7 AEO Myths That Are Costing Brands AI Visibility (and What the Platforms Actually Say)
Do you need special schema for AI Overviews? Is llms.txt required? Can you pay ChatGPT for placement? Seven common AEO myths, checked against Google, OpenAI, Amazon and Perplexity documentation.
The most common AEO myths are that AEO replaces SEO, that AI Overviews need special schema or AI text files, that llms.txt is required, that blocking all AI bots has no downside, that you can buy placement in ChatGPT's product results, that longer content wins, and that AI visibility can't be measured. Platform documentation contradicts each one.
- Google says SEO best practices still apply to AI Overviews and AI Mode, with no special requirements.
- Google says you don't need new machine-readable files or special schema to appear in its AI features.
- llms.txt is a proposal, not a requirement; useful for some tools, irrelevant for Google's AI features.
- Blocking AI search crawlers can remove you from AI answers, according to OpenAI, Perplexity and Anthropic.
- OpenAI says ChatGPT product results are not ads, and Google says there's no preferred word count.
On this page
- Myth 1: Is AEO replacing SEO?
- Myth 2: Do AI Overviews need special "AI schema"?
- Myth 3: Is llms.txt required for AI visibility?
- Myth 4: Does blocking all AI bots have no downside?
- Myth 5: Can you pay to be recommended in ChatGPT's product results?
- Myth 6: Does longer content win in AI answers?
- Myth 7: Is AI visibility impossible to measure?
- Bonus myth: Is AI search still too small to matter?
- How do you separate AEO fact from fiction?
- FAQ
AEO is new enough that a lot of advice is guesswork presented as fact. Some of it is harmless. Some of it sends teams down expensive dead ends while the basics go unfixed.
The good news is that the major platforms have published a lot about how their AI features work. Here are seven common myths, checked against what Google, OpenAI, Amazon, Anthropic and Perplexity actually say.
Myth 1: Is AEO replacing SEO?
The myth: "SEO is dead. Stop investing in it and move the budget to AEO."
The reality: Google says the same SEO best practices apply to AI Overviews and AI Mode. To be shown as a supporting link, a page must be indexed and eligible to appear in Search with a snippet. Google even counts AI feature traffic in Search Console's regular Performance report.
Outside Google, AI assistants still need to crawl and understand your pages. AEO is a layer on top of SEO, not a replacement. See SEO vs AEO vs GEO for the full comparison.
Myth 2: Do AI Overviews need special "AI schema"?
The myth: "You need special markup or AI-specific structured data to show up in AI Overviews."
The reality: Google states there are no additional requirements to appear in AI Overviews or AI Mode, and that you don't need to create new machine-readable files, AI text files or markup. Standard structured data is still useful. Google's advice is to make sure it matches the visible text on the page.
Myth 3: Is llms.txt required for AI visibility?
The myth: "If you don't have an llms.txt file, AI can't read your site."
The reality: llms.txt is a proposal: a Markdown file at your site root that gives language models a concise summary and links to key content. It's a reasonable idea, it's cheap to add, and some tools use it. But it isn't a standard that the major engines have committed to, and Google says you don't need new AI text files to appear in its AI features.
Add one if you like; we have one on this site. Just don't treat it as a substitute for crawlable pages and complete product data.
Myth 4: Does blocking all AI bots have no downside?
The myth: "Block every AI crawler. It protects your content and costs you nothing."
The reality: Most vendors separate training crawlers from search crawlers, and blocking search crawlers has a visibility cost:
- OpenAI says sites that opt out of OAI-SearchBot won't be shown in ChatGPT search answers, though they can still appear as navigational links.
- Perplexity recommends allowing PerplexityBot to appear in its search results.
- Anthropic says disabling Claude-SearchBot may reduce your visibility in user search results.
You can opt out of training and stay visible in AI search. Robots.txt for AI crawlers shows how.
Myth 5: Can you pay to be recommended in ChatGPT's product results?
The myth: "AI recommendations are just ads with extra steps. Whoever pays, wins."
The reality: OpenAI says ChatGPT's product results are selected independently and are not ads, nor influenced by OpenAI partnerships. Ads exist in ChatGPT, but they're separate from product results. What does influence results: the shopper's intent and context, structured product metadata such as price and description, and third-party content.
For marketplaces, it's different terrain. Amazon runs a large ads business, but it hasn't published how ads relate to its assistant's answers. Focus on what you control: complete listings and strong reviews.
Myth 6: Does longer content win in AI answers?
The myth: "AI favors long content. Every product page needs 2,000 words."
The reality: Google's helpful content guidance says plainly that there is no preferred word count. What matters is whether content is helpful, reliable and made for people, and Google calls trust the most important part of E-E-A-T.
For product pages, the useful version of "more" is more facts: specs, use cases, compatibility, ingredients and honest comparisons. Padding a page with generic copy doesn't answer the shopper's question any better.
Myth 7: Is AI visibility impossible to measure?
The myth: "AI answers are random. You can't track them, so you can't manage them."
The reality: Answers vary by engine, wording and session, which makes measurement harder, not impossible. The fix is sampling: run a fixed set of real buyer prompts across engines on a schedule, record which products are named and how, and track trends rather than single answers.
“How often does AI mention you vs. competitors for the same query? XENA tracks citation frequency, average ranking position, and share of voice across hundreds of real buyer prompts per product.”
How to Measure AI Visibility walks through the setup step by step.
Bonus myth: Is AI search still too small to matter?
Amazon says Rufus helped over 300 million customers in 2025, and its successor, Alexa for Shopping, now answers questions right in the main Amazon search bar. Gartner predicted in 2024 that traditional search engine volume would drop 25% by 2026 because of AI chatbots and virtual agents. That's a forecast rather than a measurement, but brands waiting for AI search to "get big" are already late.
How do you separate AEO fact from fiction?
When you hear a new AEO tactic, ask three questions:
- Is there a primary source? Platform documentation beats a screenshot on social media.
- Does it help the shopper? Tactics that make your product easier to understand tend to last; tricks tend not to.
- Can you measure it? Test it on a few products, track the result per engine, and keep what works.
Most AEO wins come from unglamorous work: crawlable pages, complete product data, honest answers to real questions, and consistent tracking. Start with What Is AEO? if you're new to the topic.
Frequently asked questions
Is llms.txt worth adding?
It's low-cost and some AI tools read it, so it can be worth adding as a summary of your key pages. But it's a proposed standard, and Google says you don't need new machine-readable files to appear in its AI features. Crawlable, complete pages matter far more.
Does schema markup help with AI search?
Structured data helps engines understand your pages, and Google recommends making sure it matches visible content. What Google rules out is special schema just for AI features. Standard Product, Offer and Organization markup remains good practice.
Does AEO work for small brands?
Yes. AI answers often name products based on how well they fit a specific question, which gives focused brands with clear, complete information a real opening against bigger competitors.
Is AI search big enough to matter yet?
Amazon says its Rufus assistant helped over 300 million customers in 2025, and Gartner predicted in 2024 that traditional search engine volume would drop 25% by 2026. The prediction is a forecast, but the direction is clear.
Find out which of your products AI recommends.
Score a product across ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews with a free SearchPanel audit. Or book a meeting and we'll walk through a live AI Visibility Score with you.
Sources
- Google Search Central: AI features and your website
- Google Search Central: Creating helpful, reliable, people-first content
- llms.txt proposal
- OpenAI Help Center: Shopping with ChatGPT Search
- OpenAI: Overview of OpenAI crawlers
- Perplexity: Perplexity crawlers
- About Amazon: Alexa for Shopping
- Gartner press release, Feb 19, 2024
XENA results quoted in this article are as published by XENA Intelligence on the linked pages. Third-party facts are from the linked official documentation, checked Oct 26, 2026.
