Key takeaways
- All five platforms can track brand mentions in AI search engines, but they diverge sharply on what you can do with that data.
- Promptwatch is the only platform in this group that closes the loop from gap discovery to content creation to citation tracking.
- Profound and Otterly.AI offer the deepest analytics for enterprise teams, but neither generates content to fix the gaps they surface.
- Peec AI is the fastest to set up and works well for mid-market teams that want a clean dashboard without complexity.
- AthenaHQ positions itself as action-oriented, but its content workflow is still more manual than Promptwatch's automated Content Agents.
The GEO platform market has gotten genuinely crowded. Eighteen months ago, you could count the serious players on one hand. Now there are dozens, and most of them look similar at first glance: a dashboard, some prompt tracking, a visibility score. The real differences only show up when you push them on a specific use case.
So that's what we did. We picked a niche B2B scenario -- a mid-size SaaS company selling procurement automation software to enterprise buyers -- and ran the same set of prompts through all five platforms. Prompts like "what's the best procurement automation software for enterprise?", "which tools do procurement teams use to reduce PO cycle time?", and "compare Coupa vs Jaggaer vs [brand name]". The kind of prompts a real buyer might type into ChatGPT or Perplexity before shortlisting vendors.
Here's what we found.
The five platforms at a glance
Before getting into the test results, a quick orientation on each platform's positioning.
Promptwatch markets itself as an end-to-end GEO platform -- not just a tracker but a full workflow from visibility monitoring to content generation to citation attribution. It's used by 1,480+ brands including Booking.com and Center Parcs.
Profound is the enterprise-grade option. It covers 9+ AI engines, has strong crawler log functionality, and is priced accordingly at $499/month and up.
Profound
Peec AI targets mid-market marketing teams. It's quicker to set up than Profound, has a clean interface, and covers the core monitoring use case without a lot of overhead.
Otterly.AI has built a reputation for citation analysis depth and multi-engine coverage. It also has an MCP server integration, which is interesting for AI-native teams.
Otterly.AI
AthenaHQ claims to go beyond monitoring with its "Athena Citation Engine" (ACE), which is supposed to identify content gaps and draft optimizations autonomously.
The test: same prompts, five platforms
We tracked 30 B2B procurement prompts across all five platforms for two weeks. The prompts ranged from broad category queries ("best procurement software") to specific comparison queries ("Coupa vs Jaggaer vs [brand]") to use-case queries ("how to reduce purchase order approval time").
Here's what each platform showed us -- and more importantly, what each platform helped us do about it.
Prompt tracking and AI engine coverage
All five platforms tracked our prompts. But coverage varied.
Profound and Promptwatch both cover 10+ AI engines. Otterly.AI covers a solid multi-engine set with strong engine-comparison analytics. AthenaHQ claims 8+ LLMs. Peec AI covers the three main ones (ChatGPT, Gemini, Perplexity) but has limited coverage beyond that -- which matters if your buyers are using Claude or Copilot, which B2B buyers increasingly are.
For our procurement prompts, this meant Peec AI missed some responses entirely. Not a dealbreaker for teams focused on ChatGPT and Perplexity, but worth knowing.
What the visibility data actually looked like
On our brand visibility scores, all five platforms told roughly the same story: we were appearing in about 20-25% of relevant AI responses, competitors were appearing in 60-70%, and we had a clear gap in "use-case" prompts (the "how to reduce PO cycle time" type) versus category prompts.
The difference was in what each platform did with that information.
Profound gave us the most detailed breakdown -- visibility by engine, by prompt type, by competitor. The crawler logs showed exactly which pages the AI engines were reading before generating responses. That's genuinely useful for a technical SEO team.
Otterly.AI's citation analysis was strong. It showed us which specific sources were being cited in competitor-favorable responses -- including Reddit threads and industry publications we hadn't considered.
Peec AI's dashboard was the cleanest. The visibility score was easy to understand, the competitor benchmarking was clear, and the interface didn't require a 45-minute onboarding call. For a marketing manager who needs to report to leadership, Peec AI's output is the most presentation-ready.
AthenaHQ surfaced the gaps clearly and framed them as "optimization tasks." The ACE system generated some content suggestions, though in practice these felt more like briefs than finished content -- you still need a writer to execute them.
Promptwatch showed us the gaps and then let us do something about them immediately. The Answer Gap Analysis identified the specific prompts where competitors were visible and we weren't. Then Content Agents generated full articles targeting those gaps, grounded in the actual prompt data, citation patterns, and competitor analysis. We published two pieces during the two-week test and could track exactly when AI crawlers picked them up and when citations started appearing.
Feature comparison table
| Feature | Peec AI | Profound | Promptwatch | Otterly.AI | AthenaHQ |
|---|---|---|---|---|---|
| AI engines covered | 3 core | 9+ | 10+ | Multi | 8+ |
| Prompt tracking | Yes | Yes | Yes | Yes | Yes |
| Citation analysis | Yes | Yes | Yes | Yes | Yes |
| Competitor benchmarking | Yes | Yes | Yes | Yes | Yes |
| Crawler logs / agent analytics | No | Yes | Higher plans | Beta | No |
| Content gap analysis | No | Partial | Yes | Yes | Yes |
| Content generation | No | No | Yes | No | Partial (briefs) |
| Reddit / YouTube tracking | No | No | Yes | No | No |
| ChatGPT Shopping tracking | No | No | Yes | No | No |
| Traffic / revenue attribution | No | Yes | Yes | No | Yes (Shopify/GA) |
| Prompt volume / difficulty scoring | No | Partial | Yes | No | No |
| Starting price | ~$99/mo | $499/mo | $99/mo | Custom | Custom |
| Free trial | Yes | No | Yes | No | No |
Where each platform wins
Peec AI: best for clean, fast monitoring
If your team needs to get up and running quickly, report visibility scores to stakeholders, and track a handful of core prompts, Peec AI is the least friction option. The interface is genuinely pleasant. Setup takes minutes. The competitor benchmarking is easy to read.
The tradeoff: you'll hit a ceiling fast. There's no content generation, no crawler logs, no Reddit tracking, and limited engine coverage. It's a monitoring dashboard, not an optimization platform. For a team just starting to think about GEO, that might be fine. For a team that wants to actually move the needle, you'll outgrow it.
Profound: best for enterprise analytics depth
Profound's crawler logs are the standout feature. Being able to see exactly which pages AI engines are reading -- and which ones are throwing errors -- is the kind of technical insight that a serious SEO team can act on. The visibility data is detailed, the engine comparison is strong, and the historical tracking is solid.
The price ($499/month and up) reflects the enterprise positioning. And like most of the platforms here, Profound stops at the data layer. It tells you what's wrong but doesn't help you fix it. For a team with dedicated content resources that can act on the insights, that's fine. For a leaner team, it's a lot of money for a dashboard.
Otterly.AI: best for citation intelligence
Otterly.AI's citation analysis is the most detailed of the five. It surfaces which specific sources -- including Reddit threads, YouTube videos, and third-party publications -- are influencing AI responses in your category. That's genuinely useful for an offsite content strategy.
The MCP server integration is interesting for teams that want to query their brand data directly from AI tools. It's a niche feature but a smart one for AI-native workflows.
Like Profound, Otterly.AI doesn't generate content. The GEO content audit feature helps you understand what's missing, but execution is on you.
AthenaHQ: best for structured optimization tasks
AthenaHQ's framing of visibility data as "optimization tasks" is useful. Rather than just showing you a gap, it tells you what to do about it in a structured way. The ACE system's autonomous identification of content opportunities is a step beyond pure monitoring.
The revenue attribution through Shopify and Google Analytics integrations is a real differentiator for e-commerce and direct-response teams. If you need to connect AI visibility to actual sales, AthenaHQ has a clearer path than most.
The limitation is that "optimization tasks" and "content briefs" still require a human to write the content. It's more actionable than a pure monitoring dashboard, but it's not a closed loop.
Promptwatch: best for teams that want to actually fix the problem
The core difference with Promptwatch is that it doesn't stop at the data. The Answer Gap Analysis shows you exactly which prompts competitors are winning that you're not. Then Content Agents generate the articles, listicles, and comparisons designed to close those gaps -- grounded in real prompt data, citation patterns, and competitor analysis, not generic SEO templates.
During our two-week test, we published two pieces targeting specific procurement prompts where we had zero visibility. By day 10, Promptwatch's agent analytics showed AI crawlers had picked up both pages. By day 14, one of them had generated its first citation in a Perplexity response.
That's the loop: find the gap, generate the content, track the result. No other platform in this test completed that loop without requiring significant manual work in between.
The AI crawler logs (available on Professional and Business plans) also gave us something the others couldn't: real-time visibility into which pages AI engines were reading, how often they returned, and what errors they encountered. That's the kind of technical signal that explains why some pages get cited and others don't.
Promptwatch also tracks Reddit and YouTube -- two channels that heavily influence AI recommendations but that most platforms ignore entirely. For B2B categories where Reddit discussions and YouTube reviews shape AI responses, that's not a minor feature.
The B2B-specific verdict
For a B2B SaaS company in a niche category like procurement automation, the prompt landscape is actually more manageable than consumer categories. There are fewer high-volume prompts, but the ones that exist are high-intent and directly tied to purchase decisions. A buyer asking "what's the best procurement automation software for enterprise?" is not casually browsing.
That specificity makes the gap analysis more actionable. You don't need to rank for thousands of prompts -- you need to rank for the 30-50 that matter to your buyers. And you need to rank for them consistently across ChatGPT, Perplexity, Claude, and Gemini, because B2B buyers are using all of them.
Here's how the five platforms stack up for that specific scenario:
- If you're just starting out and need to understand your baseline visibility: Peec AI gets you there fastest.
- If you have a technical SEO team and need deep crawler and citation data: Profound is worth the price.
- If offsite citation strategy is your priority: Otterly.AI's citation intelligence is the strongest.
- If you need to connect AI visibility to revenue and have Shopify or GA integrations: AthenaHQ's attribution is useful.
- If you want to find the gaps and actually close them without a separate content team: Promptwatch is the only platform that does this end-to-end.
The honest answer for most B2B marketing teams is that monitoring alone isn't enough. Knowing you're invisible in 75% of relevant AI responses is useful information. But it's only useful if you can do something about it. That's where most of these platforms leave you hanging.
Pricing reality check
| Platform | Entry price | What you get |
|---|---|---|
| Peec AI | ~$99/mo | Basic monitoring, 3 engines, clean dashboard |
| Profound | $499/mo | Enterprise analytics, crawler logs, 9+ engines |
| Promptwatch | $99/mo (Essential) / $249/mo (Professional) | Full stack: tracking, crawler logs, content generation, Reddit/YouTube |
| Otterly.AI | Custom | Citation analysis, MCP integration, multi-engine |
| AthenaHQ | Custom | Monitoring + optimization tasks, revenue attribution |
Promptwatch's pricing is worth noting here. The Essential plan at $99/month covers 1 site, 50 prompts, and 5 articles -- which is enough for a focused B2B brand to start seeing results. The Professional plan at $249/month adds crawler logs, 150 prompts, and 15 articles per month. For context, Profound charges $499/month for analytics depth that Promptwatch matches or exceeds on most dimensions, without the content generation.
Bottom line
These five platforms are not interchangeable. They're built for different teams with different priorities.
If you're a lean B2B marketing team that needs to improve AI visibility without hiring a content agency, Promptwatch is the most complete option. The gap analysis tells you what's missing, the Content Agents help you create it, and the tracking shows you when it starts working. That's a workflow, not just a dashboard.
If you're an enterprise team with dedicated technical SEO resources and a separate content team, Profound's depth is hard to beat. Pair it with a content operation and you have a strong setup.
If you're just getting started and want to understand the landscape before committing to a full platform, Peec AI's low friction and clean interface make it a reasonable starting point.
The platforms that position themselves as "action-oriented" -- AthenaHQ and, to some extent, Otterly.AI -- are closer to the right idea than pure monitoring tools. But in practice, the action still requires significant human effort. Promptwatch is the one platform where the loop from data to published content to tracked results is actually automated.
For B2B teams in niche categories where every AI citation matters, that difference is significant.