AEO tools: a buyer's checklist
The category is young and the marketing has converged faster than the substance. These are the questions that separate tools that measure a real thing from tools that produce a chart.
1. Does it check accuracy, or only mentions?
Ask what happens when the engine mentions you and describes you wrongly. If the tool records that as a positive, it is a share-of-voice tool. That is a legitimate product, but it will not find the answer that is costing you customers.
A tool that measures accuracy needs somewhere to check answers against — a structured record of what is true. If there is no place to enter your hours, services and insurances, it cannot be grading correctness, whatever the dashboard says.
2. How many times does it ask each question?
Engines are non-deterministic. Ask the same question five times and you can get five different answers, some right and some wrong. A tool that asks once and reports the result is reporting a coin flip.
Ask how many repetitions per question, and whether results are aggregated per question before averaging. If one flaky question can swing the headline number, the number is not stable enough to act on.
3. Does it show uncertainty?
Any measurement built on a sample of questions has a margin of error, and with a few dozen questions that margin is wide. A tool that reports "68% accurate" with no interval is hiding the most decision-relevant part of the number.
The practical test: change a fix, and see whether the tool is willing to tell you the change was too small to detect. A tool that always reports a result never reports an honest one.
4. Can it separate your work from the engine changing?
Model updates move these numbers on their own. If a tool claims your fix caused an improvement without measuring a control set of questions it never touched, that claim is unsupported.
Ask directly: what did the control group do over the same window? If there is no control group, every reported win includes an unknown amount of drift.
5. Does it tell you what to change, specifically?
"Improve your content" is not a fix. A useful tool hands you the exact block of structured data, the exact page copy, or the exact listing field to change — derived from your verified facts, not invented — along with what it expects to move and how to undo it.
6. Which engines, and how honestly labelled?
Most tools reach engines through APIs, not the consumer apps. An API with web search enabled is a reasonable proxy for what a consumer sees, but it is not identical, and a tool that labels it simply "ChatGPT" is overstating what it measured. Look for tools that state their access method plainly.
Common questions
What is the difference between an AI visibility tool and an AEO tool?
In practice the terms are used interchangeably. The meaningful distinction is what is measured: whether you were mentioned, or whether what was said about you was accurate.
Can I do AEO without a tool?
You can ask engines questions manually and note the answers, which is a reasonable way to discover whether you have a problem. It does not scale to repeated measurement, and manual spot checks cannot distinguish a real change from normal answer variation.
How often should AEO measurement run?
Often enough to catch a regression, rarely enough to afford it. Fortnightly is a reasonable default for a single location; the cost of asking many questions many times across several engines adds up quickly.
See what engines say about your business
Answerclaim asks the questions your customers ask, checks every claim against your verified record, and shows you which answers are wrong — with the margin of error, and with a control group so you can tell your fixes from the engine changing.
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