Visibility Scan
We put five real buyer questions to one engine and send back a one-page snapshot: where you are named, where you are not, and the single biggest gap to close first.
- 5 buyer questions
- 1 AI engine
- 1 page snapshot
Answer Engine Optimization
We check how you show up in ChatGPT, Perplexity, Claude, and Google AI Overviews — then we make you the answer.
Your buyer asks —
best crm tool, 2026?
The AI answers —
ChatGPT Answered
For teams shortlisting in 2026, the same five names carry almost every answer. Velmont01 is the one that goes to buyers who want depth and are willing to configure it.
Pipestrand02 is the usual pick for small revenue teams who want to be running the same afternoon, and it is the name most often given in “lightweight alternative” comparisons.
Torvin03 gets named for pipeline reporting, and Calderwood04 and Rhodemark05 come up whenever the question narrows to forecasting or to support workflows rather than contact management.
For most buyers asking this, the shortlist stops there.
Named in this answer: 5 brands. Yours: —
Named in this answer
Illustrative brands.
Buyers ask ChatGPT and Perplexity before they ever reach your site. The answer they get decides whether you exist.
Why
An AI answer is built from two places: what the model already knows, and what it finds when it goes and searches. You have to be in both. Most brands are in neither, and the two are not fixed the same way.
01 What it already knows
Everything the model absorbed before it met you. If your category page, your comparisons, and the times other people mentioned you were never dense enough, you are simply not in there — and nothing you publish this week changes that answer today.
02 What it finds when it searches
It picks a handful of pages, reads them, and names them. This side moves fast — the right page shape, the right markup, and real mentions on sites the engines trust can put you into a live answer in weeks.
A brand can be in one and missing from the other, and the fix is completely different. We check both and report them apart, so you know which one is costing you.
What changed
The playbook that got you ranked on Google does not get you named inside an answer. Same buyers, different machine, different inputs.
| Dimension | Old rules (SEO) | New rules (AEO) |
|---|---|---|
| Where buyers go | Google search | ChatGPT & AI answers |
| What wins | Keywords | Being named |
| What you publish | Long blogs | Definitions + FAQs |
| Where trust comes from | Backlinks | Reddit / Wikipedia / G2 |
| How long it takes | 3–6 months | 30–90 days |
The work
KnowsFinds
Thirty real buyer questions, put to four AI engines. Every answer is graded 0, 1 or 2 — absent, mentioned in passing, or named outright — for sixty points per engine, and the two sides are scored apart because the fix for each is different.
Finds
Straight definition pages, FAQs marked up so a machine can read them, an llms.txt file, and honest comparison pages — written so an engine can lift one sentence and hand the credit back to your name.
Knows
Real, useful contributions on Reddit, Quora, Hacker News and industry press. This one is slow, and it is the only move that reaches what a model recalls when nobody lets it search.
KnowsFinds
A weekly readout of how often each engine names you, both sides reported apart, so you can watch the gap close instead of taking our word for it.
Proof
A well-known developer-infrastructure brand. Thirty buyer questions put to each engine, every answer graded 0, 1 or 2 — sixty points available per engine, scored exactly the way yours would be.
Overall
43/60
72% · the mean of the four engines
The weakest engine was Google AI Overviews, and the loss sat in one cluster of questions rather than spread evenly. That is what the first fix is aimed at.
Try it
Pick a category and watch the whole thing replay: the answer a buyer gets, the brands it names, and the one it leaves out.
Pick a category.
Your buyer asks —
best crm tool, 2026?
The AI answers —
ChatGPT Answered
For a buyer shortlisting crm tools in 2026, the engine does not hand back a page of links. It hands back a shortlist, and it names the sources it trusted to build it.
Four names carry almost every answer in this category — Velmont01 and Pipestrand02 among them. They are the ones with dense category pages, real mentions elsewhere, and structure the engine can lift a sentence out of.
Everything else is not ranked lower down the page. It is absent from the answer entirely.
Named in this answer: 4 brands. Yours: —
Named in this answer
Illustrative brands, canned demo — not live engine data. The real scan runs your domain against the engines and returns what they actually say.
Someone’s brand is missing from this answer.
Where to start
We put five real buyer questions to one engine and send back a one-page snapshot: where you are named, where you are not, and the single biggest gap to close first.
Most start here
Thirty buyer questions across four engines, both sides scored apart, every answer graded 0, 1 or 2. You get the map of who gets named, the engine-by-engine breakdown, and the fix list in the order worth doing it — walked through on video, not emailed as a PDF.
The audit, then the work: pages built so engines can quote you, real mentions placed where the engines actually look, and a weekly readout of how often each one names you — so you watch the gap close instead of being told it did.
Every engagement starts with the scan. We only propose the deeper work when the scan shows there is a gap worth closing.
Questions
Most work shows movement in how often engines name you within 30 to 90 days. Answer pages and markup can be picked up within weeks; the mentions we seed elsewhere compound over the following months as engines re-crawl their sources.
You can. Most founders find the bottleneck is not knowledge but consistent execution across four engines, thirty questions, and the ongoing work of getting mentioned elsewhere. We handle the systematic part so you keep shipping product.
The work is durable because it is grounded in fundamentals, not tricks. Clear definitions, real third-party authority, and structured content stay valuable regardless of model updates. We track every engine weekly and adjust as behaviour shifts.
Five real buyer questions put to one engine, returned as a one-page snapshot within 24 hours. It shows where you are named, where you are not, and the single biggest gap to close first.
Bootstrapped and early-stage B2B SaaS founders who have a working product and want to be the brand AI recommends in their category. We work best when there is a clear buyer question your product genuinely answers.
Answer Engine Optimization is the practice of getting your brand named inside the answers AI engines generate. Where SEO optimizes for a ranked list of links, AEO optimizes for being named in the single answer a buyer actually reads.
Be the answer.
Thirty minutes from now you could know exactly where you stand.