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AI Consensus Fit Review

Seedli AI Market Intelligence Platform Fit Review for Product Positioning

Seedli is a good fit for product and marketing teams that need to see how AI systems describe their category, apply decision criteria, and recommend or eliminate vendors.

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

Answer Capsule

Seedli is a good fit for product and marketing teams that need to see how AI systems describe their category, apply decision criteria, and recommend or eliminate vendors. Two of seven platforms named Seedli during ranking discovery (deepseek, kimi), at an average listed rank of 4.0 and a best rank of 2. The strongest reason to consider it is its stage-based monitoring of AI buyer journeys, decision criteria, elimination triggers, and positioning gaps, paired with a Content Plan that converts findings into briefs. The main limitation is that public evidence is almost entirely company-owned, with unclear plan-level pricing, unverified source-level attribution, and no independent validation of accuracy or business impact.

Research Snapshot

FieldFinding
Platform mentions in ranking stage2 of 7 platforms (deepseek, kimi)
Share of included platform responses28.6%
Average listed rank4.0
Best listed rank2 (deepseek)
Relevant product/model/planCore Platform / Seedli AI Buyer Journey Monitoring; specific plan name not found in research
Overall use-case fitGood (openai, perplexity); strong (anthropic, google, grok); uncertain (deepseek, kimi)
Research date2026-09-18

Why Seedli Qualified for This Study

Questions This Section Answers

  • Is Seedli a good choice for AI Market Intelligence Platforms for Product Positioning?
  • How many AI platforms named Seedli during ranking discovery for this use case?

Seedli qualified because it directly addresses the study's core question: how AI systems categorize a brand, which attributes they associate with it, and where positioning gaps exist. Two of seven platforms named Seedli during ranking discovery (deepseek, kimi), which is the minimum-mention threshold for inclusion [1]. The remaining five platforms evaluated Seedli's fit without naming it in their ranking stage.

The company states that it monitors major AI platforms daily across buyer stages and analyzes criteria, elimination reasons, evidence, and recommendations [3]. It reports a framework of ten decision criteria, ten elimination triggers, and eight hesitation signals across monitored projects and industries [4]. Those capabilities map directly to the study's criteria: which attributes AI platforms associate with each company, which use cases drive recommendations, what sources influence descriptions, where competitors dominate, and which positioning gaps exist.

Seedli's fit ratings were split. Anthropic, Google, and Grok rated it a strong fit; OpenAI and Perplexity rated it good; DeepSeek and Kimi rated it uncertain [5]. That spread is itself a finding: the platforms that retrieved Seedli's own documentation found a close match to the use case, while platforms that could not verify capability details withheld confidence.

The Product, Model, Plan, or Service Most Relevant to AI Market Intelligence Platforms for Product Positioning

Questions This Section Answers

  • Which Seedli plan should a buyer choose for AI buyer journey monitoring across ChatGPT, Gemini, and Claude?
  • Does Seedli's Core Platform include competitor positioning and decision-criteria analysis?

The relevant offering is the Core Platform, described across platform responses as Seedli AI Buyer Journey Monitoring; no single specific plan name was confirmed in the research [9]. Seedli's pricing page lists three tiers — a $157/month entry plan, a $397/month Growth plan, and a $797/month Scale plan — each including full platform access, the Content Plan with brief generation, all playbooks, and continuous monitoring across AI models [12].

Each project tracks one brand-audience combination across ChatGPT, Claude, Gemini, and Perplexity, according to the pricing page (official:C2). That per-project structure matters for positioning work: a company with multiple products or audience segments needs multiple projects, and extra projects carry per-project charges that differ by tier ($64, $59, and $54 per month respectively) (official:C2).

The platform's documented workflow is monitor AI buyer journeys, identify criteria and competitor gaps, then generate corrective content or positioning work [9]. Seedli's Content Plan ranks positioning gaps, supports buyer-stage filtering, and generates briefs using AI descriptions, competitor context, and recommended content actions [13].

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Seedli does well for product positioning intelligence?
  • Does Seedli monitor decision criteria and elimination triggers rather than just brand mentions?

The clearest agreement was that Seedli is not a mention-counting tool. Multiple platforms described the same core mechanism: monitoring how AI models evaluate brands against decision criteria, elimination triggers, and hesitation signals rather than tracking visibility scores alone [14].

Platforms also agreed on stage-based monitoring. Seedli tracks buyer decision stages with different cadences, and the Content Plan connects observed gaps to content actions [18]. Grok described monitoring of retrieval, critic, and synthesis gates in AI models, with content plans targeting gaps in what AI learns to value [22]. Google described the same idea as decision-architecture mapping across six journey stages [23].

A third area of agreement was competitor context. Seedli describes stage-level comparison showing where a brand appears, is evaluated, is eliminated, or is recommended relative to competitors [25]. Grok cited a US CRM category example of high mention but low recommendation rates [22].

Agreement among AI platforms reflects shared source material — mostly Seedli's own pages — not independent verification of product quality.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Why did some AI platforms rate Seedli's fit as uncertain for product positioning?
  • Is Seedli's pricing publicly verifiable before purchase?

Fit ratings diverged sharply. DeepSeek and Kimi rated Seedli uncertain, citing unverified capability claims, no public pricing, and no independent validation [26]. DeepSeek's search found no independent third-party review or analyst coverage of Seedli for AI market intelligence [27]. Kimi questioned whether Seedli's "AI buyer journey monitoring" analyzes LLM outputs at all, or instead tracks behavioral intent signals similar to demand-intelligence tools [28].

Pricing evidence conflicts. OpenAI, DeepSeek, Grok, and Perplexity reported no verified public dollar prices [30], while Anthropic reported $397/month Growth and $797/month Scale plans [33], and Google reported pricing hidden behind a signup wall [34]. The retrieved pricing page shows $157, $397, and $797 monthly tiers with a 20% semi-annual discount (official:C2). Buyers should treat tier names and entitlements as needing direct confirmation.

Model coverage is also inconsistent. The homepage emphasizes ChatGPT, Gemini, and Claude, while legal terms also name Perplexity [35]. One feature page describes Perplexity as coming soon [36], while the pricing page states each project tracks ChatGPT, Claude, Gemini, and Perplexity (official:C2). The exact live coverage for a purchased plan is unresolved.

Journey-stage counts conflict: the homepage describes five buyer-journey stages, while an insight article describes six decision stages [35]. These may be different product views or evolving terminology.

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Can Seedli show which sources influence AI descriptions of a brand?
  • Does Seedli let buyers upload their own prompts or customize decision criteria?

Seedli's documented strengths for this use case are stage-based monitoring, criteria extraction, competitor comparison, and content-plan actionability [40]. The platform reports daily monitoring across models and industries, with first results potentially available within an hour [40].

Source-influence tracing is the weakest verified area. Seedli says its service queries AI models and extracts structured insights about competitive positioning, buyer criteria, risks, and trust signals [44]. Public materials discuss evidence requirements and earned sources, but the research did not verify a complete source-level citation graph, source-weighting methodology, or whether every insight exposes underlying URLs and prompts [44]. Grok described monitoring of retrieval, critic, and synthesis gates [46], but that is a platform-reported characterization of company material.

Customization is unclear. The research does not verify whether buyers can upload proprietary prompts, build custom taxonomies, or control geography and persona parameters [40]. Kimi specifically flagged that prompt customization per project is undefined [47]. API access, CSV export, webhooks, CRM integrations, and collaboration permissions were not confirmed in the reviewed sources [40].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Seedli cost per month, and what do extra projects cost?
  • What is Seedli's refund and cancellation policy?

The retrieved pricing page lists three monthly tiers: $157/month, $397/month, and $797/month, with semi-annual billing saving 20% ($942, $2,382, and $4,782 billed every six months) (official:C2). Extra projects cost $64, $59, and $54 per month depending on tier (official:C2). Anthropic separately reported $397/month for Growth (8 projects) and $797/month for Scale (20 projects) [48]. OpenAI, DeepSeek, Grok, and Perplexity found no verified public dollar prices in their searches [49], so buyers should confirm current tiers directly.

Billing runs through Stripe in US dollars, with taxes calculated at checkout [53]. Subscriptions renew automatically unless canceled before the renewal date [49]. Cancellation is available anytime in account settings or by contacting Seedli and takes effect at the end of the current billing period (official:C3). A full refund applies if canceled within 14 days of the first payment; later payments are non-refundable [54].

Data retention after cancellation depends on tenure. Accounts subscribed three months or more switch to read-only mode for up to 12 months after cancellation; subscriptions shorter than three months may have customer data and generated intelligence deleted within 30 days [49]. Seedli may modify features and may discontinue the service with 90 days' written notice [49]. No verified implementation, seat, usage, model, data-export, or integration fees were found [49].

Best Suited For

Questions This Section Answers

  • Who gets the most value from Seedli for AI-mediated product positioning?
  • Is Seedli worth it for B2B teams whose buyers ask AI which vendors to shortlist?

Seedli is best suited to product marketing and positioning teams refining category language around AI-generated evaluation criteria [55]. B2B marketing teams monitoring brand, competitor, elimination, hesitation, and recommendation patterns across major AI models are a second strong fit [56]. Teams that want monitored findings translated into prioritized content briefs and positioning responses are a third [58].

The common thread is AI-mediated buying. If a meaningful share of your buyers ask ChatGPT, Gemini, or Claude which vendors to shortlist, Seedli's stage-based view of criteria, eliminations, and recommendations addresses that directly [60]. Agencies briefing content strategy from AI decision intelligence also appear in the fit assessments [57].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Seedli for AI market intelligence?
  • Is Seedli a replacement for analyst reports or verified market-share data?

Buyers seeking a conventional market-intelligence database with analyst reports, human survey data, verified market share, or broad third-party source coverage should look elsewhere [63]. Teams requiring independently validated causal evidence that monitoring changes pipeline, conversion, or revenue outcomes are also a poor fit, because no such evidence was found [63].

Organizations needing transparent public pricing, detailed enterprise procurement terms, or confirmed integrations before purchase face friction, since plan-level entitlements and security documentation were not verified in the reviewed sources [63]. Teams that need verified coverage of Perplexity today should confirm status first, because sources conflict on whether it is live or coming soon [66].

Seedli's terms state that AI outputs can be inaccurate, biased, outdated, and change without notice, and that the company does not verify the factual accuracy of individual AI claims [67]. Buyers who need factually verified competitive intelligence should treat that disclaimer as a scope limit.

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Seedli when click-to-source verification is required?
  • When should a buyer choose a broader market-intelligence platform over Seedli?

Choose a broader market-intelligence or analyst-research platform when the buyer needs independently collected market size, win/loss, survey, analyst, or verified competitive data rather than AI-answer monitoring [69]. Choose an AI-search visibility platform when the primary requirement is citation tracking, share of voice, URL-level source reporting, or technical monitoring rather than decision-criteria and buyer-stage analysis [69].

Kimi's response named specific alternatives with published pricing: Pyramyd for AI traceability and live battlecards ($90 per battlecard, $49/month refresh), IntelCue ($8.99/month), Moso and Competely for click-to-source verification, MarketRecon ($79/month) and Competely ($39/month) for feature-coverage matrices, MarketGeist ($49/month) for self-serve startup pricing, and Airframe for practitioner-sourced reviews [70]. These are competitor claims from a single platform response and were not independently validated.

Choose an internally built evaluation program when the team needs proprietary buyer prompts, controlled experiments, CRM linkage, custom taxonomies, or auditable source-level methodology [69]. Choose another vendor when transparent public pricing, enterprise security documentation, formal SLAs, procurement controls, or independently verified customer outcomes are mandatory [69].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Seedli before signing a contract?
  • Which models, prompts, and raw outputs are included in the purchased plan?

Ask for the exact price and entitlements for the Core Platform / Seedli AI Buyer Journey Monitoring plan in the United States, including seats, projects, prompt volume, model usage, and historical data limits [78]. Confirm which models and model versions are included, whether Perplexity is live or pending, and whether the buyer can select or exclude models and geographic contexts [78].

Ask whether every finding includes the original prompt, raw AI response, timestamp, model version, cited URLs, and source-level attribution [78]. Ask how prompts are generated, sampled, deduplicated, localized, and refreshed, and whether the buyer can upload its own buyer questions [78]. Confirm whether the platform distinguishes company-owned claims from third-party claims and shows which sources influence a recommendation [78].

Confirm whether API access, CSV export, webhooks, CRM integrations, and collaboration permissions are included or separately charged [78]. Ask whether teams can create custom categories, competitors, personas, decision criteria, and taxonomies beyond Seedli's canonical framework [78]. Clarify data retention, deletion, backup, and export rights during and after cancellation, including the read-only window [81]. Request security, privacy, DPA, SOC 2, GDPR, SSO, and access-control commitments for a US enterprise customer, plus any independent validation, benchmark methodology, or customer references supporting accuracy claims [78].

Final AI Consensus Verdict

Seedli is a good fit for teams specifically seeking AI-mediated category and product-positioning intelligence, especially when the desired workflow is monitor AI buyer journeys, identify criteria and competitor gaps, and generate corrective content or positioning work [83]. It is not yet a fully proven replacement for independent market research or source-auditable competitive intelligence [84].

The consensus is conditional rather than enthusiastic. Five of seven platforms rated fit good or strong, but the two uncertain ratings came from platforms that could not verify capability claims or pricing [84]. Purchase should depend on verifying price, plan limits, raw-output and source transparency, model coverage, data retention, and independent evidence of repeatability and business impact [83].

For buyers comparing this option against the wider field, the AI Market Intelligence Platforms for Product Positioning index shows how Seedli ranks against other finalists. Buyers who want to browse the broader set of ai search audits market intelligence research can start at the category directory.

How This Review Was Produced

This review aggregates fit-research responses from seven AI platforms — openai, anthropic, deepseek, grok, kimi, perplexity, and google — each asked to evaluate Seedli for AI Market Intelligence Platforms for Product Positioning. Two platforms named Seedli during ranking discovery (deepseek, kimi); all seven evaluated fit. Platform responses were normalized into a common schema covering fit rating, strengths, limitations, pricing, and verification questions. Citation IDs map to the supplied source catalog. No writer-stage testing, customer interviews, or independent verification was performed.

Methodology Limitations

Platform-reported research dates differ from the authoritative run date of 2026-09-18: anthropic and deepseek reported 2026-01-15, while the other five reported 2026-09-18. Those dates are provenance metadata and do not independently prove freshness.

Company-owned citations materially outnumber independent citations in this study, so company claims should not be read as independently verified. DeepSeek's search found no independent third-party review or analyst coverage of Seedli for AI market intelligence [88]. The supplied URLs were collected from platform responses and were not independently validated at the writer stage. Citations are platform-reported evidence, not verified facts. DeepSeek's response was produced without search enabled, so its claims require explicit verification before being treated as current. Pricing evidence conflicts across platforms and should be confirmed directly with the vendor.

Explore more ai search audits market intelligence guidance in the category directory.

Sources

Company-Owned Sources

  • Competely - Competitive Intelligence Tool: https://competely.ai/product/competitive-intelligence-tool
  • Moso - Self-maintained market intelligence: https://gomoso.ai/
  • MarketGeist - AI Growth & Strategy Agent: https://marketgeist.com/
  • Alex McMillan - Financial Adviser: https://seedli.com.au
  • Airframe - AI Market Intelligence: https://www.airframe.ai/market-intelligence
  • IntelCue - AI Competitive Intelligence Platform: https://www.intelcue.ai/
  • MarketRecon - AI-Powered Competitive Intelligence: https://www.marketrecon.io/
  • PYRAMYD Product Graph: https://www.pyramyd.ai/
  • Your brand has an AI reputation you've never seen | Seedli: https://www.seedli.ai/
  • Seedli Features: See what AI tells your buyers at every stage: https://www.seedli.ai/features
  • How to Use the Content Plan: From AI Intelligence to Published Content: https://www.seedli.ai/guides/content-plan
  • Your AI Visibility Score Does Not Win You Customers: https://www.seedli.ai/insights/ai-visibility-vanity-metric
  • What to Measure Instead of AI Visibility Scores: https://www.seedli.ai/insights/ai-visibility-what-to-measure-instead
  • How to Create Content That Wins in AI Models: https://www.seedli.ai/insights/content-that-wins-in-ai
  • Why Doubling Your SEO Will Not Get AI to Recommend You: https://www.seedli.ai/insights/recommendation-design
  • Seedli Platform Capabilities: https://www.seedli.ai/platform
  • How to Build FAQ Pages and Direct-Answer Content That AI Models: https://www.seedli.ai/playbooks/direct-answer-content
  • How to Build Migration and Switching Guides That AI Models: https://www.seedli.ai/playbooks/migration-switching-guides
  • Seedli Pricing and Monitoring Details: https://www.seedli.ai/pricing
  • Additional AI research evidence88 records
    1. AI research evidence record deepseek:c1
    2. AI research evidence record kimi:seedli-2026
    3. AI research evidence record openai:c1
    4. AI research evidence record openai:c3
    5. AI research evidence record anthropic:c1
    6. AI research evidence record google:1.2.1
    7. AI research evidence record grok:0
    8. AI research evidence record perplexity:c1
    9. AI research evidence record openai:c1
    10. AI research evidence record anthropic:c1
    11. AI research evidence record perplexity:c1
    12. AI research evidence record anthropic:c2
    13. AI research evidence record openai:c5
    14. AI research evidence record openai:c3
    15. AI research evidence record openai:c4
    16. AI research evidence record perplexity:c4
    17. AI research evidence record google:2.2.2
    18. AI research evidence record anthropic:c1
    19. AI research evidence record anthropic:c2
    20. AI research evidence record openai:c5
    21. AI research evidence record perplexity:c9
    22. AI research evidence record grok:0
    23. AI research evidence record google:1.2.5
    24. AI research evidence record google:1.2.7
    25. AI research evidence record openai:c1
    26. AI research evidence record deepseek:c1
    27. AI research evidence record deepseek:c2
    28. AI research evidence record kimi:seedli-2026
    29. AI research evidence record kimi:seedli-capabilities
    30. AI research evidence record openai:c2
    31. AI research evidence record grok:0
    32. AI research evidence record perplexity:c8
    33. AI research evidence record anthropic:c2
    34. AI research evidence record google:3.2.1
    35. AI research evidence record openai:c1
    36. AI research evidence record perplexity:c1
    37. AI research evidence record google:1.2.1
    38. AI research evidence record anthropic:c1
    39. AI research evidence record google:1.2.5
    40. AI research evidence record openai:c1
    41. AI research evidence record openai:c3
    42. AI research evidence record openai:c5
    43. AI research evidence record anthropic:c1
    44. AI research evidence record openai:c2
    45. AI research evidence record openai:c6
    46. AI research evidence record grok:0
    47. AI research evidence record kimi:seedli-2026
    48. AI research evidence record anthropic:c2
    49. AI research evidence record openai:c2
    50. AI research evidence record deepseek:c1
    51. AI research evidence record grok:0
    52. AI research evidence record perplexity:c8
    53. AI research evidence record google:4.3.6
    54. AI research evidence record google:4.3.7
    55. AI research evidence record openai:c1
    56. AI research evidence record anthropic:c1
    57. AI research evidence record grok:0
    58. AI research evidence record openai:c5
    59. AI research evidence record perplexity:c9
    60. AI research evidence record perplexity:c1
    61. AI research evidence record perplexity:c2
    62. AI research evidence record perplexity:c4
    63. AI research evidence record openai:c1
    64. AI research evidence record deepseek:c2
    65. AI research evidence record kimi:seedli-2026
    66. AI research evidence record perplexity:c1
    67. AI research evidence record openai:c2
    68. AI research evidence record anthropic:c3
    69. AI research evidence record openai:c1
    70. AI research evidence record kimi:pyramyd-2026
    71. AI research evidence record kimi:intelcue-2026
    72. AI research evidence record kimi:moso-2026
    73. AI research evidence record kimi:competely-2026
    74. AI research evidence record kimi:marketrecon-2026
    75. AI research evidence record kimi:marketgeist-2026
    76. AI research evidence record kimi:airframe-2026
    77. AI research evidence record kimi:seedli-2026
    78. AI research evidence record openai:c1
    79. AI research evidence record perplexity:c1
    80. AI research evidence record kimi:seedli-2026
    81. AI research evidence record openai:c2
    82. AI research evidence record deepseek:c2
    83. AI research evidence record openai:c1
    84. AI research evidence record deepseek:c1
    85. AI research evidence record kimi:seedli-2026
    86. AI research evidence record anthropic:c1
    87. AI research evidence record perplexity:c1
    88. AI research evidence record deepseek:c2

Independent Sources

  • Google Search Results for Seedli AI market intelligence reviews (search performed 2026-01-15: https://www.google.com/search?q=Seedli+AI+market+intelligence+reviews
  • Seedli Capital Secures $20 Million from Nimbus Capital: https://www.tradingview.com
  • Additional AI research evidence88 records
    1. AI research evidence record deepseek:c1
    2. AI research evidence record kimi:seedli-2026
    3. AI research evidence record openai:c1
    4. AI research evidence record openai:c3
    5. AI research evidence record anthropic:c1
    6. AI research evidence record google:1.2.1
    7. AI research evidence record grok:0
    8. AI research evidence record perplexity:c1
    9. AI research evidence record openai:c1
    10. AI research evidence record anthropic:c1
    11. AI research evidence record perplexity:c1
    12. AI research evidence record anthropic:c2
    13. AI research evidence record openai:c5
    14. AI research evidence record openai:c3
    15. AI research evidence record openai:c4
    16. AI research evidence record perplexity:c4
    17. AI research evidence record google:2.2.2
    18. AI research evidence record anthropic:c1
    19. AI research evidence record anthropic:c2
    20. AI research evidence record openai:c5
    21. AI research evidence record perplexity:c9
    22. AI research evidence record grok:0
    23. AI research evidence record google:1.2.5
    24. AI research evidence record google:1.2.7
    25. AI research evidence record openai:c1
    26. AI research evidence record deepseek:c1
    27. AI research evidence record deepseek:c2
    28. AI research evidence record kimi:seedli-2026
    29. AI research evidence record kimi:seedli-capabilities
    30. AI research evidence record openai:c2
    31. AI research evidence record grok:0
    32. AI research evidence record perplexity:c8
    33. AI research evidence record anthropic:c2
    34. AI research evidence record google:3.2.1
    35. AI research evidence record openai:c1
    36. AI research evidence record perplexity:c1
    37. AI research evidence record google:1.2.1
    38. AI research evidence record anthropic:c1
    39. AI research evidence record google:1.2.5
    40. AI research evidence record openai:c1
    41. AI research evidence record openai:c3
    42. AI research evidence record openai:c5
    43. AI research evidence record anthropic:c1
    44. AI research evidence record openai:c2
    45. AI research evidence record openai:c6
    46. AI research evidence record grok:0
    47. AI research evidence record kimi:seedli-2026
    48. AI research evidence record anthropic:c2
    49. AI research evidence record openai:c2
    50. AI research evidence record deepseek:c1
    51. AI research evidence record grok:0
    52. AI research evidence record perplexity:c8
    53. AI research evidence record google:4.3.6
    54. AI research evidence record google:4.3.7
    55. AI research evidence record openai:c1
    56. AI research evidence record anthropic:c1
    57. AI research evidence record grok:0
    58. AI research evidence record openai:c5
    59. AI research evidence record perplexity:c9
    60. AI research evidence record perplexity:c1
    61. AI research evidence record perplexity:c2
    62. AI research evidence record perplexity:c4
    63. AI research evidence record openai:c1
    64. AI research evidence record deepseek:c2
    65. AI research evidence record kimi:seedli-2026
    66. AI research evidence record perplexity:c1
    67. AI research evidence record openai:c2
    68. AI research evidence record anthropic:c3
    69. AI research evidence record openai:c1
    70. AI research evidence record kimi:pyramyd-2026
    71. AI research evidence record kimi:intelcue-2026
    72. AI research evidence record kimi:moso-2026
    73. AI research evidence record kimi:competely-2026
    74. AI research evidence record kimi:marketrecon-2026
    75. AI research evidence record kimi:marketgeist-2026
    76. AI research evidence record kimi:airframe-2026
    77. AI research evidence record kimi:seedli-2026
    78. AI research evidence record openai:c1
    79. AI research evidence record perplexity:c1
    80. AI research evidence record kimi:seedli-2026
    81. AI research evidence record openai:c2
    82. AI research evidence record deepseek:c2
    83. AI research evidence record openai:c1
    84. AI research evidence record deepseek:c1
    85. AI research evidence record kimi:seedli-2026
    86. AI research evidence record anthropic:c1
    87. AI research evidence record perplexity:c1
    88. AI research evidence record deepseek:c2

Verify this research

Review the study details behind this page or download the public machine-readable verification record.

Study date
September 18, 2026
Platforms analyzed
7
Source records
24
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

2 independent · 22 company-owned

Evidence support

20 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 eb60654ef678fe099bb02f95f3ef3219da9682363e35955fb178c9ef3a4ec8e2