One finding changed how I think about the entire category.
I spent the past week running the first AI Visibility Benchmark. 50 enterprise B2B companies across 5 sectors (Enterprise SaaS, Management Consulting, Financial Services, Professional Services, Technology / IT Services). Each one scored across 4 dimensions using the AI Visibility Framework.
I expected the scores to vary across all four dimensions.
They did not.
Three dimensions were consistently strong. One was consistently weak. And that one dimension explains almost everything.
The numbers
Overall averages (50 companies):
Citation Presence: 13.7/25 (weakest)
Entity Recognition: 23.4/25
Content Structure: 20.1/25
Citation Breadth: 25.0/25
22 out of 50 companies (44%) scored just 2/25 on Citation Presence.
AI knows who these companies are (23.4/25). It can find them mentioned across independent sources (25/25). It can read their websites (20.1/25).
But when a buyer asks "who are the best firms for [service]," AI does not name them.
The sector gap
Sector | Score | Citation |
|---|---|---|
Enterprise SaaS | 89.8 | 24.4/25 |
Financial Services | 85.3 | 14.3/25 |
Professional Services | 80.8 | 12.0/25 |
Management Consulting | 77.9 | 10.0/25 |
Technology / IT Services | 77.3 | 8.0/25 |
SaaS companies score 24.4/25 on citation. IT Services companies score 8.0. That is a 3x gap on the single dimension that determines whether buyers find you through AI.
Why? SaaS companies are compared in buyer guides, review platforms, and competitive analyses across the web. This creates a citation pattern that AI replicates. Professional services and IT companies are rarely compared this way.
The quality of your work does not determine your AI visibility. The structure of how you are referenced does.
What this means
If you work in enterprise marketing, this data tells you three things:
1. Being known is not the same as being recommended.
Your company can have perfect entity data, strong content, and broad citations. AI still will not recommend you unless it has a pattern of seeing you named in the context of category-level recommendations.
2. The fix is not more content. It is different content.
The companies scoring 90+ are not producing more content. They are appearing in comparison content, recommendation articles, and category-level queries that other sites publish. That creates the citation signal AI needs.
3. Citation Presence is the leading indicator.
Every company scoring 90+ had Citation Presence of 22/25 or higher. Every company below 70 had Citation Presence of 2. If you only measure one dimension, measure this one.
Check yours
Two ways:
Free: The AI Visibility Scorecard scores your company across all 4 dimensions in under 5 minutes.
Professional: The AI Visibility Audit is a full 4-dimension audit scored 0-100 with a prioritised fix plan. PDF delivered within 48 hours. £297.
Full research
The complete AI Visibility Benchmark 2026 is published with full methodology, sector breakdowns, and individually citable stats:
Every stat in this newsletter links back to that research page. If you want to reference any of this data, link to the source.
Until next time,
Oloye
Marketing Manager, Enterprise & Automation. Founder, GTM Signal Studio.