Generative Engine Optimization (GEO)

Format & Structure Content for Direct AI Engine Citations

We format high-value content for language model retrieval, embed clear Schema.org entity graphs, and align copy with commercial conversational queries.

Book 30-Min Strategy Call
Diagnostic Focus

“Will ChatGPT, Perplexity, and Claude cite your brand as an industry reference?”

340% Avg Citation Lift
Benchmark Lift
2–4 Wks
Sprint Cycle
4 production deliverablesDirect founder engineering

What we deliver

Concrete, production-ready assets engineered and deployed during this sprint.

01

AI Citation Audit & Gap Analysis

Forensic benchmarking of your brand’s citation frequency and ranking across ChatGPT, Perplexity, and Claude compared to top competitors.

02

Semantic Content Formatting

Re-engineering core content with semantic hierarchy, structured factual claims, and clear tables optimized for LLM retrieval and citation.

03

Entity Co-Occurrence Optimization

Strategic entity association linking your brand to high-authority industry nodes and knowledge bases to establish verified topical authority.

04

Conversational Query Mapping

Mapping commercial multi-turn conversational queries and prompt intent patterns to high-converting landing pages and proof assets.

How the sprint runs

A structured four-phase delivery cycle from initial audit to live citations.

01

Entity & Knowledge Graph Audit

Map your current brand representation across OpenAI, Anthropic, and Perplexity knowledge graphs.

02

Structured Content Formatting

Reformat high-value pages with clear semantic hierarchies and verifiable claims AI models can cite.

03

Authority & Citation Seeding

Earn citations on authoritative industry publications that feed directly into web retrieval sets.

04

Prompt Testing & Monitoring

Run recurring benchmark tests across core commercial queries to measure citation frequency and accuracy.