01
AI Visibility Intelligence
Introduction to an AI visibility intelligence report for a 20+ year established low visibility HR agency in the South East of England.
M E A S U R E M E N T & A T T R I B U T I O N:
Four-tier KPI architecture: Core Visibility, Competitive Intelligence, Entity Health, and Business Impact. Executive dashboard with five KPI cards, competitive Share of Voice chart, 90-day citation trend line, and three-priority action panel.
Where this creates leverage - CMOs and digital leaders who need to justify AI visibility investment to a board, and e-commerce teams preparing a category defence before a major competitor accelerates.
Solution 01
This capability establishes a single, defensible source of truth for how AI sees your brand.
Most brands have no reliable measurement of how AI assistants and agents describe them, rank them, or recommend them. Without that baseline, decisions rest on assumption. We establish a precise, multi-platform benchmark — built on a four-tier KPI stack — so leadership has a defensible foundation before committing resources.
We model the AI ecosystem as a network of interconnected sources: assistants, publications, review platforms, community hubs, and knowledge graphs. Each node carries a different weight in determining what AI says about your category. The benchmark tells you which nodes currently work in your favour, which work against you, and where the competitive gap is largest.
W H A T W E D E L I V E R:
Multi-platform audit across ChatGPT, Perplexity, Google AIO using structured prompt sets mapped to commercial intent stages
Share of Voice, Citation Rate, Brand Presence Rate, and Average Position quantified against three to five named competitors
Entity technical health scoring: schema coverage, Knowledge Panel integrity, Wikidata completeness, and AI-bot crawl access
Competitive scoring tables with current values, target benchmarks, and gap indicators by platform