Which Review Sites and Directories Do AI Assistants Cite When Recommending Software?

Which review platforms feed AI software recommendations?

Do LLMs use G2, Trustpilot, and other review sites to recommend products?

Yes. Review platforms are among the sources assistants use most for "which tool should I choose?" questions. Omniscient Digital's analysis of citations for branded questions found reviews, listicles, forums, social posts and case studies made up about 57% of cited sources. G2 analysed 13.6 million AI responses mentioning products listed on its site. It found AI descriptions closely tracked the meaning of G2 profile descriptions, while paraphrasing rather than copying them. G2 and Capterra matter most for business software. Trustpilot matters more for products sold to consumers and very small businesses, where its reviews are plentiful.

Do industry directories like G2 and Clutch influence AI citations and recommendations?

They do, for different questions. G2 and similar platforms list software products. Clutch lists service providers, such as agencies, development firms and consultancies. For "best CRM for a 20-person agency", assistants lean on software review platforms. For "who can implement our CRM?", they lean on Clutch and similar service directories. A software company with an implementation partner network benefits when those partners are listed accurately on the service directories too.

How much does Perplexity rely on G2 and Trustpilot for SaaS recommendations?

There is no published figure, and it varies by category. Perplexity shows its sources prominently, which makes it the easiest engine to measure. Run 20–30 buyer questions in your category and count the domains in the source list. In business software categories, expect G2, Capterra and editorial comparison articles to feature strongly. Trustpilot appears mainly where the product has a large consumer or very small business base. Recency matters on any platform, since assistants and the platforms themselves favour recent reviews.

Do niche review sites influence AI citations?

Yes, often more than the general platforms in specialist markets. Hotel software buyers use Hotel Tech Report, and healthcare IT buyers rely on KLAS Research. Enterprise security buyers use PeerSpot and Gartner Peer Insights. When a niche site is the recognised authority in a category, assistants tend to cite it for questions in that category. Find the niche sites by running category questions and noting which specialist domains appear. Then check whether your product is listed there, and how.

How do the main platforms compare?

G2 vs Capterra vs TrustRadius for AI recommendation visibility

G2 is the largest B2B software review platform and is widely cited. Its category pages, comparison pages and product profiles appear in answers across many categories. Capterra, GetApp and Software Advice have strong coverage of small-business software and many category pages that rank well. G2 announced the purchase of Capterra, GetApp and Software Advice from Gartner in January 2026 and completed it in February, so the four platforms now share an owner. G2 said the combined network would hold nearly 6 million verified reviews. Vendor guides report that G2's vendor portal now lets companies manage all four listings from one shared product profile. That makes consistent facts across the four easier to maintain, and inconsistencies harder to excuse. TrustRadius, owned by HG Insights since 2025, has fewer but typically longer reviews, with a mid-market and enterprise audience. For most B2B companies, the priority order is G2 and Capterra first, then the platform that appears most in your own category's answers.

AlternativeTo vs Capterra: which comparison site should you target for AI scraping?

They serve different questions. AlternativeTo is built around "alternatives to [product]" lists, ranked by user likes. In SE Ranking's study it was never cited in Google's AI Overviews, so check whether it appears in your own ChatGPT and Perplexity answers before spending time on it. Capterra is built around categories, reviews and comparisons, so it appears in "best [category] for [use case]" answers. Both are open to AI crawlers. List your product accurately on AlternativeTo, under the products buyers switch from. Put more effort into Capterra, where reviews and category placement need ongoing work.

PeerSpot vs G2 for cybersecurity software shortlists in Perplexity

For enterprise security products, PeerSpot and Gartner Peer Insights carry weight because their reviewers are enterprise practitioners, and PeerSpot's reviews are detailed and technical. G2 covers security products too, with a broader mix of company sizes. For a mid-market or enterprise security vendor, a strong PeerSpot presence can matter as much as G2. Perplexity's visible source list will show which appears more for your categories, such as endpoint protection, identity or security operations.

Do Gartner Peer Insights reviews appear in ChatGPT software recommendations?

They can, especially for enterprise categories. Gartner verifies Peer Insights reviewers through a multistep process, and its Customers' Choice distinctions recognise vendors that meet or beat market averages for experience and willingness to recommend. Many vendors announce those distinctions in press releases and on their own sites. So assistants often learn about Peer Insights recognition second-hand, as well as from Gartner's pages. If you earn a distinction, publish it with the year and category.

Why AI assistants cite GoodFirms in software recommendations

GoodFirms publishes a large number of "best [software type]" category pages and software profiles. Its robots.txt places no restrictions on AI crawlers. Pages in list format that name many products tend to be retrieved for "best tools for..." questions. Vendors can also pay for sponsored placements there. If GoodFirms appears in your category's answers, make sure your profile is accurate. Treat it as one source among several, not a priority over the platforms your buyers actually use.

Do software marketplaces help?

Does AWS Marketplace improve a SaaS company's visibility in ChatGPT and Google AI Overviews?

Indirectly. AWS Marketplace product pages are public and open to AI crawlers. They state what the product does, deployment options, pricing models and reviews, on a highly trusted domain. They matter most for questions such as "[category] tools available on AWS Marketplace", or for buyers who purchase through their cloud commitment. A listing will not make you appear in general category answers on its own. Treat it as another consistent, detailed source that corroborates your own site.

How can our Salesforce AppExchange listing support accurate AI recommendations?

Salesforce has renamed AppExchange to AgentExchange, and listings are public and open to AI crawlers. Apps listed there go through Salesforce's security review, which is itself a useful fact to state. For Salesforce ecosystem questions, such as "best CPQ app for Salesforce", listings are natural sources. Keep the listing's description plain and specific, and list editions, pricing, supported Salesforce clouds and integrations. Ask every customer for an honest review, and match the facts on your own Salesforce integration page.

How do you strengthen your presence on review platforms?

How SaaS companies can strengthen thin G2 and Capterra profiles for AEO

A thin profile has a vague description, few reviews and empty sections. To strengthen it:

• Write a plain description naming the category, audience and main use cases, since assistants' descriptions track profile text.
• Complete features, integrations, pricing, screenshots and supported company sizes.
• Choose accurate categories, since assistants often describe you the way the platform classifies you.
• Invite every customer to review you in their own words, at a consistent point such as after onboarding or renewal, so reviews reflect your real customer base.
• Reply to reviews, especially critical ones, with facts about fixes.
• Keep facts identical across G2, Capterra and your own site.

How many G2 or Capterra reviews does a B2B software company need to appear in ChatGPT?

There is no published threshold for ChatGPT. G2 publishes its own thresholds, and they matter because G2's category and Grid pages are frequently cited. G2 includes a product in a Grid Report once it has at least 10 reviews in that category. A category needs at least six products with 10 or more reviews to get a Grid Report. G2 also says reviews lose weight as they age. So a steady flow of recent reviews matters more than a one-off burst. A practical target is at least 10 recent reviews on each platform your category's answers cite, then continued growth.

How G2 comparison content can help brands earn AI recommendations

G2 generates comparison pages ("[Product A] vs [Product B]") and alternatives pages from review data. These rank well and are natural sources for comparison questions. You cannot edit them, but you can make them accurate. Complete your profile data, invite all customers to review you, including those who switched from competitors, and respond to reviews that mention a competitor. If a comparison page misrepresents your product because of missing profile data, fixing the profile fixes the comparison.

Is G2 worth it for inbound leads and AEO visibility?

A complete free profile with a steady flow of reviews is the place to start. G2's own analysis found paid profiles earned about twice the AI citations of free listings with similar review counts, but paid vendors also tend to be larger brands, and review count was the strongest predictor for both. G2 says free profiles are eligible for Grid Reports and Best Software awards. Paid tiers add profile features, marketing tools, the right to publish earned badges and buyer intent data. Separate advertising buys sponsored positions on category and competitor pages. G2 says paid status cannot influence Grid placement or ratings. Judge paid tiers on lead and intent data, not on a promise of AI citations. Check whether G2 pages actually appear in your category's AI answers, and how many leads G2 referrals produce.

How do listings on G2, Capterra, blogs, and newsletters help earn LLM citations?

They supply different evidence. Review listings provide structured facts and customer opinions. Editorial blogs and comparison articles provide rankings and context. Peec's analysis of about 200,000 AI responses found that ranking first in frequently cited listicles raised a B2B SaaS brand's mention rate by 16.5 percentage points. Newsletters earn public citations only when they have a web archive that search engines index. Emails in inboxes cannot be cited to other people, although a subscriber's own assistant may read them if the subscriber has connected their email.

What should you fix on your own site?

Which pages should a CRM vendor improve when AI assistants cite review sites instead?

When review sites are cited instead of your site, your pages usually lack the specifics buyers ask for. For a CRM vendor, improve:

• Pricing: plan prices, seat minimums and add-on costs in text.
• Comparison pages: fair comparisons with the CRMs you meet most, with who each suits.
• Integration pages: which email, calendar, accounting and telephony tools sync, in which direction, on which plan.
• Segment pages: CRM for agencies, for field sales, for a particular industry, with real workflows.
• Migration pages: how to move from the main competitors, with time and data covered.

Review sites will still be cited for opinion. Your pages can become the cited source for facts. Integration pages are covered in whether software integration pages help a product get recommended by LLMs.

How do you track which review sites matter for you?

Write 20–30 buyer questions for your category, covering "best", "alternatives", "vs" and use-case questions. Run them monthly in ChatGPT, Perplexity, Gemini, Google's AI Mode and Copilot. Record every cited domain and whether your product is named. Rank the review sites by how often they appear, and compare with where your profiles are strongest. How assistants choose sources in general is covered in how LLMs choose which sources to cite.

What do people ask about review sites and AI recommendations?

Do paid review site placements help AI visibility?

Sponsored positions are labelled as ads. There is no evidence they are cited more than organic profiles.

Should we offer incentives for reviews?

Generally no. Google and many platforms ban incentives for reviews, and in the US the FTC rule bans incentives conditioned on positive reviews. G2 labels incentivised reviews and weights them less in its satisfaction scores, so ask every customer for an honest review instead.

Which platform should a new SaaS company start with?

The one that appears most in your category's AI answers, usually G2 or Capterra. Get at least 10 recent reviews there before spreading effort.

Do old reviews still count?

Less over time. G2 reduces the weight of older reviews, and assistants and buyers favour recent ones.