Key takeaways
- Most AI visibility platforms track your brand mentions but can't tell you whether a specific content update caused a change in citations.
- Promptwatch is the only platform in this comparison that closes the full loop: find gaps, generate content, then track whether that content gets cited by AI models.
- Profound is the strongest enterprise option for broad reporting but costs significantly more and doesn't include content generation.
- Peec AI is a solid mid-market analytics tool, but it's monitoring-only -- you get the data, not the fix.
- Otterly.AI is the most affordable entry point and fine for basic tracking, but it lacks the depth needed for serious before/after analysis.
- Scrunch has useful crawler and traffic insights but is more enterprise-focused and doesn't offer content generation either.
So you published a new article. Maybe you rewrote a product page, added an FAQ section, or created a dedicated comparison piece targeting a specific AI prompt. Now you want to know: did it work? Did ChatGPT start citing you? Did Perplexity pick it up?
This is where most AI visibility tools fall apart. They'll show you your overall brand mention score, your share of voice across models, maybe a nice chart. But connecting a specific content update to a specific change in AI citations? That's a much harder problem -- and only a few platforms even attempt it.
This guide compares five of the most-discussed platforms in 2026 specifically through that lens: how well do they support before/after content tracking?
What "before/after content tracking" actually requires
Before getting into the tools, it's worth being precise about what this workflow actually demands. When you publish or update content and want to measure its impact on AI visibility, you need at least four things:
- A baseline -- what was your citation rate for a given prompt before the update?
- Page-level tracking -- which specific URLs are being cited, not just your domain overall?
- Crawl detection -- did the AI crawlers actually visit your new or updated page?
- Attribution -- did citations increase after the crawl, and for which prompts?
Most platforms handle point 1 reasonably well. Points 2, 3, and 4 are where they diverge sharply.
The five platforms compared
Promptwatch
Promptwatch is the most complete platform for this specific use case, and it's not particularly close.
The core workflow is built around what Promptwatch calls the "action loop": find gaps, create content, track results. For before/after content tracking, this translates directly. The Answer Gap Analysis shows you which prompts competitors are being cited for that you're not -- so you know exactly what content to create. Content Agents then generate articles, comparisons, or briefs grounded in real prompt data. And once you publish, page-level tracking shows exactly which URLs are being cited, how often, and by which AI models.
The feature that makes Promptwatch genuinely different here is AI Crawler Logs (called Agent Analytics). These are real-time logs showing when AI crawlers from ChatGPT, Perplexity, Claude, and others visit your site -- which pages they read, any errors they hit, and how often they return. You can see the timeline from publish to crawl to citation. That's the missing piece most platforms don't have at all.
Traffic attribution connects visibility to actual revenue, so you're not just watching citation counts go up -- you can see whether those citations are driving clicks and conversions.
Pricing starts at $99/month (Essential: 1 site, 50 prompts). The Professional plan at $249/month adds crawler logs, which is the tier you'd want for serious before/after tracking. Covers 10 AI models: ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Claude, Gemini, Meta/Llama, DeepSeek, Grok, and Copilot.
Peec AI
Peec AI is a well-built analytics platform that's grown quickly -- reportedly $4M+ ARR in its first ten months, which is real traction. It covers multiple AI models, supports multi-language tracking, and has a clean interface that's easier to navigate than some enterprise alternatives.
For before/after content tracking, Peec AI gives you solid prompt-level visibility scores and brand mention tracking. You can set up prompts, track them over time, and see trends. What it doesn't do is tell you why those trends changed. There are no crawler logs, no page-level citation tracking, and no content generation tools. If your visibility score goes up after a content update, you'll know it went up -- but you won't know if it was because of your new article, a competitor's page going down, or just model drift.
Pricing: Starter at $95/month (50 prompts, 3 AI models), Pro at $245/month (150 prompts, 2 projects), Advanced at $495/month (350 prompts, multi-country, GSC/GA/Looker integrations). The pricing structure is similar to Promptwatch but without the content generation or crawler log capabilities.
For teams that just want clean analytics dashboards and don't need to act on the data directly within the platform, Peec AI is a reasonable choice. For before/after content tracking specifically, it's limited.
Profound
Profound raised $155M and hit a $1B valuation, which means it has the resources to build deep features -- and it shows. The platform is genuinely strong for enterprise reporting: broad AI model coverage, stakeholder-ready dashboards, and serious depth in competitive analysis.
For before/after content tracking, Profound does better than Peec AI or Otterly. It has more granular prompt tracking and better historical data. But it's still primarily a monitoring and reporting platform. There's no content generation, no AI crawler logs, and no direct connection between a specific page you published and the citations that follow.
The bigger issue for most teams is price. Profound's enterprise pricing is reportedly in the $499+/month range at minimum, and the full feature set is significantly more. If you're a Fortune 500 brand with a dedicated SEO team and a reporting-heavy workflow, Profound makes sense. If you're a mid-market brand trying to run a tight content-to-citation feedback loop, the cost-to-capability ratio is harder to justify.
Scrunch
Scrunch sits in an interesting position. It has crawler and traffic insights that most pure-monitoring tools lack, which makes it more relevant for technical before/after analysis than Peec AI or Otterly.
The platform is enterprise-focused and has real depth in understanding how AI models interact with your site. But like Profound, it doesn't offer content generation -- you get the diagnostic data, then you're on your own to act on it. Pricing is enterprise-tier, which puts it out of reach for smaller teams.
For teams that have dedicated content teams and just need the tracking and diagnostic layer, Scrunch is worth evaluating. For teams that want one platform to handle the full workflow, it's half the solution.
Otterly.AI
Otterly is the most accessible platform in this comparison -- plans start at $29/month, and the interface is clean and easy to use. For teams just getting started with AI visibility tracking, it's a reasonable first step.
For before/after content tracking, though, Otterly is the weakest option here. It's a monitoring tool: you track brand mentions and citation rates across AI models, you see trends, and that's largely it. No page-level tracking, no crawler logs, no content generation, no gap analysis. You can observe that something changed; you can't diagnose why or act on it from within the platform.
That's not a criticism -- Otterly is priced and positioned as an entry-level tool, and it delivers on that. But if your goal is specifically to measure the impact of content updates on AI citations, you'll outgrow it quickly.
Feature comparison table
| Feature | Promptwatch | Peec AI | Profound | Scrunch | Otterly.AI |
|---|---|---|---|---|---|
| Prompt-level tracking | Yes | Yes | Yes | Yes | Yes |
| Page-level citation tracking | Yes | No | Partial | Partial | No |
| AI crawler logs | Yes | No | No | Yes | No |
| Publish-to-citation timeline | Yes | No | No | No | No |
| Content gap analysis | Yes | No | No | No | No |
| AI content generation | Yes | No | No | No | No |
| Traffic attribution | Yes | No | No | No | No |
| Reddit/YouTube tracking | Yes | No | No | No | No |
| ChatGPT Shopping tracking | Yes | No | No | No | No |
| Multi-language/region | Yes | Yes | Yes | Yes | Limited |
| AI models covered | 10 | 3-5 | 6+ | 5+ | 5+ |
| Starting price | $99/mo | $95/mo | ~$499/mo | Enterprise | $29/mo |
| Free trial | Yes | Yes | Limited | No | Yes |
| Best for | Full optimization loop | Mid-market analytics | Enterprise reporting | Enterprise diagnostics | Entry-level monitoring |
How to actually run a before/after content tracking workflow
The theory is simple. The execution requires the right tooling.
Step 1: Establish a baseline before you publish
Before touching your content, record your current citation rates for the prompts you're targeting. In Promptwatch, this means checking your page-level tracking for the URLs you're about to update, and noting your visibility scores for the specific prompts you're optimizing for.
If you're using Peec AI or Profound, export your current prompt scores and save them -- you'll need them for manual comparison later since neither platform has a built-in publish-to-citation timeline.
Step 2: Use gap analysis to know what to write
This is where the platforms diverge most sharply. Promptwatch's Answer Gap Analysis shows you the exact prompts where competitors are being cited and you're not. That tells you precisely what content to create or update.
With Peec AI, Profound, Scrunch, or Otterly, you're doing this analysis manually -- looking at competitor visibility, inferring what content might be driving it, and making educated guesses.
Step 3: Publish and watch for crawl activity
After publishing, the question is: did the AI crawlers find it? In Promptwatch's Agent Analytics, you can watch for crawler visits from ChatGPT-User, ClaudeBot, PerplexityBot, and others in real time. You'll see which pages they visited, whether they hit any errors, and how frequently they return.
None of the other platforms in this comparison offer this. With Peec AI, Profound, Scrunch, or Otterly, you're waiting for citation changes to appear in your dashboard and inferring that a crawl happened.
Step 4: Track citation changes at the page level
Once crawls start happening, you want to see whether your specific updated pages are being cited -- not just whether your domain's overall mention rate changed. Promptwatch's page-level tracking handles this directly.
Step 5: Connect citations to traffic and revenue
The final step most teams skip: did those new citations actually drive traffic? Promptwatch's traffic attribution connects AI visibility to actual site visits and conversions. This closes the loop from "we published content" to "it generated revenue."
Which platform should you choose?
The honest answer depends on what you're actually trying to accomplish.
If you want to run a proper before/after content tracking workflow -- publish content, confirm AI crawlers found it, watch page-level citations change, attribute that to traffic -- Promptwatch is the only platform here that supports the full workflow. The others require you to stitch together multiple tools or accept significant gaps in your analysis.
If you're an enterprise team with a large budget, dedicated analysts, and a reporting-heavy workflow, Profound has the depth and the credibility. Just know that the content optimization piece will need to happen elsewhere.
If you're a mid-market team that wants clean analytics and doesn't need to act on the data within the platform, Peec AI is well-built and growing fast.
If you're just starting out and want to understand what AI visibility tracking even looks like before committing to a serious budget, Otterly is a reasonable first step at $29/month.
Scrunch is worth a look if you're enterprise-level and specifically need the crawler/traffic diagnostic layer without content generation.
A note on the monitoring-only trap
One thing worth naming directly: most AI visibility tools are monitoring dashboards. They show you data. They don't help you change it.
That's fine if you have a team that can take monitoring data and translate it into content strategy and execution. But for most marketing teams, the bottleneck isn't knowing that your AI visibility is low -- it's knowing exactly what to do about it and having the tools to do it without spinning up a separate workflow.
The platforms that close that gap are rare. In this comparison, only Promptwatch does it end-to-end. That's not a knock on the others -- Profound and Peec AI are genuinely good at what they do -- but it's worth being clear about what you're buying.
Bottom line
For tracking AI visibility before and after a content update in 2026, the platform you need depends on how complete a workflow you want:
- Full loop (gaps → content → crawl confirmation → page citations → traffic): Promptwatch
- Enterprise reporting with deep analytics: Profound
- Mid-market monitoring with clean UX: Peec AI
- Enterprise crawler diagnostics: Scrunch
- Entry-level monitoring on a tight budget: Otterly.AI
If you're serious about content-driven AI visibility improvement -- not just watching your scores, but actually moving them -- the workflow matters as much as the data. Pick a platform that supports the whole thing.