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SEO & GEO

Generative Engine Optimization (GEO)

Be the answer ChatGPT, Perplexity, and Gemini cite.

What is generative engine optimization?

Generative Engine Optimization (GEO) is the practice of optimizing content, schema, and entities so that generative AI engines like ChatGPT, Perplexity, Google AI Overviews, and Gemini retrieve and cite the brand in their answers.

The problem

Why this work matters

The SERP is no longer 10 blue links. Buyers ask ChatGPT, Perplexity, or Copilot a question and read one synthesized answer. If you aren't the source the model retrieves, you don't exist for that query — even if you rank #1 in classical Google.

What we ship

The work, in detail.

Capabilities
  • Citation surface mapping (which engines, which prompts)
  • Entity + retriever optimization
  • Knowledge-graph submissions (Wikidata, Google KG)
  • LLM-friendly content patterns (structured Q&A, fact density)
  • Brand mention + citation monitoring
  • Prompt-driven content briefs
Deliverables
  • Generative-engine audit per query cluster
  • Citation-share dashboard (ChatGPT, Perplexity, Gemini)
  • Retrieval-optimized content library
  • Monthly model-update response brief

Half of buying journeys now begin in a generative engine. The buyer asks the AI; the AI cites somebody. If it isn't citing you, you're not in the consideration set — and there's no second click.

How we work

The approach.

01

Map the citation surface

For every commercial query in your category we audit which generative engines answer it, who they cite, and what content patterns the citation tends to share.

02

Optimize for retrieval

Generative engines retrieve via embeddings, not keywords. We restructure content for retrievability: dense factual passages, clear entity signals, schema that maps to the model's worldview.

03

Monitor and iterate

We track brand mentions, citation share, and answer accuracy across all major engines weekly — and update content when a model updates its knowledge cutoff.

FAQ

Generative Engine Optimization (GEO) — common questions

What is GEO and why does it matter now?

Half of buying journeys now begin in a generative engine: the buyer asks the AI and reads one synthesized answer that cites somebody. If the model isn't citing you, you're not in the consideration set — even if you rank #1 in classical Google — and there's no second click to win you back.

How is GEO different from regular SEO?

Generative engines retrieve via embeddings, not keywords. We restructure content for retrievability with dense factual passages, clear entity signals, and schema that maps to the model's worldview, then submit to knowledge graphs like Wikidata and Google KG. It's optimization for retrieval and citation, not for ten blue links.

What does a GEO engagement deliver?

A generative-engine audit per query cluster, a citation-share dashboard across ChatGPT, Perplexity, and Gemini, a retrieval-optimized content library, and a monthly brief responding to model updates. We start by mapping which engines answer your commercial queries, who they cite, and what those citations have in common.

How do you measure GEO results?

We track brand mentions, citation share, and answer accuracy across all major engines weekly, reported on a citation-share dashboard. The outcomes we watch are AI citation lift over a 90-day window and how quickly a GEO sprint earns its first citation.

What happens when a model changes or updates its knowledge cutoff?

We monitor and iterate continuously, and update content when a model refreshes its knowledge cutoff. Each month you get a model-update response brief so your content stays aligned with how the engines currently retrieve and cite sources.

Can GEO run alongside our classical SEO program?

Yes — SERP Axis runs classical SERP and AI answer optimization under one program, because the entity, schema, and content work reinforce each other. Ranking in Google and being cited by ChatGPT are related problems, and we engineer for both rather than treating them as separate budgets.

Often paired with

Services that compound with Generative Engine Optimization

Most engagements pull from more than one discipline. Here's what frequently ships alongside generative engine optimization.

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