Key takeaways
- YouTube overtook Reddit as the top cited social platform in AI search in 2026, with YouTube holding 39.2% of social citations vs. Reddit's declining share
- Reddit's AI citation share dropped roughly 50% between October 2025 and January 2026, but Reddit citations still carry outsized influence in specific AI models like Google AI Overviews
- Most Hall AI alternatives only monitor social citations -- they show you the data but don't help you do anything with it
- A handful of platforms now track Reddit threads and YouTube videos as citation sources, not just your own website
- The best tools in 2026 combine social citation tracking with content gap analysis so you can actually fix the gaps you find
What happened to Hall AI (and why it matters for social citation tracking)
Hall AI's shutdown left a specific gap in the market: teams that were using it to monitor how Reddit threads and YouTube videos were influencing AI-generated answers about their brand. That's a narrower problem than general AI visibility tracking, and it turns out most tools don't solve it well.
The timing is awkward. Social citations in AI search are having a moment -- or rather, they're in the middle of a significant shift. According to Adweek, YouTube has overtaken Reddit as the most frequently cited social platform in AI-generated responses, with YouTube's share doubling to 39.2% in six months. Meanwhile, Conductor's research found Reddit's AI citation share dropped roughly 50% between October 2025 and January 2026.
That doesn't mean Reddit is irrelevant. It means the picture is more complicated. Reddit still accounts for 44% of social media citations in Google AI Overviews specifically, while only 5% of Gemini's social citations come from Reddit. The platform-by-platform variation is huge, and that's exactly why you need a tool that breaks it down rather than giving you an aggregate number.
So: Hall AI is gone, the social citation landscape is shifting fast, and you need a replacement. Here's what's actually available.
Why social citation tracking is harder than it looks
Before getting into the tools, it's worth understanding why this is a genuinely difficult problem.
Most AI visibility platforms track citations to your own website. They ask AI models questions related to your brand or category, then record whether your domain appears in the response. That's useful, but it misses a big part of the picture.
AI models don't just cite your website. They cite Reddit threads where users discuss your product. They cite YouTube reviews and tutorials. They cite forum posts, comparison articles, and third-party listicles. If a Reddit thread from two years ago is telling ChatGPT that your product has poor customer service, you won't see that in a standard citation report -- because the citation isn't pointing to your domain.
OtterlyAI's large-scale study of 100 million AI citations found that YouTube represented 31.8% of social media citations across AI platforms, and that long-form reference-style videos dominate (YouTube Shorts accounted for just 5.7% of citations). Popularity metrics like views and subscriber count had near-zero correlation with citation frequency. That's a counterintuitive finding that changes how you should think about YouTube as a citation channel.
The tools below vary significantly in how well they handle this offsite citation layer.
The best Hall AI alternatives for social citation tracking in 2026
Promptwatch
Promptwatch is the most complete option if you want to track social citations and actually do something about them. It's the only platform in this comparison that combines Reddit and YouTube citation tracking with content gap analysis and AI content generation -- meaning you can see which Reddit threads or YouTube videos are influencing AI responses about your brand, then create content to counter or complement them.
The offsite citation analysis is what makes it relevant here. Promptwatch tracks which external citations -- Reddit posts, YouTube videos, third-party listicles, and brand mentions -- are driving AI visibility outside your own site. That's the Hall AI replacement functionality most teams are actually looking for.
It also tracks 10 AI models (ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Claude, Gemini, Meta/Llama, DeepSeek, Grok, Mistral, Copilot), which matters because Reddit's citation share varies wildly by model. You need per-model breakdowns, not averages.
The action loop is what separates it from monitoring-only tools: find the gap (Answer Gap Analysis shows which prompts competitors rank for but you don't), create content to fill it (Content Agents generate articles grounded in real citation data), and track whether the new content gets cited. Most Hall AI alternatives stop at step one.
Pricing starts at $99/month for the Essential plan.
Otterly.AI
Otterly.AI published the large-scale YouTube citation study mentioned above, which tells you they're thinking seriously about social citations as a category. Their monitoring covers ChatGPT, Perplexity, and Google AI Overviews, and they track brand mentions across those platforms.
Otterly.AI
The platform is solid for monitoring. The limitation is that it's primarily a tracking tool -- it shows you where you appear and where you don't, but the path from "I'm not being cited" to "here's what to do about it" isn't built in. For teams that just want clean data on social citation trends, it's a reasonable choice. For teams that want to act on that data, you'll need to pair it with something else.
Profound
Profound is an enterprise-grade AI visibility platform that tracks brand mentions across 9+ AI search engines. It's been cited in research on Q1 2026 AI citation trends, which suggests their data is being used as a reference point in the industry.
Profound
The platform covers the major AI models and provides detailed citation analysis. Reddit and YouTube tracking exists within their citation source analysis, though the depth varies. It's positioned at the enterprise end of the market, with pricing to match. If your organization needs enterprise-grade reporting and has budget for it, Profound is worth evaluating. If you're a mid-market team, the cost-to-value ratio may not work in your favor.
Conductor
Conductor has been actively publishing research on Reddit AI citation trends -- their analysis of Reddit's 50% citation share decline is one of the more cited pieces on the topic in 2026. That research orientation suggests the platform is tracking social citations as a meaningful data category.
Their platform tracks brand authority and citations in AI search engines, and the research they publish gives you a sense of the analytical depth available. It's a more established player with roots in traditional SEO, which means the AI citation tracking is layered on top of a broader platform rather than being the core focus.
Scrunch AI
Scrunch AI is an AI-powered SEO tracking and visibility platform that covers brand mentions across LLMs. It's one of the more feature-complete options in the mid-market.
For social citation tracking specifically, Scrunch covers citation source analysis that includes social platforms. The platform is worth evaluating if you want a balance between depth and price, though it doesn't have the content generation capabilities that would let you close the loop from tracking to optimization.
Peec AI
Peec AI focuses on AI search visibility tracking for marketing teams. It's a monitoring-first platform that covers the major AI models and provides citation analysis.
Like most monitoring-only tools, Peec AI will show you where citations are coming from -- including social sources -- but doesn't help you act on that information. It's a reasonable choice for teams that have a separate content workflow and just need clean tracking data.
AthenaHQ
AthenaHQ is a monitoring-focused platform that tracks brand visibility across AI search engines. It's been included in several 2026 platform comparisons as a solid tracker.
The honest assessment: AthenaHQ is good at showing you data. It doesn't have content optimization or generation capabilities, so if your goal is to improve your social citation profile rather than just monitor it, you'll hit a ceiling quickly. That said, for teams that want straightforward monitoring without the complexity of a full GEO platform, it's a clean option.
Feature comparison: Hall AI alternatives for social citation tracking
| Platform | Reddit tracking | YouTube tracking | Per-model breakdown | Content generation | Offsite citation analysis | Starting price |
|---|---|---|---|---|---|---|
| Promptwatch | Yes | Yes | Yes (10 models) | Yes | Yes | $99/mo |
| Otterly.AI | Yes | Yes | Partial | No | Partial | Custom |
| Profound | Yes | Yes | Yes (9+ models) | No | Partial | Enterprise |
| Conductor | Yes | Yes | Partial | No | Partial | Custom |
| Scrunch AI | Yes | Partial | Yes | No | Partial | Custom |
| Peec AI | Partial | Partial | Yes | No | No | Custom |
| AthenaHQ | Partial | Partial | Yes | No | No | Custom |
What to actually look for when replacing Hall AI
The tools above vary a lot, and the right choice depends on what you were actually using Hall AI for. A few questions worth asking before you commit:
Do you need per-model breakdowns? Reddit's citation share is 44% in Google AI Overviews but only 5% in Gemini. If you're only seeing aggregate numbers, you're missing the story. Make sure the platform you choose breaks citations down by AI model, not just by platform.
Do you need offsite citation tracking? If you want to know which specific Reddit threads or YouTube videos are influencing AI responses about your brand, you need a platform that tracks citations to external domains, not just your own site. This is the feature most tools either skip or handle superficially.
Do you need to act on what you find? Monitoring tells you there's a problem. Optimization helps you fix it. If you find that a Reddit thread from 2023 is driving negative AI citations about your brand, knowing that is step one -- but you also need a path to creating content that gives AI models a better answer to cite. Most platforms stop at step one.
How many AI models do you need to track? YouTube's citation share varies by model. Reddit's citation share varies by model. If you're only tracking two or three AI engines, you're getting an incomplete picture of where your social citations actually stand.
The bigger picture: social citations are becoming a content strategy problem
The shift from Reddit to YouTube as the top AI citation source isn't just a data point -- it changes what you should be creating. OtterlyAI's research found that AI engines overwhelmingly cite long-form, reference-style YouTube videos. Shorts barely register. Views and subscriber counts don't predict citation frequency. That means a well-structured explainer video from a small channel can outperform a viral short from a major creator in terms of AI citation value.
That's a genuinely useful insight, but only if you have a tool that surfaces it for your specific brand and category. Generic industry data tells you the trend. Platform-specific citation tracking tells you which videos are actually influencing AI responses about your products.
The same logic applies to Reddit. Even as Reddit's overall citation share declines, specific subreddits and threads continue to carry significant weight in certain AI models. Knowing which threads matter for your brand -- and whether those threads are positive or negative -- is the actual intelligence you need.
Tools like Promptwatch are built around this kind of specificity. The goal isn't to tell you that YouTube citations are up industry-wide; it's to show you exactly which YouTube videos and Reddit threads are shaping what AI models say about your brand, then help you do something about it.
For teams coming off Hall AI, that's the bar worth holding new tools to.
Bottom line
Hall AI's shutdown is inconvenient timing given how fast the social citation landscape is moving. YouTube overtaking Reddit as the top AI citation source, Reddit's 50% citation share decline, and the sharp variation in social citation behavior across different AI models -- all of this is happening right now, and you need a tool that can track it.
Most alternatives will give you monitoring. A smaller number will give you the per-model breakdowns and offsite citation analysis you need to understand what's actually happening. Fewer still will help you act on what you find.
If social citation tracking is your primary need, Otterly.AI and Profound are worth evaluating. If you want to track social citations and then do something about them, Promptwatch is the most complete option available in 2026.