Scrunch vs. Ahrefs: AI visibility tracking comparison
HubSpot compares Scrunch and Ahrefs Brand Radar for tracking brand visibility in AI search tools, highlighting their distinct approaches and practical use cases for marketers.
Scrunch is designed specifically for Agent Experience Optimization (AEO), tracking how AI tools like ChatGPT and Perplexity surface brands while also modifying what AI crawlers see on a website. It offers product-level shopping visibility and agency-focused workspaces, making it suitable for teams prioritizing direct AI crawler optimization. Scrunch’s Core tier covers four large language models (LLMs), expanding to nine on Enterprise plans, including newer models like Claude and Grok.
Ahrefs Brand Radar integrates AI visibility tracking within its existing SEO platform, leveraging a database of over 406 million real user search prompts to monitor brand mentions across multiple surfaces, including YouTube, Reddit, and TikTok. It provides a broader multi-channel tracking approach, appealing to teams already using Ahrefs for traditional SEO tasks. Brand Radar’s engine coverage spans seven platforms across all pricing tiers, offering wider accessibility without requiring an enterprise contract.
Prompt methodology differs between the tools: Ahrefs uses a proprietary database of real user search prompts, while Scrunch relies on AI Search Trends to estimate prompt activity and identify content gaps. Neither tool captures every possible query, so their reports should be interpreted as trend indicators rather than exhaustive data. Scrunch’s Query Fan-out analysis helps visualize how AI engines expand user queries, offering insights into related searches that may impact visibility.
Actionability varies by tool: Scrunch focuses on bot-side optimizations, including Agent Traffic analytics and Site Maps audits to identify technical barriers for AI crawlers. It claims to reduce page size for AI crawlers by roughly 26%, though this is a vendor assertion requiring validation. Ahrefs Brand Radar emphasizes citation tracking and reporting, allowing teams to see which domains and pages are cited in AI answers, though citation-level detail may require direct vendor demonstration during trials.