Answer Capsule
Scrunch is a good-to-strong fit for companies that need AI citation intelligence focused on source and domain tracking. Two of the seven platforms in this study named Scrunch during the ranking stage, at an average listed rank of 2.5 and a best rank of 1. Its strongest case is direct domain- and URL-level citation records, competitor and third-party source classification, prompt-level segmentation, and time-series citation movement. The main limitation is that most capability detail comes from Scrunch's own documentation, with limited independent validation of accuracy, conflicting public pricing and trial terms, and unclear Enterprise commercial terms.
Research Snapshot
| Field | Value |
|---|---|
| Platform mentions in ranking stage | 2 of 7 platforms |
| Share of included platform responses | 28.6% |
| Average listed rank | 2.5 |
| Best listed rank | 1 |
| Relevant product/model/plan | Scrunch AI Monitoring & Citations; Core ($250/month) and Enterprise (custom pricing); free 7-day trial |
| Overall use-case fit | Good to strong (platform fit ratings ranged from uncertain to strong) |
| Research date | 2026-09-19 |
Why Scrunch Qualified for This Study
Questions This Section Answers
- Is Scrunch a good choice for AI Citation Intelligence Platforms for Source and Domain Tracking?
- How many AI platforms named Scrunch in the ranking stage for source and domain tracking?
Scrunch qualified because its marketed product maps directly to the study's four criteria: which domains and pages AI systems rely on, which sources support competitors, how citation patterns differ across platforms and prompts, and how those patterns change over time. Two of the seven included platforms named Scrunch during ranking discovery — OpenAI at rank 1 and Perplexity at rank 4 — producing a 28.6% mention share and an average listed rank of 2.5 [1].
The remaining five platforms evaluated Scrunch's fit without naming it in the ranking stage. Their fit ratings ranged from "uncertain" (Kimi) to "strong" (Google, Grok), which means the ranking-stage mention count understates how much of the panel engaged with the product. Scrunch's own materials describe domain- and URL-level citation tracking, owner classification, prompt-level analysis, filters, and time-series views [1]. Independent reviews and directories corroborate the general shape of those capabilities, including citation classification by ownership and an Influence Score for prioritization [4].
The Product, Model, Plan, or Service Most Relevant to AI Citation Intelligence Platforms for Source and Domain Tracking
Questions This Section Answers
- Which Scrunch plan is most relevant for tracking which domains and pages AI systems cite?
- Does Scrunch's Core plan include competitor source tracking and URL-level citation analysis?
The relevant offering is Scrunch AI Monitoring & Citations, sold on Core and Enterprise tiers for brands and on Agency Core and Agency Enterprise tiers for agencies [9]. Core is publicly listed at $250 per month and includes 125 unique prompts, five site audits per month, one brand workspace, five user licenses, and four listed LLMs [11]. Enterprise is custom-priced and positioned for expanded model coverage, API access, integrations, SSO, custom prompts, workspaces, users, and dedicated support [11].
For source and domain tracking specifically, the Citations product records cited URLs from tracked AI responses and presents citation data by domain or specific URL, including prompt counts, response counts, citation consistency, and Influence Score [13]. Scrunch states it records every URL cited by AI platforms and tracks citation quality and frequency at the domain or specific URL level [15]. The platform distinguishes brand, competitor, third-party, and social citations and identifies competitors mentioned in cited sources [13].
One caveat on product identity: Kimi's research described Scrunch primarily as an influencer marketing platform with AI monitoring as a secondary feature, and could not verify dedicated citation-source tracking from public documentation [20]. That characterization conflicts with the other six platforms' findings and with Scrunch's own product pages. Buyers should treat the product scope as confirmed by six platforms and disputed by one.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Scrunch does well for domain and URL citation tracking?
- Does Scrunch classify cited sources by owner, such as competitor and third-party pages?
Agreement was strong, though not unanimous, on four capabilities.
Domain- and URL-level citation records. Six platforms described Scrunch as capturing cited URLs and presenting them by domain or specific URL [21]. Independent directories confirm citations can be analyzed by domain or individual URL [31].
Source ownership classification. Scrunch classifies citations as owned, competitor, or third-party [32]. Perplexity's research adds that Scrunch reports citation share by owner and top cited domains [35].
Competitor and third-party source analysis. Multiple platforms found that Scrunch shows which domains and pages shape tracked AI answers and which competitors appear in cited sources [21].
Time-series citation movement. Scrunch tracks which sources are gaining or losing visibility in AI answers, with week-over-week URL-level trends and source changes over time [21].
Prioritization metrics. Scrunch uses Influence Score and citation consistency to prioritize sources cited across more responses and prompts [22].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- How often does Scrunch refresh citation data, and do independent reviews agree with Scrunch's stated schedule?
- Is Scrunch's citation-tracking accuracy independently verified?
Data refresh frequency. Scrunch documentation states data refreshes every three days as standard, with newer prompts within 14 days updating daily, and users can trigger instant collection [45]. One Scrunch source describes run-cycles "typically every other day per prompt" [46]. Independent reviews conflict: one reports weekly refresh in practice [47], another says Scrunch does not state how often it updates prompt data [48], and a third describes refreshes roughly every few days [49]. The actual cadence may depend on plan tier or feature, and buyers should confirm it in writing.
Modeled prompts versus real user sessions. Scrunch converts keywords into modeled prompts and runs them on a schedule rather than collecting prompts from real LLM user sessions [50]. This is a structural limitation for buyers who want to track actual buyer questions.
Independent verification. No independent benchmark, third-party audit, or review of Scrunch's citation-detection accuracy was located during research [53]. Capability claims rest primarily on vendor documentation. Scrunch does hold a SOC 2 Type II audit completed by an independent third party [54], which addresses security controls, not measurement accuracy.
Pricing and plan naming. Public pricing is inconsistent. One Scrunch FAQ lists Core at $250/month, Agency Core at $500/month, and Enterprise custom [55]. Perplexity's research found additional figures — Growth at $417/month billed annually and a reported $300 Starter month-to-month — that Scrunch does not consistently confirm [57]. Google's research found Core at $250/month billed annually or $300 month-to-month, and Growth at $417/month annually or $500 month-to-month [58]. One independent review reports a $300/month figure [50]. Plan labels also vary across pages: Starter, Explorer, Core, Growth, and brand/agency naming appear inconsistently [57].
Trial terms. One public FAQ says the trial upgrades automatically unless canceled; another says no credit card is required [59]. Google's research reports a 7-day Core trial without a credit card [60].
Prompt-credit mechanics. One review states 350 custom prompts become roughly 87 at four-engine coverage because multi-engine tracking counts as separate prompts [49]. Scrunch documentation does not explicitly confirm this mechanic.
Enterprise terms. Enterprise pricing, prompt limits, overages, data retention, export limits, and service-level commitments are not publicly specified [61].
Corporate ownership. Scrunch was acquired by Sitecore in June 2026 [62]. Most public reviews predate the acquisition, and its effect on pricing, roadmap, or commercial strategy is unclear.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- What citation filters does Scrunch offer for segmenting sources by platform, persona, and funnel stage?
- Can Scrunch export raw citation data and source URLs, and on which plan?
Scrunch supports filters by platform, prompt, topic, persona, funnel stage, country, branded/non-branded query type, and citation owner [63]. Published plan information lists four supported LLMs for Core and nine for Enterprise [64]. The nine Enterprise engines are ChatGPT, Claude, Perplexity, Gemini, Meta AI, Google AI Overviews, Google AI Mode, Microsoft Copilot, and Grok [65]. Independent reviews confirm the four-engine Core and nine-engine Enterprise split [66].
Data collection uses browser automation and official platform APIs, with platform-specific collection methods and a continually updated response dataset [70]. Scrunch warns that JavaScript-only content, bot blocking, and temporary retrieval errors may prevent it from identifying brand presence within cited pages [72].
API access includes a Query API for aggregated metrics on brand presence, sentiment, and citations, and a Responses API for raw AI responses with full text and citation URLs [73]. Developer documentation defines source_domain and domain rollups for citation source aggregation [76]. Looker Studio integration is available on Agency Core and Enterprise tiers [77].
GA4 integration for AI referral traffic and bot traffic monitoring is described as a differentiator [78]. Independent reviews note that Scrunch identifies citation gaps but does not include built-in content creation, schema optimization, or remediation workflows [80].
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 cancellation, renewal, and overage terms for Core and Enterprise plans?
Published pricing centers on Core at $250 per month, with Agency Core at $500 per month and Enterprise custom [84]. Google's research reports Core at $250/month billed annually ($3,000 total) or $300/month month-to-month, and Growth at $417/month billed annually or $500/month month-to-month [87]. Perplexity's research found Growth at $417/month billed annually and a reported $300 Starter month-to-month that Scrunch does not confirm [88]. A 7-day free trial is documented [89].
No separately itemized fees for API access, integrations, additional prompts, workspaces, users, or expanded model coverage were found in the reviewed public pricing material, and potential implementation, support, or integration costs are unclear [86]. Public pricing reviewed did not specify annual discounts, minimum contract duration, cancellation notice, refund terms, overage pricing, or renewal mechanics [86]. One G2 review reports contract terms shifted during Enterprise negotiation [92]. Scrunch's terms of use include binding arbitration with a class-action waiver and jury-trial waiver, and cap total liability at the greater of fees paid in the prior 12 months or $1,000 (official:C3).
Best Suited For
Questions This Section Answers
- Who gets the most value from Scrunch for AI citation source and domain tracking?
- Is Scrunch a good fit for agencies managing citation tracking across multiple client brands?
Scrunch fits marketing, SEO, and digital strategy teams that need to track which domains and pages influence AI answers and compare their citations with competitor and third-party sources across multiple AI platforms [93]. It also fits organizations needing filters by prompt, topic, persona, funnel stage, country, citation owner, and AI platform [93].
Agencies managing multiple brands are a documented fit through the Agency Core and Agency Enterprise tiers [97]. Enterprise buyers requiring expanded model coverage, API access, integrations, SSO, workspaces, users, and dedicated support are the target for the Enterprise plan [96]. Teams with existing Google Analytics 4 infrastructure may benefit from the GA4 integration for connecting AI crawler behavior to referral traffic [99]. Organizations with enterprise security requirements can point to Scrunch's SOC 2 Type II audit [101].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Scrunch for AI citation intelligence?
- Is Scrunch suitable for buyers who need real-time or hourly citation data?
Buyers seeking fully transparent, independently audited measurement of every AI platform response are not well served, because no independent accuracy benchmark was located [102]. Small teams needing more than Core's published 125 unique prompts without accepting custom enterprise pricing face a capacity ceiling [104]. Teams needing guaranteed access to citation content when source pages use JavaScript-only rendering, bot blocking, or are temporarily inaccessible should note Scrunch's own documented retrieval gaps [105].
Cost-sensitive small teams and freelancers may find the $250/month entry point high relative to monitoring-only tools. Teams requiring real-time or sub-daily citation data will find the standard three-day refresh slower than daily or real-time competitors [106]. Buyers needing complete multi-engine coverage immediately on a self-serve plan face the four-of-nine Core limitation [108]. Organizations requiring end-to-end content optimization will not get built-in content creation, schema optimization, or remediation workflows [111]. Teams prioritizing tracking of actual user search prompts should note the modeled-prompt approach [115].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Scrunch for a buyer who needs real-time citation refresh?
- Which alternative suits a buyer who needs page-level URL tracking with 404 and render monitoring?
Real-time or sub-daily refresh requirements point to alternatives offering real-time or hourly refresh, since Scrunch's standard is three days [117]. Buyers needing complete multi-engine coverage immediately on a self-serve plan should compare alternatives with broader baseline coverage, because Core covers four of nine engines [119]. Cost-constrained buyers may prefer lighter single-engine monitoring tools or flat-rate alternatives at lower price points.
Buyers needing page-level URL tracking with 404 and render monitoring may prefer Truffle or Vercite, which explicitly offer this [122]. Buyers needing competitor citation gap identification may prefer Cited's Source Intelligence or Vercite, which document gap workflows [124]. Buyers needing the lowest-cost entry point may prefer Cite AI, which starts at $19/month with all six engines [125]. Buyers requiring platform-specific source mix analysis may prefer Cited, which explicitly differentiates per-engine source behavior [124]. Buyers who need custom sampling, raw-response ownership, or unsupported AI platforms may prefer direct API or research workflows [126].
Questions to Verify Before Buying
Which exact AI platforms, model versions, search modes, and geographic or localization settings are included in the quoted plan [127]? Are citation results based on live production responses, controlled browser sessions, APIs, or a mixture for each platform [127]? What are the prompt, response-refresh, historical-retention, export, API, and rate limits [127]? What are the prices for additional prompts, users, workspaces, audits, API usage, integrations, and expanded model coverage [127]? Are annual commitments required for Enterprise, and what are the cancellation, renewal, refund, and notice terms [127]? What service-level commitments apply to data freshness, platform outages, missing citations, and support response times [127]? How does Scrunch handle JavaScript-rendered, paywalled, robots-restricted, redirected, deleted, or region-specific source pages [128]? Can the buyer export raw citations, source URLs, response text, timestamps, prompt variants, and platform metadata [129]? Can Scrunch demonstrate historical citation-change accuracy on the buyer's own prompts and competitors before purchase [127]? Which plan name is current for the buyer's use case — Starter, Explorer, Core, Growth, or Enterprise [130]? Does the 7-day trial require a credit card and auto-renew unless canceled [131]? When will the Agent Experience Platform be generally available, and will it be included or billed separately ?
Final AI Consensus Verdict
Scrunch is a good-to-strong fit for AI citation intelligence focused on source and domain tracking. Two of seven platforms named it in the ranking stage, and the full panel's fit ratings ranged from uncertain to strong. The strongest case is direct domain- and URL-level citation records, owner classification, competitor and third-party source analysis, prompt-level segmentation, and time-series citation movement. The main purchase risks are limited independent validation of measurement accuracy, conflicting public pricing and trial terms, unclear Enterprise commercial terms, documentation lag after product updates, and possible source-content retrieval gaps. Buyers should verify refresh cadence, engine coverage by tier, prompt-credit mechanics, export and API access, and cancellation terms before committing.
How This Review Was Produced
This review evaluates Scrunch only for AI Citation Intelligence Platforms for Source and Domain Tracking. It draws on fit-research responses from seven AI platforms — OpenAI, Anthropic, Google, Grok, Perplexity, DeepSeek, and Kimi — collected for a study dated 2026-09-19. Two of those platforms named Scrunch during ranking discovery; all seven evaluated its fit. Platform fit ratings were: strong (OpenAI, Google, Grok), good (Anthropic, DeepSeek, Perplexity), and uncertain (Kimi). Company-owned citations materially outnumber independent citations in the supplied evidence, so vendor claims are labeled as such rather than presented as independently verified. No personal testing, customer experience, or independent verification was performed.
Methodology Limitations
Platform-reported research dates differ from the authoritative run date of 2026-09-19; DeepSeek's research is dated 2026-02-14. Platform-reported dates are provenance metadata and do not independently prove freshness. The supplied URLs were collected from platform responses and were not independently validated. Citations are platform-reported evidence, not independently verified facts. No-search model claims require explicit verification before being described as current facts. Company-owned citations materially outnumber independent citations, so company claims should not be read as independently verified. Conflicting product names, pricing, and capabilities were described rather than resolved. The ranking-stage mention count reflects only platforms that named Scrunch during discovery, not the full panel that evaluated fit. Scrunch's own guides state that some documentation may not match the current product after recent updates [132]. Measurement is based on tracked prompts and collected responses and should not be interpreted as a complete census of all AI answers or user journeys [132].
Explore more ai visibility llm monitoring guidance in the category directory.
Sources
Company-Owned Sources
- Query API: Aggregated AI Visibility Metrics: https://developers.scrunch.com/api-reference/query/overview
- Truffle - AI Citation Tracking: Sources ChatGPT, Perplexity Cite: https://runtruffle.com/features/citation-tracking
- Scrunch AI - AI Search Visibility Platform: https://scrunch.com/
- AI search optimization for the enterprise: https://scrunch.com/enterprise/
- 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 help me prioritize citation sources?: https://scrunch.com/faqs/does-scrunch-help-me-prioritize-citation-sources
- FAQs - Does Scrunch track citation quality or just citation frequency?: https://scrunch.com/faqs/does-scrunch-track-citation-quality-or-just-citation-frequency
- Scrunch | FAQs - What is the pricing for Scrunch plans?: https://scrunch.com/faqs/what-is-the-pricing-for-scrunch-plans
- What methods does Scrunch use to collect data from AI platforms?: https://scrunch.com/faqs/what-methods-does-scrunch-use-to-collect-data-from-ai-platforms
- What products does Scrunch offer for AI search optimization?: https://scrunch.com/faqs/what-products-does-scrunch-offer-for-ai-search-optimization
- Scrunch | Scrunch AI: https://scrunch.com/get-started/
- How-to guides - Citation tracking - Scrunch: https://scrunch.com/how-tos/category/citation-tracking/
- How to track citations in AI search: https://scrunch.com/how-tos/how-to-track-citations-in-ai-search/
- Monitoring for AI Search: Citations: https://scrunch.com/platform/monitoring/citations/
- Scrunch Pricing: https://scrunch.com/pricing/
- Cite AI - See Which Businesses AI Recommends in Your Market: https://usecite.ai/
- Vercite - AI Citation Tracking: See Every Cited Source: https://vercite.io/features/citation-tracking
- Cited | AI Search Optimization Platform - Source Intelligence Features: https://www.getcited.in/features/source-intelligence
- Official pricing and terms source: https://scrunch.com/terms/
Additional AI research evidence132 records
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:27-7
- AI research evidence record anthropic:27-8
- AI research evidence record anthropic:27-9
- AI research evidence record anthropic:27-10
- AI research evidence record anthropic:27-12
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:10-2
- AI research evidence record openai:c3
- AI research evidence record anthropic:10-14
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record perplexity:c14
- AI research evidence record grok:14
- AI research evidence record anthropic:27-8
- AI research evidence record anthropic:27-9
- AI research evidence record anthropic:27-10
- AI research evidence record kimi:scrunch_main
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:4-1
- AI research evidence record anthropic:4-2
- AI research evidence record perplexity:c5
- AI research evidence record perplexity:c14
- AI research evidence record grok:11
- AI research evidence record grok:12
- AI research evidence record google:1.1.2
- AI research evidence record google:1.1.4
- AI research evidence record anthropic:27-7
- AI research evidence record anthropic:27-8
- AI research evidence record anthropic:27-9
- AI research evidence record anthropic:27-10
- AI research evidence record perplexity:c8
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:8-5
- AI research evidence record grok:5
- AI research evidence record anthropic:4-6
- AI research evidence record openai:c4
- AI research evidence record anthropic:27-12
- AI research evidence record google:1.1.1
- AI research evidence record google:1.4.2
- AI research evidence record anthropic:8-4
- AI research evidence record google:1.4.8
- AI research evidence record anthropic:37-2
- AI research evidence record anthropic:37-1
- AI research evidence record anthropic:45-2
- AI research evidence record anthropic:33-6
- AI research evidence record anthropic:33-7
- AI research evidence record anthropic:40-1
- AI research evidence record deepseek:c2
- AI research evidence record anthropic:1-18
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:10-2
- AI research evidence record perplexity:c15
- AI research evidence record google:2.3.5
- AI research evidence record perplexity:c6
- AI research evidence record google:2.3.2
- AI research evidence record openai:c3
- AI research evidence record google:1.1.8
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:10-14
- AI research evidence record anthropic:45-11
- AI research evidence record anthropic:45-12
- AI research evidence record grok:3
- AI research evidence record grok:9
- AI research evidence record openai:c5
- AI research evidence record anthropic:1-14
- AI research evidence record openai:c6
- AI research evidence record anthropic:1-15
- AI research evidence record anthropic:1-16
- AI research evidence record anthropic:1-17
- AI research evidence record perplexity:c10
- AI research evidence record anthropic:40-9
- AI research evidence record google:1.1.6
- AI research evidence record anthropic:35-6
- AI research evidence record anthropic:37-13
- AI research evidence record anthropic:37-14
- AI research evidence record anthropic:40-8
- AI research evidence record anthropic:42-7
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:10-2
- AI research evidence record openai:c3
- AI research evidence record google:2.3.5
- AI research evidence record perplexity:c15
- AI research evidence record anthropic:3-7
- AI research evidence record perplexity:c2
- AI research evidence record grok:1
- AI research evidence record anthropic:35-6
- AI research evidence record openai:c1
- AI research evidence record anthropic:4-1
- AI research evidence record anthropic:4-2
- AI research evidence record openai:c3
- AI research evidence record anthropic:10-2
- AI research evidence record anthropic:10-14
- AI research evidence record google:1.1.6
- AI research evidence record anthropic:35-6
- AI research evidence record anthropic:1-18
- AI research evidence record deepseek:c2
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record openai:c6
- AI research evidence record anthropic:8-4
- AI research evidence record anthropic:40-1
- AI research evidence record anthropic:10-14
- AI research evidence record anthropic:45-11
- AI research evidence record anthropic:45-12
- AI research evidence record anthropic:37-13
- AI research evidence record anthropic:37-14
- AI research evidence record anthropic:40-8
- AI research evidence record anthropic:42-7
- AI research evidence record anthropic:33-6
- AI research evidence record anthropic:33-7
- AI research evidence record anthropic:8-4
- AI research evidence record anthropic:40-1
- AI research evidence record anthropic:10-14
- AI research evidence record anthropic:45-11
- AI research evidence record anthropic:45-12
- AI research evidence record kimi:truffle_citation
- AI research evidence record kimi:vercite_citation
- AI research evidence record kimi:cited_source_intel
- AI research evidence record kimi:usecite_ai
- AI research evidence record openai:c1
- AI research evidence record openai:c1
- AI research evidence record openai:c6
- AI research evidence record anthropic:1-17
- AI research evidence record perplexity:c15
- AI research evidence record perplexity:c6
- AI research evidence record openai:c1
Independent Sources
- AI citation tracking tools to monitor and increase visibility - HubSpot Blog: https://blog.hubspot.com/
- Scrunch AI Review 2026: Brand vs Agency Plans - Dageno AI: https://dagenoai.com/
- 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: 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: Is it Worth the Investment? - Radarkit: https://radarkit.ai/blog/scrunch-ai-review/
- Scrunch review - citations, AXP and AI monitoring - Reputation Insider: https://reputationinsider.com/
- Scrunch Review & Pricing 2026: Now a Sitecore Company - Ryze AI: https://ryzeai.com/
- Scrunch AI - Pricing: https://scrunchai.xyz/pricing/index.html
- 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 - Ansvisor: https://www.ansvisor.com/ai-visibility-glossary/scrunch
- Scrunch AI Pricing 2026: https://www.g2.com/products/scrunch-ai/pricing
- Scrunch AI Reviews 2026: Details, Pricing, & Features | G2: https://www.g2.com/products/scrunch-ai/reviews
- Scrunch AI Review: Fix the Code, Win the Answer in 2026: https://www.getmint.ai/blog/scrunch-ai-review
- 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: 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
Additional AI research evidence132 records
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:27-7
- AI research evidence record anthropic:27-8
- AI research evidence record anthropic:27-9
- AI research evidence record anthropic:27-10
- AI research evidence record anthropic:27-12
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:10-2
- AI research evidence record openai:c3
- AI research evidence record anthropic:10-14
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record perplexity:c14
- AI research evidence record grok:14
- AI research evidence record anthropic:27-8
- AI research evidence record anthropic:27-9
- AI research evidence record anthropic:27-10
- AI research evidence record kimi:scrunch_main
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:4-1
- AI research evidence record anthropic:4-2
- AI research evidence record perplexity:c5
- AI research evidence record perplexity:c14
- AI research evidence record grok:11
- AI research evidence record grok:12
- AI research evidence record google:1.1.2
- AI research evidence record google:1.1.4
- AI research evidence record anthropic:27-7
- AI research evidence record anthropic:27-8
- AI research evidence record anthropic:27-9
- AI research evidence record anthropic:27-10
- AI research evidence record perplexity:c8
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:8-5
- AI research evidence record grok:5
- AI research evidence record anthropic:4-6
- AI research evidence record openai:c4
- AI research evidence record anthropic:27-12
- AI research evidence record google:1.1.1
- AI research evidence record google:1.4.2
- AI research evidence record anthropic:8-4
- AI research evidence record google:1.4.8
- AI research evidence record anthropic:37-2
- AI research evidence record anthropic:37-1
- AI research evidence record anthropic:45-2
- AI research evidence record anthropic:33-6
- AI research evidence record anthropic:33-7
- AI research evidence record anthropic:40-1
- AI research evidence record deepseek:c2
- AI research evidence record anthropic:1-18
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:10-2
- AI research evidence record perplexity:c15
- AI research evidence record google:2.3.5
- AI research evidence record perplexity:c6
- AI research evidence record google:2.3.2
- AI research evidence record openai:c3
- AI research evidence record google:1.1.8
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:10-14
- AI research evidence record anthropic:45-11
- AI research evidence record anthropic:45-12
- AI research evidence record grok:3
- AI research evidence record grok:9
- AI research evidence record openai:c5
- AI research evidence record anthropic:1-14
- AI research evidence record openai:c6
- AI research evidence record anthropic:1-15
- AI research evidence record anthropic:1-16
- AI research evidence record anthropic:1-17
- AI research evidence record perplexity:c10
- AI research evidence record anthropic:40-9
- AI research evidence record google:1.1.6
- AI research evidence record anthropic:35-6
- AI research evidence record anthropic:37-13
- AI research evidence record anthropic:37-14
- AI research evidence record anthropic:40-8
- AI research evidence record anthropic:42-7
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:10-2
- AI research evidence record openai:c3
- AI research evidence record google:2.3.5
- AI research evidence record perplexity:c15
- AI research evidence record anthropic:3-7
- AI research evidence record perplexity:c2
- AI research evidence record grok:1
- AI research evidence record anthropic:35-6
- AI research evidence record openai:c1
- AI research evidence record anthropic:4-1
- AI research evidence record anthropic:4-2
- AI research evidence record openai:c3
- AI research evidence record anthropic:10-2
- AI research evidence record anthropic:10-14
- AI research evidence record google:1.1.6
- AI research evidence record anthropic:35-6
- AI research evidence record anthropic:1-18
- AI research evidence record deepseek:c2
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record openai:c6
- AI research evidence record anthropic:8-4
- AI research evidence record anthropic:40-1
- AI research evidence record anthropic:10-14
- AI research evidence record anthropic:45-11
- AI research evidence record anthropic:45-12
- AI research evidence record anthropic:37-13
- AI research evidence record anthropic:37-14
- AI research evidence record anthropic:40-8
- AI research evidence record anthropic:42-7
- AI research evidence record anthropic:33-6
- AI research evidence record anthropic:33-7
- AI research evidence record anthropic:8-4
- AI research evidence record anthropic:40-1
- AI research evidence record anthropic:10-14
- AI research evidence record anthropic:45-11
- AI research evidence record anthropic:45-12
- AI research evidence record kimi:truffle_citation
- AI research evidence record kimi:vercite_citation
- AI research evidence record kimi:cited_source_intel
- AI research evidence record kimi:usecite_ai
- AI research evidence record openai:c1
- AI research evidence record openai:c1
- AI research evidence record openai:c6
- AI research evidence record anthropic:1-17
- AI research evidence record perplexity:c15
- AI research evidence record perplexity:c6
- AI research evidence record openai:c1
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
- 38
- Ranking mentions
- 2 of 7
- Platform share
- 29%
- Final consensus rank
- #6
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
17 independent · 21 company-owned
Evidence support
34 direct · 4 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 453c96429f65c156d8bae9608a6b4274b8751e8c1550241df15576e8fafc98f3