Agentic SEO & GEO

Search is moving from a list of blue links to a single AI-generated answer. People increasingly ask ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews instead of scrolling a results page — and those assistants cite a handful of sources rather than ranking ten. Generative Engine Optimization (GEO), also called Answer Engine Optimization, is the practice of making sure your business is one of the sources the AI quotes by name. Lanos Logic optimizes your site for how language models actually retrieve and cite content, so you show up where your buyers are now starting their research.

Our process starts with an audit of how AI systems see you today: which AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended and others) can reach your site, what structured data you expose, and whether your content is even retrievable. We then make your pages machine-legible — adding JSON-LD schema (Organization, Service, FAQ, Speakable), an llms.txt and llms-full.txt knowledge base, and agent-native surfaces like an MCP endpoint and agent.json so assistants can read you directly. The core of the work is structuring content for hybrid retrieval: AI search engines fuse keyword (lexical) and meaning-based (semantic) search using Reciprocal Rank Fusion, so we co-locate clear question-and-answer passages, entity names, and self-contained explanations that score in both — the passages models actually pull into an answer.

Why it matters: if your competitors are the ones being cited in AI answers, you lose the buyer before they ever reach a search result or your homepage — and unlike a ranking you can watch, you never see it happen. GEO is also durable; the structured, well-explained content that earns citations keeps working as models update. Every engagement begins with a free discovery call and a visibility audit, is quoted as a fixed project price, and includes measurement of where AI engines mention your brand so we can close the gaps. Agentic SEO & GEO pairs naturally with our Vector Database Solutions and AI Agents work when you also want an assistant of your own grounded in the same content.

We deliver this through the 5-Layer GEO Stack — the same system we run on our own website: (1) Crawl Access — make sure AI crawlers like GPTBot, ClaudeBot, PerplexityBot, Google-Extended and OAI-SearchBot can reach and read your site; (2) Machine Legibility — JSON-LD schema, an llms.txt / llms-full.txt knowledge base, and agent-native surfaces (MCP, agent.json) so models parse you cleanly; (3) Retrieval-Ready Content — self-contained, question-and-answer passages tuned for the hybrid lexical and semantic retrieval (Reciprocal Rank Fusion) that AI engines use to pick sources; (4) Authority & Citations — the entity consistency, citations, and mentions that make a model trust and repeat your brand; and (5) Visibility Monitoring — tracking where and how you are cited across ChatGPT, Claude, Perplexity, and Gemini so we can close the gaps.