AI Peekaboo vs Profound vs Scrunch AI in 2026: AI Visibility Tools Compared

AI Peekaboo tracks where your brand appears across ChatGPT, Gemini, Perplexity, Google AI Overviews and Google AI Mode. Beyond the dashboard, you get both a read and write API on every plan, so you can pull the data into your own tools or trigger monitoring runs programmatically. The prompt-level data tells you exactly which questions are surfacing your brand in AI answers, and which are not.

The pricing model is different from the other two. You pay per prompt rather than per seat, which means the cost scales with actual usage rather than team size. Agencies managing multiple brands can set different monitoring frequencies per client, and white-label views with guest access links mean you can deliver reports without adding another platform to your clients' workflow.

The main gap versus Profound is crawler log access. You can see where your brand appears in AI answers, but not when GPTBot or ClaudeBot last crawled a specific page. If understanding the crawl-to-citation relationship is important for your programme, that is a reason to look at Profound instead.

Profound is built for in-house SEO teams at larger organisations. It covers more AI engines than either other tool in this comparison, surfaces the gap between what models say about your brand and what is actually true, and gives you crawler log data showing when GPTBot and ClaudeBot last visited specific pages. That last piece is rare: most monitoring tools tell you about citations after the fact. Profound connects them to the crawl activity that preceded them.

The starting price is $99/month and the buying process involves a demo call. That is not a flaw, it is the model: you get structured onboarding, a CSM, and a team that builds against enterprise roadmaps. If you need something running this week without a sales call, this is not the right starting point. If you are building a serious AI visibility programme with dedicated headcount, the onboarding investment pays off.

For agencies, the practical limits are multi-client management and API access. The platform is not built to run dozens of separate client brands under one login, and the API is locked to custom enterprise contracts. If you need to deliver data to external tools or client dashboards on a standard plan, you cannot.

Scrunch AI starts from a different question. Instead of "where does my brand appear in AI answers", it asks "what prompts are driving citations in my category". That shift in framing changes what you see: rather than a brand-level snapshot, you get a picture of which topics, formats and sources AI models reliably cite in your niche, then where your brand sits within that landscape.

For content teams, this is often a more useful starting point than a brand-level monitor. You can see that AI models in your category consistently cite long-form comparison content over product pages, for example, and build a content calendar around that before you have even started tracking your own mentions. The 1,000-prompt industry library on Starter means you are not building that question set from scratch.

The ceiling is on delivery. There is no white-label option, no agency tier, and the API is only available on Enterprise. If you need to send that data to external tools or build client-facing reports on a standard plan, you cannot. The data is strong; getting it out of the platform into other systems is the friction.