GEO  ·  Generative Engine Optimization Agency

Generative Engine Optimization Agency—
We Make AI Include You.

As a generative engine optimization agency, we engineer your brand into the responses large language models generate about your category—even when no specific piece of your content was queried. We build that entity presence systematically and track it weekly with a citation matrix showing exactly who’s winning and who’s losing.

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4+ AI engines optimized simultaneously · Entity KG structuring included · Weekly citation matrix, every client
Generative Engine Optimization visualized — a brand entity knowledge graph of interconnected nodes that makes large language models trust and include the brand.
The brand-entity knowledge graph a GEO agency engineers so AI models include you in generated answers.

The Discipline

What Is Generative Engine Optimization?

Generative Engine Optimization (GEO) is the discipline of building your brand’s entity signals so that large language models—ChatGPT, Perplexity, Gemini, Claude, and the systems that power Google AI Overviews—include your brand in generative responses about your category. Not in a list of links. Inside the generated answer itself.

GEO operates at the entity layer of AI retrieval. When a language model generates a response, it draws on two things: its training data and, for systems with real-time retrieval, the current web. Your GEO score is a function of how clearly and consistently your brand entity is represented across both—and how many authoritative sources corroborate that representation.

The critical distinction between GEO and traditional SEO: SEO rank does not determine GEO presence. A brand can hold the #1 position on Google for a high-value keyword while being completely absent in ChatGPT or Perplexity responses about the same topic. The ranking signals that win traditional search—backlinks, domain authority, keyword density—are different from the entity signals that win AI inclusion.

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Entity Clarity

AI models need to unambiguously identify who you are. Conflicting data, inconsistent brand names, or sparse entity signals cause AI engines to omit you — even if you’re well-known in your category.

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Semantic Corroboration

AI engines trust brands that are mentioned consistently across multiple authoritative sources. A single well-structured website isn’t enough — the model needs to see corroboration from industry directories, press, partners, and topical publications.

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Weekly Measurement

GEO visibility is invisible unless you query each AI engine weekly. Most agencies don’t. We run your buyer queries through ChatGPT, Perplexity, and Gemini every week and log every citation, position, and competitor movement.

The Distinction

GEO vs SEO: Two Different Games, Both Running at Once

Traditional SEO and GEO are not competing strategies — they are parallel disciplines that target different layers of search. SEO targets the ranked list of links. GEO targets the generated paragraph that now appears above, or instead of, that list. A comprehensive search strategy needs both.

The mistake most brands make: assuming that strong SEO automatically produces GEO presence. In practice, the two correlate loosely at best. We have audited brands ranking #1 on Google for competitive terms while receiving zero mentions in any AI engine response to the same query. The entity work required for GEO is distinct — it requires specific schema, specific content architecture, and specific off-site corroboration signals that don't necessarily produce traditional search rank improvements.

Traditional SEO

  • → Targets ranked positions in search result pages
  • → Prioritizes domain authority & backlink volume
  • → Measured in rank position 1–100
  • → Keyword-density content strategy
  • → Invisible in AI-generated responses

GEO — Generative Engine Optimization

  • ✓ Targets inclusion in AI-generated responses
  • ✓ Builds entity clarity & knowledge graph signals
  • ✓ Measured in citations won / category share
  • ✓ Entity-first, semantically structured content
  • ✓ Present where the next buyer is already searching

The Method

Our GEO Methodology

GEO is built in five interconnected layers. Each one makes the next more effective. We measure from week one and build the record as we go.

Layer 01

Entity Definition & Disambiguation

We begin by establishing a single, unambiguous entity definition for your brand across all surfaces: schema markup (Organization, LocalBusiness, Person), on-site content, social profiles, and external directories. Every instance of your brand name online must resolve to the same entity. Conflicting data — different addresses, different descriptions, inconsistent naming — creates entity ambiguity that causes AI models to exclude you as a low-confidence source.

Layer 02

Knowledge Graph Seeding

We build the topic-entity relationships that tell AI models what your brand is authoritative on. This means structured data that explicitly connects your brand to the topics, services, and category terms you want to own — not implied by keywords on a page, but declared through schema and corroborated through content. The knowledge graph connects your brand, your services, your location, your team, and your external mentions into a coherent, machine-readable semantic structure.

Layer 03

Semantic Corroboration & Off-Site Authority

A well-structured entity on your own site is insufficient. AI models weight brands that are mentioned and cited by sources the model already trusts. We build your corroboration footprint: strategic placements in industry publications, category-specific directory listings (Clutch, G2, DesignRush), partner mentions, and press that connects your brand to the topics you target. Each corroboration signal reinforces your entity graph and increases the model’s confidence that you belong in generated responses about your category.

Layer 04

GEO-Formatted Content Architecture

GEO is not about publishing more content — it’s about publishing content that is structured for entity corroboration and semantic coverage. We audit your content against the topic map your entity needs to own, identify gaps in category coverage, and produce definitional, comparative, and Q&A content that reinforces your authority across each topic cluster. Every piece is structured to be extracted, not just indexed.

Layer 05

Weekly Citation Measurement via Foundry Metrics™

We run your buyer query set through ChatGPT, Perplexity, Gemini, and Google AI Overviews every week and update your citation matrix: cited or not, position in the response, URL referenced, competitor appearing instead. Weekly data means weekly intelligence — when a citation appears, we know which layer produced it. When a competitor gains ground, we know which query they won and what content they used. GEO is not a set-and-forget discipline. It compounds when it’s measured.

GEO + AEO

GEO Wins the Entity. AEO Wins the Question.

GEO builds the brand-entity signals that make AI models include you when generating responses about your category. AEO captures the citation when a buyer asks a specific question your content answers. The two disciplines reinforce each other — a strong GEO foundation makes AEO citations more durable, and AEO citations corroborate the entity signals that GEO depends on. We run both simultaneously on a shared entity foundation.

See our AEO service →

Engine-Specific

Not All AI Engines Are the Same

Each major AI engine retrieves and cites information differently. A GEO strategy that works for Perplexity may not perform in ChatGPT — and a brand cited in Google AI Overviews may still be absent from Claude. We build engine-specific strategies, not a generic one-size-fits-all approach.

ChatGPT

Relies on training data + Bing browsing. Entity signals from authoritative indexed pages and high-trust external mentions carry the most weight.

Perplexity AI

Real-time web retrieval. Cites sources explicitly. Content recency, page structure, and schema clarity drive citation frequency.

Google AI Overviews

Draws from the Google Knowledge Graph and indexed content. Structured data, E-E-A-T signals, and Schema.org markup carry disproportionate weight.

Claude (Anthropic)

Training-data weighted. Brands that are consistently represented across high-quality indexed content and authoritative press earn higher inclusion rates.

FAQ

GEO Questions, Answered

What is a generative engine optimization agency? +
A generative engine optimization agency is a firm that engineers a brand’s entity signals, knowledge graph, and semantic corroboration so that large language models include the brand in AI-generated responses about its category. The work targets the entity layer of AI retrieval — who the brand is, what topics it owns, and why AI engines should cite it — rather than ranked positions in traditional search results. MAD1SON FOUNDRY is a generative engine optimization agency tracking citations weekly across ChatGPT, Perplexity, Gemini, and Claude.
What is a GEO agency in marketing? +
A GEO agency (Generative Engine Optimization agency) specializes in engineering a brand’s entity signals so that large language models — ChatGPT, Perplexity, Gemini, Claude — include the brand in generative responses about its category. Unlike SEO agencies that target search rankings, a GEO agency targets the entity layer of AI retrieval: who you are, what you are authoritative on, and why an AI model should trust and cite you.
What is generative engine optimization? +
Generative Engine Optimization (GEO) is the discipline of building brand-entity signals that determine whether large language models include your brand in AI-generated responses about your category. GEO operates at the entity layer: who your brand is, what topics it owns, what authority sources corroborate it, and how clearly AI models can resolve your brand identity from their training data and real-time retrieval indexes.
How is GEO different from SEO? +
SEO targets ranked positions in search result pages. GEO targets inclusion in AI-generated responses where there are no ranked positions — only cited entities the model considers authoritative. SEO relies on backlinks, domain authority, and keyword optimization. GEO relies on entity clarity, knowledge graph signals, and semantic corroboration. A brand with strong SEO can still be invisible in generative AI responses if its entity is ambiguous or uncorroborated.
What’s the difference between GEO and AEO? +
AEO gets specific content cited as a direct answer to a specific question. GEO builds the brand-entity signals that make AI models include you in generative responses even when the query doesn’t directly match specific content you’ve published. AEO wins the question; GEO wins the entity. The most effective AI search strategies deploy both simultaneously on a shared entity foundation.
How long does GEO take? +
For brands with existing presence and press mentions, initial citation movement typically appears within 8–16 weeks. For new brands, 3–6 months is a realistic horizon. We measure weekly from day one, so progress is tracked objectively. Early wins typically come on high-specificity queries before broader category terms.
What is an entity knowledge graph in marketing? +
An entity knowledge graph is the network of semantic relationships between your brand, the topics it covers, the locations it operates in, the people behind it, and the external sources that corroborate all of the above. AI models use entity knowledge graphs to determine whether a brand is a credible authority on a given topic — and whether it should be cited. Building a strong entity knowledge graph is the foundational step in GEO and AEO. It involves structured schema markup, consistent on-site content architecture, and corroboration from authoritative external sources.
Do I need both GEO and AEO? +
Yes, for maximum AI search coverage. AEO wins specific answer citations. GEO ensures your brand is included in broader generative responses about your category. Running AEO without GEO leaves you dependent on content matching. Running GEO without AEO leaves you with brand visibility but fewer specific citation captures. We run both simultaneously as part of a unified AI search strategy.

Get Started

Find Out Where You Stand in Generative AI Today

We’ll audit your current entity strength, run your buyer queries through every major AI engine, and deliver a baseline citation matrix — free, in 48 hours, signed by the founder.

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