Answer Capsule
Scrunch is a good fit for the measurement half of this use case and a mixed fit for the strategy-and-execution half. Two of seven platforms named Scrunch during ranking discovery — OpenAI (rank 4) and DeepSeek (rank 8) — giving it a 28.6% share of included platform responses and an average listed rank of 6.0. Its strongest reason to consider it is audit-grade AI visibility infrastructure: prompt monitoring, citation and source intelligence, competitor benchmarking across up to nine AI platforms, and SOC 2 Type II certification. The main limitation is execution: self-serve plans surface findings but do not fix them, and the Agent Experience Platform positioned as the execution bridge is Enterprise-only and described in independent reviews as limited pilot.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 2 of 7 included platforms (OpenAI, DeepSeek) |
| Share of included platform responses | 28.6% |
| Average listed rank | 6.0 |
| Best listed rank | 4 (OpenAI) |
| Relevant product/model/plan | Scrunch AI Search Visibility platform and Agent Experience Platform (AXP); Core or Enterprise tiers |
| Overall use-case fit | Good for audit, prompt research, citation measurement, and benchmarking; mixed for strategic interpretation and implementation |
| Research date | 2026-09-18 |
Why Scrunch Qualified for This Study
Questions This Section Answers
- Is Scrunch a good choice for AI Search Audit and Market Intelligence Partners for Strategy and Execution?
- Why did only two of seven AI platforms name Scrunch in the ranking stage?
Scrunch qualified because it was named by more than one platform during ranking discovery, clearing the study's minimum-mention threshold. OpenAI listed it at rank 4 and DeepSeek at rank 8, producing an average listed rank of 6.0 and a 28.6% share of included platform responses [1].
Qualification is not the same as consensus. Five of the seven included platforms — Anthropic, Google, Grok, Perplexity, and Kimi — evaluated Scrunch's fit but did not place it in their ranking output. Their fit ratings ranged from "strong" (Google) to "uncertain" (Kimi), which means the entity was assessed favorably by some platforms that still did not rank it.
The two platforms that did rank Scrunch described it in similar terms: a software-led AI search visibility platform covering auditing, prompt research, citation and source intelligence, competitor benchmarking, and ongoing monitoring [1]. DeepSeek's assessment was based on company materials only, with no independent corroboration located in its sources [2].
The Product, Model, Plan, or Service Most Relevant to AI Search Audit and Market Intelligence Partners for Strategy and Execution
Questions This Section Answers
- Which Scrunch plan should a buyer choose if they need citation architecture analysis and competitor benchmarking across nine AI platforms?
- Does Scrunch's Agent Experience Platform (AXP) provide the implementation help this use case requires?
The relevant offering is the Scrunch AI Search Visibility platform plus the Agent Experience Platform (AXP), sold on Core and Enterprise tiers [3]. Scrunch describes four core products: monitoring, auditing, optimization, and content delivery via AXP [5].
Core is the entry tier. Public pricing materials list Core at $250 per month with 125 unique prompts, five site audits per month, one brand workspace, five user licenses, one country, three personas, two languages, and five competitors [3]. Core publicly lists ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot [3]. A seven-day free trial is advertised [3].
Enterprise is custom-priced and adds custom prompt volumes, additional workspaces and users, expanded model coverage, API access, SSO, and dedicated account support [3]. Enterprise publicly lists nine platforms, including Claude, Gemini, Meta AI, Google AI Mode, and Grok [3]. Anthropic's research describes Enterprise as supporting up to 350 custom prompts across nine engines [7].
AXP is the piece most directly tied to the "help implementing" requirement. Scrunch describes it as converting a website into an AI-optimized format and delivering it to AI agents [8], operating at the CDN level to serve a cleaner, optimized version of pages directly to crawling bots [9]. Independent reviewers describe AXP as Enterprise-only and in limited pilot, not generally available [10]. Buyers should treat AXP availability as a verification item, not a confirmed inclusion.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Scrunch does well for AI search audit and market intelligence?
- Is Scrunch's citation and source intelligence capability confirmed across platforms?
Platforms broadly agreed that Scrunch covers the audit-and-measurement portion of this use case. OpenAI, Anthropic, Grok, Perplexity, and Google all described prompt-level monitoring, citation tracking, competitor benchmarking, and site auditing as core capabilities [11].
Citation and source intelligence drew the most consistent support. Scrunch reports brand presence, competitive presence, position, sentiment, citations, cited URLs, citation consistency, and an Influence Score, filterable by platform, prompt type, topic, persona, funnel stage, country, and citation owner [16]. Independent coverage describes citation context and competitive positioning tracking across AI search platforms [14].
Competitor benchmarking was also widely supported. Scrunch states it benchmarks competitors across nine AI platforms, supports metric and filter comparison, suggests competitors from response data, and identifies competitor and third-party sources influencing AI answers [18]. Grok's research describes competitor presence, AI search trends over 12 weeks, and a reporting dashboard [20].
Security posture was a differentiator in independent comparisons. Scrunch combines SOC 2 Type II certification with real-time AI bot crawling feeds and site audit modules [21], and one comparison described it as the only audit-grade tool with formal security certification in that review [22]. HubSpot identified Scrunch as best fit for a SOC 2 Type II certified, AXP-enabled platform [23].
Platform agreement here reflects consistent descriptions of marketed capabilities. It does not establish that those capabilities perform as described.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Why do AI platforms disagree about whether Scrunch is a strong or uncertain fit for this use case?
- Is Scrunch's pricing publicly documented, or do platforms conflict on plan names and costs?
Fit ratings diverged sharply. Google rated Scrunch "strong," calling it a premier choice for enterprise-level AI search auditing and execution [24]. OpenAI, DeepSeek, Grok, and Perplexity rated it "good." Anthropic rated it "mixed," and Kimi rated it "uncertain," stating that no verifiable source confirmed Scrunch's specific AI search audit capabilities, methodology, platform coverage, or pricing [26].
Pricing is the clearest unresolved conflict. Scrunch's public pricing page shows Core at $250 per month [27]. Independent reviews report Starter at $300 per month month-to-month or $250 per month annual [29], and Growth at $417 per month billed annually or $500 month-to-month [28]. Anthropic's research also lists Agency Core at $500 per month [30]. The differences may reflect plan renaming or billing variation; the current canonical structure is unclear.
AXP availability is a second conflict. Company materials describe AXP as part of the platform [31], while independent reviews consistently describe it as Enterprise-only and in limited pilot [33]. One reviewed AXP page contained unrelated product and pricing text embedded alongside Scrunch content, so its detailed technical and pricing claims should not be relied on without direct confirmation [34].
Feature maturity is a third. Multiple independent reviews describe Insights and Site Audits as beta-stage [35], while company marketing does not flag beta status. Whether this reflects outdated reviews or ongoing maturity issues is unresolved.
Execution depth drew the most substantive disagreement. Independent reviewers state that Scrunch tells you what is wrong but does little to fix it, and that the execution layer is thin [36]. Self-serve plans include only basic content generation, with deeper automation reserved for Enterprise [33]. One vendor comparison notes Scrunch assumes your team will act on its recommendations [37].
Ownership introduced roadmap uncertainty. Sitecore acquired Scrunch on June 3, 2026, with Bloomberg reporting the price at roughly $225 million [38]. Gartner framed the deal as moving AEO from passive measurement to strategic execution [25]. The platform continues as a standalone product [40], but no public information describes the integration roadmap.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does Scrunch cover large-scale prompt research and historical tracking for enterprise AI search audit programs?
- How does Scrunch handle executive reporting and strategic interpretation compared with its monitoring features?
Scrunch's coverage is strongest on audit, measurement, and benchmarking, and weakest on strategic interpretation and implementation.
Audit and prompt research. Scrunch provides prompt monitoring, AI visibility measurement, site audits, prompt generation or keyword-to-prompt conversion, funnel stages, personas, countries, and topic-based analysis [41]. Core includes 125 unique prompts and five site audits per month; Enterprise provides custom prompt volumes and complete site audits [41]. Anthropic's research notes that each AI engine tracked depletes the custom prompt allowance faster than expected [43]. Independent reviewers note that checking each page manually in site audits is not feasible for brands with larger sites [44].
Recommendation and citation measurement. The platform reports brand presence, competitive presence, position, sentiment, citations, cited URLs, citation consistency, unique prompt counts, total citations, and an Influence Score [45]. Citation data can be filtered by platform, prompt type, topic, persona, funnel stage, country, and citation owner [46]. Scrunch defines a citation as a URL cited by an AI platform for a tracked prompt; JavaScript-only pages, bot blocking, and temporary retrieval errors may prevent complete source-content analysis [45].
Competitor benchmarking and source intelligence. Scrunch benchmarks competitors across nine AI platforms, supports comparison across metrics and filters, suggests competitors from response data, and identifies competitor and third-party sources influencing AI answers [47]. Independent coverage confirms citation analysis, competitor benchmarking, and page audits [49].
Historical tracking and executive reporting. Scrunch describes historical competitor and citation tracking with automatic updates as new data is collected [47]. The public pricing table lists reporting dashboards, but Executive/Board Reporting, strategy calls, dedicated account support, Looker Studio, query API, MCP, CLI, and advanced API access are not included in Core and are not publicly specified for Enterprise [50]. Independent reviewers describe reporting and data visualization as weak for enterprise, lacking trend analysis and advanced forecasting [51].
Strategic interpretation and implementation. Scrunch offers insights and recommendations, page optimization, content generation, site diagnostics, and AXP capabilities intended to connect observation with optimization and content delivery [42]. Public materials do not clearly establish the scope, staffing, deliverables, or fees for human-led strategy and implementation services [41]. Enterprise plans include a forward-deployed engineer and dedicated account team per Anthropic's research [43], but this is platform-reported.
Crawler analytics. Independent reviews describe crawler and traffic analytics with named tracking of ClaudeBot, GPTBot, and PerplexityBot as the most-praised part of the product [53], with GA4 and Cloudflare integration for real-time AI crawler visit tracking [54].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Scrunch cost per month, and is the Core plan's $250 price enough for a full AI search audit program?
- What contract, cancellation, and overage terms should a buyer confirm before purchasing Scrunch?
Published pricing is partially transparent and internally inconsistent across sources. Scrunch's public pricing page shows Core at $250 per month [55]. Independent reviews report Starter at $300 per month month-to-month or $250 per month annual, and Growth at $500 month-to-month or $417 billed annually [57]. Agency Core is listed at $500 per month [58]. Enterprise is custom-priced [55].
Core limits are specific: 125 unique prompts, five site audits per month, one brand workspace, five user licenses, one country, three personas, two languages, and five competitors [55]. A seven-day free trial is advertised, with one source stating no credit card is required [55].
Additional fees are unclear. Public materials do not establish whether additional prompts, users, workspaces, audits, API access, implementation, consulting, or content-delivery usage incur separate charges, or whether annual commitments, onboarding, or professional services are required for Enterprise [55]. One third-party source reports extra seats can cost additional monthly fees on lower tiers [56].
Contract terms are largely undisclosed. Public pricing materials reviewed do not specify minimum contract duration, renewal, cancellation, refund, or notice terms [55]. Self-serve plans are described as month-to-month or annual [57]. Enterprise commercial terms require verification before purchase [55].
One independent review states the $250 per month entry price is hard to justify if you are the only person acting on the data [60]. Lower-cost monitoring alternatives were cited at $15–$149 per month in one platform's research [61].
Best Suited For
Questions This Section Answers
- Who gets the most value from Scrunch for AI search audit and market intelligence?
- Is Scrunch worth it for enterprises that need SOC 2 Type II compliance and audit-grade infrastructure?
Scrunch is best suited to organizations that need rigorous measurement and already have the capacity to act on findings.
- Marketing, SEO, content, and digital teams building repeatable AI-search measurement programs [62].
- Companies needing multi-platform prompt, brand, competitor, citation, sentiment, and historical monitoring [62].
- Enterprises requiring SOC 2 Type II compliance and audit-grade infrastructure for AI visibility management [63].
- Organizations with in-house technical teams who can translate Scrunch recommendations into implementation [65].
- Mid-market and enterprise brands conducting multi-platform AI search audits across four to nine AI engines [66].
- Teams needing real-time AI bot crawling analytics integrated with Google Analytics to explain visibility changes [67].
- Sitecore customers seeking a native integration bridging AI discovery insights with content personalization [69].
Probably Not Best Suited For
Questions This Section Answers
-
Who should not choose Scrunch for AI Search Audit and Market Intelligence Partners for Strategy and Execution?
-
Is Scrunch a poor fit for buyers who need end-to-end GEO execution in one platform?
-
Buyers seeking a primarily human-led strategy consultancy rather than a software-centered platform [70].
-
Organizations requiring independently audited AI-answer measurement or fully disclosed enterprise pricing before procurement [70].
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Teams requiring end-to-end execution — content creation, schema fixes, CMS integration, outreach — in one platform [71].
-
Buyers seeking AXP as the primary value proposition, since it is described as Enterprise-only and in limited pilot [71].
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Solo marketers and freelancers for whom the $250 per month entry barrier is high relative to $29–$50 alternatives [72].
-
Buyers needing rapid strategic interpretation and help implementing GEO priorities without supplementary tools [73].
-
Organizations expecting traditional keyword and backlink tracking, which is not Scrunch's core focus [74].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Scrunch for a buyer who needs end-to-end GEO execution rather than monitoring?
- When should a buyer choose a lower-cost AI visibility tool instead of Scrunch?
Several platform responses named specific alternatives and the conditions that favor them.
Choose a human-led specialist consultancy when the primary need is executive strategy, cross-functional prioritization, stakeholder alignment, and implementation management [75]. Choose a different enterprise platform when procurement requires transparent published enterprise pricing, independently validated methodology, extensive API and reporting controls, or contractual service-level commitments [75].
Choose a lower-cost monitoring tool when the buyer only needs basic prompt and share-of-voice tracking rather than citation architecture, site audits, and optimization workflows [75]. Named lower-cost options in platform research include Peec AI ($15–$149/month), Otterly AI ($29/month), and Botric (free plan plus $15–$149/month paid) [76].
Choose an execution-oriented platform when the buyer needs content creation, optimization, and schema deployment in one system. Named options include Rankability, Botric, and AthenaHQ [76]. For deeper competitive intelligence across 10+ engines, Profound AI and AthenaHQ were named [76]. For white-label reporting and multi-client agency workflows, Rankability and WorkDuo were named [76].
Kimi's research named a different alternative set with documented methodologies and published pricing: SearchIntel, MonitorAEO, Astiva AI, and Loamly [77]. That platform also stated Scrunch does not appear in documented 2026 comparisons of AI search intelligence vendors [81].
Questions to Verify Before Buying
Questions This Section Answers
-
What should a buyer confirm with Scrunch before signing a contract?
-
Which Scrunch plan details are undocumented and require direct confirmation?
-
What exact AI platforms, countries, languages, prompt volumes, refresh rates, and historical lookback periods are included in the quoted plan? [82]
-
How are AI answers sampled, deduplicated, versioned, and evaluated for variance across repeated runs? [82]
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How are citations detected in answers that provide no URLs, indirect references, shopping results, or dynamic search experiences? [82]
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What are the contractual limits and overage prices for prompts, users, workspaces, audits, API calls, and content-generation or delivery usage? [82]
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Does Enterprise include human strategy reviews, executive reporting, and implementation support, or only software access? [82]
-
Is AXP generally available now, or does it remain in limited pilot, and what are the access criteria? [83]
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What is the roadmap for integrating Scrunch into Sitecore's digital experience platform, and will standalone product status be maintained? [84]
-
Are Insights and Site Audits still in beta, and what is the timeline for general availability? [86]
-
What is the current canonical pricing and plan name for self-serve tiers — Core at $250 or Starter at $300? [87]
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What APIs, exports, integrations, SSO controls, data-retention rules, and security documentation are included? [82]
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What are the minimum term, renewal, cancellation, refund, data-export, and post-termination data-deletion terms? [82]
-
Can Scrunch provide a sample audit, methodology documentation, and references from comparable companies? [82]
Final AI Consensus Verdict
Scrunch is a good fit for the audit, prompt research, citation measurement, and competitor benchmarking requirements of this use case, and a mixed fit for strategic interpretation and implementation. Two of seven platforms named it during ranking discovery, and five additional platforms evaluated its fit without ranking it.
The strongest case for Scrunch is measurement infrastructure: prompt-level monitoring, citation and source intelligence with an Influence Score, competitor benchmarking across up to nine AI platforms, crawler analytics, and SOC 2 Type II certification [88]. The strongest case against treating it as a complete answer is execution. Self-serve plans surface findings without fixing them [91], AXP is described as Enterprise-only and in limited pilot [92], and public materials do not establish the scope, staffing, or fees for human-led strategy services [88].
Buyers should purchase Scrunch as a platform-led measurement and optimization solution, not as a fully specified independent market-intelligence consultancy or implementation partner, until services, methodology, enterprise limits, and commercial terms are verified. Pricing conflicts, AXP availability, beta-stage features, and Sitecore integration uncertainty are all unresolved in the supplied evidence.
How This Review Was Produced
This review synthesizes fit-research responses from seven AI platforms — OpenAI, Anthropic, DeepSeek, Grok, Perplexity, Google, and Kimi — each of which independently evaluated Scrunch against the same use case: AI Search Audit and Market Intelligence Partners for Strategy and Execution. The authoritative research date is 2026-09-18.
Only two platforms, OpenAI and DeepSeek, named Scrunch during ranking discovery, which is what the platform-mention count reflects. All seven platforms produced fit assessments. Fit ratings were: Google "strong"; OpenAI, DeepSeek, Grok, and Perplexity "good"; Anthropic "mixed"; Kimi "uncertain."
Citations are platform-reported evidence, not independently verified facts. Company-owned citations materially outnumber independent citations in the supplied catalog, so company claims should not be read as independently validated. No personal testing, customer interviews, or independent verification was performed for this review.
Methodology Limitations
- Platform-reported research dates differ from the authoritative run date. DeepSeek's research is dated 2026-01-15; all other platforms are dated 2026-09-18. Platform-reported dates are provenance metadata and do not independently prove freshness.
- DeepSeek's research ran with search disabled, so its findings rest on company materials without retrieved external corroboration [93].
- The supplied URLs were collected from platform responses and were not independently validated by the writer stage.
- Company-owned citations materially outnumber independent citations. Company claims are labeled as such and are not described as independently verified.
- Pricing sources conflict on plan names, included prompts, seat counts, and monthly-equivalent pricing. This review preserves the conflict rather than resolving it.
- One reviewed AXP page contained unrelated product and pricing text embedded alongside Scrunch content, so its detailed technical and pricing claims should not be relied on without direct confirmation [94].
- No independent source reviewed confirms Scrunch's claimed customer scale, outcome statistics, measurement accuracy, or the causal impact of its recommendations [95].
- Kimi's research located no verifiable source confirming Scrunch's specific AI search audit capabilities, methodology, platform coverage, or pricing [96].
- Platform agreement on marketed capabilities does not prove product quality or performance.
- Missing research was not interpreted as disagreement. Where a platform did not address a factor, that factor is described as unverified rather than contradicted.
Explore more ai search audits market intelligence guidance in the category directory.
Sources
Company-Owned Sources
- AEO Engine vs Scrunch (AEO Engine: https://aeoengine.ai/vs/scrunch
- Astiva AI Product: Detect, Diagnose, Displace, Prove AI Visibility: https://astiva.ai/product
- Market Brew | AI Visibility Modeling for Search, LLMs, and GEO: https://marketbrew.ai/
- Scrunch homepage: https://scrunch.com/
- About: https://scrunch.com/about/
- AI search optimization for agencies - Scrunch: https://scrunch.com/agencies/
- Scrunch | Blog: https://scrunch.com/blog/
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- The next chapter for Scrunch—and the future of agent experience: https://scrunch.com/blog/agent-experience-platform
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- Scrunch vs Searchable: Which is Better? | AEO Compare: https://scrunch.com/compare/scrunch-vs-searchable
- Scrunch FAQs: https://scrunch.com/faqs/
- Can Scrunch show what sources are being cited by AI models in their responses?: https://scrunch.com/faqs/can-scrunch-show-what-sources-are-being-cited-by-ai-models-in-their-responses
- Does Scrunch do competitive benchmarking against multiple answer engines?: https://scrunch.com/faqs/does-scrunch-do-competitive-benchmarking-against-multiple-answer-engines/
- Does Scrunch help me prioritize citation sources?: https://scrunch.com/faqs/does-scrunch-help-me-prioritize-citation-sources
- How does Scrunch track competitor performance in AI search?: https://scrunch.com/faqs/how-does-scrunch-track-competitor-performance-in-ai-search
- FAQs - What is Scrunch's Agent Experience Platform (AXP: 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 | Agent Experience Platform (AXP: https://scrunch.com/platform/agent-experience/
- Scrunch Monitoring for AI Search: https://scrunch.com/platform/monitoring/citations/
- Scrunch Pricing: https://scrunch.com/pricing/
- AI Market Intel | See Your Whole Category in AI: https://topslot.ai/product/ai-market
- AI Recommendation Intelligence Report | AI Visibility Audit: https://www.loamly.ai/intelligence
- Monitoraeo — see how AI engines describe your brand: https://www.monitoraeo.com/
- Audit — AI visibility diagnostic: https://www.monitoraeo.com/product/audit
- Search Intelligence Platform: How SearchIntel Works: https://www.searchintel.tech/technology/
- AI search visibility and optimization for AI discovery - Sitecore: https://www.sitecore.com/solutions/ai/scrunch
- Official pricing and terms source: https://scrunch.com/terms/
Additional AI research evidence96 records
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:11-1
- AI research evidence record anthropic:2-3
- AI research evidence record anthropic:17-4
- AI research evidence record anthropic:9-11
- AI research evidence record perplexity:1
- AI research evidence record google:1.1.9
- AI research evidence record anthropic:13-5
- AI research evidence record openai:c1
- AI research evidence record anthropic:30-1
- AI research evidence record grok:5
- AI research evidence record perplexity:8
- AI research evidence record google:1.1.5
- AI research evidence record openai:c4
- AI research evidence record openai:c5
- AI research evidence record openai:c2
- AI research evidence record openai:c6
- AI research evidence record grok:9
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:10-6
- AI research evidence record anthropic:29-3
- AI research evidence record google:1.1.1
- AI research evidence record google:2.1.6
- AI research evidence record kimi:scrunch_unverified_2026
- AI research evidence record openai:c1
- AI research evidence record perplexity:3
- AI research evidence record anthropic:16-3
- AI research evidence record anthropic:11-2
- AI research evidence record perplexity:1
- AI research evidence record perplexity:2
- AI research evidence record anthropic:13-5
- AI research evidence record openai:c9
- AI research evidence record anthropic:15-2
- AI research evidence record anthropic:13-3
- AI research evidence record anthropic:27-1
- AI research evidence record anthropic:16-2
- AI research evidence record anthropic:21-9
- AI research evidence record anthropic:17-9
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:9-11
- AI research evidence record anthropic:6-5
- AI research evidence record openai:c4
- AI research evidence record openai:c5
- AI research evidence record openai:c2
- AI research evidence record openai:c6
- AI research evidence record anthropic:30-1
- AI research evidence record openai:c8
- AI research evidence record anthropic:15-2
- AI research evidence record openai:c9
- AI research evidence record anthropic:18-5
- AI research evidence record anthropic:10-7
- AI research evidence record openai:c1
- AI research evidence record perplexity:3
- AI research evidence record anthropic:16-3
- AI research evidence record anthropic:11-2
- AI research evidence record anthropic:17-4
- AI research evidence record anthropic:19-12
- AI research evidence record anthropic:13-5
- AI research evidence record openai:c1
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:10-6
- AI research evidence record anthropic:13-3
- AI research evidence record anthropic:9-11
- AI research evidence record anthropic:10-7
- AI research evidence record anthropic:18-5
- AI research evidence record google:1.1.6
- AI research evidence record openai:c1
- AI research evidence record anthropic:13-5
- AI research evidence record anthropic:19-12
- AI research evidence record anthropic:13-3
- AI research evidence record google:1.1.1
- AI research evidence record openai:c1
- AI research evidence record anthropic:13-5
- AI research evidence record kimi:searchintel_tech
- AI research evidence record kimi:monitoraeo_audit
- AI research evidence record kimi:astiva_product
- AI research evidence record kimi:loamly_intelligence
- AI research evidence record kimi:scrunch_unverified_2026
- AI research evidence record openai:c1
- AI research evidence record anthropic:13-5
- AI research evidence record anthropic:16-2
- AI research evidence record anthropic:17-9
- AI research evidence record anthropic:15-2
- AI research evidence record anthropic:16-3
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:13-3
- AI research evidence record anthropic:13-5
- AI research evidence record deepseek:c1
- AI research evidence record openai:c9
- AI research evidence record openai:c1
- AI research evidence record kimi:scrunch_unverified_2026
Independent Sources
- Scrunch AI Review: Pricing, Features, and Top Alternatives (Cairrot: https://cairrot.com/alternatives/scrunch-ai-review-pricing-comparison/
- Scrunch AI: Agent Experience Platform for AI Crawlers: https://everything-pr.com/scrunch-ai-agent-experience-platform-decibel-mayfield-homebrew-geo-profile
- Scrunch AI Review 2026: Pricing & Crawler Analytics (Geoptie: https://geoptie.com/blog/scrunch-ai-review
- Scrunch AI Review (GeoToolbox: https://geotoolbox.ai/blog/scrunch-ai-review
- Profound vs Scrunch: Comparing AI Search Tools 2026: https://nicklafferty.com/blog/profound-vs-scrunch/
- Scrunch AI Review (Radarkit: https://radarkit.ai/blog/scrunch-ai-review/
- Scrunch AI Review: Features, Pricing & Is It Worth $250+?: https://ranksaver.com/blog/scrunch-ai-review
- What is Scrunch AI? A Detailed Guide to the Agent Experience Platform: https://simaia.com/blog/what-is-scrunch-ai
- Scrunch AI Pricing 2026: $250/mo Core, Custom Enterprise: https://thatmarketingbuddy.com/pricing/scrunch
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- Scrunch AI Features: Prompt Monitoring, AXP, Audits & Traffic: https://trakkr.ai/reviews/scrunch-review/features
- Scrunch AI Review 2026: Pricing Tiers, Features (Amicited: https://www.amicited.com/reviews/scrunch-ai-review/
- What Is Scrunch? AI Search, AEO & GEO Platform (Ansvisor: https://www.ansvisor.com/ai-visibility-glossary/scrunch
- Sitecore Acquires Scrunch For AI Brand Presence - CMS Wire: https://www.cmswire.com/digital-experience/sitecore-acquires-scrunch-for-ai-brand-presence
- Scrunch AI - Pricing: https://www.g2.com/products/scrunch-ai/pricing
- First Take: Sitecore Acquires Scrunch to Move AEO Into the Content Supply Chain - Gartner: https://www.gartner.com/document/5431612
- Scrunch Review & Pricing 2026: Now a Sitecore Company (Get-Ryze: https://www.get-ryze.ai/blog/scrunch-review-pricing-2026
- 10 Best AEO Software Tools for 2026 (HubSpot: https://www.hubspot.com/products/aeo/best-aeo-software
- Best 22 AEO Tools for Answer Engine Optimization in 2026 (Omnibound: https://www.omnibound.ai/blog/best-aeo-tools-for-answer-engine-optimization
- 8 Best Scrunch AI Alternatives for Agencies (Rankability: https://www.rankability.com/blog/scrunch-ai-alternatives/
- Scrunch AI Review for Agencies (Rankability: https://www.rankability.com/blog/scrunch-ai-review/
- Best AI Search Visibility Checklist & Audit Tools 2026 (The Rank Masters: https://www.therankmasters.com/insights/ai-visibility/ai-search-visibility-audit-tools
Additional AI research evidence96 records
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:11-1
- AI research evidence record anthropic:2-3
- AI research evidence record anthropic:17-4
- AI research evidence record anthropic:9-11
- AI research evidence record perplexity:1
- AI research evidence record google:1.1.9
- AI research evidence record anthropic:13-5
- AI research evidence record openai:c1
- AI research evidence record anthropic:30-1
- AI research evidence record grok:5
- AI research evidence record perplexity:8
- AI research evidence record google:1.1.5
- AI research evidence record openai:c4
- AI research evidence record openai:c5
- AI research evidence record openai:c2
- AI research evidence record openai:c6
- AI research evidence record grok:9
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:10-6
- AI research evidence record anthropic:29-3
- AI research evidence record google:1.1.1
- AI research evidence record google:2.1.6
- AI research evidence record kimi:scrunch_unverified_2026
- AI research evidence record openai:c1
- AI research evidence record perplexity:3
- AI research evidence record anthropic:16-3
- AI research evidence record anthropic:11-2
- AI research evidence record perplexity:1
- AI research evidence record perplexity:2
- AI research evidence record anthropic:13-5
- AI research evidence record openai:c9
- AI research evidence record anthropic:15-2
- AI research evidence record anthropic:13-3
- AI research evidence record anthropic:27-1
- AI research evidence record anthropic:16-2
- AI research evidence record anthropic:21-9
- AI research evidence record anthropic:17-9
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:9-11
- AI research evidence record anthropic:6-5
- AI research evidence record openai:c4
- AI research evidence record openai:c5
- AI research evidence record openai:c2
- AI research evidence record openai:c6
- AI research evidence record anthropic:30-1
- AI research evidence record openai:c8
- AI research evidence record anthropic:15-2
- AI research evidence record openai:c9
- AI research evidence record anthropic:18-5
- AI research evidence record anthropic:10-7
- AI research evidence record openai:c1
- AI research evidence record perplexity:3
- AI research evidence record anthropic:16-3
- AI research evidence record anthropic:11-2
- AI research evidence record anthropic:17-4
- AI research evidence record anthropic:19-12
- AI research evidence record anthropic:13-5
- AI research evidence record openai:c1
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:10-6
- AI research evidence record anthropic:13-3
- AI research evidence record anthropic:9-11
- AI research evidence record anthropic:10-7
- AI research evidence record anthropic:18-5
- AI research evidence record google:1.1.6
- AI research evidence record openai:c1
- AI research evidence record anthropic:13-5
- AI research evidence record anthropic:19-12
- AI research evidence record anthropic:13-3
- AI research evidence record google:1.1.1
- AI research evidence record openai:c1
- AI research evidence record anthropic:13-5
- AI research evidence record kimi:searchintel_tech
- AI research evidence record kimi:monitoraeo_audit
- AI research evidence record kimi:astiva_product
- AI research evidence record kimi:loamly_intelligence
- AI research evidence record kimi:scrunch_unverified_2026
- AI research evidence record openai:c1
- AI research evidence record anthropic:13-5
- AI research evidence record anthropic:16-2
- AI research evidence record anthropic:17-9
- AI research evidence record anthropic:15-2
- AI research evidence record anthropic:16-3
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:13-3
- AI research evidence record anthropic:13-5
- AI research evidence record deepseek:c1
- AI research evidence record openai:c9
- AI research evidence record openai:c1
- AI research evidence record kimi:scrunch_unverified_2026
Verify this research
Review the study details behind this page or download the public machine-readable verification record.
- Study date
- September 18, 2026
- Platforms analyzed
- 7
- Source records
- 52
- Ranking mentions
- 2 of 7
- Platform share
- 29%
- Final consensus rank
- #10
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
22 independent · 30 company-owned
Evidence support
46 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 baae26a5608f7c89c714e80981fb50912abd7f47ead70226a829fcabccd77f0b