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B2B Review Sites Are Worth Setting Up

IN ONE SENTENCE
Review sites are cited heavily on B2B decision queries because those questions want a third-party view, and that is precisely what a review profile provides.
Several studies find review sites cited heavily on B2B queries, with Perplexity leaning on them in particular. The reason is straightforward: decision-stage questions want a third-party view, and review sites provide exactly that in structured form.
OUR POSITION
The profile is controllable; the reviews are not. So do the profile and its completeness properly — that part is entirely yours — and let review volume follow genuine customer willingness. No incentivised reviews, no ghost-written ones.
What to finish when setting up
Completeness: capabilities, applicable scenarios, integrations, pricing model as far as it is public. Missing fields get you skipped in comparison contexts.
Descriptions matching the site. A profile that disagrees with your own site manufactures a new conflicting signal.
The right category. The wrong one puts you in irrelevant comparisons, which neither converts nor helps recognition.
How to grow reviews
Only real customers, and only named ones. Anonymous reviews contribute little to credibility, while named ones double as entity signal.
⚠️ Do not trade discounts or rebates for reviews — platform rules generally prohibit it, and being caught costs the profile's credibility.
Cadence beats volume: a steady stream over time reads as genuine use in a way a single batch does not.
The boundary on commitments
Only inputs can be committed here: profile completeness, the solicitation process, follow-up cadence. Review counts and ratings cannot — those belong to customers.
In internal review, separate profile completeness from review volume so a customer's decision is not scored as execution.
Data behind this page
Reddit 40.1% · Wikipedia 26.3% · YouTube 23.5%
The three most-cited source types
Source:Semrush, 150,000+ citations across 5,000 keywords,2025-06
Sources
- [1]GEO: Generative Engine Optimization.Aggarwal et al., KDD 2024.2024
Updated 2026-08-10