Scrunch AI tracks AI visibility across multiple engines. It is strong on citation sources and AI agent traffic, thin on reporting and next-step guidance, and priced from about $300 a month for monitoring, with custom enterprise plans above that. This Scrunch AI review is for CMOs and heads of SEO, growth and demand gen who already run search programs and need to know whether Scrunch's citation and agent-traffic data justify the spend. It skips the GEO basics and draws on Scrunch's documentation, developer docs, independent reviews and G2 feedback as of October 2026. Scrunch sits in the same tracking category as Profound and Semrush's AI Visibility Toolkit, and according to the most recent source available, Sitecore acquired it in June 2026.
Key takeaways
- Scrunch AI tracks brand mentions, citations, share of voice, sentiment, answer position and AI bot traffic across ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overviews and Google AI Mode.
- Scrunch classifies cited sources as owned, third-party or competitor, and it ranks citation gaps by observation count, gap rate per tag and how close a brand is to being cited.
- Scrunch's agent traffic reports show which pages AI agents visit but do not attribute conversions, so ROI still has to be inferred through GA4.
- Third-party sources list Scrunch's monitoring plans at $300, $500 and $1,000 a month, with custom enterprise pricing and a 7-day trial on Starter.
- Scrunch suits teams that want the data and will act on it themselves, while teams that need executive-ready reporting or execution will hit its limits quickly.
| Item | Summary |
|---|---|
| What it is | An AI search visibility tracker covering 7 major AI engines and surfaces, plus AI agent traffic monitoring |
| Best for | Agencies and in-house SEO teams that will turn citation data into content work themselves |
| Skip if | You need polished client reporting, deep historical trends, or someone to do the fixing |
| Bottom line | Good measurement at a mid-market price; you supply the reporting and the execution |
What Scrunch AI is and how it collects answers
Scrunch AI monitors how AI assistants and AI search experiences represent a brand, collecting answers through a mix of API calls, browser sessions and panel data. It tracks AI search visibility. It does not produce content or run Reddit marketing.
Engines and collection methods
Scrunch covers ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overviews and Google AI Mode. Its citation documentation also lists Grok, Qwen, Meta/Llama, Brave, DuckDuckGo, Naver and Baidu. Sources describe three collection methods:
- API integrations with the model providers
- Browser sessions that capture answers the way a user sees them
- Panel data
The mix matters because API responses often differ from what a logged-in user sees in the ChatGPT app or in a Google AI Overview. A tracker that relies only on APIs can report visibility that buyers never actually see.
What it measures
Scrunch reports brand mentions, citations (including citation share by brand, competitor or domain), share of voice, sentiment, position within the answer (top, middle or bottom), and AI referral and bot traffic. It integrates with GA4, Google Search Console, WordPress and Slack, and it offers an API and an MCP server. The available sources do not confirm BI tool connectors, so plan on the API if you want the data in Looker or Power BI.
How this review was built: it combines Scrunch's documentation, developer docs, independent reviews and G2 feedback. We did not run a controlled test of our own, so the pricing section includes a test plan you can run during the trial.
How Scrunch AI measures citations, and where the data misleads
Scrunch links each AI answer to the sources behind it. The data misleads when the tracked prompts, topic tags or source attributions are wrong. Scrunch counts a citation gap whenever the brand is missing from a relevant prompt.
How citations are attributed
Scrunch links each AI answer to the specific websites it drew from and sorts them into three buckets: owned (your domain), third-party (publishers, review sites, forums) and competitor. For a content team, this split is the most useful part of the product. If ChatGPT answers a category query by citing a G2 page and two competitor blogs, the fix is outreach and comparison content. If your own docs page is cited but sits low in the answer, the fix is a page refresh.
How citation gaps are scored
Scrunch's MCP documentation on visibility gaps lists the signals it uses to prioritize work:
| Signal | What it tells you | How to use it |
|---|---|---|
| Presence | Whether the brand appears at all | Baseline coverage by prompt set |
| Position | Where the brand sits in the answer | Separates "mentioned" from "recommended" |
| Sentiment | Tone of the mention | Flags inaccurate or negative framing |
| Citation relevance | How closely the cited source fits the prompt | Shows which pages are worth refreshing |
| Observation count | How often a pattern repeats | Filters out one-off model noise |
| Gap rate per tag | Share of prompts in a topic where you are absent | Ranks topics for new content |
| Urgency / proximity | How close you are to being cited on near-miss prompts | Finds quick wins first |
Where citation data misleads
Citation data is only as good as the prompts behind it, and the sources flag four failure points:
- Tracked prompts are not real queries. Scrunch measures the prompts you or the platform choose, which may not match what buyers type. Closing a gap on prompts nobody asks is wasted effort.
- Tagging errors. If a prompt is tagged to the wrong topic, gap rate per tag sends content effort to the wrong place.
- Platform skew. Engines produce answers at different volumes and cite differently, so observation counts are hard to compare across engines.
- Bad source attribution. A citation can be outdated, incorrectly attributed or taken out of context.
Model output also varies from run to run, so treat any single-week movement of a few points as noise and trust a trendline only once it holds across several refresh cycles. The same caveats apply to every AEO tool that reports citations and share of answer, Scrunch included.
Agent traffic: what the reports show and what they miss
The reports show which pages AI agents visit and how often. They do not connect an agent visit to a conversion, so use them to diagnose AI discoverability and keep them out of revenue reporting.
What the reports contain
- Agent Pages: the specific URLs AI agents visit
- Agent Traffic: volume and patterns of AI agent requests over time
- AI search trends: how AI-driven discovery behavior is shifting
- AI referral traffic: human visits arriving from AI platforms, through the GA4 connection
G2 reviewers name the GA4 integration and agent traffic monitoring among Scrunch's best features. Some also report bugs in the GA4 and Cloudflare integrations that force re-authentication.
The gaps
The available sources show no direct conversion attribution from agent visits. You can see that GPTBot or PerplexityBot crawled your pricing page. You cannot see from Scrunch alone whether that crawl led to a cited answer, a referral visit and a demo request. You join those dots in GA4 or your own analytics, usually by matching AI referral sessions (sources such as chatgpt.com or perplexity.ai) to landing pages and conversion events.
Reviewers also note that on larger sites, bot monitoring can mean checking pages one by one. On a site with tens of thousands of URLs, that work falls on whoever owns technical SEO.
Where Scrunch AI is strong and where it falls short
Scrunch does best with multi-engine citation and traffic data. It does worst with reporting, explaining how often data refreshes, and turning findings into action.
Strengths
- Broad engine coverage with mixed collection. Scrunch covers all 7 major surfaces through API, browser and panel data, so it is less likely to track answers users never see.
- Custom prompts and personas. Agencies on G2 like being able to track custom prompts against competitors and tie the results to content strategy.
- Fast setup and support. G2 reviewers mention onboarding in hours, support replies within 30 minutes and monthly feature updates.
- Price-to-function ratio. Several G2 reviewers say they tested competing tools, including Profound and Semrush AIO, before choosing Scrunch on price and functionality.
Weaknesses
- Reporting and exports. Users ask for SVG/PNG chart exports and PDF reports, and many fall back on screenshots. An executive-ready monthly report means exporting data and rebuilding the charts in Excel or slides.
- Unclear refresh cadence. Scrunch describes continuous, near real-time monitoring, but some reviewers report weekly updates and say the cadence is not clearly explained. Weekly works for content iteration but is too slow for crisis response, such as a model repeating an inaccurate claim about a product recall.
- Thin history and data quirks. Reviewers want the deeper trend tracking and benchmarking that established SEO tools offer, and without it quarter-over-quarter reporting is hard. Users also report that personas cannot be edited after creation, old prompt tags are hard to remove, and brand mention counts differ between views. That kind of mismatch hurts confidence when a number reaches a CMO.
- Low actionability. Reviewers say the insights offer little guidance on what to do next, and Scrunch lacks workflows for optimization, outreach or content creation.
The Agent Experience Platform (AXP)
Scrunch's AXP creates a parallel version of a site translated for AI traffic. Serving different content to bots than to humans depends on request-layer detection, such as user-agent strings or verified IP ranges, usually handled at a CDN or edge layer. Before deploying it, ask Scrunch four things:
- Which CDN setup and DNS changes AXP requires
- How AXP content stays in sync with the human-facing page
- How it avoids conflict with Google's spam policies on cloaking
- What before-and-after citation data shows the effect is real
Until that evidence exists for your stack, treat AXP as an experiment rather than a reason to buy.
Scrunch AI pricing and plan fit
Scrunch AI's monitoring plans run from about $300 to $1,000 a month, with custom Enterprise pricing above that and separate Agent Experience pricing. Tiers depend on prompt volume, engine usage, personas and audits rather than seats or keywords.
Plans
Prices conflict across sources, so check your quote. Third-party reviews most consistently list these monitoring plans:
| Plan | Price | Realistic fit |
|---|---|---|
| Starter | $300/mo (one source: $250/mo billed annually); 7-day free trial | One brand and a focused prompt set, to check whether AI visibility is a real problem |
| Growth | $500/mo | A mid-market team tracking several competitors and personas |
| Pro | $1,000/mo | Agencies or multi-product brands with high prompt volume across engines |
| Enterprise | Custom | Large brands that need expanded coverage and dedicated support |
Scrunch's own site lists separate Agent Experience pricing. Professional costs $299/month (up to 500 agent deployments, 5 user licenses, API access), and Enterprise costs $2,400/month (unlimited deployments and licenses, full API plus webhooks, a dedicated support team). One third-party source also cites an Explorer plan at $100/month.
Watch two cost traps. First, each engine tracked can count separately against prompt credits, so 100 prompts across 5 engines could consume credits like 500 prompts. Second, a few G2 reviewers mention pricing terms shifting during the contract process, so get every term in writing.
ROI framing
Judge the cost by the decisions the data changes, not by the dashboards it produces. For example, a B2B software team on Growth pays $6,000 a year. If citation gap data redirects two quarterly content sprints toward prompts where the brand sits just outside the cited set, one influenced enterprise deal covers that cost many times over. An agency billing clients for AI visibility reporting can absorb Pro if it serves three or more clients. A small team with no writer to act on the gaps gets little from any tier.
A trial test plan
- Connect GA4 and Search Console on day one.
- Add three to five named competitors.
- Build 50 prompts across five classes: branded, competitor comparison, category discovery, high-intent commercial and long-tail technical.
- Run them across at least ChatGPT, Perplexity and Google AI Overviews, and watch credit consumption.
- Re-check the same prompts at the end of the trial to judge output stability.
- Export everything and time how long a one-page executive summary takes to build.
How Tellr fits alongside an AI visibility tracker
Tellr does the work a tracker like Scrunch points to. It changes what AI engines and Google cite instead of only reporting it. A senior team runs one governed program on Tellr's own platform, with approvals and an audit trail. Tellr is built for enterprise marketing teams, so smaller teams with modest budgets are better served by a self-serve tracker.
- Tracks weekly which domains Google and its AI Overviews cite for your category's queries, labelled as own site, competitor, Reddit, review sites or references
- Publishes comparison pages, reviews and answer-shaped articles straight to your CMS
- Holds guideline-checked Reddit replies behind an approval gate
- Provides category ad intelligence and ready-to-run creative
Verdict: who should buy Scrunch AI, and who should look elsewhere
Scrunch AI is worth buying for agencies and mid-market SEO teams that want multi-engine citation and agent traffic data at a mid-tier price and have the people to act on it.
| Criterion | Scrunch AI | Profound | Semrush AI Visibility Toolkit |
|---|---|---|---|
| Engines | All 7 major surfaces | All 7 major surfaces | All 7 major surfaces |
| Collection | API, browser, panel | API, browser, panel | Mainly API, some browser |
| Citation depth | Owned/third-party/competitor split, gap scoring | Citation and source analysis | Citations and share of voice |
| AI traffic | Agent pages, agent traffic, GA4 referrals | AI crawler activity, AI referral traffic | Not directly measured |
| Refresh | Stated near real-time; reviewers report weekly | Weekly index | Daily rankings, weekly brand data |
| Enterprise governance | Not documented in sources | SSO, roles, approvals, audit trail, SOC 2 Type II | Not documented in sources |
| Pricing | $300, $1,000/mo; Enterprise custom | Custom; 7-day trial | $99/mo per domain; $45/user; $60 per 50 prompts |
| G2 rating | 4.6 (73) | 4.6 (1,124) | 4.5 (3,945) |
Look at Profound if you need documented enterprise governance such as SSO, approval workflows and SOC 2 Type II; our Profound vs Scrunch comparison covers that trade-off. Look at Semrush if you already pay for it and want cheap per-domain tracking with daily rankings; see how Scrunch compares with Semrush for the detail. Skip all three if nobody on your team will write the pages or run the outreach the data calls for.
The bottom line of this Scrunch AI review is that Scrunch measures AI citations and agent traffic well for the money. Budget extra time for reporting, read short-term trends cautiously, and decide who will act on the gaps before you sign.
FAQ
What does Scrunch AI track?
Scrunch AI tracks brand mentions, citations, share of voice, sentiment, answer position, and AI referral and bot traffic across ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overviews, and Google AI Mode.
How does Scrunch AI score citation gaps?
Scrunch prioritizes citation gaps using signals including presence, position, sentiment, citation relevance, observation count, gap rate per tag, and urgency or proximity to being cited. The goal is to show which missing citations are most worth fixing first.
Can Scrunch AI show whether AI agent visits lead to conversions?
No. Scrunch shows which pages AI agents visit and how often, but the available sources do not show direct conversion attribution from agent visits. To estimate ROI, teams still need to connect the dots in GA4 or their own analytics.
How much does Scrunch AI cost?
Third-party sources most consistently list Scrunch monitoring plans at $300 per month for Starter, $500 per month for Growth, and $1,000 per month for Pro, with custom Enterprise pricing above that. A 7-day free trial is listed for Starter, but sources conflict, so confirm pricing in your quote.
Who is Scrunch AI best for?
Scrunch is best for agencies and in-house SEO teams that want multi-engine citation and agent traffic data and have the people to turn those insights into content updates, outreach, and reporting themselves. Teams that need polished executive reporting or hands-on execution will likely hit its limits.