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AthenaHQ Content Optimization Tool Fit Review for ChatGPT Visibility

AthenaHQ is a good fit for companies that need to monitor and improve visibility in ChatGPT responses, with caveats.

Research: 2026-09-197 usable platform responsesRead the methodology ↗

Answer Capsule

AthenaHQ is a good fit for companies that need to monitor and improve visibility in ChatGPT responses, with caveats. Four of the seven platforms in this study named AthenaHQ during the ranking stage, and their fit ratings split between "strong" (Google, Grok), "good" (OpenAI, Anthropic, Perplexity), and "uncertain" (DeepSeek, Kimi). The strongest reason to consider it is that AthenaHQ is purpose-built for AI-search visibility: it tracks ChatGPT and other AI engines, analyzes prompts, competitors, and cited sources, and produces content optimization recommendations and actions [1]. The main limitation is that pricing, plan naming, and measurement methodology are inconsistent across public sources, and no independent source validates that its recommendations actually improve ChatGPT inclusion or citation [4].

Research Snapshot

FieldValue
Platform mentions in ranking stage4 of 7 platforms (deepseek, google, grok, openai)
Share of included platform responses57.1%
Average listed rank5.5
Best listed rank4
Relevant product/model/planAthenaHQ AI search visibility platform; Essential free tier for evaluation; Starter paid plan for ongoing monitoring; Enterprise for custom-scale programs
Overall use-case fitGood, with unresolved pricing and methodology uncertainty
Research date2026-09-19

Why AthenaHQ Qualified for This Study

Questions This Section Answers

  • Is AthenaHQ a good choice for Content Optimization Tools for ChatGPT Visibility?
  • How many AI platforms named AthenaHQ in the ranking stage for ChatGPT visibility tools?

AthenaHQ qualified because four of the seven platforms in this study named it during ranking discovery, and every platform that evaluated it placed it in the same functional category the buyer is shopping for: software that monitors and improves brand visibility inside AI-generated answers, including ChatGPT [6].

The ranking-stage statistics show four platform mentions across seven platforms, a 57.1% share of included platform responses, an average listed rank of 5.5, and a best listed rank of 4 (deepseek, google, grok, openai). That is a moderate showing: AthenaHQ was not the top-ranked tool on any single platform list, but it appeared consistently enough to clear the study's two-mention threshold.

Fit ratings were not unanimous. Google and Grok rated AthenaHQ a "strong" fit; OpenAI, Anthropic, and Perplexity rated it "good"; DeepSeek and Kimi rated it "uncertain." The uncertain ratings trace to unresolved identity and pricing questions rather than to a competing product recommendation. DeepSeek's research could not verify pricing, plan tiers, or measurement accuracy from independent sources and flagged the entity domain as unverified during normalization [10]. Kimi could not retrieve a primary source from athenahq.ai at all and noted possible brand confusion with "Otterly / Athena" in a competitor comparison table [12].

Buyers should read those two uncertain ratings as diligence flags, not as evidence that the product fails the use case. The category fit is not in dispute across platforms; the terms of purchase are.

The Product, Model, Plan, or Service Most Relevant to Content Optimization Tools for ChatGPT Visibility

Questions This Section Answers

  • Which AthenaHQ plan should a buyer choose if they need ongoing ChatGPT visibility monitoring rather than a one-time evaluation?
  • Does AthenaHQ's Essential free tier include ChatGPT tracking, or do buyers need the paid Starter plan?

The relevant offering is the AthenaHQ AI search visibility platform, sold as a credit-based subscription with an Essential free tier for evaluation, a Starter paid plan for ongoing monitoring, and custom-priced Enterprise for larger programs [13].

Platforms described the plan structure differently, and that inconsistency is itself a finding. OpenAI and Perplexity both point to Essential as free, Starter at $295 per month, and Enterprise as custom [13]. Grok reports Starter at $295 per month monthly or $95 per month annual, with Enterprise custom [15]. Google reports a Starter or "Lite" plan at $295 per month standard or $270 per month billed annually, and describes agency tiers named Bronze, Silver, and Gold [16]. Anthropic reports Starter at $295 per month or $245 per month billed annually, with a $95 first-month promotional rate [18].

The ranking stage also referenced an "Athena Standard Agency Plan." That plan name could not be reconciled with the current public pricing pages reviewed, which list Essential, Starter, and Enterprise instead [13]. Kimi explicitly could not verify the Standard Agency Plan against any public source [21]. Buyers who were told to evaluate that specific plan should confirm whether it still exists and how it differs from Starter and Enterprise.

Engine coverage also varies by source. Anthropic reports that all plans include ChatGPT, Perplexity, Gemini, Google AI Overviews, and Copilot, with Starter covering nine models [22]. Google reports 11+ tracked models including ChatGPT, Claude, Gemini, Perplexity, Copilot, Grok, DeepSeek, Meta AI, Mistral, and Google AI Overviews [24]. Grok notes the exact model count varies across sources between roughly 8 and 11+ and should be verified on the official site [25]. For a ChatGPT-visibility buyer, the practical question is not the total model count but whether the specific ChatGPT surfaces and geographies you care about are covered on the plan you buy.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree AthenaHQ does well for ChatGPT visibility?
  • Does AthenaHQ provide content optimization recommendations, or only visibility monitoring?

Platforms broadly agreed on three things: AthenaHQ is purpose-built for AI-search visibility rather than traditional SEO, it combines monitoring with content optimization recommendations, and it covers ChatGPT alongside other major AI engines.

On category fit, OpenAI describes AthenaHQ as "purpose-built for generative-engine and AI-search visibility rather than only traditional SEO," with direct ChatGPT tracking available in publicly listed plans [26]. Anthropic describes it as a premium GEO platform built to help brands track and improve visibility across AI-powered search engines and digital assistants [27]. Grok calls it a "purpose-built generative engine optimization (GEO) platform" that tracks brand visibility in ChatGPT and other AI engines [28]. Perplexity notes its public materials are centered on AI search visibility rather than traditional SEO [29].

On the monitoring-plus-optimization combination, Anthropic reports that the platform combines AI visibility monitoring with prompt intelligence, citation and source analysis, competitor tracking, brand perception analysis, content recommendations, and optimization workflows [31]. Capterra's listing, cited by Anthropic, reports automated content optimization recommendations tied to passages AI systems extract [32]. Google reports an "Action Center" and "Ask Athena" that use an autonomous agent to generate first drafts of on-page and off-page content changes [33]. Grok reports content gap analysis, on-page and off-page recommendations, citation source mapping, and AI-powered optimization suggestions [35].

On ChatGPT coverage specifically, OpenAI confirms ChatGPT is listed in the Essential and Starter plans [26]. Anthropic confirms all plans include ChatGPT, Perplexity, Gemini, Google AI Overviews, and Copilot [36]. Grok confirms ChatGPT plus 8+ other engines with mentions, citations, and sentiment tracking [28]. Perplexity confirms ChatGPT among monitored engines [30].

Agreement across platforms is not proof of product quality. It means multiple independent research passes converged on the same description of what the product claims to do, largely drawing on the same company-owned pages.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Why did some AI platforms rate AthenaHQ's fit as uncertain for ChatGPT visibility?
  • Is AthenaHQ's pricing and plan structure consistent across public sources?

Disagreement clustered around four issues: pricing and plan naming, free-tier characterization, measurement validity, and competitive-analytics depth.

Pricing and plan naming conflict across sources. Anthropic reports Starter at $295 per month or $245 per month annual [37]. Grok reports $295 monthly or $95 monthly annual [38]. Google reports $295 standard or $270 annual, plus a separate "Lite" plan name with 3,500 credits and 3 seats [39]. Perplexity notes a directory listing a $95 introductory price while other sources show $295, and rates its own pricing confidence as low [41]. Dageno, cited by Anthropic, reportedly lists Starter at $270 per month annual and a "Growth" tier at $545 per month, which Anthropic flags as contradicting the official site [43].

Free-tier characterization is also inconsistent. Anthropic reports Essential as a one-time 300-credit grant rather than an ongoing free plan, and cites a review stating AthenaHQ "does not have a free tier, only a discounted first month" [44]. Perplexity notes the same conflict: official and some reviews show a free Essential tier, while another review says there is no permanent free tier [42]. OpenAI describes Essential as free with $25 free credit and 300 credits listed [46].

Measurement validity is the most consequential uncertainty. OpenAI states that AthenaHQ's public materials do not provide enough independent methodological detail to establish that its visibility metrics represent a stable equivalent of search impressions or rankings [46]. DeepSeek found no independent review, benchmark, or verified pricing for AthenaHQ's ChatGPT-visibility accuracy [47]. Kimi found no verified public information confirming that AthenaHQ provides relevant-question identification, topical-coverage improvement, competing-content analysis, clarity strengthening, or AI-assisted discovery optimization [48].

Competitive-analytics depth drew directly opposing reviews. One independent review, cited by Anthropic, states that AthenaHQ's "sentiment and competitive analytics are too basic to be actionable" [49]. Another independent review, cited by Anthropic, describes competitive benchmarking as showing "exactly where rivals are winning AI visibility" [50]. Both cannot be fully right; the difference likely reflects buyer maturity and use case rather than a factual dispute.

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does AthenaHQ identify relevant questions and content gaps for ChatGPT visibility?
  • Can AthenaHQ attribute ChatGPT visibility to revenue through Shopify or Google Analytics 4?

AthenaHQ's feature set maps reasonably well to the five capabilities the buyer asked about: identifying relevant questions, improving topical coverage, analyzing competing content, strengthening clarity, and optimizing information for AI-assisted discovery.

Identifying relevant questions. Anthropic reports that AthenaHQ tracks prompts shaping customer discovery and identifies demand signals via prompt analysis, with volume forecasting gated to Enterprise [51]. OpenAI describes Prompt Volume as a way to identify and track prompts that matter to the business [54]. Radarkit, cited by Anthropic, states Prompt Volume is enterprise-only and not available on self-serve plans [53].

Improving topical coverage. Anthropic reports that the platform analyzes coverage across tracked topics and prompts, shows which topics drive citations, and maps content sources AI models prefer [55]. GetMint, cited by Anthropic, reports that AthenaHQ analyzes a buyer's specific vertical to identify AI knowledge gaps [56].

Analyzing competing content. Anthropic reports competitor monitoring, share-of-voice metrics, and identification of sources cited by AI models [57]. Grok reports unlimited competitor benchmarking and share-of-voice comparison on paid tiers [59]. Google reports competitor benchmarking and brand sentiment monitoring [60].

Strengthening clarity and fixing gaps. Anthropic reports that the platform detects inaccurate claims and inaccessible pages and flags zero-volume information voids where AI models lack facts [62]. Capterra, cited by Anthropic, reports automated recommendations tied to passages AI systems extract [63].

Optimizing for AI-assisted discovery. Anthropic reports a content optimization agent on Starter and above, with the Athena Citation Engine (ACE) reserved for Enterprise [64]. Google reports agentic content recommendations that draft optimization copy rather than only scoring it [67]. One independent review, cited by Anthropic, is more skeptical: it states that while new content suggestions have potential, "the outreach and optimization features aren't worth your time" [69].

Attribution. Anthropic and Google both report native integrations with Shopify and Google Analytics 4 that connect AI visibility to traffic and revenue [70]. Anthropic also flags that independent reviewers describe this attribution as showing correlation rather than proven causality [73].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does AthenaHQ cost per month, and are there setup or cancellation fees?
  • What happens if a buyer exceeds AthenaHQ's monthly credit allocation?

AthenaHQ uses a credit-based consumption model with a fixed monthly base price. The most consistently reported figures are Essential free, Starter at $295 per month, and Enterprise custom-priced [74].

Reported costs across platforms:

ItemReported figureSource
Essential tierFree, 300 credits, $25 credit value, 5 models,
Starter monthly$295/month,,
Starter annual$245/month (17% off) or $270/month, depending on source,
First-month promotion$95, then renews at standard rate,
Starter credits3,600/month (one source says 3,500),
Additional credits$100 per 1,250 credits
EnterpriseCustom quote; one source reports $2,000+/month,

Contract terms are partly documented. Anthropic cites AthenaHQ's own terms stating that paid subscriptions automatically renew for successive periods equal to the initial billing period unless canceled, and that self-service subscriptions can be canceled through account settings [78]. OpenAI reports that the reviewed public materials do not state minimum contract duration, refunds, renewal terms, service-level commitments, or usage overage rules [74]. Perplexity reports that month-to-month versus annual terms are not consistently verified in public sources and that enterprise terms, minimums, SLAs, and data-processing terms are not publicly confirmed [75].

The credit model is the main cost risk. Anthropic warns that high-volume tracking (many prompts × many models × frequent re-runs) exhausts allocations faster than flat-rate alternatives, causing surprise overage costs [80]. Tooliverse, cited by Anthropic, states that the credit-based model "burns through allocations faster than teams expect" and that the Citation Engine and prompt volume forecasting are locked to Enterprise [81]. API access is a paid add-on with quote-only pricing on Starter [74].

Best Suited For

Questions This Section Answers

  • Who gets the most value from AthenaHQ for ChatGPT visibility work?
  • Is AthenaHQ worth it for e-commerce brands that need to tie AI visibility to revenue?

AthenaHQ is best suited to in-house marketing, SEO, content, brand, and growth teams that need recurring ChatGPT and broader AI-search visibility measurement plus prioritized content actions [83].

The strongest-fit buyer profiles across platforms:

  • Enterprise and mid-market marketing teams with dedicated budgets. Anthropic reports AthenaHQ is an excellent choice for enterprises with budget and a need for comprehensive AI search optimization across a small set of brands [85]. Google describes it as a premium GEO platform for brands and agencies with adequate budget [86].
  • E-commerce brands seeking revenue attribution. Anthropic and Google both report native Shopify and GA4 integrations that connect AI visibility to traffic and revenue [87].
  • Agencies and multi-brand operators. Google reports centralized multi-brand management with volume-based agency tiers [86]. Anthropic reports agency workspace features, though it also notes no published white-label reporting on self-serve plans [90].
  • Teams that want automated gap detection and action workflows rather than manual tracking [91].
  • Buyers who want a low-risk evaluation path. Multiple platforms report a free Essential tier for testing before commitment [83].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose AthenaHQ for Content Optimization Tools for ChatGPT Visibility?
  • Is AthenaHQ a poor fit for buyers who need multi-country ChatGPT tracking on a self-serve plan?

AthenaHQ is probably not the best choice for buyers with tight budgets, multi-country requirements on a self-serve plan, or a need for independently validated performance claims.

  • Early-stage startups and solopreneurs. Anthropic reports the $295 per month entry with no mid-tier option creates a cost barrier for small and mid-sized businesses [95].
  • Multi-country operations. Anthropic reports Starter is limited to a single region and single language, and that multi-region support across 60+ countries requires an Enterprise contract with no published middle tier [97].
  • Buyers who need independently validated results. DeepSeek found no independent source confirming measured performance for improving ChatGPT visibility [100]. OpenAI states the public materials do not independently prove that recommendations improve ChatGPT inclusion, citation frequency, traffic, leads, or revenue [101].
  • Risk-sensitive verticals needing robust hallucination correction. Anthropic reports that hallucination detection is basic on self-serve and that robust misinformation correction requires Enterprise, which is a meaningful gap for financial services, healthcare, and legal [102].
  • Agencies needing white-label client reporting. Anthropic reports no white-label reporting on published plans [103].
  • Buyers who need a permanent free tier. Anthropic reports the Essential grant is one-time only, not usable for ongoing monitoring [104].
  • Buyers who only need a cheap ChatGPT rank tracker. OpenAI notes the product measures multiple AI systems, so ChatGPT-only buyers may pay for functionality they do not need [101].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to AthenaHQ for a buyer who needs multi-country ChatGPT tracking without an enterprise contract?
  • What is a cheaper alternative to AthenaHQ for basic ChatGPT visibility monitoring?

Several platforms named specific alternatives and the conditions under which they fit better. These are platform-reported recommendations, not independently tested comparisons.

  • Budget-constrained buyers. Anthropic reports Rankability at $99 per month, Peec AI at $95 per month, Rankscale AI at $20 per month for basic GEO, and Otterly AI at $29 per month for misinformation focus [106]. Kimi reports optiseo at $79 per month and Rank++ at $49 per month as transparently priced alternatives [108].
  • Multi-country tracking without enterprise cost. Anthropic reports AthenaHQ's single-region Starter limitation pushes multi-country brands into enterprise contracts, and that Profound and others offer better self-serve international options [110].
  • Hallucination and brand-safety priority. Anthropic reports Otterly AI or Dageno AI specialize in misinformation correction for financial services, healthcare, and legal [107].
  • Integrated content creation. Anthropic reports Writesonic bundles AI content generation at a lower entry point and Scrunch AI offers an integrated workflow [107]. Kimi reports FogTrail for citation-optimized content generation with per-engine verification [111].
  • Broad SEO suites. OpenAI recommends a broader SEO suite when the buyer needs AI visibility combined with mature keyword research, crawling, technical SEO, and established organic-search reporting [112].
  • Enterprise analytics. OpenAI recommends an enterprise analytics or customer-data solution when connecting AI visibility to pipeline, conversions, or revenue matters more than prompt and citation monitoring [112].
  • Simple, predictable pricing. Anthropic reports Profound and Peec AI use flat-rate subscriptions, avoiding credit overage risk [110].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with AthenaHQ before signing a contract?
  • How should a buyer calculate whether AthenaHQ's 3,600 monthly credits will cover their prompt volume?

Anthropic recommends running a credit calculation before purchase: prompts × models × monthly re-runs = credit burn, checked against the 3,600-credit allocation [113]. OpenAI recommends confirming the practical prompt capacity for your workload [114].

Verify these items directly with AthenaHQ before committing:

  1. Is the Athena Standard Agency Plan currently offered, and how does it differ from Starter and Enterprise? [114]
  2. Is the Essential tier a permanent free plan or a one-time 300-credit grant? [116]
  3. What are the exact monthly credit limits, overage prices, API limits, export limits, and treatment of unused credits? [114]
  4. Are ChatGPT prompts executed through a specified model, browsing mode, region, language, or account context? [114]
  5. How are prompts selected, deduplicated, refreshed, and weighted, and how are visibility, mention, citation, sentiment, and share-of-voice metrics calculated? [114]
  6. What are the minimum term, renewal, cancellation, refund, annual-discount, and support commitments? [114]
  7. Which integrations are included in the purchased plan, including Shopify, GA4, CMS, API, CSV, and BI tools? [114]
  8. What data retention, privacy, security, SSO, access-control, and deletion terms apply? [114]
  9. Does the platform support your preferred BI tool on Starter, or are Tableau, Power BI, and Looker Enterprise-only? [121]
  10. Can AthenaHQ demonstrate reproducible results for your target prompts and geography without guaranteeing outcomes? [114]

Final AI Consensus Verdict

AthenaHQ is a good fit for Content Optimization Tools for ChatGPT Visibility, with material diligence requirements before purchase.

Four of seven platforms named it during ranking discovery, and every platform that evaluated it placed it in the correct functional category. Fit ratings split between strong (Google, Grok), good (OpenAI, Anthropic, Perplexity), and uncertain (DeepSeek, Kimi). The uncertain ratings stem from unverifiable pricing, unresolved plan naming, and the absence of independent measurement validation, not from a competing recommendation.

The strongest reason to consider AthenaHQ is that it directly addresses the buyer's stated need: it monitors ChatGPT and other AI engines, identifies prompts and content gaps, analyzes competitors and cited sources, and produces optimization recommendations and actions [122]. The main limitation is that no independent source validates that its recommendations improve ChatGPT inclusion, citation frequency, traffic, or revenue, and public pricing and plan naming are inconsistent enough that procurement planning requires direct confirmation [125].

A reasonable path is to start with the Essential tier for evaluation, validate prompt coverage, measurement repeatability, recommendation quality, and total usage cost, then decide whether Starter or Enterprise is justified. Buyers who need multi-country tracking, robust hallucination correction, white-label agency reporting, or a permanent free tier should expect to look at alternatives or negotiate an enterprise contract.

How This Review Was Produced

This review was produced from a structured multi-platform research run dated 2026-09-19. Seven AI platforms (OpenAI, Anthropic, Google, Grok, Perplexity, DeepSeek, and Kimi) were asked which content optimization tools they would recommend for improving ChatGPT visibility and why. AthenaHQ was named by four of the seven platforms during ranking discovery: DeepSeek, Google, Grok, and OpenAI. Each platform then produced a fit-research response covering the product, pricing, capabilities, limitations, alternatives, and verification questions.

This article synthesizes those platform responses. It does not include hands-on testing, customer interviews, or independent verification of vendor claims. All citations refer to platform-reported evidence, and company-owned sources are distinguished from independent sources in the Sources section.

Methodology Limitations

Several limitations apply to this review.

  • Platform-reported research dates differ from the run date. DeepSeek's research is dated 2026-02-14, while the other six platforms are dated 2026-09-19. The authoritative study date is 2026-09-19. DeepSeek's findings may be stale.
  • DeepSeek ran without search enabled. Its response is platform-reported and could not retrieve independent sources, which is why its pricing and plan findings are marked unclear.
  • Entity identity was flagged as unverified during normalization. DeepSeek's research notes conflicting official domains and an unresolved identity, with the retained domain treated as reported-but-unverified [127]. Kimi could not retrieve a primary source from athenahq.ai and noted possible brand confusion with "Otterly / Athena" [128].
  • Pricing and plan naming conflict across sources. Essential, Starter, Lite, Growth, Standard Agency, Bronze, Silver, and Gold appear across different sources with different prices and credit counts. This review does not resolve those conflicts.
  • Company-owned evidence dominates the feature descriptions. Most capability claims trace to athenahq.ai pages or to reviews that cite them. Independent validation of measurement accuracy was not located.
  • Platform agreement is not proof of quality. Multiple platforms converging on the same description means they drew on similar sources, not that the product performs as described.
  • Supplied URLs were not independently validated by the writer stage. They are reproduced as collected from platform responses.
  • No personal testing, customer experience, or guaranteed performance is claimed. Customer outcome figures referenced in company materials are company-reported and not independently validated [129].

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

Sources

Company-Owned Sources

  • What are AthenaHQ's pricing and features?: https://answers.athenahq.ai/athenahq-pricing-and-features
  • What are AthenaHQ's pricing, features, and AEO capabilities?: https://answers.athenahq.ai/athenahq-pricing-features-aeo
  • AthenaHQ | Agents to Win on AI Search: https://athenahq.ai/
  • AthenaHQ vs Semrush for AI Search Visibility: Which Delivers More ROI? | Action on AI Search: https://athenahq.ai/comparison/semrush
  • Enterprise | Action on AI Search: https://athenahq.ai/enterprise
  • Plans & Pricing | Action on AI Search - AthenaHQ: https://athenahq.ai/plans
  • Platform | Monitor, Understand & Act on AI Search | Action on AI Search: https://athenahq.ai/platform
  • Pricing | AthenaHQ: https://athenahq.ai/pricing
  • Terms and Conditions: https://athenahq.ai/terms
  • AI Search Optimization: Rank in ChatGPT, Perplexity, Claude, Gemini, and Grok | FogTrail: https://fogtrail.ai/ai-search-optimization
  • AI Visibility Dashboard - optiseo - comparison table including Otterly / Athena: https://optiseo.com/ai-visibility-dashboard/
  • Rank++ - Boost Your AI Visibility | 9 AEO tools including Content Optimizer: https://rankplusplus.com/
  • AI Visibility Platform for ChatGPT, Perplexity & AI Overviews | Visiby: https://visiby.net/ai-visibility-platform
  • EZY.ai - AEO & GEO Platform for AI Search Visibility: https://www.ezy.ai/
  • Additional AI research evidence129 records
    1. AI research evidence record openai:c1
    2. AI research evidence record anthropic:4-5
    3. AI research evidence record grok:0
    4. AI research evidence record deepseek:c2
    5. AI research evidence record kimi:optiseo-1
    6. AI research evidence record openai:c1
    7. AI research evidence record anthropic:1-1
    8. AI research evidence record grok:0
    9. AI research evidence record perplexity:c1
    10. AI research evidence record deepseek:c1
    11. AI research evidence record deepseek:c2
    12. AI research evidence record kimi:optiseo-1
    13. AI research evidence record openai:c1
    14. AI research evidence record perplexity:c1
    15. AI research evidence record grok:2
    16. AI research evidence record google:1.1.2
    17. AI research evidence record google:1.2.1
    18. AI research evidence record anthropic:16-1
    19. AI research evidence record anthropic:17-2
    20. AI research evidence record anthropic:18-1
    21. AI research evidence record kimi:optiseo-1
    22. AI research evidence record anthropic:13-12
    23. AI research evidence record anthropic:18-2
    24. AI research evidence record google:1.1.5
    25. AI research evidence record grok:0
    26. AI research evidence record openai:c1
    27. AI research evidence record anthropic:1-1
    28. AI research evidence record grok:0
    29. AI research evidence record perplexity:c1
    30. AI research evidence record perplexity:c4
    31. AI research evidence record anthropic:9-1
    32. AI research evidence record anthropic:11-4
    33. AI research evidence record google:1.1.2
    34. AI research evidence record google:1.3.1
    35. AI research evidence record grok:1
    36. AI research evidence record anthropic:13-12
    37. AI research evidence record anthropic:17-2
    38. AI research evidence record grok:2
    39. AI research evidence record google:1.1.2
    40. AI research evidence record google:1.2.1
    41. AI research evidence record perplexity:c15
    42. AI research evidence record perplexity:c1
    43. AI research evidence record anthropic:30-3
    44. AI research evidence record anthropic:29-1
    45. AI research evidence record anthropic:33-2
    46. AI research evidence record openai:c1
    47. AI research evidence record deepseek:c2
    48. AI research evidence record kimi:optiseo-1
    49. AI research evidence record anthropic:2-2
    50. AI research evidence record anthropic:7-6
    51. AI research evidence record anthropic:4-5
    52. AI research evidence record anthropic:9-10
    53. AI research evidence record anthropic:25-6
    54. AI research evidence record openai:c2
    55. AI research evidence record anthropic:24-1
    56. AI research evidence record anthropic:8-10
    57. AI research evidence record anthropic:4-6
    58. AI research evidence record anthropic:11-5
    59. AI research evidence record grok:2
    60. AI research evidence record google:1.2.1
    61. AI research evidence record google:1.2.2
    62. AI research evidence record anthropic:4-10
    63. AI research evidence record anthropic:11-4
    64. AI research evidence record anthropic:18-1
    65. AI research evidence record anthropic:23-4
    66. AI research evidence record anthropic:29-11
    67. AI research evidence record google:1.1.2
    68. AI research evidence record google:1.3.1
    69. AI research evidence record anthropic:2-11
    70. AI research evidence record anthropic:11-6
    71. AI research evidence record anthropic:23-1
    72. AI research evidence record google:1.1.4
    73. AI research evidence record anthropic:30-5
    74. AI research evidence record openai:c1
    75. AI research evidence record perplexity:c1
    76. AI research evidence record grok:2
    77. AI research evidence record anthropic:16-1
    78. AI research evidence record anthropic:32-4
    79. AI research evidence record anthropic:32-6
    80. AI research evidence record anthropic:18-1
    81. AI research evidence record anthropic:5-4
    82. AI research evidence record google:1.1.5
    83. AI research evidence record openai:c1
    84. AI research evidence record anthropic:1-1
    85. AI research evidence record anthropic:20-4
    86. AI research evidence record google:1.1.2
    87. AI research evidence record anthropic:11-6
    88. AI research evidence record anthropic:23-1
    89. AI research evidence record google:1.1.4
    90. AI research evidence record anthropic:10-6
    91. AI research evidence record anthropic:28-14
    92. AI research evidence record google:1.3.1
    93. AI research evidence record grok:5
    94. AI research evidence record perplexity:c1
    95. AI research evidence record anthropic:1-4
    96. AI research evidence record anthropic:16-1
    97. AI research evidence record anthropic:30-3
    98. AI research evidence record anthropic:35-8
    99. AI research evidence record anthropic:37-16
    100. AI research evidence record deepseek:c2
    101. AI research evidence record openai:c1
    102. AI research evidence record anthropic:30-5
    103. AI research evidence record anthropic:10-6
    104. AI research evidence record anthropic:29-1
    105. AI research evidence record anthropic:33-2
    106. AI research evidence record anthropic:14-1
    107. AI research evidence record anthropic:30-5
    108. AI research evidence record kimi:optiseo-1
    109. AI research evidence record kimi:rankplusplus-1
    110. AI research evidence record anthropic:30-3
    111. AI research evidence record kimi:fogtrail-1
    112. AI research evidence record openai:c1
    113. AI research evidence record anthropic:18-1
    114. AI research evidence record openai:c1
    115. AI research evidence record kimi:optiseo-1
    116. AI research evidence record anthropic:29-1
    117. AI research evidence record perplexity:c15
    118. AI research evidence record anthropic:31-1
    119. AI research evidence record anthropic:32-4
    120. AI research evidence record anthropic:11-6
    121. AI research evidence record anthropic:30-5
    122. AI research evidence record openai:c1
    123. AI research evidence record anthropic:4-5
    124. AI research evidence record grok:0
    125. AI research evidence record deepseek:c2
    126. AI research evidence record perplexity:c1
    127. AI research evidence record deepseek:c1
    128. AI research evidence record kimi:optiseo-1
    129. AI research evidence record openai:c1

Independent Sources

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Study date
September 19, 2026
Platforms analyzed
7
Source records
47
Ranking mentions
4 of 7
Platform share
57%
Final consensus rank
#4

Research trail and source mix

Configured platforms

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

Source mix

29 independent · 18 company-owned

Evidence support

11 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 a545f38fe60be0ccfd1f868ec234913b5da9bd10b367c7b2995425a73ebc429f