> generative_engine_optimization

A GEO agency for measurable AI search visibility

Generative engine optimization helps B2B companies become easier to find, understand, cite, and recommend across ChatGPT, Perplexity, Claude, Gemini, and Google AI experiences. We combine the audit, content, technical, and measurement work in one program.

GEO vs AEO

  • GEO, AI SEO, and LLM optimization describe overlapping work: improving retrieval, citations, and recommendations in AI answers.
  • AEO emphasizes direct answers and Google AI experiences; our GEO engagements include that work rather than selling a duplicate program.
  • The baseline is a fixed buyer-prompt set, current mention and citation rates, cited-source gaps, and crawl/index checks.
  • Execution prioritizes useful content, clear entities, trusted third-party sources, internal links, and measurable changes—not guaranteed placements.

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What an engagement includes

AI visibility baseline

Map buyer prompts, competitors, current mentions, citations, and the sources each engine relies on.

Content and entity strategy

Build answer-ready service, comparison, and educational pages around distinct customer decisions.

Technical implementation

Fix crawlability, indexation, canonical signals, structured data, internal links, and machine-readable business facts.

Measurement and iteration

Track a stable prompt corpus, citation sources, AI referrals, conversions, and the experiments that change outcomes.

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FAQ

Is GEO the same as AEO?

Close, not identical. GEO focuses on generative engines like ChatGPT, Perplexity, Claude, and Gemini. AEO is broader answer-engine language (including AI Overviews). We lead with GEO and cover AEO tactics too.

Is GEO replacing SEO?

No. SEO still matters for the sources AI cites. GEO adds mention tracking, citation sources, and content structured for LLM answers.

How do you measure GEO?

Mention rate and citation rate on a fixed prompt set, weekly screenshots, and source URL tracking across engines.