Being visible isn’t enough; you need to be visible accurately. Your founding year may be wrong, your service regions incomplete, or a product you discontinued may still be getting recommended. The only way to find these is to ask systematically.
Once AI has learned something wrong, it repeats it in a way that reaches everyone who asks. By the time you notice, thousands of users have already seen that response.
Founding details, products, regions, certifications, price ranges — the single source of accurate information is defined in the system.
Targeted questions are generated for every fact and asked across six platforms. The responses are matched to the facts one by one.
Every finding is labeled correct, missing, wrong or outdated, and stored together with the sentence that proves it.
A concrete action for every discrepancy: what to add to which page, which schema markup, which external source to update.
We build you the machine-readable layer that AI will read correctly.
After you publish your corrections, the same questions are asked again; we report when the information was updated.
You know from the start what we do at each step and what we deliver.
Verified information about your brand is recorded in structured form.
Targeted questions for every fact are sent to six platforms; the raw responses are stored as evidence.
The fact and the claim are put side by side, and the discrepancies are ordered by importance.
Technical and content corrections are applied, and then the measurement is run again.
That depends on how fast the platform updates its knowledge base. On platforms that search the web, a correction can show up within days; for information baked into model weights, it can take months. That is why we correct the source content and the structured data together.
llms.txt isn’t a universal standard yet and not every platform reads it. On its own it isn’t enough; the real effect comes from properly structured content, schema.org markup and trusted third-party sources. llms.txt complements those.
The 15-30 facts that shape the buying decision are enough for most brands: identity, service scope, geography, pricing logic, proof of capability.
We measure your brand’s mention rate, share of voice, position and cited sources across ChatGPT, Gemini, Perplexity, Claude, Copilot and Grok responses.
We hand you a brief on which question to answer and in which format, so you get cited in AI responses; if you like, we take on the production too.
We run technical SEO, content and authority work on Semrush and Ahrefs data, and bring classic search and AI visibility together in a single dashboard.
Let's map where your brand stands today, free of charge; then we'll talk through what needs to happen.