AI Search

AI Search Optimization

AI search optimization is the umbrella discipline: making your business visible wherever customers get AI-generated answers — ChatGPT, Gemini, Claude, Perplexity, Copilot, and Google's AI Overviews. Each engine reads the web differently, but they all reward the same thing: clear, corroborated, quotable evidence about who you are and what you do.

Why it matters

There isn't one AI search. There are six — and counting.

ChatGPT pulls from Bing and its own crawl. Perplexity searches live. Gemini leans on Google's index. Claude weighs different sources entirely. Optimizing for one and ignoring the rest leaves gaps competitors fill.

The good news: the underlying evidence is shared. Reviews, citations, structured data, and answer-first content feed all of them. We build the shared record once and verify coverage engine by engine.

Scope

What AI search optimization includes

  • Cross-engine visibility audit — where each engine names you, or doesn't
  • Source-gap analysis: which evidence each engine cites in your category
  • Content and schema engineered for extraction across all major engines
  • Crawler access checks — GPTBot, ClaudeBot, PerplexityBot, Google-Extended
  • Bing/local coverage for the engines that lean on it
  • Monthly per-engine citation tracking and gap reports

Process

How it works

  1. 01

    We query every major engine for the questions that matter in your market

  2. 02

    We score your presence per engine and map which sources each trusts

  3. 03

    We build the shared evidence layer plus engine-specific fixes

  4. 04

    We track citation share per engine monthly and adjust

Questions

Straight answers.

No — and that's exactly why per-engine measurement matters. They overlap heavily (all weight reviews and consistent listings) but differ enough that a business can be cited by one and invisible to another.