Resource Center
Practical guides for measuring AI visibility, interpreting mentions and citations, and turning the findings into accountable marketing decisions.
Quick Tips to Get Started
Measurement and content practices you can evaluate against your own data
Use real questions your customers ask (from support tickets, sales calls or FAQ pages) as prompts when checking AI models. Manual AI‑visibility analysis involves launching chatbots like ChatGPT, Gemini and Perplexity, asking audience‑relevant questions, and noting whether you're mentioned, cited or linked.
Identify the questions and decisions behind a query, then create content that answers the user's actual need rather than repeating a keyword.
Publish useful, original information and support factual claims with sources that readers can verify. No content format guarantees inclusion in an AI response.
Use accurate structured data when it matches visible page content. It can help eligible search systems interpret a page, but it does not guarantee a citation or ranking.
Monitoring when competitors appear in AI responses helps identify gaps in your strategy. Peekaboo's competitor analysis shows side‑by‑side visibility scores and rankings.
Review important pages when facts, products, or user needs change. Update publication dates only when the content changes substantially.
Earn relevant coverage by publishing useful work, contributing genuine expertise to industry communities, and keeping brand facts consistent across authoritative profiles.
What is Peekaboo?
An AI-visibility monitoring platform for agencies and marketing teams
Peekaboo tracks how brands appear across ChatGPT, Gemini, Perplexity, Google AI Mode, and Google AI Overviews. Results are measurements of a defined prompt set, model, location, and time—not a census of every AI response.
Powerful Capabilities
Cross-platform Monitoring
Compare mentions and citations across five supported AI search experiences
Prompt Research and Tracking
Build repeatable prompt sets around discovery, comparison, and purchase intent
Citation and Source Analysis
Review the pages and domains cited alongside each tracked response
Competitor Benchmarking
Compare tracked brands against the same prompts and model runs
Content Opportunity Insights
Turn citation and response gaps into reviewable content priorities
Search and Analytics Context
Review AI visibility alongside connected Search Console and analytics data
Use trends, not one-off answers: Compare consistent prompt sets over time, inspect the underlying responses, and validate business impact in your own analytics.
Comprehensive Guides
Explore AI visibility with practical guides and explicit measurement limits
LLM.txt File Generator
Create a draft llms.txt file that lists important content in a machine-readable format. Adoption remains experimental: the file does not control mainstream AI crawlers or guarantee search visibility.