Answer Capsule
Profound is a good fit for CMOs who need recurring, board-ready AI search visibility measurement, competitor benchmarking, and citation intelligence — provided they have enterprise budget and dedicated staff to act on the data. Four of seven platforms named Profound during ranking discovery (deepseek, google, grok, kimi), a 57% share of included platform responses, with an average listed rank of 4.5 and a best rank of 1. The strongest reason to consider it is purpose-built citation, share-of-voice, and source-domain analysis across multiple answer engines. The main limitation is that Profound is a measurement platform, not a verified turnkey audit consultancy, and it does not attribute AI visibility to sessions, pipeline, or revenue [1].
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 4 of 7 platforms (deepseek, google, grok, kimi) |
| Share of included platform responses | 57.1% |
| Average listed rank | 4.5 |
| Best listed rank | 1 (deepseek, google) |
| Relevant product/model/plan | Profound Enterprise Platform with Answer Engine Insights; enterprise, quote-based |
| Overall use-case fit | Good for enterprise CMOs with dedicated AEO resources; mixed-to-uncertain on turnkey audit deliverables |
| Research date | 2026-09-18 |
Platform fit ratings diverged: google and grok rated Profound a "strong" fit, openai and anthropic rated it "good," perplexity and deepseek rated it "mixed," and kimi rated it "uncertain." No platform rated it weak.
Why Profound Qualified for This Study
Questions This Section Answers
- Why did AI platforms include Profound in a ranking of AI search audit services for CMOs?
- Is Profound a legitimate enterprise AI visibility platform or an unverified vendor?
Profound qualified because multiple platforms independently identified it as a purpose-built AI search visibility and competitive intelligence platform rather than a bolt-on SEO feature. Independent reviewers describe it as purpose-built for AI search, contrasting it with AI visibility features added onto traditional SEO architecture [3]. One independent comparison names Profound and Ahrefs Brand Radar as the strongest specialists for pure AI visibility depth [4], and another calls Profound the clear leader in the AI visibility tools market [5].
Qualification was not unanimous in substance. Kimi could not verify Profound's official domain or find independent sources confirming its features, pricing, or positioning, and reported that no 2024–2026 search result it retrieved discussed Profound in the context of AI search audits [6]. Deepseek likewise found only vendor-published material and no independent validation [7]. The deterministic identity audit notes that official-site retrieval failed for profound.ai and that the matching reported domain was retained but remains unverified.
Company-reported and independent evidence should be separated here. Profound's own materials describe monitoring visibility and citations, AI agents, stakeholder-ready reports, and dedicated enterprise AEO strategy [8]. Independent directories and reviews describe citation exports, competitor visibility, citation-share analysis, and content-level attribution [9]. Funding coverage from independent journalism reports a $180M Series D at a $1.8bn valuation backed by Sequoia and Kleiner Perkins [10]; other independent sources report a $58.5M raise with customers including Ramp, US Bank, and Airbyte [11], and a reported $96M Series C at $1B valuation in February 2026 [12]. These funding figures conflict and should be treated as reported, not confirmed.
The Product, Model, Plan, or Service Most Relevant to AI Search Audit Services for CMOs
Questions This Section Answers
- Which Profound plan should a CMO choose for board-ready AI search visibility and competitive intelligence?
- Does Profound's Enterprise plan include citation analysis, competitor benchmarking, and multi-engine tracking for CMOs?
The relevant offer is the Profound Enterprise Platform, which incorporates the Answer Engine Insights module with Prompt Volumes, citation tracking, competitive benchmarking, and Agents workflow automation. Every platform that named a product pointed to an enterprise, quote-based tier rather than a self-serve plan [13].
Answer Engine Insights is the core module for this use case. It monitors and analyzes responses from RAG-based search in ChatGPT, Perplexity, Microsoft Copilot, and Google AI Overviews [18], and independent directories describe it as analyzing brand presence across ChatGPT, Perplexity, Gemini, and Copilot with mentions, rankings, sentiment, and visibility by platform [19]. Profound's own knowledge base states the dataset tracks how often a brand is cited in responses, providing insight into content usage, and that sentiment is Profound's evaluation of how the brand is portrayed in AI-generated responses [20].
Engine coverage is the single most contested product detail. Independent reviews describe coverage of 10+ engines including ChatGPT, Perplexity, Claude, Gemini, Copilot, Grok, DeepSeek, Meta AI, and Google AI Overviews [22]. Google's research reports that Claude and Gemini are gated behind the custom Enterprise tier [23], while another independent review states higher tiers unlock Perplexity and Google AI Overviews at Growth level, with Enterprise adding unlimited exports, API access, SSO, ChatGPT Shopping Analytics, and a dedicated AI Strategist [14]. Third-party sources conflict on whether enterprise supports 9, 10, or 10+ engines [17]. Buyers should confirm the exact engine list in the proposal rather than relying on any published count.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Profound does well for CMO-level AI search audits?
- Does Profound measure brand mentions, citations, and competitor share of voice across AI answer engines?
Platforms agreed on four capabilities. First, recommendation and mention measurement: Profound tracks brand visibility and mentions in AI-generated answers across multiple engines [25], and independent directories confirm tracking of mentions, citations, ranking position, sentiment, and supporting sources for share-of-voice measurement [27].
Second, citation and source-domain analysis. The platform provides citation and domain-footprint analysis, including which websites influence AI answers [26]. Profound's own citation documentation describes a Citation Share chart showing day-over-day changes and a rankings table comparing citation share to competitors [29]. Independent reviewers describe the platform as analyzing which source domains are cited by specific AI models and mapping citation-source gaps [30].
Third, competitor benchmarking. Profound explicitly claims it can track competitors across AI search by topic, prompt, and platform [32]. Independent evidence reports competitor visibility, citation-share comparisons, and identification of third-party citation opportunities [28]. Topic-level Share of Voice shows where competitors dominate and where the brand has opportunity, which one independent review describes as quantifying the board-slide narrative for CFO interpretation [33].
Fourth, enterprise readiness. Independent reviews confirm SOC 2 Type II compliance, SAML/OIDC SSO, role-based access control, premium support, and automated backups [34]. Independent directories report that teams at Ramp, DocuSign, and Figma use Profound daily to monitor brand presence and identify opportunities [36].
Agreement on these four points does not prove product quality. It reflects that multiple platforms retrieved consistent descriptions from overlapping sources, several of which are vendor-owned.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Where do AI platforms disagree about Profound's fit for CMO AI search audits?
- Is Profound a turnkey audit service or a self-serve analytics platform for CMOs?
Fit ratings split across the range. Google and grok rated Profound a strong fit [37]. OpenAI and anthropic rated it good but qualified [39]. Perplexity and deepseek rated it mixed, citing unpublished enterprise pricing and unverified methodology [41]. Kimi rated it uncertain because it could not verify the official domain or find independent confirmation of features [43].
The sharpest disagreement concerns whether Profound is an audit service at all. OpenAI states plainly that Profound is an analytics platform, not clearly a fully managed audit-and-roadmap consulting service, and that public evidence does not verify a standardized CMO-specific audit deliverable, board-report template, or guaranteed prioritized roadmap [39]. Deepseek reached the same conclusion, finding that key audit deliverables — citation and source-domain influence, content and authority gaps, prioritized roadmap, board-ready format — are not documented publicly [42]. Google, by contrast, describes Profound as the premier enterprise software for AI search audits and AEO [37].
Reporting quality is also contested. Profound states it supports stakeholder-ready reports, exports, and enterprise support [44]. Independent user evidence is more qualified: some users report limited reporting and reliance on Excel, so dashboard customization, executive summaries, scheduled delivery, and presentation quality should be validated [39]. Perplexity found no independent validation of report quality or executive dashboards [45].
Attribution is a shared limitation rather than a disagreement. Independent reviews state the platform shows where a brand appears in AI answers, not which sessions landed on the site, which pages they hit, or conversion outcomes [40]. Independent users report difficulty connecting mentions and citations to clicks, revenue, or business impact [39]. No platform claimed Profound provides reliable revenue attribution.
Identity remains unresolved. The supplied official website is profound.ai, but retrieved product and pricing materials are hosted on tryprofound.com, and the relationship between the two domains was not established by the retrieved sources [47]. The deterministic identity audit records that official-site retrieval for profound.ai timed out and that the domain remains unverified.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does Profound cover all six capabilities a CMO needs in an AI search audit?
- How does Profound handle content and authority gap analysis and prioritized roadmaps for CMOs?
Measured against the six criteria for this category, the platform-level evidence is uneven.
| Criterion | Assessment | Evidence |
|---|---|---|
| Recommendation analysis | Advantage | Tracks brand citations, sentiment, and position across major AI platforms |
| Mention and citation measurement | Advantage | Citation Share chart with day-over-day trends and competitor rankings table |
| Competitor benchmarking | Advantage | Tracks competitors by topic, prompt, and platform; Visibility Rankings By Topic leaderboards |
| Influential source-domain analysis | Advantage | Maps which source domains specific AI models cite and citation-source gaps; Agent Analytics reveals AI crawler behavior |
| Content and authority gaps | Neutral | Prompt Volumes reveals what users ask AI systems; Agents include Content Refresh, Competitive Research, and AEO FAQ templates |
| Prioritized improvement roadmap | Neutral to unclear | Agents, opportunities, and projects exist; independent users report data overload and insufficient prioritization guidance; deepseek found no documented roadmap deliverable |
Prompt Volumes is the differentiating data asset. Independent directories describe it as a proprietary dataset creating the first accurate estimation of search conversations on LLMs [48], and one independent review reports a database of 1.35B+ real user prompts broken down by demographic intent [49]. Profound's own materials state Starter plans include 50 monthly prompts, Growth plans 100 prompts, and Enterprise is custom [50]. The methodology behind the prompt-volume dataset is proprietary and unaudited, and no independent verification of its accuracy was located.
Content execution is secondary. Independent reviews note that Profound does not close the loop between visibility insights and published content execution without third-party CMS integrations [51], and that it works best for teams with existing SEO resources to execute on its intelligence [52]. Google's research notes the platform does not push code-ready fixes or execute live updates on the buyer's CMS [53].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Profound cost per month for a CMO-scale enterprise deployment?
- Are there setup, agent-credit, or workspace fees beyond Profound's base subscription?
Public pricing is inconsistent and the enterprise tier is quote-based. The most commonly reported figures are Starter at $99 per month and Growth at $399 per month, with Enterprise custom [54]. Annual billing discounts are reported at roughly $82.50 per month for Starter and $332.50 per month for Growth [59]. One independent source cites entry pricing at $499 per month for Lite/Growth [61], and another reports the Growth plan at $399 per month for three engines with 100 prompts as hard to justify against cheaper alternatives [62].
Enterprise cost estimates are unverified. Independent reviews report enterprise deployments commonly running $2,000–$5,000+ per month [63], but this range is inferred from customer reviews and secondhand reports, not official Profound statements. One independent source states Profound does not publish public pricing at all [65], and another reports no official pricing published as of September 2026 [63]. The official pricing page routes to a demo rather than publishing Growth or Enterprise rates [66].
Additional fees are partially documented. Agency Growth lists full client workspaces as an additional $399 per month, which may not apply to a direct enterprise brand buyer [54]. Agent credits for automated content workflows are usage-based, which may make output costs hard to predict [68]. API access and unlimited data exports are gated to Enterprise [69]. Costs for expanded prompts, models, regions, languages, implementation, integrations, data retention, or professional services are unclear [54].
Contract terms are largely undisclosed. Public sources do not establish minimum contract duration, renewal terms, cancellation rights, implementation fees, service-level remedies, or price-escalation terms [54]. Self-serve tiers appear month-to-month or annual with no visible contract minimum, while Enterprise agreements are custom quote-based with terms not publicly disclosed [55]. One platform reports Enterprise as a custom contract with dedicated support and a 24-hour SLA [57]. A trial is available with one-time analysis of 10 prompts on ChatGPT only [70].
Best Suited For
Questions This Section Answers
- Is Profound a good choice for a CMO at a mid-market or enterprise brand with a board-level AI visibility mandate?
- What team structure does a CMO need for Profound to deliver value?
Profound fits CMOs at mid-market and enterprise organizations with board-level AI search mandates and dedicated AEO, SEO, content, PR, or analytics resources to act on the data. Independent research reports that 88% of CMOs and VP-level marketers are being asked by boards about optimizing for AI visibility [71], which is the demand this platform addresses.
Specific fits include large U.S. brands needing recurring multi-engine monitoring [72]; CMOs requiring competitive visibility, citation-share analysis, influential-domain discovery, and exportable evidence for executive reporting [73]; organizations with enterprise compliance requirements such as SOC 2 Type II, SAML/OIDC, and role-based access [75]; and brands needing multi-region, multi-language monitoring at scale [76]. One independent review advises choosing Profound when AI visibility is a strategic priority deserving purpose-built infrastructure and data assets [77].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Profound for AI Search Audit Services for CMOs?
- Is Profound overkill for a small marketing team that needs a one-time AI search audit?
Profound is a poor fit for small teams needing a one-time, human-produced audit rather than an analytics platform [78]. It is also a poor fit for buyers requiring guaranteed revenue attribution, formal experimentation, or a turnkey prioritized roadmap without substantial internal analysis [78].
Other poor fits: organizations unwilling to accept sales-quoted enterprise pricing or platform-learning overhead [78]; teams under $500 per month needing ROI proof within 90 days [80]; CMOs prioritizing end-to-end content creation, optimization, and publishing in one platform [81]; and organizations already embedded in Semrush, Ahrefs, or HubSpot ecosystems seeking consolidated tooling [82]. Independent users also report data overload, limited reporting workflows, learning-curve issues, and insufficient prioritization guidance [78].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Profound for a CMO who needs a fixed-price, one-time AI search audit?
- When is a broader SEO suite a better choice than Profound for AI search visibility?
Choose a specialist consulting or managed-service provider when the CMO needs a one-time board-ready audit, executive narrative, and prioritized roadmap delivered by analysts rather than software [83]. Kimi's research identified several such providers with published deliverables and pricing, including a 14-day diagnostic with a six-platform visibility baseline and composite score [84], a six-factor GEO scoring service across seven platforms with technical RAG audits and prioritized fix lists [85], a $399 one-time audit with a full refund if no actionable findings [86], automated GEO audits from $5 for 10 audits with 120+ checks [87], and $79 beta B2B SaaS audits mapped to fix actions [88]. These are vendor-owned claims and were not independently validated.
Choose a broader SEO suite such as Semrush or Ahrefs when AI-search visibility must be integrated with mature keyword, backlink, technical SEO, and content workflows [83]. One independent comparison notes that Semrush AI Visibility Toolkit and Ahrefs Brand Radar reduce context-switching without a new vendor relationship [89]. Choose a lower-cost AI-visibility tracker when the requirement is limited prompt monitoring across a few engines and enterprise support, API access, or global scale is unnecessary [83]. Independent reviews name Otterly.AI, HubSpot AEO, Ahrefs Brand Radar, Peec AI, SE Visible, and Rankability as lower-cost or mid-market alternatives [90].
Questions to Verify Before Buying
Questions This Section Answers
- What should a CMO confirm with Profound before signing an enterprise contract?
- How can a buyer verify Profound's engine coverage, attribution limits, and reporting quality before purchase?
Confirm the exact engine list, regions, languages, prompt volumes, and historical periods included in the quoted Enterprise package, since published counts conflict between 9, 10, and 10+ engines [91]. Confirm whether citation-level exports, source-domain influence rankings, competitor benchmarking, and URL- or section-level attribution are included natively or require services work [91].
Confirm whether the platform can produce scheduled, white-labeled, board-ready reports with executive summaries and trend visualizations, given independent reports of limited reporting and Excel reliance [94]. Confirm what specific workflow converts findings into a ranked roadmap and whether analyst or AEO-strategist time is included [93]. Confirm integrations for Google Analytics, CRM, content systems, data warehouses, and BI tools [93].
Confirm how prompt selection, sampling, localization, personalization, model changes, and answer variability are controlled [93]. Confirm the minimum term, renewal, cancellation, implementation, support, SLA, data-retention, and price-escalation provisions [93]. Confirm what evidence Profound can provide for attribution from AI visibility to traffic, pipeline, revenue, or brand outcomes [94]. Confirm whether profound.ai is owned or operated by the same entity as tryprofound.com and which domain governs the contract and privacy terms [95].
Final AI Consensus Verdict
Profound is a good fit for enterprise CMOs who need a data-rich AI search intelligence platform for recurring visibility measurement, competitor analysis, citation and source-domain analysis, and executive monitoring. It should be treated as a measurement and intelligence platform requiring internal or separately contracted strategy execution, not as a verified turnkey audit consultancy [96].
The consensus is qualified rather than enthusiastic. Four of seven platforms named Profound in ranking discovery, and fit ratings ranged from strong to uncertain. The strongest evidence supports citation measurement, share-of-voice benchmarking, and source-domain analysis. The weakest evidence concerns board-ready reporting quality, prioritized roadmap delivery, and business-impact attribution — none of which any platform confirmed with independent proof.
Buyers should proceed only after validating domain identity, enterprise scope, reporting quality, prioritization support, attribution limits, and commercial terms. For a broader view of how Profound compares with other providers evaluated for this use case, see the AI Search Audit Services for CMOs consensus index. Buyers who need a fixed-scope, fixed-price audit with published deliverables should also review the wider ai search audits market intelligence category directory before committing to an enterprise subscription.
How This Review Was Produced
This review synthesizes fit-research responses from seven AI platforms (openai, anthropic, google, grok, deepseek, kimi, perplexity) collected for the topic "Best AI Search Audit Services for CMOs" with a research date of 2026-09-18. Each platform independently evaluated Profound against six criteria: recommendation analysis, mention and citation measurement, competitor benchmarking, influential source-domain analysis, content and authority gaps, and prioritized improvement roadmap. Platform fit ratings were aggregated without weighting. Ranking statistics reflect only platforms that named Profound during ranking discovery. All citations are platform-reported evidence and were not independently verified by the writer stage.
Methodology Limitations
Platform-reported research dates differ from the authoritative run date: deepseek reported 2026-02-14, while the remaining six platforms reported 2026-09-18. Deepseek's findings may be stale relative to the others.
Deepseek's research ran with search disabled, so its conclusions rest on vendor-published material rather than retrieved independent sources. Kimi could not verify Profound's official domain and found no independent sources confirming its features, pricing, or positioning. The deterministic identity audit records that official-site retrieval for profound.ai timed out and that the matching reported domain was retained but remains unverified.
Pricing conflicts were not resolved. Published figures differ on the Growth tier ($399 versus $499 per month), on annual discount rates, on engine coverage counts, and on whether certain capabilities are included by default or negotiated. Enterprise cost estimates of $2,000–$5,000+ per month are inferred from customer reviews and secondhand reports, not official statements.
Many positive outcome statements are company-reported or based on incentivized or vetted user reviews and should not be treated as independent proof of ROI. No platform reported personal testing, customer experience, or independent verification of Profound's methodology, prompt-volume accuracy, or citation detection rates. The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Platform agreement on a finding does not prove product quality.
Explore more ai search audits market intelligence guidance in the category directory.
Sources
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Additional AI research evidence97 records
- AI research evidence record openai:c3
- AI research evidence record anthropic:5-2
- AI research evidence record anthropic:4-1
- AI research evidence record anthropic:39-1
- AI research evidence record anthropic:43-2
- AI research evidence record kimi:uncertain_identity
- AI research evidence record deepseek:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record google:1.1.5
- AI research evidence record anthropic:15-3
- AI research evidence record anthropic:19-7
- AI research evidence record openai:c1
- AI research evidence record anthropic:10-3
- AI research evidence record google:1.2.1
- AI research evidence record grok:2
- AI research evidence record perplexity:4
- AI research evidence record anthropic:22-1
- AI research evidence record anthropic:21-9
- AI research evidence record anthropic:20-1
- AI research evidence record anthropic:20-2
- AI research evidence record anthropic:28-4
- AI research evidence record google:1.2.3
- AI research evidence record google:1.2.4
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:28-1
- AI research evidence record openai:c3
- AI research evidence record anthropic:23-2
- AI research evidence record google:1.1.3
- AI research evidence record google:1.3.6
- AI research evidence record perplexity:6
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:7-2
- AI research evidence record google:1.3.2
- AI research evidence record anthropic:21-5
- AI research evidence record google:1.2.1
- AI research evidence record grok:2
- AI research evidence record openai:c3
- AI research evidence record anthropic:5-2
- AI research evidence record perplexity:11
- AI research evidence record deepseek:c1
- AI research evidence record kimi:uncertain_identity
- AI research evidence record openai:c2
- AI research evidence record perplexity:4
- AI research evidence record anthropic:32-2
- AI research evidence record openai:c4
- AI research evidence record anthropic:21-7
- AI research evidence record google:1.3.4
- AI research evidence record anthropic:22-4
- AI research evidence record anthropic:1-1
- AI research evidence record google:1.3.7
- AI research evidence record google:1.2.4
- AI research evidence record openai:c1
- AI research evidence record anthropic:8-3
- AI research evidence record anthropic:8-4
- AI research evidence record grok:2
- AI research evidence record perplexity:1
- AI research evidence record anthropic:12-1
- AI research evidence record anthropic:12-2
- AI research evidence record google:1.2.7
- AI research evidence record anthropic:44-16
- AI research evidence record anthropic:16-1
- AI research evidence record perplexity:11
- AI research evidence record anthropic:16-3
- AI research evidence record openai:c4
- AI research evidence record perplexity:4
- AI research evidence record google:1.2.1
- AI research evidence record anthropic:10-4
- AI research evidence record anthropic:11-2
- AI research evidence record anthropic:36-4
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:7-2
- AI research evidence record anthropic:28-4
- AI research evidence record anthropic:40-4
- AI research evidence record openai:c3
- AI research evidence record anthropic:5-2
- AI research evidence record anthropic:44-16
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:39-1
- AI research evidence record openai:c3
- AI research evidence record kimi:indexableai_audit
- AI research evidence record kimi:presenc_audit
- AI research evidence record kimi:trirank_audit
- AI research evidence record kimi:aisearchvisibility_geo
- AI research evidence record kimi:getaisearchaudit_saas
- AI research evidence record anthropic:39-1
- AI research evidence record anthropic:44-16
- AI research evidence record perplexity:4
- AI research evidence record anthropic:28-4
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record openai:c3
- AI research evidence record deepseek:c1
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- 10 Best AEO Software Tools for 2026 (Tested & Ranked) | HubSpot: https://www.hubspot.com/products/aeo/best-aeo-software
- HubSpot AEO Alternatives (2026): The Master Comparison vs the Field | Rankability Blog: https://www.rankability.com/blog/hubspot-aeo-alternatives/
- Profound AI review for agencies (2026): is it worth it for client AI: https://www.rankability.com/blog/profound-ai-review/
- Profound AI Review 2026: Strong Data, But Here's the Real Catch: https://www.scalenut.com/blogs/profound-ai-reviews
- Best AI Visibility Tools 2026: Profound vs Peec vs Otterly vs the Rest | Surmado Blog: https://www.surmado.com/blog/best-ai-visibility-tools-2026
- Profound Reviews from Real Users: https://www.trustradius.com/products/profound/reviews
- Profound AI Review 2026: Limits, Pricing & Results - Analyze AI: https://www.tryanalyze.ai/blog/profound-ai-review
- Profound AI Pricing: Is It Worth the Money? Buyer's Guide | ZeroRank: https://zerorank.ai/profound-ai-pricing
Additional AI research evidence97 records
- AI research evidence record openai:c3
- AI research evidence record anthropic:5-2
- AI research evidence record anthropic:4-1
- AI research evidence record anthropic:39-1
- AI research evidence record anthropic:43-2
- AI research evidence record kimi:uncertain_identity
- AI research evidence record deepseek:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record google:1.1.5
- AI research evidence record anthropic:15-3
- AI research evidence record anthropic:19-7
- AI research evidence record openai:c1
- AI research evidence record anthropic:10-3
- AI research evidence record google:1.2.1
- AI research evidence record grok:2
- AI research evidence record perplexity:4
- AI research evidence record anthropic:22-1
- AI research evidence record anthropic:21-9
- AI research evidence record anthropic:20-1
- AI research evidence record anthropic:20-2
- AI research evidence record anthropic:28-4
- AI research evidence record google:1.2.3
- AI research evidence record google:1.2.4
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:28-1
- AI research evidence record openai:c3
- AI research evidence record anthropic:23-2
- AI research evidence record google:1.1.3
- AI research evidence record google:1.3.6
- AI research evidence record perplexity:6
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:7-2
- AI research evidence record google:1.3.2
- AI research evidence record anthropic:21-5
- AI research evidence record google:1.2.1
- AI research evidence record grok:2
- AI research evidence record openai:c3
- AI research evidence record anthropic:5-2
- AI research evidence record perplexity:11
- AI research evidence record deepseek:c1
- AI research evidence record kimi:uncertain_identity
- AI research evidence record openai:c2
- AI research evidence record perplexity:4
- AI research evidence record anthropic:32-2
- AI research evidence record openai:c4
- AI research evidence record anthropic:21-7
- AI research evidence record google:1.3.4
- AI research evidence record anthropic:22-4
- AI research evidence record anthropic:1-1
- AI research evidence record google:1.3.7
- AI research evidence record google:1.2.4
- AI research evidence record openai:c1
- AI research evidence record anthropic:8-3
- AI research evidence record anthropic:8-4
- AI research evidence record grok:2
- AI research evidence record perplexity:1
- AI research evidence record anthropic:12-1
- AI research evidence record anthropic:12-2
- AI research evidence record google:1.2.7
- AI research evidence record anthropic:44-16
- AI research evidence record anthropic:16-1
- AI research evidence record perplexity:11
- AI research evidence record anthropic:16-3
- AI research evidence record openai:c4
- AI research evidence record perplexity:4
- AI research evidence record google:1.2.1
- AI research evidence record anthropic:10-4
- AI research evidence record anthropic:11-2
- AI research evidence record anthropic:36-4
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:7-2
- AI research evidence record anthropic:28-4
- AI research evidence record anthropic:40-4
- AI research evidence record openai:c3
- AI research evidence record anthropic:5-2
- AI research evidence record anthropic:44-16
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:39-1
- AI research evidence record openai:c3
- AI research evidence record kimi:indexableai_audit
- AI research evidence record kimi:presenc_audit
- AI research evidence record kimi:trirank_audit
- AI research evidence record kimi:aisearchvisibility_geo
- AI research evidence record kimi:getaisearchaudit_saas
- AI research evidence record anthropic:39-1
- AI research evidence record anthropic:44-16
- AI research evidence record perplexity:4
- AI research evidence record anthropic:28-4
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record openai:c3
- AI research evidence record deepseek:c1
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
- 57
- Ranking mentions
- 4 of 7
- Platform share
- 57%
- Final consensus rank
- #1
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
40 independent · 17 company-owned
Evidence support
43 direct · 14 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 613801301067cede879322c991a66da0624037000f8256089af9d9589fc4375c