The GEO method in detail

How GEO console measures your AI visibility

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.

The method, step by step

Six steps to go from a plain domain name to a clear view of your presence in AI-generated answers.

1
Analysis

Analyzing your site and business

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.

  • Offers and positioning — products, services, sector and brand promise.
  • Target audience — the customers who ask AIs about you.
  • Competitors — the brands fighting for the same recommendations as you.
2
Prompts

Generating real customer questions

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.

  • "What's the best tool for…?" — direct recommendation queries.
  • "What are the alternatives to [competitor]?" — the comparisons you must appear in.
  • "Best ___ in [city] / for [use case]?" — local and niche demand.
3
Multi-runs

Querying the assistants, several times

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.

  • 5 engines queried in parallel, each with its own "memory" of your brand.
  • Multiple passes per question to smooth out the randomness inherent to AI.
  • Raw answers kept so every number is traceable back to its source.
4
Extraction

Citations, position and sentiment

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.

  • Citation — is your brand mentioned, and how many times?
  • Position — do you appear first, in the middle, or at the end of the answer?
  • Sentiment — are you recommended positively, neutrally, or with reservations?
5
Share of voice

Aggregating into share of voice vs competitors

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.

  • Share of voice overall and detailed, assistant by assistant.
  • Trends over time to track the effect of your actions.
  • Competitive comparison to see who the AI recommends instead of you.
6
Action

Concrete recommendations

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.

  • Content to produce to answer the questions that don't cite you yet.
  • Pages to strengthen so assistants pick you up more reliably.
  • Prioritization by estimated impact, so you act first where it matters.

Why several runs?

AI assistants are probabilistic: asking a question once measures a lucky shot. Here's why we repeat every query.

Same question, different answers

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.

A frequency, not an anecdote

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.

Reproducible scores

Multi-runs reduce noise and stabilize your metrics. You can then track real changes over time, not the random variability of the models.

Honest data, never fabricated

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.

Real measurements, not estimates

Every citation, position and share of voice comes from answers actually returned by the assistants. We never invent numbers to "fill" a dashboard.

Traceable to the source

Behind every metric we keep the raw answers and the prompts used. You can verify where a score comes from, engine by engine.

Missing data is shown

If an engine hasn't been queried yet or the sample is too small, it's stated plainly — never hidden behind demo data.

See the method applied to your site

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