Generative Engine Optimization (GEO) Services
Generative Engine Optimization (GEO) — the technical and content practice of structuring entity data, cross-source corroboration, and extractable answer units so generative AI search systems can retrieve, verify, and cite a business within a synthesized answer, as distinct from traditional SEO’s objective of ranking a URL in a link list.
Why GEO is a different build than SEO
A ranked link only has to be relevant. A citation inside an AI-generated answer has to be verifiable — the engine is choosing what to repeat as fact, which means it’s checking your claims against other independent sources before it trusts you as one. That changes what “optimized” means: self-contained answer blocks instead of long-form narrative pages, schema-tagged definitions instead of implied meaning, and corroborating mentions across directories, press, and structured data instead of on-site claims alone.
What we build
- Entity reconciliation — aligning your Google Business Profile, on-site schema, and (where applicable) Knowledge Graph or Wikidata entity so engines read one consistent business, not several conflicting ones.
- Extractable content — FAQ-formatted, self-contained answer blocks (40–60 words) tagged with FAQPage and DefinedTerm schema, built from your actual service and product data.
- Crawler access — llms.txt and robots.txt directives that explicitly permit GPTBot, ClaudeBot, PerplexityBot, and Google-Extended to reach your canonical content.
- Corroboration strategy — a digital PR and citation plan that gets your entity mentioned by at least three independent, crawlable sources, since engines weight cross-source agreement heavily.
How we measure it
Citation frequency and entity confidence, not vanity rankings — we track how often your business appears in AI-generated answers for your priority queries, and report on it the same way we’d report ranking positions.