Generative
Engine
Optimization.
We engineer your brand to be cited — not summarized around — inside ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews. Entity-first. Engineer-led. Built for the European market.
Rankings are the shallow end. AI citations are the ocean.
Generative Engine Optimization is the practice of making a brand the kind of entity an LLM wants to cite. When a user asks ChatGPT "what's the best X in Europe" or Perplexity "who are the leaders in Y," the engine synthesizes an answer from a handful of sources. Your brand is either one of those sources — or it isn't.
GEO optimizes for the citation, not the click. The KPIs are citation frequency, answer inclusion rate, entity strength and share of AI voice. The techniques overlap with classical SEO (schema, crawlability, content structure) but the targets are different, and the work is deeper.
Most agencies are still selling keyword sheets. We're engineering the knowledge graph entries your brand shows up in.
Your competitors aren't winning AI search. They're just already inside it.
Google AI Overviews now appears on an overwhelming majority of commercial search queries. ChatGPT has hundreds of millions of weekly users, many of whom no longer touch a classical search engine. Perplexity is becoming the default research tool for technical buyers. Gemini is baked into Workspace.
The brands that get cited today are writing the reference layer for the next decade of AI answers. Every citation reinforces entity strength. Every entity reinforcement increases the probability of the next citation. It is a compounding position, and it closes.
Waiting until AI search "matures" is like waiting until Google "matures" in 2003.
The 5-layer GEO stack.
Every engagement works through these five layers in order. Skipping layers is why most "GEO" attempts fail.
Entity Audit
We map how each major LLM currently perceives your brand. What does ChatGPT "know" about you? What does Perplexity cite when someone asks about your category? Where are the gaps in your Wikidata / knowledge-graph entries? This produces the baseline every subsequent layer is measured against.
Structured Data & Schema
We deploy a full schema architecture — Organization, Service, Product, Person, Article, FAQPage, HowTo, with explicit @id anchoring and sameAs disambiguation across Wikidata, LinkedIn, Crunchbase and authoritative external sources. This is the machine-readable spine every LLM uses to decide who you are.
Content Architecture
We rebuild content around entities and question clusters, not keyword lists. Definitive pillar pages. FAQ layers that match how users actually ask LLMs. Glossaries that anchor key terms. Internal linking that forms a semantic network instead of a flat sitemap.
Citation Distribution
LLMs cite what other credible sources cite. We engineer third-party entity mentions — research publications, podcasts, data repositories, directory listings, authoritative editorial placements — that reinforce the entity signals without looking like link-building (because they aren't).
Measurement & Iteration
We track citation frequency across 12+ engines, answer-inclusion rate for target prompts, share of AI voice against competitors, and entity-strength deltas over time. Dashboards update weekly. Tactics iterate monthly. Nothing is set-and-forget.
All 12. Not just the famous ones.
Each engine has its own retrieval logic, citation preferences and ranking signals. We optimize for the mix — not just whichever one is trending this quarter.
Google AI Overviews
The highest-volume surface and the hardest to win. Schema + EEAT + classical SEO fundamentals are non-negotiable.
ChatGPT
Both parametric memory and live browsing mode. Two very different optimization targets.
Perplexity
Citation-first by design. The engine that rewards GEO execution most directly.
Gemini
Baked into Workspace, Android and Chrome. Entity-heavy retrieval logic.
Claude
Strong on editorial, research and long-form content. Quality over recency.
Microsoft Copilot
Bing's GEO surface. Enterprise-heavy audience.
Meta AI
Emerging surface across WhatsApp, Instagram and Facebook. Shouldn't be ignored.
You.com
Specialized agentic search. Over-indexes technical and research queries.
Arc Search, Brave Leo, Poe, DuckDuckGo AI
The long tail. Small but growing. Covered.
Deliverables.
A typical 90-day GEO sprint includes the following. Retainers extend and iterate on every item.
- Full AI visibility baseline across 12+ engines
- Entity map & knowledge-graph audit
- Complete schema deployment (JSON-LD, sitewide)
- Wikidata & authoritative source alignment
- Pillar content rewrite (up to 10 pages)
- FAQ layer (AEO-optimized) across key templates
- Semantic interlinking architecture
- Third-party citation seeding plan
- llms.txt and robots.txt configuration
- Live tracking dashboard (weekly updates)
- Monthly iteration & reporting cycles
- Direct Slack / email access to the engagement team
Frequently asked.
Stronger together.
GEO works best when stacked with the technical and content layers beneath it. These services commonly run in parallel.
Find out where your brand stands inside the AI search stack.
Free AI Visibility Audit. 12+ engines. 1 business day turnaround.