Key takeaways
- All four tools track your brand across AI search engines like ChatGPT, Perplexity, and Gemini -- but they stop at very different points in the workflow.
- Peec AI and Searchable are primarily monitoring tools; they show you what's happening but leave the "fix it" work to you.
- Omnia adds a native content action layer, making it a better fit for lean teams that want monitoring and execution without enterprise pricing.
- Promptwatch is the only platform in this comparison rated as a "Leader" across all GEO categories, combining monitoring, content gap analysis, AI content generation, crawler logs, and traffic attribution in one loop.
- Pricing ranges from ~$49/mo (Peec AI entry) to $579/mo (Promptwatch Business), so the right choice depends heavily on what you need to do after you see the data.
The AI search visibility space has gotten crowded fast. Two years ago, most marketing teams hadn't even heard of GEO (Generative Engine Optimization). Now there are 28+ platforms claiming to help you rank in ChatGPT, Perplexity, and Google AI Overviews -- and they all look roughly similar from a landing page.
But they're not. The gap between a monitoring dashboard and an optimization platform is significant, and picking the wrong one means you'll spend months watching your competitors get cited while you wait for insights that never turn into action.
This guide compares four tools that come up frequently in 2026: Omnia, Searchable, Peec AI, and Promptwatch. We'll look at what each one actually does, where it falls short, and which team profile it fits best.
What these tools have in common (and where they diverge)
All four platforms share a baseline: they run prompts across major AI models, track whether your brand appears in the responses, and show you citation and mention data over time. That's table stakes now.
Where they diverge is everything that happens next. Some tools stop at the dashboard. Others try to tell you why you're invisible and what to write. A smaller number actually help you create the content and then measure whether it worked.
That distinction -- monitor vs. optimize vs. act -- is the most useful lens for this comparison.
Peec AI: clean monitoring, agency-friendly, limited execution
Peec AI is a well-regarded monitoring tool that covers prompt tracking, cited sources, competitor visibility, and sentiment across multiple AI engines. It's credit-based, which makes it accessible for agencies managing multiple clients without committing to per-seat enterprise pricing.
What Peec AI does well:
- Multi-platform coverage across ChatGPT, Perplexity, Claude, and others
- Clean competitor comparison views
- MCP integration support, which lets teams pipe data into external LLMs or content workflows
- Accessible pricing that works for smaller agencies
The honest limitation: Peec AI's "action layer" relies on external tools via MCP. If you want to go from "we're invisible for this prompt" to "here's a draft article that fixes it," you're stitching together your own workflow. That's fine if you have the technical setup. It's friction if you don't.
Lebesgue's 2026 roundup describes Peec AI as "a good fit for teams that want a clear view of AI search visibility, prompt performance, cited sources, competitors, and sentiment" -- which is accurate. It's a visibility tool, not an optimization platform.
Searchable: agent-first design, strong UX, still maturing
Searchable takes a different design philosophy. It's built around an agent-first experience, meaning the interface is designed more like a research assistant than a traditional dashboard. Graph Digital, which had beta access three months before Searchable's public launch, described it as having "end-user design" as its core differentiator.
That UX-forward approach is genuinely refreshing in a category full of dense dashboards. But "agent-first" also means the platform is still building out the deeper analytics layers that enterprise teams expect -- things like crawler logs, page-level citation tracking, and traffic attribution.
Where Searchable fits:
- Teams that want a more conversational, guided experience
- Early adopters comfortable with a platform that's still evolving
- Situations where ease of use matters more than data depth
Where it's thinner:
- Prompt volume data and difficulty scoring
- Reddit and YouTube citation tracking (sources that heavily influence AI recommendations)
- Built-in content generation
Searchable is interesting, but it's a bet on a roadmap more than a proven feature set. For teams that need reliability right now, that's a real consideration.
Omnia: lean team favorite with a native action layer
Omnia positions itself as the middle ground between monitoring-only tools and enterprise platforms. Its core pitch: URL-level citation intelligence combined with a built-in action layer that turns visibility gaps into content creation tasks -- without requiring complex API setups or a $400/mo minimum.
The comparison Omnia draws against Peec AI and Profound is fair. Peec AI is more accessible but relies on external tools for execution. Profound has deeper data (400M+ real user prompts, advanced crawler analytics) but prices out most startups. Omnia tries to close that gap.
What Omnia does well:
- Multi-country monitoring at startup-friendly pricing
- Native content brief generation (no external LLM setup required)
- URL-level citation tracking
- Clean interface that doesn't require a dedicated analyst to interpret
Where Omnia is thinner:
- Data scale. Profound's 400M+ real user prompts is a meaningful advantage for teams that need statistical confidence at scale.
- Crawler log access. Understanding how AI bots actually crawl your site requires deeper infrastructure that Omnia doesn't currently offer.
- Traffic attribution. Connecting AI visibility to actual revenue requires either a code snippet, GSC integration, or server log analysis -- Omnia's attribution layer is less developed than some competitors.
For a lean startup or mid-market team that wants to move from "we don't know how AI sees us" to "we're publishing content that fixes it" without a six-figure contract, Omnia is a solid choice.
Promptwatch: the only platform that closes the full loop
Promptwatch is the platform that comes up most often when teams ask "which tool actually helps us improve, not just measure?" It's used by 6,700+ brands and agencies including Booking.com and Center Parcs, and in a 2026 comparison of 12 GEO platforms, it was the only one rated as a "Leader" across all categories.
The reason isn't feature count. It's that Promptwatch is built around a specific loop that most competitors only partially implement:
- Find the gaps -- Answer Gap Analysis shows exactly which prompts competitors rank for that you don't, and what content your site is missing.
- Create content that gets cited -- A built-in AI writing agent generates articles, listicles, and comparisons grounded in 880M+ citations analyzed, prompt volumes, and competitor data. Not generic SEO filler.
- Track whether it worked -- Page-level tracking shows which pages are being cited, by which AI models, and how often. Traffic attribution (via code snippet, GSC, or server logs) connects visibility to actual revenue.
That loop is what separates an optimization platform from a monitoring dashboard. Peec AI and Searchable are strong at step one. Omnia gets you partway through step two. Promptwatch runs all three.
A few capabilities worth calling out specifically:
- AI Crawler Logs: Real-time logs of ChatGPT, Claude, Perplexity, and other AI crawlers hitting your site. Most competitors don't have this at all.
- Prompt Intelligence: Volume estimates and difficulty scores for each prompt, plus query fan-outs that show how one search branches into sub-queries. This lets you prioritize high-value, winnable prompts instead of guessing.
- Reddit and YouTube tracking: AI models cite Reddit threads and YouTube videos heavily. Promptwatch surfaces these -- a channel most competitors ignore.
- ChatGPT Shopping tracking: If you sell products, this matters. Promptwatch monitors when your brand appears in ChatGPT's shopping carousels.
- 10 AI models covered: ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Claude, Gemini, Meta/Llama, DeepSeek, Grok, Mistral, Copilot.
Pricing runs from $99/mo (Essential: 1 site, 50 prompts, 5 articles) to $579/mo (Business: 5 sites, 350 prompts, 30 articles). Agency and enterprise pricing is custom. There's a free trial.
Head-to-head comparison
| Feature | Peec AI | Searchable | Omnia | Promptwatch |
|---|---|---|---|---|
| Prompt monitoring | Yes | Yes | Yes | Yes |
| Competitor visibility | Yes | Yes | Yes | Yes |
| Citation tracking | Yes | Partial | Yes (URL-level) | Yes (page-level) |
| Content gap analysis | No | No | Partial | Yes (Answer Gap Analysis) |
| Built-in content generation | No | No | Yes (briefs) | Yes (full articles) |
| AI crawler logs | No | No | No | Yes |
| Reddit / YouTube tracking | No | No | No | Yes |
| ChatGPT Shopping tracking | No | No | No | Yes |
| Traffic attribution | No | No | Limited | Yes (snippet, GSC, logs) |
| Prompt volume / difficulty | No | No | No | Yes |
| AI models covered | 5-6 | 4-5 | 6+ | 10 |
| Entry pricing | ~$49/mo | Not public | Startup-friendly | $99/mo |
| Best for | Agencies, monitoring | UX-first teams | Lean startups | Teams that need to act |
Which tool should you actually use?
The honest answer depends on where you are in your GEO journey.
If you're just starting out and need to understand your current AI visibility before committing to a bigger platform, Peec AI is a reasonable starting point. The credit-based model keeps costs low, and the monitoring data is solid.
If UX matters more than data depth -- maybe you're presenting AI visibility data to non-technical stakeholders -- Searchable's agent-first design is worth a look. Just go in knowing it's still maturing.
If you're a lean team or startup that wants monitoring plus a native content workflow without enterprise pricing, Omnia hits a useful middle ground. You get URL-level citation data and content brief generation without needing to stitch together external tools.
If you need to actually move the needle -- not just see where you're invisible, but fix it and prove the fix worked -- Promptwatch is the most complete platform in this comparison. The Answer Gap Analysis, AI content generation, crawler logs, and traffic attribution work together in a way that none of the other three replicate.
One practical note: these tools aren't always mutually exclusive. Some teams use a lighter monitoring tool for client reporting and a more capable platform like Promptwatch for their own optimization work. That's a reasonable split if budget allows.
What to look for beyond this comparison
The AI search landscape is moving fast enough that any feature comparison has a shelf life. A few things worth tracking as you evaluate:
- How often does the platform refresh its prompt data? Weekly snapshots miss a lot.
- Does it cover the AI models your customers actually use? Google AI Mode and Gemini are growing fast in 2026.
- Can it attribute AI traffic to revenue? Visibility scores are useful, but they need to connect to business outcomes eventually.
- What happens after you see a gap? If the answer is "you figure it out," that's a real cost in time and expertise.
The tools that will matter most in 2026 and beyond are the ones that treat AI visibility as a workflow, not a report. That's the bar worth holding any platform to.