AI Search Optimization · AEO · GEO
AI search optimization makes your brand easy for ChatGPT, Gemini, Claude and Perplexity to find, trust and cite. Enso Labs combines answer engine optimization (AEO), generative engine optimization (GEO) and classic SEO, and measures every week whether your brand shows up in AI answers.
Get in TouchBuyers increasingly ask an AI assistant before they search or click. If the assistant does not mention you, you are not on the shortlist. Classic SEO still matters, but the assistant reads your site differently: it rewards clear entities, structured facts and pages that answer the question in the first sentence.
ensolabs.ai is our test bed. Every page carries structured data, our llms.txt is kept current, AI crawlers are allowed in robots.txt, and a weekly check asks the major assistants our buyers’ questions and logs whether Enso Labs appears. We sell the same system we use.
AI search is one of three media types we plan together, with paid and organic. See AI Advertising & Media for strategy, paid media including ChatGPT Ads, and marketing attribution. We work from New York with brands and agencies across the US.
AI search optimization is the work of making a brand easy for AI assistants such as ChatGPT, Gemini, Claude and Perplexity to find, understand and cite when people ask them questions. Enso Labs does this with structured data, answer-first content, llms.txt files, crawler access and weekly measurement of whether the brand appears in AI answers.
SEO (search engine optimization) aims for rankings in classic search results. AEO (answer engine optimization) aims to be the direct answer an assistant gives. GEO (generative engine optimization) aims to be cited inside AI-generated responses. Enso Labs plans all three together, because the same well-structured, answer-first page serves each of them.
Enso Labs tracks a fixed set of buyer questions in ChatGPT, Gemini, Claude and Perplexity every week and logs whether the brand is mentioned or cited, alongside Google Search Console data and AI-assistant referral traffic in analytics. Changes are judged against that baseline, not against a one-off spot check.
An llms.txt file is a plain-text summary at the root of a website that tells AI systems what the organization does, its key pages and its facts, in a format language models read easily. Enso Labs writes and maintains llms.txt files as part of AI search optimization; ours is at ensolabs.ai/llms.txt.
No. AI search optimization works alongside SEO and paid media. Enso Labs plans it as one of three media types, with paid and organic, inside an AI advertising strategy, and measures all three in one attribution framework.
Most engagements start with a fixed-fee AI search audit: we test your buyer questions across the major assistants, check your site’s structure and crawler access, and give you a ranked fix list. Get in touch to scope it.
We’ll test your buyers’ questions across the major assistants and show you where you appear, where you don’t, and what to fix first.
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