Generative Engine Optimization (GEO) is the practice of making your brand, content, and expertise more likely to be cited, recommended, or referenced by AI language models — including ChatGPT, Claude, Gemini, and Perplexity. As more users turn to AI assistants for information, research, and recommendations, GEO has emerged as a distinct discipline alongside traditional SEO and AEO. When someone asks an AI "who are the best fractional CMOs?" or "what is the best AI strategy firm in Las Vegas?" — GEO determines whether your name comes up.

GEO vs. SEO vs. AEO: GEO is distinct from SEO and AEO. SEO earns blue-link rankings on Google. AEO earns Google's answer boxes and featured snippets. GEO earns citations and recommendations inside AI chat interfaces. The signals that drive GEO performance are different from traditional search — authority, citation patterns, structured data, and the quality of your content relative to what AI models were trained on. A complete search visibility strategy addresses all three.

What GEO Work Involves

GEO is the newest and fastest-evolving discipline in search visibility. AI language models don't rank pages the way Google does — they synthesize information from their training data and live web retrieval, and surface the brands, experts, and sources that appear most authoritative, well-cited, and clearly defined across the open web.

The first step is an AI citation audit: systematically testing how your brand currently appears (or doesn't appear) when target customers pose relevant queries to ChatGPT, Claude, Gemini, and Perplexity. This establishes the baseline and surfaces the gaps.

From there, the work involves building the signals that AI models rely on: entity establishment in knowledge bases, E-E-A-T signal development, high-authority citation building in the sources LLMs most heavily reference, structured data that makes content machine-readable, and definitional content that directly answers the questions AI models are trained to respond to. Unlike traditional SEO, GEO is as much about your off-site presence as your on-site content.

What's Included

  • AI citation audit (testing brand visibility in ChatGPT, Claude, Gemini, Perplexity)
  • Entity establishment and knowledge graph optimization
  • Structured data and schema markup for AI readability
  • Authority content creation (AI-preferred formats: factual, structured, cited)
  • High-authority citation building (Wikipedia, data sources LLMs train on)
  • E-E-A-T signal development (Experience, Expertise, Authoritativeness, Trustworthiness)
  • AI search monitoring and citation tracking
  • Brand mention strategy across authoritative publications
  • FAQ and definitional content (question-answer content that LLMs cite)
  • GEO performance benchmarking and reporting
Who We Help

Is GEO Consulting Right for You?

Brands Not Appearing in AI Search Results

When potential customers ask AI assistants for a recommendation in your category, your competitors appear and you don't. GEO builds the signals that change that.

Thought Leaders and Consultants

Individual expertise is increasingly validated by whether AI models can accurately describe your work and recommend you. GEO ensures your personal and professional brand is accurately represented in AI responses.

Companies Preparing for AI-First Search

AI-powered search is growing. Companies that build GEO authority now will have a structural advantage as more queries shift from traditional search to AI assistant interfaces.

FAQ

GEO Consulting Questions

Generative Engine Optimization (GEO) is the practice of optimizing your digital presence to appear in the responses generated by AI language models — including ChatGPT, Claude (from Anthropic), Google Gemini, and Perplexity. As these AI assistants become primary research and recommendation tools for millions of users, the ability to be cited, recommended, or referenced by them has become a new form of search visibility. GEO focuses on the signals AI models use to evaluate authority and relevance: the quality of your content, the breadth of your citations across the web, your entity establishment in knowledge bases, and the structured data that makes your content machine-readable.
AI language models are trained on large bodies of web content and are updated through retrieval-augmented generation (RAG) from current web sources. They tend to cite brands and experts that appear frequently in authoritative sources, have clear entity definitions in structured databases (like Wikipedia or Wikidata), have high-quality structured content that directly answers common questions, and are mentioned and cited across multiple independent sources. GEO builds these signals systematically.
Yes, though GEO measurement is still evolving compared to traditional SEO. The primary measurement approach involves systematically querying AI assistants with prompts that your target customers would use (e.g., "who are the best fractional CMOs in Las Vegas?", "what firms specialize in AI strategy consulting?") and tracking whether and how your brand appears in responses. Tools like Profound, Otterly, and BrandMentions are emerging to automate this tracking. Baseline, trend, and share-of-voice in AI responses are the key metrics.
No. AEO (Answer Engine Optimization) targets Google's own answer features within its search interface — featured snippets, People Also Ask boxes, and knowledge panels. GEO targets AI assistants that operate as separate interfaces — ChatGPT, Claude, Gemini, Perplexity. The underlying signals partially overlap (both value authoritative, structured content), but the platforms and measurement are distinct. A company could rank well in Google's PAA boxes (AEO) and be completely absent from ChatGPT recommendations (GEO), or vice versa.
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