Answer Capsule
Scrunch is a good fit for companies that need to monitor Perplexity citations, analyze which sources Perplexity cites, benchmark competitors, and audit technical barriers to AI crawler access. It is a weaker fit as a complete content optimization system, because the public evidence emphasizes measurement, diagnostics, and recommendations over producing and validating improved content. Two of the seven platforms that evaluated fit named Scrunch during the ranking stage (grok and openai), and both ranked it first. The strongest reason to consider it is direct Perplexity tracking combined with citation-source analysis and AI-oriented site audits in one platform. The main limitation is that Scrunch measures and diagnoses AI visibility but does not control Perplexity's retrieval, ranking, or citation selection, and independent evidence of improved Perplexity outcomes was not located.
Research Snapshot
| Field | Value |
|---|---|
| Platform mentions in ranking stage | 2 |
| Share of included platform responses | 28.6% (2 of 7) |
| Average listed rank | 1.0 |
| Best listed rank | 1 |
| Relevant product/model/plan | Scrunch AI platform: Core for brands; Enterprise for larger programs. A separate Starter tier was not verified in the reviewed official materials. |
| Overall use-case fit | Good for Perplexity visibility monitoring and source-informed optimization; mixed as a complete content optimization system |
| Research date | 2026-09-19 |
Why Scrunch Qualified for This Study
Questions This Section Answers
- Is Scrunch a good choice for Content Optimization Tools for Perplexity Visibility?
- Why did only two of the seven AI platforms name Scrunch during the ranking stage?
Scrunch qualified because it operates directly in the AI-visibility and answer engine optimization category this buyer needs, and because two platforms named it during ranking discovery. Grok ranked Scrunch first and described it as a strong fit for monitoring and improving Perplexity visibility through AI search tracking, audits, and optimization features [1]. OpenAI also ranked it first, calling it a good fit for Perplexity monitoring, citation-source analysis, competitive benchmarking, and AI-oriented site and content audits [3].
Qualification is not the same as consensus. Only 2 of the 7 included platforms named Scrunch in the ranking stage, a 28.6% share. The remaining five platforms evaluated fit but did not name Scrunch during ranking discovery, so their fit ratings reflect assessment of the entity rather than a ranking endorsement. Fit ratings across the seven platforms were split: grok rated it strong, openai and perplexity rated it good, anthropic and google rated it mixed, and deepseek and kimi rated it uncertain.
One normalization note matters for buyers: official-site retrieval failed for at least one mention during ranking, and no failed fetch was used as a verified domain key. Company-name variants were collapsed onto one canonical brand before minimum-mentions qualification. This means Scrunch's inclusion rests partly on platform-reported and third-party descriptions rather than a fully retrieved official site at ranking time.
The Product, Model, Plan, or Service Most Relevant to Content Optimization Tools for Perplexity Visibility
Questions This Section Answers
- Which Scrunch plan should a buyer choose if they need Perplexity monitoring for a single brand?
- Does Scrunch's Core plan include Perplexity tracking, or is Perplexity only available on Enterprise?
The relevant product is the Scrunch AI platform, sold as Core for brands and Enterprise for larger programs. A separate Starter tier was named in the ranking-stage recommendation but was not verified in the reviewed official materials, so buyers should treat Starter as unconfirmed.
Core is the publicly relevant entry plan for a brand monitoring Perplexity. Official pricing lists Core at $250 per month [5]. Core covers four AI engines, including Perplexity, alongside ChatGPT, Google AI Overviews, and Copilot [8]. Enterprise expands coverage to nine models: ChatGPT, Claude, Perplexity, Gemini, Meta AI, Google AI Mode, Google AI Overviews, Copilot, and Grok [11].
Perplexity coverage is stated in official enterprise messaging, which says Monitoring & Insights covers AI visibility across leading platforms including Perplexity [12]. Scrunch also states it shows which sources AI models cite across platforms including ChatGPT, Gemini, and Perplexity [13].
Plan naming has been unstable. Independent reviews report Scrunch cycled through Starter, Growth, and Core labeling during 2026, with some sources referencing different plan names and coverage levels active at the same time [8]. One platform-reported pricing snippet referenced a Growth plan at $417 per month billed annually or $500 month-to-month [7]. Buyers should confirm the current plan name and engine coverage directly with the vendor before purchase.
What the AI Platforms Agreed About
Questions This Section Answers
- What do the AI platforms agree Scrunch does well for Perplexity visibility?
- Is Scrunch's Perplexity citation tracking confirmed across multiple platforms?
Platforms broadly agreed on four capabilities. First, Perplexity monitoring: multiple platforms reported that Scrunch tracks brand presence, citations, share of voice, position, and sentiment across Perplexity and other engines [16]. Second, citation-source analysis: Scrunch records cited URLs and provides citation metrics, with an Influence Score used to prioritize citation sources and filters by platform, topic, persona, country, funnel stage, and citation owner [20]. Third, competitive coverage: the platform reports competitor mentions and citations, identifies visibility gaps, and can suggest competitors from response data [24]. Fourth, AI-oriented site audits: Scrunch describes audits focused on AEO/GEO rather than traditional SEO, checking AI-bot accessibility, JavaScript rendering, raw-HTML text availability, markup complexity, content quality, structure, and links [26].
Agreement was strong on monitoring and citation analysis, and mixed on optimization execution. Independent reviews converged on the view that Scrunch identifies problems but does not solve them internally. One review stated Scrunch cannot automatically generate text or briefs and that users must leave the platform to execute fixes [28]. Another reported that Scrunch identifies optimization opportunities but does not make them highly actionable [29]. A third said Scrunch sells the tracking and monitoring side well, but teams often run into limits on active optimization execution [30].
Platform agreement here reflects repeated descriptions of the same vendor materials and third-party reviews. It does not prove product quality or Perplexity outcomes.
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 Perplexity visibility?
- Is there independent proof that Scrunch improves Perplexity citations?
Fit ratings diverged sharply. Grok rated Scrunch a strong fit [31]. OpenAI and Perplexity rated it good [32]. Anthropic and Google rated it mixed [34]. DeepSeek and Kimi rated it uncertain [36].
The most serious disagreement is identity. Kimi reported that Scrunch is an influencer marketing platform with no verifiable Perplexity, citation-tracking, or AEO/GEO features, and that the official site could not be verified as active during research [37]. Google reported that Scrunch was founded in 2015 as a data-driven influencer marketing platform and that buyers must distinguish the legacy creator database from Scrunch AI, which launched out of beta in 2025/2026 and was later acquired by Sitecore [38]. This conflict is material: a buyer searching for "Scrunch" may encounter the older influencer-marketing product rather than the AI visibility platform.
Other unresolved conflicts:
- Pricing and plan naming. Public snippets disagree on Core pricing and plan names, suggesting the live pricing page or FAQ may have changed [40]. One platform reported a Growth plan at $417 per month billed annually or $500 month-to-month [40].
- Prompt refresh frequency. One independent review reported a refresh rate of approximately every three days, not daily [43]. Another reported first-hand experience suggesting weekly updates, which slows decision-making [44]. Scrunch's own published cadence was not confirmed in the reviewed materials.
- Effective prompt count. One review stated that 125 prompts across four engines is effectively about 31 unique queries once fan-out tracking is applied [45].
- Agent Experience Platform (AXP) status. Multiple sources indicated AXP was in testing or rolling out as of mid-2026, while some reviews treated it as deployed [46].
- Sitecore acquisition. One review reported Sitecore announced the acquisition of Scrunch on June 3, 2026, with Bloomberg reporting a price of approximately $225 million [49]. This was not company-confirmed in the reviewed materials, and roadmap, pricing, and self-serve independence implications are unknown.
- Third-party citation percentages. Scrunch's public research pages report different third-party citation percentages, including 89.6% and 87.2%, likely reflecting different datasets or time windows; the methodology and reconciliation were not verified [50].
No independent source located in this study quantified Scrunch's Perplexity coverage, data freshness, or citation accuracy, and no published third-party benchmark or customer outcome data for Perplexity visibility was found [36].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does Scrunch provide content optimization recommendations for Perplexity, or only monitoring?
- Can Scrunch fix technical barriers that stop Perplexity from citing a page?
Scrunch's capabilities split into strong monitoring and diagnostic functions and weaker content-execution functions.
Monitoring and citation analysis are the strongest area. Scrunch reports brand presence, competitive presence, share of voice, position, sentiment, citations, AI bot traffic, referrals, and trends [52]. It records cited URLs and provides citation share, top cited domains, citation consistency, unique prompt count, total citations, and Influence Score [53]. Filters include platform, topic, persona, country, funnel stage, prompt type, and citation owner [54].
Competitive coverage is well supported. The platform reports competitor mentions and citations, identifies competitive visibility gaps, supports competitor comparisons, and can suggest competitors from response data [56].
Technical and content audits are a genuine differentiator. Scrunch describes AI site audits focused on AEO/GEO rather than traditional SEO, covering AI-bot accessibility, JavaScript rendering, raw-HTML text availability, markup complexity, content quality, structure, and links [58]. Core includes five site audits per month and one page optimization per month; Enterprise provides complete site audits and custom optimization capacity [59]. The Agent Experience Platform (AXP) is described as an infrastructure layer that delivers machine-readable content to AI agents at the CDN or edge level without altering the human-facing website [60]. AXP is gated to Enterprise and its production status is unclear.
Topical completeness and factual clarity are the weakest area. The reviewed materials support topic, content-quality, alignment, structure, and source-influence analysis, but do not clearly document a dedicated Perplexity-specific factual-accuracy checker, entity coverage score, or comprehensive topical-completeness methodology [53]. One review noted Scrunch provides "Missed Content Opportunity" analysis identifying topics where a brand is absent from AI responses, but does not provide semantic concept density recommendations or automated guidance on improving topical depth [63].
Optimization execution is limited. Core lists basic content generation and one page optimization per month; Enterprise lists advanced content generation and custom optimization. The public materials do not establish the depth, editorial controls, or output quality of these capabilities [59]. Independent reviews state Scrunch cannot automatically generate text or briefs and that users must leave the platform to execute fixes [64].
API and integration access is Enterprise-gated. Scrunch describes query, response, and agent-traffic APIs, with API billing based on collected AI responses rather than API-call count [65]. Core does not include API access, advanced integrations, full site audits, or AXP [59].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Scrunch cost per month, and are there setup or cancellation fees?
- What happens to a Scrunch Core subscription after the 7-day free trial ends?
Core is listed at $250 per month, and Enterprise is custom pricing [67]. Core includes 125 unique prompts, five site audits per month, one brand workspace, five user licenses, one country, three personas, two languages, five competitors, and three AI-search-trend topics [67].
Additional costs and terms reported across platforms:
- Additional user seats: $25 per month each, up to five extras on Core [72].
- Agency Core: $500 per month with unlimited seats, three brand workspaces, and 250 prompts [74].
- API usage may create additional variable cost because Scrunch states API charges are based on the number of AI responses collected; exact rates were not publicly verified [76].
- Enterprise pricing, expanded usage, additional brands, users, prompts, countries, and integrations require a quote [67].
- A 7-day Core trial is offered. After the trial, the account automatically upgrades to a paid plan unless canceled. If canceled, data remains accessible through the current billing cycle and the account then becomes inactive [77].
- Annual billing is referenced for some plans, but the exact discount percentage is not published. One platform-reported source suggested an annual discount equivalent to roughly two months free, or about 17%, but this was not confirmed [74].
Pricing confidence varies by platform. Anthropic and Google reported high confidence; OpenAI and Grok reported moderate confidence; Perplexity and DeepSeek reported low confidence [74]. Public snippets disagree on Core pricing and plan naming, so exact current price should be confirmed on the live plan page [69]. Annual-pricing availability and exact Enterprise commitment, renewal, cancellation, overage, and service-level terms were not verified [67].
Best Suited For
Questions This Section Answers
- Who gets the most value from Scrunch for Perplexity visibility?
- Is Scrunch worth it for a brand that only needs Perplexity citation monitoring?
Scrunch is best suited for brands tracking Perplexity presence, citations, competitors, topics, personas, and funnel stages [82]. Content and SEO teams that prioritize influential third-party sources and citation gaps are a strong match, because the platform surfaces which sources Perplexity cites and how often [84].
It also fits larger organizations needing custom prompts, broader model coverage, APIs, integrations, SSO, and dedicated support [82]. Companies with complex JavaScript-heavy sites experiencing AI crawler rendering issues are a specific fit, because AXP addresses machine-readable content delivery at the edge [88]. Agencies managing AI visibility for multiple client brands are served by the agency plan structure with multi-client workspace management [91].
Teams that already have an in-house execution workflow and only need visibility dashboards are also a reasonable fit [93]. Scrunch is designed to work in parallel with traditional SEO tools rather than replace them, and teams often apply SEO data to inform prompt strategy [94].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Scrunch for Content Optimization Tools for Perplexity Visibility?
- Is Scrunch a good fit for a content team that needs automated rewrites and publishing?
Buyers wanting a standalone editorial optimization suite with deeply documented topical-completeness, fact-checking, entity, or readability workflows are not well served [95]. Content teams seeking automated content gap analysis and generation within a single platform will find an execution gap, because Scrunch identifies problems but does not solve them internally [96].
Small teams needing more than 125 prompts, more than five monthly site audits, multiple workspaces, or broad international coverage without moving to custom Enterprise terms will hit Core limits [95]. Mid-market teams without dedicated technical or DevOps resources to deploy AXP infrastructure are also a poor fit, because AXP deployment requires CDN or edge configuration and DNS layer management [99].
Budget-conscious buyers should note that Core at $250 per month is higher than some category alternatives, with one platform reporting Profound starting at $99 per month [101]. Buyers specifically requiring independently validated Perplexity ranking or citation-outcome guarantees should not expect them from Scrunch [95].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Scrunch for a buyer who needs integrated content generation and AI visibility tracking?
- When is a cheaper AI visibility tracker a better choice than Scrunch Core?
Several platform-reported alternatives address gaps Scrunch does not close. Buyers needing integrated content generation plus AI visibility tracking in a single platform may consider Profound, Rankability, or Surfer SEO [103]. Teams lacking technical resources to deploy edge infrastructure for AXP may prefer Rankability, Surfer, or the Semrush AI Visibility Toolkit [103].
Budget-conscious buyers seeking a tracking-only tool at a lower price point may consider Profound Starter at $99 per month, AthenaHQ, or Trakkr [106]. Buyers needing daily prompt updates and faster iteration cycles may prefer Profound, which one platform reported offers daily updates versus Scrunch's reported three-day cycle [107]. Companies requiring traditional SEO integration alongside Perplexity optimization in a single workflow may prefer Surfer SEO, Semrush, or Rankability [105].
Buyers needing dedicated Perplexity citation tracking may evaluate Botric, Visiby, or FogTrail [108]. Buyers needing automated AEO content optimization with CMS integration may evaluate Profound or Cognizo [104]. Buyers needing content gap analysis with automatic rewrites may evaluate Seology [112]. These alternatives are vendor-described or platform-reported and were not independently tested in this study.
For a broader view of how Scrunch compares with other tools evaluated for this use case, see the Content Optimization Tools for Perplexity Visibility consensus index.
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Scrunch before signing a contract?
- How can a buyer verify Scrunch's Perplexity coverage and data freshness before purchase?
Verify these items directly with the vendor, because the reviewed sources leave them unresolved:
- Does the proposed plan monitor Perplexity at the required country, language, prompt, persona, and refresh frequency [113]?
- Is a Starter plan available, and how does it differ from Core [113]?
- How are Perplexity citations collected, deduplicated, refreshed, and distinguished from references or links not actually used in the answer [116]?
- What exact recommendations or generated edits are included for topical completeness, factual clarity, source quality, and content structure [113]?
- What are the limits and prices for additional prompts, brands, users, workspaces, audits, countries, languages, and API responses [113]?
- Are Enterprise commitments annual, month-to-month, or otherwise subject to minimum terms [113]?
- Can the buyer export raw Perplexity responses, citations, historical data, and audit findings through the UI or API [121]?
- What is the exact production status and rollout timeline for AXP, and which CDN and DNS providers are fully supported [123]?
- How will the reported Sitecore acquisition affect pricing, feature roadmap, and independence of the self-serve product [125]?
- What independent customer evidence demonstrates improved Perplexity visibility or citation share attributable to Scrunch [115]?
Final AI Consensus Verdict
Scrunch is a good fit for Perplexity visibility monitoring and source-informed optimization, especially for brands that need citation, competitor, and AI-site-audit data in one platform. It is a mixed fit as a complete content optimization system, because the public evidence emphasizes measurement, diagnostics, and recommendations rather than a fully documented workflow for producing and validating improved content.
Fit ratings across the seven platforms were split: strong (grok), good (openai, perplexity), mixed (anthropic, google), and uncertain (deepseek, kimi). Only two platforms named Scrunch during ranking discovery, both at rank one. That agreement reflects repeated descriptions of the same vendor and third-party materials and does not prove product quality or Perplexity outcomes.
Core at $250 per month is the relevant entry plan for a single brand monitoring Perplexity. Larger or multi-brand buyers should request Enterprise pricing and validate optimization depth, data collection methodology, API costs, and contract terms. Buyers should treat Scrunch as a measurement and diagnostic platform first, not as a proven end-to-end content optimization or Perplexity-ranking solution.
How This Review Was Produced
This review was produced from a structured multi-platform research run dated 2026-09-19. Seven AI platforms evaluated Scrunch for fit against the use case "Content Optimization Tools for Perplexity Visibility": openai (gpt-5.6-luna), anthropic (claude-haiku-4-5-20251001), google (gemini-3.5-flash), grok (x-ai/grok-4.3), perplexity (perplexity/sonar), deepseek (deepseek-v4-flash), and kimi (moonshotai/kimi-k2.6). Six of the seven ran with search enabled; deepseek ran without search.
Each platform returned a fit rating, a direct answer, strengths, limitations, pricing and terms, use-case findings, and questions to verify before buying. Ranking statistics were computed from the platforms that named Scrunch during ranking discovery. Fit ratings and findings were then synthesized, with conflicts and uncertainties preserved rather than resolved by guessing.
All citations are platform-reported evidence, not independently verified facts. Company-owned sources are labeled as owned, and independent sources are labeled as independent. No personal testing, customer experience, or independent verification was performed for this review.
Methodology Limitations
Several limitations apply. Only 2 of the 7 included platforms named Scrunch during the ranking stage, so the ranking statistics rest on a small base. Platform-reported research dates differ from the authoritative run date: deepseek reported 2026-01-15, while the other six platforms reported 2026-09-19. Platform-reported dates are provenance metadata and do not independently prove freshness.
Official-site retrieval failed for at least one mention during ranking, and no failed fetch was used as a verified domain key. The supplied URLs were collected from platform responses and were not independently validated by the writer stage. The deterministic identity audit contains qualification notes that are disclosed where relevant, including the Starter tier conflict and the influencer-marketing versus AI-visibility identity conflict.
Pricing, API rates, annual discounts, overages, and Enterprise contract terms are not fully public. Claims about citation half-life, platform adoption, and optimization impact are Scrunch-reported unless separately attributed. Independent validation of product outcomes was not located. Citation analysis may be incomplete when source pages use JavaScript-only content, block bots, or have temporary retrieval errors. No claim in this review should be read as a guarantee of Perplexity ranking, citation, or visibility improvement.
Explore more ai seo content optimization guidance in the category directory.
Sources
Company-Owned Sources
- AI Search Optimization: Rank in ChatGPT, Perplexity, Claude, Gemini, and Grok | FogTrail: https://fogtrail.ai/ai-search-optimization
- Generative Engine Optimization Platform for Startups: https://mergeflo.com/generative-engine-optimization-platform
- Scrunch official website: https://scrunch.com/
- Why your competitors are winning in AI search (and how to fix it: https://scrunch.com/blog/2025-12-competitors-ai-search-citations
- 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
- AI search optimization for the enterprise - Scrunch: https://scrunch.com/enterprise/
- Can Scrunch identify where competitors are gaining visibility in AI search?: https://scrunch.com/faqs/can-scrunch-identify-where-competitors-are-gaining-visibility-in-ai-search
- 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
- FAQs - Pricing - Scrunch: https://scrunch.com/faqs/category/pricing/
- Does Scrunch help me prioritize citation sources?: https://scrunch.com/faqs/does-scrunch-help-me-prioritize-citation-sources
- Does Scrunch offer a free trial?: https://scrunch.com/faqs/does-scrunch-offer-a-free-trial
- FAQs - Does Scrunch track citation quality or just citation frequency?: https://scrunch.com/faqs/does-scrunch-track-citation-quality-or-just-citation-frequency/
- How does Scrunch’s AI site audit differ from a traditional SEO crawl?: https://scrunch.com/faqs/how-does-scrunch-ai-site-audit-differ-from-a-traditional-seo-crawl
- What APIs does Scrunch offer and how do they work?: https://scrunch.com/faqs/what-apis-does-scrunch-offer-and-how-do-they-work
- What does Scrunch track for AI visibility that traditional SEO tools don’t?: https://scrunch.com/faqs/what-does-scrunch-track-for-ai-visibility-that-traditional-seo-tools-dont
- What is the pricing for Scrunch plans?: https://scrunch.com/faqs/what-is-the-pricing-for-scrunch-plans
- Scrunch Labs: Citations: https://scrunch.com/labs/citation-dynamics/
- Scrunch Pricing: https://scrunch.com/pricing/
- AI Content Optimization for SEO & GEO: https://seology.ai/features/content-optimization
- AI Visibility Platform for ChatGPT, Perplexity & AI Overviews | Visiby: https://visiby.net/ai-visibility-platform
- Perplexity Visibility & Rank Tracker: Track Brand Mentions | Botric: https://www.botric.ai/ai-optimization/perplexity
- Content Optimization - Craft AI-optimized content in minutes: https://www.cognizo.ai/platform/content-optimization
- 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 evidence125 records
- AI research evidence record grok:web:2
- AI research evidence record grok:web:5
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c1
- AI research evidence record openai:c9
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:19-1
- AI research evidence record anthropic:21-3
- AI research evidence record google:1.2.3
- AI research evidence record anthropic:20-8
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c9
- AI research evidence record openai:c4
- AI research evidence record google:1.2.2
- AI research evidence record openai:c2
- AI research evidence record anthropic:20-1
- AI research evidence record perplexity:c2
- AI research evidence record grok:web:2
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c9
- AI research evidence record openai:c5
- AI research evidence record grok:web:5
- AI research evidence record openai:c6
- AI research evidence record anthropic:15-1
- AI research evidence record anthropic:14-8
- AI research evidence record google:1.2.1
- AI research evidence record google:1.2.4
- AI research evidence record grok:web:2
- AI research evidence record openai:c1
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:14-8
- AI research evidence record google:1.2.4
- AI research evidence record deepseek:c1
- AI research evidence record kimi:c1
- AI research evidence record google:1.1.4
- AI research evidence record google:1.2.2
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c5
- AI research evidence record perplexity:c6
- AI research evidence record anthropic:19-3
- AI research evidence record anthropic:31-8
- AI research evidence record anthropic:28-15
- AI research evidence record anthropic:10-2
- AI research evidence record anthropic:10-3
- AI research evidence record anthropic:14-15
- AI research evidence record anthropic:25-5
- AI research evidence record openai:c7
- AI research evidence record deepseek:c2
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record perplexity:c3
- AI research evidence record openai:c5
- AI research evidence record grok:web:5
- AI research evidence record openai:c6
- AI research evidence record openai:c1
- AI research evidence record anthropic:10-3
- AI research evidence record anthropic:14-15
- AI research evidence record grok:web:3
- AI research evidence record anthropic:14-4
- AI research evidence record anthropic:14-8
- AI research evidence record openai:c8
- AI research evidence record google:1.2.3
- AI research evidence record openai:c1
- AI research evidence record openai:c9
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:21-3
- AI research evidence record grok:web:2
- AI research evidence record anthropic:24-9
- AI research evidence record google:1.2.3
- AI research evidence record anthropic:19-1
- AI research evidence record google:1.2.5
- AI research evidence record openai:c8
- AI research evidence record openai:c10
- AI research evidence record google:1.2.2
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c5
- AI research evidence record perplexity:c6
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record perplexity:c9
- AI research evidence record anthropic:20-8
- AI research evidence record anthropic:10-3
- AI research evidence record anthropic:14-15
- AI research evidence record grok:web:3
- AI research evidence record anthropic:19-1
- AI research evidence record google:1.2.5
- AI research evidence record google:1.2.4
- AI research evidence record anthropic:33-2
- AI research evidence record openai:c1
- AI research evidence record anthropic:14-8
- AI research evidence record google:1.2.1
- AI research evidence record anthropic:21-3
- AI research evidence record anthropic:10-3
- AI research evidence record anthropic:14-15
- AI research evidence record anthropic:19-1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:35-1
- AI research evidence record kimi:c4
- AI research evidence record anthropic:32-3
- AI research evidence record anthropic:19-1
- AI research evidence record anthropic:19-3
- AI research evidence record kimi:c2
- AI research evidence record kimi:c3
- AI research evidence record kimi:c7
- AI research evidence record kimi:c8
- AI research evidence record kimi:c6
- AI research evidence record openai:c1
- AI research evidence record anthropic:19-3
- AI research evidence record deepseek:c1
- AI research evidence record openai:c3
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:14-8
- AI research evidence record anthropic:24-9
- AI research evidence record anthropic:19-1
- AI research evidence record openai:c8
- AI research evidence record google:1.2.3
- AI research evidence record anthropic:10-3
- AI research evidence record anthropic:14-15
- AI research evidence record anthropic:25-5
Independent Sources
- Scrunch vs Semrush: AI visibility or traditional SEO?: https://blog.hubspot.com/marketing/scrunch-vs-semrush
- My Scrunch AI Visibility Review (SaaS and B2B Tech Focus: https://generatemore.ai/blog/my-scrunch-ai-visibility-review-saas-and-b2b-tech-focus
- Scrunch AI Review (2026): Features, Pricing & Alternatives: https://geotoolbox.ai/blog/scrunch-ai-review
- Scrunch AI Review: Fix the Code, Win the Answer in 2026: https://getmint.ai/resources/scrunch-ai-review
- Scrunch AI Review: Features, Pricing, Pros, and Cons: https://indexly.ai/blog/scrunch-ai-review/
- Scrunch AI Review 2026: Pricing, Features, and Better Alternatives: https://pikaseo.com/blog/scrunch-ai-reviews
- Scrunch AI Review: Features Pricing and Alternative: https://surferseo.com/blog/scrunch-review/
- Scrunch Review: Features & Pricing + Best Alternative: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGzOi3Vk2T2YQO8HBiPj9OJIXfXGV5fTQt7qjt_d0Arbx7FWtKx3XZhI20loy7037iQlD6_N0JlcfrG2pNu5UZjak0FjEL5cOU5-Gjsd5jTRB6zD9rnx89fLbU_
- Scrunch AI Review 2026: Pricing Tiers, Features, and What: https://www.amicited.com/reviews/scrunch-ai-review/
- What Is Scrunch? AI Search, AEO & GEO Platform: https://www.ansvisor.com/ai-visibility-glossary/scrunch
- Scrunch — AI search visibility / AEO tool category coverage: https://www.g2.com/categories/answer-engine-optimization-aeo
- Scrunch AI G2 Product Profile: https://www.g2.com/products/scrunch-ai/discuss
- Scrunch Review & Pricing 2026: Now a Sitecore Company: https://www.get-ryze.ai/blog/scrunch-review-pricing-2026
- 8 best Scrunch AI alternatives for agencies (2026: https://www.rankability.com/blog/scrunch-ai-alternatives/
- Scrunch AI review for agencies (2026): is it worth it for client AI visibility?: https://www.rankability.com/blog/scrunch-ai-review/
- Enterprise AI Visibility Platforms: Scrunch AI, Profound & XFunnel Compared: https://www.searchinfluence.com/blog/enterprise-ai-seo-platform-comparison-2026/
- 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
- Scrunch AI Review: Can it compete with serious AI visibility tools?: https://www.tryprofound.com/blog/scrunch-ai-review
- How Scrunch Improves Your Brand’s AI Search Visibility: https://www.xcentium.com/blogs/how-scrunch-improves-your-brands-ai-search-visibility
Additional AI research evidence125 records
- AI research evidence record grok:web:2
- AI research evidence record grok:web:5
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c1
- AI research evidence record openai:c9
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:19-1
- AI research evidence record anthropic:21-3
- AI research evidence record google:1.2.3
- AI research evidence record anthropic:20-8
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c9
- AI research evidence record openai:c4
- AI research evidence record google:1.2.2
- AI research evidence record openai:c2
- AI research evidence record anthropic:20-1
- AI research evidence record perplexity:c2
- AI research evidence record grok:web:2
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c9
- AI research evidence record openai:c5
- AI research evidence record grok:web:5
- AI research evidence record openai:c6
- AI research evidence record anthropic:15-1
- AI research evidence record anthropic:14-8
- AI research evidence record google:1.2.1
- AI research evidence record google:1.2.4
- AI research evidence record grok:web:2
- AI research evidence record openai:c1
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:14-8
- AI research evidence record google:1.2.4
- AI research evidence record deepseek:c1
- AI research evidence record kimi:c1
- AI research evidence record google:1.1.4
- AI research evidence record google:1.2.2
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c5
- AI research evidence record perplexity:c6
- AI research evidence record anthropic:19-3
- AI research evidence record anthropic:31-8
- AI research evidence record anthropic:28-15
- AI research evidence record anthropic:10-2
- AI research evidence record anthropic:10-3
- AI research evidence record anthropic:14-15
- AI research evidence record anthropic:25-5
- AI research evidence record openai:c7
- AI research evidence record deepseek:c2
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record perplexity:c3
- AI research evidence record openai:c5
- AI research evidence record grok:web:5
- AI research evidence record openai:c6
- AI research evidence record openai:c1
- AI research evidence record anthropic:10-3
- AI research evidence record anthropic:14-15
- AI research evidence record grok:web:3
- AI research evidence record anthropic:14-4
- AI research evidence record anthropic:14-8
- AI research evidence record openai:c8
- AI research evidence record google:1.2.3
- AI research evidence record openai:c1
- AI research evidence record openai:c9
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:21-3
- AI research evidence record grok:web:2
- AI research evidence record anthropic:24-9
- AI research evidence record google:1.2.3
- AI research evidence record anthropic:19-1
- AI research evidence record google:1.2.5
- AI research evidence record openai:c8
- AI research evidence record openai:c10
- AI research evidence record google:1.2.2
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c5
- AI research evidence record perplexity:c6
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record perplexity:c9
- AI research evidence record anthropic:20-8
- AI research evidence record anthropic:10-3
- AI research evidence record anthropic:14-15
- AI research evidence record grok:web:3
- AI research evidence record anthropic:19-1
- AI research evidence record google:1.2.5
- AI research evidence record google:1.2.4
- AI research evidence record anthropic:33-2
- AI research evidence record openai:c1
- AI research evidence record anthropic:14-8
- AI research evidence record google:1.2.1
- AI research evidence record anthropic:21-3
- AI research evidence record anthropic:10-3
- AI research evidence record anthropic:14-15
- AI research evidence record anthropic:19-1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:35-1
- AI research evidence record kimi:c4
- AI research evidence record anthropic:32-3
- AI research evidence record anthropic:19-1
- AI research evidence record anthropic:19-3
- AI research evidence record kimi:c2
- AI research evidence record kimi:c3
- AI research evidence record kimi:c7
- AI research evidence record kimi:c8
- AI research evidence record kimi:c6
- AI research evidence record openai:c1
- AI research evidence record anthropic:19-3
- AI research evidence record deepseek:c1
- AI research evidence record openai:c3
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:14-8
- AI research evidence record anthropic:24-9
- AI research evidence record anthropic:19-1
- AI research evidence record openai:c8
- AI research evidence record google:1.2.3
- AI research evidence record anthropic:10-3
- AI research evidence record anthropic:14-15
- AI research evidence record anthropic:25-5
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
- 7
- Source records
- 49
- Ranking mentions
- 2 of 7
- Platform share
- 29%
- Final consensus rank
- #4
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
24 independent · 25 company-owned
Evidence support
45 direct · 3 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 e5b7742337fe7e2dbb43fbface665673f916ae5cf2c96ca3922941566d19e18d