TL;DR:
Evaluate-platform quotation share will increase meaningfully with stronger buy intent, primarily based on an evaluation of ~35,000 ChatGPT quotation URLs captured in Profound. Inside these citations, G2 and its lately acquired manufacturers — Capterra, Software program Recommendation, and GetApp — collectively command 84% share of citations within the review-platform class. This confirms that as consumers transfer deeper into the funnel, AI fashions more and more depend on the verified peer-generated sources discovered throughout the G2 portfolio to tell their suggestions.
Why this issues
The client journey not begins with a demo request; it begins with a immediate. As a result of citations are one of many few observable proof layers behind an AI suggestion, they signify the place a model should present as much as be thought-about.
AI solutions point out software program distributors by design. The extra fascinating query is which third-party sources these solutions cite. If evaluation platforms are cited extra as intent strengthens, that helps the concept verified opinions and purchaser proof turn out to be extra influential deeper within the funnel.
Speculation
As intent energy will increase, the likelihood {that a} evaluation website (akin to G2 or TrustRadius) is cited will increase greater than for vendor websites or different third events.
Methodology
Information and scope:
- Supply: ~35,000 Profound citations
- Protection: US solely, ChatGPT solely
- Time window: December 2025
1) Assign intent to every immediate
Every immediate was categorized into one mutually unique person journey step (for instance: discovery, exploration, analysis, centered analysis, or different), then normalized right into a immediate key and mapped to a single intent.
|
Journey Step |
Description |
Intent energy |
# prompts |
% |
|
Discovery |
“What’s …?” type, studying what a class or idea is |
Low |
376 |
11.8% |
|
Exploration |
“Which …” questions on integrations, capabilities, tradeoffs, normally searching for 1–few suits |
Medium |
1,179 |
37.1% |
|
Analysis |
Generic “finest/high” lists with out sturdy constraints |
Excessive |
1,367 |
43.0% |
|
Focused_evaluation |
“Finest/high” with express constraints (phase, use case, setting, efficiency, and many others.) |
Very excessive |
255 |
8.0% |
2) Convert citations into analyzable models on the area degree
For every quotation URL, I extracted the basis area and categorized it right into a website kind:
- review_platform (G2, Capterra, GetApp, Software program Recommendation, TrustRadius, Gartner as evaluation context)
- ugc_platform (Reddit, Wikipedia, Quora, YouTube, LinkedIn)
- writer (media, blogs, editorial websites)
- vendor_or_other (distributors plus all the things not mapped explicitly)
3) De-duplicate domains inside every run
- To keep away from a single response over-weighting a website by way of a number of URLs, I de-duplicated to 1 file per run_id × intent × area.
4) Compute shares
- Main view: For every intent stage, compute the share of distinctive cited domains by website kind.
- Secondary view: Inside the review_platform subset, compute share by evaluation area (G2 vs Capterra vs others), general, and by intent.
Outcomes
A) Quotation combine by website kind
Distributors dominate citations in each stage (about 67% to 74%). That is sensible as a result of the prompts we checked out requested for distributors.
|
Intent |
Writer |
review_platform |
ugc_platform |
vendor_or_other |
|---|---|---|---|---|
|
Discovery |
4.5% |
7.4% |
17.8% |
70.4% |
|
Exploration |
2.4% |
7.7% |
18.2% |
71.8% |
|
Analysis |
4.9% |
13.2% |
15.1% |
66.7% |
|
Focused_evaluation |
4.7% |
8.4% |
17.2% |
69.6% |
|
General |
4.0% |
8.6% |
17.1% |
70.4% |
Nonetheless, the nearer we get to a purchase order within the purchaser journey, the extra prevalent and influential platforms like G2 turn out to be, because of a big share of genuine peer opinions and UGC. Evaluate-platform quotation share rises to 13.2%, roughly 1.8× discovery’s 7.4%. In the meantime, distributors see decrease affect on these choices at this similar stage.
Evaluate platforms are cited greater than publishers (8.6% vs 4.0%).
B) Evaluate-platform share break up by model
Inside review-platform citations, G2 is essentially the most incessantly cited area by a large margin on this pattern and timeframe.
Since G2’s acquisition of Capterra, Software program Recommendation, and GetApp, it has established a dominant presence in AI-driven discovery. Right here is the mixed general share throughout main evaluation domains:
- G2 ecosystem (g2.com + acquired manufacturers): 84%
- gartner.com: 13%
- sourceforge.internet: 2%
- trustradius.com: 1%
- trustpilot.com: ~0%
This means that AI citations from evaluation websites are a robust bottom-of-funnel lever for software program distributors, significantly after they come from a significant participant like G2.
Win with belief
The information confirms that evaluation websites are best on the backside of the funnel. When software program consumers attain the analysis stage of their journey, the suggestions they see from AI more and more stem from trusted peer proof sourced from platforms like G2.
With G2’s now important affect on LLM citations and AI search visibility, there’s a sturdy case for distributors to keep up a gentle presence throughout the G2 ecosystem. This ensures that when AI seems to be for the ultimate layer of proof to advocate a product, it finds a wealth of genuine buyer voices.
