Key takeaways
- Most AI visibility platforms are monitoring dashboards — they tell you what's wrong but don't help you fix it.
- Promptwatch is the only platform in this comparison with a full action loop: gap analysis, AI content generation, and traffic attribution in one place.
- Profound has strong enterprise monitoring features and a large prompt dataset, but content optimization is limited.
- AthenaHQ covers multi-LLM tracking well but stays firmly in the monitoring lane.
- Otterly.AI is the most affordable entry point, but it lacks crawler logs, content tools, and traffic attribution.
- If you're a brand or agency that wants to actually improve AI visibility (not just measure it), Promptwatch is the clearest choice.
The AI search category has a dirty secret: most platforms in it are just dashboards. They show you a score, maybe a competitor heatmap, and then... nothing. You know you're invisible on ChatGPT for a dozen important prompts. Great. Now what?
That gap between "knowing" and "fixing" is where most teams get stuck. And it's the most important thing to evaluate when choosing between Profound, Promptwatch, AthenaHQ, and Otterly.AI.
This guide is a direct comparison of all four. I'll cover what each platform actually does, where it stops, who it's built for, and which one is worth your money if you want to move the needle on AI visibility in 2026.
The monitoring-only trap explained
Before getting into the tools, it's worth naming the problem clearly.
When AI search visibility became a real concern for marketers (roughly 2024-2025), a wave of platforms launched to track it. The core pitch: "See how often your brand appears in ChatGPT, Perplexity, Claude, and Gemini responses."
That's useful. But most platforms stopped there. They built monitoring dashboards and called it optimization. The result is that teams end up with a weekly report showing their visibility score dropped, a list of prompts where competitors are mentioned and they're not, and no clear path to doing anything about it.
Real optimization requires three things: finding the gaps, creating content that fills them, and tracking whether it worked. Most platforms only do the first step. Some don't even do that well.
Platform overviews
Profound
Profound positions itself as an enterprise AI visibility platform. It tracks brand mentions across major LLMs, shows share of voice against competitors, and surfaces which prompts are driving visibility for your category.
The platform's data scale is genuinely impressive. One third-party review cited 400M+ prompt insights, and Profound has SOC 2 Type II certification, which matters for enterprise procurement. It covers 10+ AI engines and has a reasonably clean interface for drilling into prompt-level data.
Where Profound falls short is on the action side. It's strong at showing you what's happening in AI responses, but it doesn't generate content, doesn't have a built-in writing agent, and doesn't offer AI crawler logs to show you how AI bots are actually crawling your site. For teams that want to go from "we're invisible for this prompt" to "here's the article we published to fix it," Profound requires you to leave the platform and figure that out elsewhere.
Pricing starts at $99/month with a 7-day free trial, which is reasonable for what it offers. But at higher tiers, costs scale up significantly for enterprise features.
Promptwatch
Promptwatch is built around a different premise than the others: monitoring is only useful if it leads to action. The platform covers the full loop from gap identification to content creation to traffic attribution.
The Answer Gap Analysis shows exactly which prompts competitors rank for in AI responses that you don't. Not just "you're missing this topic" but the specific questions AI models are answering with competitor content instead of yours. From there, the built-in AI writing agent generates articles, listicles, and comparisons grounded in 880M+ citations analyzed across real AI responses. This isn't generic content generation — it's writing engineered to get cited by the specific models you're targeting.
A few capabilities that stand out compared to the others in this comparison:
- AI Crawler Logs: Real-time logs of when ChatGPT, Claude, Perplexity, and other AI crawlers hit your site, which pages they read, and any errors they encounter. Most competitors don't have this at all.
- Prompt Intelligence: Volume estimates and difficulty scores per prompt, plus query fan-outs showing how a single prompt branches into related sub-queries. This lets you prioritize winnable prompts instead of guessing.
- Reddit and YouTube tracking: Surfaces discussions that directly influence AI recommendations, a channel most platforms ignore entirely.
- ChatGPT Shopping tracking: Monitors when your brand appears in ChatGPT's product recommendation carousels.
- Traffic attribution: Code snippet, GSC integration, or server log analysis to connect AI visibility to actual revenue.
Promptwatch monitors 10 AI models: ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Claude, Gemini, Meta/Llama, DeepSeek, Grok, Mistral, and Copilot. It's used by 6,700+ brands and agencies including Booking.com and Center Parcs.
Pricing: Essential at $99/month (1 site, 50 prompts, 5 articles), Professional at $249/month (2 sites, 150 prompts, 15 articles, crawler logs), Business at $579/month (5 sites, 350 prompts, 30 articles). Free trial available.
AthenaHQ
AthenaHQ focuses on multi-LLM enterprise visibility tracking. It covers 8+ AI search engines and gives teams a clear view of brand mentions, sentiment, and share of voice across models. The interface is clean and the data is solid.
Like Profound, AthenaHQ is a monitoring-first platform. It doesn't have content generation, no AI crawler logs, and no traffic attribution. The platform is good at answering "where are we visible?" but not "what do we do about it?"
At $295/month with no free trial, it's the most expensive option in this comparison for what amounts to a monitoring dashboard. That price point makes more sense for enterprise teams that already have content production workflows and just need the data layer. For smaller teams or agencies that need the full stack, it's hard to justify.
Otterly.AI
Otterly.AI is the most accessible entry point in this group. At $29/month with a 7-day free trial, it's built for teams that want basic AI visibility monitoring without a large budget commitment.
It tracks brand mentions across major LLMs, shows competitor comparisons, and gives you a reasonable overview of where you stand. For a first look at your AI visibility, it works.
The limitations are significant though. Otterly has no crawler logs, no visitor analytics, no content generation, and no traffic attribution. One independent review noted that "Otterly stops at monitoring — no closed-loop content execution or strategic recommendations. The platform lacks GA4, GSC, or Semrush integrations." For teams that want to actually improve their AI visibility, Otterly gives you the problem statement but none of the tools to solve it.
Feature comparison
| Feature | Profound | Promptwatch | AthenaHQ | Otterly.AI |
|---|---|---|---|---|
| Multi-LLM tracking | 10+ | 10 | 8+ | Major LLMs |
| Share of voice / visibility score | Yes | Yes | Yes | Yes |
| Competitor analysis | Yes | Yes | Yes | Basic |
| Answer gap analysis | Limited | Yes | No | No |
| AI content generation | No | Yes | No | No |
| AI crawler logs | No | Yes | No | No |
| Prompt volume + difficulty | No | Yes | No | No |
| Query fan-outs | No | Yes | No | No |
| Reddit + YouTube tracking | No | Yes | No | No |
| ChatGPT Shopping tracking | No | Yes | No | No |
| Traffic attribution | No | Yes (3 methods) | No | No |
| GSC / analytics integration | No | Yes | No | No |
| Multi-language / multi-region | Limited | Yes | Yes | Limited |
| Free trial | 7 days | Yes | No | 7 days |
| Starting price | $99/mo | $99/mo | $295/mo | $29/mo |
Who each platform is actually for
Profound makes the most sense for enterprise teams that need reliable, SOC 2-certified monitoring data and are already staffed to act on it. If you have a content team that will take the insights and run with them independently, Profound's data quality is strong. It's less useful if you need the platform itself to help you close the loop.
Promptwatch is the right choice for marketing teams, SEO teams, and agencies that want to actually improve their AI visibility, not just track it. The combination of gap analysis, content generation, crawler logs, and traffic attribution means you can run the full optimization cycle inside one platform. The $249/month Professional tier is where most teams will land, and the crawler logs alone justify the upgrade from Essential.
AthenaHQ fits large enterprise teams that have specific procurement requirements (security, compliance, dedicated support) and need multi-LLM monitoring at scale. The price is hard to justify for anyone who doesn't have those requirements.
Otterly.AI is a reasonable starting point for small businesses or solo marketers who want to understand their AI visibility before committing to a larger platform. Think of it as a proof-of-concept tool rather than a long-term solution.
The content generation question
This is worth spending a moment on because it's where the platforms diverge most sharply.
Generating content that gets cited by AI models is not the same as writing content for Google. AI models cite sources based on how well they answer specific questions, the authority of the domain, and whether the content matches the framing of the prompt. Generic SEO content doesn't cut it.
Promptwatch's writing agent is built specifically for this. It uses citation data from 880M+ analyzed AI responses to understand what kinds of content get cited, for which prompts, by which models. The output is articles and comparisons engineered for AI citation, not just keyword density.
None of the other three platforms in this comparison have anything equivalent. Profound, AthenaHQ, and Otterly.AI will tell you that you're missing visibility for a prompt. Promptwatch will tell you that, then generate the article to fix it, then track whether the fix worked.
A note on Reddit and YouTube
One thing that surprised me when digging into this category: most platforms completely ignore Reddit and YouTube as citation sources. But AI models cite Reddit threads and YouTube videos constantly, especially for product recommendations and comparisons.
Promptwatch surfaces Reddit discussions and YouTube content that directly influence AI recommendations in your category. If a Reddit thread is being cited by ChatGPT every time someone asks about your product category, you probably want to know about it. No other platform in this comparison tracks this.
The verdict
If the question is "which platform breaks out of the monitoring-only trap," the answer is Promptwatch. It's the only one of these four that covers the full cycle: find the gaps, create content that fills them, track the results, and connect visibility to revenue.
Profound is a solid monitoring platform with strong data, but it stops at the dashboard. AthenaHQ is expensive for what it offers. Otterly.AI is a fine starting point but not a long-term solution.
The real question for most teams isn't which monitoring dashboard to buy. It's whether you want a tool that just shows you the problem or one that helps you solve it.
For teams serious about AI search visibility in 2026, the monitoring-only approach is a dead end. The category has matured enough that "we track your visibility" is table stakes. What matters now is what happens after the tracking.