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AI Consensus Fit Review

Clearscope AI SEO Tool Fit Review for Publishers and Review Websites

Clearscope is a good fit for publishers and review websites that need repeatable editorial research, SERP-informed optimization, content-gap analysis, published-content monitoring, and initial AI-search visibility measurement.

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

Answer Capsule

Clearscope is a good fit for publishers and review websites that need repeatable editorial research, SERP-informed optimization, content-gap analysis, published-content monitoring, and initial AI-search visibility measurement. Six of the seven platforms named Clearscope during the ranking stage, a platform share of roughly 86%. Its strongest reason to consider it is the combination of page-level relevance scoring, competitor comparison, Content Inventory with Google Search Console integration, and emerging AI prompt and citation tracking in one platform [1]. The main limitation is that Clearscope is a page-level optimization engine, not a site-level topical authority or technical SEO suite, and its AI-search coverage is partial rather than comprehensive [4].

Research Snapshot

FieldValue
Platform mentions in ranking stage6 of 7 platforms
Share of included platform responses85.7%
Average listed rank4.33
Best listed rank2 (grok)
Relevant product/model/planClearscope Essentials ($129/month) or Business ($399/month)
Overall use-case fitGood
Research date2026-09-18

Platforms naming Clearscope in the ranking stage were anthropic, deepseek, google, grok, openai, and perplexity. Ranks by platform: grok 2, deepseek 3, perplexity 3, google 5, openai 5, anthropic 8. Kimi did not name Clearscope in the ranking stage but did evaluate its fit for this use case.

Why Clearscope Qualified for This Study

Questions This Section Answers

  • Is Clearscope a good choice for AI SEO Tools for Publishers and Review Websites?
  • How many AI platforms named Clearscope in this ranking study, and at what average rank?

Clearscope qualified because six of seven platforms named it during ranking discovery, and all seven platforms evaluated its fit for publishers and review websites. The average listed rank was 4.33, with a best rank of 2 from grok. Fit ratings split across platforms: google rated it "strong," anthropic, grok, kimi, and openai rated it "good," and deepseek and perplexity rated it "mixed" [6].

The qualification rests on documented capabilities that map to the stated use case: content research, question and topic discovery, optimization recommendations, entity and source coverage, content-gap analysis, competitive comparisons, and AI-search visibility support. Clearscope's public materials describe content grading, recommended terms, competitor outlines, citable sources, Content Inventory, and prompt tracking [13]. Independent reviewers describe the same core workflow [16].

This is a niche fit review. It evaluates Clearscope only for publishers and review websites, not as a general company assessment.

The Product, Model, Plan, or Service Most Relevant to AI SEO Tools for Publishers and Review Websites

Questions This Section Answers

  • Which Clearscope plan is most relevant for a publisher or review website that needs content optimization and AI-search visibility?
  • Does Clearscope Essentials include AI prompt tracking and citation features, or do those require the Business plan?

The most relevant offering is Clearscope Essentials at $129/month, with Business at $399/month for larger publishing teams [18]. The official pricing page lists Essentials with 50 pages, 20 monthly Topic Explorations, and 20 monthly Drafts, and Business with 300 pages, 50 monthly Topic Explorations, 20 monthly Drafts, and a dedicated account manager [18].

Platforms described the relevant module differently. OpenAI framed it as "Clearscope Essentials, with Business for larger publishing teams." Anthropic described Essentials or Business for content optimization, Content Inventory with Google Search Console integration, AI prompt tracking, and semantic entity and citation discovery. Grok described Essentials or Business as a content optimization and relevance scoring module with AI visibility tracking. Kimi named the Essentials Plan. Perplexity named Essentials or Business for content optimization and relevance scoring. Deepseek described the content optimization platform with plan naming subject to confirmation [18].

Plan naming is not fully consistent across sources. Ranking-stage labels included Essentials, Professional, Business, and Essentials/Business, while the current public pricing page reviewed here lists Essentials, Business, and Enterprise. Professional-plan availability is unclear and should be confirmed with the vendor [18].

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Clearscope does well for publishers and review websites?
  • Is Clearscope strong enough at content-gap analysis and competitive comparison for review-site editorial teams?

Platforms broadly agreed on four capabilities. First, content optimization and relevance scoring: Clearscope analyzes top-ranking pages and grades drafts in real time, with the official support documentation describing Content Grades as a measure of content relevance and comprehensiveness [27]. Second, question and topic discovery: Topic Exploration and Query Discoveries surface related topics, question phrases, search volume, intent groupings, and topical coverage gaps [31]. Third, competitive comparison and content-gap analysis: Clearscope compares top competing pages, including content grade, word count, headings, and term usage [30]. Fourth, published-content monitoring: Content Inventory connects to Google Search Console and tracks impressions, clicks, average position, content health, and internal-linking opportunities [35].

Agreement on AI-search visibility was narrower. OpenAI, grok, and google described prompt tracking, brand visibility, and citation tracking across ChatGPT, Gemini, and Claude [39]. Anthropic described Prompt Tracking as partial rather than comprehensive. Perplexity and deepseek treated AI-search visibility as unconfirmed or unclear in the pages they reviewed [43].

Platform agreement here reflects what the reviewed sources describe. It does not prove product quality or performance.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Why did some AI platforms rate Clearscope as only a mixed fit for publishers and review websites?
  • Is Clearscope's AI-search citation tracking comprehensive enough to rely on alone?

Fit ratings diverged. Google rated Clearscope "strong." Anthropic, grok, kimi, and openai rated it "good." Deepseek and perplexity rated it "mixed" [46].

The disagreement centers on three areas. AI-search citation coverage: anthropic stated Clearscope does not handle citation readiness across the full AI answer engine landscape and that most buyers end up pairing it with an answer engine optimization tool. Kimi stated Clearscope does not appear to offer LLM citation polling and that competitors like SEORav explicitly target this [53]. Site-level topical authority: anthropic and independent reviewers described Clearscope as a page-level optimization engine that does not map topical authority at site level, while MarketMuse provides deeper domain-level gap modeling [56]. Pricing and plan limits: sources conflict on Essentials pricing ($129 versus $189), Content Inventory page limits (50 versus 100), and monthly report allowances [50].

Deepseek's research pass ran on 2026-01-15, earlier than the 2026-09-18 run date, and its search was disabled. Its uncertainty about AI-search features and plan names should be read with that limitation in mind [51].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Clearscope support content-gap analysis and competitor comparison for review websites?
  • How does Clearscope's Content Inventory help publishers refresh declining pages?

Content research and optimization. Clearscope Drafts analyze top-ranking pages and provide intent groupings, suggested terms, audience questions, competitor outlines, typical word count, readability, and a competitive term map [64]. The editor supports integrated writing, editing, optimization, and competitor outline viewing with real-time relevance and readability feedback [66].

Question and topic discovery. Topic Exploration and Query Discoveries surface related topics, question phrases, search-volume metrics, intent groupings, and topical coverage gaps [67]. The platform reports potential visibility across Google, Gemini, GPT, and Claude [67].

Entity and source coverage. Draft research identifies frequently cited external resources and expected citation sources, which can help editors improve sourcing [64]. This is guidance about sources appearing in analyzed results, not evidence that Clearscope can secure citations or establish publisher authority. Anthropic noted Clearscope does not audit third-party source domain eligibility or category authority signals [70].

Content-gap analysis and competitive comparison. Clearscope compares the top 30 competing pages, including content grade, word count, headings, and term usage [64]. Content Inventory can benchmark target pages against competing pages and identify internal-linking opportunities [72].

Published-content operations. Content Inventory connects to Google Search Console and monitors impressions, clicks, average position, SEO value, content health, target-query alignment, algorithm changes, LLM updates, and internal-linking opportunities [72]. Publishing companies and media organizations use Content Inventory to monitor thousands of pages and prevent content decay [76].

AI-search visibility. Every current public plan is described as including prompt tracking, brand-visibility tracking, query-fan-out awareness, and tracking across ChatGPT and Gemini [77]. Clearscope's own materials describe Prompt Tracking showing where a brand appears and where competitors are recommended instead, an AI Citations Content View connecting monitored pages to LLM citations, and AI Term Presence checking target queries in ChatGPT and Gemini [78]. The scope, sampling methodology, refresh frequency, and coverage limits are not fully documented publicly and should be verified before purchase [77].

Integrations. Clearscope integrates with Google Docs, Microsoft Word, and WordPress [81]. One independent comparison stated Clearscope's integrations stop at Google Docs, WordPress, and Word, while Surfer reaches Contentful, Jasper, ChatGPT, and Zapier [82].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Clearscope cost per month, and are there setup or cancellation fees?
  • What happens if a publisher exceeds Clearscope's monthly page, draft, or Topic Exploration limits?

The current public pricing page lists Essentials at $129/month and Business at $399/month, with Enterprise custom pricing. It states no contracts, no hidden costs, a 14-day free trial, and cancellation at any time for monthly plans [83].

PlanPriceIncluded limits
Essentials$129/month50 pages, 20 monthly Topic Explorations, 20 monthly Drafts, 50 tracked prompts
Business$399/month300 pages, 50 monthly Topic Explorations, 20 monthly Drafts, 300 tracked prompts, dedicated account manager
EnterpriseCustomCustom credits, agreements, crawler whitelisting, SSO

Sources: [83].

Additional fees. The pricing page lists additional pages at $25/month on Essentials and $15/month on Business, and additional drafts at $50 on Essentials and $20 on Business, though the unit basis should be confirmed [83]. One independent source reported additional inventory pages at $15/month per 100 and 10 extra AI drafts at $20, while another cited $25/month for additional inventory pages [87]. Add-ons may be automatically billed when included credits are exceeded [89].

Contract and cancellation terms. Public pricing states no contracts and cancellation without penalty for monthly plans. Annual custom plans may be invoiced [83]. Enterprise plans typically include annual commitment according to one platform, though this is not confirmed for all cases [92].

Pricing conflicts. An older support example refers to an Essentials subscription at $189/month, and multiple independent sources report Essentials at $189/month [83]. An official promotional page advertised temporary discounted prices of $99 for Essentials and $299 for Business for six months; eligibility, expiration, and availability should be confirmed [96]. One source claimed plans from $19/month, which conflicts with all other supplied pricing [97]. Annual billing discounts of roughly 17–20% were reported but not confirmed on the official site [92]. Kimi reported pricing confidence as low and stated Clearscope pricing was not publicly disclosed on standard pages, which conflicts with the retrieved official pricing page [98].

Best Suited For

Questions This Section Answers

  • Is Clearscope best suited for publishers with large existing content inventories?
  • Which publishers get the most value from Clearscope's content grading and Content Inventory?

Clearscope is best suited for editorial teams producing comparison, review, buying-guide, and informational content at repeatable scale [99]. Platforms converged on several buyer profiles: publishers maintaining large established content inventories that need ongoing optimization and decay prevention; editorial teams with 10 or more monthly publications that need real-time content grade feedback before publishing; review and comparison sites needing semantic keyword and citation discovery per article; and teams seeking Google and AI-search visibility monitoring in the same platform [100].

Unlimited users and projects on the public Essentials and Business pricing page make Clearscope practical for scaling editorial teams and agencies, subject to plan terms [99]. Google Docs and WordPress integrations reduce friction for in-house teams with established publishing workflows [104].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Clearscope for AI SEO Tools for Publishers and Review Websites?
  • Is Clearscope a poor fit for publishers whose primary goal is AI-answer citation visibility?

Clearscope is probably not the best fit for buyers requiring comprehensive backlink, technical-SEO crawling, or broad enterprise search-intelligence functionality [106]. It is also a weak standalone choice for teams needing verified guarantees of source eligibility, citation placement, or AI-answer inclusion [106].

Other poor-fit profiles: publishers building category authority or topical clusters from zero without dedicated content strategists, where MarketMuse or Surfer may be better suited; content operations requiring programmatic SEO, API-driven workflows, or large export automation; publishers with small editorial budgets and one to five articles per month, where Surfer Essential at $89/month was cited as a lower-cost option; and organizations needing brand voice governance, team workflow orchestration, or multi-tenant access controls at scale [109].

Very small sites whose monthly content volume does not justify a paid content-optimization platform were also flagged as a poor fit [106].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Clearscope for a publisher that needs model-level AI citation tracking?
  • When is a broader SEO suite a better choice than Clearscope for a review website?

Choose a broader SEO suite when backlink intelligence, technical crawling, rank tracking, and competitor domain research are as important as content optimization [112]. Choose a specialized AI-search monitoring product when model-level citation tracking, source attribution, prompt coverage, and answer monitoring are the primary buying criteria [112]. Choose a lower-cost or lighter content editor when the buyer only needs basic keyword suggestions and does not need Content Inventory or AI-visibility tracking [112].

Platform-specific alternatives named in the research: MarketMuse for site-level topical authority and domain-level gap discovery; Surfer SEO for API access, wider integrations, and a lower entry price; SEMrush or Ahrefs for consolidated keyword research, SERP features, backlink analysis, and technical SEO; SEORav or SEO.AI for explicit LLM citation polling and autonomous publishing pipelines; and Frase for lower-cost content briefs [114].

For teams whose 2026 strategy depends on AI search, one independent review stated most buyers end up with Clearscope plus an answer engine optimization tool [118].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Clearscope about pricing and plan limits before signing a contract?
  • Does Clearscope's AI prompt tracking cover the models and prompt volume a publisher needs?

Confirm the current Essentials price ($129 versus $189) and whether the advertised promotional price applies to your account and what price follows the promotional period [119]. Confirm exact Content Inventory page limits for Essentials (50 versus 100) and whether overflow pages trigger additional costs [119]. Confirm monthly report allowances per tier and whether Business allows unlimited reports or is capped, since sources conflict [124].

Ask whether AI prompt tracking and citation features are included in Essentials and what the exact prompt, model, geography, and refresh limits are [119]. Ask how Clearscope defines an AI citation, brand mention, source eligibility, and tracked visibility [119]. Ask whether additional pages and Drafts are billed automatically and what exact unit quantity each add-on purchase covers [126].

Confirm whether the platform can ingest your full site, CMS, and Google Search Console property at the required scale, and which integrations are currently supported for your CMS, editorial workflow, analytics, and content approvals [119]. Confirm whether you need Business or Enterprise for account management, SSO, crawler whitelisting, custom credits, or contractual commitments [119]. Ask what export, API, data-retention, user-permission, and cancellation terms apply [119].

Final AI Consensus Verdict

Clearscope is a good fit for publishers and review websites that prioritize repeatable editorial research, topical coverage, competitor-informed optimization, content refreshes, and initial AI-search visibility measurement [129]. Six of seven platforms named it in the ranking stage, and five of seven rated the fit as good or strong.

The strongest case is for editorial teams with established content strategies, 10 or more monthly publications, and large existing inventories that need ongoing optimization and decay prevention [133]. The weakest case is for buyers whose primary 2026 goal is AI-answer citation readiness across the full model landscape, or who need site-level topical authority modeling, technical SEO, or backlink intelligence [135].

Clearscope should be paired with broader technical, backlink, authority, and fact-verification capabilities when those functions are material to the buyer [129]. Verify current pricing, Content Inventory limits, and Prompt Tracking scope before committing.

How This Review Was Produced

This review aggregates fit-research responses from seven AI platforms: anthropic (claude-haiku-4-5-20251001), deepseek (deepseek-v4-flash), google (gemini-3.5-flash), grok (x-ai/grok-4.3), kimi (moonshotai/kimi-k2.6), openai (gpt-5.6-luna), and perplexity (perplexity/sonar). Each platform evaluated Clearscope for the stated use case and supplied citations. Six platforms named Clearscope during ranking discovery. The research date is 2026-09-18.

All platform responses are labeled platform-reported and were not independently verified by the writer stage. Citations are platform-reported evidence, not independently verified facts. The supplied URLs were collected from platform responses and were not independently validated. Official-page excerpts were retrieved but marked retrieved_not_verified.

Methodology Limitations

Platform-reported research dates differ from the authoritative run date. Deepseek's research pass ran on 2026-01-15, while the run date is 2026-09-18. Deepseek's search was disabled, so its findings rely on model knowledge rather than retrieved sources [138].

Official-site retrieval failed for one or more mentions during normalization, so some identity and plan-detail inferences should be treated as verify-before-buying items [138]. A product-labeled company mention was merged using matching company-name and supplied-domain signatures.

Pricing conflicts remain unresolved across sources, including Essentials at $129 versus $189, Content Inventory page limits of 50 versus 100, and additional page costs of $15 versus $25. Plan naming is inconsistent across ranking-stage labels and the current public pricing page. AI-search visibility feature coverage is described differently across platforms and is not fully documented publicly.

Platform agreement on features does not prove product quality, ranking improvement, citation placement, or publisher revenue. The reviewed evidence consists mainly of Clearscope product and support pages plus independent reviews. It supports the existence of described features but does not independently establish business outcomes [140].

See the broader AI SEO Tools for Publishers and Review Websites consensus index for comparisons across qualified options.

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

Sources

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  • Additional AI research evidence141 records
    1. AI research evidence record openai:c1
    2. AI research evidence record openai:c4
    3. AI research evidence record google:1.3.2
    4. AI research evidence record anthropic:42-5
    5. AI research evidence record anthropic:27-1
    6. AI research evidence record openai:c1
    7. AI research evidence record anthropic:1-1
    8. AI research evidence record google:1.1.2
    9. AI research evidence record grok:web:0
    10. AI research evidence record kimi:thestacc-seoai
    11. AI research evidence record deepseek:c1
    12. AI research evidence record perplexity:3
    13. AI research evidence record openai:c3
    14. AI research evidence record openai:c4
    15. AI research evidence record google:1.3.2
    16. AI research evidence record anthropic:22-1
    17. AI research evidence record anthropic:24-1
    18. AI research evidence record openai:c1
    19. AI research evidence record anthropic:15-6
    20. AI research evidence record anthropic:15-7
    21. AI research evidence record google:1.1.2
    22. AI research evidence record grok:web:0
    23. AI research evidence record kimi:thestacc-seoai
    24. AI research evidence record perplexity:3
    25. AI research evidence record deepseek:c1
    26. AI research evidence record deepseek:c2
    27. AI research evidence record anthropic:23-1
    28. AI research evidence record anthropic:23-2
    29. AI research evidence record anthropic:23-5
    30. AI research evidence record openai:c3
    31. AI research evidence record openai:c2
    32. AI research evidence record openai:c5
    33. AI research evidence record anthropic:24-1
    34. AI research evidence record anthropic:24-2
    35. AI research evidence record openai:c4
    36. AI research evidence record anthropic:1-11
    37. AI research evidence record anthropic:8-1
    38. AI research evidence record google:1.4.3
    39. AI research evidence record openai:c1
    40. AI research evidence record grok:web:2
    41. AI research evidence record google:1.3.2
    42. AI research evidence record google:1.3.5
    43. AI research evidence record anthropic:27-1
    44. AI research evidence record perplexity:5
    45. AI research evidence record deepseek:c1
    46. AI research evidence record google:1.1.2
    47. AI research evidence record anthropic:1-1
    48. AI research evidence record grok:web:0
    49. AI research evidence record kimi:thestacc-seoai
    50. AI research evidence record openai:c1
    51. AI research evidence record deepseek:c1
    52. AI research evidence record perplexity:3
    53. AI research evidence record anthropic:27-1
    54. AI research evidence record anthropic:27-16
    55. AI research evidence record kimi:seorav-llm-tracking
    56. AI research evidence record anthropic:42-5
    57. AI research evidence record anthropic:42-6
    58. AI research evidence record anthropic:40-1
    59. AI research evidence record anthropic:3-2
    60. AI research evidence record anthropic:7-3
    61. AI research evidence record perplexity:2
    62. AI research evidence record perplexity:1
    63. AI research evidence record deepseek:c2
    64. AI research evidence record openai:c3
    65. AI research evidence record anthropic:22-8
    66. AI research evidence record perplexity:13
    67. AI research evidence record openai:c2
    68. AI research evidence record openai:c5
    69. AI research evidence record anthropic:20-11
    70. AI research evidence record anthropic:27-1
    71. AI research evidence record anthropic:24-1
    72. AI research evidence record openai:c4
    73. AI research evidence record anthropic:1-13
    74. AI research evidence record anthropic:1-11
    75. AI research evidence record google:1.4.3
    76. AI research evidence record anthropic:9-4
    77. AI research evidence record openai:c1
    78. AI research evidence record anthropic:36-3
    79. AI research evidence record google:1.3.5
    80. AI research evidence record google:1.3.8
    81. AI research evidence record perplexity:14
    82. AI research evidence record anthropic:41-2
    83. AI research evidence record openai:c1
    84. AI research evidence record google:1.1.2
    85. AI research evidence record anthropic:15-6
    86. AI research evidence record anthropic:15-7
    87. AI research evidence record google:1.1.7
    88. AI research evidence record google:1.2.5
    89. AI research evidence record openai:c7
    90. AI research evidence record anthropic:12-5
    91. AI research evidence record anthropic:14-11
    92. AI research evidence record anthropic:15-1
    93. AI research evidence record anthropic:3-2
    94. AI research evidence record anthropic:7-3
    95. AI research evidence record perplexity:2
    96. AI research evidence record openai:c6
    97. AI research evidence record perplexity:8
    98. AI research evidence record kimi:thestacc-seoai
    99. AI research evidence record openai:c1
    100. AI research evidence record anthropic:15-1
    101. AI research evidence record grok:web:0
    102. AI research evidence record anthropic:7-7
    103. AI research evidence record anthropic:12-3
    104. AI research evidence record perplexity:14
    105. AI research evidence record anthropic:41-2
    106. AI research evidence record openai:c1
    107. AI research evidence record anthropic:27-4
    108. AI research evidence record anthropic:27-1
    109. AI research evidence record anthropic:15-1
    110. AI research evidence record anthropic:41-2
    111. AI research evidence record anthropic:40-1
    112. AI research evidence record openai:c1
    113. AI research evidence record kimi:seorav-llm-tracking
    114. AI research evidence record anthropic:15-1
    115. AI research evidence record anthropic:41-2
    116. AI research evidence record kimi:aiagentsquare-seoai
    117. AI research evidence record grok:web:0
    118. AI research evidence record anthropic:27-16
    119. AI research evidence record openai:c1
    120. AI research evidence record anthropic:3-2
    121. AI research evidence record perplexity:2
    122. AI research evidence record anthropic:10-3
    123. AI research evidence record perplexity:1
    124. AI research evidence record anthropic:15-1
    125. AI research evidence record anthropic:27-1
    126. AI research evidence record openai:c7
    127. AI research evidence record perplexity:14
    128. AI research evidence record perplexity:8
    129. AI research evidence record openai:c1
    130. AI research evidence record anthropic:1-1
    131. AI research evidence record grok:web:0
    132. AI research evidence record google:1.1.2
    133. AI research evidence record anthropic:15-1
    134. AI research evidence record anthropic:9-4
    135. AI research evidence record anthropic:27-1
    136. AI research evidence record anthropic:42-5
    137. AI research evidence record anthropic:27-16
    138. AI research evidence record deepseek:c1
    139. AI research evidence record deepseek:c2
    140. AI research evidence record openai:c1
    141. AI research evidence record anthropic:1-1

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  • Clearscope Review — Content Optimization Tool: https://www.g2.com/products/clearscope/reviews
  • Clearscope Review for Agencies (2026): Is It Worth It, and What Are the Alternatives? | Rankability Blog: https://www.rankability.com/blog/clearscope-content-optimization-tool-review/
  • Entity-Based SEO: The Complete Guide to Topical Authority 2026: https://www.stackmatix.com/blog/entity-based-seo-topical-authority
  • Clearscope review: A well-rounded SEO optimization tool for business use - TechRadar: https://www.techradar.com/reviews/clearscope
  • Clearscope Review (2026): Pricing, Features, Alternatives: https://www.tooljunction.io/ai-tools/clearscope
  • Additional AI research evidence141 records
    1. AI research evidence record openai:c1
    2. AI research evidence record openai:c4
    3. AI research evidence record google:1.3.2
    4. AI research evidence record anthropic:42-5
    5. AI research evidence record anthropic:27-1
    6. AI research evidence record openai:c1
    7. AI research evidence record anthropic:1-1
    8. AI research evidence record google:1.1.2
    9. AI research evidence record grok:web:0
    10. AI research evidence record kimi:thestacc-seoai
    11. AI research evidence record deepseek:c1
    12. AI research evidence record perplexity:3
    13. AI research evidence record openai:c3
    14. AI research evidence record openai:c4
    15. AI research evidence record google:1.3.2
    16. AI research evidence record anthropic:22-1
    17. AI research evidence record anthropic:24-1
    18. AI research evidence record openai:c1
    19. AI research evidence record anthropic:15-6
    20. AI research evidence record anthropic:15-7
    21. AI research evidence record google:1.1.2
    22. AI research evidence record grok:web:0
    23. AI research evidence record kimi:thestacc-seoai
    24. AI research evidence record perplexity:3
    25. AI research evidence record deepseek:c1
    26. AI research evidence record deepseek:c2
    27. AI research evidence record anthropic:23-1
    28. AI research evidence record anthropic:23-2
    29. AI research evidence record anthropic:23-5
    30. AI research evidence record openai:c3
    31. AI research evidence record openai:c2
    32. AI research evidence record openai:c5
    33. AI research evidence record anthropic:24-1
    34. AI research evidence record anthropic:24-2
    35. AI research evidence record openai:c4
    36. AI research evidence record anthropic:1-11
    37. AI research evidence record anthropic:8-1
    38. AI research evidence record google:1.4.3
    39. AI research evidence record openai:c1
    40. AI research evidence record grok:web:2
    41. AI research evidence record google:1.3.2
    42. AI research evidence record google:1.3.5
    43. AI research evidence record anthropic:27-1
    44. AI research evidence record perplexity:5
    45. AI research evidence record deepseek:c1
    46. AI research evidence record google:1.1.2
    47. AI research evidence record anthropic:1-1
    48. AI research evidence record grok:web:0
    49. AI research evidence record kimi:thestacc-seoai
    50. AI research evidence record openai:c1
    51. AI research evidence record deepseek:c1
    52. AI research evidence record perplexity:3
    53. AI research evidence record anthropic:27-1
    54. AI research evidence record anthropic:27-16
    55. AI research evidence record kimi:seorav-llm-tracking
    56. AI research evidence record anthropic:42-5
    57. AI research evidence record anthropic:42-6
    58. AI research evidence record anthropic:40-1
    59. AI research evidence record anthropic:3-2
    60. AI research evidence record anthropic:7-3
    61. AI research evidence record perplexity:2
    62. AI research evidence record perplexity:1
    63. AI research evidence record deepseek:c2
    64. AI research evidence record openai:c3
    65. AI research evidence record anthropic:22-8
    66. AI research evidence record perplexity:13
    67. AI research evidence record openai:c2
    68. AI research evidence record openai:c5
    69. AI research evidence record anthropic:20-11
    70. AI research evidence record anthropic:27-1
    71. AI research evidence record anthropic:24-1
    72. AI research evidence record openai:c4
    73. AI research evidence record anthropic:1-13
    74. AI research evidence record anthropic:1-11
    75. AI research evidence record google:1.4.3
    76. AI research evidence record anthropic:9-4
    77. AI research evidence record openai:c1
    78. AI research evidence record anthropic:36-3
    79. AI research evidence record google:1.3.5
    80. AI research evidence record google:1.3.8
    81. AI research evidence record perplexity:14
    82. AI research evidence record anthropic:41-2
    83. AI research evidence record openai:c1
    84. AI research evidence record google:1.1.2
    85. AI research evidence record anthropic:15-6
    86. AI research evidence record anthropic:15-7
    87. AI research evidence record google:1.1.7
    88. AI research evidence record google:1.2.5
    89. AI research evidence record openai:c7
    90. AI research evidence record anthropic:12-5
    91. AI research evidence record anthropic:14-11
    92. AI research evidence record anthropic:15-1
    93. AI research evidence record anthropic:3-2
    94. AI research evidence record anthropic:7-3
    95. AI research evidence record perplexity:2
    96. AI research evidence record openai:c6
    97. AI research evidence record perplexity:8
    98. AI research evidence record kimi:thestacc-seoai
    99. AI research evidence record openai:c1
    100. AI research evidence record anthropic:15-1
    101. AI research evidence record grok:web:0
    102. AI research evidence record anthropic:7-7
    103. AI research evidence record anthropic:12-3
    104. AI research evidence record perplexity:14
    105. AI research evidence record anthropic:41-2
    106. AI research evidence record openai:c1
    107. AI research evidence record anthropic:27-4
    108. AI research evidence record anthropic:27-1
    109. AI research evidence record anthropic:15-1
    110. AI research evidence record anthropic:41-2
    111. AI research evidence record anthropic:40-1
    112. AI research evidence record openai:c1
    113. AI research evidence record kimi:seorav-llm-tracking
    114. AI research evidence record anthropic:15-1
    115. AI research evidence record anthropic:41-2
    116. AI research evidence record kimi:aiagentsquare-seoai
    117. AI research evidence record grok:web:0
    118. AI research evidence record anthropic:27-16
    119. AI research evidence record openai:c1
    120. AI research evidence record anthropic:3-2
    121. AI research evidence record perplexity:2
    122. AI research evidence record anthropic:10-3
    123. AI research evidence record perplexity:1
    124. AI research evidence record anthropic:15-1
    125. AI research evidence record anthropic:27-1
    126. AI research evidence record openai:c7
    127. AI research evidence record perplexity:14
    128. AI research evidence record perplexity:8
    129. AI research evidence record openai:c1
    130. AI research evidence record anthropic:1-1
    131. AI research evidence record grok:web:0
    132. AI research evidence record google:1.1.2
    133. AI research evidence record anthropic:15-1
    134. AI research evidence record anthropic:9-4
    135. AI research evidence record anthropic:27-1
    136. AI research evidence record anthropic:42-5
    137. AI research evidence record anthropic:27-16
    138. AI research evidence record deepseek:c1
    139. AI research evidence record deepseek:c2
    140. AI research evidence record openai:c1
    141. AI research evidence record anthropic:1-1

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
54
Ranking mentions
6 of 7
Platform share
86%
Final consensus rank
#3

Research trail and source mix

Configured platforms

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

Source mix

32 independent · 22 company-owned

Evidence support

46 direct · 7 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 719251fcd919d5d1c8234e7071d6ee9b24b30ba766e976f07ab897b0b4a4f0d4