What methods does Scrunch use to collect data from AI platforms?

Scrunch is an AI visibility platform that collects real responses from nine major AI platforms — ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Meta AI, Grok, and Microsoft Copilot — using a combination of browser automation and official platform APIs. The collection method is selected per platform to accurately reflect how consumers interact with each one.

To ensure accuracy, Scrunch validates every result against a large, continuously updated dataset of responses captured directly inside AI platforms. This makes Scrunch reliable for detecting brand mentions, citations, and competitive context in AI answers — not just inferred or estimated signals.

How Scrunch’s technology works

Analytics you get to measure brand and competitive impact

Scrunch turns raw AI responses into consistent, comparable metrics so you can track how your brand appears across AI systems — including ChatGPT, Perplexity, Gemini, Claude, Meta AI, Microsoft Copilot, Google AI Overviews, Grok, and Google AI Mode — and benchmark your brand presence, citation share, and sentiment against direct competitors.

These analytics let you see both share-of-voice in AI answers and the downstream traffic impact, with the full text and citations preserved for context.

AI-readiness checks and optimization

Scrunch surfaces what to fix—and where—so you can improve how AI platforms reference your brand:

Example

Suppose you track the prompt: “How can I optimize my brand for AI search engines like ChatGPT?”

Scrunch will collect responses across supported AI platforms and display:

You can open each full response and its citations for verification and action.

Key features and pricing

Key capabilities:

Getting started:

Follow-up: How frequently does Scrunch collect prompt data?

If collections are delayed, timing depends on the number of prompts tracked and platforms queried. Data typically becomes available within 20–60 minutes for smaller organizations and between 1–12 hours for larger organizations with higher prompt volumes.

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