Key takeaways
- Most AI visibility platforms track your own site's citations but ignore the Reddit threads, YouTube videos, and third-party listicles that LLMs cite just as heavily.
- Offsite brand mentions are one of the biggest levers for AI search visibility -- brands showing up in ChatGPT responses are often winning on third-party credibility, not just their own content.
- Very few platforms monitor Reddit and YouTube as citation sources; this is a genuine gap in the market.
- Promptwatch is one of the only platforms that explicitly tracks offsite citations, Reddit discussions, and YouTube content influencing LLM responses, alongside its full optimization loop.
- If you're only monitoring your own domain, you're missing half the picture.
Why offsite mentions matter more than most people realize
Here's something that catches a lot of marketers off guard: when ChatGPT or Perplexity recommends a product, cites a brand, or answers a comparison question, the sources it draws from aren't always the brand's own website. Often they're a Reddit thread from six months ago, a YouTube review, a "best of" listicle on some niche blog, or a forum post on a community site.
This isn't a quirk -- it's how LLMs work. They're trained to synthesize credible, diverse sources. A single highly-upvoted Reddit comment in r/homelab or r/personalfinance can carry more weight in an AI response than a polished product page. A YouTube video with 50,000 views gets cited. A comparison article on a mid-tier affiliate site gets cited. Your own homepage? Sometimes not.
One r/seogrowth thread put it plainly: "Earned mentions on credible third-party sites are the single biggest lever right now. The brands appearing more often in ChatGPT responses are winning on third-party credibility."
That's the problem with most AI visibility tools. They're built around tracking your own domain -- which pages get cited, how often, by which model. That's useful, but it's only half the picture. If you don't know which Reddit threads are shaping AI responses about your category, which YouTube channels LLMs treat as authoritative, or which third-party listicles are driving citations for your competitors, you're flying blind on the inputs that actually matter.
This guide breaks down which platforms actually track offsite sources, which ones don't, and what to look for when evaluating tools in 2026.
What "offsite AI visibility" actually means
Before comparing tools, it's worth being precise about what we're talking about. Offsite AI visibility monitoring covers:
- Reddit threads and comments that LLMs cite in responses
- YouTube videos that appear as sources in AI answers
- Third-party review sites, comparison pages, and listicles
- News articles and media coverage that influence AI training and retrieval
- Community forums, Quora answers, and niche discussion boards
- External brand mentions on sites you don't control
This is distinct from tracking your own site's citation rate, which most tools do reasonably well. The offsite layer is harder to track because you don't own those pages, can't instrument them with tracking snippets, and often can't predict which ones will become influential.
The platforms that do this well tend to approach it from two angles: monitoring what LLMs actually cite in their responses (and then identifying which of those citations are offsite), and proactively surfacing discussions on platforms like Reddit that are likely to influence future AI responses.
The platforms that actually track offsite sources
Promptwatch
Promptwatch is the most complete platform for offsite AI visibility monitoring, and it's one of the few that treats Reddit and YouTube as first-class data sources rather than afterthoughts.
Its offsite citation analysis shows exactly which external pages, Reddit threads, YouTube videos, and third-party domains are driving AI visibility for your brand and your competitors. You can see which specific Reddit posts are being cited in ChatGPT or Perplexity responses, which YouTube channels LLMs treat as authoritative in your category, and which third-party listicles are generating citations for competitors but not for you.
The Reddit and YouTube Insights feature goes beyond just showing you what's being cited -- it surfaces discussions that are actively influencing AI recommendations, so you can identify where your brand is being discussed (or not discussed) before it affects your visibility scores.
What makes this genuinely useful rather than just interesting: Promptwatch connects the offsite data to action. If a competitor is getting cited because of a Reddit thread you're not part of, or a YouTube review that doesn't mention you, you can see that gap and do something about it. The Answer Gap Analysis shows which prompts competitors rank for that you don't, and the Content Agents can generate content designed to fill those gaps -- including content that targets the specific angles and questions driving offsite citations.
It also tracks ChatGPT Shopping citations and entity mentions, which often pull from third-party sources like product review sites and comparison pages. For e-commerce brands especially, knowing which external sources are feeding shopping recommendations is critical.
Pricing starts at $99/month for the Essential plan, with Reddit/YouTube insights and full offsite citation analysis available on higher tiers.
Profound
Profound is a strong enterprise option with solid citation source analysis. It tracks which domains LLMs cite in responses and gives you visibility into competitor citation patterns. The platform is well-regarded for its depth of data and enterprise integrations.
Where it falls short on the offsite question: Reddit and YouTube aren't explicitly tracked as distinct channels. You can see that reddit.com appears as a citation domain, but you don't get the kind of discussion-level analysis that shows you which specific threads are influential. For large brands with dedicated research teams, Profound's raw data is valuable. For teams that want actionable offsite insights without heavy manual analysis, it requires more work.
Otterly.AI
Otterly.AI is a monitoring-focused tool that tracks brand mentions across several LLMs. It's affordable and reasonably easy to set up. For offsite tracking specifically, it's limited -- the platform shows you citation counts and which models mention your brand, but doesn't break down whether those citations are coming from your own site, Reddit, YouTube, or third-party pages.
It's a decent starting point for teams that just want to know if they're being mentioned, but it won't tell you why or where the citations are originating.
Scrunch AI
Scrunch AI monitors how AI assistants like ChatGPT and Claude represent your brand. It has some source analysis capabilities and tracks citation patterns over time. Like Profound, it gives you domain-level visibility into where citations come from, but doesn't have dedicated Reddit or YouTube tracking.
Brand24
Brand24 is worth mentioning here because it comes from a different angle. It's primarily a social listening and brand mention tool that monitors across 25 million+ sources in real time, including Reddit, YouTube, news sites, and forums. It doesn't track LLM citations directly -- it won't tell you whether ChatGPT cited a particular Reddit thread -- but it gives you a comprehensive view of where your brand is being discussed across the web.
For teams that want to understand the offsite conversation landscape that feeds LLM training data and retrieval, Brand24 is a useful complement to a dedicated AI visibility platform. The combination of Brand24 (for broad offsite monitoring) and Promptwatch (for connecting that to actual LLM citation behavior) covers the full picture.
Peec AI
Peec AI tracks brand visibility across ChatGPT, Perplexity, Gemini, Llama, and DeepSeek. It monitors brand mentions, links, and sources over time. The dashboard is clean and the data is useful for understanding your overall citation rate. On offsite tracking, it's similar to Otterly -- you get mention data but not a detailed breakdown of which external sources are driving citations or which Reddit discussions are influencing responses.
Athena HQ
AthenaHQ covers 8+ AI search engines and has solid monitoring capabilities. It's more monitoring-focused than optimization-focused, and doesn't have dedicated offsite source tracking for Reddit or YouTube. Good for teams that want broad LLM coverage; less useful if offsite citation analysis is a priority.
Comparison: offsite tracking capabilities
| Platform | Reddit tracking | YouTube tracking | Third-party citation analysis | Offsite mention monitoring | Content optimization |
|---|---|---|---|---|---|
| Promptwatch | Yes (dedicated) | Yes (dedicated) | Yes, detailed | Yes | Yes (full loop) |
| Profound | Partial (domain-level) | Partial (domain-level) | Yes | Limited | Limited |
| Scrunch AI | No | No | Partial | No | No |
| Otterly.AI | No | No | No | No | No |
| Peec AI | No | No | Partial | No | No |
| AthenaHQ | No | No | Partial | No | No |
| Brand24 | Yes (social listening) | Yes (social listening) | No | Yes (broad) | No |
The gap is real. Most platforms were built to answer "is my brand being cited?" rather than "what external sources are driving those citations?" Those are different questions, and the second one is harder to answer but more useful for actually improving your visibility.
Why Reddit and YouTube specifically?
It's worth explaining why these two platforms keep coming up. LLMs don't just cite any webpage -- they tend to cite sources that appear credible, frequently referenced, and rich in genuine user experience or expertise.
Reddit fits that profile because it's full of real people sharing real opinions, comparisons, and recommendations. A thread asking "what's the best project management tool for remote teams?" with 200 upvoted responses is exactly the kind of content LLMs draw on when answering similar questions. The r/seogrowth, r/entrepreneur, r/personalfinance, and hundreds of other communities are effectively training data and retrieval sources for AI search.
YouTube matters for similar reasons. Video transcripts are indexable, and LLMs increasingly cite video content as a source -- particularly for how-to queries, product reviews, and comparison content. A well-ranked YouTube video in your category can drive AI citations even if you never created it.
The implication: if you want to improve your AI visibility, you need to know what's being said about your category on Reddit and YouTube, not just what's on your own site. That means either participating in those communities authentically, creating content that gets discussed there, or at minimum understanding which conversations are shaping AI responses about your space.
What to look for when evaluating platforms
If offsite AI visibility is a priority for your team, here's what to actually check when evaluating tools:
Source-level citation data. Can the platform show you specific URLs being cited, not just domains? Knowing that reddit.com is a citation source is less useful than knowing which specific thread is being cited.
Reddit and YouTube as distinct channels. Does the platform treat these as separate data sources with their own analytics, or are they just lumped into "other citations"?
Competitor offsite analysis. Can you see which external sources are driving citations for competitors? This is often more valuable than your own data -- it tells you where you need to be present.
Connection to action. Knowing that a competitor is winning because of a Reddit thread is only useful if you can do something with that information. Does the platform help you identify content gaps, generate content, or prioritize where to focus?
Historical tracking. Offsite mentions fluctuate. A Reddit thread that's influential today might be less so in three months. Platforms that track changes over time are more useful than point-in-time snapshots.
The broader picture: onsite vs. offsite as a combined strategy
The most effective approach to AI visibility in 2026 isn't choosing between onsite and offsite monitoring -- it's treating them as two parts of the same system.
Your own content is what you control. You can optimize it, update it, structure it for AI retrieval, and track exactly how it performs. Platforms like Promptwatch give you the full loop here: find gaps, generate content, track results.
Offsite sources are what you influence. You can participate in Reddit communities, create content that gets discussed on YouTube, build relationships with sites that publish comparison articles, and earn mentions on the third-party pages that LLMs treat as authoritative. But you can only do this intelligently if you know which offsite sources actually matter for your category.
The brands that are winning in AI search right now are doing both. They're optimizing their own content for AI retrieval and they're actively managing their presence on the external sources that feed LLM responses. The platforms that help you do both are the ones worth paying for.
For most teams, Promptwatch is the most complete option for this combined approach -- particularly because it connects offsite insights to content creation and tracks the full path from gap identification to citation. Brand24 is a useful complement if you want broader social listening coverage beyond what dedicated AI visibility tools provide.
The monitoring-only tools (Otterly, Peec, AthenaHQ) are fine for basic citation tracking, but they'll leave you without the offsite context that increasingly determines who wins in AI search.