Original research · In progress
2027 B2B AI Search Visibility Benchmark
Which B2B brands do AI engines actually recommend — and what do the winners have in common? We are measuring 100 brands across four engines with a published, repeatable method.
Get early access
Receive the report on publication day. Want your brand included? Say so in the form.
01Methodology
How the benchmark works.
Designed so results can be reproduced, challenged and tracked over time.
100
B2B brands across 10 software and services categories
500
buyer prompts: problems, shortlists, comparisons, pricing
4
engines: ChatGPT, Google AI Overviews / AI Mode, Gemini, Perplexity
3×
runs per prompt per engine, fixed locale (en-US), logged-out
02Metrics
What we measure.
- Share of voice — share of sampled answers that mention each brand, by engine and category
- Mention position — average rank when brands are listed
- Citation rate — share of answers that link to the brand’s own domain
- Cited-source mix — owned, review sites, publishers, forums, documentation
- Readiness factors — crawler access, structured data, server rendering, content formats
- Correlations — which readiness factors travel with higher visibility (correlation, not causation)
03Research series
What we are publishing next.
2027 B2B AI Search Visibility Benchmark
100 SaaS brands: exposure rankings in ChatGPT, Gemini and Perplexity
Google Ads vs. AI search: which channel produces more SQLs?
AI Citation Sources Study: where engines get their answers
B2B GEO Pricing Benchmark
100 high-converting B2B prompts dataset
Next step
See where AI recommends your competitors instead of you.
Run the instant AI-readiness check in 30 seconds. Our strategists follow up with a prompt-level audit across ChatGPT, Google AI, Gemini and Perplexity within 48 hours.