Share of all 2,714 AI search citations by publisher type: review platforms, software vendors, media publishers, independent blogs and other sources

Who AI Search Recommends for Software 2027: 500 Queries, 2,714 Citations

Table of Contents

Which sites an AI search engine cites for 500 “best X software” queries

Research snapshot: October 31, 2026. MySaaSJourney ran 500 “best software” queries through Claude with live web search, recorded all 9,624 search results and all 2,714 citations, and classified every cited site.

Key findings

One company now controls a quarter of the sources an AI search assistant cites when buyers ask for the “best” software. G2, which acquired Capterra, Software Advice and GetApp from Gartner in February 2026, earned 25.2% of all citations and appeared in 75.2% of answers.

  • Review platforms and vendors dominate: review platforms earned 31.4% of citations and software vendors 30.9%. Together they account for 62.3% of citations. Media publishers earned 20.3%; independent blogs earned 13.8%.
  • The G2 network is in three out of four answers: G2 appeared in 48.0% of answers and Capterra in 46.6%. Across G2, Capterra, Software Advice and GetApp, at least one appeared in 75.2% of answers; 44.2% cited two or more network pages.
  • Vendors shape the shortlist: 66.2% of answers cited at least one page from a company selling software in the category. When such a vendor page was cited, that vendor’s own product appeared in the AI shortlist 46.1% of the time.
  • Search rank matters: results in positions 1–3 were cited 50.6% of the time, versus 11.9% for results ranked 16th or lower. Still, 1,458 domains appeared in search results without a single citation.
  • “Best X” lists dominate: 72.5% of cited pages were roundups and 22.4% were review-platform pages. Comparison pages earned 1.6%; vendor product pages just 0.1%.
  • Citations are concentrated: the 10 most-cited sites earned 37.5% of citations; 29 sites earned half. Of 901 cited sites, 668 were cited exactly once.
  • Four publisher groups earned 37.5%: G2 network (25.2%), Black & White Zebra (5.2%), Future plc (3.6%) and TechnologyAdvice (3.4%).
  • Reddit and YouTube were absent: neither appeared in the 9,624 search results, so neither was cited. All community sources together earned 0.4% of citations.
  • Freshness correlates with citation: among cited page titles that showed a year, 76.4% said 2026, compared with 66.4% of all search results with a year.
  • The AI filtered noise: off-topic listicles and likely spam on .edu and .gov hosts appeared 185 times and were cited once. Regional review-site editions appeared 358 times and were cited 13 times.
Share of 2,714 AI search citations by publisher type: review platforms 31.4%, software vendors 30.9%, media publishers 20.3%, independent blogs 13.8%, and other or community sources 3.6%
                                                                                    Figure 1. Share of all 2,714 citations by type of site.

Quotable findings

  • “One company, G2, now owns the sites behind 25% of the citations Claude’s web search answers gave for ‘best software’ questions.”
  • “75.2% of Claude’s web search answers to ‘best X software’ queries cite G2, Capterra, Software Advice or GetApp.”
  • “When Claude’s answer cites a software vendor’s own listicle, that vendor makes the shortlist 46% of the time.”
  • “Top-three search results are about four times as likely to be cited by Claude as results ranked 16th or lower.”

Why we ran this study

The software shortlist used to start with a search results page. A buyer typed “best CRM software” into Google, opened several tabs, skimmed a review platform and read a roundup. A growing share of that discovery now happens inside an AI answer: the buyer asks a question and the assistant searches the web, selects sources and names a short list of products.

That changes the question for software marketers. It is no longer only “who ranks for best CRM software?” It is also “who does the AI choose to read, and who does it name?” A site that ranks fifth but gets cited may matter more than one that ranks second and is ignored. A vendor’s own category roundup may feed the answer that recommends it.

We wanted a large, documented dataset focused on the commercial-investigation query that matters to software buying: “best X software”. This report answers which sites are cited, what kinds of publishers they are, how concentrated ownership is, how the assistant selects among search results, how vendor content shapes recommendations, and how patterns vary across 20 areas of software.

Important scope limitation

This study measures one AI engine: Claude by Anthropic, using its built-in web search. It does not measure ChatGPT, Perplexity, Google AI Overviews, Gemini or Copilot. Those products use different search indexes and citation logic. Patterns such as rank effects and the popularity of roundups may carry over directionally, but exact shares will differ. References to “the AI” below mean Claude with web search as run in this study.

Methodology

The query set

We built 500 distinct software categories and turned each into a query in the form “best software”. The queries were divided into 20 groups of 25 categories each, giving every area equal weight in the group comparisons.

Group Example categories
Marketing Email marketing, SEO, social media management, social listening
Sales CRM, sales engagement, CPQ, revenue intelligence
Customer Service Help desk, live chat, contact center, knowledge base
HR HRIS, payroll, applicant tracking, performance management
Finance & Accounting Accounting, expense management, accounts payable, FP&A
Project & Work Management Project management, kanban, resource management, OKR
Collaboration & Communication Team chat, video conferencing, wiki, business phone system
IT & Operations IT service management, RMM, observability, status page
Security Password manager, SIEM, EDR, GRC
Development IDE, CI/CD, feature flag, AI code assistant
Data & Analytics Business intelligence, ETL, product analytics, A/B testing
E-commerce & Retail Ecommerce platform, POS, inventory management, sales tax
Design & Creative Graphic design, video editing, CAD, podcast hosting
Website & Content Website builder, CMS, form builder, plagiarism checker
Healthcare & Professional Services EHR, medical billing, legal practice management, e-discovery
Industry Verticals Property management, church management, HVAC, roofing
Supply Chain & Operations ERP, fleet management, CMMS, visitor management
Productivity & Automation PDF editor, iPaaS, RPA, meeting scheduler
AI Tools AI chatbot, AI video generator, vector database, AI detector
Small Business & Startups Small-business accounting, cap table management, virtual data room

How each query was run

  1. One search, verbatim. Exactly one web search was run using the query text as written. It was not rephrased, expanded with a year or followed by additional searches, and no pages were opened.
  2. Record every result. Every returned result was stored in order with its URL and title. Search returned 7–33 results per query: 9,624 total, averaging 19.2 per query, across 2,360 domains.
  3. Answer as a buyer would expect. The assistant named the best five products, or fewer only when the results clearly supported fewer.
  4. Record citations. The assistant cited three to eight sources from that query’s results. Across the study there were 2,714 citations, averaging 5.43 per answer, from 901 domains.

The search tool returned titles and URLs, not page text. Source selection therefore rested on titles, URLs and the assistant’s general category knowledge. This makes the process repeatable, but it is an important limitation. The 500 queries were run in three waves on the same day using identical instructions and validation.

Classification and validation

Each citation was classified by publisher type (review platform, software vendor, media publisher, independent blog, community, video or other), page type (roundup, comparison, review-platform page, product page, forum, video, article or other), and whether the publisher sold software in the queried category. URLs were normalized to registered domains. Domain types were assigned by majority vote and the 60 most-cited domains were manually reviewed. Domains were grouped by owner where public records confirmed ownership.

Product names were mapped to parent companies where the relationship was unambiguous, with each company counted once per answer. Vendor self-citation was measured by checking whether a vendor’s brand appeared among the products recommended in the same answer as a citation to that vendor’s category content. Brand matching can miss products whose names differ from their domains and can occasionally produce false matches.

Validation found all 500 queries had results and an answer, with no failed queries or duplicates. Every citation URL matched a result returned for that query. The 60 most-cited domains (59.0% of citations) were manually checked, and ownership groupings were checked against public announcements, site footers and reference sources.

Limitations

  • One engine and one day: results describe Claude with web search on October 31, 2026; answers change daily and other engines differ.
  • One search per query, titles only: real assistants may run several searches and read pages in full.
  • US, English: queries were run in English without a location and results skewed toward US sites.
  • Labels from titles and URLs: long-tail classification errors are possible.
  • Not a measure of quality: being cited does not prove that a source is accurate or unbiased.

The most-cited sites in AI software recommendations

Across 500 answers, Claude made 2,714 citations to 901 websites. G2 and Capterra appeared in almost half of all answers each; no other individual site reached a quarter.

The 20 websites most often cited in Claude answers to best software queries, led by G2 and Capterra
                           Figure 2. The 20 sites cited most often, by share of the 500 answers that cite each site at least once.
Rank Site Type Citations Share of citations Share of answers
1 g2.com Review platform 316 11.6% 48.0%
2 capterra.com Review platform 246 9.1% 46.6%
3 softwareadvice.com Review platform 110 4.1% 21.8%
4 techradar.com Media publisher 73 2.7% 14.6%
5 zapier.com Software vendor 60 2.2% 11.8%
6 itechguides.com Independent blog 48 1.8% 9.6%
7 selecthub.com Review platform 47 1.7% 9.0%
8 techrepublic.com Media publisher 45 1.7% 9.0%
9 thectoclub.com Media publisher 41 1.5% 8.2%
10 softwaretestinghelp.com Independent blog 32 1.2% 6.4%

G2’s 316 citations included 112 to learn.g2.com, its editorial site. G2 therefore earned citations both as a review platform and as a publisher of “best X” articles. TechRadar was the first non-review site and appeared across all 20 groups. Zapier was the most-cited vendor; its broad app roundups often covered categories in which it was not itself a direct competitor. Independent publishers such as iTechGuides and Software Testing Help also reached the top 10.

The long tail is substantial: 668 of the 901 cited sites (74%) were cited exactly once. A focused page in a specialist category can therefore earn a citation without a major media brand behind it.

Which sites convert appearances into citations?

Site Search appearances Citations Citation rate
Fit Small Business 29 29 100%
The Digital Project Manager 31 25 80.6%
The CTO Club 59 41 69.5%
NerdWallet 25 17 68.0%
TechRadar 108 73 67.6%
Geekflare 33 19 57.6%
Comparitech 42 24 57.1%
Software Testing Help 58 32 55.2%
Zapier 110 60 54.5%
Capterra 534 246 46.1%
G2 1,065 316 29.7%

G2’s reach comes from appearing almost everywhere, not from being selected every time. It often returned several URLs for the same query, while the AI cited only one or two. Focused editorial roundups converted appearances into citations at a higher rate.

Who gets cited: the five kinds of sources

Site type Citations Share of citations Share of answers citing at least one
Review platforms 852 31.4% 82.6%
Software vendors 838 30.9% 84.2%
Media publishers 552 20.3% 65.0%
Independent blogs 374 13.8% 55.2%
Other 87 3.2% —
Community (forums, Q&A) 11 0.4% 2.2%
Share of Claude answers citing at least one vendor page, review platform, media publisher, independent blog, forum or video source
                   Figure 3. Share of the 500 answers that cited at least one source of each kind; answers can cite several kinds.

The typical answer blended several sources. Each answer cited an average of 5.24 different domains; 77.2% mixed at least three source types and 97.8% mixed at least two. Only 10.6% relied entirely on review platforms and vendors.

Review platforms

Review platforms earned 31.4% of citations and appeared in 82.6% of answers. Category pages match “best X software” queries closely and aggregate ratings across many products. Of 852 review-platform citations, 685 (80.4%) went to the four brands now owned by G2. Outside that network, SelectHub earned 47 citations, Findstack 26, OMR Reviews 17, SourceForge 16, SoftwareSuggest 14 and TrustRadius 12.

Review platforms’ weakness is duplicate presence: G2 appeared 1,065 times and was cited 316 times; Capterra appeared 534 times and was cited 246 times. Paginated category pages, regional editions and product pages create many opportunities to appear, but the AI usually selects only a small number.

Software vendors

Vendors earned 30.9% of citations and appeared in 84.2% of answers. Of 838 vendor citations, 553 (66.0%) came from a company selling software in the queried category. Overall, 331 answers (66.2%) cited at least one such in-category vendor page. These were usually category roundups rather than product pages.

Media publishers and independent blogs

Media publishers earned 20.3% of citations and appeared in 65.0% of answers. TechRadar led the group, followed by TechRepublic, The CTO Club, The Digital Project Manager, Geekflare, NerdWallet and Solutions Review. Three media groups—Black & White Zebra, TechnologyAdvice and Future plc—earned 333 citations, or 60.3% of all media citations. Independent blogs earned 13.8% of citations and appeared in 55.2% of answers, but this segment was fragmented across many specialist sites.

Community and video

Reddit, Quora and YouTube did not appear once in the 9,624 search results. LinkedIn appeared twice and Medium three times. Community sources earned 11 citations (0.4%), mostly niche practitioner forums and a few DEV Community or StackShare pages. Video earned none. This is a property of the search layer used in this study, not evidence that community platforms are unimportant on other AI engines.

From search results to citations: what the AI keeps and drops

Of 9,624 returned search results, 2,714 were cited, a 28.2% citation rate. Position strongly predicted selection:

Search position Share of results cited
1–3 50.6%
4–5 34.1%
6–10 29.6%
11–15 25.2%
16 and lower 11.9%
Citation rate by search result position: 50.6% for positions one to three and 11.9% for position sixteen or lower
                                                                         Figure 5. Citation rate by position in the search results.

The median cited page sat at position 7, compared with a median of 10 for all results. Ranking is the ticket into consideration, but it does not guarantee a citation: half of top-three results were still not cited, and 1,458 domains appeared without a single citation.

Comparison of sites that appeared frequently in search results with how often Claude cited them
                            Figure 4. Showing up is not the same as being cited: appearances versus citations for frequently returned sites.
Search results that appeared often but were almost never cited, including locale duplicates, regional review sites, spam and thin directories
                                                                                                     Figure 6. What the AI filtered out.

Four patterns explain much of the filtering. First, duplicate locale copies were ignored: guideflow.com appeared 328 times across 206 queries, but 150 appearances were locale-path copies and 326 results had the generic title “Best tools”; only eight were cited. Second, regional editions of Capterra, Software Advice and GetApp appeared 358 times and were cited 13 times, while their US counterparts were cited about 46% of the time they appeared. Third, off-topic listicles and likely spam hosted on university and public-body subdomains appeared 185 times but were cited once. Fourth, thin directory pages were often skipped: fitgap.com appeared 145 times and earned five citations; SourceForge appeared 108 times and earned 16.

Inside one answer: “best CRM software”

The CRM query returned 26 results and the AI cited six. The cited sources included G2 at position 1, Brevo at position 5, Software Advice at position 7, Capterra at position 12, Zapier at position 9 and TechRepublic at position 14. The AI recommended Salesforce Sales Cloud, HubSpot CRM, Zoho CRM, Pipedrive and monday CRM.

This one answer illustrates the wider patterns: duplicates from G2 and Zapier were collapsed; three G2-owned sites appeared among the citations; a vendor roundup was cited even though Brevo was not recommended; and results below position 14 were ignored. TechRadar appeared at position 13 but was passed over in favor of TechRepublic at position 14, showing that rank is influential rather than absolute.

Review platforms and the G2 network

G2 announced its agreement to acquire Capterra, Software Advice and GetApp from Gartner on January 29, 2026; the deal was reported closed on February 5, 2026. In this dataset, the network supplied 685 citations (25.2%) and appeared in 376 answers (75.2%).

G2 network site Citations Share of all citations Answers citing it
G2, including Learn and former G2Crowd 316 11.6% 240 (48.0%)
Capterra 246 9.1% 233 (46.6%)
Software Advice 110 4.1% 109 (21.8%)
Regional editions, including GetApp UK 13 0.5% —
Network total 685 25.2% 376 (75.2%)
Share of all AI citations by publisher owner, with the G2 network accounting for 25.2%
                                                                  Figure 7. Share of all citations by the company that owns the cited site.

Three out of four answers cited at least one G2-owned site, and 44.2% cited two or more. For buyers, several links may therefore represent fewer independent viewpoints than they appear to. We found no evidence that G2-owned sites ranked products unfairly or that the AI favored paid placements; the finding is concentration of ownership and source reach, not proof of bias.

The network’s presence varied by category: it appeared in 24 of 25 answers in HR, Data & Analytics and Industry Verticals; 23 of 25 in Supply Chain & Operations; and 22 of 25 in IT & Operations. It appeared in only 44% of Productivity & Automation answers, 52% of AI Tools answers and 56% of Design & Creative and Website & Content answers.

Share of answers in each software category that cite G2, Capterra, Software Advice or GetApp
                                                                              Figure 9. How often the G2 network appears by category.

Vendor sites and self-published listicles

Of 838 citations to vendor sites, 553 went to a vendor selling in the queried category. Of those 553 in-category vendor citations, 255 (46.1%) were to a vendor whose own brand also appeared among the AI’s recommendations. Across the full study, 187 answers (37.4%) both cited a vendor’s own article and recommended that vendor.

Funnel showing 2,714 total citations, 838 vendor citations, 553 in-category vendor citations and 255 where the vendor's product was recommended
                                                Figure 10. From all citations to vendors whose own product made the AI shortlist.

For “best HRIS software”, the AI cited roundups from HiBob and Lattice and recommended HiBob among five products. For “best CRM software”, it cited Brevo’s roundup, but Brevo did not make the shortlist. This overlap does not prove that the citation caused the recommendation: strong products may both publish credible roundups and earn recommendations on their merits. It does show that vendor content is a routine part of the evidence base.

HubSpot and ClickUp led vendors with eight in-category citations each, followed by Rippling with six. Brevo, Connecteam, Freshworks, Optimonk, Zapier and Zendesk earned four each. Vendor influence was broad but shallow rather than dominated by one company.

Who the AI recommends

Across 500 answers, Claude recommended 1,836 differently named products, or about 1,590 distinct company or product names after partial mapping to parent companies. The most frequently recommended individual product, monday.com, appeared in only 11 answers. At the parent-company level, Microsoft appeared in 75 answers (15%), followed by Zoho (40), Google (38), Salesforce (33), Adobe (29) and HubSpot (25).

Software companies most often recommended across 500 AI answers, led by Microsoft, Zoho and Google
Figure 11. Software companies recommended in the most answers, counting each company once per answer.

These broad portfolios compete across many categories. Specialist vendors should make the case for their fit in the category and buyer context rather than assume a shortlist will contain only specialist products.

Category deep dives: 20 areas of software

The mix of citations varies widely. Review-platform share ranges from 13% in Productivity & Automation to 44% in Healthcare & Professional Services. Vendor share ranges from 9% in Security to 49% in Sales.

Stacked comparison of review platform, vendor, media and independent-blog citation shares across 20 software groups
                                                              Figure 12. Mix of cited sources by site type, for each group of 25 queries.
Group Review platforms Vendors Media Independent Answers citing G2 network Most-cited site
Healthcare & Professional Services 44% 27% 12% 9% 76% Capterra
Supply Chain & Operations 42% 27% 9% 15% 92% Capterra
HR 41% 32% 20% 8% 96% G2
Industry Verticals 40% 26% 13% 20% 96% Capterra
Security 38% 9% 37% 17% 84% G2
Marketing 37% 28% 13% 18% 84% G2
E-commerce & Retail 36% 33% 15% 14% 76% Capterra
Data & Analytics 35% 27% 26% 9% 96% G2
IT & Operations 35% 19% 28% 18% 88% G2
Collaboration & Communication 35% 35% 16% 13% 80% G2
Finance & Accounting 34% 30% 23% 11% 72% G2
Customer Service 33% 45% 11% 10% 72% G2
Website & Content 29% 41% 8% 19% 56% Capterra
Sales 25% 49% 17% 8% 76% G2
Project & Work Management 25% 28% 28% 17% 76% G2
AI Tools 24% 43% 17% 12% 52% G2
Small Business & Startups 24% 29% 28% 13% 72% Capterra
Development 20% 33% 28% 12% 60% G2
Design & Creative 18% 22% 30% 15% 56% G2
Productivity & Automation 13% 37% 26% 20% 44% TechRadar

Healthcare & Professional Services: review platforms earned 44% of citations, led by Capterra and Software Advice. Recommended products included athenahealth, SimplePractice, MyCase, NextGen Healthcare, AdvancedMD and Tebra.

Supply Chain & Operations: 92% of answers cited a G2-owned site. Capterra and G2 led, while media publishers earned only 9%. Recommended products included UpKeep, Blue Yonder, Kinaxis, SAP Ariba, Coupa and Gatekeeper.

HR: 24 of 25 answers cited a G2-owned site. Vendors were active sources, and Rippling, BambooHR, Connecteam, Lattice, Paylocity and Workday were frequently recommended.

Industry Verticals: 96% of answers cited the G2 network. Independent blogs earned 20% of citations, including Fit Small Business and CRM.org. Jobber and Housecall Pro were among the recommended products.

Security: vendor sites earned just 9% of citations; media publishers earned 37%. G2 led, followed by Capterra, The CTO Club and Comparitech. No product appeared in more than two answers.

Marketing: G2 and Capterra led, with The CMO, Zapier and Findstack contributing roundups. Semrush, HubSpot, Sprout Social, Brevo, Klaviyo and ActiveCampaign were among the recommended products.

E-commerce & Retail: Capterra edged G2. The source mix was balanced between review platforms and vendors. BigCommerce, Shopify, WooCommerce, Wix and Squarespace led recommendations.

Data & Analytics: the G2 network appeared in 96% of answers, while media earned 26% of citations, led by Datamation and Solutions Review. Power BI, Tableau, Zoho Analytics, Looker Studio, Hotjar and Qlik Sense were recommended.

IT & Operations: vendor share was only 19%; editorial publishers and independent blogs had a stronger role. Recommended products included Freshservice, Zabbix, NinjaOne, Microsoft Intune, Dynatrace and Datadog.

Collaboration & Communication: review platforms and vendors were almost tied. Microsoft Teams, Box, Notion, RingCentral, Slack and Webex were among the most recommended.

Finance & Accounting: NerdWallet was a notable media source alongside G2 and Capterra. QuickBooks Online, Xero, FreshBooks, Ramp, Brex and BILL were frequently recommended.

Customer Service: vendors earned 45% of citations through extensive category roundups. Zendesk was most recommended, followed by Freshdesk, HubSpot Service Hub, Five9 and Talkdesk.

Website & Content: vendors earned 41% of citations and 88% of answers cited an in-category vendor. Wix, Squarespace, Typeform, Google Forms, Kajabi and Mighty Networks led recommendations.

Sales: this was the most vendor-driven area: vendors earned 49% of citations and 88% of answers cited an in-category vendor. Salesforce, Apollo.io, HubSpot, PandaDoc, Zoho CRM and Pipedrive led recommendations.

Project & Work Management: sources were unusually balanced across review platforms, vendors, media and independent sites. monday.com appeared in eight of 25 answers, followed by Smartsheet, ClickUp and Jira.

AI Tools: vendor sites earned 43% of citations and 84% of answers cited an in-category vendor. Recommendations included ChatGPT, Claude, Synthesia, HeyGen, ElevenLabs and Murf AI.

Small Business & Startups: Fit Small Business and NerdWallet were prominent editorial sources. QuickBooks Online, Xero, FreshBooks and Wave each appeared in three answers.

Development: technical editorial sources mattered. G2 and The CTO Club led, followed by Capterra and Software Testing Help. GitHub, GitLab, Visual Studio Code, Bitbucket, Jenkins and Azure DevOps led recommendations.

Design & Creative: media publishers earned 30% of citations and review platforms only 18%. TechRadar, Creative Bloq and Top Ten Reviews led; Canva and Adobe products appeared repeatedly.

Productivity & Automation: TechRadar was the most-cited site, ahead of Zapier and Capterra. The G2 network appeared in just 44% of answers, the lowest share of any group.

Which pages get cited: formats and freshness

Page type Share of citations
Roundup (“best X” list) 72.5%
Review-platform category or product page 22.4%
Guide, article or news 2.7%
Comparison or alternatives page 1.6%
Forum thread 0.5%
Vendor product page, video or other 0.2%
Share of cited pages by type, showing that 72.5% are best-of roundups and 22.4% are review-platform pages
                                                                                           Figure 13. Share of cited pages by page type.

List-style pages made up 94.9% of citations. Comparison pages earned only 1.6%, because they answer a later-stage question such as “X vs Y”. Vendor product, pricing and homepage pages earned 0.1%: a product page does not directly answer “what is the best software in this category?”

Among page titles that included a year, 76.4% of cited pages said 2026, compared with 66.4% of search results. Only 12.3% of dated cited pages showed 2024 or earlier, compared with 21% of dated results. A year in a title is an imperfect freshness signal, but the association is clear.

Year in page titles: 2026 appears in 76% of cited pages with a year versus 66% of search results with a year
                                                               Figure 14. Year shown in page titles, among titles that show a year.

What makes a citable page?

  1. A list format that answers “best X” directly.
  2. A title that matches the query, with the category name spelled out.
  3. A current date in the title or clearly on the page.
  4. A canonical URL, not a regional mirror, translated copy or page two of a list.
  5. A recognizable publisher, whether a review platform, established media brand or specialist site with consistent coverage.

Concentration: how few sites win most citations

Measure Value
Different sites cited 901
Share of citations to top 3 sites 24.8%
Share of citations to top 10 sites 37.5%
Share of citations to top 25 sites 48.3%
Sites needed to reach 50% of citations 29
Sites needed to reach 80% of citations 359
Sites cited exactly once 668 (74%)
Cumulative share of citations captured by the most-cited sites, showing a concentrated head and long tail
                                                      Figure 15. Cumulative share of citations captured by the most-cited sites.

The top is concentrated: three sites earned a quarter of citations and 29 earned half. The long tail is broad: 359 sites were needed to reach 80%, and three quarters of cited sites appeared once.

Concentration by owner

Publisher group Sites cited in the study Citations Share of citations Answers citing group
G2 network G2, Capterra, Software Advice, GetApp and regional editions 685 25.2% 75.2%
Black & White Zebra The CTO Club, The Digital Project Manager, The CMO, CRO Club, People Managing People, The CX Lead, The CFO Club, The Retail Exec, The Ecomm Manager, The QA Lead 142 5.2% 27.0%
TechnologyAdvice TechRepublic, eWeek, Datamation, TechnologyAdvice, Project-Management.com, eSecurity Planet and related titles 92 3.4% 16.4%
Future plc TechRadar, Tom’s Guide, Creative Bloq, ITPro, Top Ten Reviews and related titles 99 3.6% 16.6%
Combined — 1,018 37.5% —
Out of every 100 AI citations, 25 go to the G2 network, five to Black and White Zebra, three to TechnologyAdvice and four to Future plc
                                     Figure 16. Out of every 100 AI citations, how many go to the four largest publisher groups.

Black & White Zebra’s portfolio of role-specific publications collectively appeared in more than a quarter of answers. TechnologyAdvice and Future plc also operate portfolios of technology titles. Buyers should count owners, not just links: several citations from one publisher group do not represent several independent viewpoints.

What this means for buyers, vendors and publishers

For software buyers

  1. Check who wrote each citation. In 66.2% of answers, at least one source was published by a company that sells software in the category. A vendor roundup may be useful, but it is not independent.
  2. Count owners, not links. The G2 network supplied a quarter of citations, and 44.2% of answers cited two or more of its pages. Treat G2, Capterra, Software Advice and GetApp as one owner when weighing evidence.
  3. Look for missing perspectives. Reddit and YouTube were absent from this engine’s results. Search community platforms directly when real-user experience matters.
  4. Ask a second question. Follow “best X software” with your company size, budget, industry and integration requirements to surface more relevant sources.

For software vendors and marketers

  1. Treat review platforms as infrastructure. Keep G2 and Capterra profiles, reviews, category assignments and product information current. In categories where the network is weaker, invest relatively more in editorial coverage.
  2. Publish one honest category roundup. Vendor roundups earned nearly 30% of citations; when a vendor’s roundup was cited, the vendor made the shortlist 46% of the time. Make it a useful buyer guide, not a disguised product pitch.
  3. Rank first, then get chosen. Top-three results were cited 50.6% of the time, but ranking alone is insufficient. Make pages specific, current, canonical and genuinely helpful.
  4. Avoid duplicate pages. Consolidate locale copies and use clear titles and correct language/region markup for genuinely localized pages.
  5. Earn coverage in the right publications. Identify the publishers cited in your category and build credible editorial relationships.
  6. Match page format to search intent. Comparison pages serve “X vs Y” queries; category queries need a strong category roundup.
  7. Keep content fresh and show it. Update roundups on a schedule and make the update visible.
  8. Do not build around one engine. Search indexes differ. Diversify across review platforms, editorial publishers, vendor content and communities.

For publishers and review sites

The four largest publisher groups earned 37.5% of citations, but 668 sites earned exactly one citation. The opportunity for smaller publishers is the long tail: create focused coverage in specific categories, use accurate current titles, maintain one canonical page per category, avoid duplicate regional pages and disclose commercial relationships clearly.

How to audit your own category in an afternoon

  1. List five to ten “best X software” queries buyers actually use, including modifiers such as “for small business” or “for agencies”.
  2. Run each query with the same AI assistant in a fresh conversation and use the exact wording. Repeat on other assistants to compare their retrieval layers.
  3. Record every citation, URL, domain, owner and whether the publisher sells in the category.
  4. Search the same phrase in a conventional search engine and record cited pages’ positions and high-ranking pages that were ignored.
  5. Classify and count citations by review platform, vendor, media and independent source; group by owner.
  6. Act on gaps: improve review profiles, pitch relevant publishers, consolidate duplicate pages and publish a current, honest category guide.
  7. Repeat quarterly. Keep the date, assistant, query, cited URLs and recommended products in a spreadsheet.

What comes next: five predictions

These are MySaaSJourney’s expectations based on the observed patterns, not measured findings.

  1. Review-platform concentration will receive more public scrutiny as one company owns the sites behind a quarter of citations.
  2. AI assistants may begin labeling source types such as review platform, vendor and editorial publisher.
  3. Vendors will invest more in category roundups, and genuinely useful buyer guides will outperform thin promotional pages.
  4. Role-based publisher portfolios will multiply as media groups copy the model of focused publications for specific buyer roles.
  5. “Search rank for AI” will converge with SEO because ordinary search ranking remains the gateway to web-search citations.

Conclusion

When a buyer asks an AI for the best software in a category, the answer looks simple: five names and a few links. In our 500 queries, the process looked like a busy editor working from headlines: it considered about 19 results per question, cited about five, preferred higher-ranked pages, ignored spam and duplicates, favored fresh pages and leaned on roundups and review platforms.

The citation landscape has two faces. Influence is concentrated: one company owns sites behind a quarter of citations and reaches three quarters of answers, while four publisher groups together earn 37.5%. Vendor roundups make up nearly 30% of the evidence base, and the vendor behind a cited list makes the shortlist almost half the time. Yet 901 sites were cited, 668 only once, leaving room for specialist publishers.

Buyers should check who is speaking, count owners rather than links and seek missing perspectives. Vendors and publishers should create pages that are specific, current, honest and easy to find. We plan to repeat the study and extend it to other AI engines so changes can be tracked over time.

The 30 most-cited sites: full table

The full dataset contains all 901 cited sites. The following table lists the 30 most-cited and summarizes citation frequency and citation rate.

Rank Site Type Owner group Citations Share of answers Search appearances Citation rate
1 g2.com Review platform G2 network 316 48.0% 1,065 29.7%
2 capterra.com Review platform G2 network 246 46.6% 534 46.1%
3 softwareadvice.com Review platform G2 network 110 21.8% 237 46.4%
4 techradar.com Media publisher Future plc 73 14.6% 108 67.6%
5 zapier.com Software vendor Other 60 11.8% 110 54.5%
6 itechguides.com Independent blog Other 48 9.6% 104 46.2%
7 selecthub.com Review platform Other 47 9.0% 102 46.1%
8 techrepublic.com Media publisher TechnologyAdvice 45 9.0% 102 44.1%
9 thectoclub.com Media publisher Black & White Zebra 41 8.2% 59 69.5%
10 softwaretestinghelp.com Independent blog Other 32 6.4% 58 55.2%
11 fitsmallbusiness.com Independent blog Other 29 5.8% 29 100.0%
12 findstack.com Review platform Other 26 5.2% 71 36.6%
13 thedigitalprojectmanager.com Media publisher Black & White Zebra 25 5.0% 31 80.6%
14 clickup.com Software vendor Other 24 4.8% 99 24.2%
15 comparitech.com Independent blog Other 24 4.8% 42 57.1%
16 geekflare.com Media publisher Other 19 3.8% 33 57.6%
17 gitnux.org Independent blog Other 19 3.8% 48 39.6%
18 omr.com Review platform Other 17 3.4% 53 32.1%
19 nerdwallet.com Media publisher Other 17 3.4% 25 68.0%
20 solutionsreview.com Media publisher Other 17 3.4% 38 44.7%
21 quicksprout.com Independent blog Other 16 3.2% 20 80.0%
22 sourceforge.net Review platform Other 16 3.2% 108 14.8%
23 crm.org Independent blog Other 15 3.0% 31 48.4%
24 cloudwards.net Independent blog Other 14 2.8% 19 73.7%
25 softwaresuggest.com Review platform Other 14 2.8% 95 14.7%
26 thecmo.com Media publisher Black & White Zebra 13 2.6% 14 92.9%
27 hubspot.com Software vendor Other 13 2.6% 15 86.7%
28 croclub.com Media publisher Black & White Zebra 12 2.4% 17 70.6%
29 expertmarket.com Independent blog Other 12 2.4% 23 52.2%
30 peoplemanagingpeople.com Media publisher Black & White Zebra 12 2.4% 16 75.0%

Download the dataset

The full dataset is available in four CSV files. Together they contain all 500 queries and answers, 2,714 citations, 9,624 search results and 901 cited sites.

All data was collected on October 31, 2026.

Frequently asked questions

Which websites do AI search engines cite most for “best software” questions?

In this study of 500 queries run through Claude with web search, the most-cited sites were G2 (cited in 48.0% of answers), Capterra (46.6%), Software Advice (21.8%), TechRadar (14.6%) and Zapier (11.8%).

Who owns G2, Capterra and Software Advice?

G2 announced its acquisition of Capterra, Software Advice and GetApp from Gartner in January 2026; the deal was reported closed in February. Together, these brands earned 25.2% of citations and appeared in 75.2% of answers in this dataset.

Do AI assistants cite software vendors’ own blogs?

Yes. Vendor sites earned 30.9% of citations, and 66.2% of answers cited at least one page from a company selling in the category. When such a vendor page was cited, the vendor’s own product made the shortlist 46.1% of the time.

Does search ranking still matter for AI citations?

In this study, results in positions 1–3 were cited 50.6% of the time, compared with 11.9% for results ranked 16th or lower.

Does AI search cite Reddit and YouTube for software recommendations?

Not in the engine and search snapshot studied. Reddit, YouTube and Quora did not appear in the 9,624 search results, so they were never cited. Other AI engines may differ.

What kind of page is most likely to be cited for a “best X software” query?

A roundup: 72.5% of cited pages were “best X” lists and 22.4% were review-platform pages. Comparison pages earned 1.6% and vendor product pages 0.1%.

Do AI answers prefer recent content?

Among page titles that showed a year, 76.4% of cited pages said 2026, compared with 66.4% of search results. This is an association, not proof that changing a title year alone improves citations.

How concentrated are AI software citations?

The top 10 sites earned 37.5% of citations and 29 sites earned half. At the same time, 901 different sites were cited, and 668 were cited only once.

Which AI engine does this study cover?

Claude by Anthropic, using its built-in web search, run on October 31, 2026. Results for ChatGPT, Perplexity, Google AI Overviews, Gemini or Copilot may differ.

Sources and disclosure

The AI search dataset is original research by MySaaSJourney. Publisher ownership groupings were checked against public records and company announcements, including G2’s acquisition announcement, TechnologyAdvice’s ownership information, Black & White Zebra’s publication information and Future plc’s portfolio information.

Suggested citation: MySaaSJourney (2026). Who AI Search Recommends for Software 2027: Which sites an AI search engine cites for 500 “best X” software queries. Data collected October 31, 2026. https://mysaasjourney.com/research/who-ai-search-recommends-for-software/

This study was conducted independently by MySaaSJourney. It was not commissioned, sponsored or reviewed by any software vendor, review platform or publisher named in it. MySaaSJourney did not appear in any search results or citations in the dataset. Claude was used as a research assistant to run queries and label cited sources; the most-cited-site labels, ownership groupings and calculations were checked by MySaaSJourney. Findings describe one AI engine on one day and should be read as a snapshot, not a permanent ranking.

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