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AI Consensus Fit Review

Yotpo Discover AI SEO Tool Fit Review for Ecommerce Brands

Yotpo Discover is a good fit for established US ecommerce brands — roughly $10 million or more in annual GMV — that want commerce-native AI visibility tracking plus automated content, onsite, and activation workflows.

Research: 2026-09-187 usable platform responsesRead the methodology ↗

Answer Capsule

Yotpo Discover is a good fit for established US ecommerce brands — roughly $10 million or more in annual GMV — that want commerce-native AI visibility tracking plus automated content, onsite, and activation workflows. Three of seven platforms named it during ranking discovery (google, grok, kimi), at an average listed rank of 3.0 and a best rank of 2. The strongest reason to consider it is its catalog- and review-native architecture: SKU-level visibility measurement across ChatGPT, Gemini, and Google AI Mode paired with three action agents. The main limitation is access and transparency: a stated $10M+ GMV gate, early-access framing, and no published pricing. Two platforms could not verify the product at all.

Research Snapshot

FieldFinding
Platform mentions in ranking stage3 of 7 platforms (google, grok, kimi)
Share of included platform responses42.9%
Average listed rank3.0
Best listed rank2 (grok)
Relevant product/model/planYotpo Discover AI Visibility Automation Platform, including Content Agent, Onsite Agent, Activation Agent, and AI visibility tracking
Overall use-case fitStrong (1 platform); Good (4 platforms); Uncertain (2 platforms) — 7 platforms analyzed
Research date2026-09-18

Why Yotpo Discover Qualified for This Study

Questions This Section Answers

  • Is Yotpo Discover a good choice for AI SEO Tools for Ecommerce Brands?
  • How many AI platforms actually named Yotpo Discover during ranking discovery?

Yotpo Discover qualified because three of seven platforms named it during ranking discovery, at an average listed rank of 3.0 and a best rank of 2 [1]. It cleared the study's two-mention minimum and was the only entity in this review whose ranking-stage label was explicitly commerce-native — "Commerce-Native AI Visibility Platform" — rather than a general SEO suite.

Qualification is not the same as consensus. Four platforms (openai, anthropic, perplexity, deepseek) evaluated fit without naming it in the ranking stage, and two of those — deepseek and kimi — could not confirm the product exists as a distinct, documented offering at all [4]. That split is the central finding of this review and is carried through every section below.

The ranking-stage evidence itself is thin in places. Kimi's own notes state that searches for "Yotpo Discover" and "Yotpo AI SEO" did not return product pages matching the recommended description, and that Yotpo's site promoted Reviews, Loyalty, SMS & Email, and Subscriptions without a prominently featured Discover product [3]. Deepseek, which ran without search enabled, reached a similar conclusion from a different method [4]. Buyers should treat the product's existence as confirmed by Yotpo's own pages but its general availability as unconfirmed.

The Product, Model, Plan, or Service Most Relevant to AI SEO Tools for Ecommerce Brands

Questions This Section Answers

  • Which Yotpo Discover plan or module is the right one for an ecommerce brand optimizing product and category pages for AI search?
  • Does Yotpo Discover replace a traditional SEO tool for an ecommerce brand, or does it work alongside one?

The relevant offering is Yotpo Discover, marketed under overlapping labels including AI Visibility Automation Platform, AI Visibility Optimization Platform, AI Search Visibility and Optimization Platform, and AI SEO Software for Ecommerce [6]. The reviewed materials appear to describe one product family, but exact packaging is unclear and buyers should confirm which label maps to which contract.

Functionally, Discover pairs measurement with execution. Measurement covers brand and product presence across ChatGPT, Gemini, Google AI Mode, and on-site AI assistants [10]. Execution runs through three named agents: Onsite Agent for technical and structural AI-readiness fixes, Content Agent for SEO-ready pages built from reviews and UGC, and Activation Agent for off-site community and reviewer engagement [11].

Discover is explicitly positioned as a complement to traditional SEO, not a replacement. Yotpo states it performs best next to SEO tools and agencies [15], and independent commentary notes Yotpo advises brands to continue traditional SEO work and that Discover includes no PR or link-building program [16]. Yotpo also differentiates Discover from Semrush, Ahrefs, Surfer, and Screaming Frog on the grounds that it focuses exclusively on AI visibility and action agents rather than keyword research, backlink analysis, or technical audits [18].

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Yotpo Discover does well for ecommerce AI search visibility?
  • Which AI engines does Yotpo Discover track, according to the platforms that reviewed it?

Agreement was strong but not unanimous, and it rests heavily on company-owned sources. Across the platforms that engaged with the product, four findings recurred.

Commerce-native architecture. Discover is built around SKU-level catalog data, product categories, buyer behavior, reviews, loyalty, and UGC rather than generic keyword data [19]. Google's response described it as architected around structured commerce catalogs and product datasets, avoiding generic keyword advice [23].

Competitive research beyond traditional radar. Discover identifies competitors appearing in AI answers, including brands outside a buyer's usual SEO set, and shows what drives their rankings [24]. Google's response described funnel-stage coverage across awareness, consideration, and decision, showing which competitors surface instead of the brand [25].

Automated execution, not just reporting. The three-agent model was described consistently across openai, anthropic, grok, and google [19]. Grok characterized the agents as executing optimizations continuously [27].

Review and UGC data as the signal layer. Discover runs on reviews, loyalty signals, and UGC, and Yotpo states this foundation helps LLMs trust and cite brand content [30]. Yotpo's separate LLM Crawlability documentation shows review content can be exposed in initial product-page HTML for supported platforms — while explicitly stating that AI crawling, indexing, retrieval, and inclusion are not deterministic [32].

That last point is the most important qualifier in this section. No platform claimed Discover guarantees AI citations, rankings, or conversions, and Yotpo's own documentation says the opposite.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Why could some AI platforms not verify that Yotpo Discover exists as a distinct AI SEO product?
  • Is Yotpo Discover generally available in 2026, or is it still in early access?

The disagreement here is not about quality. It is about whether the product can be verified at all.

Two platforms could not confirm the product. Deepseek, which ran without search enabled, stated that no independently verifiable public documentation confirming a distinct "Yotpo Discover" AI SEO product with content optimization, competitive research, and topic analysis was located, and rated fit as uncertain [33]. Kimi, which did run search, reported that searches for "Yotpo Discover" and "Yotpo AI SEO" did not return product pages matching the recommended description, and that the recommended product names could not be independently verified [34]. Kimi also raised the possibility that Discover is an internal name, upcoming release, region-restricted, or sales-contact-gated [34].

Availability status is described inconsistently. Yotpo materials describe a first release targeting brands at $10M+ annual GMV with a waitlist for smaller brands [35]. Independent commentary describes Discover as in Early Access, sales-gated, with no published pricing [38]. Whether the product is beta, limited availability, or generally available as of September 2026 was not resolved by any platform.

Pricing transparency is contested in framing, not in substance. Yotpo's own pricing page shows custom pricing that scales with catalog breadth, markets targeted, and optimization depth [40]. Yotpo's bundle page states Discover is priced separately and custom-quoted even when bundled with other products [42]. Third-party commentary characterizes this as "no published pricing" [43]. The practical outcome is the same — quote-based — but the characterization differs.

Performance evidence is company-controlled. Yotpo publishes customer-reported examples, but the public pages do not provide independent validation, methodology, sample sizes, or controlled comparisons [45]. One platform noted that search results contain platform testimonials but lack published case studies with quantified financial outcomes linking visibility gains to revenue or conversion impact [46]. These figures should be treated as platform-reported.

Feature boundaries are unclear. Public information does not clearly separate the "AI Search Content Optimization Tool" from the broader Discover platform [47]. Perplexity also noted that public pages do not detail topic-clustering, keyword mapping, workflow automation, or multi-user governance features [41].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Yotpo Discover handle SKU-level AI visibility tracking for large product catalogs?
  • What integrations does Yotpo Discover support for Shopify, Adobe Commerce, and BigCommerce brands?

Content optimization. The Content Agent produces SEO-ready content using reviews, UGC, catalog data, and shopper language to identify and address AI-visibility gaps [50]. Grok's response specified review-backed blog content and buying guides generated from real reviews and order data [53]. The public materials do not establish the full editorial workflow, approval controls, or output-quality safeguards [50].

Competitive research. Discover tracks product and brand presence, share of voice, and competitors appearing in AI answers, including competitors outside a brand's usual SEO set [50]. Competitive field analysis is built around the buyer's specific catalog and categories rather than generic keywords [56].

Topic and prompt analysis. Yotpo describes structured prompts across AI environments, funnel-stage analysis, configurable prompts, and shopper-language inputs derived from commerce interactions, reviews, and Q&A signals [50]. Discover shows the exact prompts shoppers use and pinpoints visibility gaps by product, category, and region [57].

Scalable workflows. The platform is positioned around catalog synchronization, product/category/persona prioritization, automated onsite changes, content production, and activation of review and loyalty communities [50]. Agents work at SKU level, and the platform is described as designed for 200–2,000+ SKU catalogs with per-product, per-category, and per-region tracking [59].

Commerce integrations. Supported environments publicly include Shopify, Salesforce Commerce, Adobe Commerce, and BigCommerce [50]. Brands already running Yotpo Reviews have catalog and tracking in place for immediate deployment [63].

Support model. Every Discover customer receives a dedicated AEO consultant from Yotpo's Customer Success team, and the platform is designed to pair with AEO agencies as a shared hub [64].

A hard capability limit. Discover includes no PR, link building, or broader authority program [66]. The Activation Agent taps reviewers and loyalty communities across Reddit, retail marketplaces, and expert publisher sites [67], but that is community activation, not earned-media outreach.

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Yotpo Discover cost per month, and is there a published rate card?
  • What contract term, renewal, and cancellation terms apply to Yotpo Discover?

No public Yotpo Discover price, package matrix, usage allowance, or standard contract rate was identified in the reviewed official materials [68]. The buying path appears to be demo-led, and pricing should be treated as quote-based.

What is known. Pricing is custom and scales with catalog breadth, markets targeted, and optimization depth rather than fixed tiers [70]. Discover is priced separately and custom-quoted even when bundled with other Yotpo products [71]. The first release targets brands at $10M+ annual GMV [72].

What is not known. Implementation, onboarding, consulting, or dedicated AEO-advisor fees were not publicly specified [68]. Seat counts, usage quotas, catalog or market expansions, support tiers, API and export rights, and onboarding fees are not publicly specified [74]. Minimum term, renewal, cancellation, refund, data-export, and termination-assistance terms are unclear [68].

What the terms of service do establish. Yotpo's terms of service state that the initial subscription term is as specified on the order form, and that the agreement then automatically renews for the shorter of the subscription term or one year unless either party gives written notice at least 30 days before the end of the current term (official:C3). Yotpo reserves the right to increase pricing for any renewal term with at least 30 days' written notice (official:C3). Fees paid are non-refundable except in the event of termination caused by an uncured material breach (official:C3). The terms also include a Discover-specific service-interruption clause: if a Discover interruption occurs and is not remedied within 30 days, Yotpo may terminate the agreement as to Discover services only and provide a pro-rata refund of unused pre-paid Discover fees (official:C3). Yotpo's aggregate liability under the agreement is capped at $100 except in cases of willful misconduct or gross negligence (official:C3).

These terms are the general Yotpo agreement, not a Discover-specific order form. Buyers should confirm how they apply to a Discover contract.

Cost comparison context. For budgeting reference, one independent comparison noted Ahrefs brand radar tools starting at $99/mo against Yotpo's custom enterprise pricing [76]. Other tools surfaced during research publish rates — eCommerce Insights from $99–349/mo with a 14-day free trial, SEORCE at $249/month, and Niara at €229/month — though these are vendor-published figures from their own sites, not independently verified [77].

Best Suited For

Questions This Section Answers

  • Which ecommerce brands get the most value from Yotpo Discover's AI visibility agents?
  • Is Yotpo Discover worth it for a brand already using Yotpo Reviews and Loyalty?

Yotpo Discover is best suited to established ecommerce brands with substantial catalogs, meaningful review or UGC volume, and dedicated SEO, content, merchandising, or growth teams [80]. The stated initial target is brands above $10 million in annual GMV [82].

The strongest fit profile combines four traits. First, a large product catalog — the platform is described as designed for 200–2,000+ SKU catalogs with SKU-level agent work [81]. Second, existing review volume, because the Activation Agent assumes clients have decent review volume to fuel community engagement [85]. Third, a modern commerce stack — Shopify, Salesforce Commerce, Adobe Commerce, or BigCommerce [86]. Fourth, a team that wants automated action rather than visibility reporting alone [80].

Brands already running Yotpo Reviews have a specific advantage: catalog and tracking are in place for immediate deployment [88]. Agencies managing multiple ecommerce clients who want to scale AI visibility optimization across portfolios were also named as a fit [81].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Yotpo Discover for AI SEO Tools for Ecommerce Brands?
  • Is Yotpo Discover suitable for an ecommerce brand below $10 million in annual GMV?

Several buyer profiles are poor fits on the supplied evidence.

Brands below the stated GMV threshold. Yotpo's public FAQ says the first release targets brands generating $10 million or more in annual GMV and that smaller brands should join a waitlist [89]. Independent commentary describes access as restricted by annual GMV and early access status [92].

Small teams needing public, self-serve pricing. No published rate card was found, and the buying path is demo-led [94]. Buyers who need transparent pricing before entering a sales conversation are a poor fit [96].

Buyers primarily seeking traditional SEO. Discover does not replace keyword research, backlink intelligence, rank tracking, or broad technical SEO functionality [97]. Yotpo explicitly advises brands to continue traditional SEO work [99].

Non-catalog businesses. Service businesses, B2B SaaS, info-product brands, and non-catalog sellers are out of scope in the initial release [100].

Brands with sparse review volume. The Activation Agent depends on existing review volume, so brands with minimal reviews may not capture full value [101].

Brands on unsupported commerce platforms. Discover is limited to supported commerce platforms; non-integrated custom stacks face integration friction [102].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Yotpo Discover for an ecommerce brand below the $10M GMV gate?
  • When is a traditional SEO platform a better choice than Yotpo Discover for ecommerce AI search?

Four scenarios point buyers elsewhere, based on the supplied research.

Below the GMV gate or needing immediate access. Independent commentary recommends considering AEO Engine, which publishes pricing and targets a $1,597+/month entry point with no GMV gate [104]. Other tools surfaced during research publish self-serve rates: eCommerce Insights from $99–349/mo with a 14-day free trial across six AI engines, SEORCE at $249/month with SKU-level tracking and AutoFix, and Niara at €229/month with Google Search Console integration [106]. These are vendor-published figures.

Needing unified traditional SEO plus AI optimization. Pairing a traditional tool such as Semrush or Ahrefs with a separate AEO layer, or engaging a full-service AEO agency, was recommended for buyers who want both in one dashboard [104]. One independent comparison noted Ahrefs brand radar tools starting at $99/mo against Yotpo's custom enterprise pricing [110].

Needing PR, link building, or authority work as the core lever. Discover excludes these, while AEO Engine and full-service agencies include authority work [111].

Selling services, B2B SaaS, or operating without a product catalog. A general GEO/AEO platform not constrained to commerce verticals is the better shape of tool [112].

Already using a competitor review platform. Brands on Bazaarvoice, Reviews.io, or Okendo that want to avoid Yotpo ecosystem lock-in should weigh that dependency [104].

For a broader view of how these tools compare across the category, see the AI SEO Tools for Ecommerce Brands consensus index.

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Yotpo Discover before signing a contract?
  • How does Yotpo Discover measure AI visibility lift, and can it provide independent case studies?

The platforms converged on a similar verification list. These questions are drawn from the supplied research and should be answered in writing before signing.

Availability and eligibility. Is Yotpo Discover generally available to this brand, and does the brand meet the current GMV, geography, catalog-size, and platform criteria [113]? What is the timeline for a sub-$10M GMV version, and are current waitlist members guaranteed access or pricing when launched [115]?

Scope of the quote. Which AI engines, regions, languages, prompt volumes, products, categories, and historical data are included [113]? How many seats, brands, catalogs, markets, prompts, and report frequencies does the quote cover [116]?

Agent behavior and controls. Are Content Agent outputs automatically published, human-reviewed, or exported for approval, and what controls exist for claims, brand voice, duplication, and hallucination risk [113]? What exact actions can the Onsite, Content, and Activation Agents take, and which require merchant approval or engineering support [113]?

Commercial terms. What are the implementation fees, recurring subscription fees, usage or SKU limits, add-on charges, minimum term, renewal, cancellation, and data-export terms [113]? How do the general Yotpo terms of service — including the 30-day renewal notice requirement and the $100 liability cap — apply to a Discover order form (official:C3)?

Measurement and proof. How are visibility scores, share of voice, competitor findings, and lift measured, and can the vendor provide an independent or controlled case study [113]? How does Discover distinguish AI-engine changes, prompt variance, personalization, and true performance improvement [113]? How frequently do visibility scores refresh, and what is the lag time from content optimization to citation [119]?

Data rights and portability. Can the buyer retain ownership and access to generated content, prompt data, catalog data, review data, and historical reporting after termination [113]? If the brand switches to a non-Yotpo review platform, can it continue using Discover, and what data lock-in exists [119]?

Integration dependencies. Which Yotpo products and integrations are required, optional, or separately billed [113]? Does Discover support multi-region inventory, seasonal product visibility swings, and category overlap in competitive analysis [119]?

Final AI Consensus Verdict

Yotpo Discover is a good fit for larger US ecommerce brands that want an integrated, commerce-native AI visibility and optimization workflow spanning product discovery, comparison, reviews, and purchase-intent prompts [120]. It is not yet a clearly superior choice for smaller brands, price-sensitive buyers, or teams seeking a transparent self-serve product or a complete traditional SEO suite.

Fit ratings across the seven platforms split accordingly: grok rated it strong, openai, anthropic, google, and perplexity rated it good, and deepseek and kimi rated it uncertain [123]. The uncertainty is not a quality judgment — it reflects that two platforms could not verify the product's existence or feature scope from public sources.

Purchase confidence should remain moderate until Yotpo confirms availability, pricing, controls, data rights, and measurable success criteria [120]. The strongest reason to consider it is the combination of SKU-level AI visibility measurement with three action agents built on review and catalog data [120]. The main limitation is that access is gated, pricing is quote-only, and the product is positioned as a complement to — not a replacement for — traditional SEO [129].

How This Review Was Produced

This review was produced from a structured multi-platform research run dated 2026-09-18. Seven AI platforms evaluated Yotpo Discover against the use case "AI SEO Tools for Ecommerce Brands": 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), kimi (moonshotai/kimi-k2.6), and deepseek (deepseek-v4-flash). Six of the seven ran with search enabled; deepseek ran without search.

Each platform returned a fit rating, use-case findings, strengths, limitations, pricing observations, and verification questions. Ranking-stage mentions were counted separately from fit evaluations: a platform can evaluate fit without naming the entity during ranking discovery, and platform_mentions counts only the latter.

Citations in this article are platform-reported evidence, not independently verified facts. Company-owned citations materially outnumber independent citations in the supplied catalog (39 owned, 3 independent, 1 unclear), so company claims are labeled as such throughout. The supplied URLs were collected from platform responses and were not independently validated by the writer stage.

Methodology Limitations

Several limitations materially affect how much weight this review can carry.

Verification gap. Two of seven platforms could not confirm that Yotpo Discover exists as a distinct, documented AI SEO product [132]. Deepseek ran without search enabled, so its conclusion reflects a no-search model assessment rather than a retrieval failure. Kimi ran with search and still could not locate matching product pages. This is a genuine evidence conflict, not a disagreement about quality.

Source ownership imbalance. Company-owned citations outnumber independent citations roughly thirteen to one. Most capability claims trace to Yotpo's own product, blog, and support pages. Independent evidence is limited to AEO Engine comparison commentary, a Tycoonstory comparison, and an AICiteKit directory entry [134].

Date discrepancy. The authoritative run research date is 2026-09-18. Deepseek's platform-reported research date is 2026-01-15, roughly eight months earlier. Platform-reported dates are provenance metadata and do not independently prove freshness.

Pricing opacity. No platform located a published Discover price. Pricing confidence was rated low by openai, anthropic, grok, deepseek, and google, and moderate by perplexity. The terms-of-service excerpts supplied are the general Yotpo agreement, not a Discover-specific order form, and their applicability to a Discover contract is uncertain.

Unresolved product naming. Yotpo uses overlapping public labels including AI Visibility Automation Platform and AI Visibility Optimization Platform. The reviewed materials appear to describe the same Discover product family, but exact packaging is unclear [137].

Performance claims unverified. Customer outcome percentages and testimonials are company-published or customer-testimonial claims, not independently verified results [139]. No platform supplied independent evidence linking AI visibility gains to revenue, conversion rate, or transaction impact.

Probabilistic outcomes. Yotpo's own documentation states that AI crawling, indexing, retrieval, and inclusion are not deterministic [141]. No platform claimed Discover guarantees AI mentions, rankings, citations, or conversions.

No hands-on testing. This review reflects platform-reported research only. No platform or writer tested the product, and no customer experience is claimed.

Explore more ai seo content optimization guidance in the category directory.

Sources

Company-Owned Sources

Independent Sources

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    141. AI research evidence record openai:c3

Other Sources

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    18. AI research evidence record anthropic:c28
    19. AI research evidence record openai:c1
    20. AI research evidence record openai:c2
    21. AI research evidence record anthropic:c6
    22. AI research evidence record anthropic:c8
    23. AI research evidence record google:1.2.1
    24. AI research evidence record anthropic:c4
    25. AI research evidence record google:1.2.2
    26. AI research evidence record anthropic:c1
    27. AI research evidence record grok:1
    28. AI research evidence record google:1.3.3
    29. AI research evidence record grok:4
    30. AI research evidence record anthropic:c12
    31. AI research evidence record anthropic:c14
    32. AI research evidence record openai:c3
    33. AI research evidence record deepseek:c2
    34. AI research evidence record kimi:search-failure-2026
    35. AI research evidence record anthropic:c17
    36. AI research evidence record anthropic:c18
    37. AI research evidence record perplexity:2
    38. AI research evidence record anthropic:c19
    39. AI research evidence record grok:3
    40. AI research evidence record anthropic:c10
    41. AI research evidence record perplexity:1
    42. AI research evidence record perplexity:6
    43. AI research evidence record perplexity:8
    44. AI research evidence record perplexity:11
    45. AI research evidence record openai:c4
    46. AI research evidence record anthropic:c27
    47. AI research evidence record perplexity:3
    48. AI research evidence record perplexity:4
    49. AI research evidence record perplexity:10
    50. AI research evidence record openai:c1
    51. AI research evidence record openai:c2
    52. AI research evidence record anthropic:c2
    53. AI research evidence record grok:1
    54. AI research evidence record grok:4
    55. AI research evidence record anthropic:c4
    56. AI research evidence record anthropic:c6
    57. AI research evidence record anthropic:c5
    58. AI research evidence record anthropic:c8
    59. AI research evidence record anthropic:c9
    60. AI research evidence record anthropic:c11
    61. AI research evidence record anthropic:c15
    62. AI research evidence record perplexity:7
    63. AI research evidence record anthropic:c16
    64. AI research evidence record anthropic:c25
    65. AI research evidence record anthropic:c26
    66. AI research evidence record anthropic:c22
    67. AI research evidence record anthropic:c13
    68. AI research evidence record openai:c1
    69. AI research evidence record perplexity:1
    70. AI research evidence record anthropic:c10
    71. AI research evidence record perplexity:6
    72. AI research evidence record perplexity:2
    73. AI research evidence record anthropic:c17
    74. AI research evidence record perplexity:11
    75. AI research evidence record anthropic:c19
    76. AI research evidence record google:2.4.1
    77. AI research evidence record kimi:ecommerceinsights-pricing-2026
    78. AI research evidence record kimi:seorce-2026
    79. AI research evidence record kimi:niara-2026
    80. AI research evidence record openai:c1
    81. AI research evidence record anthropic:c9
    82. AI research evidence record anthropic:c17
    83. AI research evidence record perplexity:2
    84. AI research evidence record anthropic:c11
    85. AI research evidence record anthropic:c23
    86. AI research evidence record anthropic:c15
    87. AI research evidence record perplexity:7
    88. AI research evidence record anthropic:c16
    89. AI research evidence record anthropic:c17
    90. AI research evidence record anthropic:c18
    91. AI research evidence record perplexity:2
    92. AI research evidence record anthropic:c20
    93. AI research evidence record grok:3
    94. AI research evidence record openai:c1
    95. AI research evidence record perplexity:1
    96. AI research evidence record anthropic:c19
    97. AI research evidence record anthropic:c28
    98. AI research evidence record perplexity:9
    99. AI research evidence record anthropic:c21
    100. AI research evidence record anthropic:c24
    101. AI research evidence record anthropic:c23
    102. AI research evidence record anthropic:c15
    103. AI research evidence record perplexity:7
    104. AI research evidence record anthropic:c19
    105. AI research evidence record anthropic:c20
    106. AI research evidence record kimi:ecommerceinsights-pricing-2026
    107. AI research evidence record kimi:seorce-2026
    108. AI research evidence record kimi:niara-2026
    109. AI research evidence record anthropic:c21
    110. AI research evidence record google:2.4.1
    111. AI research evidence record anthropic:c22
    112. AI research evidence record anthropic:c24
    113. AI research evidence record openai:c1
    114. AI research evidence record anthropic:c17
    115. AI research evidence record anthropic:c18
    116. AI research evidence record perplexity:11
    117. AI research evidence record google:1.1.1
    118. AI research evidence record anthropic:c27
    119. AI research evidence record anthropic:c19
    120. AI research evidence record openai:c1
    121. AI research evidence record anthropic:c1
    122. AI research evidence record perplexity:3
    123. AI research evidence record grok:0
    124. AI research evidence record google:1.2.1
    125. AI research evidence record deepseek:c2
    126. AI research evidence record kimi:search-failure-2026
    127. AI research evidence record anthropic:c19
    128. AI research evidence record anthropic:c9
    129. AI research evidence record anthropic:c17
    130. AI research evidence record perplexity:1
    131. AI research evidence record perplexity:9
    132. AI research evidence record deepseek:c2
    133. AI research evidence record kimi:search-failure-2026
    134. AI research evidence record anthropic:c19
    135. AI research evidence record google:2.4.1
    136. AI research evidence record perplexity:11
    137. AI research evidence record openai:c1
    138. AI research evidence record perplexity:3
    139. AI research evidence record openai:c4
    140. AI research evidence record anthropic:c27
    141. AI research evidence record openai:c3

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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
43
Ranking mentions
3 of 7
Platform share
43%
Final consensus rank
#5

Research trail and source mix

Configured platforms

openai, anthropic, deepseek, grok, perplexity, kimi, google

Source mix

3 independent · 39 company-owned · 1 unclear

Evidence support

26 direct · 5 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 726b231f33049038573bab24b11d100e601e123b2260a3532361a7b08e095559