The most common AI SEO mistakes are blocking the crawlers that feed AI answers, burying the answer deep in the page, measuring mentions instead of citations, ignoring the third party pages AI engines trust, and letting cited pages go stale. Each one can keep you out of ChatGPT, Gemini, Perplexity and Google’s AI results while your rankings look healthy.
That’s the frustrating part. None of these show up in a rank tracker. Below are eight mistakes, how to spot each one, and the order to fix them in, so you can fix GEO mistakes without tearing up your content plan.
What Is AI Visibility, and Why Do These Mistakes Hurt It?
AI visibility is how often AI engines mention your brand, cite your pages as sources and describe you favorably. AI SEO mistakes hurt it because AI answers name only a handful of sources. Miss the cut and you’re absent from the whole answer, with no page two to fall back on.
If the practice behind this is new to you, start with our guide to generative engine optimization.
The 8 AI SEO Mistakes (and How to Fix Each One)
Mistake 1: Blocking the crawlers AI engines rely on
AI engines can only cite what they can get. A blanket robots.txt policy, a bot-protection setting on your CDN or a firewall that blocks unauthorized visitors can all prevent ChatGPT’s search crawler, PerplexityBot or Googlebot from getting access.
Watch for the overcorrection too. Blocking an AI company’s training crawler is a separate decision from blocking its search crawler, and OpenAI lists them separately. Block the wrong one and you drop out of ChatGPT search.
Mistake 2: Burying the answer
Models lift passages. If the answer to your H2 is in paragraph six, inside a tab, or in an image, a page that states it plainly in two sentences gets the citation instead.
Mistake 3: Counting mentions and calling it visibility
Mentions and citations are commonly placed together, but they differ greatly from each other. The AI refers to your company only in a mention. On the other hand, citation involves the AI referring to your company as the source. It is only the latter that leads people to your website, so we give it its own line in our reports.
Blend the two and you end up celebrating visibility that never sends a single visitor.
Mistake 4: Treating five engines as one
ChatGPT, Gemini, Perplexity, Google AI Overviews and Google AI Mode pick sources differently. One blended score hides the engine where you’re missing.
| Engine | Median cited DA | What to check first |
|---|---|---|
| ChatGPT | 51 (July 2026, up from 35) | Coverage on established third party sites |
| Perplexity | 39 (July 2026, up from 34) | Fresh, specific pages that answer one question |
| Gemini | 39 | Consistent brand facts across the web |
| Google AI Overviews | 47 | Pages that already rank for the query |
| Google AI Mode | 48 | Coverage of the subtopics a question branches into |
Median domain authority of cited pages. Source: Wellows study of 20.5 million AI citations, 2026
Topics split too. Wellows found a brand’s AI visibility can vary by more than 4.5x across topics in its own niche, and that ChatGPT cited branded domains 11.1 points more than Google across 485,000 citation instances (Wellows analysis).
Mistake 5: Ignoring your shadow reputation
Every brand has a shadow reputation: the description AI engines assemble from the pages they cite. You didn’t write it. It might lean on an old complaint thread, an outdated review or a rival’s comparison page.
Buyers hear that version first, and most teams never look at it.
Mistake 6: Pitching only the biggest publications
Authority is not as important as most teams think. Websites with a DA of 1 to 39 got 47.9% of all mentions and 77% of the sources that were mentioned across 2.37 million mentions had a DA, under 50.
One caveat: ChatGPT’s bar rose sharply in July 2026, so treat this as a moving target.
Mistake 7: Mass producing thin AI content
Publishing hundreds of near identical pages to cover every prompt tends to backfire. Google’s spam policies name scaled content abuse (pages made at scale mainly to rank) whatever tool produced them.
And thin pages give engines nothing worth quoting.
Mistake 8: Letting cited pages go stale
Citations aren’t permanent. In a Wellows study, 44.3% of citations from lower authority websites lasted two months. That’s a difference compared to citations from sites, with a domain authority of 90 and above where 92.0 % survived for two months. The gap shows how much domain strength matters when it comes to keeping citations alive.
Which AI SEO Mistakes Should You Fix First?
Fix what blocks everything first. The crawler access and the measurement process take hours. Decide whether any other work counts. Source outreach and content cleanup take months so start them once you know where the gaps are.
| Mistake | Effort | Fix order |
|---|---|---|
| Blocked crawlers | Hours | 1 |
| Mentions counted as citations | Hours | 2 |
| One score for five engines | Hours | 3 |
| Buried answers | Days | 4 |
| Shadow reputation | Days to weeks | 5 |
| Stale cited pages | Ongoing | 6 |
| Outreach only to big outlets | Weeks | 7 |
| Thin AI content | Weeks to months | 8 |
How to Check Which Mistakes You’re Making
Run a simple AI visibility check: ask the engines what your buyers ask, record who gets cited, then trace the gaps back to one of the eight mistakes. A first pass takes an afternoon.
For a deeper audit, work through our AI search visibility audit checklist.
AI SEO Mistakes Checklist
How Wellows Helps You Find and Fix These Mistakes
Wellows tracks your prompts on a daily basis in ChatGPT, Gemini, Perplexity, Google AI Overviews and Google AI Mode, allowing you to see the majority of these mistakes as specific gaps. It won’t edit your robots.txt for you, but it will alert you to which pages have stopped earning citations and why.
Conclusion
Start with access and measurement this week. Both take hours, and until they’re right you can’t tell whether the content and outreach work is paying off.
Then run the 30 prompt check, match every missing citation to one of the eight mistakes, and fix them in order.
