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The selection guideSource-backed research ↗
Analytics / AI visibility & analytics

Scrunch

AI search visibility, citations, crawler analytics, and product-level shopping insights

Visibility analytics
Why it stands out

Combines answer monitoring and citation analysis with crawler and site signals.

Source review: · Public-source research, not a hands-on test

↗ Best for

Ecommerce teams auditing whether products and attributes appear correctly in AI Shopping answers

! Know before you buy

Enterprise pricing, expanded model coverage, API access, and several quotas remain quote-dependent.

01 / Editorial assessment

Is Scrunch for you?

The AICiteKit take

Scrunch is a credible shortlist candidate for teams that do not want to treat AI visibility as a single dashboard score. Its current navigation exposes a useful measurement split: monitoring and citations for answer evidence, Agent Traffic for automated requests, Site Maps for how AI agents consume a site, and Shopping for product-level visibility. The new AXP and Content Delivery positioning broadens the product story, but should be evaluated as a separate implementation decision. Scrunch is worth testing when crawler behavior and ecommerce product rendering matter alongside prompt visibility. Core’s $250/month price and published limits make an initial evaluation easier to scope, but Enterprise pricing, expanded coverage, API access, and several quotas remain quote-dependent. During an evaluation, freeze a prompt set, inspect raw answer and citation evidence, compare crawler classifications with logs, and verify that Shopping findings map to real product-data changes.

A good fit if you are…

  • Ecommerce teams auditing whether products and attributes appear correctly in AI Shopping answers
  • SEO and content teams that need prompt results connected to cited pages and site diagnostics
  • Technical marketers investigating which AI agents request which sections of a site
  • Agencies that need client workspaces, repeatable prompt panels, and executive AI-search reporting
  • Teams willing to validate AI-search observations against server logs, analytics, feeds, and controlled content changes

Consider another option if…

  • Solo marketers who only need a few manual ChatGPT checks
  • Buyers requiring a broad independent review sample before purchase
  • Organizations that need fully transparent API, retention, and overage terms before speaking with sales
  • Teams expecting crawler access to automatically create citations or conversions
  • Product teams without reliable catalog, price, availability, review, and shipping data

02 / Scope, not promises

Features & coverage

Core limits

125 unique prompts, 5,000 responses/month, 5 site audits/month, 1 brand workspace, 5 user licenses

Archived research · Research dated 2026-10-01; confirm current termsResearch excerpt · Quick facts
Core LLM coverage

ChatGPT, Perplexity, Google AI Overviews, and Copilot

Archived research · Research dated 2026-10-01; confirm current termsResearch excerpt · Quick facts
Enterprise coverage

9 LLMs listed, including Claude, Gemini, Meta AI, Google AI Mode, and Grok

Archived research · Research dated 2026-10-01; confirm current termsResearch excerpt · Quick facts
Primary use case

AI-search visibility, citations, crawler analytics, and AI Shopping analysis

Archived research · Research dated 2026-10-01; confirm current termsResearch excerpt · Quick facts
Core price

$250/month

Archived research · Research dated 2026-10-01; confirm current termsResearch excerpt · Quick facts
Trial

7-day free trial; no credit card required

Archived research · Research dated 2026-10-01; confirm current termsResearch excerpt · Quick facts

Prompt monitoring and citations

Scrunch says its monitoring workflow tracks the prompts that matter, surfaces authoritative citations, and follows brand performance over time. A defensible setup should include branded, category, problem, comparison, alternative, evaluation, regional, and risk prompts. Record the exact prompt, model or surface, country, language, date, answer, mention definition, and cited URL. Citation data is useful for finding pages and domains that shape an answer. It does not prove that a user clicked the source or that the source was accurate.

Archived research context ↗

Insights and action

The Insights area is positioned as an action layer that provides tips to grow AI presence. Treat recommendations as prioritisation hypotheses. Each recommendation should be traceable to a prompt, answer, source, page, or product fact, then reviewed by an editor or technical owner before publication.

Archived research context ↗

Agent Traffic and Site Maps

Scrunch describes Agent Traffic as analysis of AI website traffic by AI model, page view, and bot type. Site Maps are intended to show how AI agents consume a site and what to fix. These are valuable technical signals when the implementation correctly identifies automated clients, but user-agent strings can be spoofed and infrastructure can hide requests. A request with a successful status code shows that a client received a response under the measured setup. It does not prove retrieval into an answer, a citation, human attention, or a sale.

Archived research context ↗

Shopping

The Shopping area is positioned as product-level AI-search performance. For ecommerce teams, the useful questions are more specific than “is the brand visible?”: Ask Scrunch to show the raw answer, source links, timestamp, engine, country, language, and product identifier for any reported observation.

Archived research context ↗

Agent Experience Platform

Scrunch markets AXP as a way to deliver an optimised experience to AI agents, including token-light pages and AI content delivery. This is a materially different product category from monitoring. Buyers should verify how content is selected, cached, rendered, governed, and reconciled with canonical pages, accessibility, SEO, legal requirements, and analytics. Faster or smaller agent responses do not guarantee citations.

Archived research context ↗

A focused evaluation workflow
  1. Start with one market, product family, and stable prompt panel.
  2. Capture answers, citations, product attributes, model, date, and location.
  3. Compare answer observations with product feeds, PDPs, reviews, and server logs.
  4. Classify findings as answer, source, crawler, traffic, or commerce evidence.
  5. Make one bounded content, feed, or technical change.
  6. Retest the same prompts and compare detectable analytics separately.

03 / Commercial boundaries

Pricing & limits

Terms below reflect the 2026-10-07 source review, not a new live quote. Confirm currency, billing term, tax and required scope with the provider.

Pricing at a glance

The current pricing page lists Core at $250/month, with 125 unique prompts, 5,000 responses/month, five site audits/month, one brand workspace, and five user licenses. Enterprise is quote-led.

Archived research · Research dated 2026-10-01; confirm current termsResearch excerpt · Overview
Core

Price: $250/month · Published limits and features: 125 unique prompts; 5,000 responses/month; 5 site audits/month; 1 workspace; 5 licenses; 4 named LLMs; 1 country/persona/language; 5 competitors; 3 trend topics; 25 site-map pages; 1 page optimization/month

Archived research · Research dated 2026-10-01; confirm current termsResearch excerpt · Pricing and plan limits
Enterprise

Price: Custom · Published limits and features: 9 named LLMs; custom prompts, workspaces, licenses, countries, personas, languages, competitors, audits, and optimizations; API, SSO, advanced features, and dedicated support

Archived research · Research dated 2026-10-01; confirm current termsResearch excerpt · Pricing and plan limits
Free access & trial

Core offers a 7-day free trial with no credit card required; confirm trial conversion, data retention, and whether all listed Core limits apply during the trial.

Archived research · Research dated 2026-10-01; confirm current termsResearch excerpt · Overview

Additional costs & usage boundaries

Core LLM coverage

ChatGPT, Perplexity, Google AI Overviews, and Copilot

Archived research · Research dated 2026-10-01; confirm current termsResearch excerpt · Quick facts
Enterprise coverage

9 LLMs listed, including Claude, Gemini, Meta AI, Google AI Mode, and Grok

Archived research · Research dated 2026-10-01; confirm current termsResearch excerpt · Quick facts

Pricing context & qualifications

The current pricing page checked October 1, 2026 lists Core at $250/month and Enterprise as custom, with a 7-day free trial and no credit card required. Core includes 125 unique prompts, 5,000 responses/month, five site audits/month, one brand workspace, five user licenses, four named LLM surfaces, one country, one persona, one language, five competitors, three AI Search Trends topics, 25 site-map pages, one page optimization/month, and basic content generation. Enterprise uses custom limits and adds expanded model coverage, API access, SSO, advanced features, and dedicated support. Older third-party pages report $300 or other plan structures; preserve those as dated market context, not current official pricing.

PlanPricePublished limits and features
Core$250/month125 unique prompts; 5,000 responses/month; 5 site audits/month; 1 workspace; 5 licenses; 4 named LLMs; 1 country/persona/language; 5 competitors; 3 trend topics; 25 site-map pages; 1 page optimization/month
EnterpriseCustom9 named LLMs; custom prompts, workspaces, licenses, countries, personas, languages, competitors, audits, and optimizations; API, SSO, advanced features, and dedicated support

The current page offers a 7-day Core trial with no credit card required. It does not state every trial condition, data-retention term, overage policy, API quota, Shopping quota, or AXP price. Treat those as open commercial questions rather than assumptions.

04 / The tradeoffs

Strengths & weaknesses

Reasons to shortlist

  • Combines answer monitoring and citation analysis with crawler and site signals.
  • Product-level Shopping positioning is more relevant to ecommerce than brand-only mention tracking.
  • Core’s public $250/month price and detailed limits make the initial commercial scope inspectable.
  • Enterprise page names model coverage, API, integrations, SSO, and dedicated support.
  • Agency positioning and workspaces can fit multi-client reporting.

Reasons to pause

  • Core commercial transparency is better than the earlier snapshot: the current page publishes $250/month and 125 unique prompts, but Enterprise pricing and several expanded limits remain custom.
  • Older public snapshots and reviews use different plan names and prompt counts; treat them as dated context and confirm multi-product, regional, and competitor coverage for the current contract.
  • The current page says evaluation covers four listed LLMs; broader coverage is positioned at nine LLMs.
  • Enterprise pricing makes total cost, seats, API, retention, and limits harder to compare publicly.
  • G2 provides a meaningful review sample, but vendor-managed profile data and the absence of Capterra reviews limit how far it can support claims about current GEO accuracy or business outcomes.

Enterprise pricing, expanded model coverage, API access, and several quotas remain quote-dependent.

05 / Choose by the job

Alternatives to consider

Editorial fit comparisons—not performance rankings or claims that one option always wins.

Another direction / 01

PromptWatch ↗

PromptWatch · Prompt monitoring connected to crawler and AI-referral analytics · Different plan structure and implementation requirements

Another direction / 02

Alhena AI ↗

Alhena AI · Ecommerce SKU-level Shopping visibility and product actions · More limited independent evidence and public coverage detail

Another direction / 03

Peec AI ↗

Peec AI · General AI visibility analytics and competitive monitoring · Less focused on agent delivery and crawler diagnostics

Another direction / 04

Schema App ↗

Schema App · Structured-data governance and source-layer changes · Schema is not answer-level visibility measurement

06 / What we can substantiate

Reviews & evidence

Independent feedback is limited to the archived sources below. No hands-on test or outcome benchmark was performed as part of this layout migration.

AICiteKit assessment: public-source research, not a hands-on product test. Official materials establish stated scope; reviews are dated and may concern the broader platform. Neither establishes guaranteed citations, traffic or revenue.

Sources & original verification dates

SourceEvidence typeChecked
Scrunch product page ↗Official product page
Scrunch pricing ↗Official pricing
G2 Scrunch AI ↗Cited in archived researchSee research context
Capterra Scrunch AI ↗Cited in archived researchSee research context
Profound Scrunch review ↗Cited in archived researchSee research context
Am I Cited Scrunch AI review ↗Independent review; commercial-source bias disclosed
GeoToolbox Scrunch AI review ↗Independent competitor review; direct competitor bias disclosed
Analyze AI Scrunch AI review ↗Independent competitor review; published May 15, 2026
Google common crawlers and fetchers ↗Cited in archived researchSee research context
OpenAI GPTBot documentation ↗Cited in archived researchSee research context
AICiteKit: AI Crawler Analytics ↗Cited in archived researchSee research context

Original review evidence & date context

Preserved from the published research. Dates, review counts and product-scope qualifications below have not been refreshed by this layout migration.

Evidence snapshot

SourcePublic signalWhat it supportsConfidence
Scrunch product pageHomepage positions Scrunch around Agent Experience, Monitoring & Insights, Content Delivery, and AI-ready experiences; checked October 1, 2026Current product positioning and stated workflowHigh for vendor claims
Scrunch pricingCore is $250/month with 125 unique prompts, 5,000 responses/month, 5 site audits/month, 1 workspace, 5 licenses, 4 LLMs, and a 7-day no-card trial; Enterprise lists 9 LLMs and custom limits; checked October 1, 2026Current price, response quota, plan limits, coverage, and commercial boundaryHigh for displayed terms; incomplete for Enterprise
G2 Scrunch AI4.6/5 from 73 reviews; 72% five-star and 24% four-star; visible themes include ease of use (25), insights (23), support (12), competitor analysis (11), plus data limitations (8), pricing issues (4), platform limitations (4), and export issues (3); checked October 1, 2026Directional user feedback on usability, support, and limitationsMedium; live review platform, vendor-managed listing; outcome claims are provider-supplied
Capterra Scrunch AIListing updated September 28, 2026 reports 0 user reviews and a $250 starting-price display; its comparison content identifies the same Core limits but supplies no attributable customer feedbackAbsence of attributable Capterra feedback and marketplace contextMedium-low; referral marketplace
Profound Scrunch reviewHands-on comparison reports unclear prompt volume, weekly rather than daily observations, limited trend data, actionability concerns, and an older $300/month entry priceConcrete workflow caveats and dated market contextLow-medium; direct competitor bias

Recurring positive themes

A reliable independent consensus was not established. The clearest positive signal is product breadth: Scrunch explicitly joins answer visibility, citations, automated-agent traffic, site maps, and Shopping rather than presenting them as one metric.

Recurring concerns and tradeoffs

  • The lack of a substantial independent review sample limits confidence about usability and support.
  • Core’s prompt, engine, seat, and geography limits may be restrictive for agencies or international brands.
  • Enterprise-only API, expanded model coverage, and SSO make larger deployments quote-dependent.
  • The product spans technically different evidence layers, so teams need a clear reporting taxonomy.

How much should buyers trust the evidence?

Trust the official pages for the displayed price, limits, and positioning, while recognising that they describe vendor capabilities. Treat the absence of independent reviews as meaningful uncertainty. Treat customer outcomes on the homepage as vendor-selected evidence. No public evidence found in this pass proves that Scrunch increases citations, traffic, or revenue causally.

AICiteKit interpretation

Scrunch appears most differentiated when a team needs to connect sampled AI answers with first-party crawler and product data. The evidence is currently stronger for the proposed measurement workflow than for independent satisfaction or business outcomes.

What to verify during a trial

  1. Can the account export complete answers, cited URLs, timestamps, models, countries, and product identifiers?
  2. Do the four Core surfaces match the team’s real customer journeys and Shopping use cases?
  3. How are AI crawlers verified, classified, deduplicated, and separated from spoofed user agents?
  4. Can Agent Traffic be reconciled with raw CDN, hosting, or server logs?
  5. Are recommendations linked to a specific missing or inaccurate page or product fact?
  6. What are the limits for history, API, exports, retention, seats, overages, and Shopping observations?
  7. Does AXP preserve canonical content, analytics, accessibility, caching, and governance requirements?

Review evidence sources

  • Scrunch — current product scope and vendor-selected customer evidence; checked October 1, 2026.
  • Scrunch pricing — current Core price, 5,000-response quota, limits, trial, model coverage, and Enterprise positioning; checked October 1, 2026.
  • G2 Scrunch AI — live 4.6/5 rating from 73 reviews, star distribution, and pros/cons theme counts; checked October 1, 2026. G2’s product profile and pricing are vendor-managed signals.
  • Capterra Scrunch AI — listing updated September 28, 2026 with zero attributable user reviews; useful as an evidence boundary, not a rating.
  • Profound Scrunch review — competitor-authored hands-on review published November 15, 2025; useful for concrete workflow caveats and dated pricing context, lower confidence because of direct competitive bias.

Last reviewed: October 1, 2026

Data confidence: Medium. Official product and pricing claims are directly checkable, but independent feedback and third-party validation of current GEO, crawler, Shopping, and AXP outcomes are limited.

Verification date: October 1, 2026

Research notes & unresolved discrepancies
  • This page reorganizes previously published research. It is not a fresh price check or a hands-on test. Refer to source-specific dates and qualifications in the research context below.

Layout migration: October 4, 2026. The original MDX research is retained in the repository; this reorganization does not refresh its factual verification dates.