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Rankability AI SEO Tools Overall Fit Review

Rankability is a good fit for a US marketing team that wants one platform for traditional SEO, AI-search visibility tracking, topic and competitor research, content briefs, and optimization.

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

Answer Capsule

Rankability is a good fit for a US marketing team that wants one platform for traditional SEO, AI-search visibility tracking, topic and competitor research, content briefs, and optimization. Three of seven platforms named it during ranking discovery — Anthropic (rank 1), Google (rank 4), and Perplexity (rank 10) — for an average listed rank of 5.0 and a 42.9% share of included platform responses. The strongest reason to consider it is the combination of AI-answer monitoring with research-to-optimization workflow in one subscription. The main limitation is that most capability claims are company-owned, and public pricing, plan names, and API availability conflict across sources.

Research Snapshot

FieldFinding
Platform mentions in ranking stage3 of 7 platforms (anthropic, google, perplexity)
Share of included platform responses42.9%
Average listed rank5.0
Best listed rank1 (anthropic)
Relevant product/model/planRankability Core Plan, Rankability platform, Team Plan
Overall use-case fitGood (openai: good; anthropic: good; google: strong; grok: strong; perplexity: mixed; kimi: uncertain; deepseek: good)
Research date2026-09-18

Why Rankability Qualified for This Study

Questions This Section Answers

  • Why did Rankability qualify for this AI SEO Tools ranking when only three platforms named it?
  • Is Rankability a legitimate contender for AI search visibility, or did it qualify on traditional SEO features alone?

Rankability qualified because three of the seven included platforms named it during ranking discovery, clearing the two-mention minimum for this study. Anthropic listed it first, Google listed it fourth, and Perplexity listed it tenth [1]. The remaining four platforms — OpenAI, Grok, Kimi, and DeepSeek — evaluated Rankability's fit but did not name it in their ranked lists.

Qualification rests on the buyer's stated criteria rather than on brand recognition. Rankability's public materials describe AI visibility tracking for mentions, sentiment, citations, sources, and competitive position across multiple AI answer platforms [4], plus keyword and topic discovery, clustering, competitor gap analysis, and AI-search data [5]. Independent directories list AI Mention Tracking, AI Visibility Score, Citation Intelligence, Competitive Benchmarking, Content Gap Analysis, and GEO Optimization among its feature categories [6].

The qualification is not a quality endorsement. AI-platform agreement reflects how often a tool surfaced in model-generated recommendations, not verified performance. Most capability evidence reviewed is company-owned, and independent evidence demonstrating improved rankings, AI mentions, citations, or revenue was not identified [8].

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

Questions This Section Answers

  • Which Rankability plan should a buyer choose for AI SEO Tools if the team needs Gemini, Perplexity, and Claude coverage?
  • Is the Rankability Core Plan enough for a marketing team tracking AI search visibility, or is the Team Plan required?

The relevant offering is the Rankability platform, sold as Core and Team plans, with a Starter tier also listed on the current pricing page. Core is the plan most platforms cited for this use case; Team is the plan that adds the broader AI-platform coverage the buyer's brief implies.

Plan boundaries differ by source, and the differences matter for AI SEO Tools specifically. Rankability's pricing page lists Starter at $99 per month, Core at $199 per month, and Team at $399 per month, with annual billing at $990, $1,990, and $3,990 respectively [9]. One platform's summary of the same page describes Starter as covering ChatGPT, Google AI Mode, and Claude; Core as adding Google AI Overviews and Perplexity; and Team as adding Gemini, Grok, and Microsoft Copilot [12]. Another platform's summary of the same page states that Core includes 125 daily active prompts and 3 workspaces, while Team includes 250 daily active prompts and 10 workspaces, with unlimited seats on both [15].

Those two readings are not identical, and a third platform reports a different structure entirely — Core at $199 per month with 3 seats and 25,000 credits, Team at $399 per month with 5 seats and 75,000 credits [16]. A fourth describes Core as including 2 users, 20 content optimizers, and 80 AI credits [17]. Because the buyer's brief names ChatGPT, Gemini, Perplexity, Claude, and Google AI search, the plan question is commercial, not cosmetic: if Gemini tracking sits only on Team, the effective entry price for this use case is $399 per month, not $199.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do multiple AI platforms agree Rankability does well for AI SEO Tools?
  • Does Rankability actually track brand mentions and citations across ChatGPT, Perplexity, and Google AI Overviews?

Agreement is strong but not unanimous on three points: AI-search visibility tracking, integrated research-to-optimization workflow, and agency-oriented team features.

On AI-search visibility, multiple platforms describe tracking of brand mentions, sentiment, cited sources, citation changes, and competitive position across AI platforms including ChatGPT, Gemini, Claude, Perplexity, Copilot, Grok, Google AI Mode, and Google AI Overviews, with availability depending on plan [18]. Independent sources list AI Mention Tracking, AI Visibility Score, and Citation Intelligence as feature categories [20], and one independent review describes a unified visibility index spanning Google, Bing, DuckDuckGo, Brave, and AI platforms [21]. A separate independent review reports tracking across ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Grok, Microsoft Copilot, Brave AI, and DeepSeek [22].

On workflow integration, platforms agree that Rankability bundles research, briefs, optimization, and tracking rather than selling them separately. Researcher supports discovery from Google, People Also Ask, YouTube, Reddit, trending topics, and AI expansion, with clustering, intent, volume, difficulty, CPC, opportunity scoring, competitor-domain analysis, and content-gap identification [23]. Copywriter builds briefs from Google SERP competitors and AI-surfaced or cited sources, supports client knowledge-base context, and can optimize existing URLs [25]. Independent reviews describe the same bundle — keyword research, AI-powered briefs, page optimization, and AI search tracking in one platform [28].

On team features, the pricing page lists unlimited seats, API access, hosted MCP, client portals, shareable reports, and integrations with Google Search Console, Google Analytics 4, Google Business Profile, YouTube, WordPress, Webflow, and GitHub pull requests [31]. Independent reviews describe white-label reporting and client workspaces as agency-oriented strengths [32].

Agreement here does not establish product quality. It establishes that multiple models, drawing on overlapping public sources, describe the same feature set.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Why do sources disagree about Rankability's pricing and plan names for AI SEO Tools?
  • Is Rankability's API access real, or do conflicting reports mean buyers should verify it before signing?

Disagreement is concentrated in four areas: pricing and plan names, API availability, credit mechanics, and independent validation.

Pricing conflicts are the most material. The ranking-stage description cited Core at $199 per month billed annually, while the current public pricing page separately lists $199 monthly and $1,990 annually, an effective annualized cost of about $165.83 per month [34]. One platform reports Core at $99 per month and different tier names altogether [35], another reports Core, Team, and Agency at $199, $399, and $799 [37], and another reports a $49 per month entry point [38]. Independent reviews report a $124 per month starting point and describe frequent, rapid pricing and package changes [39]. One platform's summary states that Starter at $99 is no longer available to new signups and that a legacy $149 Starter exists for v1 users only [37]. These are not reconcilable from the supplied evidence.

API availability is directly contradictory. Independent sources from 2026 report no public API, no Zapier support, and no Make support [40], with G2 users reporting limited automation capabilities and integration issues [42]. Rankability's own developers page states that API access is included on every plan [44], and an independent review notes MCP server support for connecting to Claude Desktop and AI assistants [45]. The conflict cannot be resolved without contacting Rankability.

Credit mechanics are opaque. One independent review reports that the pricing page defines plans by daily prompts and credits but never states what a credit buys [46]. No independent source successfully reverse-engineered per-action credit pricing.

Independent validation is thin. One platform found no independent review or comparison of Rankability in its searched sources and rated fit uncertain [47]. Another found independent evidence sparse and rated fit mixed [48]. A third noted that several capability claims come from review or directory pages rather than vendor documentation [49]. One platform's research was conducted without search enabled, on 2026-06-09, and its findings are correspondingly limited [52].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Rankability cover content briefs, competitive analysis, and topic discovery for AI SEO Tools, or only AI visibility tracking?
  • How does Rankability's GEO optimization compare with purpose-built answer-engine platforms?

Rankability covers the buyer's full criteria list, with the strongest evidence on research, briefs, and tracking, and the weakest on technical SEO and GEO depth.

Content research and topic discovery. Researcher supports discovery from Google, People Also Ask, YouTube, Reddit, trending topics, and AI expansion, plus clustering, intent, volume, difficulty, CPC, opportunity scoring, competitor-domain analysis, and content-gap identification [53]. Independent sources describe keyword discovery from Google, YouTube, Reddit, and AI platforms with clustering and competitor gap analysis [54].

Content briefs. Copywriter builds briefs from Google SERP competitors and AI-surfaced or cited sources, with client knowledge-base context, topic coverage, keyword placement, editor feedback, uniqueness guidance, and existing-URL optimization [55]. Independent reviews describe briefs generated from both traditional SERPs and AI sources [57] and outlines based on top-ranking content analysis and search-intent research [58].

Optimization recommendations. The Optimizer scores content against real competitors and provides a prioritized checklist for topic coverage and keyword placement [59]. Rankability states that generated drafts require human editorial and publishing approval, and that its content score measures topic coverage and primary-keyword placement — not factual accuracy, originality, brand compliance, conversions, future rankings, or AI citations [55].

Competitive analysis. Competitive analysis shows content gaps and opportunities, and can compare brand frequency and position against competitors in AI-generated content [60]. Independent directories list Competitive Benchmarking and Content Gap Analysis as feature categories [61].

AI-search visibility. The tracker records daily brand mentions, sentiment, cited sources, citation changes, and competitive position across AI platforms, with availability depending on plan [62]. Traditional tracking for Google Search, Google Local, Bing, DuckDuckGo, and Brave Search is included on every paid plan [64].

Technical SEO. Rankability does not offer full site audits or technical SEO checks; its scope is content optimization and visibility tracking rather than crawlability or site health [65].

GEO depth. Rankability's own blog positions it alongside Surfer and Clearscope as a leading AI SEO tool [66], while an independent review critiques it for optimizing traditional SEO signals rather than the newer GEO landscape [65]. One platform notes that GEO recommendations may not run as deep as purpose-built answer-engine platforms [57].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Rankability cost per month for AI SEO Tools, and does annual billing actually save money?
  • Are there setup, overage, or add-on fees beyond the Rankability Core and Team plan prices?

Listed prices are consistent across several sources at the Core and Team tiers, but the surrounding terms are not.

PlanMonthlyAnnualAnnualized monthly
Starter$99$990~$82.50
Core$199$1,990~$165.83
Team$399$3,990~$332.50

Sources: [67]. Annual billing is advertised as a 17% saving [71].

Additional fees are only partly documented. Additional AI platforms can be added à la carte, but the public pricing page does not state the per-platform fee [70]. More than 10 brand workspaces requires discussing a larger plan [70]. One platform reports that extra credits beyond plan allowance are consumed per API call, AI operation, and research execution, with the rate unpublished [72]. Another reports that platform users can buy individual AI engine add-ons directly from billing without moving to a higher base tier [73].

Contract terms conflict with the "cancel anytime" framing found in some summaries. Rankability's legal terms state that certain plans may require a fixed commitment, including a 12-month commitment identified at checkout; that monthly charges on a fixed-term plan are installments toward the total contract price and do not create a month-to-month right to cancel; that providing notice of non-renewal does not erase the balance remaining for the current commitment period; and that all payments are final and strictly non-refundable to the fullest extent permitted by law (official:C3). One platform reports a seven-day free trial on monthly billing [70], while independent reviews report no standard free trial and no money-back guarantee in 2026 [74]. Prices are stated in US dollars, and applicable sales, use, value-added, or similar taxes are added where required by law (official:C3).

Best Suited For

Questions This Section Answers

  • Is Rankability a good choice for an agency managing multiple clients across AI search platforms?
  • Which marketing teams get the most value from Rankability's Core or Team plan?

Rankability is best suited to marketing teams and agencies that want one subscription covering traditional SEO research, AI-search visibility tracking, content briefs, and optimization.

Platforms converge on this profile. OpenAI describes the best fit as teams monitoring brand mentions, citations, sentiment, and competitive position across multiple AI answer platforms, and teams combining keyword research, competitor gap analysis, AI-search research, content briefs, and optimization in one workflow [76]. Anthropic describes agencies managing 10 or more clients needing multi-client content workflow consolidation, organizations requiring white-label reporting and client portals, and agencies billing $150 or more per hour where per-client cost justifies the tooling [77]. Google describes marketing teams and agencies wanting to track and optimize brand visibility across traditional and generative AI search, and organizations wanting a unified workflow with topic research, automated briefs, AI drafting, real-time optimization scoring, and white-label client reporting [78]. Grok describes agencies or teams managing multiple clients with bundled research, content creation and optimization, and multi-platform AI visibility tracking [79].

The Team plan is the better fit when the buyer's brief names Gemini, Grok, or Microsoft Copilot, since those platforms are listed as Team-plan coverage [81].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Rankability for AI SEO Tools?
  • Is Rankability a poor fit for a solo freelancer or a team that needs verified performance outcomes?

Rankability is probably not the right choice for buyers who need independently validated outcomes, enterprise technical SEO, or a low-cost entry point.

Platforms identify four exclusion profiles. First, buyers requiring independently validated performance outcomes or guaranteed visibility improvements — no independent evidence demonstrating improved rankings, AI mentions, citations, or revenue was identified [82]. Second, organizations needing broad enterprise technical SEO, large-scale crawling, log analysis, or mature third-party market validation; Rankability does not offer full site audits or technical SEO checks [83]. Third, teams needing every AI platform on the Core plan, since Gemini, Grok, and Microsoft Copilot are listed as Team-plan platforms [84]. Fourth, solo practitioners and freelancers without multiple high-value client retainers, and teams prioritizing low-cost solutions where alternatives start at $49–$99 per month [86].

One platform rated fit uncertain specifically because no independent review, pricing confirmation, or feature analysis was found in its searched sources [87]. Buyers who treat third-party validation as a procurement requirement should weigh that finding heavily.

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Rankability for a buyer who needs verified AI-search tracking at a lower price?
  • When should a buyer choose a dedicated AI visibility tracker or an enterprise SEO suite instead of Rankability?

Alternatives are better in five identifiable situations, based on platform-supplied comparisons.

Dedicated AI visibility tracking without traditional SEO research. Consider AIclicks, Rankscale AI, or Semrush AI Visibility at $99–$199 per month per domain [88]. One platform reports Semrush AI Visibility Toolkit at $99 per month [89].

Lower-cost AI SEO features. SE Ranking offers similar AI SEO features at roughly $89–$99 per month base, with one review reporting Core at $103.20 per month annual and 2,000 keywords tracked daily [90].

Deep API automation or programmatic data access. Consider Clearscope or Profound with native API [90]. This recommendation is complicated by the unresolved API conflict described above.

Enterprise technical SEO. Consider Ahrefs, Semrush, or SE Ranking for full technical audit, crawl analysis, or backlink monitoring [90].

Purpose-built answer-engine optimization. Consider Profound or LLM Pulse for granular prompt-level sentiment and engagement metrics [90]. One platform notes that Rankability's individual modules may not match specialists such as Ahrefs or MarketMuse [92].

Managed GEO/AEO services. One platform reports OmniSEO offering $3,000+ per month professional services with platform integration [93].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Rankability before signing an annual contract for AI SEO Tools?
  • How can a buyer resolve the conflicting pricing and API information before purchasing Rankability?

The verification list below consolidates the open items platforms flagged. Each one is unresolved in the supplied evidence.

Platform coverage. Confirm whether Core supports the team's required platforms, especially Gemini, Grok, and Microsoft Copilot, or whether Team is required [94].

Pricing and plan names. Confirm the exact current price for Core and Team, whether billing is monthly or annual by default, and whether Starter, Scale, or legacy tiers remain available under any conditions [96].

Credit and overage pricing. Request the exact cost per action — content research, brief generation, optimization run, AI tracking query — in credits, plus any higher prompt-volume tiers [99].

API and automation. Confirm whether API access is included on Core and Team, what rate limits and throughput apply, and whether Zapier, Make, or native WordPress/Webflow publishing integrations exist [100].

Measurement methodology. Ask how AI mentions, citations, sentiment, and competitive position are sampled, deduplicated, and historically retained, and whether teams can control language, location, device, model version, and search mode [94].

Contract terms. Confirm annual renewal, cancellation, refund, downgrade, data-export, and data-retention terms, given that the legal terms describe fixed-term commitments and non-refundable payments (official:C3).

Independent evidence. Ask whether Rankability can demonstrate results from comparable marketing teams using independent or auditable before-and-after measurements [103].

Final AI Consensus Verdict

Rankability is a good fit for a US marketing team seeking AI SEO Tools, with the caveat that most supporting evidence is company-owned and several commercial details conflict across sources.

Three of seven platforms named it during ranking discovery, at an average listed rank of 5.0 and a best rank of 1. Fit ratings split across the seven platforms: strong (google, grok), good (openai, anthropic, deepseek), mixed (perplexity), and uncertain (kimi). That spread reflects the underlying evidence, not a settled consensus.

The strongest case for Rankability is workflow consolidation: AI-search visibility tracking, keyword and topic research, competitor gap analysis, content briefs, and optimization in one subscription, with unlimited seats and client portals [105]. The strongest case against is evidentiary: no independent evidence demonstrating improved rankings, AI mentions, citations, or revenue was identified, and public pricing, plan names, and API availability conflict across sources [109].

Treat Rankability's visibility scores and AI-search recommendations as decision-support data rather than independently proven predictors of rankings or citations. Verify platform coverage, credit pricing, API scope, and contract terms directly with Rankability before committing to annual billing.

How This Review Was Produced

This review evaluates Rankability only for the AI SEO Tools use case described in the topic configuration: content research, optimization recommendations, competitive analysis, topic discovery, content briefs, and AI-search capabilities across traditional search and AI-generated search experiences. It is not a broad company review.

Seven AI platforms evaluated Rankability's fit: OpenAI (gpt-5.6-luna), Anthropic (claude-haiku-4-5-20251001), Google (gemini-3.5-flash), Grok (x-ai/grok-4.3), Perplexity (perplexity/sonar), Kimi (moonshotai/kimi-k2.6), and DeepSeek (deepseek-v4-flash). Six ran with search enabled; DeepSeek ran without search. Platform mentions in the ranking stage count only platforms that named Rankability during ranking discovery, which is why the mention count (3) is lower than the platform count (7).

All platform outputs are platform-reported and were not independently verified. Citations are platform-reported evidence, not verified facts. The supplied URLs were collected from platform responses and were not independently validated. Where a claim rests only on a platform's assertion without a retrieved source, it is labeled platform-reported.

Methodology Limitations

Several limitations constrain the conclusions in this review.

Conflicting commercial details were not resolved. Pricing, plan names, seat counts, credit allowances, and API availability differ across sources, and this review reports the conflict rather than picking a winner [113].

Company-owned evidence dominates. Most capability and performance claims reviewed come from Rankability's own pages. Independent evidence demonstrating improved rankings, AI mentions, citations, or revenue was not identified [117].

Research dates differ from the study date. The authoritative run date is 2026-09-18. Six platforms report that date; DeepSeek reports 2026-06-09 and ran without search enabled. Platform-reported dates are provenance metadata and do not independently prove freshness.

AI-platform agreement is not quality evidence. Multiple models describing the same feature set reflects overlapping public sources, not verified performance.

Measurement reproducibility is unestablished. AI visibility measurements can vary by prompt, location, model version, retrieval state, and sampling methodology, and the reviewed materials do not provide independent reproducibility or third-party validation [118].

No personal testing was performed. This review synthesizes platform-reported research and supplied sources only.

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

Sources

Company-Owned Sources

  • Rankability Official Website: https://www.rankability.com/
  • What can an AI SEO agent actually do in 2026? (and not do) | Rankability: https://www.rankability.com/blog/ai-seo-agent-capabilities/
  • We tested 15 best AI SEO tools. here's our favorite for 2026 | Rankability Blog: https://www.rankability.com/blog/best-ai-seo-tools/
  • Profound AI vs Scrunch vs Rankability: choosing the right: https://www.rankability.com/blog/profound-ai-vs-scrunch-vs-rankability/
  • Developers — Rankability API Reference: https://www.rankability.com/developers/
  • Rankability FAQ — Everything You Need to Know: https://www.rankability.com/faq/
  • LLM Rank Tracker: Monitor Your Brand's LLM Visibility | Rankability: https://www.rankability.com/llm-rank-tracker/
  • Create New Content for AI Search | Rankability: https://www.rankability.com/product/create/
  • AI Content Writer for SEO Agencies | Rankability: https://www.rankability.com/products/copywriter/
  • SEO Keyword Research Software for Agencies | Rankability: https://www.rankability.com/products/researcher/
  • Official pricing and terms source: https://www.rankability.com/terms/
  • Additional AI research evidence118 records
    1. AI research evidence record anthropic:1-1
    2. AI research evidence record google:1.2.2
    3. AI research evidence record perplexity:c1
    4. AI research evidence record openai:c2
    5. AI research evidence record openai:c3
    6. AI research evidence record anthropic:19-2
    7. AI research evidence record anthropic:19-3
    8. AI research evidence record openai:c6
    9. AI research evidence record anthropic:28-3
    10. AI research evidence record anthropic:28-4
    11. AI research evidence record grok:web:11
    12. AI research evidence record anthropic:28-10
    13. AI research evidence record anthropic:28-11
    14. AI research evidence record anthropic:28-12
    15. AI research evidence record openai:c1
    16. AI research evidence record anthropic:30-2
    17. AI research evidence record anthropic:8-1
    18. AI research evidence record openai:c2
    19. AI research evidence record perplexity:c1
    20. AI research evidence record anthropic:19-2
    21. AI research evidence record anthropic:27-7
    22. AI research evidence record anthropic:9-9
    23. AI research evidence record openai:c3
    24. AI research evidence record anthropic:27-4
    25. AI research evidence record openai:c4
    26. AI research evidence record openai:c5
    27. AI research evidence record anthropic:23-1
    28. AI research evidence record anthropic:2-1
    29. AI research evidence record anthropic:7-2
    30. AI research evidence record anthropic:24-1
    31. AI research evidence record openai:c1
    32. AI research evidence record grok:web:3
    33. AI research evidence record grok:web:4
    34. AI research evidence record openai:c1
    35. AI research evidence record perplexity:c3
    36. AI research evidence record perplexity:c11
    37. AI research evidence record anthropic:29-1
    38. AI research evidence record perplexity:c7
    39. AI research evidence record google:1.3.4
    40. AI research evidence record anthropic:42-1
    41. AI research evidence record anthropic:40-1
    42. AI research evidence record anthropic:41-1
    43. AI research evidence record anthropic:38-1
    44. AI research evidence record anthropic:45-3
    45. AI research evidence record anthropic:42-4
    46. AI research evidence record anthropic:32-2
    47. AI research evidence record kimi:rankability-site
    48. AI research evidence record deepseek:c3
    49. AI research evidence record perplexity:c9
    50. AI research evidence record perplexity:c12
    51. AI research evidence record perplexity:c13
    52. AI research evidence record deepseek:c1
    53. AI research evidence record openai:c3
    54. AI research evidence record anthropic:27-4
    55. AI research evidence record openai:c4
    56. AI research evidence record openai:c5
    57. AI research evidence record anthropic:23-1
    58. AI research evidence record anthropic:25-1
    59. AI research evidence record anthropic:27-6
    60. AI research evidence record anthropic:25-3
    61. AI research evidence record anthropic:19-3
    62. AI research evidence record openai:c2
    63. AI research evidence record perplexity:c1
    64. AI research evidence record openai:c1
    65. AI research evidence record anthropic:38-3
    66. AI research evidence record anthropic:4-2
    67. AI research evidence record anthropic:28-3
    68. AI research evidence record anthropic:28-4
    69. AI research evidence record grok:web:11
    70. AI research evidence record openai:c1
    71. AI research evidence record anthropic:29-4
    72. AI research evidence record anthropic:32-2
    73. AI research evidence record google:1.2.2
    74. AI research evidence record google:1.3.5
    75. AI research evidence record google:1.2.7
    76. AI research evidence record openai:c1
    77. AI research evidence record anthropic:35-2
    78. AI research evidence record google:1.2.7
    79. AI research evidence record grok:web:3
    80. AI research evidence record grok:web:4
    81. AI research evidence record anthropic:28-12
    82. AI research evidence record openai:c6
    83. AI research evidence record anthropic:38-3
    84. AI research evidence record openai:c1
    85. AI research evidence record anthropic:28-12
    86. AI research evidence record anthropic:35-2
    87. AI research evidence record kimi:rankability-site
    88. AI research evidence record anthropic:9-9
    89. AI research evidence record kimi:sightivo-semrush-ai
    90. AI research evidence record anthropic:35-2
    91. AI research evidence record kimi:northiscale-seranking
    92. AI research evidence record google:1.2.7
    93. AI research evidence record kimi:toolchase-omniseo
    94. AI research evidence record openai:c1
    95. AI research evidence record anthropic:28-12
    96. AI research evidence record perplexity:c3
    97. AI research evidence record anthropic:29-1
    98. AI research evidence record google:1.3.4
    99. AI research evidence record anthropic:32-2
    100. AI research evidence record anthropic:45-3
    101. AI research evidence record anthropic:42-1
    102. AI research evidence record anthropic:40-1
    103. AI research evidence record openai:c6
    104. AI research evidence record kimi:rankability-site
    105. AI research evidence record openai:c1
    106. AI research evidence record openai:c3
    107. AI research evidence record openai:c4
    108. AI research evidence record anthropic:27-4
    109. AI research evidence record openai:c6
    110. AI research evidence record anthropic:42-1
    111. AI research evidence record anthropic:45-3
    112. AI research evidence record perplexity:c3
    113. AI research evidence record perplexity:c3
    114. AI research evidence record anthropic:29-1
    115. AI research evidence record anthropic:42-1
    116. AI research evidence record anthropic:45-3
    117. AI research evidence record openai:c6
    118. AI research evidence record openai:c1

Independent Sources

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

Research trail and source mix

Configured platforms

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

Source mix

29 independent · 14 company-owned

Evidence support

16 direct · 9 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 6b6e879bb449d8e1748a6fc673ed5a3b03a3c8072b0cd709380ff2b7faf3a962