Answer Capsule
Scrunch is a good fit for AI Content Optimization Partners for Strategy and Measurement, with one platform rating it strong, four rating it good, and one rating it uncertain. Two of the six platforms named Scrunch during the ranking stage, at an average listed rank of 7.0 and a best rank of 4. Its strongest reason to consider it is measurement depth: prompt-level visibility, citation and source tracking, competitor benchmarking, site audits, and agency workspaces across multiple generative-answer platforms [1]. The main limitation is that Scrunch diagnoses and delivers rather than executes: it does not generate or publish content, AXP availability is disputed, and enterprise pricing and contract terms are not public [4].
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 2 of 6 included platforms (google, openai) |
| Share of included platform responses | 33.3% |
| Average listed rank | 7.0 |
| Best listed rank | 4 |
| Relevant product/model/plan | Scrunch Core for evaluation; Agency Core or Agency Enterprise for multi-client work; Enterprise with AXP for scaled programs |
| Overall use-case fit | Good, with one strong rating, four good ratings, and one uncertain rating |
| Research date | 2026-09-19 |
Why Scrunch Qualified for This Study
Questions This Section Answers
- Is Scrunch a good choice for AI Content Optimization Partners for Strategy and Measurement?
- Why did only two of six AI platforms name Scrunch during the ranking stage?
Scrunch qualified because it is a purpose-built platform for measuring and improving brand visibility inside generative-answer surfaces, which is the core of this use case. It monitors brand mentions, citations, sentiment, and share of voice across major LLMs, and it publishes agency-specific packaging for multi-client delivery [7].
The ranking-stage evidence is thinner than the fit-stage evidence. Only two of the six included platforms named Scrunch while building their ranked lists, giving it a 33.3% mention share, an average listed rank of 7.0, and a best listed rank of 4 (google ranked it 10th, openai ranked it 4th). All six platforms then evaluated Scrunch for fit, and five of six concluded it was a good or strong fit.
One platform, kimi, could not verify Scrunch as an AI-search vendor at all. It reported that scrunch.com described an influencer marketing platform and found no public GEO/AEO service documentation, rating the fit uncertain [10]. That conflict is material and is treated as a disagreement in this review, not as a settled fact. Google's research partially explains the confusion: Scrunch was founded in 2015 as a data-driven influencer marketing platform and emerged from stealth with an AI search visibility product in 2024 [11].
The Product, Model, Plan, or Service Most Relevant to AI Content Optimization Partners for Strategy and Measurement
Questions This Section Answers
- Which Scrunch plan should a buyer choose for AI Content Optimization Partners for Strategy and Measurement?
- Is Scrunch Core enough for an agency managing multiple client brands, or is Agency Core required?
The most relevant entry point is Scrunch Core for evaluation, Agency Core for multi-client programs, and Enterprise or Agency Enterprise where AXP, broader model coverage, API access, and governance are required [13].
Core is the published self-serve brand tier at $250 per month, with 125 unique prompts, five site audits per month, one brand workspace, five user licenses, and four supported models [13]. Agency Core is listed at $500 per month and is positioned for agencies managing AI search visibility across multiple client brands [15]. Enterprise and Agency Enterprise use custom pricing and add expanded model coverage, custom prompt volume, API and integrations, SSO options, and dedicated account support [13].
The product set spans AI visibility monitoring, website auditing, content optimization, and content delivery, including the Agent Experience Platform [21]. Scrunch describes AXP as an AI-optimized layer served to AI agents over existing pages without changing the live CMS, and it explicitly states AXP does not publish new content [23]. For a buyer whose use case includes optimizing existing content and building an ongoing GEO strategy, that distinction matters: AXP changes how existing pages are delivered to machines, not what the pages say.
What the AI Platforms Agreed About
Questions This Section Answers
- What does Scrunch do best for AI search visibility measurement?
- Does Scrunch track citations and competitor visibility across ChatGPT, Gemini, and Perplexity?
The platforms agreed, in most cases unanimously, on four capabilities: prompt and visibility measurement, citation and source tracking, competitor and share-of-voice analysis, and agency-oriented multi-client workflows.
On measurement, openai found that both Core and Enterprise include prompt management, reporting dashboards, funnel stages, competitor tracking, citations and sources, and AI-search trend tracking, with Enterprise adding custom countries, personas, languages, competitors, and trends [24]. Grok reported the same structure: brand mentions, citations, sentiment, and share of voice across four LLMs on Core and nine on Enterprise, filterable by persona, country, and funnel stage [25]. Anthropic described persona-based prompt tracking and an AI Search Trends feature showing activity by topic and competitive presence [26].
On citations, anthropic reported that Scrunch tracks which sources are cited in AI-generated answers and connects citation data to technical audits that diagnose rendering and indexing barriers [28]. Google reported that the Responses API and dashboards show where a brand is cited and which specific URLs LLMs reference [30]. Perplexity summarized the positioning as monitoring visibility, performance, and citations across major LLMs [32].
On competitor and gap analysis, anthropic reported automated monitoring, citation analysis, and gap detection for competitor visibility [33], and Capterra-derived evidence describes competitive positioning, share of voice, content-gap identification, and journey mapping [28]. Google described site diagnostics that check how easily AI crawlers reach and render content, mapping first- and third-party content gaps [34].
On agency delivery, openai reported multi-client workspaces, prospecting environments, API-first delivery, white-label outputs, access controls, and dedicated support [35]. Anthropic and an independent trade outlet both describe a dedicated agency offering with white-label reporting [36].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Is Scrunch's AXP generally available, or is it still in limited pilot?
- How often does Scrunch refresh its AI visibility data?
The sharpest disagreement concerns AXP availability. Anthropic reported that AXP remains in limited pilot testing and is not available to most customers, and cited a review stating that Scrunch's marketing heavily features AXP despite it not being available, advising buyers to base decisions on live features rather than AXP promises [38]. Google, by contrast, described AXP as a current enterprise capability that serves optimized HTML to AI crawlers at the CDN layer [41]. OpenAI reported a third position: that Scrunch's official AXP blog says AXP-related capabilities are available to all customers, while the pricing matrix lists AXP as unavailable on Core and custom on Enterprise, leaving the entitlement unclear [43]. Buyers should treat AXP availability as unverified and confirm it in writing.
Data refresh cadence is also unresolved. One independent review reported that Scrunch does not publicly state its update frequency and that first-hand testing suggested weekly rather than daily refreshes [45]. No platform supplied a vendor-confirmed refresh schedule.
Platform coverage conflicts. Core is consistently described as four models, but sources name different combinations. Anthropic reported Core as ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot, while also flagging that multiple reviews criticize the absence of Google AI Mode and Copilot [46]. Google reported Core as ChatGPT, Perplexity, Google AI Overviews, and Copilot, with Enterprise expanding to nine LLMs including Claude, Gemini, Meta AI, Google AI Mode, and Grok [48]. OpenAI listed Enterprise coverage as ChatGPT, Claude, Perplexity, Gemini, Meta AI, Google AI Mode, Google AI Overviews, Copilot, and Grok [43].
Prompt limits conflict. Core is cited as 125 unique prompts in most sources, but one review reported $300 per month for 350 custom prompts and three personas [38]. This may reflect a different tier or a later update; it is unresolved in the supplied evidence.
Kimi's finding is the largest single disagreement. It reported that no public sources verified Scrunch as a GEO/AEO provider and that the website described influencer marketing, rating the fit uncertain [50]. Google's research indicates the influencer-marketing history is real but predates a 2024 pivot into AI search visibility [51]. The official pricing page excerpt retrieved during this study contained unrelated "Tyrell Nexus" pricing content, which is consistent with grok's note that website content appeared partially replaced [53]. Buyers should verify they are contracting with the AI-search product, not a legacy or unrelated offering.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Can Scrunch identify commercially important prompts and map citation architecture for a large content program?
- Does Scrunch optimize existing content, or only measure it?
Scrunch covers most of this use case's measurement requirements and only part of its execution requirements.
| Use-case requirement | Scrunch coverage | Evidence |
|---|---|---|
| Identify commercially important prompts | Supported: prompt management, AI Search Trends, persona-based prompt generation | |
| Measure recommendation and citation visibility | Supported: mentions, citations, sentiment, share of voice, funnel-stage filters | |
| Analyze competitors and source patterns | Supported: competitor tracking, share of voice, citation and source analysis | |
| Map citation architecture | Partial: citation and source tracking plus technical audits; depth of citation-graph analysis not documented | |
| Determine first-party vs. third-party content gaps | Partial: audits and gap detection; public docs do not clearly separate first-party from third-party authority gaps | |
| Optimize existing content | Partial: page optimizations and Optimizer recommendations; no built-in content generation, schema optimization, or SEO audit | |
| Build ongoing GEO content strategy | Partial: reporting, trends, and recommendations; human strategy and editorial services not clearly documented |
The Optimizer feature analyzes pages to understand intent, lets users choose personas to target, suggests which prompts to optimize for, and recommends other pages [54]. Independent reviews describe the platform as monitoring and diagnosis rather than execution: one review states Scrunch is purely a monitoring tool without an integrated content-creation workflow, and another reports no built-in content suggestions, schema optimization, or SEO audit capabilities [55]. Google reached the same conclusion, noting Scrunch flags optimization opportunities but relies on external systems for content production [57].
Enterprise governance is a documented strength. Scrunch states it meets enterprise requirements including SOC 2 Type II, SSO, RBAC, and audit logs [59], and an independent review lists SSO with SAML/OIDC, a dedicated account team, onboarding support, and strategy or review calls on Enterprise [60].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Scrunch cost per month, and is there a free trial?
- What are Scrunch's contract, cancellation, and overage terms for Core and Enterprise?
Published pricing is transparent at the entry tier and opaque above it. Core is $250 per month with 125 prompts, five monthly site audits, one brand workspace, five user licenses, and four models; Agency Core is $500 per month; Enterprise and Agency Enterprise are custom [61]. One review reported a $300 per month monthly-billing rate versus $250 on annual billing, and another reported $300 per month for 350 custom prompts and three personas [64]. A seven-day free trial of Core is described in Scrunch's pricing materials [66].
Additional fees are not fully specified. Grok reported additional seats at $25 per month each or in packs, with no published overages or add-ons [67]. OpenAI reported that custom enterprise pricing may vary with prompt volume, brands and workspaces, model coverage, API use, support, AXP, and implementation requirements, and that potential implementation, CDN, integration, or professional-services costs for AXP and enterprise deployment are not publicly specified [61].
Contract terms are the weakest documented area. OpenAI reported that annual pricing is referenced in the FAQ but that public materials do not state whether annual commitment is required, the cancellation notice period, refund policy, renewal terms, or overage treatment [61]. Perplexity reported that annual billing is advertised for lower tiers while enterprise terms are negotiated and not publicly specified [68]. Grok reported month-to-month availability on Core and Agency Core, with Enterprise likely annual and cancellation details unclear [67]. Anthropic reported annual contracts with implied lock-in and no documented cancellation penalties or notice periods [70]. The official terms page excerpt states that Scrunch AI's total liability is capped at the greater of amounts paid in the prior 12 months or $1,000, that disputes are governed by Utah law, and that Scrunch may publish customer names and logos in marketing materials (official:C3).
Best Suited For
Questions This Section Answers
- Who gets the most value from Scrunch for AI visibility strategy and measurement?
Scrunch is best suited to buyers who already have execution capacity and need better measurement. Anthropic's assessment is direct: a team with engineers, writers, and operations capacity to act on insights quickly will get good value at $300 to $1,000 per month, while a team without that bench will spend most of the subscription watching a dashboard light up and a backlog grow [71]. A separate review frames the decision the same way: the right question is whether the team has the budget, technical SEO expertise, and execution capacity to turn Scrunch's data into better AI visibility [73].
The strongest-fit profiles across platforms are:
- Agencies managing multiple client brands, using multi-client workspaces, prospecting environments, white-label outputs, and API-first delivery [74].
- Enterprise teams measuring visibility across major generative-answer platforms and connecting findings to site and content optimization [76].
- Buyers that value API access, custom prompt coverage, expanded model coverage, governance, and dedicated support [76].
- Teams prioritizing citation intelligence, competitor benchmarking, and prompt-level tracking across ChatGPT, Gemini, Perplexity, and Claude [79].
- Organizations with technical ownership of their web stack that could implement AXP edge delivery if and when it becomes generally available [81].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Scrunch for AI Content Optimization Partners for Strategy and Measurement?
Scrunch is a weaker fit for buyers who need execution, speed, or fully published commercial terms.
- Content-only teams without technical execution capacity. Multiple sources describe Scrunch as a monitoring and diagnosis platform rather than an optimization execution platform, and one review states that pure content teams struggle to translate monitoring into action [83].
- Buyers requiring daily or real-time refresh. One independent review reported weekly rather than daily data refresh based on first-hand testing [86].
- Buyers needing broad model coverage at a low fixed price. Core covers four models with 125 prompts, five audits, one workspace, and five users; Claude, Gemini, Meta AI, Grok, AXP, and expanded engine coverage sit behind Enterprise custom pricing [87].
- Buyers who need Google AI Mode or Copilot coverage on Core. One review reports Core excludes both, calling them two of the fastest-growing AI search surfaces [89].
- Buyers seeking independently validated outcomes. Published improvement figures, including a 364% increase in brand presence for non-branded prompts and agency-reported gains, are platform-published claims without independent validation of attribution or repeatability [87].
- Buyers who need fully managed content strategy, editorial production, or guaranteed recommendation outcomes [87].
- Buyers who require published enterprise pricing and contract terms before a sales conversation [92].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Scrunch for a buyer who needs automated content production?
- When should a buyer choose a consulting-led GEO provider instead of Scrunch?
Choose a different option when the requirement falls outside Scrunch's documented scope.
- Automated, high-volume GEO content creation and CMS publishing. Google's comparison found Scrunch lacks comprehensive content production workflows relative to tools built around writing and publishing [94]. Kimi named Profound as a tools-only measurement layer with content optimization agents [96].
- Fixed-price audits or published retainers. Kimi reported Clear Cited publishes pricing from $500 audits to $2,950 per month retainers with share-of-model measurement across five or more engines and reproducible sampling with 95% confidence intervals, and OmniSEO publishes monthly retainers from $3,000 to $7,500 across a 10-LLM baseline audit [97].
- Senior-only boutique execution with advisory. Kimi reported Novel Cognition offers a fixed-fee AI Brand Audit at $5,000, an AIO Buildout at $25,000 or more, and a fractional CAIO retainer at $10,000 per month [99].
- B2B programs with pilot-before-commitment structures. Kimi reported Cite Solutions defines five pricing models from $200 per month tools to $50,000-plus per month enterprise programs [100].
- Full-stack SEO plus AEO with technical and schema work. Kimi reported Enleaf bundles PR, entity work, content rebuild, original research, and digital PR at enterprise investment levels [101].
- Lower-cost multi-platform monitoring. Anthropic reported that AmICited and Peec offer similar monitoring at lower price points with less feature gating [102].
These alternatives are described from their own or third-party published materials and were not independently benchmarked against Scrunch in this study.
Questions to Verify Before Buying
The platforms converged on a similar verification list. Buyers should confirm:
- Which exact AXP features are included in Agency Core, Agency Enterprise, and brand Enterprise, whether CDN or technical implementation assistance is included, and whether AXP is generally available or still in pilot [104].
- Exact Agency Core limits for prompts, client workspaces, pitch workspaces, audits, users, countries, languages, personas, and competitors [104].
- How prompts are counted, refreshed, localized, and charged when limits are exceeded [104].
- Which answer surfaces, geographic variants, languages, and response types are included in the quoted Enterprise package [104].
- How Scrunch defines and calculates visibility, recommendation presence, citation share, sentiment, and competitive share of voice [104].
- Whether raw responses, citations, source URLs, prompt histories, and longitudinal data can be exported through the API, and whether API access is Core or Enterprise only [104].
- Whether the platform distinguishes brand-owned citations from third-party citations and identifies actionable third-party authority gaps [104].
- What human strategy, review-call, onboarding, content-brief, or editorial services are included versus separately charged [104].
- Contract length, renewal, cancellation, refund, overage, service-level, data-retention, and security terms, including the liability cap and marketing-use clause in the terms of use [104].
- What independent or customer-verifiable evidence supports reported visibility and engagement improvements [104].
- How CMS changes synchronize with AXP-optimized page versions and what happens when content is removed or materially changed [114].
- Whether the Sitecore acquisition changes pricing, feature availability, or the standalone product roadmap for existing customers [115].
Final AI Consensus Verdict
Scrunch is a good fit for AI Content Optimization Partners for Strategy and Measurement, with meaningful caveats. One platform rated the fit strong, four rated it good, and one rated it uncertain. The consensus case is measurement: prompt-level visibility, citation and source tracking, competitor benchmarking, site audits, and agency-grade multi-client workflows across major generative-answer platforms [117].
The consensus caveats are equally consistent. Scrunch diagnoses and delivers rather than executes, with no built-in content generation, schema optimization, or SEO audit [121]. AXP availability is disputed across platforms and should not drive a purchase decision [123]. Data refresh may be weekly rather than daily [126]. Core omits Google AI Mode and Copilot according to one review [127]. Enterprise pricing and contract terms are not public [128]. Kimi could not verify Scrunch as a GEO/AEO provider at all and rated the fit uncertain [130].
For buyers with technical execution capacity, a multi-brand or enterprise footprint, and a need for citation and prompt intelligence, Scrunch is a defensible choice at the Core or Agency Core tier for evaluation. For buyers who need end-to-end content production, daily data, published enterprise terms, or independently validated outcomes, another option or a coordinated combination is likely better. This review is part of the broader AI Content Optimization Partners for Strategy and Measurement consensus study, and additional vendor evaluations sit in the ai seo content optimization directory.
How This Review Was Produced
This review was produced on 2026-09-19 from six platform research responses covering Scrunch for the AI Content Optimization Partners for Strategy and Measurement use case. Each platform independently researched Scrunch, reported fit ratings, strengths, limitations, pricing, and verification questions, and supplied citations. Two of the six platforms named Scrunch during the ranking stage; all six evaluated fit. Platform-reported dates are provenance metadata and do not independently prove freshness. Citations are platform-reported evidence, not independently verified facts. The supplied URLs were collected from platform responses and were not independently validated by the writer stage. No personal testing, customer interviews, or independent benchmarking was performed for this review.
Methodology Limitations
- Only two of six platforms named Scrunch during ranking discovery, so the ranking statistics rest on a small sample.
- One platform could not verify Scrunch as an AI-search vendor and rated the fit uncertain, a conflict this review preserves rather than resolves [131].
- AXP availability, entitlement by plan, and general-availability timeline are disputed across platforms and unconfirmed by the vendor in the supplied evidence [132].
- Data refresh frequency is not vendor-confirmed; the weekly cadence comes from one independent review's first-hand testing [135].
- Core prompt limits conflict across sources, with 125 prompts in most and 350 prompts in one [132].
- Enterprise pricing, contract length, cancellation, refund, overage, and service-level terms are not publicly specified [136].
- Published outcome figures are vendor or customer testimonials rather than independently audited results [136].
- The official pricing page excerpt retrieved during this study contained unrelated third-party content, and one platform reported that website content appeared partially replaced, so official-page excerpts should be treated cautiously [139].
- The Sitecore acquisition of Scrunch in June 2026 introduces roadmap and packaging uncertainty that no platform could resolve [140].
Sources
Company-Owned Sources
- B2B AI Visibility Services | Cite Solutions: https://cite.solutions/b2b-ai-visibility-services
- AI Search Optimization Service — Clear Cited: https://clearcited.com/ai-search-optimization/
- How Clear Cited Works — full-stack AEO + SEO: https://clearcited.com/how-it-works/
- AI Search Optimization Services | Enleaf Multi-Platform Visibility: https://enleaf.com/services/ai-search-optimization/
- AI Optimization Consulting Services | Novel Cognition: https://novcog.us.com/services
- Professional AI Optimization Services | OmniSEO: https://omniseo.com/services/
- Monitor and improve your brand’s visibility in AI search: https://scrunch.com/
- AEO Compare - Scrunch: https://scrunch.com/aeo-tools/scrunch/
- AI search optimization for agencies: https://scrunch.com/agencies/
- The 4 best answer engine optimization (AEO)/generative engine optimization (GEO) platforms for enterprise companies in 2026: https://scrunch.com/blog/best-answer-engine-optimization-aeo-generative-engine-optimization-geo-enterprise-platforms-2026
- The 7 best answer engine optimization (AEO)/generative engine optimization (GEO) tools for 2026: https://scrunch.com/blog/best-answer-engine-optimization-aeo-generative-engine-optimization-geo-tools-2026
- Scrunch | FAQs: https://scrunch.com/faqs/
- FAQs - Pricing - Scrunch: https://scrunch.com/faqs/category/pricing/
- How do agencies monetize Scrunch?: https://scrunch.com/faqs/how-do-agencies-monetize-scrunch
- How does Scrunch’s AXP approach compare to publishing AI-friendly content directly in the CMS?: https://scrunch.com/faqs/how-does-scrunchs-axp-approach-compare-to-publishing-ai-friendly-content-directly-in-the-cms
- What is Scrunch’s Agent Experience Platform (AXP) and how does it work?: https://scrunch.com/faqs/what-is-scrunch-agent-experience-platform-axp-and-how-does-it-work/
- What is the pricing for Scrunch plans?: https://scrunch.com/faqs/what-is-the-pricing-for-scrunch-plans
- What products does Scrunch offer for AI search optimization?: https://scrunch.com/faqs/what-products-does-scrunch-offer-for-ai-search-optimization
- Scrunch | AEO/GEO core concepts: https://scrunch.com/guides/ai-search-guide/aeo-geo-core-concepts/
- Scrunch Pricing: https://scrunch.com/pricing/
- The 4 best AEO/GEO platforms for enterprise companies in 2026: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFp-LSur_ItZaVCrPTRvKMyAO5EPAc0CpllEJ4HH94fXkP9pOHIYMPg-OcDg9DCNyF9NXD9UYjQqdveq461D2hTsjnDtiSWd_2zq6ZK_md-5Q69GXL1Rg0K5QUHCOQuRMMVqFJFKZBobcNaktqKBif8Kw1Z4wFo3jhbAOelHGPsv1vBFvpPXFggYcjbXRkuiSK2UVqbN9yGMrJXCxQRN3h3LZt7sjUDQWUD1Jd3VlIcdEoOup8=
- AI Powered Content Optimization | Profound: https://www.tryprofound.com/features/agents/content-optimization
- Official pricing and terms source: https://scrunch.com/terms/
Additional AI research evidence142 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:2-4
- AI research evidence record grok:1
- AI research evidence record anthropic:6-4
- AI research evidence record anthropic:6-14
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c5
- AI research evidence record openai:c4
- AI research evidence record anthropic:5-2
- AI research evidence record kimi:web_search_unverified_2026
- AI research evidence record google:1.2.3
- AI research evidence record google:1.3.5
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:20-1
- AI research evidence record google:1.1.3
- AI research evidence record anthropic:5-2
- AI research evidence record openai:c2
- AI research evidence record anthropic:5-9
- AI research evidence record openai:c11
- AI research evidence record perplexity:c14
- AI research evidence record openai:c9
- AI research evidence record openai:c1
- AI research evidence record grok:1
- AI research evidence record anthropic:1-16
- AI research evidence record anthropic:19-7
- AI research evidence record anthropic:2-4
- AI research evidence record anthropic:20-1
- AI research evidence record google:1.1.1
- AI research evidence record google:1.3.5
- AI research evidence record perplexity:c5
- AI research evidence record anthropic:19-1
- AI research evidence record google:1.3.4
- AI research evidence record openai:c4
- AI research evidence record anthropic:16-4
- AI research evidence record anthropic:5-2
- AI research evidence record anthropic:3-2
- AI research evidence record anthropic:6-14
- AI research evidence record anthropic:6-15
- AI research evidence record google:1.1.2
- AI research evidence record google:1.3.2
- AI research evidence record openai:c1
- AI research evidence record openai:c9
- AI research evidence record anthropic:6-6
- AI research evidence record anthropic:20-1
- AI research evidence record anthropic:6-8
- AI research evidence record google:1.1.1
- AI research evidence record google:1.1.3
- AI research evidence record kimi:web_search_unverified_2026
- AI research evidence record google:1.2.3
- AI research evidence record google:1.3.5
- AI research evidence record grok:8
- AI research evidence record anthropic:14-2
- AI research evidence record anthropic:1-15
- AI research evidence record anthropic:6-4
- AI research evidence record google:1.1.5
- AI research evidence record google:1.3.3
- AI research evidence record anthropic:12-11
- AI research evidence record anthropic:5-9
- AI research evidence record openai:c1
- AI research evidence record anthropic:5-1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:3-2
- AI research evidence record anthropic:7-1
- AI research evidence record openai:c2
- AI research evidence record grok:8
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:5-9
- AI research evidence record anthropic:7-1
- AI research evidence record anthropic:7-2
- AI research evidence record anthropic:27-5
- AI research evidence record openai:c4
- AI research evidence record anthropic:5-2
- AI research evidence record openai:c1
- AI research evidence record google:1.3.2
- AI research evidence record anthropic:5-9
- AI research evidence record anthropic:2-4
- AI research evidence record anthropic:20-1
- AI research evidence record anthropic:23-6
- AI research evidence record anthropic:23-7
- AI research evidence record anthropic:1-15
- AI research evidence record anthropic:6-4
- AI research evidence record anthropic:23-7
- AI research evidence record anthropic:6-6
- AI research evidence record openai:c1
- AI research evidence record anthropic:26-10
- AI research evidence record anthropic:6-8
- AI research evidence record openai:c4
- AI research evidence record anthropic:16-1
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:5-9
- AI research evidence record google:1.1.5
- AI research evidence record google:1.3.3
- AI research evidence record kimi:profound_content
- AI research evidence record kimi:clearcited_methodology
- AI research evidence record kimi:omniseo_services
- AI research evidence record kimi:novcog_services
- AI research evidence record kimi:cite_solutions_b2b
- AI research evidence record kimi:enleaf_aisearch
- AI research evidence record anthropic:6-8
- AI research evidence record anthropic:6-10
- AI research evidence record openai:c1
- AI research evidence record anthropic:3-2
- AI research evidence record anthropic:6-14
- AI research evidence record anthropic:5-1
- AI research evidence record grok:8
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c5
- AI research evidence record anthropic:20-1
- AI research evidence record anthropic:5-9
- AI research evidence record anthropic:16-1
- AI research evidence record openai:c9
- AI research evidence record anthropic:28-12
- AI research evidence record anthropic:35-8
- AI research evidence record openai:c1
- AI research evidence record anthropic:2-4
- AI research evidence record grok:1
- AI research evidence record google:1.1.1
- AI research evidence record anthropic:6-4
- AI research evidence record anthropic:1-15
- AI research evidence record anthropic:6-14
- AI research evidence record google:1.1.2
- AI research evidence record openai:c9
- AI research evidence record anthropic:6-6
- AI research evidence record anthropic:6-8
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:5-9
- AI research evidence record kimi:web_search_unverified_2026
- AI research evidence record kimi:web_search_unverified_2026
- AI research evidence record anthropic:3-2
- AI research evidence record google:1.1.2
- AI research evidence record openai:c9
- AI research evidence record anthropic:6-6
- AI research evidence record openai:c1
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:16-1
- AI research evidence record grok:8
- AI research evidence record anthropic:28-12
- AI research evidence record anthropic:28-14
- AI research evidence record anthropic:35-8
Independent Sources
- 'Crunch Time' for AI Visibility: Sitecore's Acquisition of Scrunch Gives Brands an Edge Beyond AEO: https://cmscritic.com/crunch-time-for-ai-visibility-sitecores-acquisition-of-scrunch-gives-brands-an-edge-beyond-aeo
- Scrunch AI Review 2026: Pricing, Features & Honest Verdict: https://crawlraven.com/blog/scrunch-ai-review
- Scrunch Review 2026: Pricing, and the Sitecore Acquisition: https://echowi.ai/blog/scrunch-review/
- Scrunch AI: The Agent Experience Platform, Explained: https://everything-pr.com/scrunch-ai-agent-experience-platform-decibel-mayfield-homebrew-geo-profile
- Scrunch AI Review 2026: Pricing & Crawler Analytics: https://geoptie.com/blog/scrunch-ai-review
- Scrunch AI Review (2026): Features, Pricing & Alternatives: https://geotoolbox.ai/blog/scrunch-ai-review
- Scrunch AI Review: Features, Pricing, Pros, and Cons: https://indexly.ai/blog/scrunch-ai-review/
- What tool can track citations in AI answers across ChatGPT, Perplexity, and Gemini?: https://paylinedata.com/blog/citation-tracking-in-ai-answers
- Scrunch AI Review: Is it Worth the Investment?: https://radarkit.ai/blog/scrunch-ai-review/
- What Scrunch AI Reveals About Generative Engine Optimization: https://revenuezen.com/scrunch-ai-generative-engine-optimization/
- Scrunch AI Review: Features Pricing and Alternative: https://surferseo.com/blog/scrunch-review/
- Scrunch AI Pricing 2026: $250/mo Core, Custom Enterprise: https://thatmarketingbuddy.com/pricing/scrunch
- Scrunch Review: Features & Pricing + Best Alternative: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEIgVaZ7UNGbj22SL6A0awRrZBSUw0ses0XOgop_P2wRAHcGgTgx60V0pmfym9TaBTxuV3DVBefDREVudW0-lGK_krq0bz7sZxlDTZZfw8SxAYlsCbe3BN0vbiZ
- Which monitoring tool offers better pricing and value for money?: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQG-xLzyYUos4S71F5RHbUKDz4u9WU6jp6t5Y7iHV_-kEG6vCn5rHiZoF_PBqHg-jsSDnpnijvFMSPRaExGztIDuvvuGibhRJij5T_wRhMLdzPb2s85Fjk8A7U5gJtjq9KMNbbKkmxnb2XD7ehkgmLo2RXMxHZq1-fQi
- Scrunch review for AEO: https://www.aeo-rankings.com/tools/scrunch/
- Scrunch AI SEO tool profile: Index score 76/100: https://www.ai-seo-tools.org/tools/scrunch/
- Scrunch AI Review 2026: Pricing Tiers, Features, and What: https://www.amicited.com/reviews/scrunch-ai-review/
- Scrunch AI Software Pricing, Alternatives & More 2026 | Capterra: https://www.capterra.com/p/10030499/Scrunch-AI/
- Sitecore Acquires Scrunch to Boost AI Search Visibility: https://www.cmswire.com/digital-experience/sitecore-acquires-scrunch-to-boost-ai-search-visibility/
- Sitecore Acquires Scrunch: What It Means for Customers: https://www.dcxtransform.ae/insights/sitecore-scrunch-acquisition-what-it-means
- Scrunch AI review for agencies (2026): is it worth it for client AI visibility?: https://www.rankability.com/blog/scrunch-ai-review/
- The 9 Best Generative Engine Optimization (GEO) Tools of 2026: https://www.semrush.com/blog/best-generative-engine-optimization-tools/
- Scrunch Review: AI Search Visibility and Agent Experience Platform (2026: https://www.stackmatix.com/blog/scrunch-review
- Scrunch AI Review 2026: What $300/mo Gets ... - Analyze AI: https://www.tryanalyze.ai/blog/scrunch-ai-review
Additional AI research evidence142 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:2-4
- AI research evidence record grok:1
- AI research evidence record anthropic:6-4
- AI research evidence record anthropic:6-14
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c5
- AI research evidence record openai:c4
- AI research evidence record anthropic:5-2
- AI research evidence record kimi:web_search_unverified_2026
- AI research evidence record google:1.2.3
- AI research evidence record google:1.3.5
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:20-1
- AI research evidence record google:1.1.3
- AI research evidence record anthropic:5-2
- AI research evidence record openai:c2
- AI research evidence record anthropic:5-9
- AI research evidence record openai:c11
- AI research evidence record perplexity:c14
- AI research evidence record openai:c9
- AI research evidence record openai:c1
- AI research evidence record grok:1
- AI research evidence record anthropic:1-16
- AI research evidence record anthropic:19-7
- AI research evidence record anthropic:2-4
- AI research evidence record anthropic:20-1
- AI research evidence record google:1.1.1
- AI research evidence record google:1.3.5
- AI research evidence record perplexity:c5
- AI research evidence record anthropic:19-1
- AI research evidence record google:1.3.4
- AI research evidence record openai:c4
- AI research evidence record anthropic:16-4
- AI research evidence record anthropic:5-2
- AI research evidence record anthropic:3-2
- AI research evidence record anthropic:6-14
- AI research evidence record anthropic:6-15
- AI research evidence record google:1.1.2
- AI research evidence record google:1.3.2
- AI research evidence record openai:c1
- AI research evidence record openai:c9
- AI research evidence record anthropic:6-6
- AI research evidence record anthropic:20-1
- AI research evidence record anthropic:6-8
- AI research evidence record google:1.1.1
- AI research evidence record google:1.1.3
- AI research evidence record kimi:web_search_unverified_2026
- AI research evidence record google:1.2.3
- AI research evidence record google:1.3.5
- AI research evidence record grok:8
- AI research evidence record anthropic:14-2
- AI research evidence record anthropic:1-15
- AI research evidence record anthropic:6-4
- AI research evidence record google:1.1.5
- AI research evidence record google:1.3.3
- AI research evidence record anthropic:12-11
- AI research evidence record anthropic:5-9
- AI research evidence record openai:c1
- AI research evidence record anthropic:5-1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:3-2
- AI research evidence record anthropic:7-1
- AI research evidence record openai:c2
- AI research evidence record grok:8
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:5-9
- AI research evidence record anthropic:7-1
- AI research evidence record anthropic:7-2
- AI research evidence record anthropic:27-5
- AI research evidence record openai:c4
- AI research evidence record anthropic:5-2
- AI research evidence record openai:c1
- AI research evidence record google:1.3.2
- AI research evidence record anthropic:5-9
- AI research evidence record anthropic:2-4
- AI research evidence record anthropic:20-1
- AI research evidence record anthropic:23-6
- AI research evidence record anthropic:23-7
- AI research evidence record anthropic:1-15
- AI research evidence record anthropic:6-4
- AI research evidence record anthropic:23-7
- AI research evidence record anthropic:6-6
- AI research evidence record openai:c1
- AI research evidence record anthropic:26-10
- AI research evidence record anthropic:6-8
- AI research evidence record openai:c4
- AI research evidence record anthropic:16-1
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:5-9
- AI research evidence record google:1.1.5
- AI research evidence record google:1.3.3
- AI research evidence record kimi:profound_content
- AI research evidence record kimi:clearcited_methodology
- AI research evidence record kimi:omniseo_services
- AI research evidence record kimi:novcog_services
- AI research evidence record kimi:cite_solutions_b2b
- AI research evidence record kimi:enleaf_aisearch
- AI research evidence record anthropic:6-8
- AI research evidence record anthropic:6-10
- AI research evidence record openai:c1
- AI research evidence record anthropic:3-2
- AI research evidence record anthropic:6-14
- AI research evidence record anthropic:5-1
- AI research evidence record grok:8
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c5
- AI research evidence record anthropic:20-1
- AI research evidence record anthropic:5-9
- AI research evidence record anthropic:16-1
- AI research evidence record openai:c9
- AI research evidence record anthropic:28-12
- AI research evidence record anthropic:35-8
- AI research evidence record openai:c1
- AI research evidence record anthropic:2-4
- AI research evidence record grok:1
- AI research evidence record google:1.1.1
- AI research evidence record anthropic:6-4
- AI research evidence record anthropic:1-15
- AI research evidence record anthropic:6-14
- AI research evidence record google:1.1.2
- AI research evidence record openai:c9
- AI research evidence record anthropic:6-6
- AI research evidence record anthropic:6-8
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:5-9
- AI research evidence record kimi:web_search_unverified_2026
- AI research evidence record kimi:web_search_unverified_2026
- AI research evidence record anthropic:3-2
- AI research evidence record google:1.1.2
- AI research evidence record openai:c9
- AI research evidence record anthropic:6-6
- AI research evidence record openai:c1
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:16-1
- AI research evidence record grok:8
- AI research evidence record anthropic:28-12
- AI research evidence record anthropic:28-14
- AI research evidence record anthropic:35-8
Verify this research
Review the study details behind this page or download the public machine-readable verification record.
- Study date
- September 19, 2026
- Platforms analyzed
- 6
- Source records
- 55
- Ranking mentions
- 2 of 6
- Platform share
- 33%
- Final consensus rank
- #10
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
28 independent · 27 company-owned
Evidence support
39 direct · 6 partial
Important limitation
Use the run research_date as the study date. Platform-reported dates are provenance metadata and do not independently prove freshness.
Source snapshot SHA-256 aa1bc97f048535aa4413ab32293cfd6e3f42330a7148730324169258badbe1b5