Competitive AI Visibility Benchmarking
Competitive AI Visibility Benchmarking shows exactly how your brand performs against a named competitive set inside AI answers, and why. It runs a fixed prompt panel every quarter, ranks every player in the category by mention and recommendation rate, and attributes each movement to a specific change in the evidence base.
How the benchmark is built
We define a competitive set with you — usually the incumbents, the challengers you keep losing to, and any brand the models already name in your category, which is often not the list you expected. A fixed panel of buyer-stage prompts is run repeatedly across all six assistants and coded identically for every brand. The result is a like-for-like league table rather than a self-reported score.
Movement attribution
The value is in the why. When a competitor gains share we identify the source: a new analyst mention being cited, a documentation page that models find easy to quote, a knowledge-graph correction, a review-site record that changed. That turns the benchmark into an intelligence product — you can see which plays are working in your category before you commit budget to your own version of them.
Using benchmarks internally
Teams use the quarterly benchmark for planning and for internal alignment. It reframes GEO investment as a competitive position rather than an experiment, and it gives product marketing an evidence-based view of how the category is being described to buyers who never visit any vendor's website.
Related services
GEO Audits
A diagnostic baseline of how AI assistants currently see, cite, and rank your brand.
AI Visibility Assessments
Ongoing tracking of mention rate, citation share, position, and sentiment against a defined competitive set.
LLM Recommendation Optimization
Move from ‘mentioned’ to ‘recommended’ — engineering the signals behind conversational endorsements.
Ready to see where competitive ai visibility benchmarking would move the needle?
Start with a GEO Audit scoped to your category, prompts, and competitive set.