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GUIDE

How to choose an AI search
optimization tool: 8 things to compare.

An AI search optimization tool (GEO/LLMO tool) measures whether generative AI names your products and services and cites your site, and helps you fix what is missing. Here are eight things to check when comparing tools, each with a question to ask vendors. This page does not recommend any specific product.

  • Updated:
  • KnownFor editorial team

01

Which AI, down to the model version, is recorded

Why it matters: AI vendors replace their models without notice. With a new model, the same question gets different answers and different cited sites. Without the version on record, you can mistake an AI-side change for the effect of your own work.

AskDo you store the model name the AI reported for every answer? Will you tell us when the model changes?
At KnownForWe record the model name for every answer and tell you first when the model changes. See the observatory report for the Gemini switch on October 10, 2026. See the observatory report →

02

How often it asks, and how it handles answer variance

Why it matters: AI answers change each time you ask, even for the same question. Judging from one run or a handful of questions means reacting to chance.

AskFor each number you report, how many answers from how many runs is it based on?
At KnownForWe run a "market observatory" that asks AI the same questions for each industry every day, as a separate layer from each customer’s scheduled checks. The "market position" on your screens is those answers summarized week by week.

03

Whether it separates "named", "cited as a source" and "how described"

Why it matters: You can be named while the cited source is someone else’s page. Then AI describes you in another company’s words. The three need to be measured separately.

AskCan you report the share of answers that name us and the share that cite our site separately?
At KnownForWe show the naming rate, the citation rate and how you were described separately, and list the other sites that were cited.

04

Whether questions use buyers’ words, without your company name

Why it matters: If the question contains your name, of course your name appears. Buyers ask "What is the best ___?". Whether you appear for that kind of question is whether you get chosen.

AskCan we see the list of questions? Do any of them contain our company or product name?
At KnownForWe ask without your company name, and the report’s appendix shows every question and answer.

05

Whether it shows your position in the market, not just your own numbers

Why it matters: If your numbers fall while the whole market falls, it is not your problem. Unless you look at the difference after removing the category-wide movement, you will pick the wrong action.

AskCan you show our position against other companies in the same category? How do you handle the other companies’ data?
At KnownForWe observe the whole market and show your position within it. Other companies appear only as percentages, never by name.

06

Whether it separates the effect of your actions from AI-side changes

Why it matters: AI answers change even when you change nothing. Unless you compare under the same conditions what changed after the day you fixed something, you cannot tell whether it worked.

AskDo you record the date of each fix and compare before and after with the same questions and the same model?
At KnownForWe line up numbers under the same conditions (model, period, questions) and show what you fixed next to what changed. We do not promise that fixing something will raise your numbers.

07

Whether it checks the site’s foundations (can AI read it?)

Why it matters: If robots.txt blocks AI crawlers or pages carry noindex, no amount of writing will get them cited. Before measuring answers, check that AI can read the site.

AskDo you also check the reading foundations: robots.txt, noindex, structured data, sitemaps?
At KnownForThe site scan checks only rule-based facts (no AI is used, so the result is the same no matter who runs it or how often).

08

Whether it also checks security (gaps visible from outside)

Why it matters: The more AI names you, the more people and machines look at your site. Cyber attackers collect the same externally visible gaps, such as missing anti-spoofing email settings (DMARC) or outdated software versions.

AskDoes it include an external security check of the same site?
At KnownForOne scan checks both how AI sees you and the security gaps visible from outside. It covers only what is visible from outside and does not replace a security assessment.

Comparison checklist

Ask each vendor the same questions and line up the answers.

What to compareWhat to ask the vendor
1. Which AI, down to the model version, is recordedDo you store the model name the AI reported for every answer? Will you tell us when the model changes?
2. How often it asks, and how it handles answer varianceFor each number you report, how many answers from how many runs is it based on?
3. Whether it separates "named", "cited as a source" and "how described"Can you report the share of answers that name us and the share that cite our site separately?
4. Whether questions use buyers’ words, without your company nameCan we see the list of questions? Do any of them contain our company or product name?
5. Whether it shows your position in the market, not just your own numbersCan you show our position against other companies in the same category? How do you handle the other companies’ data?
6. Whether it separates the effect of your actions from AI-side changesDo you record the date of each fix and compare before and after with the same questions and the same model?
7. Whether it checks the site’s foundations (can AI read it?)Do you also check the reading foundations: robots.txt, noindex, structured data, sitemaps?
8. Whether it also checks security (gaps visible from outside)Does it include an external security check of the same site?

FAQ

How is AI search optimization different from SEO?

SEO aims to raise your rank in search results. AI search optimization (GEO/LLMO) aims to get you named and cited inside generative AI answers. The foundation (being readable) is shared, but what you measure differs: rankings versus the content of answers.

Will adding llms.txt get us into AI answers?

AI may or may not read it; it is optional. The reliable way is to check, under the same conditions, whether answers changed before and after you added it.

How soon will we see results?

No timeframe can be promised. AI answers change with model updates even if you change nothing. That is exactly why you should keep measuring and compare what you fixed with what changed.

Start with how AI sees you today.

KnownFor is an AI search optimization tool for businesses that asks AI the same questions for each industry every day and observes the whole market. Check what you get in the sample report (www.knownfor.jp/en/sample/), then sign up right from the screen. Scans are run from the member screens after you sign up.

This page was written by KnownFor (株式会社アーグマックス) as a guide to comparing AI search optimization tools. The "At KnownFor" notes describe KnownFor’s own service.