About
A new company, saying so.
Ansentra is an AI Search Growth company. We are early, we have more method than track record, and we would rather tell you that on the about page than have you work it out in month two.
Why this exists
The category outgrew the service model built for it.
Search marketing was built around a results page: ten links, ten chances, and a whole industry optimising for position. That page is being replaced, for a growing share of queries, by an answer that names three or four companies.
Most agencies responded by adding an AI page to their website. Very few changed what they measure, and almost none changed what they are willing to claim. The gap is not a shortage of tactics — it is a shortage of honest measurement, and everything downstream of measurement depends on it.
So we started from the measurement and built the service around it. The methodology, the metric definitions and the agent architecture in this repository came before the marketing copy, which is an unusual order and, we think, the right one.
How we work
Principles that cost us something.
We never invent data
We will not claim a model mentioned you unless the response is stored and replayable. We will not claim a citation we did not observe. Every figure carries a label saying whether it was observed, verified, inferred or estimated — and demo data on this site is labelled as demo data.
We do not sell guarantees
Nobody controls whether ChatGPT names your company. Anyone promising otherwise is either misunderstanding the system or counting on you not to check.
We report the months that go badly
In the same format, in the same place. An agency with a confident story for every movement is not measuring carefully enough to know when it does not have one.
Nothing goes outside without a human
We automate research, discovery, analysis and drafting aggressively. Every external send, post and publication is approved by a named person, and the approval is recorded.
Where we are
Honest status.
This is a company in its first phase. Here is exactly what that means, so nobody has to guess.
- Positioning and business documentation
- GEO, SEO, content and authority methodologies
- Audit specification and metric definitions
- Agent architecture specifications
- This website, with worked examples
- Automated crawler and technical analysis
- Query generation and execution pipeline
- Mention and citation extraction
- Historical snapshot storage
- Free AI Search Visibility Check
- Client platform and login
- Self-service product
- Published client case studies
Everything currently delivered to a client is delivered by people, using the documented method, with software assisting where it is genuinely ready. The service business is the laboratory: it is how we find out which parts are worth turning into product, rather than guessing and building the wrong thing first.
Trajectory
Service, then productized service, then software.
Every manual task in delivery gets the same four questions asked of it: can this be automated, standardised, measured, and eventually turned into software? The answers accumulate into a roadmap that is grounded in work we have actually done rather than features we imagine customers want.
The long-term asset is not the tooling — tooling gets copied. It is the historical record: a continuous, methodologically consistent measurement of how companies’ AI visibility changed over time. That takes years to accumulate and cannot be back-filled, which is why the snapshot discipline is in place from the first client rather than added when it becomes obviously valuable.
We are not building SaaS yet, deliberately. First the service has to prove that companies will pay for the outcome.
See where you stand in AI search.
An AI Search Audit tells you how often AI systems name your company, who they name instead, and what is causing the gap. Every figure comes with the method behind it.