Generative Engine Optimization (GEO) for B2B Tech

Get cited by ChatGPT, Gemini, Perplexity, and Google AI Overviews. We build GEO systems that make your brand the source AI search engines reference when your buyers ask questions.

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$10M+ pipeline generated for B2B tech companies

Your competitors optimise for Google. We optimise for Google AND AI search engines. Traditional SEO gets you rankings. GEO gets you cited by ChatGPT, Gemini, Perplexity, and AI Overviews. We build both — so your brand appears wherever your buyers are searching. Combine with our SEO system setup for a complete organic growth engine.

Trusted by leading technology companies:

Versa NetworksTotal MobileRapid7BonterraCDMComtracMODLRRadaroClarizenVersa NetworksTotal MobileRapid7BonterraCDMComtracMODLRRadaroClarizenVersa NetworksTotal MobileRapid7BonterraCDMComtracMODLRRadaroClarizen

AI search is changing how B2B buyers research

Your buyers are asking ChatGPT, Gemini, and Perplexity questions like "What is the best {category} for {use case}" and "Compare {your product} vs {competitor}". Google AI Overviews now appear for a growing share of commercial B2B queries.

These AI engines do not just list 10 blue links. They synthesise an answer from multiple sources — and only cite a handful of brands by name. If your content is not structured for AI citation, you are invisible in these conversations.

The companies being cited are not necessarily the biggest. They are the ones whose content is structured for how AI engines retrieve, evaluate, and synthesise information.

That is what generative engine optimization delivers. And that is what we build.

What our GEO agency builds for you

As a Go To Market agency specialising in AI search, we build complete GEO infrastructure so your brand gets cited across every AI platform your buyers use. Combine with SEO system setup for traditional search coverage and AI GTM systems for AI-assisted content production.

AI Citation Audit
We analyse where your brand appears — and where it does not — across ChatGPT, Gemini, Perplexity, and Google AI Overviews. You get a complete picture of your AI search visibility against competitors before we change anything.
Query Fan-Out Strategy
AI engines break a single query into 8-12 sub-queries before synthesising an answer. We map the exact sub-queries generated from your target keywords and create content that answers each one — so your brand gets pulled into the AI response.
Content Restructuring for AI
We reformat existing content with answer-first structure, stat density, quotable passages, and FAQ schema. AI engines cite content that delivers clear, structured, authoritative answers — not content buried behind walls of context.
Entity & Authority Building
AI models build brand entity recognition from structured data, knowledge graph presence, and consistent authority signals. We build your brand entity across AI knowledge sources so models associate your company with your target topics.
Schema & Structured Data
Comprehensive JSON-LD implementation — FAQ, HowTo, Article, Organization, and custom schema — that AI engines parse and prefer. Structured data is the language AI models use to understand and trust your content.
GEO Performance Tracking
We monitor AI citations, brand mentions in LLM responses, AI Overview appearances, and referral traffic from AI platforms. You get clear reporting on where you are being cited and where the gaps remain.
Combined SEO + GEO Strategy
An integrated approach that covers both traditional search rankings and AI search visibility. Pages that rank well in Google AND are structured for AI citation are 161% more likely to appear in AI-generated answers.

How AI search engines decide who to cite

Understanding how GEO differs from SEO starts with understanding how AI engines process a query. When a user asks ChatGPT or Perplexity a question, the model does not just search for matching keywords. It follows a multi-step retrieval process:

  1. Query decomposition: The model breaks the user query into 8-12 sub-queries (this is query fan-out).
  2. Retrieval: For each sub-query, the model retrieves candidate content from its index or web search.
  3. Evaluation: Retrieved content is scored for relevance, authority, recency, and structural clarity.
  4. Synthesis: The model combines information from top-scoring sources into a single answer.
  5. Citation: Sources that contributed the most useful information get cited by name.

Your content needs to win at every stage — covering the right sub-queries, being structurally easy for models to parse, and carrying enough authority signals to be preferred over competitors.

That is exactly what our GEO strategy is designed to achieve. Learn more about the specific tactics in our guide to getting cited by ChatGPT.

How our GEO engagement works

From AI search audit to measurable citation growth in 8-12 weeks.

01
AI Search Audit
We test your target queries across ChatGPT, Gemini, Perplexity, and Google AI Overviews. You get a detailed report showing where you appear, where competitors appear, and exactly what content is being cited — and why.
02
Strategy & Content Architecture
Query fan-out mapping for your target topics, content gap analysis against cited competitors, and a restructuring plan with clear priorities. Every recommendation maps to a specific AI citation opportunity.
03
Implementation
Content optimisation with answer-first formatting, schema markup deployment, entity building across knowledge sources, and authority signal strengthening. Hands-on execution, not just a strategy deck.
04
Monitor & Optimise
Ongoing citation tracking across AI platforms, performance measurement against baseline, and continuous optimisation as AI models update. AI search is moving fast — your GEO strategy needs to move with it.

SEO + GEO: covering both sides of search

SEO and GEO are not competing strategies — they are complementary. Pages that rank well in traditional search are more likely to be cited by AI engines. And content structured for AI citation also performs better in organic search because it is clearer, more comprehensive, and better structured.

Our SEO service builds the technical foundation and content architecture. Our GEO service adds the AI citation layer — content restructuring, schema markup, entity building, and query fan-out coverage that traditional SEO alone does not provide.

Most clients engage us for both. The combined approach delivers stronger results than either strategy in isolation because each reinforces the other. Learn more about optimising for AI Overviews and how it integrates with traditional SEO.

GEO & AI Search Optimization FAQs

What is GEO (Generative Engine Optimization)?
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GEO is the practice of optimising your content to be cited by AI search engines — ChatGPT, Gemini, Perplexity, and Google AI Overviews. When someone asks an AI assistant about your industry, your product category, or a problem you solve, GEO determines whether your brand gets mentioned in the response. It involves structuring content for query fan-out, building entity authority, and creating the kind of clear, quotable, data-backed content that AI models prefer to cite.
How is GEO different from SEO?
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Traditional SEO optimises for the 10 blue links on a Google search results page. GEO optimises for AI-generated answers. The key difference is how AI engines process queries: instead of matching keywords, they fan out a single query into 8-12 sub-queries, retrieve content for each, then synthesise a response. If your content answers those sub-queries comprehensively and authoritatively, you get cited. SEO and GEO are complementary — strong SEO signals also help GEO performance — but GEO requires additional content structuring, entity building, and citation optimisation that traditional SEO does not address.
Do we need GEO if we already do SEO?
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Yes. AI search is growing rapidly and eating into traditional organic click-through rates. Google AI Overviews now appear for a significant share of commercial queries, and tools like ChatGPT and Perplexity are becoming primary research channels for B2B buyers. If your content is not structured for AI citation, competitors who are structured for it will capture that visibility instead. The good news: a strong SEO foundation makes GEO implementation faster and more effective.
How do you get cited by ChatGPT?
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ChatGPT cites content that is authoritative, clearly structured, data-rich, and directly answers the query. Our approach combines several factors: answer-first content formatting so the key insight appears early, statistical evidence and specific data points that models prefer to cite, comprehensive FAQ coverage that matches query fan-out patterns, strong entity signals that associate your brand with your target topics, and schema markup that helps models parse your content. There is no single trick — it requires a systematic approach across content structure, authority, and technical implementation.
What is query fan-out?
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Query fan-out is the process AI engines use to answer a complex question. When you ask ChatGPT or Perplexity a question, the model breaks it into 8-12 sub-queries, retrieves content for each sub-query, evaluates the sources, then synthesises a response. For example, the query "best CRM for B2B SaaS" might fan out into sub-queries about pricing, integrations, ease of use, reporting capabilities, and scalability. If your content answers multiple sub-queries, you are far more likely to be cited in the final response. Our query fan-out strategy maps these sub-queries for your target topics and ensures your content covers them.
How do you measure GEO success?
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We track several metrics: AI citation frequency (how often your brand appears in AI-generated responses for target queries), citation share vs. competitors, AI Overview appearances in Google, referral traffic from AI platforms (ChatGPT, Perplexity, Gemini), brand mention sentiment in AI responses, and the number of target queries where you appear. We baseline all of these during the audit phase so you can see clear before-and-after improvement.
How long until we see GEO results?
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Initial improvements in AI citations can appear within 4-8 weeks as restructured content gets re-indexed and AI models pick up the changes. More significant gains — especially around entity building and comprehensive topic coverage — typically compound over 3-6 months. AI models update their knowledge and re-crawl sources on different cycles, so GEO results build progressively rather than appearing overnight. We provide monthly citation tracking so you can see the trajectory clearly.
What does a GEO agency cost?
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GEO pricing varies based on the scope of work — the number of target topics, the volume of content that needs restructuring, and whether you need combined SEO + GEO or GEO as a standalone engagement. Most B2B tech companies invest between $3,000-$10,000 per month for comprehensive GEO services. We offer both project-based and ongoing engagement models. Get in touch for a scoped proposal based on your specific situation.

Industries We Serve

GEO and AI search optimization for B2B technology companies across sectors.

Ready to get cited by AI search engines?

Get in touch to audit your AI search visibility and map out a GEO strategy for your company.