AI Strategy

10 AEO and GEO Myths and Mistakes (and What to Do Instead)

Updated 7 min read

10 AEO and GEO Myths and Mistakes (and What to Do Instead)

The biggest AEO and GEO mistakes are believing that anyone can guarantee citations, treating AI search as a trick instead of a content and trust problem, and dropping SEO fundamentals. What works is dull and dependable: clear answers, accurate structured data, a consistent identity, content with real specifics, crawl access for the bots you want and mentions on trusted sites. Here are ten myths we hear often, with a straight answer to each.

Key takeaways

  • Nobody outside an AI company can guarantee a mention. Treat any such promise as a red flag.
  • AEO and GEO sit on top of SEO. They do not replace it.
  • Volume does not help. Specific, credible, useful pages do.
  • Measure with a fixed question set and analytics, and judge trends, not single answers.

Myth 1: "We can guarantee you will be recommended by ChatGPT"

Reality: No one controls these systems. Answers differ by user, location and time, and the products change. You can raise your chances. You cannot buy a guarantee. If a vendor promises one, ask for contract wording and a refund clause, then expect a nervous silence.

Myth 2: "SEO is dead"

Reality: AI search products rely on crawlable, indexed, trusted pages, and many use conventional search results for retrieval. Technical health, relevance, links and reputation still decide a lot. What has changed is that being the quoted answer matters more than being one link of ten.

Myth 3: "Add schema and you will be cited"

Reality: Schema helps machines understand a page. It does not force a citation, and it cannot rescue vague content. Use it as one layer. See our schema guide.

Myth 4: "llms.txt is the new SEO"

Reality: It is a proposal. Google has said it does not use it, and other providers have not confirmed meaningful use. It can help tools that fetch your docs. It is not a ranking lever. More in our llms.txt explainer.

Myth 5: "Publish 500 AI-written articles"

Reality: A pile of generic text gives AI systems no reason to cite you. It can also drag down overall quality signals. Fewer pages with your own data, process, prices and examples will do more.

Myth 6: "Block all AI bots to protect your content"

Reality: That is a legitimate choice for some publishers, but it removes you from live AI answers, which may be where your customers look. Many businesses want visibility more than protection. Decide deliberately. See our robots.txt guide.

Myth 7: "Keywords stuffed with 'best AI' will rank in AI answers"

Reality: Language models read meaning. Repeating phrases does not help and makes content worse for readers. Write the way customers talk and answer the question.

Myth 8: "You can hide prompts in your page to make AI recommend you"

Reality: Hidden instructions aimed at AI are a manipulation tactic. Platforms are building defences, and it can get your site flagged. If your product is good, make it easy to verify, not impossible to trust.

Myth 9: "One audit and you are done"

Reality: The products change monthly. Competitors publish. Your own facts change. AEO and GEO need a monthly rhythm of checking, fixing and publishing. See how to measure it.

Myth 10: "Only big brands can get cited"

Reality: Large brands have an advantage on generic questions. Small and local businesses can win on specific ones: a city, a niche, a use case, a price band. Questions like "best bookkeeping service for restaurants in Lahore" are open to anyone with a clear page, reviews and consistent facts.

Mistakes we see in real audits

  • Important text only appears after JavaScript runs, so crawlers see an almost empty page.
  • The firewall blocks AI user agents, and no one on the team knew.
  • The About page is vague. No founding date, no location detail, no named people.
  • Service pages are a list of buzzwords with no process, price logic or examples.
  • Different descriptions of the business on the website, LinkedIn and directories.
  • No dates on content that changes, so nobody can tell if it is current.
  • Never testing. Teams argue about theory and have never asked the assistants a single customer question.

What to do instead: a five-point plan

  1. Test first. Run an AI visibility audit to learn where you stand.
  2. Fix access and structure. Make sure the pages can be crawled and read, and add accurate schema.
  3. Rewrite key pages answer-first with your own specifics. See our writing method.
  4. Align your identity across the web, as in entity SEO.
  5. Measure monthly and keep improving.

What the primary sources actually say

Many myths dissolve when you read the vendors' own documentation. These are the key statements, in short:

TopicWhat the documentation says
Google AI featuresA page needs to be indexed and eligible for a snippet. There are no additional technical requirements, no special files and no special schema.
OpenAI searchOAI-SearchBot surfaces sites in ChatGPT search. GPTBot relates to training. Robots.txt updates can take about 24 hours to apply to search.
PerplexityPerplexityBot surfaces sites in Perplexity search and is not used to crawl content for foundation models.
User-initiated fetchesChatGPT-User and Perplexity-User act on a user's request, and robots.txt may not apply to them.

Myth 11: "We can track exact AI share of voice"

Reality: Answers change between runs, accounts and places, and no vendor can see all prompts users actually type. A fixed question set and a sensible trend are honest. Precise-looking "share of voice" numbers deserve questions about their method. See how to measure it.

Red flags when hiring for AEO or GEO

  • A guarantee of citations or of a specific ranking.
  • A "proprietary method" they will not explain.
  • No baseline test before work begins.
  • Bulk AI-written content as the main deliverable.
  • Reports that show only screenshots of single successes.

Good practice looks like the opposite: a documented baseline, a plan with owners and dates, a measurement method you could repeat yourself, and honesty about what is outside their control. Our own AEO and GEO service starts with an audit for that reason.

A ten-minute reality check for your own site

  1. Open your top service page. Does the first paragraph state a fact a stranger could quote?
  2. Search your exact business name. Is the first result yours, and is it accurate?
  3. Open /robots.txt. Are you blocking a crawler you want?
  4. Ask one assistant a customer question. Are you named, correctly?
  5. Check the date on your most important page. Is it current?

Related guides

Frequently asked questions

Is GEO just SEO with a new name?

They overlap a lot, but the goals differ. SEO aims to rank pages. GEO aims to be used and cited inside AI-generated answers, which puts more weight on clarity, specifics, structured facts and corroboration.

How do I spot a bad AEO or GEO agency?

Watch for guarantees, secret methods they will not explain, no measurement plan and bulk AI content as the main deliverable. A good one starts with an audit and shows evidence.

Should small businesses invest in this now?

Start with low-cost basics: accurate profiles, a clear About page, answer-first key pages and reviews. They help SEO too. Add more advanced work as budget allows.

What is the single best first step?

Ask the assistants five questions your customers would ask and write down what happens. It takes 15 minutes and gives you a real starting point.

Which of these myths costs businesses the most?

In our experience the costliest is "one audit and you are done", because it leads to stale facts. The second is accidentally blocking crawlers through a firewall setting nobody checks.

Sources and further reading

Primary documentation and research behind this guide.

If a vendor has promised you guaranteed AI citations, we are happy to give you a second opinion. Book a free call or read how our AEO and GEO service works.

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