Answer Engine Optimization, Done as a Service
We are an AEO and SEO agency for mid-market B2B. AI Visibility is whether your company gets named when a buyer asks an AI assistant who does what you do, and that answer usually names three or four companies. We find out whether you are one of them, why not, and what changes it. You get a report a person built and walks you through, not a dashboard and a login.
The Shortlist You Never See
A buyer asks an assistant who builds commerce for manufacturers, or who handles compliance for a company their size. They get a short list and a summary. That exchange never reaches your analytics, never appears as a session, and never shows up as a lost deal.
Nothing in your reporting will tell you it happened. You cannot lose a shortlist you were never on, so the number never moves and nothing looks wrong.
Ranking does not settle it either. A page can sit in the top five organically and appear in none of the generated answers for the same question, because engines assemble answers from sources that state things outright. We have measured that pattern on our own domain.
You cannot fix what nobody measured, and almost nobody is measuring this yet.
Measure It, Explain It, Fix It
Three pieces of work, in order. The measurement comes first because everything after it depends on knowing which of four different problems you actually have.
Citation baseline
We run your real buyer questions across four engines and record who gets cited, how often, and in place of whom. You get the list of sources answering your questions today, and where you sit among them.
Cause analysis
Absence has four causes and they need different fixes: no page on the topic, a page engines cannot parse, a name collision with another company, or a source set you were never part of. We tell you which one you have.
Structure and entity work
Schema, structured answers, and a resolvable identity, so engines can tell who you are and quote you accurately. Most of this is unglamorous and load-bearing.
Content built to be cited
Specific, checkable, numbers-first pages. Engines cite sources that answer the question outright rather than pages that gesture at it.
Baseline, Diagnose, Build, Re-measure
The sequence we ran on ourselves before we sold it to anyone.
Baseline
We agree the questions your buyers actually ask, then run them across the engines and record what comes back. Keyword tools cannot see this, so we do not infer it from them.
Diagnose
We find the reason you are absent, and name which of the four causes it is. The fix is completely different depending on the answer.
Build
Structure, entity work, and the pages that answer the questions directly. Prioritised by which gaps are winnable, not by search volume.
Re-measure
The same battery on a cadence. You see movement or you see none, and either way it is a number rather than a feeling.
What You Get
A number where you had a guess
A baseline you can re-run. You know where you stand before spending anything on changing it.
The reason, not just the score
We name the cause before proposing work, because a name collision and a parsing problem look identical from the outside and need opposite fixes.
Work aimed at what is winnable
Some answer sets are owned by publishers and tool vendors we will not displace, and we say so. We spend where the gap can actually close.
Proof: We Ran It On Ourselves, Then On a Client
We built this because we needed it. Katalor opened its doors in February 2026, so when we scored our own domain across our buyers' questions we were starting from almost nothing, and the result said so: near-zero citation on questions we already rank for organically, and another company holding our name in the answers. On a client's platform we watched the other side of it. When we rebuilt MyWhiteBoards, an OptiMA company, AI crawlers were not reading the old site at all. Within two days of launch, twenty engines were, and AI-referred visits have climbed every month since.
Counted two ways, from server logs and from analytics, which agree within a few percent.
Common Questions
Is generative engine optimization just SEO with a new name?
No, and the difference is measurable. Ranking and being cited are different mechanics. A page can sit in the top five organically and appear in none of the generated answers for the same question. Traditional SEO work helps and does not finish the job. If your organic rankings are already strong and you are absent from AI answers, that gap is the whole reason this service exists.
How do you measure something that happens inside someone else's chat?
We run your buyers' real questions across the engines on a fixed battery and record what comes back: who is cited, how often, and in place of whom. Run it again later and you have a trend. It is sampling rather than a census, and answer sets shift between runs, so we report ranges and repeat the measurement instead of quoting one number as fact.
Do we get a tool or a login?
Neither. We run the measurement and build you a report, and a person walks you through it. We are not a software product and we are not trying to become one. If what you want is a dashboard to check yourself, a tool vendor will serve you better than we will, and we will tell you that on the call.
How long before it moves?
Longer than anyone selling this wants to say. Engines re-crawl and re-weight on their own schedule, and a new page does not enter an answer set the week it ships. Expect the first honest re-measurement at a quarter, and treat a faster promise as a guess.
What does it cost?
The baseline is scoped to how many questions and engines you need, so we do not list a flat price. Start with a Free Evaluation: we run a short battery on your own buyer questions and show you what comes back before you commit to anything. No deck, no obligation.
Find out what the answers say about you.
Start with a Free Evaluation. You see what the engines return today on your own buyer questions, and we tell you whether the gap is worth closing. No deck, no obligation.