How to read these benchmarks
These benchmarks reflect the AI Visibility Scores of brands tracked by ArtificialPulse across each industry. Worth noting: "category leader" scores reflect the top 1-3 brands in each sector. "Average" reflects mid-tier brands that have not actively worked on AI visibility.
A brand scoring above the category leader benchmark has exceptional AI visibility. A brand scoring near the average? That's where the opportunity is.
B2B SaaS
Industry guide →Leader score
68–78
Average score
25–40
Bottom quartile
5–20
Primary signals: G2 reviews, analyst coverage, comparison articles
Healthcare (providers)
Industry guide →Leader score
61–72
Average score
24–38
Bottom quartile
5–18
Primary signals: Healthgrades, national rankings, accreditation
Financial services (consumer)
Industry guide →Leader score
65–74
Average score
28–42
Bottom quartile
8–22
Primary signals: NerdWallet, Bankrate, review platforms
Ecommerce (consumer)
Industry guide →Leader score
62–78
Average score
18–32
Bottom quartile
3–14
Primary signals: Editorial review sites, Amazon reviews, affiliate articles
Professional services (legal)
Industry guide →Leader score
44–58
Average score
18–30
Bottom quartile
4–14
Primary signals: Avvo, Martindale, Super Lawyers, Google reviews
Travel & hospitality
Industry guide →Leader score
58–72
Average score
22–38
Bottom quartile
5–18
Primary signals: TripAdvisor, travel media editorial, awards
Real estate
Industry guide →Leader score
48–65
Average score
19–34
Bottom quartile
4–16
Primary signals: Zillow, Google reviews, regional press
Franchise brands
Industry guide →Leader score
55–72
Average score
30–46
Bottom quartile
12–24
Primary signals: Franchise 500, aggregate reviews, Wikipedia
Nonprofits
Industry guide →Leader score
44–60
Average score
16–28
Bottom quartile
2–12
Primary signals: Charity Navigator, GuideStar, press coverage
B2B services (consulting, agencies)
Industry guide →Leader score
38–52
Average score
12–24
Bottom quartile
2–10
Primary signals: Industry rankings, Clutch, thought leadership
What drives the cross-industry variance
Query volume and search behavior
Industries where consumers actively research before purchasing (SaaS, consumer finance, travel) have higher average scores because more players have been incentivized to build web presence. Low-query industries like B2B consulting have lower averages.
Review platform maturity
Industries with established review platforms (G2 for SaaS, TripAdvisor for travel, Avvo for legal) have clearer AI signal hierarchies. Brands in those industries know where to build their review presence.
YMYL constraints
Healthcare and financial services AI models apply extra caution, leading to more qualified recommendations. Scores reflect appearance rate even with these constraints - but sentiment and qualification differ.
Number of competing brands
Niche industries have fewer competing brands - achieving a high AI Visibility Score requires building absolute signal quality, not just outcompeting others. Broad consumer categories are competitive enough that relative position matters more.
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