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AI visibility & GEO

Your brand cited by AI — not just ranked by Google

ChatGPT, Perplexity, Gemini, Claude, Grok, Mistral, Llama or DeepSeek answer your customers’ questions directly. AudiScale measures whether you are cited, explains why you are not, and applies the eligible GEO optimizations after your approval.

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Example: the same question put to three AI engines; two cite the bakery, the third recommends a competitor.
  • Up to 8 AI engines, chosen within your plan
  • GEO audit and structured data
  • Fixes via WordPress or your AI assistant (MCP)

Measurement

Know if AI engines cite you — and on which queries

At every audit, and every week with weekly monitoring (Pro, Max), AudiScale queries the AI engines in your plan with questions built from your brand, your category and your competitors. It detects whether your brand or your site appears in the generated answers, and which competitors are cited.

The citation report breaks down results by engine and question type (recommendation, your brand, comparison, alternatives). You identify the angles where you are already cited and those where competitors outrank you.

Citation rate by question type

Engines measured by plan

Example

  • Up to 8 AI enginesYou choose the engines measured: 1 with Essentiel, 3 with Pro, all with Max, among ChatGPT, Perplexity, Gemini, Claude, Grok, Mistral, Llama and DeepSeek.
  • Citation rate measuredPercentage of queries where your brand appears, by engine and query category.
  • Competitors in the answersCompetitors cited in the same answers are recorded, and one question compares you with your main competitor.

GEO optimization

The signals AI reads when choosing its sources

Large language models rely on specific signals to decide which sources to cite: domain authority, content freshness, structured data density (schema.org), completeness of answers to concrete questions, presence in reference sources (Wikipedia, Wikidata, trade press).

AudiScale audits each of these GEO (Generative Engine Optimization) signals on your site and produces a prioritized action plan. Structured data and content fixes are applied through WordPress or by your AI assistant (MCP) after your approval, or provided as a snippet to paste.

  1. 01Structured data for AIJSON-LD Organization, FAQPage, Article and HowTo — the schemas that feed generative responses.
  2. 02Question-oriented contentAudiScale identifies common questions in your sector that your site does not yet answer.
  3. 03Authority signalsThird-party mentions, consistent entity information across the open web.
Example: an Organization and FAQPage JSON-LD block added to a page, as a draft, after approval.

Go further

Where this page leads

Frequently asked questions

What people ask us before they start

Another question? Write to us

Does AI visibility replace classic SEO?

No — the two are complementary. Strong technical SEO remains the foundation: AI models tend to cite sources that are well-ranked, fast and structured. GEO adds the signals specific to generative models on top.

How often does AudiScale query AI engines?

At every audit, and every week if the site is enrolled in weekly monitoring (Pro, Max).

Can AudiScale create content to improve AI citations?

AudiScale identifies gaps and generates content suggestions (FAQ, definitions, answer pages) that you approve before publication via your WordPress connector, or by your AI assistant (MCP) for a code-based site.

SachaI ask the AI engines your questions, and tell you who they cite.

Watch it work on your site

Enter your address: the 7-day trial starts, and the first audit runs as soon as you connect.

7-day trial, cancel before you’re charged.Try the free AI scan first, no account needed