From your domain to a share-of-voice score: here's exactly how we turn answers from ChatGPT, Gemini, Claude, Perplexity and Grok into reliable, actionable data — no black box.
Six steps to go from a plain domain name to a clear view of your presence in AI-generated answers.
It all starts with your domain. GEO console crawls your site to understand what you sell, who you serve and which market you operate in. This business context drives the relevance of everything that follows.
AI visibility isn't measured on keywords, but on questions. GEO console writes a set of prompts that mirror how your customers actually talk to an assistant: buying intent, comparisons, recommendations and problems to solve.
Each prompt is sent to ChatGPT, Gemini, Claude, Perplexity and Grok — and not just once. We repeat every query over several passes (multi-runs) to capture the natural variability of the models and get a stable citation frequency, not a one-off result.
Every generated answer is analyzed to extract the signals that matter. We don't just check whether your brand is cited: we measure where it ranks and the tone in which it's described.
The signals from every prompt, engine and pass are consolidated into clear, search-console-style metrics. Most importantly: your share of voice — your real weight against competing brands in AI answers.
Measuring isn't enough: you need to improve. GEO console turns your data into prioritized actions to gain visibility — from content to create to pages to strengthen, including the sources AIs cite about your industry.
AI assistants are probabilistic: asking a question once measures a lucky shot. Here's why we repeat every query.
A generative model can cite your brand in one answer and forget it in the next. A single attempt tells you nothing reliable about your real visibility.
By repeating each prompt, we turn a fragile "yes/no" into a citation rate: do you appear 2 times out of 10, or 8 out of 10? That's the signal you can act on.
Multi-runs reduce noise and stabilize your metrics. You can then track real changes over time, not the random variability of the models.
A visibility metric is only worth something if it's true. Our commitment: only show numbers from real queries, and say so clearly when data is missing.
Every citation, position and share of voice comes from answers actually returned by the assistants. We never invent numbers to "fill" a dashboard.
Behind every metric we keep the raw answers and the prompts used. You can verify where a score comes from, engine by engine.
If an engine hasn't been queried yet or the sample is too small, it's stated plainly — never hidden behind demo data.
Enter your domain and get a first preview of your AI visibility — free, no credit card.
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