Influence the models
We map unstructured data footprints and engineer trusted context to ensure your brand is cited during critical LLM retrieval phases.
The optimization pipeline
Our consulting framework restructures your corporate data footprint to align directly with retrieval-augmented generation models.
Vector mapping
Context engineering
Citation tracking
We query model parameters to isolate critical training blind spots and identify where your brand is omitted from recommendations.
We format unstructured corporate assets into highly authoritative schemas that RAG pipelines prioritize during real-time retrieval.
We continuously measure your brand citation rate across major LLMs to verify placement and defend share of voice.
Enterprise validation
Model visibility results
Our structured context injection achieved a 310% increase in citation rates across Claude and Perplexity, securing top-three vendor recommendations.
A multi-billion dollar enterprise was entirely omitted from ChatGPT recommendations. Within ninety days of deployment, our GEO playbook established dominant share of voice.
Verified tracking data shows sustained retrieval placement even after subsequent model training updates.
Map your visibility
Receive a custom diagnostic report analyzing your current citation rate across major generative engines. Our enterprise team will outline your immediate optimization path.