How accurate is Scrunch at tracking brand presence across LLMs?
Scrunch is highly accurate at tracking brand presence across LLMs. It collects actual AI responses from all major AI platforms. Brand mentions are detected using pattern matching (regex), verified against continuously updated response datasets.
Brand presence is measured as a binary signal: if your brand is explicitly named in a response, it counts. Scrunch does not count citations that merely reference your brand. This provides a truer picture of how consumers experience AI answers.
What “brand presence” means in Scrunch
- Each platform's answer is treated as a unique data point. Results are aggregated across prompts.
- Data is rolled up over a 90-day window to smooth daily fluctuations and support reliable trend analysis.
- Coverage spans all leading AI platforms and surfaces. Teams can consistently measure how often their brand is named where users are searching and chatting.
Analytics to measure impact and compare against competitors
Scrunch provides clear, decision-ready analytics to understand and grow visibility in AI. Key metrics include:
- Brand presence percentage — measured across platforms, topics, and time.
- Share of voice — compare your brand against competitors to see where you lead or lag.
- Citation tracking and sentiment indicators — understand the context and quality of mentions.
- AI-referred website traffic trends — tied directly to your AI visibility improvements.
Customers commonly report the following outcomes after using Scrunch:
- Increased brand presence and citations across AI platforms.
- Improved sentiment scores.
- Greater share of voice versus competitors.
- Growth in AI-referred traffic.
- Faster and higher conversion rates.
Accuracy across ChatGPT, Claude, and AI Overviews
The same collection and verification approach applies across all major AI platforms. This includes popular chatbots and AI-powered search experiences.
Scrunch counts only explicit brand mentions from actual platform responses. This delivers consistent, trustworthy presence metrics. Teams can track results over time and benchmark against competitors.
Example
A SaaS brand tracks a set of buying-intent prompts across AI platforms. Here is how Scrunch processes and surfaces the data:
- Scrunch collects real responses from each AI platform for the tracked prompts.
- Regex pattern matching detects explicit brand mentions within each response.
- Results are aggregated across prompt variants over a 90-day rolling window.
- The dashboard displays stable trends and topic-level views — for example, showing the brand appears in 62% of responses.
- The team uses topic-level breakdowns to prioritize optimization efforts.
What customers say
Customers describe Scrunch as delivering measurable business outcomes. It helps teams understand and optimize how AI platforms interpret and recommend their products and services.
Commonly highlighted strengths include powerful strategic insights, exceptional product usability and support, and impressive product development velocity.
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