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Atlas/Scrunch AI
Vendor dossier / SEO / AEO

Scrunch AI

AI search visibility and customer-experience platform for how brands appear to answer engines.

REVIEWED 23 SEPTEMBER 2026Marketing / CXNO HANDS-ON BENCHMARK

What it is

Official-source notesSEO / AEOscaling

Scrunch Starter lists 350 custom prompts, three personas and five page audits. Its offering connects AI search monitoring with an Agent Experience Platform for AI-oriented site experiences. [V1] [V2]

Documented means the statement is present in the cited material. Capability effectiveness, customer outcomes and security assurances have not been independently audited here.

Promoted use cases

  • Monitor prompts, citations and personas
  • Audit brand content for AI discovery
  • Improve experiences for AI visitors

AI-search tools observe a shifting answer environment. A mention, citation, ranking and customer conversion are different events. The useful comparison separates measurement coverage, diagnosis, content production and the ability to implement an approved change. An AEO dashboard is not a complete growth team, but it may supply essential evidence to one.

Pricing and buying model

Published commercial evidence

$250 / month

Core monthly on the current official pricing surface: 125 unique prompts, five audits, one brand workspace and five users. Enterprise custom; older indexed tier tables differ.

Check current commercial source ↗

Budget for implementation, model and tool usage, data, human review and ongoing support. Credit units and outcome definitions differ between vendors. A missing numeric rate is marked unverified rather than replaced with an old third-party estimate.

Collaboration and governance

Enterprise SAML/OIDC and API options are listed. Assess what content is served, to whom and with what approval history.

The relevant unit of control is permission to publish a change to website content. Inspect who can propose, approve, execute, interrupt and audit that action. Shared seats, shared content and a shared live agent session are different capabilities; require a demonstration of the one your process needs.

Evaluate memory correction, permission revocation and release control for updated instructions. An improvement loop should preserve the original evidence, proposed change, test results and named approver. A safety or security badge alone cannot establish those workflow properties.

Review and customer evidence

No independent review sample was verified in this research pass. Vendor-hosted testimonials are selection-biased customer evidence, not an aggregate rating.

Before relying on a testimonial, confirm the exact product, version, package, workload and baseline. Ask a relevant customer about setup effort, failed cases, ongoing manual work and support after launch. This dossier does not convert customer logos or vendor-hosted awards into independent proof.

Focused feature documentation

Focused documentation check · Sep 2026

Monitoring versus the Agent Experience Platform

Scrunch describes monitoring of how a brand appears in AI answers and a separate Agent Experience Platform (AXP) that delivers an AI-oriented site experience to visiting agents. Its help center says AXP creates a parallel site representation while preserving the human-facing experience. That is a different intervention from editing ordinary web pages; evaluate content parity, attribution and how crawler or search-engine policies apply to the buyer’s implementation.

A current official pricing surface at origin.scrunchai.com lists Core at $250 per month with 125 unique prompts, five monthly site audits, one brand workspace and five users. It puts AXP, expanded model coverage, API and SSO in Enterprise with custom pricing. Other indexed Scrunch pages carry older Starter/Growth/Pro figures, so this atlas treats the current Core page as the checked offer and flags the purchase page for reconfirmation.

Primary sources: Current official Core/Enterprise pricing surface ↗ · Official AXP help article ↗

Published documentation and public illustrations; account behaviour was not independently tested.

Visual source

Public Scrunch AI source page captured 22 September 2026
Scrunch AI · Public page captured 22 Sept 2026. Vendor presentation, not an authenticated product test. Open source ↗

Fit, limitations and proof requests

Editorial assessment

Scrunch extends beyond dashboards into the website experience. That is useful to evaluate separately from a platform coordinating humans and agents across the full funnel.

Priority question: Can we inspect the exact content served to AI visitors and compare it with the human page for accuracy?

The evaluation owner should be the organic growth or content lead. Use qualified discovery and accepted editorial improvements as the business target. Judge the solution in its own stack role: a cloud runtime, a specialist production tool and a managed AI team can be complementary purchases.

Use-case evaluation plan

Visibility diagnosis with repeatable sampling

Define a buyer-question set before the pilot, segment it by intent and geography, and repeat observations across the engines in scope. Record mentions, citations and answer quality separately. Add neutral and competitor-oriented questions so the exercise does not reward a tool merely for tracking prompts already favorable to the brand.

Measure: coverage, answer variability, citation accuracy and useful diagnostic findings.

Evidence to an approved content change

Choose one material gap and ask the system to explain its source evidence. Request a proposed page revision with factual references, an editorial review and a publication boundary. A marketer should be able to reject the recommendation while preserving the underlying measurement and reasoning.

Measure: accepted recommendations, factual corrections and publishing effort.

Discovery to commercial contribution

Track meaningful website visits and qualified conversions where attribution is technically available, while acknowledging unobservable journeys. Compare the changed pages with similar unchanged pages and note concurrent campaigns. Do not call a short-term visibility movement a causal revenue result without evidence.

Measure: qualified visits, conversions, editorial cost and stability of observed improvement.

Detailed comparison

Read the detailed Nagent vs Scrunch AI guide for operating models, shared context, governance, cost, evidence gaps and a staged pilot.

Nagent vs Scrunch AI

Sources and evidence register

Nagent · Multiplayer AI for growth teamsResearch: 21–29 September 2026 · Public-source analysis, no hands-on benchmark · Sources & method