This Scrunch review looks at what the platform actually does, what it costs, and who it fits. Scrunch is an AI customer-experience platform that tracks how brands show up in AI answers, compares that against competitors, and then tries to help you fix what it finds, up to and including delivering different content to AI agents than the one your human visitors see. It is a good fit for enterprise marketing, SEO, and agency teams that need serious reporting across several AI platforms and a path from measurement to action. It is a harder sell for a small team that just wants a cheap way to check a handful of prompts, because the entry plan costs $250 a month and still caps how much you can track, and a weaker fit if you also need the content produced against what the tracking finds, which is where something like DeepSmith covers both halves. The rest of this review walks through the features, the Scrunch pricing, and where the product holds up and where it does not, so you can judge for yourself whether Scrunch AI search visibility monitoring is worth building your reporting on.
What Scrunch Is and Who Makes It
Scrunch was founded in 2015, according to the company-data record reviewed for this piece, and its leadership team includes Danielle Lewis as co-founder and CEO, Salvatore Garozzo as co-founder and CPO, and David Novakovic as co-founder and CTO. The company describes itself as an AI customer-experience platform rather than a narrow rank tracker, breaking the product into three stages: observe what AI systems say about you and your competitors, understand and act on the gaps that turn up, and deliver optimized content, including content built for AI agents.
Two events matter for judging how mature Scrunch is right now. In July 2025, Scrunch announced a $15 million Series A and said its paying customer base had grown by more than 50% month over month at the time. That growth number is a claim the company made about itself, not something an outside auditor checked, so treat it as directional rather than proven. Then in June 2026, Sitecore announced it had acquired Scrunch, describing it as an enterprise-grade platform for optimizing AI search presence and saying Scrunch is trusted by more than 500 brands and agencies. That customer count is also a vendor claim rather than an independently verified figure.
Taken together, the funding and the acquisition are a real signal that Scrunch has strategic value and is not a side project. They do not, on their own, tell you whether every part of the product is polished or whether its data holds up under scrutiny.
What Scrunch AI Search Visibility Tracking Covers
Once you set up prompts, Scrunch checks how your brand and your competitors show up when those prompts are asked of AI platforms. It reports on brand presence as a percentage over a chosen period, competitive presence, where your brand lands in an answer (top, middle, or bottom), and sentiment, meaning whether the mention reads as positive, mixed, or negative. It also tracks citations, meaning the sources an AI answer actually links to, broken down by brand, competitor, and third party. Scrunch gives an example where a brand shows up in 45% of tracked responses while a competitor shows up in 78%, and it is worth being clear that this is an illustration from the company, not a typical result to expect.
Beyond the core mention-and-citation numbers, Scrunch also reports on shopping-style AI responses, AI search volume for a topic, AI bot traffic hitting your site, and AI referral traffic. An in-app assistant called Scrunchie is built to help you dig into the numbers without building your own filters. For new prompts, Scrunch collects responses daily for the first 14 days, then settles into a default refresh of every 72 hours, with a manual refresh option if you need a number right now. That cadence matters if you compare a Scrunch dashboard against what you personally see when you type the same question into ChatGPT, since the two will not always match minute to minute.
Scrunch also goes further than most tools in this category by describing itself as a way to move from measurement into action. It says it can flag meaningful changes automatically, explain what likely caused them, and suggest next steps, which helps if you are the person keeping a reporting cadence going every week rather than running one-off checks. The share of voice and competitor breakdowns feed the same idea: you are not just watching your own number move, you are watching it against a defined set of rivals.
Reporting, APIs, and the Agent Experience Platform
Scrunch documents two separate APIs, and the distinction matters if you plan to build anything on top of the data. The Query API returns aggregated metrics, the same numbers that power the dashboard, meant for weekly and monthly reporting, trend analysis, scheduled exports, and feeding a BI tool like Looker, Power BI, or Tableau, grouped by date, prompt, platform, competitor, or source URL. The Responses API is different: it captures the full AI answer text along with citations, sentiment, and metadata for each individual prompt run, which is what you would use if you need the exact answer rather than a summary number. Scrunch's public documentation does not state API pricing, rate limits, or whether API access is included on the entry plan, so that is worth confirming before you build a reporting workflow around it.
There is also an agent traffic API that can pull AI bot logs from a CDN or edge worker, which connects to the most distinctive part of the product: the Agent Experience Platform, or AXP. AXP converts your existing pages, PDFs, and other assets into formats AI systems can parse more easily, applies rules to redact or restructure content, and serves that optimized version to AI agents at the edge, through Cloudflare, Akamai, or AWS CloudFront, while your human-facing site stays untouched. That is a genuinely different idea from most visibility tools, which stop at telling you what to change on your own pages. It also raises real questions: how you approve what gets served to an agent, how you keep the edge version from drifting from your canonical site, and how much technical access your team needs. Scrunch's public materials describe the capability without answering those questions in detail, and AXP is not part of the entry plan, so it is a diligence item for later-stage conversations.
Scrunch Pricing
Scrunch's public pricing has two brand tiers and two agency tiers. Core, the self-serve entry plan for brands, costs $250 a month and includes 125 unique prompts, five site audits a month, one brand workspace, five user licenses, and four named AI platforms: ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot. It also includes one country, three personas, two languages, five competitors, and one page optimization a month, along with basic content generation, a reporting dashboard, and email support. Enterprise, the second brand tier, moves everything to custom limits and adds product observability, AXP access, advanced content generation, API access and integrations, SAML and OIDC single sign-on, expanded model coverage across nine platforms (the four above plus Claude, Gemini, Meta AI, Google AI Mode, and Grok), a dedicated account team, and executive reporting. Scrunch does not publish an Enterprise price, so you need a sales conversation to get an actual number.
On the agency side, the FAQ lists Agency Core at $500 a month, with a custom Agency Enterprise tier above it for prospecting features, multi-client workspaces, and partner benefits. A 7-day free trial is offered on Core, though the public material does not say whether every Core feature is available during the trial or whether trial data carries forward into a paid workspace.
The number worth sitting with is not $250 by itself, it is what that $250 buys. One workspace, one country, and four platforms is a real constraint if your brand operates in multiple markets or if the platforms your buyers actually use include Gemini or Claude, both of which sit behind Enterprise. Core is a reasonable price for a team that will use the audits, the recommendations, and the competitor tracking as a full reporting system. It is a lot to pay for a business that only wanted a basic mention check across a handful of prompts.
Where Scrunch Shines
Scrunch's biggest strength is breadth. Most tools in this category track mentions, maybe citations, and stop there. Scrunch adds position, sentiment, shopping answers, AI search volume, bot traffic, and referral traffic, which gives a more complete AI visibility picture than a simple mention counter. The reporting layer backs that up: two separate APIs, multiple grouping dimensions, and stated compatibility with common BI tools make Scrunch a credible option for a team that needs to feed AI-search numbers into an existing pipeline rather than check a dashboard by hand.
The product also connects measurement to action in a way a lot of competitors do not attempt. Recommendations covering technical fixes, content restructuring, and content enrichment sit next to the monitoring numbers, and AXP takes that further by changing what gets served to AI agents. Add enterprise features like SOC 2 Type II compliance, SSO, role-based access, multi-brand and multi-domain support, and agency workspaces for managing several clients at once, and the picture is a platform built for organizations scaling an AI-visibility program rather than running one small project.
The Sitecore acquisition adds a real, if indirect, point in Scrunch's favor. Being acquired by an established digital-experience company signals that Scrunch's technology and customer base had enough value to be worth buying, a different kind of validation than a funding round alone.
Where Scrunch Falls Short
The most consistent theme across Scrunch's public materials is that the interesting capabilities live on Enterprise, not Core. AXP, product observability, advanced content generation, expanded model coverage, and API access and integrations are all listed as Enterprise items. If you price Scrunch on what the marketing pages describe rather than what the $250 plan actually includes, you will overestimate what you are buying at the entry tier.
Enterprise pricing itself is opaque. Scrunch does not publish a number, and many of the limits on that tier are custom, which makes it hard to compare against a competitor without a full sales process first. That is a normal pattern for enterprise software, but it means you cannot get an apples-to-apples cost comparison from the public site alone.
The methodology detail is thinner than you might want if this data is going into a board deck. Scrunch explains that it combines browser automation and official platform APIs and describes a general refresh cadence, but it does not publish platform-by-platform detail on sampling volume, how it measures citation rate, model versions, or how it handles the volatility built into AI answers, where the same question can produce a different response from one run to the next. None of that proves the data is wrong, but it means you should ask before building a budget decision on a single trend line.
The content-production side is also less documented than the monitoring side. Scrunch describes website audits, content optimization, and a content editing surface, but the public pages reviewed here do not establish a full editorial system with a content calendar, scheduled article generation, or a repurposing workflow. If that is what you actually need, do not assume Scrunch's "content optimization" language covers it without confirming directly.
Who Scrunch Is For (and Who Should Look Elsewhere)
Scrunch fits enterprise marketing and SEO teams building an ongoing AI-visibility reporting program, brands tracking several competitors, countries, or languages at once, organizations that want a data API feeding an existing BI setup, and agencies managing multiple client accounts that need a shared workspace rather than separate logins per client. It also suits a digital-experience team that is specifically interested in agent traffic and edge-delivered content, since AXP is not a common feature at any price point.
It is a harder fit for a solo marketer or a small team that only wants inexpensive prompt tracking, since Core's $250 price and its caps on prompts, countries, and platforms are built around a bigger operation than that. It is also a poor match for a team that wants full plan transparency before talking to a salesperson, since the most capable features are locked behind an Enterprise quote. And if your main need is a complete content calendar with automated writing and publishing built in, enterprise AEO strategy programs that pair Scrunch-style monitoring with a separate production tool are worth exploring before assuming Scrunch alone covers that gap.
Alternatives to Consider
DeepSmith tracks the same AI-visibility data Scrunch does, mention rate, citation rate, share of voice, sentiment, and which of your pages AI actually cites, across ChatGPT on the entry plan and up to all ten covered engines on Enterprise, and then produces the publish-ready articles that close the gaps it finds. That production half is the axis Scrunch leaves to a separate tool: Opportunity Agents turn a visibility gap into ideas that carry the data point justifying them, and Content Studio researches, writes, links, illustrates, and publishes the article straight to WordPress, Webflow, Strapi, Sanity, or Contentful. Plans are $99, $199, and $399 a month with a 7-day free trial, which also puts the entry point below Scrunch Core.
Peec AI covers similar ground to Scrunch on visibility, position, sentiment, and share of voice, with prompt organization, recommendations, reporting exports, a Looker Studio connector, an API, and MCP support, though it does not publish monetary prices for its Starter, Pro, and Advanced tiers, so you would need a current quote to compare total cost (Scrunch and Peec cover similar ground).
OtterlyAI takes the opposite approach on pricing, publishing clear tiers from $29 a month for 15 prompts on Lite to $189 on Standard and $489 for 400 prompts on Premium, with four engines on the base plans and Claude, Gemini, and Google AI Mode as paid add-ons, which makes it the lighter, clearly priced entry point next to Scrunch's $250 Core.
Neither Peec nor Otterly is a strict upgrade or downgrade from Scrunch. Peec leans toward a similar depth of reporting without a public price tag, and Otterly leans toward transparent, lower-cost tiers with a lighter feature set at the entry level.
Is Scrunch Worth It?
Scrunch is worth it if you run an enterprise marketing, SEO, or agency operation that needs multi-platform AI-visibility reporting, an API into your existing BI tools, and a real path from insight to optimization, and you are comfortable working through a sales process to get the Enterprise numbers that unlock most of that value. It is a harder case if you are a small team, you want full pricing transparency up front, or your primary need is basic prompt monitoring rather than a full reporting and optimization stack, since Core's $250 monthly price still leaves you capped on prompts, countries, and platform coverage.
The gap this review keeps landing on is production. Scrunch's monitoring scope is wide, but its public materials describe website audits, recommendations, and content optimization rather than a system that researches, writes, and publishes the articles those audits call for. DeepSmith is built across that whole axis: it tracks mention rate, citation rate, share of voice, and the pages AI cites, then produces on-brand, publish-ready articles against the specific gaps it finds, with Autowrite taking a planned idea all the way to a published post with no one in the app. That is not a claim that DeepSmith beats Scrunch at enterprise visibility reporting, agent-facing delivery through AXP, or the BI-grade APIs Scrunch documents. It is a different shape for a team whose unmet need is the content itself. If you want to see what that looks like, DeepSmith offers a free trial with real data and real drafts before you pay anything.
