Ai Labs Audit
AI Labs Audit is a SaaS platform published by AI Labs Solutions, a French company (SASU) registered in the Ain department. The product addresses a recent problem: how is a brand, product, or company represented in the responses generated by ChatGPT, Claude, Gemini, Perplexity, and other language models that users consult before, or instead of, a traditional search engine?
The platform is aimed at brands that want to manage their presence on these new channels, as well as digital agencies and consultants who want to integrate this type of audit into their offering. The field covered corresponds to what the profession calls GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization): optimizing the visibility of a brand in the responses produced by conversational AIs.
AI Labs Audit queries more than fifty AI models in parallel (ChatGPT, Claude, Gemini, Mistral, Perplexity, Grok, and others) using prompts built around a brand, its products, its competitors, and its sector of activity. Each response is analyzed to measure the frequency of citation, the position of the brand in the response, the sentiment associated with it, and the nature of the sources used by the model.
Audits can be conducted simultaneously in French, English, Spanish, and German, with contextual localization of prompts and calculation of visibility gaps between markets. Each report leads to a concrete action plan: a checklist of thirty-four points prioritized by impact and difficulty of implementation, covering in particular Schema.org, the llms.txt file, the AQA standard, and the GEO 2026 signals resulting from the work of Princeton, Common Crawl, and Wikidata.
The platform also includes a white-label mode for agencies, an MCP server exposing 164 tools for technical integrations, tracking of AI robot visits to client sites, and automatic generation of PDF reports in the reseller's colors.
Three elements distinguish the platform from existing GEO tools. First, the multi-LLM coverage: most market solutions are limited to one or two models, whereas AI Labs Audit queries more than fifty in parallel, with a clear distinction between native mode (intrinsic knowledge of the model) and web mode (real-time search via RAG). Secondly, the simultaneous multi-language audit with calculation of visibility deltas between markets, which has no identified equivalent on the market. Finally, the native integration of the AQA (Answer Quality Assurance) standard, an open standard under MIT license of which AI Labs Solutions is the originator, which structures FAQs and content in a way that is usable by the models.
The product is designed and maintained by a developer with twenty years of experience in the software industry, with a logic of operational tool rather than cosmetic dashboard. Agencies that resell the audits in white label have their own colors, logo, sub-domain, and report sending address.
AI visibility audit by Ai Labs Audit