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AI Consensus Fit Review

Profound Content Optimization Tool Fit Review for Perplexity Visibility

Profound is a mixed-to-good fit for companies that need Content Optimization Tools for Perplexity Visibility, but only at the Growth tier or above and only with procurement diligence.

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

Answer Capsule

Profound is a mixed-to-good fit for companies that need Content Optimization Tools for Perplexity Visibility, but only at the Growth tier or above and only with procurement diligence. Six of the seven included platforms named Profound during ranking discovery, and six returned a usable fit assessment. The strongest reason to consider it is its citation-level Perplexity monitoring combined with content optimization scoring and agent workflows [1]. The main limitation is that public pricing, plan packaging, and the official operating domain conflict across sources, and Perplexity access may sit behind a custom Enterprise package rather than a self-serve plan [3].

Research Snapshot

FieldFinding
Platform mentions in ranking stage6 of 7 included platforms named Profound (anthropic, deepseek, google, grok, openai, perplexity)
Share of included platform responses85.7% (6 of 7)
Average listed rank3.33
Best listed rank1 (deepseek)
Relevant product/model/planProfound Answer Engine Insights and Content Optimization Agents; Growth plan or Enterprise depending on source
Overall use-case fitMixed to good; platform fit ratings ranged from "mixed" (openai, deepseek) to "strong" (grok)
Research date2026-09-19

Why Profound Qualified for This Study

Questions This Section Answers

  • Is Profound a good choice for Content Optimization Tools for Perplexity Visibility?
  • How often did AI platforms recommend Profound for Perplexity visibility tools?

Profound qualified because six of the seven included platforms named it during ranking discovery, and it was the top-ranked entity in the final ranking. Its average listed rank was 3.33, with deepseek placing it first and openai and perplexity placing it second [6].

The qualification is not the same as a quality endorsement. Platform agreement reflects how often a tool surfaces in AI-generated recommendations, not verified performance. Fit ratings from the six platforms that returned an assessment were split: grok rated Profound a "strong" fit, anthropic, perplexity, and kimi rated it "good," and openai and deepseek rated it "mixed."

Profound's stated positioning is an AI visibility and answer engine optimization platform that tracks how brands appear across ChatGPT, Perplexity, Claude, Gemini, Grok, Copilot, DeepSeek, and Google AI experiences [8]. Independent reviewers describe it as one of the best-known platforms in enterprise AI search visibility [9].

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

Questions This Section Answers

  • Which Profound plan should a buyer choose if they need Perplexity citation tracking?
  • Is Profound's Starter plan enough for Perplexity visibility monitoring?

The relevant offering is Profound's Answer Engine Insights module with citation tracking, plus its Content Optimization features and Agents. Perplexity coverage is the deciding variable, and sources disagree about which plan includes it.

Profound's own citation analysis page states that the tool monitors when ChatGPT, Perplexity, Google AI Overviews, and other answer engines cite your content or competitors' across every tracked prompt [10]. The same page says citation data is collected daily, so patterns are more meaningful over 7–30 day windows [11].

Plan packaging is where the evidence fractures:

  • Multiple independent sources report Starter at $99/month as ChatGPT-only, with Growth at $399/month adding Perplexity and other engines [12].
  • Profound's currently retrieved pricing page instead presents a free Trial and custom Enterprise, with Perplexity and daily tracking shown under Enterprise [16].
  • One independent source reports Growth as the practical self-serve tier for Perplexity and says Enterprise requires a demo for pricing [17].

The company also markets a Content Optimization feature set. Profound states that content effectiveness scoring evaluates every page for AI readability, structured data coverage, and citation potential [18], and that its AEO Content Score is a machine learning model trained on millions of top-cited pages to predict citation likelihood [19]. Profound's own content optimization page says the system analyzes content against live citation data, benchmarks competitors, and provides ranked fixes with optional CMS publishing through Agents [20].

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Profound does well for Perplexity visibility?
  • Does Profound track Perplexity citations separately from other AI engines?

Platforms broadly agreed on three points: Profound monitors Perplexity citations, it tracks competitive citation share, and it is built for enterprise-scale AI visibility rather than single-engine tracking.

On Perplexity monitoring, independent reviewers describe Profound as an enterprise-grade AI visibility platform with strong Perplexity monitoring capabilities [22] and as tracking Perplexity citations alongside nine other AI engines [23]. Profound itself states that Answer Engine Insights analyzes brand and competitor appearances including citations, sentiment, ranking, and competitive presence [24].

On competitive coverage, Profound's citation tool is described as giving a view of every source AI pulls from, how you and competitors rank for citations, and where to act [25]. Independent reviewers note the platform can show which pages contribute to AI visibility and which need better structure, clearer answers, or stronger topical coverage [26].

On enterprise positioning, reviewers consistently place Profound in the enterprise tier. One independent review calls it an enterprise-grade platform with strong Perplexity monitoring [22]; another describes it as one of the best-known platforms in enterprise AI search visibility [27].

Agreement here is strong but not unanimous, and it reflects repeated platform reporting rather than independent verification of measurement accuracy.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Why do sources disagree about Profound's pricing and Perplexity plan access?
  • Is Profound's official website profound.ai or tryprofound.com?

The platforms disagreed on pricing, plan packaging, and the official domain. These are material conflicts, not minor discrepancies.

Pricing conflict. Independent sources report Starter at $99/month and Growth at $399/month billed yearly [28]. Profound's currently retrieved pricing page presents a free Trial with limited credits and a one-time 10-prompt ChatGPT analysis, plus custom Enterprise pricing [32]. One review reports a $499/month figure in its headline [33]. Another source mentions possible one-time setup fees that are not independently confirmed [34].

Perplexity access conflict. Search-indexed results say Growth includes Perplexity [36], while the currently retrieved Profound page lists Perplexity under Enterprise capability [32]. Openai's assessment explicitly flags this as unresolved and recommends confirming in writing.

Domain conflict. The supplied official domain, profound.ai, redirects to a parked GoDaddy sales page rather than a Profound product site [38]. Current product and pricing material is hosted on tryprofound.com. The deterministic identity audit notes that official-site retrieval failed and that the matching reported domain remains unverified. Deepseek's assessment also treats profound.ai as reported but unverified [39].

Methodology uncertainty. No reviewed independent source proves that Profound causes Perplexity to cite a buyer's content or that its recommendations outperform alternatives [32]. One platform notes that whether Perplexity visibility is tracked separately or aggregated with other engines is unclear [40].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Profound improve topical completeness and content structure for Perplexity answers?
  • Can Profound identify the internal sub-queries Perplexity runs?

Profound's feature set maps reasonably well to the five criteria in this use case — topical completeness, factual clarity, source quality, competitive coverage, and content structure — but the mapping is stronger for measurement than for verified content improvement.

Topical completeness and content structure. Profound states that content effectiveness scoring evaluates every page for AI readability, structured data coverage, and citation potential [41]. Independent reviewers describe an AEO Content Score trained on millions of top-cited pages that provides real-time guidance on structure, readability, and topical depth calibrated to specific AI engines [42]. One review notes the platform identifies optimal word count and sentence structure by engine [44].

Source quality. Profound tracks Citation Authority, described as a measure of source quality and consistency in AI citations [45]. Citation source categorization reportedly distinguishes owned, competitor, earned media, PR wire, social, and institutional sources [46].

Competitive coverage. Profound's citation tool shows how you and competitors rank for citations across tracked prompts [46]. One independent review describes "dark query" intelligence — the internal sub-queries Perplexity runs when processing a user question — as a standout capability, noting these queries have zero Google search volume and appear in no traditional keyword tool [47].

Technical diagnostics. Profound states that Agent Analytics surfaces rendering issues and technical gaps that prevent AI crawlers from reading content [49]. Independent reviewers describe crawler tracking that shows which pages receive crawler visits and whether technical factors limit citation probability [50].

Content execution. Profound's Agents are described as a no-code workflow builder with pre-built templates for content research, AEO content creation, optimization, competitive analysis, and CMS publishing [51]. Profound states that it tracks whether AI crawlers access each piece, whether it earns citations, and for which prompts, then feeds that data back into recommendations [52].

Gaps. No dedicated hallucination detection or factual accuracy verification tool is documented [45]. One platform reports no evidence that Profound performs PerplexityBot-specific crawl audits, robots.txt checks, or structured data validation for Perplexity's proprietary index [53]. Another notes the platform surfaces visibility gaps but does not automatically prescribe which gaps to prioritize [54].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Profound cost per month, and is annual billing required?
  • What ongoing costs should a buyer expect beyond Profound's base plan?

Public pricing is conflicting, and buyers should treat any single figure as unconfirmed. The table below separates what each source claims.

Source typeReported pricingPerplexity included?
Independent pricing directoryStarter $99/month, Growth $399/month, Enterprise customGrowth, per this source
Independent reviewStarter $99/month billed annually, ChatGPT monitoring onlyNo
Independent reviewGrowth $399/month adds Perplexity alongside nine other enginesYes
Independent reviewStarter ChatGPT-only; Growth adds Perplexity plus agent creditsYes, at Growth
Profound pricing page (retrieved)Free Trial with limited credits; Enterprise customEnterprise
Independent reviewHeadline references $499/monthNot specified

Additional cost considerations reported across sources:

  • Agent credits. AI Marketer and Agent usage is credit-based, and consumption varies by workflow complexity [55].
  • Annual billing. Multiple sources say self-serve plans are billed yearly, with one reporting two months free [57].
  • Setup fees. One third-party source mentions possible one-time setup fees, but these are unverified and conflict with other summaries [59].
  • Enterprise scope. Custom enterprise scope, prompt volume, regions, languages, support, integrations, and API requirements may affect total cost [55].

Contract length, cancellation rights, renewal terms, refund policy, and whether the quoted Growth price requires an annual commitment were not verified in the reviewed sources [55]. Pricing confidence is rated low by openai, deepseek, grok, kimi, and perplexity; anthropic rates it moderate.

Best Suited For

Questions This Section Answers

  • Who is Profound best suited for in Perplexity visibility work?
  • Is Profound worth it for enterprise teams tracking multiple AI engines?

Profound is best suited to enterprise brands and larger marketing teams that need recurring Perplexity visibility and citation analysis alongside multi-engine competitive benchmarking.

The strongest-fit profiles reported across platforms:

  • Large marketing, SEO, PR, or content teams needing recurring AI-answer visibility and citation analysis across Perplexity and multiple answer engines [61].
  • Enterprise brands with dedicated SEO resources ready to convert visibility insights into optimized content production [62].
  • Organizations requiring SOC 2 compliance, SSO, and dedicated support, which Profound lists as Enterprise capabilities [61].
  • Teams wanting monitoring plus content research, optimization workflows, and integrations rather than a Perplexity-only rank tracker [61].
  • Brands integrating AI visibility with content workflow automation via Agents and CMS publishing [64].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Profound for Perplexity visibility?
  • Is Profound a poor fit for small teams or multi-brand agencies?

Profound is probably not the best fit for price-sensitive buyers, single-brand agencies needing multi-workspace management, or teams that need independently demonstrated citation gains before purchase.

Reported mismatch profiles:

  • Small buyers seeking a clearly documented, low-cost Perplexity-only tool [65].
  • Budget-conscious buyers, since the reported real functionality begins at the Growth tier rather than Starter [66].
  • Agencies managing multiple independent brands, because Profound reportedly allows one workspace per account with no shared dashboards or rolled-up reporting [68].
  • Teams requiring publicly documented API, export, prompt, region, and contract terms before purchase [65].
  • Buyers needing independently demonstrated improvements in Perplexity citations rather than monitoring and workflow capabilities [65].
  • Organizations with hosting constraints, since one source reports Shopify-hosted brands historically could not run Agent Analytics without CDN integration [69].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Profound for a buyer who needs low-cost Perplexity tracking?
  • When should a buyer choose a dedicated Perplexity tracker over Profound?

Another option may be better when the buyer's primary constraint is cost, multi-brand management, or Perplexity-only depth rather than multi-engine enterprise monitoring.

Reported alternative scenarios:

  • Budget-only Perplexity tracking. One platform reports Otterly at $29/month for four engines, Peec AI at €79–89/month, and HubSpot AEO Grader at $50/month as lower-cost dedicated monitoring options [70].
  • Multi-brand or multi-account management. Scrunch, AthenaHQ, or Semrush AIO are reported to provide multi-workspace support that Profound lacks [71].
  • Prescriptive content gap recommendations. Peec AI's Actions module, Scalenut's GEO Action Center, or Dageno's execution focus are described as more directive [72].
  • Perplexity-specific crawl auditing. Botric is reported to offer PerplexityBot audits, weekly visibility scores, and prompt-by-prompt competitor tracking [73].
  • Transparent flat pricing under $500/month. Visiby and FogTrail are reported to offer self-serve setup with weekly fix briefs [74].
  • Unified SEO and AI visibility. Semrush, Ahrefs, or BrightEdge are reported to integrate traditional SEO with AEO [75].

These alternatives are platform-reported and were not independently tested for this review.

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Profound before signing a contract?
  • How can a buyer verify Profound's Perplexity coverage and pricing before purchase?

The reviewed sources leave several material questions unresolved. Buyers should get written answers before committing.

  • Is Perplexity tracking available on Growth or only on Enterprise as of the purchase date [76]?
  • What exact Perplexity surfaces, models, regions, languages, prompt volumes, refresh frequency, and citation fields are included [76]?
  • Are prompts run against live Perplexity responses, and how are response variance, personalization, and model changes handled [76]?
  • Can the buyer export raw responses, citations, source URLs, historical observations, and competitor data through CSV, JSON, or API [76]?
  • What is the exact annual or monthly commitment, cancellation policy, renewal mechanism, and refund policy [76]?
  • How are Agent credits calculated, what are overage rates, and can usage be automatically paused [76]?
  • What independent customer evidence demonstrates improved Perplexity visibility or citation share [76]?
  • What company operates tryprofound.com, and how does it relate to the supplied profound.ai domain [79]?
  • Are SSO, SOC 2 documentation, data-processing terms, and data-retention controls included in the quoted plan [76]?
  • What is the actual citation data refresh frequency for the Growth plan, and how quickly do Perplexity changes appear [80]?

Final AI Consensus Verdict

Profound is a defensible choice for enterprise buyers who need Perplexity citation monitoring inside a broader multi-engine AI visibility program, and a weaker choice for buyers whose only requirement is affordable, transparent Perplexity tracking.

The consensus case for Profound rests on citation-level Perplexity monitoring, competitive share-of-voice analysis, content scoring, and agent-driven optimization workflows [81]. Six of seven included platforms named it, and its average listed rank was 3.33 with a best rank of 1.

The consensus case against a clean recommendation rests on unresolved pricing and packaging conflicts, an unresolved official-domain identity, and the absence of independent evidence that Profound improves Perplexity citation outcomes [84]. Fit ratings split between "strong," "good," and "mixed" across the six assessing platforms.

Buyers who can absorb enterprise procurement, confirm Perplexity access in writing, and treat the platform as a measurement and workflow layer rather than a guaranteed citation driver have a reasonable fit. Buyers who need published pricing, self-serve onboarding, or multi-brand workspaces should evaluate alternatives first. For the broader field, see the Content Optimization Tools for Perplexity Visibility consensus index, and for adjacent categories see the ai seo content optimization directory.

How This Review Was Produced

This review synthesizes fit assessments returned by seven AI platforms for a single buyer prompt about content optimization tools for Perplexity visibility. Six platforms named Profound during ranking discovery, and six returned a usable fit assessment. Each platform's response included a direct answer, fit rating, strengths, limitations, pricing notes, and verification questions.

Platform fit ratings were: grok "strong"; anthropic, perplexity, and kimi "good"; openai and deepseek "mixed." Google named Profound in ranking but did not return a usable fit assessment in the supplied inputs.

All factual claims are attributed to the platform that reported them. Company-owned sources (tryprofound.com) are labeled as owned; independent reviews and directories are labeled as independent. No product testing, customer interviews, or independent verification of measurement accuracy was performed for this review.

Methodology Limitations

  • Six of seven included platforms returned a usable fit assessment. Fit findings are not unanimous and should not be described as consensus on product quality.
  • Platform-reported research dates differ from the authoritative run date of 2026-09-19. Deepseek's assessment is dated 2026-03-16, roughly six months earlier, and may not reflect current packaging.
  • The supplied URLs were collected from platform responses and were not independently validated by the writer stage.
  • The deterministic identity audit found conflicting official domains, a failed official-site retrieval, and uncorroborated domain metadata. The official operating domain remains unverified.
  • Pricing, plan names, and Perplexity feature gates conflict across sources. No conflict was resolved by guessing.
  • No reviewed independent source proves that Profound causes Perplexity to cite a buyer's content or that its recommendations outperform alternatives.
  • Platform agreement on a tool's prominence does not establish product quality, measurement accuracy, or fitness for any specific buyer.

Sources

Company-Owned Sources

  • AI Visibility Platform for ChatGPT, Perplexity & AI Overviews | Visiby: https://visiby.net/ai-visibility-platform
  • Perplexity Visibility & Rank Tracker: Track Brand Mentions | Botric: https://www.botric.ai/ai-optimization/perplexity
  • Profound vs. Rankability: Which AI visibility platform fits your team?: https://www.tryprofound.com/articles/profound-vs-rankability
  • Introducing Citation Decay in Profound: https://www.tryprofound.com/blog/citation-decay
  • The Complete AEO Platform | Profound: https://www.tryprofound.com/features
  • AI Powered Content Optimization | Profound: https://www.tryprofound.com/features/agents/content-optimization
  • AI Citation Analysis Tool for AEO | Profound: https://www.tryprofound.com/features/answer-engine-insights/citations
  • Additional AI research evidence85 records
    1. AI research evidence record anthropic:10-3
    2. AI research evidence record anthropic:32-10
    3. AI research evidence record openai:c1
    4. AI research evidence record openai:c2
    5. AI research evidence record openai:c3
    6. AI research evidence record openai:c1
    7. AI research evidence record anthropic:2-2
    8. AI research evidence record anthropic:7-8
    9. AI research evidence record anthropic:7-1
    10. AI research evidence record anthropic:10-12
    11. AI research evidence record anthropic:10-1
    12. AI research evidence record anthropic:6-16
    13. AI research evidence record anthropic:20-4
    14. AI research evidence record anthropic:39-6
    15. AI research evidence record perplexity:c3
    16. AI research evidence record openai:c1
    17. AI research evidence record perplexity:c11
    18. AI research evidence record anthropic:11-2
    19. AI research evidence record anthropic:32-10
    20. AI research evidence record kimi:tryprofound-1
    21. AI research evidence record kimi:tryprofound-2
    22. AI research evidence record anthropic:2-2
    23. AI research evidence record anthropic:6-14
    24. AI research evidence record openai:c1
    25. AI research evidence record anthropic:10-3
    26. AI research evidence record anthropic:29-22
    27. AI research evidence record anthropic:7-1
    28. AI research evidence record anthropic:18-1
    29. AI research evidence record anthropic:20-3
    30. AI research evidence record perplexity:c3
    31. AI research evidence record perplexity:c5
    32. AI research evidence record openai:c1
    33. AI research evidence record anthropic:33-8
    34. AI research evidence record perplexity:c9
    35. AI research evidence record perplexity:c13
    36. AI research evidence record anthropic:20-4
    37. AI research evidence record anthropic:39-6
    38. AI research evidence record openai:c3
    39. AI research evidence record deepseek:c1
    40. AI research evidence record kimi:tryprofound-1
    41. AI research evidence record anthropic:11-2
    42. AI research evidence record anthropic:32-10
    43. AI research evidence record anthropic:32-11
    44. AI research evidence record anthropic:28-15
    45. AI research evidence record anthropic:28-3
    46. AI research evidence record anthropic:10-3
    47. AI research evidence record anthropic:39-7
    48. AI research evidence record anthropic:39-8
    49. AI research evidence record anthropic:11-3
    50. AI research evidence record anthropic:33-8
    51. AI research evidence record kimi:tryprofound-2
    52. AI research evidence record anthropic:14-3
    53. AI research evidence record kimi:botric-1
    54. AI research evidence record anthropic:1-2
    55. AI research evidence record openai:c1
    56. AI research evidence record anthropic:20-3
    57. AI research evidence record perplexity:c3
    58. AI research evidence record perplexity:c14
    59. AI research evidence record perplexity:c9
    60. AI research evidence record perplexity:c13
    61. AI research evidence record openai:c1
    62. AI research evidence record anthropic:2-2
    63. AI research evidence record anthropic:20-3
    64. AI research evidence record kimi:tryprofound-2
    65. AI research evidence record openai:c1
    66. AI research evidence record anthropic:6-16
    67. AI research evidence record perplexity:c1
    68. AI research evidence record anthropic:35-12
    69. AI research evidence record anthropic:33-8
    70. AI research evidence record anthropic:2-2
    71. AI research evidence record anthropic:35-12
    72. AI research evidence record anthropic:29-22
    73. AI research evidence record kimi:botric-1
    74. AI research evidence record kimi:visiby-1
    75. AI research evidence record anthropic:7-1
    76. AI research evidence record openai:c1
    77. AI research evidence record anthropic:20-4
    78. AI research evidence record perplexity:c3
    79. AI research evidence record openai:c3
    80. AI research evidence record anthropic:10-1
    81. AI research evidence record anthropic:10-3
    82. AI research evidence record anthropic:32-10
    83. AI research evidence record kimi:tryprofound-2
    84. AI research evidence record openai:c1
    85. AI research evidence record openai:c3

Independent Sources

Other Sources

  • Profound.ai domain retrieval result: https://profound.ai/
  • Additional AI research evidence85 records
    1. AI research evidence record anthropic:10-3
    2. AI research evidence record anthropic:32-10
    3. AI research evidence record openai:c1
    4. AI research evidence record openai:c2
    5. AI research evidence record openai:c3
    6. AI research evidence record openai:c1
    7. AI research evidence record anthropic:2-2
    8. AI research evidence record anthropic:7-8
    9. AI research evidence record anthropic:7-1
    10. AI research evidence record anthropic:10-12
    11. AI research evidence record anthropic:10-1
    12. AI research evidence record anthropic:6-16
    13. AI research evidence record anthropic:20-4
    14. AI research evidence record anthropic:39-6
    15. AI research evidence record perplexity:c3
    16. AI research evidence record openai:c1
    17. AI research evidence record perplexity:c11
    18. AI research evidence record anthropic:11-2
    19. AI research evidence record anthropic:32-10
    20. AI research evidence record kimi:tryprofound-1
    21. AI research evidence record kimi:tryprofound-2
    22. AI research evidence record anthropic:2-2
    23. AI research evidence record anthropic:6-14
    24. AI research evidence record openai:c1
    25. AI research evidence record anthropic:10-3
    26. AI research evidence record anthropic:29-22
    27. AI research evidence record anthropic:7-1
    28. AI research evidence record anthropic:18-1
    29. AI research evidence record anthropic:20-3
    30. AI research evidence record perplexity:c3
    31. AI research evidence record perplexity:c5
    32. AI research evidence record openai:c1
    33. AI research evidence record anthropic:33-8
    34. AI research evidence record perplexity:c9
    35. AI research evidence record perplexity:c13
    36. AI research evidence record anthropic:20-4
    37. AI research evidence record anthropic:39-6
    38. AI research evidence record openai:c3
    39. AI research evidence record deepseek:c1
    40. AI research evidence record kimi:tryprofound-1
    41. AI research evidence record anthropic:11-2
    42. AI research evidence record anthropic:32-10
    43. AI research evidence record anthropic:32-11
    44. AI research evidence record anthropic:28-15
    45. AI research evidence record anthropic:28-3
    46. AI research evidence record anthropic:10-3
    47. AI research evidence record anthropic:39-7
    48. AI research evidence record anthropic:39-8
    49. AI research evidence record anthropic:11-3
    50. AI research evidence record anthropic:33-8
    51. AI research evidence record kimi:tryprofound-2
    52. AI research evidence record anthropic:14-3
    53. AI research evidence record kimi:botric-1
    54. AI research evidence record anthropic:1-2
    55. AI research evidence record openai:c1
    56. AI research evidence record anthropic:20-3
    57. AI research evidence record perplexity:c3
    58. AI research evidence record perplexity:c14
    59. AI research evidence record perplexity:c9
    60. AI research evidence record perplexity:c13
    61. AI research evidence record openai:c1
    62. AI research evidence record anthropic:2-2
    63. AI research evidence record anthropic:20-3
    64. AI research evidence record kimi:tryprofound-2
    65. AI research evidence record openai:c1
    66. AI research evidence record anthropic:6-16
    67. AI research evidence record perplexity:c1
    68. AI research evidence record anthropic:35-12
    69. AI research evidence record anthropic:33-8
    70. AI research evidence record anthropic:2-2
    71. AI research evidence record anthropic:35-12
    72. AI research evidence record anthropic:29-22
    73. AI research evidence record kimi:botric-1
    74. AI research evidence record kimi:visiby-1
    75. AI research evidence record anthropic:7-1
    76. AI research evidence record openai:c1
    77. AI research evidence record anthropic:20-4
    78. AI research evidence record perplexity:c3
    79. AI research evidence record openai:c3
    80. AI research evidence record anthropic:10-1
    81. AI research evidence record anthropic:10-3
    82. AI research evidence record anthropic:32-10
    83. AI research evidence record kimi:tryprofound-2
    84. AI research evidence record openai:c1
    85. AI research evidence record openai:c3

Verify this research

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

Study date
September 19, 2026
Platforms analyzed
7
Source records
33
Ranking mentions
6 of 7
Platform share
86%
Final consensus rank
#1

Research trail and source mix

Configured platforms

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

Source mix

23 independent · 9 company-owned · 1 unclear

Evidence support

21 direct · 12 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 b1ee23a16f38cbad77ea75948a633f6bea5c6ec5aecb8e1605ae4cc20c2e8050