Focused conversation
Book a Strategy Call
Choose an available slot to discuss the current constraint, available evidence, and project fit.
View available timesAI answer visibility
Make expertise easier for answer engines to understand and cite.
Structure useful, attributable, entity-clear content for modern search and generative discovery without claiming guaranteed inclusion.
Generative discovery flow
Sequential Flow01Expert source
02Structured answer
03Entity context
04Retrievable citation
Outcome
Service Delivery System
A disciplined, four-stage delivery framework
Every generative engine optimization project follows a structured progression—moving from root constraint diagnosis to customized architecture, direct implementation, and continuous measurement.
01 · AI READINESS AUDIT
Diagnosing Retrieval Obstacles, Entity Ambiguity, and Citation Absence
Tests brand presence across AI answer engines (ChatGPT Search, Perplexity, Google AI Overviews), inspecting knowledge graph citations and entity disambiguation.
Inside this phase
- Testing target query prompts across ChatGPT, Perplexity, and Google AI Overviews to evaluate brand citations
- Entity disambiguation audit checking Wikidata, Schema markup, and official brand knowledge graph entries
- Assessment of content directness determining whether key facts can be parsed by RAG extractors
- Identification of unverified claims lacking clear data sources or author attribution
STAGE 01 OF 04ACTIVE VIEW
GEO Readiness AuditPHASE 01 OUTCOME
You walk away with
AI Answer Engine Visibility & Entity Disambiguation Audit
A diagnostic report exposing citation blind spots, entity confusion, missing author credentials, and structural barriers preventing AI engine retrieval.
Tested against live multi-model prompt extractions and schema validation tools.
02 · EXTRACTABLE KNOWLEDGE BLUEPRINT
Structuring Clear Entity Statements, Direct Fact Blocks, and Credible Citations
Designs content architectures optimized for RAG ingestion: declarative summary answers, structured data tables, clear author entity schemas, and primary source links.
Inside this phase
- Declarative sentence structure guidelines facilitating unambiguous text extraction by LLMs
- Structured comparison tables and definition blocks formatted for immediate citation inclusion
- Author and organization entity schema with verified SameAs links to external authorities
- Fact-density optimization removing conversational fluff that obscures core technical answers
STAGE 02 OF 04UPCOMING
GEO BlueprintPHASE 02 OUTCOME
You walk away with
Generative Engine Optimization Architecture & Entity Blueprint
A comprehensive structural specification detailing extractable answer formats, entity relationship schemas, author authority markup, and citation structures.
Pre-screened against RAG chunking standards and search engine knowledge graph requirements.
03 · KNOWLEDGE DEPLOYMENT
Deploying High-Extractability Fact Blocks and Entity Knowledge Schemas
Implements declarative answer blocks, optimizes Schema.org structured data, links official knowledge sources, and publishes authoritative summary sections.
Inside this phase
- Direct deployment of structured summary answer blocks above the fold on target pages
- Integration of advanced Article, Person, and About entity schema markup
- Addition of verified citations, mathematical formulas, and primary source references
- Optimization of content formatting with clear markdown tables and bulleted takeaways
STAGE 03 OF 04UPCOMING
Live GEO AssetPHASE 03 OUTCOME
You walk away with
Deployed Extractable Knowledge Base & Semantic Entity Infrastructure
A website content architecture fully optimized for modern AI retrieval systems with verified entity attribution and clean extractable fact blocks.
Verified through live prompt querying on Perplexity and Google Search AI Overviews.
04 · CITATION & AI OVERVIEW TRACKING
AI Overview Presence Tracking and Referral Traffic Monitoring
Monitors brand citation frequency in Google AI Overviews and Perplexity, tracking organic and direct AI referral traffic in GA4.
Inside this phase
- Weekly prompt tracking across top target queries to observe AI Overview citation frequency
- Measurement of referral traffic from AI platforms (ChatGPT, Perplexity, Claude) in GA4
- Continuous updating of factual data points to ensure answer engines cite current statistics
- Iterative refinement of entity schemas as generative search algorithms evolve
STAGE 04 OF 04UPCOMING
Governance ProtocolPHASE 04 OUTCOME
You walk away with
Generative Search Citation Tracking & Entity Governance Protocol
An ongoing monitoring protocol ensuring brand expertise remains cited in AI search outputs and converts high-intent generative traffic.
Governed by verified AI engine citations and growing generative search referral volume.
Connected capabilities
Build around the constraint
FAQ
Before the first conversation
Can Generative Engine Optimization begin with a focused review?
Yes. A bounded diagnosis can establish priorities before implementation or ongoing support is considered.
Are specific results guaranteed?
No. Outcomes depend on the market, offer, systems, data quality, implementation, and conditions outside the engagement.
Discuss your context
Start with the constraint, not a pre-packed solution.
Bring the current account, funnel, workflow, measurement setup, or growth question. The first conversation establishes fit and the useful next step.