Scrunch AI review: visibility tracking paired with an AI-facing version of your site

Scrunch AI monitors how brands show up across AI platforms and, distinctively among the products reviewed here, also builds and serves an AI-optimized version of a customer's website — a structured, stripped-down format aimed at the crawlers and agents that visit on a user's behalf rather than at human readers. It positions itself in the answer-engine-optimization category alongside pure monitoring tools, but with a second, more hands-on product layer.

Who makes it

Scrunch AI was founded in 2023 by CEO Chris Andrew, previously chief product officer at Hearsay Systems, and CTO Robert MacCloy, formerly Hearsay's CTO, according to investor Mayfield's writeup of the company. The company is based in Salt Lake City, Utah. Scrunch's site states it is trusted by "500+ leading brands and agencies," a vendor-published figure we have not independently verified.

Engines it covers

Scrunch's Core plan tracks 4 LLMs: ChatGPT, Perplexity, Google AI Overviews (AIO), and Microsoft Copilot. Its Enterprise tier expands "expanded model coverage" to 9 LLMs, adding Claude, Gemini, Meta AI, Google AI Mode, and Grok. As with several competitors in this category, the meaningful jump in engine breadth — from 4 to 9 — sits behind a custom-quoted tier rather than a published price.

How it collects data

Scrunch's public FAQ states that the company "collects real responses from major AI platforms ... using a mix of browser automation and official platform APIs," and that "the collection method is chosen per platform to best reflect how consumers actually interact with each one." The company describes simulating a consumer interaction — for instance, asking Perplexity a question — and recording the full response and citations. This is one of the more direct public statements on collection methodology in the category, though Scrunch does not publish, engine by engine, which method applies where, so a buyer cannot confirm from the FAQ alone whether their specific tracked engines are API-based, browser-based, or both.

Core features

Scrunch groups its product into three areas it labels Monitor, Analyze, and Optimize. Monitor covers prompt tracking, citations and sources, funnel-stage classification, and a reporting dashboard. Analyze includes site audits (5 per month on Core), AI agent and bot traffic tracking, sentiment analysis, and "insights and recommendations." Optimize includes page-level content optimizations and, at a more limited "basic" level on Core, AI content generation; the fuller "Agent Experience Platform" (AXP) — the tool that reformats a site for AI agents — is available at Core in a limited form and expands at Enterprise. Data access options include a Looker Studio connector, query API, MCP access, and CLI access, though most of these are Enterprise-only per Scrunch's published feature matrix.

Pricing, checked September 2026

As published on scrunch.com/pricing on 2026-09-25:

• Core: $250/month — 125 unique prompts, 5 site audits/month, 1 brand workspace, 5 user licenses, 1 country, 1 persona, 1 language, tracking against 5 named competitors, 4 LLMs supported
• Enterprise: custom — a custom number of prompts, complete site audits, custom workspace and license counts, API access and integrations, expanded model coverage to 9 LLMs, SSO (SAML, OIDC), and a dedicated account team

Scrunch previously advertised an intermediate "Growth" plan around $400/month in some third-party coverage; that tier does not appear on the company's current live pricing page as of our September 2026 check, suggesting the lineup has been consolidated to two tiers.

Strengths

Scrunch's FAQ-level disclosure of a mixed API-and-browser-automation collection method, chosen per platform, is more forthcoming than several competitors that leave the question unanswered entirely. Its site-audit and Agent Experience Platform features address a genuinely different problem than pure visibility tracking — whether a site is even structured in a way AI crawlers can parse cleanly — and bundling that with monitoring is a reasonable pitch for a team that wants to act on findings rather than just observe them. Named bot tracking (GPTBot, ClaudeBot, PerplexityBot) paired with GA4-connected referral data is a practical touch for teams trying to tie AI visibility back to actual site traffic.

Limitations

At $250/month, Core's 125-prompt allowance and 4-engine ceiling are on the modest side relative to the starting price, particularly next to lower-priced competitors that include a similar or larger prompt allotment. The exclusion of Claude and Gemini from Core is a meaningful gap given how often those two engines come up in AEO discussions, and reaching them means an Enterprise conversation with no published price to plan against. The per-platform collection method, while disclosed in principle, isn't broken out by specific engine, so a prospective buyer focused on, say, Perplexity accuracy can't confirm from public materials alone whether that specific engine is queried via API or browser session.

Who it's best for

Scrunch suits mid-market and enterprise teams — particularly those with a dedicated AEO or content function — who want visibility monitoring combined with tools to actually restructure a site for AI agents, rather than monitoring alone. Solo marketers or teams that just want a visibility number without the site-optimization layer may find the $250 entry price harder to justify against narrower competitors.

Verdict

Scrunch AI's combination of monitoring and an agent-facing site layer is a genuinely distinct pitch in this category, and its public disclosure of a mixed, per-platform collection method is more transparent than average. Its Core tier's 4-engine limit and its Enterprise-gated path to Claude and Gemini are the main things a buyer should weigh against the $250 starting price before assuming it covers everything the category name implies.