Key takeaways
- Social citations differ wildly by engine. In Promptwatch Data for Sep 28 to Oct 4, 2026, social platforms were 0.46% of ChatGPT citations but 12.2% of Google AI Overviews citations.
- Older listicle claims (for example Reddit as the number one cited domain, or LinkedIn jumping into ChatGPT's top five) come from late 2025 and early 2026 studies. Check any platform's Reddit and LinkedIn reporting against current data before telling clients.
- A useful tool tracks LinkedIn by page type (Pulse articles, posts, company pages), YouTube by channel and video, and Reddit by subreddit and thread.
- Agencies also need multi-client workspaces, white-label reports, and a path from insight to action. Monitoring alone is not enough.
- Promptwatch, Profound, Peec AI, and Scrunch AI are the most agency-relevant options in this space, with different strengths.
Why social citation tracking matters for agencies
Clients ask a simple question: "Is AI citing us, and where?" The honest answer often involves third-party platforms. A brand can have a perfect site and still lose a recommendation because an AI engine pulled its answer from a YouTube video, a LinkedIn post, or a Reddit thread that names a competitor.
That is why domain-level tracking falls short. If a tool tells you "reddit.com was cited 40 times" and nothing else, you cannot tell the client which subreddit, which thread, or whether the thread even mentions them. You need the citation at the URL level, tagged by platform and content type.
The second problem is that the numbers move fast. Two years of listicles have repeated that Reddit, YouTube, and LinkedIn dominate AI answers. That was true in some datasets. It is much less true for ChatGPT right now.
What the current data says
Here is where I would start before choosing any tool, because it changes what you should be tracking per engine.
Social citations by engine
Promptwatch's social media citations by AI model report covers Sep 28 to Oct 4, 2026. Averaged across ChatGPT, Perplexity, and AI Overviews, YouTube took 1.70% of citations, Reddit 1.03%, LinkedIn 0.90%, Facebook 0.81%, Instagram 0.56%, TikTok 0.07%, and X 0.04%.
The split by engine is the interesting part:
| Engine | Social share of citations | Notable detail |
|---|---|---|
| ChatGPT | 0.46% | LinkedIn is the top social platform at 0.3%; Reddit fell 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% |
The practical read: for Google surfaces, YouTube comes first, then Facebook and Instagram. For Perplexity, publish on LinkedIn as well as Reddit. For ChatGPT, do not count on Reddit threads to get you in.
The Reddit drop in ChatGPT
This is the one that trips agencies up. Promptwatch Data shows reddit.com held a steady 3.83% share of ChatGPT citations from Jul 18 to Aug 7, 2026, then fell below 1% on Aug 14. The Aug 14 to 17 average was 0.52%. The slide began Aug 8, the same day ChatGPT changed its query fanout behavior (see ChatGPT's site: operator shift). Promptwatch flags the size of the drop as provisional, since a data-collection issue can't be fully ruled out. AI Overviews eased from 2.37% to 2.10%, and AI Mode fell from 2.22% to 1.54%.
If your reporting tool still shows Reddit as a top ChatGPT source, ask why. Either its data is stale or it is collecting from a different surface.
LinkedIn by page type
LinkedIn is not one thing. Promptwatch's LinkedIn citation page types report for August 2026 shows Pulse articles at 30.41% of LinkedIn citations and posts at 27.75% across all engines, about 58% combined, down from roughly 70% in the May 18 to Jun 17 window. Company pages rose from 13.35% to 18.05%.
By engine it looks different again:
- ChatGPT: company pages 33.68%, posts 26.45%, Pulse articles only 3.65%.
- AI Mode: Pulse articles 34.66%, posts 24.39%, company pages 13.53%.
- Perplexity: posts 37.32%, Pulse articles 26.01%, company pages 22.03%.
So for ChatGPT clients, a well-kept company page matters more than a ghostwritten Pulse article. For Perplexity, personal and company posts win. A tool that only reports "LinkedIn: 12 citations" hides all of this.
YouTube
YouTube is the most consistent of the three, particularly in Google's products. Promptwatch also publishes YouTube in AI Search data covering top channels, engagement, and video age. Third-party studies tell a similar story: Peec AI's analysis of 30 million sources ranked Reddit first, then YouTube and LinkedIn, but that dataset predates the ChatGPT changes above.
What agencies should require from a platform
Citation tracking for social is table stakes now. The differences are in what comes after.
- Real-interface data. Answers in the actual ChatGPT or AI Overviews UI can differ from API outputs, and social citations are exactly the thing that varies.
- Platform-level detail: subreddits and threads, YouTube channels and videos, LinkedIn page types, and a way to filter to your client's own accounts.
- Multi-client structure: separate workspaces, pitch projects for prospects, seats for your team.
- White-label reporting that a client can read without a call.
- Action, not just data. A report that says "you are absent from YouTube" is only useful if something turns it into a brief, a draft, or a task.
- Honest pricing per response or prompt, since agencies multiply everything by client count.
One caveat: I did not verify every competitor's agency plan details for this guide, so confirm pricing and white-label support on each vendor's site before committing.
The platforms worth comparing
Promptwatch
Promptwatch is the one I would put first for agencies that care specifically about Reddit, YouTube, and LinkedIn. It has dedicated reports for the subreddits, videos, channels, and LinkedIn posts that AI cites, plus a "My channels" filter to isolate a client's own accounts. Most competitors skip these channels entirely.

It tracks the real UIs of ChatGPT, AI Overviews, AI Mode, Gemini, Perplexity, and Copilot, which matters given how different the social numbers are by engine. Beyond tracking, the Action Board and Content Agent turn gaps into prioritized tasks and published content, and IP-verified crawler logs and visitor analytics connect citations to real traffic. For agencies, there are Kick-off ($199/mo), Growth ($399/mo), and Scale ($799/mo) plans with unlimited projects, 10 seats, white-label reports, and a client portal. Check promptwatch.com/pricing for current numbers. Promptwatch also runs a live session on Oct 22 called "Auditing & Scaling AI Search for Clients" if you want to see the agency workflow first.
Profound
Profound is the enterprise heavyweight. It publishes research on LinkedIn as the most-cited domain for professional queries and has a YouTube Citation Breakdown that surfaces channel, video, and category. Those figures come from the November 2025 to February 2026 window, so treat them as historical when you present them. Pricing sits higher than most.
Peec AI
Peec AI is popular with agencies that want research depth and multilingual coverage. Its 30M-source study is widely cited. It is mostly a monitoring product, so you will need other tools for execution.
Scrunch AI
Scrunch positions itself for brands and agencies, with multi-engine monitoring and analytics integration. Solid on monitoring, lighter on content production.

Search Party
Search Party is built with agencies in mind, as its name suggests, and is worth a look if multi-client management is your top concern.
Indexly
Indexly pitches LinkedIn and Reddit authority signals alongside prompt tracking and content agents. Note that its own comparison article ranks itself first, so weigh that accordingly.

Otterly.AI and Semrush
Otterly.AI is the budget entry point for basic citation tracking. Semrush's AI Visibility Toolkit suits teams already living in that suite, though fixed prompt sets and shallower AI-specific data are the trade.

Comparison table
| Platform | Reddit / YouTube / LinkedIn depth | Agency fit | Execution tools | Best for |
|---|---|---|---|---|
| Promptwatch | Dedicated reports for all three, own-channel filter | Agency plans, white-label, client portal | Content Agent, Action Board, Agent Chat | Agencies that want to fix gaps, not just report them |
| Profound | YouTube breakdown, LinkedIn research | Enterprise-oriented | Limited vs monitoring | Large enterprise clients |
| Peec AI | Source and domain analysis | Agency-style research | Mostly monitoring | Research-heavy, multilingual work |
| Scrunch AI | Multi-engine monitoring | Built for brands and agencies | Lighter | Monitoring-first teams |
| Indexly | LinkedIn and Reddit signals | Smaller teams | Content agents | LinkedIn-focused programs |
| Otterly.AI | Basic | Entry level | None | Tight budgets |
| Semrush toolkit | Shallow | Existing Semrush users | Via wider suite | Teams already on Semrush |
A workflow that holds up with clients
First, baseline by engine. Do not present one blended "social citations" number. Show ChatGPT, AI Overviews, and Perplexity separately, because the right investment differs.
Second, map the client's own accounts. Filter citations to their subreddits, channels, and LinkedIn company page. If AI cites none of them, that is your first finding.
Third, look at who is cited instead. Which videos and threads name competitors? Those are targets for your own video content, genuine community participation, or PR.
Fourth, prioritize by engine. Typical outcome: YouTube and Facebook or Instagram for Google surfaces, LinkedIn posts and company page upkeep for ChatGPT and Perplexity, and Reddit mainly for Perplexity and AI Overviews. Skip X.
Fifth, verify with traffic. Citations are not revenue. Crawler logs and visitor analytics show whether any of this sends people to the site.
Pitfalls to avoid
- Quoting stale studies. Reddit's ChatGPT share went from about 3.8% to about 0.5% in a few days in August 2026. A report built on June data will mislead.
- Treating LinkedIn as one bucket. Page type changes the playbook.
- Trusting API-only tracking for social questions. Consumer interfaces behave differently.
- Buying a monitor and expecting results. Tracking tells you where you are absent. Someone still has to make the video, the post, or the page.
If you want more options beyond this shortlist, the GEO software directory at bestgeosoftware.com lists many more tools, and ai-rank-tools.com focuses on AI rank trackers.
Bottom line
For agencies, the deciding factor is not whether a tool mentions Reddit, YouTube, and LinkedIn. Almost all of them do. It is whether the tool breaks each one down by engine and page type, filters to client-owned accounts, and helps you act on what it finds. On those criteria Promptwatch is the strongest fit I have seen for agency work, with Profound the pick for enterprise budgets and Peec AI for research-led teams. Start with a trial on one client, compare its Reddit and LinkedIn numbers against the Promptwatch Data reports linked above, and see which tool gets closest to current reality.


