Maximize Brand Citations Across ChatGPT, Perplexity, Gemini & Google AI Overviews
Adjust the parameters below to see the compounding impact of our AI Search Optimization (LLMO & GEO) execution.
Structure your organization, products, and leadership in Wikidata and Schema.org graph definitions for instant LLM ingestion.
Deploy optimized machine-readable markdown indexes explicitly tuned for AI search crawlers.
Publish primary research, benchmark studies, and statistical blueprints that LLMs prioritize for factual citations.
Track hundreds of high-value industry prompts to monitor citation frequency, competitor visibility, and sentiment.
Map your core topics into high-density semantic vectors that align with retrieval-augmented generation pipelines.
Shield high-value organic search terms against hallucinated competitor mentions through verified technical schema.
Standard contractual scopes and verified deliverables for client retainers
| Service Deliverable | Cadence / Scope | Performance Standard | Client Output Format |
|---|---|---|---|
| Full Architecture & Telemetry Audit | Week 1 Kickoff | 100-point Google Quality Rater & CWV framework | Interactive Notion / PDF Diagnostic Report |
| Production Technical Implementation | Sprint Cycles (Bi-weekly) | Direct Git Pull Requests or Developer Spec Tickets | Verified staging branch PR & live validation |
| Performance Telemetry & Rank Tracking | Continuous 24/7 Monitoring | Real-time CrUX, Search Console & AI citation tracking | Live Looker Studio Dashboard & Monthly Review |
Comprehensive scan of how ChatGPT, Claude, Perplexity, and Google AI currently perceive and cite your domain.
Deployment of structured JSON-LD entity graphs, llms.txt directives, and authoritative brand footprint.
Publishing semantic topic clusters engineered with unique data points that AI engines use for summaries.
Continuous prompt testing, sentiment optimization, and citation rank tracking across all major AI search providers.