By industry

Every industry asks AI a different question.

And every industry loses the answer for a different reason. Pick yours to see what outside research says, and what a MentionX scan would measure.

B2B SaaS & Technology
Vendor study
<0%
of the variation in AI citations explained by review volume
G2 / Profound, 30,000 citations, 500 software categories
Seven industries

One fact per industry. The rest comes from your scan.

1Vendor study
B2B SaaS & Technology
<0%
of the variation in AI citations explained by review volume
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2Vendor study
E-commerce & Retail
0%
of Google AI Overview citations were retailers
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3Vendor study
Financial Services & Fintech
0%
of personal finance answers were inaccurate across 18 AI models
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4Directional only
Healthcare & Clinics
0
one-to-one interviews behind the closest study we found
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5Vendor study
Travel & Hospitality
0%
of citations came from online travel agencies
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6Agency study
Professional Services
~0%
of mentions went to the top three firms per city and practice
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7Honest gap
Education & EdTech
0
independent studies found on how AI recommends courses or schools
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Not listed?
Paste any URL. Prompts are discovered from the site, not picked from a list.
Figures are third-party studies, many from vendors with something to sell. They are hypotheses, not MentionX results. Your first scan replaces them with your own numbers.
The same loop in every industry
1
Ask
Buyer-style prompts, found from your URL.
2
Store
Every engine answer and citation, kept as evidence.
3
Find the gap
Which page, which question, which rival.
4
Fix and prove
An ordered fix list, then a rescan.

Skip the research. Scan your own URL.

Stored engine answers before scores. No fabricated query volumes.

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