AI Search

Generative Engine Optimization

Generative Engine Optimization (GEO) is the practice of structuring your business's online evidence — content, reviews, citations, structured data — so generative AI engines like ChatGPT, Gemini, Claude, and Perplexity can find it, trust it, and cite it when answering questions about businesses like yours.

Why it matters

AI engines don't rank pages. They assemble answers.

When someone asks ChatGPT for a plumber in your city, the model doesn't browse ten blue links — it synthesizes an answer from sources it trusts: review platforms, directories, your site's structured data, and corroborating mentions across the web.

GEO is about being legible to that assembly process. The businesses that get cited aren't always the biggest — they're the ones whose evidence is clearest, most consistent, and easiest to quote.

Scope

What GEO work includes

  • Entity and knowledge-graph alignment — who you are, what you do, where
  • Answer-first content engineered to be extracted and quoted
  • Structured data: LocalBusiness, Service, FAQ, and review markup
  • Citation and mention building on sources engines actually read
  • AI crawler access verification — GPTBot, ClaudeBot, PerplexityBot
  • Citation tracking across ChatGPT, Gemini, Perplexity, and Copilot

Process

How GEO engagements run

  1. 01

    We ask the engines about your category in your market and record what they say

  2. 02

    We map the evidence they cite — and the evidence they're missing about you

  3. 03

    We build and fix the record: content, schema, citations, reviews

  4. 04

    We re-ask, measure citation share, and iterate on the gaps

Questions

Straight answers.

SEO optimizes for ranked lists of links. GEO optimizes for synthesized answers — engines that quote sources instead of listing them. The two reinforce each other: good SEO builds the authority that makes engines trust you, and GEO makes that evidence extractable.