Scrunch AI Review 2026

Key takeaways

• Scrunch AI is an AI search visibility and monitoring platform that tracks how brands appear in responses from ChatGPT, Perplexity, Gemini, and other LLMs
• Monitoring-only focus: Scrunch lacks content generation, AI crawler logs, traffic attribution, Reddit/YouTube tracking, and ChatGPT Shopping monitoring that Promptwatch provides -- making it a tracker rather than an optimization platform
• Pricing starts at $250/month for self-serve, which is competitive but limited in scope compared to what you get elsewhere
• Best suited for mid-size marketing teams and agencies that want a clean dashboard for AI brand monitoring without needing deep optimization workflows
• No free tier for the GEO product; the influencer marketing "free tier" referenced in some search results belongs to an older, separate product line

Scrunch AI is a Sydney-based software company that has pivoted from influencer marketing analytics into the fast-growing space of Generative Engine Optimization (GEO) and AI search visibility. The current product -- sometimes referred to simply as "Scrunch" -- helps brands understand how they appear (or don't appear) when users ask AI assistants questions relevant to their industry. Think: "What's the best project management tool for remote teams?" or "Which CRM should a B2B SaaS startup use?" Scrunch tracks whether your brand shows up in those answers, how often, and how you compare to competitors.

The pivot is worth noting because it explains some of the brand confusion you'll encounter. Older references to Scrunch AI describe an influencer marketing platform with a $99/month Premium Cloud plan and a free tier. That product still exists in some form, but the company's current focus and primary offering is the AI visibility monitoring suite. If you're evaluating Scrunch for GEO purposes, ignore the influencer marketing pricing you'll find in older search results.

The target audience for the GEO product is marketing teams at mid-to-large companies, SEO agencies managing multiple client brands, and digital strategy teams that need to report on AI search performance. It's not a tool for solo consultants or small businesses -- the pricing and feature depth are aimed at teams with dedicated resources for brand monitoring and competitive intelligence.

Key features

Prompt tracking and brand mention monitoring The core of Scrunch is tracking a set of prompts across multiple AI models and recording whether your brand appears in the responses. You define the prompts relevant to your category -- product comparisons, use-case queries, "best of" lists -- and Scrunch runs them regularly, logging when your brand is cited, how prominently, and in what context. This is table-stakes functionality for any GEO platform, and Scrunch handles it competently.

Competitor visibility comparison Scrunch lets you benchmark your AI visibility against named competitors. You can see which brands are appearing more frequently than yours for specific prompt categories, and track how that changes over time. The competitor heatmap view gives a side-by-side breakdown of share of voice across different AI models. This is useful for executive reporting and for identifying where you're losing ground.

Website AI audit One of Scrunch's more distinctive features is a website audit that evaluates how well your existing content is structured for AI citation. It flags pages that are poorly optimized for LLM consumption -- things like missing structured data, thin content, or pages that AI crawlers are likely to skip. This is a diagnostic tool rather than a fix-it tool; it tells you what's wrong but doesn't generate the content to address it.

Multi-model coverage Scrunch monitors responses across several major AI models, including ChatGPT, Perplexity, Google Gemini, and Claude. The exact breadth of model coverage is a key differentiator in this space, and Scrunch covers the main ones that matter for most brands. That said, coverage of newer or regional models (DeepSeek, Grok, Mistral, Meta AI) appears limited compared to platforms that explicitly list 10+ models.

Share of voice reporting Beyond binary "did we appear or not" tracking, Scrunch provides share of voice metrics that show what percentage of relevant AI responses include your brand versus competitors. This is the metric most marketing teams care about for executive dashboards and quarterly reviews.

Prompt library and category organization Scrunch allows you to organize prompts into categories -- by product line, by competitor, by use case -- which makes it easier to manage large prompt sets and report on specific segments of your AI visibility. For agencies managing multiple clients, this organizational structure matters.

Trend tracking over time Visibility scores and share of voice are tracked historically, so you can see whether your AI presence is improving or declining. This longitudinal view is important for connecting content or PR efforts to changes in AI citation rates.

Alerts and reporting Scrunch includes alerting for significant changes in brand visibility -- useful for catching sudden drops that might indicate a content issue or a competitor surge. Reporting exports support standard formats for sharing with stakeholders.

Who is it for

Scrunch is a reasonable fit for marketing and SEO teams at established companies -- roughly 50-500 employees -- that have started taking AI search seriously and need a dedicated monitoring tool. A good example persona: a Head of Digital at a B2B software company who needs to show the CMO that the brand is appearing in ChatGPT and Perplexity responses for key category queries, and who wants to track that over time without building a custom solution.

Digital agencies managing AI visibility for multiple clients are another natural fit. The multi-brand structure and reporting features make it workable for account managers who need to show clients their AI search performance. That said, agencies that want to go beyond reporting and actually help clients improve their AI visibility will hit the limits of Scrunch's monitoring-only approach fairly quickly.

Industries where Scrunch seems to get traction include SaaS, financial services, and e-commerce -- categories where AI assistants are increasingly influencing purchase decisions and where brand visibility in LLM responses has measurable business impact.

Who should probably look elsewhere: solo SEO consultants or small agencies on tight budgets (the pricing is too steep), brands that need content optimization workflows built into the same platform, and teams that want deep traffic attribution connecting AI visibility to actual website visits and revenue. Scrunch doesn't offer AI crawler logs, content generation, or visitor analytics -- if those are on your requirements list, you'll need a different tool or a significant stack of additional products.

Integrations and ecosystem

Scrunch's integration story is relatively thin compared to more mature platforms. There's no publicly documented Zapier integration or native connection to tools like Google Search Console, HubSpot, or Slack. The platform appears to support data export for reporting purposes, but the API availability and developer documentation are not prominently featured -- suggesting this is not a platform built for custom workflows or programmatic access.

There's no browser extension or mobile app. The product is a web dashboard, and that's the primary (and seemingly only) interface. For teams that live in Slack or need automated alerts piped into their existing workflows, this is a gap worth noting.

The website audit feature does involve some form of site crawling, but this is distinct from AI crawler log monitoring -- Scrunch doesn't appear to offer visibility into which AI crawlers (Googlebot-Extended, ClaudeBot, PerplexityBot, etc.) are actually visiting your site and what they're reading.

Pricing and value

Scrunch's GEO product has three tiers:

• $300/month: Entry-level self-serve plan. Covers basic prompt tracking, brand monitoring, and competitor comparison for a single brand or a small number of brands.
• $500/month: Mid-tier self-serve plan. Expands prompt volume, adds more competitor slots, and likely includes more frequent tracking cadence.
• Enterprise/custom pricing: For larger organizations with multiple brands, higher prompt volumes, or custom reporting needs.

There is no free trial publicly advertised for the GEO product, which is a meaningful barrier for teams that want to evaluate before committing. The $300/month starting price is in the same ballpark as competitors like Profound and AthenaHQ, though what you get for that price varies significantly by platform.

For context: Promptwatch's Professional plan at $249/month includes AI crawler logs, content generation (15 articles/month), traffic attribution, Reddit and YouTube tracking, and multi-model coverage across 10+ AI engines -- features that Scrunch doesn't offer at any tier. That's not a knock on Scrunch's pricing in isolation, but it's relevant context when evaluating value.

For a mid-size marketing team that genuinely only needs monitoring and reporting -- no content generation, no traffic attribution -- Scrunch's pricing is defensible. For teams that want a full optimization workflow, the value equation gets harder to justify.

Strengths and limitations

What Scrunch does well:

• Clean, executive-friendly reporting that makes AI visibility data accessible to non-technical stakeholders
• Competitor benchmarking and share of voice tracking are solid for category-level competitive intelligence
• The website AI audit is a useful diagnostic that gives content teams a starting point for optimization
• Multi-model coverage across the major AI assistants covers the platforms that drive most AI search traffic today

Where it falls short:

• No content generation: Scrunch tells you where you're invisible in AI responses but doesn't help you create the content to fix it. There's no built-in writing agent or content gap analysis that generates articles optimized for AI citation. You're on your own for the "now what" part.
• No AI crawler logs: Understanding which AI bots are crawling your site, which pages they're reading, and what errors they're encountering is increasingly important for AI SEO. Scrunch doesn't offer this. Platforms like Promptwatch do.
• No traffic attribution: There's no way to connect your AI visibility scores to actual website traffic or revenue. You can see that your brand appeared in 40% of relevant ChatGPT responses, but you can't see how many clicks or conversions that drove. This makes it hard to justify the investment to finance teams.
• No Reddit or YouTube tracking: AI models heavily cite Reddit threads and YouTube content. Scrunch doesn't appear to surface which Reddit discussions or YouTube videos are influencing AI recommendations in your category -- a blind spot that matters for content strategy.
• No ChatGPT Shopping tracking: As ChatGPT's product recommendation and shopping carousel features grow, tracking brand appearances there is becoming important for e-commerce brands. Scrunch doesn't cover this.
• Limited prompt intelligence: There's no indication that Scrunch provides prompt volume estimates, difficulty scores, or query fan-out analysis -- the kind of data that helps you prioritize which prompts to target first.

Bottom line

Scrunch AI is a competent AI search monitoring tool that works well for teams that need clean dashboards and executive-ready reporting on brand visibility across major LLMs. If your primary need is tracking and reporting -- showing stakeholders that your brand appears (or doesn't) in AI responses, and benchmarking against competitors -- Scrunch gets the job done at a reasonable price point.

But if you want to actually improve your AI visibility, not just measure it, Scrunch hits a wall. There's no content generation, no gap analysis, no crawler logs, no traffic attribution. For teams that need the full optimization loop -- find gaps, create content, track results -- Promptwatch is the more complete platform, covering 10+ AI models with built-in content generation, AI crawler monitoring, and traffic attribution that connects visibility to revenue.

Best use case: A marketing team at a mid-size B2B company that needs a dedicated AI visibility monitoring dashboard for competitive reporting, and has separate resources for content creation and optimization.