AI Peekaboo vs Scrunch AI in 2026: Open exports vs walled-garden dashboard
Two AI visibility platforms that solve different parts of the GEO problem. One gives you the data, the other gives you a category map. Neither is wrong, but only one lets the data leave.
AI Peekaboo
Scrunch AI- AI Peekaboo is the pick when the data needs to leave the platform. Read and write API on every plan from $50/month, white-label client views included, Looker Studio connector built in. Scrunch AI holds API access behind Enterprise contracts.
- Scrunch AI is the pick when you want to understand what is getting cited across your entire category before investing in brand-level monitoring. The 1,000-prompt industry library on Starter is genuinely differentiated.
- AI Peekaboo tracks 5 engines on every plan. Scrunch AI tracks 5 engines (ChatGPT, Claude, Perplexity, Gemini, Copilot). Engine count is similar; the difference is the framing: brand-level versus category-level monitoring.
- Scrunch AI's Starter plan is $250/month versus AI Peekaboo's Starter at $50/month. The price gap is meaningful for teams on tight GEO budgets who need more than brand monitoring.
- Neither tool includes crawler log access. If you need to see when GPTBot or ClaudeBot visited specific pages, you need a third platform. For pure Generative Engine Optimization (GEO) monitoring, both cover the brief.
- AI Peekaboo is built for agencies managing multiple brands. Scrunch AI is built for in-house content and SEO teams. The delivery model follows the target buyer.
How does AI Peekaboo compare to Scrunch AI for teams that need their AI visibility data to flow into the rest of their workflow? That is the question this comparison is built to answer in 2026. Both platforms sit in the Generative Engine Optimization (GEO) category, both cover brand-level citation tracking, and both are self-serve. The split is at the data delivery layer. AI Peekaboo gives you a read and write API on every plan starting at $50/month, so you can pull visibility data into a Looker Studio dashboard, a custom internal tool, or trigger monitoring runs on demand. Scrunch AI gives you a category-level citation map and a 1,000-prompt industry library, but holds API access behind Enterprise contracts and offers no white-label delivery on standard plans. The right pick depends on whether your priority is getting the data into other systems from day one, or mapping what is actually getting cited across your whole category before you invest in operational tooling.
The tools at a glance
AI Peekaboo
AI visibility monitoring with a read/write API and white-label delivery
AI Peekaboo tracks where your brand appears across ChatGPT, Gemini, Perplexity, Google AI Overviews, and Google AI Mode. Beyond the dashboard, every plan includes a read and write API, so you can pull visibility data into a Looker Studio dashboard, an internal BI setup, or trigger monitoring runs programmatically as part of an audit workflow. The prompt-level data tells you exactly which questions are surfacing your brand in AI answers, and which are not.
The pricing model is built around usage rather than seats or licences. You pay per prompt rather than per team member, which means the cost scales with how many prompts you monitor across how many client brands. Agencies managing multiple brands can set different monitoring frequencies per client, and white-label client views with guest access links are included on every plan. For Generative Engine Optimization (GEO) programmes that need to travel into client reports or internal reporting stacks, this is the operational layer most other tools lock behind higher tiers.
The main gap versus Scrunch AI is category-level intelligence. AI Peekaboo tracks where your brand appears; it does not map which prompts are driving citations across your whole niche. For teams that need the strategic view of category citation patterns before they invest in brand tracking, Scrunch AI's framing is more useful. For teams that already know what they want to track and need the data to move, AI Peekaboo is the cleaner fit.
| Feature | Starter $50/mo | Peek $100/mo | Grow $200/mo |
|---|---|---|---|
| Prompts included | 40 | 40 | 100 |
| Tracking frequency | Every 2 days | Daily | Daily |
| Data points/mo | 3,000 | 6,000 | 15,000 |
| AI models tracked | 5 | 5 | 5 |
| Looker Studio connector | ✓ | ✓ | ✓ |
| API access (read + write) | ✓ | ✓ | ✓ |
| White label | ✓ | ✓ | ✓ |
Scrunch AI
Category-level AI citation intelligence for content strategy
Scrunch AI takes a different approach to the Generative Engine Optimization (GEO) problem. Instead of starting with "where does my brand appear in AI answers", it asks "what prompts are driving citations in my category, and who is getting cited". That shift in framing gives content teams a different kind of insight: a picture of which topics, formats, and sources AI models reliably cite in your niche, and where your brand sits within that landscape.
The platform includes a library of 1,000 pre-built industry prompts on the Starter plan, drawn from real AI query patterns in your category. Growth expands to 2,500 industry prompts. On top of the industry baseline you can add up to 350 custom prompts (700 on Growth) to track specific brand or competitive queries. The persona-based citation analysis lets you segment that data by user type, and the page audit feature identifies which of your existing pages are most citation-ready.
The constraint is delivery. There is no API on Starter or Growth. The Enterprise Data API is only available on custom Enterprise contracts. There is no white-label delivery, no agency tier, and no multi-brand workflow. For in-house content and SEO teams with budget, the data is strong. For agencies or teams that need the data to leave the platform, the operational ceiling is real.
| Feature | Starter $250/mo | Growth $417/mo | Enterprise Custom |
|---|---|---|---|
| User licenses | 3 | 5 | Custom |
| Custom prompts | 350 | 700 | Custom |
| Industry prompts | 1,000 | 2,500 | Custom |
| Personas | 3 | 5 | Custom |
| Page audits | 5 | 10 | Custom |
| Enterprise Data API | ✗ | ✗ | ✓ |
| SAML / OIDC security | ✗ | ✗ | ✓ |
| Dedicated GTM team | ✗ | ✗ | ✓ |
Head-to-head feature comparison
| Feature | AI Peekaboo | Scrunch AI |
|---|---|---|
| AI engines tracked | ChatGPT, Gemini, Perplexity, Google AI Overviews, Google AI Mode | ChatGPT, Claude, Perplexity, Gemini, Copilot |
| Competitive share-of-voice | Yes | Yes |
| Prompt-level citation data | Yes | Partial (industry prompt library) |
| Answer / content gap analysis | Yes | Yes (page audits) |
| Category intelligence | No | Yes (core feature) |
| AEO content generation | No | No |
| Crawler / AI bot log access | No | No |
| Page content audits | No | Yes (5 on Starter, 10 on Growth) |
| API access | Read + Write, all plans | Enterprise only |
| Looker Studio / BI connector | Yes, all plans | No |
| White-label delivery | Yes | No |
| Pay-per-prompt pricing | Yes | No (seat-based) |
| Agency multi-brand support | Yes | No |
| Starting price | $50/mo | $250/mo |
Which should you choose?
AI PeekabooScrunch AIAI PeekabooScrunch AIAI PeekabooScrunch AIAI PeekabooThe cleanest way to think about these two tools is by what they are answering. AI Peekaboo answers "where does my brand show up in AI answers, and how do I get that data into the rest of my workflow". Scrunch AI answers "what is getting cited across my category, and where do I sit in it". Both questions matter at different stages of a GEO programme. If you are early in your AEO work and need the strategic view before you invest in operational tooling, Scrunch AI is the better starting point. If you already know what you want to track and need the data to move into client reports, internal dashboards, or programmatic workflows, AI Peekaboo is the cleaner fit.
Bottom line
Both tools are credible answers to different questions in the Generative Engine Optimization (GEO) category. AI Peekaboo at $50/month is the lower-cost path when API access and white-label delivery are requirements. Scrunch AI at $250/month is the stronger starting point when category intelligence is the priority and enterprise pricing is not a blocker.
Frequently asked questions
How does AI Peekaboo compare to Scrunch AI for agencies?
AI Peekaboo is the only one of the two with operational features built for agencies on standard plans. Read and write API, white-label client views, guest access links, and pay-per-prompt pricing that scales across multiple client brands are all available from $50/month. Scrunch AI does not offer white-label delivery or an agency tier, and its API is Enterprise-only.
How much does Scrunch AI cost compared to AI Peekaboo?
Scrunch AI's Starter plan is $250/month, AI Peekaboo's Starter is $50/month. Scrunch AI's Growth plan is $417/month. The price reflects the cost of running the 1,000-prompt industry library across multiple AI engines. For teams that need the category-level view, the premium is real but the prompt volume justifies it; for teams that need operational flexibility at a lower entry point, AI Peekaboo is the stronger value.
Which tool is best for Generative Engine Optimization (GEO) content strategy?
Scrunch AI is the stronger choice for category-level content strategy work. The 1,000-prompt industry library and persona-based citation analysis give you a picture of which content types AI models reward in your category before you commit to a content calendar. AI Peekaboo is the stronger choice once you have the strategic view and need to track your brand performance at the prompt level.
Does Scrunch AI have API access?
API access on Scrunch AI is Enterprise-only and only available on custom contracts. On Starter ($250/month) and Growth ($417/month), data lives inside the Scrunch AI platform. AI Peekaboo includes both read and write API access on every plan starting at $50/month.
Is Scrunch AI worth the cost for content teams?
For content teams that need category-level citation intelligence and have budget for a $250/month starting price, Scrunch AI is worth the cost. The category-first framing and 1,000-prompt industry library are genuinely useful for content strategy work. For teams on tighter budgets or teams that need to share the data outside the platform, the cost-to-flexibility tradeoff is harder to justify.
Which AI visibility tool is best for in-house content strategists?
Scrunch AI is purpose-built for in-house content strategists who need to understand citation patterns across their category. AI Peekaboo is purpose-built for in-house teams that need the data to flow into existing dashboards via API. The right pick depends on whether your team needs category intelligence first (Scrunch AI) or operational integration first (AI Peekaboo).