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AI Consensus Fit Review

Profound AI Search Partner Fit Review for Citation Intelligence and GEO Strategy

Profound is a good fit, with qualifications, for companies that need citation intelligence and practical GEO strategy and can support enterprise procurement.

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

Answer Capsule

Profound is a good fit, with qualifications, for companies that need citation intelligence and practical GEO strategy and can support enterprise procurement. Five of seven platforms named Profound during ranking discovery, with an average listed rank of 2.2 and a best rank of 1. Its strongest case is breadth: prompt-level citation tracking, source-URL analysis, competitor benchmarking, AI-crawler analytics, and content-optimization agents in one platform. The main limitation is verification. Pricing, plan inclusions, contract terms, the relationship between profound.ai, tryprofound.com, and Profound Strategy, and independent outcome evidence are all unresolved in the supplied research. Buyers should shortlist Profound, then confirm identity, pricing, engine coverage, and managed-service scope through a sales evaluation before signing.

Research Snapshot

FieldFinding
Platform mentions in ranking stage5 of 7 platforms (deepseek, google, grok, openai, perplexity)
Share of included platform responses71.4%
Average listed rank2.2
Best listed rank1 (deepseek, perplexity)
Relevant product/model/planProfound Answer Engine Insights and Content Optimization platform; Starter, Growth, and Enterprise tiers reported
Overall use-case fitGood, with qualification
Research date2026-09-18

Why Profound Qualified for This Study

Questions This Section Answers

  • Why did multiple AI platforms recommend Profound for citation intelligence and GEO strategy?
  • How often did AI platforms name Profound when asked for AI search partners?

Profound qualified because it was named by five of the seven platforms whose responses were included in this study, and because those mentions clustered near the top of each list. DeepSeek and Perplexity both placed it first; OpenAI placed it third; Google placed it second; Grok placed it fourth. That produces an average listed rank of 2.2 and a 71.4% share of included platform responses.

The platforms converged on a similar reason: Profound is positioned specifically around AI visibility and citation tracking rather than general SEO. Its own materials describe AI visibility measurement, cited sources, customer prompts, crawler behavior, content optimization, agents, CMS staging, and connections to traffic, conversions, pipeline, and revenue [1]. Independent descriptions characterize it as an enterprise-focused platform with citation attribution and exact source-URL analysis [2].

Two platforms also cited market validation. TechCrunch coverage confirms Profound is a venture-backed company operating in the AI search visibility space [3], and one review reports $96 million in Series C funding in February 2026 [4]. Those are platform-reported figures, not independently verified by this review.

This article evaluates Profound only for the AI Search Partners for Citation Intelligence and GEO Strategy use case. It is not a general company review. The broader AI Search Partners for Citation Intelligence and GEO Strategy index covers how this and other providers compared.

The Product, Model, Plan, or Service Most Relevant to AI Search Partners for Citation Intelligence and GEO Strategy

Questions This Section Answers

  • Which Profound plan is most relevant for a buyer that needs citation intelligence and GEO strategy?
  • Does Profound sell software only, or does it also offer managed GEO services?

The most relevant offering is the Profound Answer Engine Insights and Content Optimization platform, which platforms described under several overlapping names: "AI visibility analytics platform with managed services," "Enterprise AI Marketing Platform," and "Profound Platform (comprising Answer Engine Insights, Prompt Volumes, and Agents)." These names are not fully reconciled in the supplied research, and buyers should confirm the current product structure directly.

The core modules reported across platforms are:

  • Answer Engine Insights — citation-level visibility, source-URL analysis, sentiment, and competitive positioning [5].
  • Prompt Volumes — demand analysis built on real user conversations rather than synthetic queries [7].
  • Agent Analytics — AI-bot crawl tracking and crawl-error diagnostics tied to citation data [9].
  • Agents — no-code workflow automation that converts prompt and citation data into content briefs and optimized drafts [11].

A separate managed-content service, Profound Strategy, describes scalable content production, source-material verification, and SEO and AI growth programs [13]. Whether that service is included with the platform, sold separately, or delivered by the same contracting entity is unresolved in the supplied research. Buyers should treat managed GEO strategy as a scope question, not an assumption.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Profound does well for citation intelligence?
  • Is Profound considered strong for multi-engine AI visibility tracking?

Agreement was strong, though not unanimous, on four points.

Citation intelligence is the core strength. Every platform that named Profound described citation-level tracking. Company materials position Answer Engine Insights around identifying which sources and content AI engines cite, including citation-level visibility and competitive analysis [14]. Independent reviews report URL-level citation analysis and source categorization across owned, earned, and other source types [16].

Data comes from real user conversations. Multiple platforms flagged this as a differentiator versus synthetic-prompt competitors. One review states Profound analyzed 3.25 billion citations across 7 models and 14 countries in a query-language study [18]. Another reports the platform processes 5 million or more citations daily [19]. These are platform-reported or company-stated figures.

Coverage is broad at the top tier. Profound lists measurement across ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overviews, and other AI-search platforms [20]. One review counts 11 tracked platforms, including Grok, Meta AI, DeepSeek, and Amazon Rufus [21]. Another reports up to 10 engines at the Enterprise level [22].

Execution features exist beyond measurement. Platforms agreed that Profound includes content optimization, citation-decay remediation, AI-crawler accessibility work, and agent-driven content workflows [14]. Agreement here is about capability claims, not proven outcomes.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Where do AI platforms disagree about Profound's pricing and plan limits?
  • Is Profound's fit for agencies and multi-brand teams disputed?

Disagreement and uncertainty clustered around five issues.

Pricing. One independent comparison reports approximately $99 per month entry pricing and custom enterprise pricing above approximately $399 per month [25]. Other sources describe enterprise pricing as custom with no published rates [26]. One review reports a $99 Starter tier, a $399 Growth tier, and custom Enterprise pricing [28]. Another frames the same figures as annual-billing equivalents [30]. One platform reported no pricing information at all [31]. These are not reconcilable from the supplied evidence.

Engine coverage by tier. One source states Gemini, Claude, and Copilot tracking require Enterprise [32]. Another suggests the Growth plan may include some multi-platform support [33]. Google's research reports Starter tracks ChatGPT only, Growth tracks three engines, and Enterprise tracks up to 10 [34]. The exact engine list per tier needs verification.

Agency and multi-account fit. One platform reports Profound markets an agency solution for monitoring client visibility and narrative framing [36]. Another reports no multi-account management, with one workspace per account and separate accounts required per client brand [37]. These findings conflict and matter directly to agencies.

Managed services. One platform identified managed services as a possible component but could not confirm the engagement model from public information [26]. Another describes a related Profound Strategy managed-content offering without confirming it is part of the same commercial product [39].

Identity and domain. The supplied official website is profound.ai, but public search results primarily expose tryprofound.com, and a separate profoundstrategy.com service appears in results. The relationship among these domains and the exact contracting entity is unresolved [26]. The official-site retrieval for profound.ai failed during this study, so no official-page excerpt could be checked.

Fit ratings diverged. Platform fit ratings ranged from "strong" (google, grok) to "good" (anthropic, deepseek, openai) to "mixed" (perplexity) to "uncertain" (kimi). Kimi's uncertainty stemmed from an inability to verify product documentation, not from negative findings.

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Profound provide both citation intelligence and practical GEO execution for enterprise buyers?
  • What technical limitations should a buyer expect from Profound's GEO workflow?

Profound's fit for this use case rests on combining measurement with an execution layer, with important gaps.

CapabilityReported statusEvidence
Prompt-level citation trackingAdvantage
Source-URL and publisher analysisAdvantage
Multi-engine coverageAdvantage at Enterprise; gated below
Real-user prompt dataAdvantage
AI-crawler analyticsAdvantage, with CDN requirement
Content briefs and drafts via AgentsAdvantage, credit-based
CMS publishing integrationLimitation
Traditional technical SEO auditingLimitation
Multi-account agency workspacesDisputed
Revenue and pipeline attributionUnclear

Two capability notes deserve emphasis. First, Agent Analytics requires CDN connectivity through Cloudflare, Akamai, Fastly, AWS CloudFront, Google Cloud CDN, or Netlify, with WordPress support described as coming [40]. Buyers on Shopify or other hosting architectures may face integration friction. Second, Profound queries the frontend interfaces of AI engines rather than their APIs, which one review argues better matches real user experience [41].

On attribution, the platform claims connections between AI-search visibility, traffic, conversions, pipeline, and revenue [42]. Independent commentary notes that AI-origin attribution remains difficult and may require CRM, analytics, or self-reported attribution controls [43]. Treat revenue attribution as unproven by public materials.

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Profound cost per month, and is annual billing required?
  • What additional fees should a buyer expect beyond the Profound subscription?

Pricing is the least reliable part of the supplied evidence. Reported figures conflict, and no current official price sheet was available.

PlanReported priceReported inclusionsSource
Starter~$99/month, billed annuallyChatGPT only, 50 prompts, 1 seat
Growth~$399/month, billed annually3 engines, 100 prompts, content workflow tools
EnterpriseCustom quoteUp to 10–11 engines, unlimited prompts, Agent Analytics, API, SSO, SOC 2, HIPAA

One source frames the $99 and $399 figures as annual-billing equivalents rather than list monthly rates [44]. Another reports enterprise pricing above roughly $399 per month as custom [45]. One platform found no published pricing at all [46]. Treat every figure as unverified until quoted for the required engines, prompt volume, users, brands, and services.

Additional cost considerations reported across platforms:

  • Annual billing only for self-serve plans, with no monthly option publicly offered [47].
  • Credit-based Agent runs, with credit allocation per plan and overage pricing not publicly documented [48].
  • CDN infrastructure may be required for Agent Analytics, potentially adding cost [50].
  • Separate accounts per brand for agencies, multiplying subscription costs [51].
  • Possible onboarding, implementation, integration, and managed-service fees, none publicly verified [45].

Contract terms are largely undisclosed. One platform reports enterprise contracts move slowly with minimal refund policies [47]. Another found no public minimum term, renewal, cancellation, refund, service-level, or data-export terms [45]. A 7-day trial on the Growth tier is reported, with pre-configured prompts only [47].

Best Suited For

Questions This Section Answers

  • Who gets the most value from Profound for citation intelligence and GEO strategy?
  • Is Profound a good fit for enterprise brands tracking competitor citations across AI engines?

Profound is best suited to large companies and agencies monitoring brand visibility, citations, competitors, and share of voice across multiple AI answer engines [52]. The strongest fits reported across platforms:

  • Enterprise brands with dedicated AI search budgets, reported at $2,000 or more per month [54].
  • Teams that want measurement combined with content optimization, CMS staging, or managed services [52].
  • B2B and enterprise SaaS companies focused on answer-engine presence across ChatGPT, Perplexity, Gemini, and Google AI Overviews [55].
  • Organizations needing API integration into CRM, analytics, or data-warehouse stacks, with REST API, OAuth, and Node.js and Python SDKs reported [56].
  • Regulated industries requiring SOC 2 Type II, HIPAA, SSO, and RBAC at the Enterprise tier [57].
  • Buyers able to support enterprise procurement and a sales-led implementation [58].

One review reports a customer base of 2,000 or more marketers across 500 or more enterprise companies, including more than 10% of the Fortune 500 [59]. That figure is platform-reported.

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Profound for citation intelligence and GEO strategy?
  • Is Profound overkill for small teams or agencies managing many client brands?

Several buyer profiles are poor matches based on the supplied evidence.

  • Small teams seeking transparent self-serve pricing. Pricing is not reliably established, and one platform found no published rates at all [60].
  • Agencies managing five or more client brands. One platform reports no multi-account workspace support, requiring separate accounts per client [62]. This conflicts with another platform's report of an agency solution [63], so agencies should verify directly.
  • Buyers needing a fully independent GEO consultancy. Profound is a vendor platform, and managed GEO strategy may require separate services or internal execution capacity [60].
  • Organizations requiring publicly documented methodology or independently verified revenue attribution. Neither was established in the supplied research [64].
  • Teams without dedicated AEO expertise. Multiple reviewers note a steep learning curve and complexity for non-technical teams [65].
  • Companies unable to connect CDN infrastructure. Agent Analytics requires CDN connectivity [66].
  • Buyers needing immediate CMS publishing workflows. One review reports no CMS integration, with citation data and recommendations remaining inside the dashboard [67].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Profound for a buyer that needs transparent self-serve pricing?
  • When should a buyer choose a GEO agency or research provider instead of Profound?

Alternatives make sense in specific situations, based on platform-reported comparisons.

Lower-cost or self-serve visibility tracking. Choose a lower-cost self-serve tracker when the buyer has modest prompt volume, few brands, and primarily needs monitoring rather than enterprise analytics [68]. One platform names Semrush AEO, Peec AI, and HubSpot AEO as lower-cost entry points [69].

Broader SEO suites. Choose a broader SEO or content suite when conventional SEO, backlinks, keyword research, and AI visibility must be managed in one platform [68]. One review notes Profound lacks native integrations with traditional SEO metrics, traffic attribution, or organic keyword tracking [70].

Independent GEO consultancies or agencies. Choose an independent consultancy when the buyer needs stakeholder research, digital PR, third-party citation acquisition, content operations, and implementation accountability rather than software alone [68].

Agency-friendly multi-client workspaces. One platform names Rankability, Indexly, and Pixis Visibility as offering client-side reporting without separate accounts per brand [71].

Documented alternatives with published pricing. One platform names Cited, Citare, SEORav, and GEOCitation.io as presenting documented feature sets and pricing, including Cited Starter at $95 per month and Pro at $375 per month [72]. These are competitor-published claims.

Combined stacks. Use a combined stack when Profound supplies measurement but another provider supplies editorial production, earned-media outreach, technical SEO, or CRM attribution [68].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Profound before signing a contract?
  • Which plan details and fees should be verified in a Profound sales evaluation?

The supplied research leaves several material questions open. Buyers should get written answers before committing.

  1. Which legal entity signs the contract, and is profound.ai an official domain for the same vendor as tryprofound.com? [76]
  2. Which exact plan includes URL-level citations, citation history, competitor benchmarking, crawler analytics, content optimization, agents, API access, and exports? [76]
  3. Which AI engines and features are included, and what are the limits by prompt volume, geography, language, brand, workspace, and refresh frequency? [78]
  4. How are visibility, citation, sentiment, position, and share-of-voice metrics calculated, sampled, normalized, and audited? [76]
  5. Can the vendor provide raw answer snapshots, cited URLs, timestamps, prompt definitions, and reproducible exports? [76]
  6. Are managed services included, optional, or delivered by a separate Profound Strategy entity? [80]
  7. What implementation, CMS, CRM, analytics, API, onboarding, overage, and managed-service fees apply? [76]
  8. What are the minimum term, renewal, cancellation, SLA, data-retention, security, and data-export provisions? [76]
  9. What is the exact credit allocation for Content Agents, and what is the cost per Agent run or overage? [81]
  10. Does multi-account or multi-workspace support exist at Enterprise, or does each brand still require a separate account? [82]
  11. Which CDN providers and hosting platforms are currently supported for Agent Analytics? [83]
  12. What independent customer evidence supports durable improvement, and how is attribution distinguished from ordinary SEO, PR, brand, or demand-generation effects? [84]

Final AI Consensus Verdict

Profound is a good fit, with qualification, for AI Search Partners for Citation Intelligence and GEO Strategy. Five of seven platforms named it, at an average listed rank of 2.2 and a best rank of 1. The strongest reason to consider it is depth and breadth in one platform: prompt-level citation intelligence built on real user conversations, source-URL and publisher analysis, multi-engine coverage at the top tier, AI-crawler analytics, and agent-driven content workflows.

The main limitation is verification, not capability. Pricing is reported inconsistently across sources and absent from one platform's research entirely. Engine coverage by tier is disputed. Multi-account agency support is disputed. The relationship between profound.ai, tryprofound.com, and Profound Strategy is unresolved, and the official-site retrieval failed during this study. Independent outcome evidence for revenue or pipeline attribution was not established.

Buyers who value enterprise-grade citation analytics, can support a sales-led procurement process, and will verify identity, pricing, plan inclusions, and managed-service scope should shortlist Profound. Buyers who need transparent published pricing, a fully independent GEO consultancy, or immediate CMS publishing workflows should evaluate alternatives first. The ai search geo agencies directory lists the wider field of providers and agencies for comparison.

How This Review Was Produced

This review synthesizes 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 was asked which AI search partners or solutions it would recommend for a company seeking citation intelligence and practical GEO strategy, and each returned a fit assessment, strengths, limitations, pricing notes, and verification questions.

Five of the seven platforms named Profound during ranking discovery. All seven evaluated fit. The ranking statistics in the Research Snapshot count only platforms that named the entity during ranking discovery, per the study's methodology.

No product testing, customer interviews, or independent verification were performed. All citations are platform-reported evidence. Company-owned sources are labeled as owned in the Sources section; independent sources are labeled separately.

Methodology Limitations

Several limitations apply to this review.

  • Platform-reported research dates differ from the study date. The authoritative run research date is 2026-09-18. DeepSeek's platform-reported research date is 2026-01-15. Platform-reported dates are provenance metadata and do not independently prove freshness.
  • DeepSeek ran without search enabled. Its findings rely on model knowledge and the ranking-stage context rather than retrieved sources, so its claims require explicit verification before being treated as current facts.
  • The official-site retrieval for profound.ai failed during this study, so no official-page excerpt could be checked. The identity audit retained a reported but unverified domain.
  • The identity audit flagged an unresolved conflict between profound.ai, tryprofound.com, and profoundstrategy.com. The exact contracting entity is not established.
  • Supplied URLs were collected from platform responses and were not independently validated by the writer stage.
  • Pricing conflicts were not resolved. Reported figures range from no published pricing to $99 and $399 monthly tiers to custom enterprise quotes. No figure should be treated as confirmed.
  • AI-platform agreement does not prove product quality. Multiple platforms recommending Profound reflects visibility and positioning in the market, not verified performance.
  • No independent outcome evidence was found for revenue, pipeline, or durable ranking improvement attributable to Profound.
  • Kimi's fit rating was "uncertain" because it could not verify product documentation, not because it found negative evidence. Missing research is not disagreement.

Sources

Company-Owned Sources

  • Profound - AI visibility analytics platform: https://profound.ai/
  • Profound | The AI Platform to Power Your Marketing: https://www.tryprofound.com/
  • AI Instructions + Information: https://www.tryprofound.com/ai-instructions
  • 10-step framework for generative engine optimization 2025 guide: https://www.tryprofound.com/articles/generative-engine-optimization-geo-guide-2025
  • Best generative engine optimization (GEO) tools for AI search in 2026: https://www.tryprofound.com/blog/best-generative-engine-optimization-tools
  • How to Choose the Best AI Visibility Provider: https://www.tryprofound.com/blog/choosing-ai-visibility-provider
  • AI Citation Analysis Tool for AEO | Profound: https://www.tryprofound.com/features/answer-engine-insights/citations
  • Additional AI research evidence84 records
    1. AI research evidence record openai:c1
    2. AI research evidence record openai:c2
    3. AI research evidence record deepseek:tc-1
    4. AI research evidence record google:cit_124
    5. AI research evidence record anthropic:4-1
    6. AI research evidence record grok:web:2
    7. AI research evidence record google:cit_134
    8. AI research evidence record anthropic:14-4
    9. AI research evidence record anthropic:30-1
    10. AI research evidence record anthropic:12-10
    11. AI research evidence record anthropic:17-7
    12. AI research evidence record anthropic:28-6
    13. AI research evidence record openai:c4
    14. AI research evidence record openai:c1
    15. AI research evidence record anthropic:4-1
    16. AI research evidence record openai:c2
    17. AI research evidence record grok:web:3
    18. AI research evidence record anthropic:14-4
    19. AI research evidence record anthropic:20-6
    20. AI research evidence record openai:c3
    21. AI research evidence record anthropic:14-3
    22. AI research evidence record google:cit_125
    23. AI research evidence record anthropic:28-6
    24. AI research evidence record grok:web:7
    25. AI research evidence record openai:c8
    26. AI research evidence record deepseek:prof-1
    27. AI research evidence record grok:web:3
    28. AI research evidence record anthropic:10-8
    29. AI research evidence record perplexity:c2
    30. AI research evidence record perplexity:c1
    31. AI research evidence record kimi:ranking-stage-unverified
    32. AI research evidence record anthropic:6-8
    33. AI research evidence record anthropic:6-7
    34. AI research evidence record google:cit_125
    35. AI research evidence record google:cit_127
    36. AI research evidence record openai:c5
    37. AI research evidence record anthropic:15-8
    38. AI research evidence record anthropic:15-10
    39. AI research evidence record openai:c4
    40. AI research evidence record anthropic:12-10
    41. AI research evidence record google:cit_126
    42. AI research evidence record openai:c1
    43. AI research evidence record openai:c6
    44. AI research evidence record perplexity:c1
    45. AI research evidence record openai:c8
    46. AI research evidence record deepseek:prof-1
    47. AI research evidence record anthropic:10-8
    48. AI research evidence record anthropic:18-3
    49. AI research evidence record google:cit_124
    50. AI research evidence record anthropic:12-10
    51. AI research evidence record anthropic:15-10
    52. AI research evidence record openai:c1
    53. AI research evidence record anthropic:2-1
    54. AI research evidence record anthropic:14-6
    55. AI research evidence record anthropic:14-3
    56. AI research evidence record anthropic:42-4
    57. AI research evidence record anthropic:22-2
    58. AI research evidence record openai:c8
    59. AI research evidence record anthropic:26-5
    60. AI research evidence record openai:c8
    61. AI research evidence record deepseek:prof-1
    62. AI research evidence record anthropic:15-10
    63. AI research evidence record openai:c5
    64. AI research evidence record openai:c6
    65. AI research evidence record anthropic:1-1
    66. AI research evidence record anthropic:12-10
    67. AI research evidence record anthropic:9-5
    68. AI research evidence record openai:c8
    69. AI research evidence record anthropic:14-6
    70. AI research evidence record google:cit_124
    71. AI research evidence record anthropic:15-10
    72. AI research evidence record kimi:cited-pricing
    73. AI research evidence record kimi:citare-how-it-works
    74. AI research evidence record kimi:seorav-geo
    75. AI research evidence record kimi:geocitation-api
    76. AI research evidence record openai:c8
    77. AI research evidence record deepseek:prof-1
    78. AI research evidence record anthropic:6-8
    79. AI research evidence record google:cit_125
    80. AI research evidence record openai:c4
    81. AI research evidence record anthropic:18-3
    82. AI research evidence record anthropic:15-10
    83. AI research evidence record anthropic:12-10
    84. AI research evidence record openai:c6

Independent Sources

Other Sources

  • Smart Scale Managed Content Services: https://profoundstrategy.com/smart-scale
  • Additional AI research evidence84 records
    1. AI research evidence record openai:c1
    2. AI research evidence record openai:c2
    3. AI research evidence record deepseek:tc-1
    4. AI research evidence record google:cit_124
    5. AI research evidence record anthropic:4-1
    6. AI research evidence record grok:web:2
    7. AI research evidence record google:cit_134
    8. AI research evidence record anthropic:14-4
    9. AI research evidence record anthropic:30-1
    10. AI research evidence record anthropic:12-10
    11. AI research evidence record anthropic:17-7
    12. AI research evidence record anthropic:28-6
    13. AI research evidence record openai:c4
    14. AI research evidence record openai:c1
    15. AI research evidence record anthropic:4-1
    16. AI research evidence record openai:c2
    17. AI research evidence record grok:web:3
    18. AI research evidence record anthropic:14-4
    19. AI research evidence record anthropic:20-6
    20. AI research evidence record openai:c3
    21. AI research evidence record anthropic:14-3
    22. AI research evidence record google:cit_125
    23. AI research evidence record anthropic:28-6
    24. AI research evidence record grok:web:7
    25. AI research evidence record openai:c8
    26. AI research evidence record deepseek:prof-1
    27. AI research evidence record grok:web:3
    28. AI research evidence record anthropic:10-8
    29. AI research evidence record perplexity:c2
    30. AI research evidence record perplexity:c1
    31. AI research evidence record kimi:ranking-stage-unverified
    32. AI research evidence record anthropic:6-8
    33. AI research evidence record anthropic:6-7
    34. AI research evidence record google:cit_125
    35. AI research evidence record google:cit_127
    36. AI research evidence record openai:c5
    37. AI research evidence record anthropic:15-8
    38. AI research evidence record anthropic:15-10
    39. AI research evidence record openai:c4
    40. AI research evidence record anthropic:12-10
    41. AI research evidence record google:cit_126
    42. AI research evidence record openai:c1
    43. AI research evidence record openai:c6
    44. AI research evidence record perplexity:c1
    45. AI research evidence record openai:c8
    46. AI research evidence record deepseek:prof-1
    47. AI research evidence record anthropic:10-8
    48. AI research evidence record anthropic:18-3
    49. AI research evidence record google:cit_124
    50. AI research evidence record anthropic:12-10
    51. AI research evidence record anthropic:15-10
    52. AI research evidence record openai:c1
    53. AI research evidence record anthropic:2-1
    54. AI research evidence record anthropic:14-6
    55. AI research evidence record anthropic:14-3
    56. AI research evidence record anthropic:42-4
    57. AI research evidence record anthropic:22-2
    58. AI research evidence record openai:c8
    59. AI research evidence record anthropic:26-5
    60. AI research evidence record openai:c8
    61. AI research evidence record deepseek:prof-1
    62. AI research evidence record anthropic:15-10
    63. AI research evidence record openai:c5
    64. AI research evidence record openai:c6
    65. AI research evidence record anthropic:1-1
    66. AI research evidence record anthropic:12-10
    67. AI research evidence record anthropic:9-5
    68. AI research evidence record openai:c8
    69. AI research evidence record anthropic:14-6
    70. AI research evidence record google:cit_124
    71. AI research evidence record anthropic:15-10
    72. AI research evidence record kimi:cited-pricing
    73. AI research evidence record kimi:citare-how-it-works
    74. AI research evidence record kimi:seorav-geo
    75. AI research evidence record kimi:geocitation-api
    76. AI research evidence record openai:c8
    77. AI research evidence record deepseek:prof-1
    78. AI research evidence record anthropic:6-8
    79. AI research evidence record google:cit_125
    80. AI research evidence record openai:c4
    81. AI research evidence record anthropic:18-3
    82. AI research evidence record anthropic:15-10
    83. AI research evidence record anthropic:12-10
    84. AI research evidence record openai:c6

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
48
Ranking mentions
5 of 7
Platform share
71%
Final consensus rank
#1

Research trail and source mix

Configured platforms

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

Source mix

37 independent · 10 company-owned · 1 unclear

Evidence support

37 direct · 11 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 e9a6543e8c3de72547e1697c94984612987991114c9b5887f9cbe69ddbac7d2c