Do G2 & Capterra Reviews Influence ChatGPT Recommendations?

Getting more reviews on G2 and Capterra will not reliably change which software ChatGPT recommends, but having a profile on them probably helps you get considered. A G2-run analysis of 500 categories found review counts explain under 2 percent of the variation in ChatGPT citations, and other studies disagree on whether these sites are cited at all.

That holds for broad software-category prompts in ChatGPT with web search. Review sites matter more when a buyer is already comparing named products, and where your buyers use G2 or Capterra themselves.

Most datasets behind these numbers were published by a company that sells AI-visibility tools, PR or review-platform services. None is clearly independent, and no study here proves that a missing profile excludes a product.

What The Evidence Says About Reviews And ChatGPT Recommendations

Six recent studies try to answer this question. They disagree, and each one comes from a company with something to sell. So the table names the publisher and what it sells next to every result. Read the interest before you read the number.

The sources, one at a time.

• DerivateX: The agency found zero G2 or Capterra citations across 233 ChatGPT software recommendations, and vendor-owned comparison posts supplied about half of the cited sources.
• G2: In an analysis of 30,000 citations, review count explained very little of the variation in ChatGPT citations, with an R-squared of about 0.009.
• SupaIntent: Across 167,514 AI answers, g2.com was cited in 9.4 percent of ChatGPT answers and capterra.com in 4.0 percent.
• AuthorityTech: G2 was the most-cited review domain in 64 of 8,343 ChatGPT runs, ahead of Capterra and Software Advice.
• Promptwatch: In a one-week snapshot, G2 received 0.73 percent of ChatGPT software citations and Capterra 0.32 percent.
• Quoleady: A March 2026 presence study looked only at tools ChatGPT already recommends, which limits what it can prove.

Review volume looks weak, profile presence looks plausible, and the share of ChatGPT citations going to G2 and Capterra looks small. The studies conflict on whether G2 and Capterra are cited at all, and the difference between a citation and a mention is covered in getting cited in AI answers.

Which Review Sites Does ChatGPT Cite?

G2 comes first in every study that found any review-site citations, and the percentages cannot be lined up against each other. Each study divides by something different, so a bigger number in one tells you nothing about another.

G2 is the most-cited review domain in ChatGPT software answers in the SupaIntent data, which cited g2.com in 9.4 percent of 167,514 AI answers between 1 August and 4 November 2026. In the same dataset, 15.5 percent of ChatGPT answers cited at least one review platform. AuthorityTech's index reaches the same ranking with a far smaller number; it divides by runs, not answers.

The page types matter more than the share. Of the G2 citations in the SupaIntent dataset, 48 percent were product review pages and 19 percent were category ranking pages, rather than the vendor's own profile. About two thirds of G2 citations in this dataset were review or category ranking pages.

Capterra gets less. SupaIntent reports capterra.com in 4.0 percent of answers, and its Capterra citations split between review pages and product or pricing profiles. Promptwatch puts Capterra at 0.32 percent of ChatGPT software citations in its 28 September to 4 October 2026 snapshot, less than half of G2's 0.73 percent.

Presence Versus Volume: What Actually Moves ChatGPT Rankings

Inclusion means ChatGPT names your product when asked; rank means where it appears in the list. Most of the argument about reviews comes from mixing the two up.

On volume, G2's analysis of 30,000 citations across 500 categories found review count explained under 2 percent of the variation in ChatGPT citations, an R-squared of about 0.009. That speaks to how much extra volume buys. It does not say whether having a profile at all matters.

On presence, review-site presence appears to get a brand into ChatGPT's candidate list and shapes how it is described, while review score and count show weak correlation with where the brand ranks. That is the reading in Promptwatch's 28 September to 4 October 2026 snapshot, where G2 held 0.73 percent of ChatGPT software citations. A Quoleady study of dozens of ChatGPT-recommended SaaS tools found 100 percent had Capterra reviews and 99 percent had G2 reviews. Take that one lightly, because the sample is small and the publisher is not independent.

None of this proves a missing profile keeps you out. The Quoleady study examined only tools ChatGPT already recommends, so it cannot show what happens to a tool without a profile. That is survivorship, and it is the main reason to say "plausible" and not "proven".

So where does rank come from? Reviews are one input among many, and AEO strategy for B2B SaaS covers the rest. If you want a team working on all of it, Generative Engine Optimization is the service built for that.

How Many Reviews Do You Need?

No study reports a review count at which ChatGPT starts recommending a product. G2's analysis reports no threshold, so anyone quoting you a magic number is guessing.

What the analysis does report is an elasticity. A 10 percent increase in reviews was associated with about a 2 percent increase in citations at the upper confidence bound. The log-log coefficient was 0.097, with a 95 percent confidence interval of 0.004 to 0.191, so the point estimate implies about 1 percent. The low end of that range is close to no effect at all.

Take round numbers you can swap for your own.

• A profile with 40 reviews: Adding 4 reviews is a 10 percent increase, worth about 1 percent more citations at the point estimate and at most about 2 percent.
• A profile with 400 reviews: Adding 40 reviews is the same 10 percent increase, with the same expected gain.

The percentage is what counts, so the same gain costs ten times as many reviews on the bigger profile. And a 1 percent gain on a small base of citations is still small. If you are thinking about review volume as a way to move ChatGPT, the arithmetic says it is slow, and it says so in G2's own numbers.

A profile with 400 reviews is not a profile ChatGPT is waiting to recommend, and a profile with 40 is not one it ignores. The data cannot say where either sits. Use your own test, described below, to see whether products with fewer reviews than yours get named in your category.

Why The Studies Disagree

One study found no G2 or Capterra citations and others found G2 to be the top review domain. Three things explain most of the gap.

• Different denominators: DerivateX counted citations inside 233 ChatGPT software recommendations, SupaIntent counted share of AI answers, AuthorityTech counted share of runs and Promptwatch counted share of citations.
• Different windows and samples: The studies cover 40 B2B SaaS categories in June 2026, 500 G2 categories, and a one-week snapshot in late September 2026, so they were never going to produce matching figures.
• Publishers with a stake: DerivateX is an agency, and G2, SupaIntent, AuthorityTech and Promptwatch each sell review services, PR or AI-visibility tooling, which means each has a reason to frame its result a certain way.

Some analyses report near-universal G2 and Capterra presence on recommended tools while others report almost no direct citations. Both can be true at once, because being present on a site and being cited from it are different things.

It is safe to conclude that ChatGPT sometimes cites G2 and Capterra, that the share is small wherever it is counted, and that no study here proves reviews cause recommendations.

Do Review Sites Matter More At The Buying Stage?

Somewhat, yes. In a G2-authored analysis of about 35,000 ChatGPT-cited URLs, from December 2025 and published on 13 February 2026, review platforms made up 7.4 percent of cited domains for discovery prompts and 13.2 percent for evaluation prompts.

That fits what you would expect. A buyer comparing named products is asking questions that review pages answer well, such as how two tools differ and what customers say about support. A buyer asking a broad question gets vendor content and everything else. If your buyers mostly arrive already comparing two or three names, the evaluation figure is the one to weigh. If they start from a blank question, the discovery figure is closer to your reality.

Two cautions. Both the analysis and the survey below come from G2, which sells review services. And the same analysis found vendor and other sites still dominated citations at every stage, so review platforms are a minority of the sources even where they rise.

On buyer habits, a G2 survey of 1,000-plus B2B buyers in August 2025 reported that 87 percent said AI chatbots are changing how they research software, and about half reportedly start there. A review platform ran that survey, and the "about half" figure is reported rather than shown, so lean on the direction and not the exact share.

G2 And Capterra Profiles: What Each One Gives You

Both profiles are table stakes. Neither guarantees a recommendation, and both take time rather than budget.

The vendor does not control what customers write or how a category is ranked, which is why the profile alone is not the whole job.

On ownership, G2 announced on 29 January 2026 that it would acquire Capterra, Software Advice and GetApp from Gartner. No study here measures whether that changes how ChatGPT cites either site, so do not plan around it.

The Other Software Review Sites Worth Knowing

This research gives no ChatGPT citation data for the sites below, beyond the Gartner Digital Markets ownership link. So there are no rankings and no figures here, only a plain view on when each is worth the effort.

• Software Advice: A software review and recommendation site, worth a profile if your buyers are small and mid-sized businesses researching tools.
• GetApp: A software directory in that same group, worth claiming if you already maintain a Capterra profile because the work overlaps.
• TrustRadius: A B2B software review site, worth the effort when your buyers are larger companies and your sales calls show them checking it.
• Gartner Peer Insights: Gartner's own review platform, worth considering when your buyers lean on Gartner research in enterprise deals.

If review sites are a lead channel for you in their own right, separate from AI citation, read about review platforms as an alternative to traditional SEO.

Is Review-Site Work Worth The Budget? A Decision Rule

Claim and complete your free profiles, do not buy volume or placement for AI-citation reasons alone, and spend more when your own buyers shortlist on these sites.

The rule leaves things out on purpose. It does not tell you to chase a review count, because the evidence gives no count to chase. It does not tell you to ignore review sites either, because a claimed profile is the one move the studies keep pointing at. There are two ways to misread this. You can spend heavily on volume expecting ChatGPT to respond, or you can skip the profiles because one study found no citations. Both readings go further than the data allows.

The rule is simple on purpose, and it cannot tell you three things. It cannot tell you what a review costs you, because no cost benchmark here was verified. It cannot tell you whether a missing profile excludes a product. And it says nothing about Google AI Overviews, which none of these studies measured.

If the answer for you is that reviews are not enough, the wider list is in how to get your SaaS recommended by ChatGPT. To size the prize before you spend, see how much traffic ChatGPT sends B2B SaaS sites.

Run The Same Test On Your Own Category

No neutral test exists for your category, and we have not run one ourselves. So run it. It takes an afternoon, and it beats trusting any vendor's number, including the ones above.

1. Pick one product category and write the prompts your buyers actually use, including broad "best software for" prompts and comparison prompts that name two or three products. Record the exact wording.
2. Run each prompt in ChatGPT with web search turned on, several times, in fresh chats. Record every run, because the same prompt can return different answers.
3. List every product named, where it sits in the answer, and every domain cited.
4. Mark which cited domains are review sites, and note the page type each time, whether a review page, a category ranking page or a vendor profile.
5. Pull each named product's review count and star rating from G2 and Capterra on the same day, and write them beside the product.
6. Compare the two lists. Check whether the most-mentioned products have the most reviews, whether ranking tracks rating, and whether low-review products appear at all.
7. Repeat the whole test after any review push, and on a schedule.

Read the result by checking which review domains appear at all, whether your own profile pages are cited, and whether position follows review count.

To keep the test running after the first pass, we use Semrush to track how often a brand and its competitors show up in AI answers, so you can compare the numbers before and after a review push.

If you want to see what feeds the answers behind your prompts, audit the sources behind your category's AI answers in five steps. Readers who want the test automated can compare tools that monitor ChatGPT answers, and you can track your brand visibility in ChatGPT over time once you have a baseline. If you would rather hand the tracking to someone else, our AI search visibility service does that.

How To Earn More Reviews Without Gaming Them

Review volume is a weak lever for ChatGPT, but your buyers still read reviews, so earn them honestly. The steps below hold whether or not ChatGPT ever cites you.

1. Complete both profiles first. A thin profile gives buyers and any model reading it little to work with.
2. Ask recent customers at a moment of success, such as after a launch or a renewal. People write better reviews when they have just got value.
3. Ask for specifics in the review, such as the use case, the team size and what changed. Specific reviews are more useful to buyers and read as real.
4. Respond to every review, good or bad. Replies show buyers that someone is paying attention.
5. Keep your category and product descriptions accurate and consistent with your own site. Mismatches confuse buyers and make the profile harder to trust.
6. Skip incentivised and batch reviews. Platforms can penalise them and they read as inauthentic, and a handful of real reviews beats a spike that looks bought.

Reviews also sit inside a bigger set of third-party mentions. If you want help earning those, our earned mentions work covers it at the Earned Mentions page. If you are not ready to talk to anyone, the free AI Visibility Report is the easier next step.