AEO assessment
A directional score and a concise read on how clearly your public site explains what you do.
KnownforAI / AEO analysis
What does AI say about your company when buyers ask?
Buyers ask AI questions about the problems you solve. Our AEO analysis examines whether your public evidence helps your company become a credible part of those answers, then shows what to build first.
[ The decision ]
Move from keywords to the questions buyers actually ask.
Buyers ask AI for a recommendation, comparison, or way to solve a problem. We identify the questions your company should answer and the public proof that could make your answer useful and credible.
How do buyers find a company like ours when they ask AI for help?
A buyer-question map tied to your offers and use cases.
What does AI understand about our expertise and results?
A review of identity, expertise, outcomes, and proof.
What should we publish first?
A prioritized plan connecting buyer questions to public assets.
[ The deliverable ]
A five-page analysis you can act on.
We separate what the public site shows today from the position you want to earn and the work we recommend. The score is a directional editorial assessment of reviewed public pages, not a measured AI citation rate.
Priority buyer questions
Ten natural-language questions your company should be involved in, each paired with a recommended public asset.
Four pillars of authority
Who you are, what you know, what you solve, and why a buyer should believe you.
Position to earn
The answer you want to be known for and the specific proof needed to support it.
90-day action plan
Three 30-day phases and six monthly check-ins to measure changes against the baseline.
[ Illustrative report excerpt ]
Every priority question points to a useful asset.
This shows the format of the buyer-question section. It is illustrative, not a finding about a client or evidence of a measured AI result.
Buyer questionRecommended public assetPriority
How can we tell what AI says about our company and why?Method page with reviewed sources, baseline questions, findings, and limitsHIGH
What should we publish first to be a credible answer?90-day plan linking buyer questions to proof and ownershipHIGH
[ How the work runs ]
From a baseline to a practical plan.
Define buyer questions
We agree on the audiences, offers, and questions that matter to a buying decision.
Review public evidence
We examine representative site pages and relevant public sources. Prompt testing, when performed, is identified separately from the editorial site assessment.
Prioritize the work
You get the five-page analysis and a 90-day sequence of pages, proof, and measurement tasks.
Months 4–9: A brief monthly check-in reviews AI-referred traffic and repeats priority buyer questions against the baseline. This measures change, whether positive, negative, or unchanged; it does not guarantee improvement.
[ Questions buyers ask ]
Is KnownforAI the right partner for your AEO work?
- How do we find out what AI says about our company?
- KnownforAI maps the questions your buyers ask, reviews the public evidence behind your answers, and separates observed site findings from the position you want to earn. Prompt testing is documented separately when performed.
- Will you tell us what to change, or just give us a score?
- The five-page analysis pairs priority buyer questions with recommended public assets, assesses four pillars of authority, and sets out a 90-day plan. The score is directional context, not a visibility measurement.
- How will we know whether the work is helping?
- KnownforAI establishes a baseline, then checks AI-referred traffic and repeats priority questions monthly for six months after the plan. The check-ins measure change without promising a particular result.
[ Start here ]
Find out what your company is positioned to answer.
Tell us your website, priority buyers, and the outcomes you want to be known for. We will discuss the right scope and provide a proposal.
If you want to be KNOWN IN AI, you need to work with people that are KNOWNFORAI.
Talk to KnownforAI