Frequently Asked Questions
Everything you need to know about GSO, RAG, and B2A.
What is GSO (Generative Search Optimization)?
GSO is the set of techniques aimed at optimizing a brand's presence in answers generated by AIs like GPT, Gemini, and Claude. Unlike classic SEO which optimizes for ranking in a list of links, GSO optimizes to be cited as a reference source in AI answers.
What is the difference between SEO and GSO?
SEO optimizes for traditional search engines (blue links). GSO optimizes for generative engines that synthesize complete answers. SEO measures clicks, GSO measures citations and share of voice in AI answers.
What is RAG (Retrieval-Augmented Generation)?
RAG is an architecture allowing AIs to retrieve factual information from an external knowledge base before generating an answer. This combines the generative power of LLMs with the factual precision of a document base.
What is B2A (Business-to-Agent)?
B2A refers to strategies allowing a company to make its services directly consumable by autonomous AI agents. This includes structured APIs, capability manifests, and llms.txt files.
How to reduce hallucinations about my brand?
To reduce hallucinations: 1) Clarify your identity with precise JSON-LD schemas, 2) Create consistency across all your sources, 3) Provide structured data via APIs, 4) Strengthen trust signals (C2PA, provenance).
How much does a retrievability audit cost?
Our audits start with a free diagnostic with no commitment. Full missions are priced according to the complexity of your digital ecosystem. Contact us for a personalized quote.
Which LLMs do you analyze in your audits?
We systematically test on GPT-4/GPT-5, Gemini 2.0, Claude 4, Perplexity, and major open-source models (Llama, Mistral). Our benchmark covers over 95% of the used AI assistant market.
What is an llms.txt file?
The llms.txt file is the equivalent of robots.txt but for LLMs. It provides language models with a structured guide on your company, your services, and how to interact with you. It is an emerging standard of the semantic web.