Glossary · Beginner
What Is UGC? Definition and Example
UGC, or user-generated content, is content created by users rather than by a brand or publisher: reviews, forum threads, comments, Q&A answers, videos and social posts. AI answers often summarise what real users say about products, so UGC shapes how assistants describe brands, sometimes more than a brand's own pages.
On this page
- Types of UGC
- Why does it matter for AI answers?
- How should UGC links be marked?
- How should brands engage?
- What are the risks?
- From MentionX data: where engines get opinions
- Worked example: Ledgerline's stale complaint
- Which UGC sources matter most?
- What are the rules for brands?
- How do you mark UGC links on your own site?
- How do you measure it?
- Common questions
- Related
Checked on 31 October 2026. "Our view" marks MentionX opinion. Ledgerline is a fictional company used for illustration.
Types of UGC
| Type | Examples |
|---|---|
| Reviews | Product reviews, app store ratings, review platforms |
| Forums | Reddit, community forums, Q&A sites |
| Comments | Blog and video comments |
| Social | Posts, threads, short videos |
Why does it matter for AI answers?
Buyers trust peer opinions, and AI assistants reflect that by drawing on discussions and reviews. Some providers also have content partnerships with forum platforms. For example, Reddit has announced partnerships with both OpenAI and Google. If users repeatedly praise or criticise something, AI answers may repeat it.
How should UGC links be marked?
For your own site, Google recommends marking links in user-generated content such as comments and forum posts with rel="ugc" (Google). This tells search engines that the link wasn't placed editorially.
How should brands engage?
- Encourage genuine reviews from real customers
- Respond to complaints publicly and helpfully
- Join discussions with a disclosed affiliation, and only when you can genuinely help
- Fix product issues that appear repeatedly
- Never post fake reviews or undisclosed promotional content
What are the risks?
- Old complaints persist: an outdated thread may keep appearing in answers.
- Astroturfing backfires: communities detect fake posts, and platforms remove them.
- Inaccuracies spread: misinformation in UGC can be repeated by AI.
From MentionX data: where engines get opinions
Method. Read-only aggregate queries over MentionX scans from 22 August to 29 October 2026 (UTC): 2,217 engine runs (2,154 completed) across 18 anonymised projects and six engines.
In MentionX data (22 Aug–29 Oct 2026, 2,217 runs, 18 projects), cited URLs fell into these types:
| Cited URL type | Share of 9,750 citations |
|---|---|
| Blog or article | 19.6% |
| Homepage | 10.0% |
| Review page | 2.7% |
| Docs | 2.6% |
| Pricing | 1.9% |
| Wikipedia | 1.6% |
Review sites were a small share of citations overall. They matter most on the questions where opinions count, and those are where brands are named least: brands were named in 26.6% of best-of answers and 29.2% of recommendation answers, so the sources behind those answers have real influence.
Our URL categories don't separate forums from other sites, so we can't give a figure for Reddit or community threads. We have no data for Claude or Google's AI Overviews. Our view: check which review sites and forums engines cite for your category, then focus there.
Limits. A convenience sample of mostly B2B software projects, run through engine APIs, which can behave differently from the consumer apps. Perplexity, Copilot and DeepSeek figures come from a single day (26 October 2026), so treat them as a snapshot, not a trend.
Worked example: Ledgerline's stale complaint
Ledgerline is a fictional accounts-payable tool. Figures are illustrative.
Ledgerline, a fictional accounts-payable tool, notices that answers mention "slow customer support", traced to a forum thread from two years ago. Support response times have since improved.
The team replies in the thread with a disclosed affiliation, explains what changed and offers help. It asks recent customers for honest reviews on the two review sites engines cite most, without incentives tied to positive ratings, and publishes support response times on its own site.
Which UGC sources matter most?
The ones engines cite for your category. Run your best-of, comparison and problem prompts on each engine and record the cited domains. Review platforms, forums and Q&A sites that appear repeatedly are where opinions about you are formed. A handful of sources usually matters more than everything else combined.
What are the rules for brands?
Disclose any affiliation when you post in communities, follow each platform's rules and never post or buy fake reviews. In the US, the FTC's rule on consumer reviews prohibits fake consumer reviews (FTC). Platforms remove undisclosed promotion and may penalise accounts. Honest engagement takes longer but lasts.
How do you mark UGC links on your own site?
Use rel="ugc" on links in comments and forum posts, as Google recommends (Google). It signals that the link wasn't placed editorially and protects your site from spam links in user content.
How do you measure it?
Track the share of answers that mention recurring themes about you, positive or negative, and which sources they cite. Re-check quarterly. A fixed problem should fade from answers as newer reviews and threads replace the old ones.
Common questions
Can I ask customers for reviews? Yes, if you ask all customers or a fair sample, and don't reward only positive reviews.
Should I post on Reddit as my brand? Only with a disclosed affiliation, following the subreddit's rules, and when you can genuinely help.
Related
Questions
Why does UGC matter for AI visibility?
AI answers often summarise what real users say, and some AI providers have content partnerships with forum platforms such as Reddit.
How should UGC links be marked?
Google recommends marking links in comments and forum posts with rel="ugc".
Can brands post UGC about themselves?
Only transparently. Disclose your affiliation; fake reviews or undisclosed posts break platform rules and erode trust.