Answer engine optimization tools: what they actually measure

The short answer: most products calling themselves an "AEO tool" check just one layer of the problem, such as schema markup or an AI Overview, not whether ChatGPT, Claude, Gemini, or Perplexity actually mention you in an answer. Before you pay for one, it's worth knowing which type you're looking at and what it does and doesn't show.

We already covered what AEO and GEO actually mean and how to evaluate an AI visibility tool in general with eight questions. This article zooms in on one specific search term: search for "AEO tools" or "answer engine optimization tools" and you get a mix of products that have little in common beyond the marketing label.

Four kinds of "AEO tool" under one name

Broadly, the results fall into four categories:

1. Structured-data validators: check whether your schema.org markup is technically valid.
2. AI Overview / answer-box trackers: track whether your site appears in Google's AI Overview or a featured snippet.
3. LLM mention tools: ask ChatGPT, Claude, Gemini, or Perplexity questions and log whether your brand shows up in the answer.
4. Voice / snippet trackers: older tooling from the voice-search era, focused on position zero and voice assistants.

A vendor calls their product an "AEO tool" because the term performs well in marketing, not because there's a fixed definition behind it. Here's what each type actually does.

Type 1: structured-data validators

This type checks whether your FAQPage, Product, or Article markup is technically correct, usually built on, or inspired by, Google's own Rich Results Test. Useful for catching markup errors, but with an important limit: Google explicitly says that "structured data isn't required for generative AI search, and there's no special schema.org markup you need to add" (developers.google.com). A green checkmark on your markup says nothing about whether an AI cites you.

Type 2: AI Overview and answer-box trackers

This type tracks Google's own AI features specifically: do you appear in the AI Overview, and for which query. We already covered that in depth, including how to track it yourself for free in Search Console, in how to rank in AI Overviews. The limit here: this only measures Google's own results page, not a separate chat conversation with ChatGPT or Claude. Both matter, but they're two different measurements that aren't interchangeable.

Type 3: LLM mention tools

This type asks a question, or a set of questions, directly to the chat assistants themselves and analyzes the answer for brand mentions. This is the category closest to the actual question behind AEO: are you genuinely mentioned in a generated answer. Quality varies a lot by vendor: some query an own, aging index instead of live answers, or let the question set drift between measurements, so a dropping percentage can be about the questions just as easily as about your visibility. We lay out the questions to ask here in AI visibility tools compared.

Type 4: voice and featured-snippet trackers

This type predates the current AI wave and focuses on classic featured snippets and voice-assistant answers (Siri, Google Assistant). Some vendors simply relabeled their existing snippet tracker as an "AEO tool" without changing the underlying measurement. Not worthless, especially if voice queries matter for your market, but it's a different measurement than chatbot answers.

The problem: a green checkmark doesn't mean you're mentioned

The easiest trap is mistaking a good score on type 1 (structured data) for "AEO is working for me now". That's understandable: a test page full of green checkmarks feels like proof. But the question that actually matters, "does an AI assistant mention my brand in a real answer to a buyer question", can only be answered by type 3. The other three types measure real, useful things, just not that.

Check it yourself, per surface, for free

You can largely rebuild each of the four types yourself for a first read:

• Structured data: paste your URL into Google's Rich Results Test.
• AI Overview: check in Search Console whether your content appears in the AI Overview; which reports show that and what their limits are is covered in detail in how to rank in AI Overviews.
• Chatbot mentions: ask ten to twenty buyer questions yourself, logged out if possible, to ChatGPT, Claude, Gemini, and Perplexity, and note per answer whether and how your brand is mentioned. We describe that method, and when it gets unwieldy, in what is AI visibility and how do you measure it.
• Voice/snippets: ask the same questions to a voice assistant and note which source it reads out.

Summary: what each type does and doesn't show

Type	Measures	Doesn't measure
Structured-data validator	Whether your markup is technically valid	Whether an AI cites or mentions you
AI Overview / answer-box tracker	Appearance in Google's own AI features	Chatbot answers outside Google
LLM mention tool	Brand mentions in real chatbot answers	Technical markup errors
Voice / snippet tracker	Classic featured snippets, voice answers	Whether a language model cites you in a chat

Red flags in an AEO tool

The same red flags as any AI visibility tool (see the full checklist in AI visibility tools compared), but specifically for "AEO tools": a ranking guarantee, an "AEO score" without visibility into which of the four types sits behind it, or a question set that drifts "for representativeness". AI answers are non-deterministic: OpenAI explicitly states that the output from its models is non-deterministic, with the same call able to produce a different result (developers.openai.com). No one can put a guarantee on that.

A practical example

Say a B2B software company buys an "AEO tool" that shows a monthly "AEO score of 74". On closer inspection, that score is based entirely on structured-data checks: FAQPage and Organization markup, all technically correct. A separate experiment with ten buyer questions to ChatGPT and Claude turns up exactly zero brand mentions. Both measurements are correct on their own terms, they just measure different things: the 74 says something about markup, not about whether the company shows up in an answer. This example is illustrative and doesn't represent any specific existing product.

Where GEO-Crafter fits

To be upfront: we're a type 3 tool ourselves, an LLM mention tool. We ask the same buyer questions in parallel to ChatGPT, Gemini, Claude, and Perplexity, with a question set you freeze once you pay, and classify who's a real competitor before we show a percentage. We don't check structured data or AI Overviews; for that, we'd point you to Google's own Rich Results Test and Search Console. No ranking guarantee, no potential score: a coverage percentage on real chatbot answers, repeatable over time. Check out the GEO audit or compare plans on the pricing page.

FAQ

What does an AEO tool actually check? It varies a lot by tool. Some only check whether your schema.org markup is technically valid, others track whether you appear in Google's AI Overview, and others ask ChatGPT or Claude questions and log whether your brand shows up in the answer. Always ask explicitly which of the three it is.

Is a good score on the Rich Results Test enough for AEO? No. Google's Rich Results Test only checks whether your structured data is technically valid, not whether an AI system actually cites you. Google itself says structured data isn't required for generative AI search.

How do I check if ChatGPT or Claude mention my brand, without a tool? Ask ten to twenty buyer questions yourself to the four big assistants, preferably logged out, and note per answer whether and how your brand is mentioned. Repeat it after a few weeks with the same questions to tell a pattern apart from chance.

Can an AEO tool guarantee my site will show up in an answer? No, and a tool that promises that deserves extra skepticism. AI answers are non-deterministic: OpenAI itself says its models' output can vary between calls. An AEO tool can measure and signal, not guarantee.