Key takeaways
- Social citation patterns changed fast in 2026. In Promptwatch Data for Sep 28 to Oct 4, 2026, social platforms were just 0.46% of ChatGPT citations but 12.2% of Google AI Overviews citations.
- Older studies that rank Reddit, YouTube and LinkedIn as the top cited domains are dated. Reddit's share of ChatGPT citations collapsed in August 2026.
- A platform worth paying for tracks the actual threads, videos and posts that get cited, per engine, not just whether your brand was mentioned.
- Tracking is the easy half. Pick a tool that also helps you act on what it finds.
- Check coverage of real AI interfaces, not only API outputs, since the two can differ.
Why social citations need their own tracking
A year ago the conventional wisdom was simple: get on Reddit, post videos, publish on LinkedIn, and AI engines will cite you. A Peec AI analysis of 30 million sources put Reddit first, then YouTube and LinkedIn. Indexly's vendor-authored piece claimed LinkedIn appeared in 11% of AI responses. Those numbers were reasonable when published. They are not a safe basis for a 2026 budget.
Here is what Promptwatch Data shows for Sep 28 to Oct 4, 2026, averaged across ChatGPT, Perplexity and AI Overviews: YouTube 1.70% of citations, Reddit 1.03%, LinkedIn 0.90%, Facebook 0.81%, Instagram 0.56%, TikTok 0.07%, X 0.04%. Small numbers. But the split by engine is where it gets interesting.
| Engine | All social platforms combined | Notable detail |
|---|---|---|
| ChatGPT | 0.46% | LinkedIn is the top social platform at 0.3%; Reddit fell from 5.19% to 0.09% |
| Google AI Overviews | 12.2% | YouTube 4.28%, Facebook 2.38%, Reddit 2.15%, LinkedIn 1.55% |
| Perplexity | 2.7% | LinkedIn and Reddit tie at 0.86%; YouTube 0.79% |
So the right answer to "should we invest in Reddit?" now depends entirely on which engine your buyers use. That is exactly why you want a platform that breaks citations out per engine.
The Reddit story
Promptwatch's Reddit citation report tracked Reddit at a steady 3.83% of ChatGPT citations from Jul 18 to Aug 7, 2026. It slipped on Aug 8, the day ChatGPT changed its query fanout behavior, then fell below 1% on Aug 14. The Aug 14 to 17 average was 0.52%, an 86.4% relative drop. AI Overviews eased only from 2.37% to 2.10%, and AI Mode fell from 2.22% to 1.54%.
The cause is unconfirmed, and a data-collection issue can't be ruled out, so treat the size of the drop as provisional. This is a good illustration of what a tracking tool is for: you need to see the specific Reddit URLs cited before and after a shift, not just a line going down.
The LinkedIn story
LinkedIn is more nuanced because the page type matters. In Promptwatch's August 2026 LinkedIn report, Pulse articles were 30.41% of LinkedIn citations and posts 27.75%, about 58% combined, down from roughly 70% earlier in the summer. Company pages rose from 13.35% to 18.05%. In ChatGPT specifically, company pages were 33.68% and Pulse articles only 3.65%. On Perplexity, posts led at 37.32%.
If your LinkedIn strategy is "publish more Pulse articles", that data should make you pause. A good tracker tells you which page types each engine actually cites.
The YouTube story
YouTube is the most consistent of the three, mostly because of Google. It is 4.28% of AI Overviews citations in the October data, but Perplexity's share dropped from 2.67% to 0.79%. For Google visibility, Promptwatch's advice from the report is to put YouTube first. Its earlier YouTube citation data covers top channels and video engagement.
What to look for in a platform
Not every tool that says "citation tracking" does the same thing. Some count domains. Others show the exact URLs. I'd check these:
- URL-level detail: the specific thread, video or post, plus the subreddit or channel, not just "reddit.com was cited".
- Per-engine breakdown: ChatGPT, AI Overviews, AI Mode, Perplexity and Gemini behave differently.
- Real interface data: user-facing answers can differ from API outputs.
- Your own channels: can you filter to your accounts versus competitors'?
- Page type or content type classification, especially for LinkedIn.
- Trend history, so you can spot a collapse like Reddit's rather than guess.
- Action layer: briefs, content, or a to-do list that comes out of the data.
- Pricing that scales with prompts and responses, not surprise credits.
Platform comparison
The table below is based on how each vendor positions itself and on what I could verify. I did not independently confirm current pricing for most competitors, so check each vendor's site before buying.
| Platform | Social citation angle | Action layer | Best for |
|---|---|---|---|
| Promptwatch | Dedicated Reddit, YouTube and LinkedIn reports, plus My channels filter | Content Agent, Action Board, Agent Chat | Teams that want to fix gaps, not just see them |
| Profound | Cited YouTube URLs with channel, video and category detail; LinkedIn research | Enterprise monitoring focus | Larger brands with budget |
| Indexly | LinkedIn and Reddit presence tracking | GEO content agents | LinkedIn-led B2B brands |
| Peec AI | Strong source and domain analysis | Mostly monitoring | Agency-style reporting, multilingual |
| Otterly.AI | Basic citation tracking | Limited | Budget entry point |
| AEO Vision | Reddit and TikTok insight | Varies | Teams focused on those two channels |
| Sentrasa | Reddit reputation plus AI visibility | Reddit-focused | Reddit-first strategies |
The platforms worth a look
Promptwatch
Promptwatch is the one I'd start with for this specific job. It has dedicated reports for the subreddits, videos, channels and LinkedIn posts that AI cites, and a My channels filter so you can separate your own accounts from everyone else's. Citation Trends classify each citation into 22 content types and 20 source types, with first cited date, ramp-up, peak and decay half-life per page, which is useful given how quickly Reddit's share moved this year.
What separates it from tracker-only tools is what happens next. The Action Board turns findings into prioritized to-dos (including Reddit and offsite mention actions), the Content Agent drafts and publishes to Webflow, Framer or WordPress, and published pages get tracked through crawls, citations and AI traffic. It monitors real interfaces for ChatGPT, AI Overviews, AI Mode, Gemini, Perplexity, Copilot and others, and IP-verified crawler logs show whether AI systems can actually read your pages. Pricing starts with a free Explore plan (ChatGPT only), then Essential at $95/month; confirm at promptwatch.com/pricing.
Profound
Profound has published research showing LinkedIn as the most-cited domain for professional queries, and its YouTube Citation Breakdown surfaces cited videos with channel and category. That is a genuinely useful feature. It skews enterprise on price and, as far as I can tell, leans toward monitoring rather than content execution.
Indexly
Indexly pairs prompt tracking with LinkedIn and Reddit presence tracking and GEO content agents. Its own comparison ranks itself first, which you should read with the obvious skepticism. The LinkedIn angle is real, but the 11% figure it cites is from earlier data and sits well above what Promptwatch measured in October 2026.
Peec AI
Peec AI did the 30-million-source study and is strong on research-style reporting and multilingual tracking. It is a monitoring tool, so expect to do the optimization work elsewhere.
Otterly.AI
Otterly.AI is an affordable way to start tracking citations. Depth on social sources is thinner than the platforms above, so treat it as an entry point.
AEO Vision and Sentrasa
Two smaller tools worth knowing if one channel dominates your strategy. AEO Vision leans on Reddit and TikTok insight, and Sentrasa focuses on Reddit reputation alongside AI visibility.
Broader alternatives
Semrush and Ahrefs Brand Radar bolt AI tracking onto traditional SEO suites. That is convenient if you already live there, but prompt sets tend to be fixed and AI-specific depth is shallower. For a wider shortlist, the GEO software directory lists many more.
How to choose by channel
| If your priority is | Look for | Why |
|---|---|---|
| Google AI Overviews | YouTube video and channel tracking, Facebook and Instagram profile checks | Social is 12.2% of its citations |
| ChatGPT | Company pages, product pages, crawler logs | Social barely registers at 0.46% |
| Perplexity | LinkedIn posts plus Reddit threads | Both sit at 0.86% |
| B2B professional queries | LinkedIn page type breakdown | Company pages and posts now outweigh Pulse in some engines |
A practical setup
- Build a prompt set around the questions your buyers actually ask, split by engine and country.
- Run it for two to four weeks to establish a baseline of which social URLs get cited.
- Filter to your own channels. Which of your videos, posts or threads appear? Which competitors' do?
- Before reacting to a drop, check collection volume and compare the specific URLs cited before and after. The Reddit decline is the cautionary example.
- Pick actions per engine: YouTube first for Google, LinkedIn plus Reddit for Perplexity, owned product and company pages for ChatGPT.
- Re-measure. If a platform can't show whether your changes moved citations, it is a dashboard, not a strategy.
If you would rather hand off the strategy and execution entirely, an agency like 1001 SEO Media runs GEO programs that combine technical SEO, content and digital PR, and uses Promptwatch for the measurement side.
Bottom line
The social citation picture is moving month to month, and the headline studies from late 2025 no longer describe ChatGPT. Pick a platform that shows the exact URLs, splits by engine, and helps you act. For most teams that means Promptwatch first, with Profound as the enterprise alternative and Peec AI or Otterly.AI as lighter monitoring options. Browse Promptwatch Data for the latest citation numbers before you commit your budget to any single channel.