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AI Consensus Fit Review

Profound Gemini Visibility Tracking Tool Fit Review

Profound is a mixed fit for Gemini Visibility Tracking Tools.

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

Answer Capsule

Profound is a mixed fit for Gemini Visibility Tracking Tools. Five of seven platforms named Profound during the ranking stage (71.4% of included platform responses), with an average listed rank of 3.6 and a best rank of 1. Its strongest reason to consider it is a deep AI visibility stack — mentions, citations, share of voice, sentiment, competitor benchmarking, source analysis, and content Agents — that maps directly to the buyer's stated requirements. The main limitation is Gemini access: multiple independent reviews state Gemini tracking sits behind custom-priced Enterprise plans, while the publicly priced Growth plan ($399/month) is described as covering only ChatGPT, Perplexity, and Google AI Overviews.

Research Snapshot

FieldFinding
Platform mentions in ranking stage5 of 7 platforms (deepseek, google, grok, openai, perplexity)
Share of included platform responses71.4%
Average listed rank3.6
Best listed rank1 (openai)
Relevant product/model/planProfound AI visibility platform; Growth plan is the most relevant publicly priced option, while Gemini-specific access appears to require Enterprise or confirmation
Overall use-case fitMixed
Research date2026-09-19

Why Profound Qualified for This Study

Questions This Section Answers

  • Is Profound a good choice for Gemini Visibility Tracking Tools?
  • Why did multiple AI platforms rank Profound for Gemini visibility tracking?

Profound qualified because five of the seven included platforms named it during ranking discovery, and because its publicly described capabilities match the study's criteria: recommendations, mentions, citations, competitor visibility, source patterns, and change over time. Independent comparison material characterizes Profound as strong on citation depth and multi-engine visibility tracking, including Gemini and Google AI Overviews [1]. Profound's own product page lists Gemini, Google AI Overviews, visibility scores, citation analytics, competitor and source analysis, and prompt volumes [2].

Independent reviewers describe Profound as a GEO platform tracking brand visibility across ChatGPT, Perplexity, Gemini, Google AI Overviews, and other AI search surfaces [3]. One review states Profound covers 10 engines including ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Copilot, Claude, Grok, Meta AI, and DeepSeek [5]. Another describes Profound as targeting enterprise brands needing AI visibility tracking with compliance and governance features [6].

Qualification was not unanimous. One platform (kimi) reported that its search results contained zero documentation of Profound's product, pricing, or Gemini-specific capabilities, and rated fit as uncertain [7]. That platform's ranking-stage mention of Profound was not supported by retrieved evidence in its own response. This review treats that as a documented evidence gap rather than a contradiction of the other platforms' findings.

The Product, Model, Plan, or Service Most Relevant to Gemini Visibility Tracking Tools

Questions This Section Answers

  • Which Profound plan does a buyer need for Gemini visibility tracking?
  • Is Gemini included in Profound's Growth plan at $399 per month?

The most relevant Profound offering for this use case is the AI visibility platform, but the plan that actually includes Gemini is disputed across sources. The publicly priced Growth plan is the closest self-serve option, and multiple independent reviews state Gemini is not in it.

Profound's public pricing page lists Starter at $99/month billed yearly, Growth at $399/month billed yearly, Growth coverage of three answer engines, and Enterprise as custom pricing [8]. Independent reviews identify those three Growth engines as ChatGPT, Perplexity, and Google AI Overviews [10]. One review states plainly that Gemini, Claude, and Microsoft Copilot tracking requires Enterprise pricing [12]. Another states Gemini tracking is exclusively available on Profound's highest-tier Enterprise plan [15]. A further review reports Claude, Gemini, and Grok sit behind Enterprise pricing with no published number [16].

Profound's own product pages still present Gemini as a supported surface. The company describes Answer Engine Insights as measuring visibility, share of voice, sentiment, and competitor performance across AI-generated answers [17], and lists Gemini among supported engines on its main product page [18]. One independent review states Profound tracks Gemini, ChatGPT, and Perplexity on all paid plans with transparent monthly pricing [19] — a claim that conflicts with the majority of other sources and with the pricing page's own engine counts.

The practical reading: Gemini appears to be an Enterprise-tier entitlement, and buyers should treat any lower-tier Gemini claim as unconfirmed until it appears in writing on an order form.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Profound does well for Gemini visibility tracking?
  • Does Profound track citations, competitor visibility, and source patterns?

Platforms broadly agreed that Profound is a serious, feature-dense AI visibility platform whose core analytics match the buyer's requirements, even where they disagreed about Gemini plan access.

On measurement scope, Profound describes Answer Engine Insights measuring brand visibility, share of voice, sentiment, competitor appearance, and citation sources across AI-generated answers [20]. Independent reviews describe the platform as monitoring whether AI assistants mention a brand and which sources those answers cite [22], and as reporting citations and source patterns used in AI answers [23]. Citation Share shows how often a brand is cited in AI answers [25], and citation monitoring captures every URL and domain LLMs reference, surfaced at domain and page level [26].

On competitive benchmarking, independent coverage says the platform benchmarks visibility against competitors and share of voice [23]. The Profound Index is described as a public leaderboard ranking brands by AI-search visibility, while the full platform provides deeper customized tracking [28].

On scale, one independent review states Profound processes 5M+ citations daily, tracks 4M+ crawler visits, and handles 1M+ prompts [29]. Another reports Profound publishes 1.5B+ real user prompts in reports and 400M+ anonymized conversations [30]. These are platform-reported or reviewer-reported figures, not independently audited.

On enterprise readiness, independent reviews state Profound holds SOC 2 Type II and HIPAA compliance, positioning it for regulated industries [31]. One review reports Profound is trusted by 2,000+ marketers across 500+ enterprise companies, including 10%+ of the Fortune 500 [33] — a vendor-adjacent customer claim that should be treated as reported, not verified.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Why do sources disagree about whether Profound includes Gemini in its Growth plan?
  • Is Profound's official website profound.ai or tryprofound.com?

The largest disagreement is whether Gemini is available below Enterprise. Multiple independent reviews dated June–August 2026 state Gemini requires Enterprise pricing [35]. One review notes that an earlier source (October 2025) reported Gemini on the Growth tier, and reconciles this by concluding pricing tiers changed between October 2025 and June 2026, moving Gemini to Enterprise-only [35]. A separate platform reported the opposite — that Profound tracks Gemini, ChatGPT, and Perplexity on all paid plans with monthly pricing [42] — but that claim originates from a domain that other evidence shows is not the live product site.

The second disagreement concerns identity and domain. The supplied official website, profound.ai, currently resolves to a GoDaddy domain-sale page rather than the Profound product site [43]. Current product and pricing materials are hosted at tryprofound.com [44]. One platform's research explicitly flagged that its official-site retrieval failed and that conflicting official domains forced an unresolved identity [46]. The deterministic identity audit for this study also records that conflicting official domains forced an unresolved identity and that official-site retrieval failed for one or more mentions. Buyers should confirm which legal entity and domain appear on the order form.

The third uncertainty is pricing at the Enterprise tier. Reported ranges vary from $2,000/month to $5,000+/month, with actual quotes depending on usage, regional coverage, and contract terms [47]. One review recommends an AEO budget of roughly $2,000/month or more to justify the enterprise level [48]. These are reported ranges, not published prices.

Trial availability is also conflicted. One source states a 7-day Growth trial is available [49]; another states no standard free trial exists as of August 2026 [51]. A free AEO visibility report is available as a lead magnet [51].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Profound track Gemini mentions, citations, and competitor visibility over time?
  • What Gemini-specific features does Profound offer on its Enterprise plan?

On Enterprise coverage, Profound is described as monitoring brand visibility, citations, and sentiment across Gemini alongside other engines, with citation attribution at page and domain level and multi-region, multi-language monitoring across 30+ languages and 150+ regions [53]. One review states Enterprise supports up to 10 engines including Gemini, Claude, Copilot, Grok, Meta AI, and DeepSeek [57]. Another describes Profound tracking across 11 surfaces including Gemini and Google AI Mode at the Enterprise level [59].

Agent Analytics is the most differentiated capability reported. It connects to CDN providers and reads server logs to identify AI bots, including GPTBot, PerplexityBot, ClaudeBot, and GoogleOther, and filters spoofed crawlers via IP range cross-referencing [60]. One review calls this crawler visibility unmatched by other tools in its testing [63]. This is input-side data — what AI systems actually fetch from your site — rather than output-side mention tracking.

Prompt Volumes analyzes real AI conversations across ChatGPT, Gemini, Claude, and Perplexity [64]. One review identifies Prompt Volumes as a key differentiator [65]. Profound Agents autonomously draft articles, briefs, landing pages, and optimizations, and can notify via Slack or publish to WordPress, Sanity, Contentful, or Gamma [66].

On change monitoring over time, Profound publicly describes visibility scores, share-of-voice metrics, prompt tracking, and answer-engine insights that support longitudinal monitoring [69]. The exact refresh cadence, historical retention, and Gemini-specific trend granularity are not disclosed in the reviewed public material. One independent review reports a median of 6.81 days from page publication to first citation, based on roughly 900 newly published marketing pages [71].

Two capability gaps were reported. One platform states Profound does not appear to tag citations by Google-specific sources such as Knowledge Graph, Google Business Profile, or YouTube, and that the depth of Gemini-specific source attribution is unclear [72]. The same platform reports Profound does not include sentiment analysis — a claim that conflicts with Profound's own description of sentiment measurement in Answer Engine Insights [70] and with independent reviews describing sentiment analysis across AI platforms [73]. Buyers should verify sentiment coverage directly.

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Profound cost per month, and is annual billing required?
  • What does Profound's Enterprise plan cost for Gemini tracking, and are there setup or cancellation fees?

Published self-serve pricing is Starter at $99/month billed yearly and Growth at $399/month billed yearly, with Enterprise custom [74]. Independent reviews put Starter at $1,188/year and Growth at $4,788/year before tax, with annual billing the only self-serve option and no month-to-month path for either tier [76]. One review notes annual billing gives roughly two months free [79].

Plan limits as reported: Starter is described as ChatGPT-only with 50 prompts and 100 Agent credits per month [74]. Growth is described as three answer engines with 100 prompts and 400 Agent credits per month [74]. One independent directory lists Starter as 1 brand, 1 project, 50 prompts, 1,500 responses, 100 credits, and 1 seat [83]. Another reports Growth at 100 prompts, 9,000 responses/month, 400 credits, and 3 seats [84].

Enterprise pricing is not published. Reported ranges run $2,000–$5,000+/month, depending on usage, regional coverage, and contract terms [85]. One review recommends budgeting roughly $2,000/month or more to justify the enterprise tier [86]. Enterprise is described as including up to 10 AI engines, daily data refresh, unlimited seats, API access, and dedicated support [87].

Additional fees are not clearly disclosed. Public materials do not clearly state overage pricing, extra prompt costs, additional seats, additional regions or languages, implementation fees, or Agent-credit overages [74]. One platform reports extra costs apply for added seats, prompt expansions beyond plan limits, or additional Agent credit packages [89]. Cancellation, refund, renewal, notice, and minimum-term terms are not published for self-serve or Enterprise tiers [74]. One platform reports monthly, cancel-anytime terms with no annual commitment [90] — a claim that conflicts with the annual-billing-only finding reported by multiple other sources and with Profound's own pricing page.

Best Suited For

Questions This Section Answers

  • Who gets the most value from Profound for Gemini visibility tracking?
  • Is Profound worth it for enterprise teams that need SOC 2 and multi-region Gemini monitoring?

Profound is best suited to enterprise and larger marketing teams that need multi-engine visibility, competitive benchmarking, citation analysis, prompt-volume intelligence, and workflow tools, and that are prepared to buy an Enterprise contract to unlock Gemini [91]. Independent reviews describe it as an enterprise AEO and GEO platform with compliance and governance features [94].

Specific fits reported across platforms:

  • Fortune 500 and large enterprise brands with board-level AI search investment and budget for Enterprise contracts [92].
  • Companies needing Agent Analytics to monitor AI crawler behavior and page-level citation attribution [96].
  • Brands requiring SOC 2 Type II and HIPAA compliance for regulated industries such as finance and healthcare [99].
  • Marketing teams managing AI visibility across 150+ regions and 30+ languages simultaneously [101].
  • Organizations that prioritize real-user query intelligence through Prompt Volumes [103].
  • Teams that want content execution alongside measurement, using Profound Agents to draft and publish optimized content [105].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Profound for Gemini visibility tracking?
  • Is Profound a bad fit for small teams that need cheap, self-serve Gemini monitoring?

Profound is probably not the best fit for buyers whose primary requirement is inexpensive, immediately self-serve Gemini tracking. Multiple independent reviews state Gemini requires Enterprise pricing, so the $99 and $399 published tiers do not deliver the core use case [108].

Reported poor fits:

  • Mid-market companies or agencies seeking published Gemini tracking pricing under $1,000/month [114].
  • Small teams needing lightweight, single-engine Gemini-only monitoring [114].
  • Buyers seeking month-to-month flexibility, since annual billing is reported as the only self-serve option [116].
  • Teams that need all AI engines included in one published plan tier [118].
  • Buyers who cannot commit to a sales-led procurement process [120].
  • Teams without dedicated SEO or marketing resources to act on high volumes of analytics; one review notes Profound requires team SEO resources to act on data [121].
  • Buyers needing deep Google-specific source tagging such as Knowledge Graph, Google Business Profile, or YouTube attribution, which one platform reports Profound does not appear to provide [122].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Profound for a buyer who needs Gemini tracking under $500 per month?
  • Which Profound alternative includes Gemini on an entry-level plan?

Another option may be better whenever Gemini must be available at published, self-serve pricing. Independent reviews report that SE Visible includes Gemini on all five-engine plans from $99/month with daily refresh and no engine add-ons [123]. Scrunch Core at $250/month is reported to include ChatGPT, Perplexity, Google AIO, and Copilot, with Gemini, Claude, and Grok moving to Enterprise [123]. Goodie Starter at $295/month is reported to include Gemini on core models [123]. Otterly and Nightwatch are cited as lower-cost alternatives with monthly plans [123].

For daily Gemini checks on lower tiers, one platform recommends GetIntel (daily checks even on lower plans) or GEOflux (daily, with sentiment and source tagging) [124]. For Google-source attribution across Knowledge Graph, Google Business Profile, and YouTube, the same platform points to GEOflux or Presenc [124]. For sentiment analysis, it names GEOflux and Citenzo [124]. For MCP-based automated content gap closure, it names GetIntel Pro [124].

One platform's research, which found no documentation of Profound's Gemini capabilities, recommends GetIntel, Citenzo, RankZero, Meev, and TruLumos as well-documented alternatives with transparent pricing and verified Gemini tracking [125]. Another platform suggests Nightwatch or Geoptie for buyers wanting Gemini tracking under $50/month without a sales cycle [131].

Profound remains the stronger choice when the buyer needs Agent Analytics crawler visibility, SOC 2 and HIPAA compliance, multi-region monitoring at scale, and content-generation Agents in one platform, and can absorb Enterprise pricing [133].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Profound before signing a contract for Gemini tracking?
  • Which Gemini surfaces and Google AI experiences does Profound actually track?

The following verification items are drawn from the platform-reported questions and unresolved conflicts in this study. They are not answered by the supplied evidence and should be confirmed in writing with Profound before purchase.

  • Is Gemini tracking included in Growth, or only Enterprise/custom packages? [139]
  • Does Gemini coverage mean the Gemini consumer experience, Gemini in Google Search, Google AI Overviews, Google AI Mode, or separate tracking for each? [139]
  • Which U.S. locations, languages, devices, logged-in states, and personalization conditions are supported? [139]
  • How many Gemini prompts and responses are included, and what are the overage charges? [139]
  • Are exact response text, recommendations, cited URLs, citation position, sentiment, competitors, and historical snapshots exportable? [139]
  • What is the refresh cadence and historical retention for Gemini data? [139]
  • How are prompts generated, sampled, deduplicated, and validated against live consumer experiences rather than API outputs? [139]
  • Are additional seats, regions, languages, workspaces, integrations, Agents, or implementation services charged separately? [139]
  • What are the annual commitment, renewal, cancellation, refund, data-retention, and export terms? [139]
  • Which legal entity and official product domain should appear on the order form, given the profound.ai versus tryprofound.com discrepancy? [152]
  • Can Profound provide a Gemini-specific trial, sample report, or accuracy methodology before purchase? [139]
  • What is the actual monthly cost estimate for an Enterprise deployment tracking Gemini plus two to three other engines for a single brand with 150 prompts per month? [157]

Final AI Consensus Verdict

Profound is a mixed fit for Gemini Visibility Tracking Tools. Five of seven platforms named it during ranking discovery, with an average listed rank of 3.6 and a best rank of 1, and platforms broadly agreed that its analytics stack — mentions, citations, share of voice, sentiment, competitor benchmarking, source patterns, Prompt Volumes, and Agent Analytics — maps directly to the buyer's stated requirements [159].

The consensus breaks on Gemini access. The majority of independent reviews dated June–August 2026 state Gemini requires custom-priced Enterprise, with reported costs of $2,000–$5,000+/month, while the publicly priced Growth plan at $399/month is described as covering only ChatGPT, Perplexity, and Google AI Overviews [164]. One platform reported the opposite — Gemini on all paid plans with monthly pricing [172] — and one platform found no documentation of Profound's Gemini capabilities at all [173]. The identity audit for this study also records unresolved official-domain conflicts between profound.ai and tryprofound.com.

For buyers who can absorb Enterprise pricing and want the deepest reported crawler analytics, compliance posture, and multi-region coverage in the category, Profound is a defensible choice. For buyers who need transparent, self-serve Gemini tracking under $500/month, the evidence points to alternatives that include Gemini on entry tiers. Buyers should treat the published $99–$399 tiers as insufficient for a Gemini-focused program and verify Enterprise pricing, Gemini surface coverage, and contract terms directly before committing.

How This Review Was Produced

This review evaluates Profound only for the Gemini Visibility Tracking Tools use case. It draws on structured fit-research responses from seven AI platforms, each of which independently evaluated Profound against the same buyer prompt: a company wanting to monitor how its brand appears across Gemini and related Google AI experiences, including recommendations, mentions, citations, competitor visibility, source patterns, and changes over time.

Platforms were included when they returned a fit assessment for the entity. Ranking-stage mentions were counted separately from fit assessments. All platform research was dated 2026-09-19. Citations in this article are platform-reported evidence, not independently verified facts. Company-owned sources are labeled as owned in the Sources section; independent reviews and directories are labeled separately. Where platforms disagreed, both positions are reported rather than reconciled by assumption. No product testing, customer interviews, or independent measurement validation was performed for this review.

Methodology Limitations

  • All included platforms evaluated fit, but platform_mentions counts only platforms that named the entity during ranking discovery. Two platforms returned fit assessments without naming Profound in the ranking stage.
  • The supplied URLs were collected from platform responses and were not independently validated by the writer stage.
  • Citations are platform-reported evidence, not independently verified facts. No-search model claims require explicit verification before being described as current facts.
  • The deterministic identity audit records that conflicting official domains forced an unresolved identity, and that official-site retrieval failed for one or more mentions. The official website recovered by web search remains unverified.
  • Official-page excerpts for this entity were unavailable at retrieval time, so plan, pricing, and eligibility details rest on platform-reported and reviewer-reported sources.
  • Platform-reported research dates are provenance metadata and do not independently prove freshness.
  • Conflicting product names, pricing, and capabilities were not resolved by guessing; conflicts are described and buyers are directed to verify.
  • Vendor-reported customer outcome claims, including customer counts and Fortune 500 penetration, are not treated as independently established performance evidence.
  • Gemini-specific measurement accuracy, geographic coverage, sampling methodology, and historical-data retention are not established by the reviewed public material.
  • One platform's research found no documentation of Profound's Gemini capabilities; that absence is reported as an evidence gap, not as proof that the capability does not exist.

Explore more ai visibility llm monitoring guidance in the category directory.

From the index

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Sources

Company-Owned Sources

  • Gemini Visibility Tracker — See If Google Gemini Recommends You: https://citenzo.com/gemini-visibility-tracker/
  • GetIntel Gemini Visibility Tracker: https://getintel.ai/gemini-visibility-tracker/
  • About Answer Engine Insights: https://help.tryprofound.com/articles/3443229936-answer-engine-insights-overview?lang=en
  • Gemini Visibility Tracking — Get Cited by Google's Gemini: https://meev.ai/platform/gemini-visibility
  • Gemini Visibility Tracker, Track Your Brand in Google Gemini: https://presenc.ai/gemini-visibility-tracker
  • Profound Pricing Page: https://profound.ai/pricing
  • Brand Mention Tracker in Google Gemini: https://trylumos.ai/tools/brand-mention-tracker-gemini
  • Pricing - Profound: https://tryprofound.com/pricing
  • AI Instructions + Information (ChatGPT, Gemini, Claude, Perplexity) | Profound: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEkIQea1jsqD-V3tBxagKuVn8oHUXh3qH-YAsmJNVR5MHYOBCkBQ18nMlcA_CJIai4YOKJqukKg2EjuQu25gQFa4PQbPNW_7l2R8B2v43OMiSuJ3fmjgFy8yz5SPmEirSXN
  • Gemini Visibility Tracker: Monitor Your Brand in Google Gemini: https://www.rankzero.io/trackers/gemini
  • Profound | The AI Platform to Power Your Marketing: https://www.tryprofound.com/
  • How to Track Your Brand Visibility in AI Search With Profound: https://www.tryprofound.com/blog/how-to-track-your-visibility-in-ai-search
  • Answer Engine Insights: #1 AI Search Visibility Platform: https://www.tryprofound.com/features/answer-engine-insights
  • Pricing - Profound: https://www.tryprofound.com/pricing
  • Profound Index: https://www.tryprofound.com/profound-index
  • Additional AI research evidence173 records
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    8. AI research evidence record openai:c3
    9. AI research evidence record grok:1
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    14. AI research evidence record perplexity:c3
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    17. AI research evidence record openai:c4
    18. AI research evidence record openai:c2
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    22. AI research evidence record perplexity:c13
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    28. AI research evidence record openai:c5
    29. AI research evidence record anthropic:1-7
    30. AI research evidence record anthropic:2-4
    31. AI research evidence record anthropic:6-4
    32. AI research evidence record anthropic:35-2
    33. AI research evidence record anthropic:27-6
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    35. AI research evidence record anthropic:5-5
    36. AI research evidence record anthropic:13-1
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    38. AI research evidence record anthropic:16-11
    39. AI research evidence record anthropic:33-13
    40. AI research evidence record perplexity:c3
    41. AI research evidence record anthropic:6-7
    42. AI research evidence record deepseek:c1
    43. AI research evidence record openai:c7
    44. AI research evidence record openai:c2
    45. AI research evidence record openai:c3
    46. AI research evidence record kimi:search-no-profound-2026
    47. AI research evidence record anthropic:14-5
    48. AI research evidence record google:2.1.9
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    50. AI research evidence record google:1.2.2
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    59. AI research evidence record google:2.1.9
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    64. AI research evidence record anthropic:27-8
    65. AI research evidence record google:2.1.2
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    69. AI research evidence record openai:c2
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    72. AI research evidence record deepseek:c1
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    74. AI research evidence record openai:c3
    75. AI research evidence record grok:1
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    85. AI research evidence record anthropic:14-5
    86. AI research evidence record google:2.1.9
    87. AI research evidence record anthropic:5-5
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    89. AI research evidence record google:1.2.2
    90. AI research evidence record deepseek:c1
    91. AI research evidence record openai:c2
    92. AI research evidence record anthropic:3-3
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    100. AI research evidence record anthropic:35-2
    101. AI research evidence record anthropic:19-3
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    103. AI research evidence record anthropic:27-8
    104. AI research evidence record google:2.1.2
    105. AI research evidence record anthropic:22-4
    106. AI research evidence record anthropic:22-5
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    108. AI research evidence record anthropic:5-5
    109. AI research evidence record anthropic:13-1
    110. AI research evidence record anthropic:13-6
    111. AI research evidence record anthropic:16-11
    112. AI research evidence record anthropic:33-13
    113. AI research evidence record perplexity:c3
    114. AI research evidence record anthropic:6-7
    115. AI research evidence record anthropic:31-6
    116. AI research evidence record anthropic:16-1
    117. AI research evidence record anthropic:16-3
    118. AI research evidence record anthropic:30-5
    119. AI research evidence record anthropic:13-5
    120. AI research evidence record openai:c3
    121. AI research evidence record google:1.1.6
    122. AI research evidence record deepseek:c1
    123. AI research evidence record anthropic:31-6
    124. AI research evidence record deepseek:c2
    125. AI research evidence record kimi:search-no-profound-2026
    126. AI research evidence record kimi:getintel-schema
    127. AI research evidence record kimi:citenzo-tracker
    128. AI research evidence record kimi:rankzero-tracker
    129. AI research evidence record kimi:meev-platform
    130. AI research evidence record kimi:trylumos-tracker
    131. AI research evidence record google:1.2.2
    132. AI research evidence record google:2.1.2
    133. AI research evidence record anthropic:25-4
    134. AI research evidence record anthropic:25-5
    135. AI research evidence record anthropic:6-4
    136. AI research evidence record anthropic:35-2
    137. AI research evidence record anthropic:19-3
    138. AI research evidence record anthropic:22-4
    139. AI research evidence record openai:c3
    140. AI research evidence record anthropic:5-5
    141. AI research evidence record anthropic:13-6
    142. AI research evidence record perplexity:c3
    143. AI research evidence record anthropic:19-3
    144. AI research evidence record anthropic:19-4
    145. AI research evidence record anthropic:5-4
    146. AI research evidence record anthropic:25-1
    147. AI research evidence record anthropic:25-2
    148. AI research evidence record deepseek:c1
    149. AI research evidence record google:1.2.2
    150. AI research evidence record anthropic:16-1
    151. AI research evidence record anthropic:16-3
    152. AI research evidence record openai:c7
    153. AI research evidence record openai:c2
    154. AI research evidence record anthropic:10-13
    155. AI research evidence record anthropic:13-10
    156. AI research evidence record anthropic:24-11
    157. AI research evidence record anthropic:14-5
    158. AI research evidence record google:2.1.9
    159. AI research evidence record openai:c2
    160. AI research evidence record openai:c4
    161. AI research evidence record anthropic:1-7
    162. AI research evidence record anthropic:25-4
    163. AI research evidence record anthropic:27-8
    164. AI research evidence record anthropic:5-5
    165. AI research evidence record anthropic:13-1
    166. AI research evidence record anthropic:13-6
    167. AI research evidence record anthropic:16-11
    168. AI research evidence record anthropic:33-13
    169. AI research evidence record perplexity:c3
    170. AI research evidence record anthropic:14-5
    171. AI research evidence record anthropic:30-5
    172. AI research evidence record deepseek:c1
    173. AI research evidence record kimi:search-no-profound-2026

Independent Sources

Other Sources

  • profound.ai is for sale: https://profound.ai/
  • Additional AI research evidence173 records
    1. AI research evidence record openai:c1
    2. AI research evidence record openai:c2
    3. AI research evidence record anthropic:1-1
    4. AI research evidence record anthropic:1-2
    5. AI research evidence record anthropic:2-2
    6. AI research evidence record anthropic:3-3
    7. AI research evidence record kimi:search-no-profound-2026
    8. AI research evidence record openai:c3
    9. AI research evidence record grok:1
    10. AI research evidence record anthropic:30-5
    11. AI research evidence record anthropic:13-5
    12. AI research evidence record anthropic:5-5
    13. AI research evidence record anthropic:33-13
    14. AI research evidence record perplexity:c3
    15. AI research evidence record anthropic:6-7
    16. AI research evidence record anthropic:16-11
    17. AI research evidence record openai:c4
    18. AI research evidence record openai:c2
    19. AI research evidence record deepseek:c1
    20. AI research evidence record openai:c2
    21. AI research evidence record openai:c4
    22. AI research evidence record perplexity:c13
    23. AI research evidence record perplexity:c2
    24. AI research evidence record perplexity:c5
    25. AI research evidence record anthropic:23-8
    26. AI research evidence record anthropic:25-1
    27. AI research evidence record anthropic:25-2
    28. AI research evidence record openai:c5
    29. AI research evidence record anthropic:1-7
    30. AI research evidence record anthropic:2-4
    31. AI research evidence record anthropic:6-4
    32. AI research evidence record anthropic:35-2
    33. AI research evidence record anthropic:27-6
    34. AI research evidence record anthropic:37-9
    35. AI research evidence record anthropic:5-5
    36. AI research evidence record anthropic:13-1
    37. AI research evidence record anthropic:13-6
    38. AI research evidence record anthropic:16-11
    39. AI research evidence record anthropic:33-13
    40. AI research evidence record perplexity:c3
    41. AI research evidence record anthropic:6-7
    42. AI research evidence record deepseek:c1
    43. AI research evidence record openai:c7
    44. AI research evidence record openai:c2
    45. AI research evidence record openai:c3
    46. AI research evidence record kimi:search-no-profound-2026
    47. AI research evidence record anthropic:14-5
    48. AI research evidence record google:2.1.9
    49. AI research evidence record anthropic:10-13
    50. AI research evidence record google:1.2.2
    51. AI research evidence record anthropic:13-10
    52. AI research evidence record anthropic:24-11
    53. AI research evidence record anthropic:19-3
    54. AI research evidence record anthropic:19-4
    55. AI research evidence record anthropic:25-1
    56. AI research evidence record anthropic:25-2
    57. AI research evidence record anthropic:2-2
    58. AI research evidence record anthropic:35-2
    59. AI research evidence record google:2.1.9
    60. AI research evidence record anthropic:5-7
    61. AI research evidence record anthropic:25-4
    62. AI research evidence record anthropic:25-5
    63. AI research evidence record anthropic:35-3
    64. AI research evidence record anthropic:27-8
    65. AI research evidence record google:2.1.2
    66. AI research evidence record anthropic:22-4
    67. AI research evidence record anthropic:22-5
    68. AI research evidence record anthropic:22-6
    69. AI research evidence record openai:c2
    70. AI research evidence record openai:c4
    71. AI research evidence record anthropic:2-6
    72. AI research evidence record deepseek:c1
    73. AI research evidence record anthropic:23-8
    74. AI research evidence record openai:c3
    75. AI research evidence record grok:1
    76. AI research evidence record anthropic:16-1
    77. AI research evidence record anthropic:16-2
    78. AI research evidence record anthropic:16-3
    79. AI research evidence record anthropic:13-3
    80. AI research evidence record anthropic:5-3
    81. AI research evidence record anthropic:13-4
    82. AI research evidence record anthropic:30-5
    83. AI research evidence record anthropic:10-3
    84. AI research evidence record anthropic:5-4
    85. AI research evidence record anthropic:14-5
    86. AI research evidence record google:2.1.9
    87. AI research evidence record anthropic:5-5
    88. AI research evidence record anthropic:35-2
    89. AI research evidence record google:1.2.2
    90. AI research evidence record deepseek:c1
    91. AI research evidence record openai:c2
    92. AI research evidence record anthropic:3-3
    93. AI research evidence record anthropic:3-24
    94. AI research evidence record anthropic:1-2
    95. AI research evidence record anthropic:27-6
    96. AI research evidence record anthropic:25-4
    97. AI research evidence record anthropic:25-5
    98. AI research evidence record anthropic:35-3
    99. AI research evidence record anthropic:6-4
    100. AI research evidence record anthropic:35-2
    101. AI research evidence record anthropic:19-3
    102. AI research evidence record anthropic:19-4
    103. AI research evidence record anthropic:27-8
    104. AI research evidence record google:2.1.2
    105. AI research evidence record anthropic:22-4
    106. AI research evidence record anthropic:22-5
    107. AI research evidence record anthropic:22-6
    108. AI research evidence record anthropic:5-5
    109. AI research evidence record anthropic:13-1
    110. AI research evidence record anthropic:13-6
    111. AI research evidence record anthropic:16-11
    112. AI research evidence record anthropic:33-13
    113. AI research evidence record perplexity:c3
    114. AI research evidence record anthropic:6-7
    115. AI research evidence record anthropic:31-6
    116. AI research evidence record anthropic:16-1
    117. AI research evidence record anthropic:16-3
    118. AI research evidence record anthropic:30-5
    119. AI research evidence record anthropic:13-5
    120. AI research evidence record openai:c3
    121. AI research evidence record google:1.1.6
    122. AI research evidence record deepseek:c1
    123. AI research evidence record anthropic:31-6
    124. AI research evidence record deepseek:c2
    125. AI research evidence record kimi:search-no-profound-2026
    126. AI research evidence record kimi:getintel-schema
    127. AI research evidence record kimi:citenzo-tracker
    128. AI research evidence record kimi:rankzero-tracker
    129. AI research evidence record kimi:meev-platform
    130. AI research evidence record kimi:trylumos-tracker
    131. AI research evidence record google:1.2.2
    132. AI research evidence record google:2.1.2
    133. AI research evidence record anthropic:25-4
    134. AI research evidence record anthropic:25-5
    135. AI research evidence record anthropic:6-4
    136. AI research evidence record anthropic:35-2
    137. AI research evidence record anthropic:19-3
    138. AI research evidence record anthropic:22-4
    139. AI research evidence record openai:c3
    140. AI research evidence record anthropic:5-5
    141. AI research evidence record anthropic:13-6
    142. AI research evidence record perplexity:c3
    143. AI research evidence record anthropic:19-3
    144. AI research evidence record anthropic:19-4
    145. AI research evidence record anthropic:5-4
    146. AI research evidence record anthropic:25-1
    147. AI research evidence record anthropic:25-2
    148. AI research evidence record deepseek:c1
    149. AI research evidence record google:1.2.2
    150. AI research evidence record anthropic:16-1
    151. AI research evidence record anthropic:16-3
    152. AI research evidence record openai:c7
    153. AI research evidence record openai:c2
    154. AI research evidence record anthropic:10-13
    155. AI research evidence record anthropic:13-10
    156. AI research evidence record anthropic:24-11
    157. AI research evidence record anthropic:14-5
    158. AI research evidence record google:2.1.9
    159. AI research evidence record openai:c2
    160. AI research evidence record openai:c4
    161. AI research evidence record anthropic:1-7
    162. AI research evidence record anthropic:25-4
    163. AI research evidence record anthropic:27-8
    164. AI research evidence record anthropic:5-5
    165. AI research evidence record anthropic:13-1
    166. AI research evidence record anthropic:13-6
    167. AI research evidence record anthropic:16-11
    168. AI research evidence record anthropic:33-13
    169. AI research evidence record perplexity:c3
    170. AI research evidence record anthropic:14-5
    171. AI research evidence record anthropic:30-5
    172. AI research evidence record deepseek:c1
    173. AI research evidence record kimi:search-no-profound-2026

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
46
Ranking mentions
5 of 7
Platform share
71%
Final consensus rank
#2

Research trail and source mix

Configured platforms

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

Source mix

30 independent · 15 company-owned · 1 unclear

Evidence support

38 direct · 7 partial

Important limitation

Use the run research_date as the study date. Platform-reported dates are provenance metadata and do not independently prove freshness.

Source snapshot SHA-256 95232474706fd7a74f52b7e6f7be833d56acdf6a9d31f31a93084a63f8960fa5