Engineering visibility inside generative answers
Generative Engine Optimization for brands that need to live inside the answer.
GEO is the discipline of becoming the source that LLMs reach for when a user asks a question. We engineer your content, entities and citations into the corpus generative engines trust.
The problem
The answer replaced the link
When ChatGPT, Gemini or Perplexity synthesize a response, only a handful of sources get named. Most brands are invisible at the moment of decision — even when they rank well in traditional SERPs.
- LLMs cite far fewer sources than a 10-blue-link SERP
- Brand mentions often appear without attribution or hyperlinks
- Outdated content and weak entity signals push you out of the answer set
- There is no AdWords for the inside of a model — you earn the slot
The solution
A four-layer GEO program
We don't run a single playbook. We layer content engineering, entity work, citation acquisition and continuous measurement into one operational system.
Answer-shaped content
Re-architect pages around the questions buyers actually ask AI, with summarization-friendly structure and inline evidence.
Entity hardening
Resolve your brand, products and experts as unambiguous entities across the open web and structured data layers.
Citation surface area
Earn references from the publications, datasets and communities LLMs treat as authoritative signal.
Visibility telemetry
Measure share of voice inside ChatGPT, Gemini, Claude and Perplexity weekly, by prompt cluster, not by keyword.
The process
How we run the program.
- 01
Discovery & prompt mapping
We map the 200–2,000 prompts that drive consideration in your category and benchmark current AI visibility.
- 02
Corpus audit
Audit your owned content, third-party citations and entity graph footprint against the answer set.
- 03
GEO blueprint
Deliver a quarter-by-quarter blueprint covering content, entity, citation and technical workstreams.
- 04
Implementation
Our team executes alongside yours — writing, optimizing, outreach, schema, monitoring.
- 05
Measurement
A weekly visibility report scored against named competitors, by prompt cluster and by engine.
Benefits
What you walk away with.
- Named as a recommended option inside generative answers
- Higher consideration-stage share of voice with zero paid spend
- Compounding authority that improves classical SEO in parallel
- Defensible moat as more buyers ask AI before searching Google
Deliverables
In the engagement.
- Prompt landscape & visibility baseline report
- GEO blueprint with quarterly roadmap
- Answer-shaped content production (4–20 pieces / month)
- Entity resolution & structured data implementation
- Targeted citation acquisition campaign
- Weekly AI visibility dashboards
Case study
Northwind Cloud
B2B SaaS — data infrastructure
Challenge
Ranking page 1 for category terms but absent from 92% of evaluated AI answers in the buyer prompt set.
Result
Re-architected the documentation, comparison and concept layer. Named in 71% of evaluated prompts inside 5 months.
8% → 71%
AI mention share
+612%
ChatGPT citation rate
$4.8M
Pipeline attributed to AI
FAQ
Questions we get on GEO.
How is GEO different from SEO?
SEO optimizes for ranked link lists. GEO optimizes for inclusion inside a synthesized answer. Both matter, and they share infrastructure, but the tactics, KPIs and content shape differ.
Which engines do you optimize for?
ChatGPT, Google AI Overviews, Gemini, Perplexity and Claude as a baseline. We also monitor emerging surfaces such as Copilot, Brave Leo and SearchGPT.
How long does GEO take to compound?
Most clients see measurable lift inside 60–90 days. Category leadership inside AI answers typically takes 6–9 months of consistent program execution.
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Learn moreReady to engineer your GEO program?
A 30-minute call with our team is the fastest way to size the opportunity and the plan.