Key takeaways
- Promptwatch is the only platform in this comparison that covers the full loop: monitoring, content generation, crawler logs, and revenue attribution -- making it the strongest all-in-one choice for mid-market teams that want to act, not just watch.
- Profound has the deepest enterprise feature set and the most AI model coverage, but its pricing ($399/mo for multi-engine tracking) puts it at the high end for mid-market budgets.
- Otterly.AI is the most affordable entry point and earns strong user satisfaction scores, but it stops at monitoring -- there's no content generation, no crawler logs, and no traffic attribution.
- AthenaHQ fits teams that prioritize native analytics integrations (GA4, Google Search Console) and a clean self-serve experience, but it lacks content optimization and Reddit/YouTube tracking.
- For most mid-market teams, the right choice comes down to one question: do you need a dashboard that shows you what's happening, or a platform that helps you fix it?
The AI search visibility market has grown fast enough that there are now real differences between platforms -- not just in feature lists, but in what they actually help you do. Profound, Promptwatch, Otterly.AI, and AthenaHQ are four of the most-discussed options in 2026, and they're all targeting roughly the same buyer: marketing or SEO teams at companies with real budgets, real competitors, and real pressure to show up in ChatGPT, Perplexity, and Google AI Overviews.
But they're not the same product. Not even close.
This guide breaks down each platform honestly -- what it does well, where it falls short, and which type of mid-market team it actually fits.
What "mid-market" means for this comparison
Mid-market teams, for our purposes, are marketing or SEO teams at companies with 50-500 employees. They typically have:
- A dedicated marketing or SEO budget (but not enterprise-level spend)
- 2-5 people who would actively use the platform
- Real competitors they need to track
- A need to show ROI to leadership, not just report on metrics
- Limited time to stitch together multiple tools
That last point matters a lot. Mid-market teams can't afford to buy a monitoring tool, a content tool, a crawler tool, and an attribution tool separately. They need something that covers enough ground to be worth the subscription.
The four platforms at a glance
| Platform | Starting price | AI models tracked | Content generation | Crawler logs | Traffic attribution | Best for |
|---|---|---|---|---|---|---|
| Promptwatch | $99/mo | 10+ | Yes (Content Agents) | Yes | Yes | Teams that want monitoring + optimization in one place |
| Profound | $99/mo (ChatGPT only), $399/mo (multi-engine) | 10+ | No | No | Limited | Teams needing deep prompt intelligence and enterprise integrations |
| Otterly.AI | ~$29/mo | 5-6 | No | No | No | Teams that need affordable, simple monitoring |
| AthenaHQ | Self-serve pricing (not publicly disclosed) | 8+ | No | No | GA4/GSC integration | Teams that prioritize analytics integrations and clean UX |
Promptwatch: the platform built around fixing the problem, not just finding it
Most AI visibility tools show you a dashboard. Promptwatch shows you a dashboard and then helps you do something about what you see.
The core workflow is what Promptwatch calls the action loop. You track prompts across 10+ AI models (ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, Grok, DeepSeek, Copilot, Mistral, Meta AI). When you're not showing up for a prompt your competitor is winning, the Answer Gap Analysis surfaces that gap specifically -- not as a vague "you're missing coverage here" but as the actual prompt, the competitor who's winning it, and the content that's getting them cited.
From there, Content Agents generate articles, listicles, and comparison pages grounded in that prompt data. These aren't generic AI-written blog posts. They're built around the specific questions AI models are already answering, with competitor analysis, citation data, and brand guidance baked in. After you publish, page-level tracking shows whether the new content is getting crawled and cited, and by which models.
The AI Crawler Logs feature is something most competitors simply don't have. You can see exactly when ChatGPT's crawler or Perplexity's agent hit your site, which pages they read, and whether those visits turned into citations. That's genuinely useful for diagnosing why a page isn't getting picked up.
For mid-market teams, the pricing is reasonable relative to what you get. The Professional plan at $249/mo covers 2 sites, 150 prompts, 15 articles per month, crawler logs, and state/city-level tracking. That's a meaningful amount of capability for a team that would otherwise be paying for separate tools.
The one honest caveat: Promptwatch is a Dutch company (Amsterdam-based), which creates timezone friction for US-based teams needing real-time support. That's a real consideration, not a dealbreaker, but worth knowing.
Profound: the most comprehensive platform, at a price
Profound has built one of the most feature-rich platforms in the category. It has G2 Leader status, strong enterprise adoption, and a genuinely impressive prompt intelligence layer -- volume estimates, difficulty scores, query fan-outs that show how one prompt branches into sub-queries.
The challenge for mid-market teams is the pricing structure. Profound's $99/mo entry tier tracks ChatGPT only. To get multi-engine coverage (ChatGPT, Perplexity, AI Overviews), you're looking at $399/mo. For a mid-market team that needs to track 5+ AI models, the cost climbs quickly.
Profound also launched autonomous Agents and MCP (Model Context Protocol) support in 2026, which is genuinely interesting for teams that want to automate parts of their AI visibility workflow. But that's enterprise-tier functionality, and it comes with enterprise-tier complexity.
What Profound doesn't do: content generation. It's a monitoring and intelligence platform. If you want to act on what you find -- create the content that fills the gaps -- you need a separate tool. For mid-market teams that want a single platform, that's a meaningful gap.
Profound is the right choice if your team has the budget, needs the deepest possible prompt intelligence, and already has a content workflow you're happy with.
Otterly.AI: the most affordable option, with real limitations
Otterly.AI earned Gartner Cool Vendor recognition in 2025 and has strong user satisfaction scores (reportedly 4.9/5 across a significant number of reviews). Its pricing undercuts most competitors significantly -- you can get started for around $29/mo.
For teams that just need to know whether they're showing up in AI search results, Otterly.AI does that job cleanly. The interface is straightforward, setup is fast, and the monitoring coverage is solid for the price.
But the limitations are real. There's no content generation. No crawler logs. No traffic attribution. No Reddit or YouTube tracking. If you want to understand why you're not being cited, or what to do about it, Otterly.AI doesn't help with that. You'll see the gap; you won't get any guidance on closing it.
For a mid-market team with a tight budget and a separate content workflow already in place, Otterly.AI can work as a monitoring layer. For a team that wants one platform to cover the full AI visibility problem, it's not enough.
AthenaHQ: strong analytics integrations, monitoring-focused
AthenaHQ's clearest differentiator is its native analytics integrations. GA4 and Google Search Console connections are available on the self-serve plan, which means you can tie AI visibility data to your existing analytics stack without custom work. That's genuinely useful for teams that live in GA4 and want to see AI visibility alongside their other channel data.
AthenaHQ tracks 8+ AI models and has a clean, self-serve experience that mid-market teams can get up and running without a lengthy onboarding process. Its pricing isn't publicly disclosed, which makes direct comparison harder, but it's positioned as a self-serve product rather than an enterprise sale.
The limitations mirror Profound's in some ways: AthenaHQ is a monitoring platform. There's no content generation, no crawler logs, and no Reddit or YouTube tracking. According to Profound's own comparison (which, granted, is a biased source), AthenaHQ "fits a specific profile well: mid-market teams, self-serve budgets, and a primary need to know" -- meaning it's built for teams whose main goal is visibility data, not optimization.
If your team is already strong on content creation and just needs clean visibility data that integrates with GA4, AthenaHQ is worth a serious look. If you need the platform to help you create content that ranks in AI, it's not the right fit.
Head-to-head: what each platform actually does
Here's a more detailed feature breakdown across the dimensions that matter most for mid-market teams:
| Feature | Promptwatch | Profound | Otterly.AI | AthenaHQ |
|---|---|---|---|---|
| Prompt tracking | Yes (150+ on Pro) | Yes | Yes | Yes |
| AI models covered | 10+ | 10+ | 5-6 | 8+ |
| Answer gap analysis | Yes | Yes | No | Limited |
| Content generation | Yes (Content Agents) | No | No | No |
| AI crawler logs | Yes | No | No | No |
| Traffic attribution | Yes | Limited | No | Via GA4/GSC |
| Reddit/YouTube tracking | Yes | No | No | No |
| ChatGPT Shopping tracking | Yes | No | No | No |
| Competitor heatmaps | Yes | Yes | Limited | Yes |
| Multi-language/region | Yes | Yes | Limited | Yes |
| GA4/GSC integration | Yes | Yes | No | Yes |
| Pricing (entry) | $99/mo | $99/mo (ChatGPT only) | ~$29/mo | Not disclosed |
| Pricing (multi-engine) | $99/mo | $399/mo | ~$29/mo | Not disclosed |
The real question: monitoring or optimization?
This comparison keeps coming back to one fundamental difference. Three of these four platforms are monitoring tools. They show you data. They tell you where you're visible and where you're not. That's valuable, but it's only half the job.
Promptwatch is built around the idea that visibility data is only useful if you can act on it. The content generation layer, the crawler logs, the gap analysis that shows you the specific prompts you're losing -- these are all designed to close the loop between "we're not showing up here" and "we published something that fixed it."
For mid-market teams specifically, that matters. You don't have a dedicated GEO team. You probably don't have a separate content agency on retainer. You need a platform that helps you move from insight to action without adding headcount or tools.
Which platform fits which team
If you're a mid-market team trying to decide between these four, here's a direct take:
Choose Promptwatch if you want one platform that covers monitoring, content generation, crawler diagnostics, and revenue attribution. It's the strongest all-in-one option in this comparison, and the Professional plan at $249/mo is competitive for what it includes. The action loop -- find gaps, generate content, track results -- is genuinely differentiated.
Choose Profound if your team has the budget for $399/mo or more, needs the deepest possible prompt intelligence, and already has a strong content workflow. Profound's enterprise features and G2 standing are real, but you'll need separate tools for content creation.
Choose Otterly.AI if budget is the primary constraint and you just need basic monitoring. It's the most affordable option by a significant margin, and it works for teams that have content creation handled elsewhere and just want to know if they're showing up.
Choose AthenaHQ if your team lives in GA4 and Google Search Console and wants AI visibility data that integrates cleanly with your existing analytics stack. It's the best option for teams that prioritize analytics integrations over content optimization.
A note on what's missing from all of them
No platform in this comparison is perfect. Even Promptwatch has friction points -- the timezone gap for US teams is real, and some users report that the pricing tiers aren't fully transparent about what's included at each level without reaching out to sales.
Profound's pricing structure makes it hard to justify for teams that need multi-engine coverage without a significant budget. Otterly.AI's monitoring-only approach means you're always going to need something else alongside it. AthenaHQ's undisclosed pricing makes it harder to evaluate without a sales conversation.
The AI visibility market is also moving fast. Profound shipped autonomous Agents and MCP support in 2026. AthenaHQ added Shopify revenue attribution. Promptwatch continues to expand its citation database (now tracking data from 10 AI models across real user interfaces, not just API outputs). Whatever you choose, expect the feature set to look different in six months.
The most important thing is to match the platform to what your team actually needs to do -- not just what looks good in a feature comparison table. If you need to act on what you find, that narrows the field considerably.