Key takeaways
- Ceyo.ai, Otterly.AI, and Peec AI are all monitoring-only platforms: they show you where your brand appears (or doesn't) in AI search, but none of them help you close the gap.
- Otterly.AI is the most accessible entry point, with pricing starting around $29/month. Peec AI has stronger analytics and a cleaner UX. Ceyo.ai sits somewhere in between with a focus on multi-model tracking.
- The shared blind spot across all three: no content gap analysis, no AI writing tools, no crawler log access, and no traffic attribution. You get data. You don't get a path forward.
- If you're past the "just curious" stage and actually want to improve your AI visibility, you need a platform that closes the loop between finding gaps and fixing them.
Why this comparison exists
There's a version of this article that just ranks three tools on a feature grid and calls it a day. That's not what this is.
The more useful question isn't "which of these three is best?" It's "what are you actually trying to accomplish, and does any of them get you there?"
Because here's the thing: Ceyo.ai, Otterly.AI, and Peec AI are all built around the same core idea. You tell the tool what prompts matter to your business. It queries ChatGPT, Perplexity, Gemini, and a handful of other AI models. It reports back on whether your brand showed up, how often, and what the sentiment looked like. Repeat weekly. Watch the numbers.
That's genuinely useful if you've never measured AI visibility before. But it's also where all three tools stop. And in 2026, stopping at monitoring is a real strategic problem.
Let's look at each tool honestly, then talk about what the category is missing.
Otterly.AI: the entry-level option
Otterly.AI has been around long enough to become the default recommendation for teams that want to dip their toes into AI visibility without committing serious budget. It's affordable, it's easy to set up, and it covers the basics without overwhelming you.
What it does well
Otterly tracks brand mentions and sentiment across several major AI models. The interface is clean enough that a non-technical marketer can get a dashboard running in an afternoon. Pricing starts at roughly $29/month, which makes it genuinely accessible for small teams and solo operators.
For someone who's been flying completely blind on AI visibility, Otterly gives you a real signal. You can see whether ChatGPT mentions you when someone asks about your product category. You can watch that number over time. That's not nothing.
Where it falls short
The ceiling is low. Otterly doesn't offer content gap analysis, so you can't see which prompts your competitors are winning that you're not. There's no built-in content generation, no crawler log access, and no way to connect your visibility scores to actual website traffic or revenue.
Multiple independent reviews in 2026 describe Otterly as "monitoring-only" -- useful for awareness, not for action. One summary from Surmado's comparison put it plainly: Otterly is "the most accessible monitoring tool," which is a polite way of saying it's the best at a limited job.
If your goal is to get a quick read on whether you exist in AI search, Otterly works. If your goal is to improve that existence, you'll outgrow it fast.
Peec AI: the cleaner analytics play
Peec AI is the more sophisticated option in this group. It raised $29M and reportedly crossed $4M ARR in under a year, which tells you there's real demand for what it's doing. The UX is genuinely good -- probably the best of the three.
What it does well
Peec tracks AI visibility across multiple models with more granularity than Otterly. The analytics layer is stronger: you get cleaner breakdowns of where you appear, how often, and against which competitors. The interface is intuitive enough that Reddit users in the r/GenerativeSEOstrategy community specifically called it out as "probably one of the easiest to get into."
For mid-market teams that want to present AI visibility data to leadership without spending hours cleaning up exports, Peec is a reasonable choice. The dashboards look good. The data is organized.
Where it falls short
Peec is a monitoring-only platform. The research from ZipTie.dev's 2026 multi-model tracking comparison said it directly: "Peec is a monitoring-only platform with no content optimization." You can see that you're invisible for a given prompt. You cannot do anything about it inside the tool.
There's no answer gap analysis, no content creation workflow, no crawler log data showing how AI bots are actually crawling your site. The analytics are better than Otterly's, but the fundamental limitation is the same: you get a picture of the problem, not a solution.
Ceyo.ai: the multi-model tracker
Ceyo.ai is the least-discussed of the three in public reviews, which itself tells you something about where it sits in the market. It's a multi-model AI visibility tracker that covers the major LLMs and provides brand mention and citation tracking across them.
What it does well
Ceyo's strength is breadth of model coverage. If you need to track how your brand appears across ChatGPT, Claude, Perplexity, Gemini, and others simultaneously, Ceyo provides that in a single view. For teams managing multiple brands or markets, the multi-model dashboard reduces the manual work of checking each platform separately.
Where it falls short
Same story as the other two. Ceyo is a monitoring tool. It shows you data. It doesn't help you act on it. There's no content gap analysis, no AI-assisted writing, no prompt intelligence with volume estimates, and no traffic attribution to connect AI visibility to business outcomes.
The honest assessment: Ceyo sits in a crowded monitoring-only segment where differentiation is hard to maintain. Without an optimization layer, it's competing on dashboard aesthetics and model coverage -- neither of which is a durable advantage.
Side-by-side comparison
| Feature | Ceyo.ai | Otterly.AI | Peec AI |
|---|---|---|---|
| Multi-model tracking | Yes | Yes (limited) | Yes |
| Brand mention monitoring | Yes | Yes | Yes |
| Sentiment analysis | Basic | Basic | Yes |
| Competitor tracking | Yes | Basic | Yes |
| Content gap analysis | No | No | No |
| AI content generation | No | No | No |
| Crawler log access | No | No | No |
| Prompt volume/difficulty | No | No | No |
| Traffic attribution | No | No | No |
| Reddit/YouTube tracking | No | No | No |
| Entry pricing | ~$49/mo | ~$29/mo | ~$49/mo |
| Best for | Multi-model coverage | Budget entry-level | Mid-market analytics |
The table makes the pattern obvious. All three tools share the same ceiling. They differ in price, UX quality, and how much analytics depth they offer -- but none of them cross the line from monitoring into optimization.
What "monitoring-only" actually costs you
Here's the practical problem with stopping at monitoring.
You run your prompts. You see that a competitor shows up in 40 out of 50 relevant queries and you show up in 8. Now what? You know you have a problem. You don't know which specific content gaps are causing it. You don't know which pages on your site AI models are actually reading (or failing to read). You don't know whether the content you publish next week will move the needle.
That gap between "knowing you're invisible" and "knowing what to do about it" is where most teams get stuck. They export a CSV, hand it to a content team, and hope someone figures it out. That's not a workflow -- it's a wish.
The teams actually improving their AI visibility in 2026 are using platforms that close the loop: find the specific prompts where competitors outrank you, generate content engineered to get cited by AI models, track which pages start getting cited after you publish, and attribute that visibility to actual traffic and revenue.
Monitoring-only tools can't do any of that.
What to look for instead
If you're evaluating AI visibility tools and you've read this far, you probably already sense that monitoring alone isn't enough. Here's what a more complete platform looks like:
Answer gap analysis. You need to see the specific prompts your competitors are winning that you're not -- not just aggregate scores, but the actual questions AI models are answering with your competitor's content instead of yours.
Content generation grounded in citation data. Generic AI writing tools produce generic content. What you need is content built around which sources AI models actually cite, what topics they want authoritative answers on, and which angles are currently underserved.
Crawler log access. Knowing that ChatGPT's crawler visited your site is one thing. Knowing which pages it read, which it skipped, and which returned errors is what lets you fix indexing problems before they become visibility problems.
Prompt intelligence. Volume estimates and difficulty scores for each prompt let you prioritize. Without them, you're guessing which gaps are worth closing first.
Traffic attribution. AI visibility scores mean nothing if you can't connect them to sessions, leads, and revenue. You need a way to close that loop.
Promptwatch is the platform that covers all of these in one place. It's used by 6,700+ brands and agencies, and it's the only tool in a recent 12-platform comparison rated as a "Leader" across all categories -- specifically because it goes beyond monitoring into the full optimization cycle.
The difference in practice: Promptwatch's Answer Gap Analysis shows you the exact prompts where competitors appear and you don't. The built-in AI writing agent generates content grounded in 880M+ citations analyzed. Crawler logs show you how ChatGPT, Claude, and Perplexity are actually crawling your site. And traffic attribution connects all of it back to real business outcomes.
That's the loop that monitoring-only tools can't close.
Who should still use Otterly, Peec, or Ceyo
To be fair: there are legitimate reasons to use monitoring-only tools.
If you're at the very beginning of your AI visibility journey and you just need to answer the question "do we even show up in AI search?" -- Otterly at $29/month is a reasonable starting point. It's low-risk and low-commitment.
If you're a mid-market team that needs to present AI visibility data to leadership and you don't yet have budget or buy-in for a full optimization platform, Peec's cleaner analytics make it easier to build that case.
If you're managing many brands simultaneously and need a quick multi-model overview without deep optimization workflows, Ceyo's breadth of coverage might serve that specific need.
But in all three cases, you should go in with clear eyes: these tools show you the problem. They don't solve it.
The bottom line
Ceyo.ai, Otterly.AI, and Peec AI are all competent at what they do. The issue is that what they do is increasingly insufficient.
AI search visibility isn't just a reporting problem. It's a content and optimization problem. The brands winning in ChatGPT, Perplexity, and Google AI Overviews aren't just tracking their scores -- they're systematically finding gaps, publishing content engineered to get cited, and measuring the results at the page level.
Monitoring tells you where you stand. Optimization is what moves you forward. In 2026, you need both.