The AI visibility tooling space has gone from zero to crowded in about eighteen months. Three names come up again and again when brands start asking how they appear in ChatGPT, Perplexity, and Gemini answers: Profound, Peec, and Otterly. All three claim to help you track and improve your brand's presence in AI-generated responses. But they are not the same product, and choosing the wrong one wastes budget and time.
This post gives you a direct, honest comparison. No fluff. Just what each tool does, where it falls short, and who should buy it.
What these tools are actually measuring
Before comparing the platforms, it helps to be clear on what AI visibility tracking even means. When someone types a query into ChatGPT or Perplexity, the model generates a response that may or may not mention your brand, your products, or your website. Tracking tools send a bank of prompts to these AI engines, record the outputs, and tell you how often your brand appears, in what context, and alongside which competitors.
The quality of this measurement depends on three things: how large and relevant the prompt set is, how frequently prompts are refreshed, and which AI engines are covered. Get any of those wrong and you end up with data that looks impressive but tells you nothing actionable.
Understanding your brand's share of voice in AI answers is genuinely useful. But it is only the starting point. The harder question is: what do you do with that data? That is where the tools diverge significantly.
Profound: enterprise-grade, priced to match
Profound is the most mature of the three products. It is built squarely for mid-market and enterprise brands, and that shows in both its feature set and its pricing.
What Profound does well
Profound tracks brand mentions across ChatGPT, Perplexity, Claude, and Gemini. Its prompt library is large and can be customised to match the queries your customers actually use. The reporting is detailed: you get mention rate, sentiment, context summaries, and competitor share of voice across each AI engine separately.
The platform also has source attribution features, meaning it tries to identify which websites the AI is citing when it mentions your brand. That is genuinely useful because it tells you which third-party content is driving your AI visibility, not just whether you appear.
Where Profound falls short
The price. Profound is not cheap. Entry-level plans start in the hundreds of dollars per month, and the features most useful for serious strategy sit behind higher tiers. For a small e-commerce brand or a solo operator, the cost is hard to justify.
The platform is also quite reporting-heavy. You get excellent dashboards, but the tool does not tell you what to fix. It shows you where you stand; the strategy work still sits entirely with you or your agency.
Peec: the challenger with sharp positioning
Peec launched later than Profound and has positioned itself as a more accessible alternative, particularly for marketing teams rather than enterprise analysts. It has grown quickly, partly because its user interface is genuinely easier to use.
What Peec does well
Peec covers the main AI engines and produces clean, readable reports. Its onboarding is fast: you can get a brand tracking set up in under an hour. The competitor benchmarking view is particularly clear, showing you a grid of brands versus AI engines so you can spot gaps at a glance.
Peec also introduced prompt categorisation earlier than its competitors, letting you group prompts by intent (awareness, consideration, comparison, purchase) and track your visibility at each stage of the buyer journey. That is a smart feature that maps well to how real marketing teams think.
Where Peec falls short
The prompt library is smaller than Profound's, and the customisation options are more limited at lower price points. Source attribution is present but shallow. You can see that a model is citing, say, a Reddit thread or a comparison site, but you cannot drill into why that source ranks highly or what content on that page is doing the work.
Peec also has limited coverage of some of the newer AI platforms. If your audience is using Copilot or Grok heavily, the data gaps start to matter.
Otterly: lightweight, affordable, and honest about it
Otterly is the smallest of the three and the most upfront about what it is. It is a prompt monitoring tool rather than a full AI visibility platform. The distinction matters.
What Otterly does well
Otterly is fast, cheap, and simple. You set up a list of prompts, it runs them against a handful of AI engines on a schedule, and you get alerts when your brand appears or disappears. For a founder or small team that just wants to know whether ChatGPT is mentioning them, Otterly is a reasonable starting point.
The pricing is transparent and low. You can get started for under $50 a month, which no serious competitor matches. If budget is a genuine constraint, Otterly lets you dip your toes in without a significant commitment.
Where Otterly falls short
Otterly is a monitoring tool, not an intelligence tool. The reporting is basic. There is no competitor benchmarking at the level Profound or Peec offer, no source attribution, and no intent categorisation. You know whether you appear, but not why, not compared to whom in detail, and not what to do about it.
For teams that need to make decisions, present results to stakeholders, or build an AI visibility strategy, Otterly's data is too thin. It is fine as an alert system; it is not a strategy tool.
Side-by-side: the honest verdict
Here is a plain comparison across the dimensions that actually matter for most buyers:
- AI engine coverage: Profound leads, Peec is close, Otterly covers the basics.
- Prompt quality and volume: Profound wins, particularly for enterprise prompt customisation. Peec is solid. Otterly is limited.
- Competitor benchmarking: Profound and Peec are both good. Otterly is minimal.
- Source attribution: Profound is the strongest. Peec has a lighter version. Otterly does not really do this.
- Ease of use: Peec is the easiest. Profound has a steeper learning curve. Otterly is simple by design.
- Price: Otterly is cheapest by a large margin. Peec sits in the middle. Profound is the most expensive.
- Actionability: None of the three will tell you what changes to make to your website, content, or schema markup to improve your AI visibility. That work sits elsewhere.
That last point deserves emphasis. All three tools are measurement products. They tell you your score. They do not fix it. This is the gap that many brands discover after spending three months and several thousand dollars on tracking dashboards: knowing you have low AI visibility is not the same as knowing how to improve it.
What measurement tools miss entirely
AI search engines pull from structured data, authoritative content, entity recognition, and the signals embedded in your site's markup. If your product pages lack proper schema, if your brand is not consistently described across the web, if your content does not answer the specific prompts AI engines are trained to synthesise, no amount of tracking will change your results.
Tools like Profound, Peec, and Otterly measure the output. The input work, which is structured data implementation, schema markup, content optimisation, and technical AI-readiness, sits entirely outside what these platforms touch.
At FlinnSchema, this is exactly the work we focus on. Tracking your AI visibility is step one. Improving it is the harder, more technical job, and it requires changes to your actual website, not just your dashboards. If you want to understand where your site currently stands, our free AI visibility audit is a good starting point. It looks at your structured data, your schema implementation, and the signals that AI engines actually use when deciding whether to cite you.
For a broader look at what AI visibility improvement costs and what different approaches involve, the post on how much generative engine optimisation costs in 2026 gives a realistic breakdown.
Who should buy which tool
Buy Profound if: You are a mid-market or enterprise brand with a serious budget, multiple product lines, and a team that will actually use the depth of data it provides. The source attribution features alone can justify the cost if you use them properly.
Buy Peec if: You are a marketing team that needs clean reporting, decent competitor benchmarking, and wants to track AI visibility across buyer journey stages without needing a data analyst to interpret the output.
Buy Otterly if: You are just starting out, budget is tight, and you want a basic alert system to know when you appear in AI answers. Treat it as a first step, not a long-term strategy tool.
Buy none of them if: You have not yet done the foundational work on your structured data, schema markup, and content. Tracking a score that you have no plan to improve is an expensive way to feel busy. Fix the inputs first, then measure the outputs.
It is also worth reading our post on how to measure your brand's share of voice in AI answers, which covers the methodology behind these tools and what you can track manually before committing to a paid platform.
Frequently Asked Questions
Is Profound worth the price compared to cheaper alternatives?
For enterprise brands with multiple stakeholders and a genuine need for deep competitor intelligence and source attribution, yes. For small or mid-size e-commerce brands, the price is hard to justify unless your team has the capacity to act on the data. Most brands at that scale are better served by Peec or by investing the budget in improving their structured data instead.
Can I use these tools to improve my AI visibility, or just track it?
You can only track with these tools. Profound, Peec, and Otterly are measurement platforms. Improving your visibility requires actual changes to your website: schema markup, structured data, content strategy, and technical AI-readiness work. Measurement is valuable, but it does not move the needle on its own.
How often do these tools refresh their prompt data?
Profound and Peec typically run prompts daily or near-daily on higher-tier plans. Otterly's refresh rate depends on your plan, and slower plans may only update a few times per week. This matters because AI engine outputs change. A weekly snapshot can miss meaningful shifts in how your brand is being described.
Do I need one of these tools before working on AI visibility improvements?
Not necessarily. A baseline audit, which can be done manually or through a service like FlinnSchema's free AI visibility audit, will tell you enough to prioritise your improvement work. Paid tracking tools become more valuable once you have made changes and want to measure whether they are having an effect.