What is review site intent?

Review platforms like G2, TrustRadius, Capterra, and Gartner Peer Insights collect detailed behavioral data from every buyer who visits their sites — page views, time on page, features explored, comparisons initiated, and pricing sections opened. Because buyers sign in or are cookied, the platform can resolve activity to the company level (via IP-to-company resolution and login data), creating a verified, purchase-stage record of who is researching what.

Vendors access this data by subscribing to the platform's intent program (G2 Buyer Intent, TrustRadius Downstream Intent, Capterra's intent offering, etc.). The vendor receives a feed of account-level signals — typically refreshed daily — that can be routed into a CRM, ABM platform, or sales engagement tool via native integrations (Salesforce, HubSpot, 6sense, Demandbase).

Signals are categorized by type and assigned an activity level or buying-stage score. G2, for instance, groups signals into three high-level buckets — Indirect Interest (category browsing), Direct Interest (product profile views, pricing page visits, compare grid clicks), and Competitive Interest (competitor comparisons, alternatives views) — each carrying a different implied urgency and optimal response window.

The key distinction is data provenance. Third-party intent data (Bombora's Company Surge, for example) aggregates behavioral signals across a co-op of thousands of B2B publisher sites — broad market coverage, lower fidelity per signal. Review site intent comes from a single, purpose-built evaluation platform, so every signal is by definition purchase-stage: the buyer has already identified a category need and is vetting specific vendors.

TrustRadius describes this as 'downstream intent data' — activity that sits downstream in the funnel compared to topic-level research. The platform reports that TrustRadius and G2 audiences overlap by only about 20%, which means running both programs in parallel can materially expand your coverage of in-market accounts without duplicating the same signals.

The tradeoff is scope. A company researching your category in places that aren't on a major review platform will be invisible to review-site intent programs. And because the data is account-level — not contact-level — teams always need an additional enrichment step to identify which individual at the flagged company is doing the research.

The evidence is directionally positive but context-dependent. Dreamdata's attribution benchmarks found that G2 intent signals appear in 12% of closed-won deals, that influenced deals are 2x larger on average, and that buyer journeys starting on a review site are 63% shorter than those originating from other channels. Impact.com reported reducing cost-per-lead from $120 to $53 — a 56% reduction — after integrating G2 Buyer Intent into their demand-generation workflow.

Broader intent data research urges caution about overreliance on any single signal source. DemandScience's 2026 State of Performance Marketing report (surveying 750 senior B2B marketing leaders) found that 87% of organizations report unreliable or inflated intent signals in their stack, and only 26% of intent signals across providers convert into qualified opportunities. The implication is that review site intent is most powerful when layered with ICP fit scoring, recency filtering (signals older than 14 days decay quickly), and enrichment to find actual decision-makers.

The single biggest variable is speed. Industry benchmarks consistently show meeting booking rates of 3–5% for teams acting on high-intent signals promptly, versus 0.5–1% for cold outbound — but that window collapses quickly. Beyond 48 hours, the prospect is likely already in conversations with other vendors and the competitive advantage of the signal is effectively gone.

G2 Buyer Intent is the largest and most commonly used program. In early 2026, G2 acquired Capterra, Software Advice, and GetApp from Gartner, creating a combined network reaching 200+ million annual software buyers with nearly 6 million verified reviews. The combined platform is now the dominant source of review-based intent data for mid-market and enterprise software in sales, marketing, and IT categories, with signals grouped into three tiers: Indirect Interest, Direct Interest, and Competitive Interest.

TrustRadius Downstream Intent skews toward enterprise buyers and longer-form review content — average review length exceeds 400 words, and TrustRadius applies a rigorous fraud-screening process that rejects nearly half of all submitted reviews. In June 2025, TrustRadius was acquired by HG Insights, combining review-based intent with technographic and market intelligence data. TrustRadius and G2 audiences overlap by only about 20%, making them complementary rather than redundant data sources.

Gartner Peer Insights serves enterprise procurement contexts where formal shortlisting and Gartner analyst involvement shape the evaluation process. It skews to larger organizations and deals where procurement rigor is high — making signals from this platform less frequent but often indicative of a formal RFP or board-level technology decision.

Coverage gaps are the primary structural limit. If your ICP doesn't heavily use G2 or TrustRadius for research — niche verticals, emerging technology categories, or buyers who rely on analyst relationships and peer networks — signal volume will be low regardless of subscription tier.

Account-level resolution without contact data is a consistent friction point. G2 and TrustRadius surface the company, not the individual. Sales teams must invest enrichment effort (tools like Clay, Apollo, or LinkedIn Sales Navigator) to identify which buying-committee members are likely responsible and to surface a valid outreach sequence. IP-to-company resolution also degrades when employees use VPNs or remote work setups.

Finally, review site intent is reactive by design — it only captures buyers who are already searching. It cannot surface accounts in your total addressable market that haven't begun formal evaluation yet. For proactive pipeline creation, it must be combined with other signal types (job-change alerts, funding signals, hiring surges, technographic signals) rather than used as a standalone source.

Komo monitors review site intent signals — alongside job-change alerts, funding announcements, hiring surges, and technographic changes — as part of its continuous signal layer. When an account in your ICP shows a high-confidence review site event (a competitor comparison, a pricing page view, or a spike in category browsing), Komo surfaces it as a prioritized trigger with context: who the account is, what they were comparing, and why that matters for your pitch.

From there, Komo's human-in-the-loop model kicks in. Rather than firing an automated sequence the moment a signal arrives, Komo prepares a researched, personalized outreach draft — pulling in the account's funding history, tech stack, and relevant case studies — and presents it to the rep for review and approval. The rep sends; Komo monitors follow-up engagement and surfaces re-engagement cues. This keeps response time well inside the critical 48-hour window without sacrificing the message quality that converts a high-intent signal into a booked meeting.

For competitive displacement specifically — when a target account is researching alternatives to a competitor you can displace — Komo can pre-stage positioning briefs and draft comparison-based messaging so the rep is ready to move the moment the signal lands.