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Attensira

Reporting The Problem
Is Not Fixing It.

Attensira runs your buyer questions against ChatGPT, Perplexity, Claude and Google AI, reads the answers that left you out, writes the page edit that fixes it, and opens a pull request on your repo. You review and merge. It never merges.

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Search used to give you a position. Ten results, a number next to yours, and a rank you could work toward. Being fifth was worse than being first, but it was still a business.

An AI answer has no position. It is a paragraph that names two or three products and stops. Everything measurable collapses into two questions: did the model write your name, and did it link to your page. Those are the only things Attensira counts, and it stores the answer verbatim so every number reads back to the sentence it came from.

The Old Way

Ten blue links and a rank. Fifth place still earned clicks, and you could watch yourself climb.

The New Way

One paragraph, two or three names. There is no fifth place — you are in the sentence or you are not.

Most teams cannot say whether ChatGPT names them, and the tools that answer that question stop there. Reading the answer is the easy half. The hard half is the edit to the page that changes the answer, and that is the half Attensira does.

What does Attensira do?

Ask The Models, Every Day

Your prompts run against five answer surfaces — ChatGPT, Perplexity, Claude, Gemini and Google AI — at most once per prompt, model and country each day. Competitors you add are scored over the same answers, so comparing costs no extra runs.

Find Out Why You Were Left Out

The stored answers say which domains the models leaned on instead of yours. Third-party sites are the narrow bucket where a citation is genuinely winnable, and your own cited URLs are listed with how often each one is cited.

Open The Pull Request

Each fix arrives on a fresh branch, carries the ‘attensira’ label, and states in the body which page it changes, which finding it answers and why. The agent never merges, never pushes to your default branch and never touches CI config.

Drive It From Your Own Stack

The same work is reachable over an MCP server and a REST API, so Cursor, Claude Code or your own agents can read the numbers and start a run. Open infrastructure, not a closed dashboard.

I founded Attensira after watching a category of tools grow up around a screenshot. They tell you a model did not name you. Then the work — reading why, rewriting the page, getting it merged — lands back on a founder who already has none of that time.

So the product ends in a pull request rather than a chart. It reads the stored answers, writes the edit against the file the page actually comes from, and stops at your review. A tool that changes your site has to earn that, which is why it never merges and never touches CI.

We are early. There are no public customers yet, and the first design partners are being onboarded now. When there are results, they will be published as before-and-after citation counts — cited in four of fourteen answers, then nine — never as a testimonial or a revenue claim.

We're based in Estonia and bootstrapping. Small team, no board, and the founder still takes the demo calls.

Karl-Gustav Kallasmaa

Karl-Gustav Kallasmaa

Founder & CEO, Attensira

FAQ

Questions people ask

Have more questions?

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Attensira is an agent that ships the fix, not a dashboard that reports the problem. It runs the buyer questions you care about against ChatGPT, Perplexity, Claude, Gemini and Google AI on a schedule, stores the verbatim answers, and reads them for whether a model named you or cited a URL on your domain. Then it writes the page edit and opens a pull request against the repository that page lives in. You review and merge it; Attensira never merges.

An AI answer names two or three products, not ten. When someone asks ChatGPT for the best CRM for a five-person team, you are in the sentence or you are not — there is no second page to be on, and no fifth place that still earns clicks. Attensira measures exactly that: the share of runs in which a model named you, and the share in which it cited a URL on your own domain.

B2B SaaS and developer-tool companies, seed to Series A, whose site and docs live in a Git repo — Next.js and MDX, Astro, Docusaurus, Mintlify, Fern. Usually five to fifty people with nobody hired specifically for SEO. If your pages are files in a repository, a pull request is the natural way to change them. If your content lives only in a CMS, Attensira can measure you today but cannot ship the fix for you yet.

There is no rank to climb. A model writes one answer, so only two things exist to measure: a mention, where it named your brand in the text, and a citation, where it attached a URL on your domain. Attensira counts both independently over the same denominator, and buckets every cited domain — your own, a competitor, an AI platform, a reference site, a third party — so you can see which pages the models actually lean on.

We will not quote you an outcome. Attensira is early, has no public customers, and cannot observe whether a mention produced a visit or a signup — there is no identity join between a model’s answer and a later visitor, and anyone claiming that link is inferring it. What we do promise: every rate arrives with the sample size behind it, and every reported change has cleared a two-proportion z-test at 95% significance. Below that bar we say we cannot prove a change, rather than drawing a line that moves on noise.

Sign up at app.attensira.com/signup, add the buyer questions you want to be the answer to, and install the GitHub App on the repositories you want pull requests against. The app asks for three permissions and no more: contents, pull requests, metadata. There is no free tier and no trial — a new workspace picks a plan before the agent runs anything, and you can cancel at any time.

Find out which answers name you

Add the questions your buyers ask. Attensira puts them to the models, stores what came back, and shows you the share of runs that named you — with the sample size beside it.

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