Services

A Complete Framework for AI Visibility

Nine disciplines, one integrated program. Designed for enterprise marketing leaders who need rigor, measurement, and senior delivery.

A diagnostic baseline of how AI assistants currently see, cite, and rank your brand across the six major surfaces. Includes prioritized roadmap.

Ongoing tracking of mention rate, citation share, position, and sentiment against a defined competitive set.

Move from ‘mentioned’ to ‘recommended’ — engineering the signals that drive conversational endorsements.

Build the off-brand evidence base — citations, third-party endorsements, and structured authority — that LLMs weigh most heavily.

Fix the entity, schema, and graph layer behind every confident AI answer. Wikidata, schema.org, structured profiles.

Editorial and structured content designed for parseability, citation, and summarization — not just ranking.

Cross-platform dashboards translating AI visibility into board-level metrics: share of voice, pipeline influence, brand authority.

Quarterly competitive benchmarks across the prompts that matter to your buyers, with movement attribution.

Ongoing operational program: monitor, intervene, report — handled by a senior team, quarter after quarter.

How we work

A four-stage program built for enterprise pace.

Visibility baseline, citation analysis, gap mapping across all six AI surfaces.

Prioritized roadmap aligned to your category, buyer prompts, and board metrics.

Signal engineering, knowledge graph fixes, AI-ready content production.

Continuous tracking, quarterly benchmarking, executive-grade reporting.

Best for diagnostics

Defined scope, fixed timeline. Ideal for a GEO Audit, knowledge graph overhaul, or one-off content systems build.

Best for category leaders

Continuous program with a senior pod. Monitoring, quarterly benchmarks, and ongoing signal engineering.

A focused, two-week diagnostic that anchors every program we run.