We check your brand's visibility in AI, analyse your content and show what to improve or write. We prepare changes for your approval and measure again once they are live.
Leave your website address and email. You will get a free audit: a list of the most important problems and tips on what to improve.
The audit checks whether your website is ready for AI systems. The visibility measurement shows whether your brand appears in their answers.
No account and no integration. We will use your email to send the audit and to contact you about it. Details: privacy notice.
We check where your brand appears in AI
Find out which questions AI answers without mentioning your brand, which content is worth improving and what new content to prepare. Review the proposals and decide what to implement.
We check for which customer questions AI mentions your brand, which sources it cites and who appears instead.
We analyse what you already have on your site and order tasks by priority: what to improve and what new content to prepare. For each task we prepare an improvement or a plan and a draft.
Before you approve, you see the current version next to the proposed one. We publish approved changes to existing pages in WordPress and hand over new posts as drafts. Then we measure again.
GEO means preparing content so AI can find it, understand it and cite it in an answer. AI assistants give such answers, and so, more and more often, does Google itself.
That is what pages gained in the GEO experiment after adding source citations. A research finding, not an AutoEcom result or a guarantee.
The researchers added source citations to all pages at once. Answers came from a simulated engine (GPT-3.5), and the sources were the top 5 Google results. In the same experiment, pages ranked first lost 30.3% on average.
The E-GEO study of 13,747 shopping queries shows that the effect of rewriting product descriptions depends on the AI model, and some rewrites lower the ranking. Bagga et al., E-GEO, arXiv v2, 14 July 2026 (opens in a new tab)
The effect depends on the AI system and the type of change. We measure results before and after changes go live to see what works. See how it works.
Four screens: measurement, results, improving articles and new topics.
Visualizations of the screens with demo data. These are not customer results. The application interface is in Polish.
You check whether AI mentions your brand for the questions your customers ask. Every measurement asks the same questions with the same settings, so later results can be compared.
We ask an AI model without search and an assistant with web search. The assistant is an API test, not the ChatGPT app. Google AI Overviews are still being rolled out, and places marked “Nie mierzono” (not measured) have no results.
(open preview)
You see how often AI names your brand, cites your website and recommends it. The trend shows how this changes from one measurement to the next.
Coverage shows how many answers were obtained. Failed requests do not count as a lack of visibility. Changes are given in percentage points and only between comparable measurements. The trend alone does not prove what changed the result.
(open preview)
You see which articles contain contradictions or unsupported claims, or fail to answer the question. You start with the most urgent and prepare a correction. The assessment rates the content, not visibility in AI.
(open preview)
You get article proposals, with a draft, for questions none of your pages answers. Once you approve it, the draft reaches WordPress as a non-public draft.
(open preview)
Nothing reaches your website without your consent.
The audit checks the website itself. You can start with it, or talk straight away about measuring visibility and working on content.
We check whether AI systems can read your website and find up-to-date information about your offer.
The audit does not measure whether AI mentions your brand. That is what the visibility measurement on an agreed set of questions, described above, is for.
The audit checks whether your public website is ready for AI systems: whether the content can be read, whether AI crawlers are blocked, how the information is organised, and whether the site has a title, a description and data describing the company and its offer. You get a list of the most important problems and tips on what to improve. The audit does not measure whether AI mentions your brand. That is what the visibility measurement is for. It is a separate step.
Yes. We scan the public website, record its pages and their content, and then check which pages answer the agreed customer questions and which questions no page answers. The analysis covers only what is publicly available.
Yes. When a measurement shows a question your website does not answer, we propose a new page or post together with a content plan. We also propose topics and questions to track. You approve them before they are measured.
Yes. For an existing page we prepare specific improvements, and for missing content a plan and a draft. Drafts are created with the help of AI from your website and the measurement results, so you always need to review them.
Yes, we publish nothing without it. You see the current content next to the proposed one. You can approve it, request changes or reject it.
Today we publish approved changes to existing pages and posts in WordPress: the title and the content. We do not change the meta title, meta description, page address or images, and we do not publish pages built with page builders. We prepare new posts as drafts for your approval. An approved draft reaches WordPress as a non-public draft, and you publish it yourself. We do not support other systems yet.
We measure answers of OpenAI (GPT family) and Anthropic (Claude) models through their APIs without search, and answers of an OpenAI model through its API with web search. That is an API test, not a result from the ChatGPT app. We never add up or compare results from different measurement places. Measurement of Google AI Overviews is being rolled out. We do not measure Google AI Mode or the ChatGPT app, and Google Gemini is planned. We do not support every model.
Together with you we fix a set of questions your customers ask. In every measurement we ask exactly the same questions, so later results can be compared. We record whether AI mentioned the brand, which sources it cited and which other brands appeared. Failed requests are reported separately and are not counted as a lack of visibility.
The public website is enough for the free audit and for measuring visibility. We need no login and no integration. Access to the system you publish content in is needed only when we are to implement approved changes for you.
No. Nobody can guarantee that, because model providers do not publish how answers are chosen. We improve the quality and accessibility of information about your brand and check the effect with further measurements on the same set of questions. A changed result after a content fix does not by itself prove that the fix caused it.
A product leader with experience building SaaS and AI products. Currently building AI products at Box, previously founder of a tech startup.
LinkedIn
Senior full-stack developer with 8+ years of experience. Specializes in AI and .NET, builds agentic solutions, and runs his own e-commerce store.
LinkedInWrite to us if you want to measure your brand's visibility in AI, improve existing content or prepare new content. You do not have to start with the audit.
After you send it we will reply by email and suggest a short call about the scope. The request triggers no payment and no changes on your website.