Peekaboo — $38.2k/mo
AI visibility and analytics tool for AI SEO
Launched 2025 · Subscription · United States · SaaS · AI · Marketing
Monthly revenue: $38.2k · Annual run rate: $458.1k
Website: https://www.aipeekaboo.com
Founders
- John Rice (@hello_code_)
- Filipe Lins Duarte
Revenue source
Almost at $40k MRR after 1.5 years. Still feels weird typing that. No massive team. No VC. No perfect launch. No magic growth hack. Just shipping, talking to customers, posting what we learn, and stacking small wins every week. Building in public changed everything for us.
Founder tweets
AI Peekaboo just crossed $20k MRR. Honestly, massive month. Turns out a good affiliate program can be a real revenue machine. That plus some good old LinkedIn outreach moved the needle a lot. Still feels crazy, but also like we are finally hitting the right rhythm. https://t.co/8RoYMFd9by
@RoundtableSpace Building AI Peekaboo today. It helps brands see how they show up in AI answers across ChatGPT, Gemini, Perplexity, and Google AI Overviews. Less guessing on AI visibility. https://t.co/iVNcpLLMtL
From around the web
- 4 months ago I started working on something new (nights and weekends).Today, I’m excited to finally announce PeekabooThe idea started with launching a simple waitlist on Reddit. In less than a… | Filipe Lins Duarte | 95 comments — LinkedIn
- 🎥 Filipe Duarte — From Reddit to Revenue | Canopy People’s Choice Winner — Canopy Community · YouTube
- Filipe Duarte wins Lisbon’s People’s Choice Award with Peekaboo — canopy.community
- My SaaS growth was stuck… until Reddit + SEO finally clicked — reddit.com
Snippets
What is Peekaboo?
Peekaboo is an “AI visibility” and analytics tool that helps brands and agencies see when, where, and how they show up inside AI answers from engines like ChatGPT, Gemini, Perplexity, Google AI Overviews (AIO), and Google AI Mode. Instead of classic SEO rankings, it measures whether your brand is mentioned, cited, or recommended in AI‑generated responses, and tracks metrics like visibility score, rank, sentiment, and share of voice versus competitors. The product is built for B2B marketers and agencies, including integrations with Google Search Console, Looker Studio and planned CMS integrations, plus white‑label dashboards for agencies.
Who is it for?
Digital agencies, marketing teams and brands with meaningful content footprints, especially those already running SEO and wanting to know how AI engines treat that content.
What's their USP?
Focus on real‑UI prompt tracking (not just API), multi‑engine coverage, share‑of‑voice metrics across competitors, and white‑label agency tooling gives them a distinct angle versus generic “LLM monitoring” tools.
How Peekaboo got their first customers
Reddit waitlist and founder storytelling
Peekaboo’s initial traction came from a simple waitlist launched on Reddit, which pulled in 120 signups in under a week and created early demand before the product was fully built. Subsequent Reddit posts in r/microsaas, r/buildinpublic and r/SaaS share milestones (“$5K MRR in the first month”, “almost $10K MRR in 4 months”) and lessons, which doubles as distribution and social proof.
Free AI visibility reports as a lead magnet
In the 10K‑MRR buildinpublic post, the founder describes creating a free visibility report before asking for signups or payment; this validated demand and gave prospects tangible value. The public “run a free AI visibility report for your brand” offer in Filipe’s launch post echoes this: free value first, then paid conversions.
Laser focused ICP: Agencies and marketing teams
LinkedIn posts and the company page repeatedly position Peekaboo as built “ground‑up for agencies” and brands managing multiple clients, not for a general audience.
Using Reddit + SEO as primary channels
The 10K‑MRR post explicitly says the founder “chose slow channels on purpose” — direct messages and SEO — instead of paid ads, even though they felt slow at first.
White-labeling unlocked an agency growth path
White‑label wasn’t part of the original plan; it was added after seeing how agencies were using the product and noticing that branded reports were being sent to clients.