Practitioners disagree about how much specialized AEO work is necessary and about the practical risk profile of scaled AI-generated content.
- Dominant tone
- Positive
- Median score
- 9.21
- Leading format
- Opinion
- Recent posts
- 48%
48% of posts
All-time engagement
36% of posts
Published in 90 days
Conversation map
The themes creators return to
AI answer retrieval optimization
Optimizing content for citation and retrieval in AI answers through direct answers, question-led structure, extractable sections, freshness, evidence, topical depth, and query fan-out coverage.
26%
AI-assisted SEO workflows
Using AI to audit, refresh, optimize, and maintain existing pages, including on-page improvements, internal links, metadata, images, and content briefs.
22%
SEO foundations for AI search
The relationship between conventional SEO and AI search: rankings, crawlability, authority, links, and core quality systems remain foundations for AI visibility.
22%
AEO/GEO strategy debate
Debates and guidance on AEO/GEO/AI SEO terminology, official search-engine guidance, and whether specialized AI tactics differ materially from good SEO.
18%
AI content quality and risk
Risks, evidence, and quality controls around scaled AI-generated content; emphasizes originality, human expertise, editing, factual verification, and sustainable performance.
18%
Multichannel brand authority
Building brand/entity visibility beyond owned sites through earned mentions, reviews, Reddit, directories, video, social platforms, and third-party sources.
12%
AI search technical infrastructure
Technical and commerce infrastructure for AI search, including bot access, robots/CDN configuration, structured data, product feeds, indexing, and merchant listings.
6%
Tone and stance
Sentiment Positive leads
Author posture Supportive leads
Performance benchmark
- Median likes
- 31
- Median reposts
- 3
- Median replies
- 7
- Median views
- 2.8K
Posts with media make up 66% of this collection. Their median all-time score is 11.1, compared with 4.12 for text-only posts.
Format mix
- Opinion 36% · score 9.39
- Announcement 28% · score 9.09
- Case Study 12% · score 5.92
- Tutorial 12% · score 7.54
Consensus and debate
Where creators agree, and where they do not
Shared view
SEO foundations remain important
Several posts position established SEO as important for AI visibility. One post quotes Google guidance that generative AI features remain rooted in core ranking and quality systems; others argue that top organic rankings, content structure, freshness, and brand coverage can affect retrieval or citation opportunities.
Shared view
Use AI to support content maintenance
AI is commonly presented as a workflow aid for maintaining existing assets: identifying on-page opportunities, planning or supporting content refreshes, and generating image alt text at scale. The cited refresh example is a self-reported single-page case study, not a general performance benchmark.
Shared view
Measure beyond clicks
Posts recommend measuring AI-search work with more than rankings and sessions. Suggested inputs include representative prompts, citations or visibility, first-party data, log files, conversions, revenue, and brand-influence signals, while recognizing that attribution can be incomplete.
Open debate
How distinct is AI optimization?
One position, citing Google’s guidance, says there are no special AEO hacks beyond established SEO practices. Other posts advocate clearer answer-first formatting, freshness, and extractable structure as ways to improve the likelihood that content is used in AI answers. These are practitioner recommendations rather than controlled causal evidence.
Open debate
How to interpret AI-content risk
The posts present competing interpretations of AI-generated content. One cites research and case examples associating scaled AI-content programs with visibility losses; another study reports that some heavily AI-generated pages rank and remain indexed. A further post cites Google’s position that appropriate AI use is not itself against guidelines, while low-value content is the concern.
Open debate
When to add dedicated AI-search workflows
Some posts recommend beginning with conventional SEO and adding AI-search tactics if needed, while another describes a dedicated AEO workflow. A separate post argues that AI assistance does not replace SEO expertise or strategic judgment.
What performs
Patterns behind standout posts
The top-scoring posts mixed cases, opinions, and guidance updates
The five all-time-score outliers in the dataset were a self-reported AI-guided refresh case study (152.61), a source-page/link-building tactic (115.73), a post on Google’s AI-search guidance and SEO fundamentals (77.72), a critical opinion on AI content (76.25), and a post on updated Google documentation (67.62).
Technical-infrastructure theme had the highest median score
AI-search technical infrastructure was the smallest measured theme—3 tweets, or 6%—but had the highest theme median all-time score at 29.86. Its examples discuss product feeds, bot crawlability, and CDN configuration.
Posts with media had a higher median score
Media appeared in 33 of 50 tweets (66%). Posts with media had a median all-time score of 11.064, compared with 4.119 for text-only posts. This is an observed association in this dataset, not evidence that media caused stronger performance.
Statistical standouts
- View standout post 1 Score 152.6 · 16.57× median
- View standout post 2 Score 115.7 · 12.57× median
- View standout post 3 Score 77.7 · 8.44× median
- View standout post 4 Score 76.3 · 8.28× median
- View standout post 5 Score 67.6 · 7.34× median
Creator landscape
Who shapes this conversation
The five most represented creators account for 20% of the selected posts.
-
1. Aleyda Solis 🕊️
@aleyda
2 posts
-
2. Brodie Clark
@brodieseo
2 posts
-
3. Charles Floate 📈
@Charles_SEO
2 posts
-
4. James Norquay
@connections8
2 posts
-
5. Daniel Foley Carter
@foley_seo
2 posts
-
6. Jake Ward
@jakezward
2 posts
Charles Floate shares refresh and source-page tactics
Charles Floate shared a self-reported AI-guided content-refresh case study and a proposed source-page/link-building approach designed to be useful for AI answers and for writers seeking references.
Brodie Clark covers ecommerce implementation
Brodie Clark’s posts cover ecommerce implementation topics, including Merchant Center product feeds and AI-assisted generation of product-image alt text.
Aleyda Solis addresses access and measurement
Aleyda Solis highlighted checking crawlability for search and AI bots and proposed a measurement approach using logs, conversions, revenue, sentiment, and other first-party signals.
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 36 creators
Ranked 01–50
- 01
@Charles_SEO ·
I've said it for a while but the HIGHEST ROI task in SEO using AI isn't creating new content or links, it's UPDATING content! I updated ONE blog post in February using Claude Cowork. It took me under 30 minutes of actual execution time... That single post went from 17 visits/mo to over 2,000 - An 11,000%+ JUMP!!! And Ahrefs is now valuing the organic traffic at $16,700/month 👀 From an old post on an inactive, barely maintained blog... I haven't even LOGGED INTO that blog regularly in over a year. Here's exactly what I did: - Updated the core review sections with current 2026 pricing and service information - Refreshed and added new images throughout (product screenshots, updated pricing tables, real examples) - Hit every freshness signal possible (Meta date updated, "Updated February 2026" snippet at the top, schema dates refreshed, last modified headers) - Expanded the FAQ section and fixed the FAQ schema based on SERP consensus - Added all the missing entities that competing pages were covering but mine wasn't - Expanded the intro with personalization, first-person experience, and the kind of hook that Google's (ENGLISH) NLP systems recognize as "written by someone who actually knows this topic" Every single one of those changes was PLANNED and REVIEWED by Claude Cowork before I touched anything. I gave Claude the current live page, the top 10 direct ranking competitor pages (other blog posts, not service pages) and the current SERP features via the Ahrefs Connector + custom Skills inside Cowork, with a multi-chain approach - And I had the business context + brand voice guidelines already setup in my project. The strategy and analysis took Claude about 10 minutes. The actual execution (me sitting at my keyboard physically making the edits), took under 20 minutes. 30 minutes of work, at least ten thousand dollars in monthly traffic value, on a blog I hadn't touched in over a year. The compound effect of freshness, entity completeness, and schema accuracy on an already-established page is insanely underrated right now! A few targeted updates directed by AI analysis outperformed most of the brand new content campaigns I've watched other SEOs run for months. I've got 200+ blog posts on the site from over a decade of writing. If I carried out this same process on just 10% of those posts, that's a six-figure organic traffic value uplift from content that already exists. I'm running the same audit across PressWhizz's blog next week.. I'll report back on the results. Your old content is probably your most underrated asset, and AI just made it 10x easier to extract the value from it. Stop writing new stuff for a week, go update what's already there, and see how much better results you can get!
- 02
@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.
- 03
@tibo_maker ·
Google just officially proved every 'AEO expert' wrong 🤣 they published a guide about optimizing for AI overviews and it confirms what I've been saying for months 🤷🏻 the guide literally says: "the best practices for SEO continue to be relevant because our generative AI features on Google Search are rooted in our core Search ranking and quality systems" no secret "AEO" hacks or tricks, no special AI markup Google even has a mythbusting section where they tell you to ignore: - chunking content for AI - rewriting content just for AI systems - overfocusing on structured data basic SEO worked - still works - and will continue to work ✅ this is exactly what we've been building at Outrank - helping 2,500+ websites rank every day super bullish on it 🚀
- 04
@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
- 05
@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
- 06
@jbobbink ·
I keep hearing SEOs say "but our AI content is ranking fine." That's exactly the problem. Tomek Rudzki from Peec AI just published research that should make every content team pause. They analyzed companies using popular AI content generation tools and found that 36% of the brands in their success stories had massive Google visibility drops. For one tool, it was even worse. 75% of the showcase clients had significant traffic losses. The pattern is always the same. Rank, bank and tank. Publish hundreds of AI articles. Rank quickly. Monetize. Then get hit by a core update or manual action. Abandon domain. Repeat. Google's March 2024 update deindexed 837 sites overnight. Originality AI confirmed 100% of affected pages had AI-generated content. 20 million monthly visits gone. But here's the part most people miss. When Grokipedia lost its Google rankings in early 2026, Peec AI's Malte Landwehr tracked what happened across AI search engines. ChatGPT, AI Mode, and AI Overviews all reduced citations at the exact same time. One Google penalty now makes you invisible everywhere. LLMs use search engines for grounding. If Google demotes you, ChatGPT stops citing you too. Now let me be honest here. I work in industries like casino where rank, bank and tank is a common and accepted tactic. You build a site, extract value, and move on when it gets hit. I'm not going to pretend that doesn't work. In some niches it's simply part of the business model. But here's what bothers me. The companies selling AI content generation tools are marketing them to brands building long-term businesses. SaaS companies. Ecommerce brands. B2B companies. And they're not being transparent about what happens next. Rudzki found that 3 out of 4 major global brands featured on one tool's website had suffered significant visibility losses. These aren't disposable affiliate sites. These are real companies with real reputations. After 30 years in SEO, I see a clear line: Rank, bank and tank as a deliberate strategy with eyes wide open? Fine. That's a business decision. Selling AI content at scale to brands without warning them about the risk? That's irresponsible. The data backs this up. NP Digital tested 744 articles across 68 websites and found human-written content generates 5.44x more traffic over time. Ahrefs analyzed 600,000 pages across 100,000 keywords and found only 4.6% of top-ranking pages are purely AI-generated. And Lily Ray predicts a huge crackdown on scaled AI content in 2026. If you're a tool provider or consultant, be honest with your clients. Tell them what the research actually shows. Let them make an informed decision. Rudzki's advice is simple: before you publish, ask yourself. Would I want to read this? Does it add something you can't get from ChatGPT itself? If the answer is no, don't hit publish. Sources: → Tomek Rudzki, "The real risk of AI-generated content" (Peec AI, Feb 25 2026): https://t.co/GLSCE63W7G → Originality AI, AI content penalty analysis (2024): → Neil Patel / NP Digital, "AI vs Human" study, 744 articles, 68 sites (2024) → Si Quan Ong & Xibeijia Guan / Ahrefs, 600K page analysis (Jul 2025)
- 07
@foley_seo ·
SEO is DEAD. Right, now I've got your attention, I've done something that I hope SEOs find useful, I've put together an article on NavBoost, I've also re-created the entire Google Content Warehouse leak and added "probabilistic weighting". I'm fed up of seeing AI SEO slop polluting my feed, so I thought I'd be speculative and put together some insights that SEOs may find useful. To the GEO bro's out there, pipe down, if you don't rank the probability of being CITED disappears so stick your "intrinsic semantic context paragraph mapping" in the bin - what you SHOULD focus on is: A.) Making your content less shit B.) Making Google see that user behaviour SHOWS your content is less shit C.) Making Google trust your spammy ass domain, drop your DR BS, get real links from sites with traffic, still promoting DR? Do you know what DR is? It stands for "Don't Rank" - that's why buying shit loads of links from artificially inflated domains leads to not ranking thus DR - don't rank. Don't ask me what DA stands for you'd be offended. D.) Making your brand stronger (no, it;s not GEO, it's called links, positive reviews and brand searches) Let's nail this down now. John Mueller HIMSELF said "GOOD SEO is GOOD GEO" Do you know what that means? If your site is GOOD and RANKS more prominently it's: 1. MORE LIKELY to be found during RAG / GROUNDING / QUERY FAN OUT 2. MORE LIKELY to actually achieve an objective i.e. rank, convert, make £ Now, I go back to NAVBOOST because it's always been something I've been fascinated by. WHY? Because for YEARS people called me a conspiracy theorist when I said: "Google is using user behaviour data in ranking" Even Google denied it for YEARSSSSS and guess what? They use it. CHROME is a trojan horse. Click behaviours are ONE OF THE BEST indicators of user satisfcation. So, everything boils back to the CORE PRINCIPLES of: 1. CREATE GOOD CONTENT 2. MEET END USER NEEDS 3. PRESENT IT IN A GOOD UX 4. BUILD TRUST IN YOUR BRAND My Navboost article also includes references to Mark Williams-Cook's 500 unsolicited tips with references to "twidlers" as well as Shai Aharony's Reboot's study on SHARED HOSTING experiment conducted by Oliver Sissons If you want to learn more about NAVBOOST > https://t.co/lVoVF8iYLj and if you fancy checking out the content warehouse rebuild with probabilistic weighting > https://t.co/CWpC57cYVo
- 08
@brodieseo ·
The future of Ecommerce AI SEO is in product feeds. This is the article to read to stay ahead of the trend. I spent many hours learning about and testing in Microsoft's Merchant Center so you don’t have to. There’s a case study in here that has some eye-opening results for free product listings on Bing. Within the article, I compare and contrast Google to Bing’s Merchant Center, showing steps for accessing key reports, importing your feeds, relevant free listing surfaces, and more. Including some details on the introduction of product feeds in ChatGPT, with it being highly likely that they will eventually rely solely on their own product feed integration for free listings. Read here: https://t.co/k61H9j2llX
- 09
@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.
- 10
@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
- 11
@aleyda ·
🚨 Is your content crawlable by all Search & AI bots? You can now quickly validate it for free with the AI & SEO Bot Crawlability Tester from @nikrangerseo 👇 Love the categorization, and how it returns an expanded status regarding: * HTTP Status * Response time * Response header * If it's respecting Robots txt * More. Check it out: bot(.)dejan(.)ai
- 12
@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! 🤝
- 13
@jakezward ·
Is AEO even a thing? Or is it just SEO? Here's how LLMs actually work: An LLM is not a search engine. It's a next-token predictor. It guesses the statistically likely next word based on patterns baked in during training. During that training, it processed billions of web pages. But it didn't log URLs. Didn't store sources. Didn't remember where anything came from. What's left is a frozen statistical snapshot. Not an index or database. So where does real-time retrieval come from? The search engine layer bolted on top via RAG. That's the actual information retrieval part. Because the “base” LLM can't do it alone. Which means there are only two things you can actually influence: 1. Rank in search so retrieval-based AI can cite you. Traditional, boring SEO. 2. Earn third-party coverage so the model already knows you before the prompt is typed. And that's pretty much the whole game. So stop optimising for some vague idea of 'AI.' Optimise for search engines with owned content and build brand authority for earned mentions. Are you actually doing AEO? Or just SEO?
- 14
@codyschneider ·
some of the best content for AI search is best x for y keyword format why AI search fanout queries consume these like it is a religion how to find these fanout queries use data for seo api to find keywords related to your product then put that as prompts in promptwatch to see the fanouts write content for these pages based on what is currently ranking page one include your product in them as well do three hail marys sacrifice a goat and cash in all your karma so it hopefully works
- 15
@Hartdrawss ·
We just built a full AEO pipeline for a US family office. To simply explain; AEO = Answer Engine Optimisation. Instead of ranking on Google, the goal is to get cited inside ChatGPT, Perplexity, Claude and Gemini. Here’s the system we built: - Discovery Layer: Pulled quick-win keywords from Google Search Console (positions 5–20), cross-checked with Keyword Planner, then used Exa + AI to find real questions people are asking AI tools that traditional SEO completely misses - Content Layer: Competitor analysis to find angles others missed → structured briefs → articles written with ICP context + specially formatted Q&A blocks designed for how LLMs cite information → strict 6-dimension quality scoring before publishing. - Indexing Layer: Daily automated publishing with instant cache revalidation so new content is immediately visible to crawlers. - Tracking Layer: Daily GSC sync + dashboard that flags when keywords move, stall, or drop. This is the new SEO. Most agencies are still selling backlinks. What do you think though. is AEO already changing how you think about content?
- 16
@cyrilXBT ·
GOOGLE AI MODE JUST CHANGED SEO FOREVER. It is the new AI-powered Google Search. Default for most queries now. Over a billion people a month. And it does not just read your website. It builds a picture of your brand from everywhere: Reddit. LinkedIn. YouTube. Facebook. Your site. Here is how you actually show up in it: → Pick ONE keyword and own it completely → Publish genuinely useful content across five channels: Website, video, Reddit, LinkedIn, Facebook → Embed the video inside the article on each channel → Keep it consistent so the AI connects every mention to the same entity: you Do this right and you show up in AI Mode, AI Overviews, and Perplexity from one keyword. One honest note: there is no secret setting. The AI rewards real authority, not a spam loop. Build the ecosystem, do not fake it. Bookmark this. Follow @cyrilXBT
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- 17
@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.
- 18
@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.
- 19
@neilpatel ·
Your traffic is down, your rankings look fine, and you have no idea what is actually happening. I have been doing this for 25 years and I can tell you right now, flat traffic in 2026 does not mean your strategy is broken. It might mean it is working better than ever. In this video I break down 5 specific signals that tell you your AI SEO strategy is gaining traction before the revenue numbers confirm it. From rising AI citations and branded search spikes to conversion lift data from inside NP Digital's own client accounts, these are the metrics that actually matter right now. If you are still reading your SEO results through clicks, rankings, and organic sessions alone, you are missing the signals that actually predict where your revenue is going. Watch this and then go check your Google Search Console.
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- 20
@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.
- 21
@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
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@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! 🤝
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@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.
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@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
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@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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@connections8 ·
If I see one more "I replaced my entire SEO agency with 8 prompts" post, I’m going to lose it. 🙃 Let’s be real: The person posting it usually doesn’t work in SEO. They’ve never ranked for a slightly competitive keyword. There is never a long term SEO case study. AI is a helpful tool, not a magic "Rank #1" button. Replacing a team of experts with "AI slop" is a great way to watch your organic traffic pull a vanishing act. 📉 I know as I personally have 30 test websites, where I've been testing heavy with AI for 6+ years. Stick to quality strategy. Leave the magic prompts to the influencers who haven't seen a Search Console dashboard since forever.
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@aleyda ·
🚨 How do you measure AI search optimization success when traffic no longer reflects real impact? I’ll be covering this in my @brightonseo session next month, including: * How to select the right mix of performance and brand influence metrics depending on your business model * How to define topics and representative prompts to measure visibility directionally across AI answers * How to combine first-party data, log file analysis, sentiment, conversions, and revenue signals to estimate impact and guide optimization... even when attribution is incomplete. See you at the Auditorium 2, Brighton Centre on Thu 30 Apr, 2026 at 11:20 AM. 🙌
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@Marie_Haynes ·
Some thoughts on Google's new guidance on ranking in AI Search - including info on Bing's blog post about the purpose of the index changing so as to serve for grounding for AI.
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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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@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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@semrush ·
6 ways to use AI for content optimization ↓ 1. Find on-page SEO opportunities 2. Optimize title tags and meta descriptions 3. Identify related queries and keyword clusters 4. Find internal linking opportunities 5. Analyze search intent 6. Enhance your writing’s readability Discover relevant tools: https://t.co/JN7aZrHYsL.
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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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@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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@kaleighf ·
If you're a marketer who's been tasked with "figure out AI search," I made this video for you. Don't buy a fancy AEO monitoring tool and call it done. Get really clear about whether you're working to drive leads or sales (or both, and *how*, specifically) so you are building with clarity from the start.
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@wpbeginner ·
Most people use AI to write their blog posts. And that's exactly why their website traffic is tanking. Everyone thinks AI is a magic wand. 🪄 You type a prompt, get an article, and hit publish. Wrong. Google doesn't reward generic, robotic text. It rewards helpful, original content. · If you treat AI as an autopilot, you will lose. · If you treat AI as a co-pilot, you will win. After testing dozens of AI blog generators in real-world scenarios, here is the harsh truth. Only a few actually drive ROI. Stop using random free tools. Build a real workflow. Here are the exact tools that deliver results: • Publishing on WordPress? Use All in One SEO (AIOSEO). It generates drafts, formats tables, and optimizes your post right inside the block editor. • Stuck on ideas? Use ChatGPT to build your article outline and brainstorm headlines, not to write your final draft. • Want to rank on search engines? Use Semrush AI Article Generator. It builds content based on actual search data and keyword intent, not just text prediction. Write the prompt. Let the AI do the heavy lifting. Then, edit aggressively. ✅ Add your own stories. ✅ Fact-check the data. ✅ Optimize the on-page SEO. Stop publishing lazy AI content. Start publishing leveraged human content.
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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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@sharyph_ ·
60% of Google Searches End Without a Click That stat changed how I think about content. If people aren't clicking through to your site, where are they getting answers? ChatGPT. Perplexity. Claude. Google's AI Overviews. The shift: → Traditional SEO = optimize for clicks → AEO (AI Engine Optimization) = optimize for being cited I spent years perfecting SEO. Then realized AI systems don't care about meta tags the same way Google does. They care about: → Question-based headings → Clear, direct answers → Semantic structure → Answer capsules after questions If your content isn't structured for AI extraction, you're invisible to the tools people actually use to research. Are you optimizing for 2019's search engines or 2025's AI systems?
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