[ GEO & FINDABILITY ]
We are in a post-AI market. Sales and findability increasingly start in answer engines — ChatGPT, Gemini, Claude, Perplexity — and in the AI overview that sits on top of search results. Ranking on page one is no longer enough. If these systems do not name and link you, the buyer never reaches your site.
[ BEFORE & AFTER ]
Toggle Without GEO vs With GEO. Watch both the answer engine and the search overview change — grey and generic, or cited and linked.
[ HOW WE WORK ]
Two phases. First we make you findable in the answer. Then we harden the structure so engines can retrieve, quote, and link you reliably.
Generative Engine Optimization GEO protocols: answer pages, locality signals, entity profiles, JSON-LD schema, citation assets, ChatGPT Gemini Perplexity Claude monitoring for consistent findability.
[ PHASE ] [ PRESSENCE ]
Structured pages, location, and people — so user queries resolve directly to your brand.
Map real customer prompts, then publish claim-dense pages answer engines can lift.
Outcome You become the paragraph in the chat — not a buried blog post.
Bake region, industry, and audience into pages and profiles — not “somewhere online.”
Outcome Local and niche prompts prefer you over generic filler.
Consistent names, roles, and relationships so “Who is…?” resolves to you.
Outcome Accurate founder and company answers with links — not invented bios.
[ PHASE ] [ STRUCTURE ]
Machine-readable maps, citable proof, and a monitoring loop as models shift.
JSON-LD for Organization, Person, Service, FAQ, and page relationships.
Outcome Cleaner retrieval and attribution — models parse instead of guess.
Specs, process, cases, named authors — sources engines can verify and link.
Outcome Quotable proof in overviews and chat answers, not vague claims.
Fixed prompt sets across major engines. Visibility drifts — GEO is a loop.
Outcome Weekly fixes so you stay in the answer as models and rivals move.
[ CONTENT & CITATIONS ]
The system above is infrastructure. This is the content track — three moves that give engines something clear to cite.
Answer customer questions on the first screen — who, what, where, for whom. That is what overviews and chat answers lift.
Stable URLs, named authors, dates, and process detail beat rotating landings and vague marketing.
Brand, people, and offers must match across site, bios, and mentions. Conflicts invent; consistency cites.
Want citeable content and the system behind it? Tell us your market, category, and who must find you.
[ CONTACT US ][ FREQUENTLY ASKED QUESTIONS ]
Generative Engine Optimization GEO FAQ for ChatGPT Gemini Perplexity Claude citations, JSON-LD, entity profiles, B2B EU SaaS.
GEO engineers your brand, people, products, and proof so generative AI engines retrieve you, quote you, and link to you on high-intent questions.
SEO optimizes for ranked links and clicks. GEO optimizes for being the cited source inside AI answers. They reinforce each other — not the same job.
They blend training data, live retrieval, authority, entity clarity, and page structure. Clear claims, consistent entities, schema, and citable URLs beat generic filler.
Publish answer pages for real customer prompts, harden entities, ship accurate JSON-LD, create citation-ready proof, and monitor as models change.
A coherent identity for a brand or person — names, roles, relationships, offers — so “Who is X?” resolves to you, not a vague guess.
JSON-LD is a parseable map of Organization, Person, Service, FAQ, and page relationships. Structural clarity helps models retrieve and attribute correctly.
No. GEO extends SEO into generative answers. You still need crawlable pages; GEO adds answer-page design, entity graphs, citation assets, and monitoring.
Citation movement often starts within weeks after answer pages and schema ship, with compounding gains over months of iteration.
Local businesses, e-commerce shops, service brands, and individuals — anyone whose audience asks AI engines for recommendations, locations, or background details before making a decision.
Answer share, branded links in AI replies, entity resolution quality, and week-over-week gap closure after content and schema updates.
Audit → map questions → publish answer pages → harden entities → ship JSON-LD → locality & citations → monitor → iterate. Matches the steps above.
Yes. Founder bios, company graphs, and consistent public signals so “Who is…” and brand queries return accurate, citable answers with links.
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