A new Search Engine Land analysis of 35,000 ChatGPT citation URLs in a SaaS sample finds that user-generated platforms were the largest third-party source class. After vendor domains were excluded, community and user-generated sources represented 17.1% of unique cited domains, while publishers accounted for 4%. Review platforms became stronger during evaluation, but community sources remained present at every stage of the buying journey.
The result is not a one-channel prescription to post more on Reddit. The study combines very different properties such as Wikipedia, Reddit, LinkedIn, YouTube, and Quora in one broad UGC class. It also covers only US ChatGPT answers from December 2025 and prompts designed to find software vendors. The data supports a strong hypothesis, but it cannot be generalised to every industry or AI engine.
How was the research conducted?
The analysis used roughly 35,000 citation URLs captured through Profound. Prompts were assigned to discovery, exploration, evaluation, or focused evaluation between two finalists. Each URL was reduced to its root domain and classified as a review platform, user-generated platform, publisher, or vendor/other source.
Records were deduplicated by run, intent, and domain so six Reddit links in one answer did not inflate the result. The metric is share of unique cited domains, not total links. The 17.1% figure therefore does not mean that 17.1% of all ChatGPT answers came from communities.
Vendor domains represented 66.7% to 71.8% at every stage. The newsworthy movement is in the remaining source mix. UGC held 17.1% overall while publishers were around 4%. Review platforms rose from 7.4% in discovery to 13.2% in evaluation. The community class stayed within a narrower range of 15.1% to 18.2% across the four stages.
This text-free Fark Studio diagram shows community presence persisting across four decision stages while review and publisher sources change weight. It is not a reproduction of the study's chart.
Which sources carry the community class?
Wikipedia, Reddit, and LinkedIn made up 99% of UGC citations in the sample. Wikipedia alone contributed between 10.1 and 14 points depending on the stage and was the largest third-party source in most stages. Community strategy therefore means more than participating in discussion forums.
The roles are different. A brand should not run a campaign to manipulate Wikipedia. It can create accurate product documentation, original research, and independent coverage that editors are able to rely on. Reddit rewards transparent participation and genuine problem-solving. On LinkedIn, a named expert may contribute more credible experience than a logo account. YouTube offers a more controllable surface for durable explanatory content.
The distribution also signals risk. The overall UGC class looked stable in this sample, but the visibility of individual platforms moved sharply across adjacent periods. Concentrating the entire budget in one property can weaken the strategy when that property's search or citation visibility changes.
Who is affected?
B2B software and SaaS companies are the most direct audience because the sample was built for that category. Professional services, technology, ecommerce, and researched purchases can use the result as a testable hypothesis. Restaurants, tourism, health, and local services should not assume the same percentages.
SEO, content, digital PR, social, customer success, and subject-matter experts need shared ownership. When community visibility belongs only to the social team, product knowledge and repeated customer questions are separated from content. Fake reviews, hidden employee accounts, and astroturfing can also damage trust and violate platform rules even if they create short-term visibility.
Turkish and English source ecosystems are different. Local forums, YouTube channels, LinkedIn experts, and trade publications should be measured with separate prompt sets. US English software prompts cannot be copied directly into a Turkish buying journey.
What is confirmed and what remains uncertain?
The confirmed observation is that user-generated sources had a larger third-party domain share than publishers and review platforms in this sample and appeared at all four stages. Review platforms also became more prominent during evaluation.
Causality is unknown. Does a brand earn ChatGPT citations because it is discussed on Reddit, or does an already strong brand appear in both places? The study cannot answer that. It also does not establish that December 2025 patterns remain unchanged, that other AI engines choose the same sources, or that Türkiye would reproduce the percentages.
What should brands in Türkiye do now?
1. Build a Turkish and English test set of 20 to 30 genuine buying questions. 2. Classify brand sites, publishers, review sites, and community domains separately in every answer. 3. Split the UGC bucket into Wikipedia, forums, LinkedIn, YouTube, and category communities. 4. Collect recurring objections from customer-success and sales teams and connect expert content to real questions. 5. Publish methods, data, product documentation, and dated evidence that independent sources can cite. 6. Do not use hidden employee or agency accounts for promotion. Disclose the relationship and contribute real value. 7. Build a portfolio rather than betting on one platform. Select an expert network, a video surface, and a relevant discussion space. 8. Measure mentions, citations, referrals, and conversions separately. A citation is not automatically a sale. 9. Repeat the same prompts monthly and avoid treating one answer as proof of success or failure.
This Fark Studio portfolio visual distributes verified brand evidence across different community roles and avoids dependence on one platform.
Where should teams wait?
Do not turn 17.1% into a universal target. The study is bounded by category, country, engine, and time. It also does not prove that investment in community content directly causes more AI citations. Collect category-specific evidence first.
Expert visibility and evidence quality should not wait. A brand that answers customer questions only with promotional copy gives independent sources little material to use and can remain weak in both classic search and AI answers.
Fark Studio perspective
AI visibility is not created by technical website health alone. What independent sources say, who says it, and whether the information can be verified also matter. Community strategy should distribute expertise rather than manipulate discussion.
SEO, content production, and social media teams can build one shared source map. If you want to measure which communities feed AI answers in your category, plan an AI-visibility study with Fark Studio.
Sources
Search Engine Land, Community signals are AI's largest third-party source, August 12, 2026; 35,000 ChatGPT citation URLs, methodology, findings, and limitations.
G2, Do software review platforms show up more in the bottom of the funnel?, 2026; complementary research on review platforms across decision stages.
Growth Memo, The consensus gap, 2026; methodological context on limited source overlap between AI engines.
