Answer Capsule
Profound is a good-to-strong fit for AI Search Agencies doing competitive citation analysis, especially those serving larger clients who need multi-engine citation mapping and centralized client workspaces. Two of six platforms named Profound during ranking discovery (openai, deepseek), and both ranked it first; the other four platforms evaluated fit without naming it in the ranking stage. The strongest reason to consider it is its citation-focused Answer Engine Insights feature set, which maps cited URLs, classifies sources, and benchmarks citation share against competitors. The main limitation is transparency: Enterprise pricing, exact engine coverage, page-type classification, and independent validation of citation accuracy are all unclear or undocumented.
Research Snapshot
| Field | Value |
|---|---|
| Platform mentions in ranking stage | 2 of 6 platforms (openai, deepseek) |
| Share of included platform responses | 33.3% |
| Average listed rank | 1.0 |
| Best listed rank | 1 |
| Relevant product/model/plan | Profound Answer Engine Insights / Enterprise plan with competitive citation tracking; Profound for Agencies (Agency Growth) |
| Overall use-case fit | Good to strong; strongest for enterprise-client agencies, weaker for lean or high-volume small-client rosters |
| Research date | 2026-09-18 |
Why Profound Qualified for This Study
Questions This Section Answers
- Is Profound a good choice for AI Search Agencies for Competitive Citation Analysis?
- Why did only two of six AI platforms name Profound during ranking discovery?
Profound qualified because it is a purpose-built AI visibility and citation-tracking platform whose public materials directly address the study's use case: mapping competitor citations, identifying cited domains and pages, and comparing citation architecture across brands [1]. It was named during ranking discovery by two of the six included platforms — openai and deepseek — and both placed it at rank 1, giving it the highest average listed rank in the set (1.0) despite a 33.3% platform share. The remaining four platforms (anthropic, grok, perplexity, kimi) evaluated Profound's fit without naming it in the ranking stage, so their contributions inform capability analysis rather than ranking position.
Platform fit ratings diverged: openai and grok rated it a strong fit, anthropic, deepseek, and perplexity rated it good, and kimi rated it uncertain (fit_ratings_by_platform). That spread is itself a finding — the disagreement centers on documentation and transparency rather than on whether the core citation-analysis capability exists.
The Product, Model, Plan, or Service Most Relevant to AI Search Agencies for Competitive Citation Analysis
Questions This Section Answers
- Which Profound plan should an AI Search Agency choose for competitive citation analysis across multiple client brands?
- Does Profound for Agencies include competitive citation tracking, or is that limited to the Enterprise plan?
The relevant offering is Profound Answer Engine Insights with competitive citation tracking, delivered through the Enterprise plan or through Profound for Agencies using Agency Growth [4]. Answer Engine Insights is the module that tracks citations, visibility, and share of voice, and it is described as available on all plans and located in the Analytics area [8].
For agencies specifically, Profound for Agencies describes centralized client management, agency-level workspaces, visibility into brands and competitors, and cited-source opportunities [5]. Agency Mode provides workspace management, usage monitoring, and consolidated billing for Agency Growth, with Enterprise agencies handled by a dedicated account team [10]. Independent coverage describes separate pitch and client workspaces with their own prompts, competitors, models, data, and lifecycle controls [11], and Pitch Workspaces that spin up a prospect trial with 25 custom prompts and convert to a client workspace after sale [12].
One naming conflict should be flagged: kimi reported that Profound's exact product names and the "Profound Answer Engine Insights / Enterprise plan" framing could not be aligned with public company materials and that "Profound for Agencies" was not traceable to public pages during its search [14]. Other platforms retrieved those pages directly [5]. Buyers should treat the product naming as verifiable but confirm the exact plan SKU in writing.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Profound does well for competitive citation analysis?
- Does Profound identify which specific domains and pages influence AI answers?
The clearest cross-platform agreement is that Profound tracks citations at the URL level and classifies sources. Company materials state the platform shows every cited URL for each prompt, including competitor citations, and that every cited source is categorized as Owned, Competitor, Earned Media, PR Wire, Social, or Institution [16]. Grok's findings describe citation analytics identifying top-cited publishers, authors, domain types, and page-level sources driving AI citations [19]. Perplexity's findings state that users can add a domain, import prompts, and collect citation data across tracked answer engines immediately [20].
Platforms also agreed that competitor identification is citation-driven rather than list-driven. Profound defines competitors based on who is getting citations in AI-generated answers for tracked prompts, not predefined lists, and include/exclude controls surface unexpected competitors [21]. Citation Categories allow filtering and benchmarking citation share against competitors by platform, topic, or prompt [24].
A third area of agreement is multi-client agency operations. Centralized client management, agency-level workspaces, usage monitoring, and consolidated billing are described in company materials [26], and independent coverage confirms separate pitch and client workspaces [28].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Is Profound's citation data independently validated, or are the accuracy claims vendor-reported?
- How many AI engines does Profound actually cover on the Enterprise plan?
The sharpest disagreement is about verifiability. Kimi rated Profound an uncertain fit, reporting that no verifiable public information was found for competitive citation analysis features, pricing, engine coverage, or methodology, and that every named competitor publishes detailed feature claims with transparent pricing while Profound requires sales engagement [29]. The other five platforms found usable public documentation. This is a documentation conflict, not necessarily a capability conflict, but it materially affects pre-purchase evaluation.
Engine coverage is unresolved. Profound's public pricing page lists ChatGPT, Perplexity, and Google AI Overviews as standard Answer Engine Insights coverage and states Enterprise can track up to nine answer engines [30]. Anthropic's findings note the standard comparison visibly lists three engines while Enterprise claims up to nine, and that the exact Enterprise engine list, geographic availability, and parity of citation data across engines are unclear [31]. Grok's findings describe up to 9-10 answer engines on Enterprise [34]. Claude access is reported as gated behind Enterprise pricing regardless of plan [33].
Page-type classification is a documented gap. Independent coverage states Profound documents citation authority at domain level but not page-type classification, unlike Peec, Otterly, Semrush, Scrunch, or Ahrefs [35]. That limits diagnostic precision on which content formats — news, guides, product pages, forums — drive citations.
Measurement semantics are also contested. Independent analysis states a citation in Profound means the brand name or domain appeared in an AI response for a configured prompt, and that this is a mention count rather than a ranking position [37]. The same source notes AI engines break a single prompt into 8-12 parallel sub-queries that are not visible in configured-prompt analysis, and that a December 2025 study found 68% of pages cited in AI Overviews were not in the top 10 organic results [39]. Independent discussion also flags uncertainty about the difference between citation tracking and actual business impact [42].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Can Profound show which competitor pages gained or lost AI citations over time?
- Does Profound translate competitive citation findings into an actionable GEO strategy?
Competitive citation mapping is the core strength. Profound tracks competitor pages over time against historical baselines and detects citation performance changes via AI-generated gap analysis [43]. A platform comparison view shows where competitors outperform on specific platforms and where the buyer has an advantage [44]. Data refreshes on a near real-time basis with less than one week latency [45].
Authority-source discovery is supported through citation categories. Filtering to Earned Media sources identifies the publishers and authors most cited in AI responses about a category [46], and the platform identifies top-cited publishers and authors driving AI citations [47]. It also shows which types of pages answer engines cite and the authority each source carries [49].
GEO strategy translation is partial. Profound combines visibility analysis with Agents, content generation, optimization workflows, and integrations [51], and grok's findings describe insights feeding into content optimization, rewriting pages with citation decay, and agent-based AEO campaigns [53]. However, independent analysis states Profound is a monitoring tool that surfaces citation gaps but does not fix them, with no CMS integration, schema fixes, or content execution [54]. Lean teams are reported to often need an external contractor at roughly $2,000/month to extract real value from Agent workflows [57].
Reporting and export are plan-dependent. CSV and JSON exports are supported on Growth and Enterprise, while API access, SSO, Sheets-based bulk runs, and fully custom reporting are Enterprise-only [59]. Profound does not publicly document a native white-label client portal or fully rebranded interface [61].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Profound cost per month for an agency, and are there setup or cancellation fees?
- What does each additional client workspace cost on Profound for Agencies?
Public self-serve pricing lists Starter at $99/month billed yearly with 50 prompts and ChatGPT tracking only, and Growth at $399/month billed yearly with 100 prompts, three Answer Engines, and 400 Agent credits per month; Enterprise is custom-priced [62]. Independent coverage confirms the same two self-serve tiers and annual-only billing, with Growth including 9,000 responses monthly, daily tracking, 3 seats, 1 language, and 1 region [63].
Agency economics are the least transparent part. Independent coverage reports Profound publishes a $399/month add-on for each Agency Growth client workspace [65], and separately reports Agency Growth as a $99 add-on to a Brand base with each full Client Workspace at $399/month [66]. The base fee for Agency Growth is described as unpublished in one source [65]. Enterprise pricing is custom-quoted, with third-party reports citing a $2,000–$5,000+/month range depending on platform count and seats [64], and another third-party report citing $2,000–$8,000+/month [67]. A separate early-2026 report cited $2,000–$5,000+ per month with the qualifier that it was unclear whether this was per client workspace or a base fee [64].
Additional cost variables include credit-based Agent usage, where more complex or multi-step runs consume more credits, and additional credit thresholds requiring an Enterprise package [62]. Accounts may be configured for overage billing or to pause when credits are exhausted, and the commercial treatment must be confirmed [62]. Annual billing is the only published option for self-serve tiers [62]. Public materials do not clearly state minimum Enterprise term, renewal, cancellation, refund, data-retention, or overage-notification terms [62]. A free trial is listed on the pricing page [68], though one earlier source stated no free trial was available, and trial duration and credit allocation are not published [63].
Best Suited For
Questions This Section Answers
- Which type of AI Search Agency gets the most value from Profound for competitive citation analysis?
Profound is best suited to agencies managing multiple brands that need centralized client workspaces and competitive analysis of brand mentions, cited domains, cited pages, and answer-engine visibility [69]. It fits enterprise buyers requiring custom prompt volumes, support, SSO/SAML, and SOC 2 compliance claims [71], and teams that want citation intelligence connected to content and agent-based execution [69].
Independent coverage frames the strongest fit as agencies serving enterprise clients with budgets supporting $399+/month per client workspace, needing competitive benchmarking across 8+ AI platforms, and able to dedicate AEO-focused analyst capacity to act on citation insights [74]. Pitch Workspace architecture also suits agencies that want a structured prospect-to-client workflow [77].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Profound for competitive citation analysis?
Profound is probably not the best choice for small agencies needing inexpensive multi-engine monitoring, buyers requiring a publicly itemized Enterprise price or fixed overage schedule, or projects requiring independently validated citation accuracy or guaranteed coverage of every major AI platform [79]. Independent coverage adds that agencies with 10+ active clients at $300–500/month retainers face margin-prohibitive per-client costs, and that lean teams or solopreneurs without capacity to configure complex agent workflows are a weak fit [82].
Buyers who need fully white-label client dashboards or domain-swapped deployments without custom negotiation, or who need citation analysis combined with immediate content execution or CMS integration, are also poorly matched [84]. Organizations focused exclusively on page-type classification should look elsewhere, since Profound documents domain-level authority but not page-type classification [86].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Profound for an agency that needs published per-client pricing?
- Which alternative should a buyer choose if they need page-type citation classification?
Several alternatives are documented in the supplied research. Trakkr is described as offering $500/month for 10 brands then $50/brand, and Peec as offering published multi-client pricing with marketing dashboards [88]. Trakkr, WorkDuo, and DeepSmith are described as explicitly offering white-label reporting and client-facing branding [89]. Peec, Otterly, Semrush, Scrunch, and Ahrefs are described as providing explicit page-type categorization [90]. SE Ranking, Scrunch, Otterly, and Peec are described as offering lower entry points or bundled pricing for agencies managing 10+ clients on sub-$500/month retainers [88].
Kimi's research surfaced a different alternative set with published self-service tiers: Cited (citedintel.com) with competitor benchmarking across 3–7 platforms and 25–125 prompts, Citany covering 8 engines and comparing up to 10 competitors per brand, Citation Radar with a free tier and Starter at $39/month, GrackerAI GEO Heist for reverse-engineering competitor citations, Viali for gap analysis naming query, engine, and source cited, Web Cited running prompts three times per engine with 95% confidence intervals, and Citeme for competitor citation-rate and technical scoring [92]. These are vendor-published claims and were not independently validated.
HubSpot AEO is described in independent technology coverage as including visibility tracking, competitor analysis, citation analysis, and prioritized recommendations [99]. Buyers who need brand hallucination detection or citation accuracy monitoring specifically may prefer Otterly.AI or Wrodium, which are described as specializing in whether citations are factually accurate rather than merely present [88].
Questions to Verify Before Buying
Questions This Section Answers
- What should an AI Search Agency confirm with Profound before signing an Enterprise contract?
Before signing, confirm which exact Answer Engines, models, regions, and response types are included in the quoted Enterprise package, since public materials list three standard engines while Enterprise claims up to nine [100]. Confirm whether competitor citations are available at both domain and URL/page level with exportable evidence and timestamps [100]. Ask how citations are deduplicated, classified, and attributed when an answer uses retrieval, browsing, or hidden fan-out queries [100].
Confirm the fixed monthly base fee for Agency Growth, how many client and pitch workspaces are included before per-workspace add-ons apply, and whether the $399/month per-client figure is the only published agency cost [104]. Ask whether Agent credits are shared across clients or isolated per workspace, and what additional credits cost [100]. Confirm the Enterprise minimum term, renewal, cancellation, refund, and overage-billing terms, none of which are clearly published [100].
Verify whether Claude engine access requires Enterprise and what the minimum commitment is [106]. Ask whether page-type detection is available or on the roadmap [107]. Confirm the exact scope of white-label capabilities, including whether per-workspace client branding is available without custom negotiation [108]. Ask what independent validation, audit documentation, or benchmark data supports citation accuracy and completeness, since public evidence does not independently validate citation completeness, precision, or page-level attribution accuracy [100].
Final AI Consensus Verdict
Profound is a good-to-strong fit for AI Search Agencies for Competitive Citation Analysis, with the strongest case for agencies serving larger clients that need multi-engine citation mapping, competitor benchmarking, and centralized client workspaces. Two of six platforms named it during ranking discovery and both ranked it first, but that reflects ranking-stage visibility rather than proven product superiority. The capability evidence is concentrated in company-owned materials, and independent sources consistently flag the same gaps: no published Enterprise pricing, unclear engine coverage, no page-type classification, no independent validation of citation accuracy, and monitoring without execution. Buyers should run a proof-of-concept to validate page-level citation evidence, engine coverage, prompt sampling, exports, and total multi-client cost before signing an Enterprise agreement. For a broader comparison across the agencies evaluated for this use case, see the AI Search Agencies for Competitive Citation Analysis consensus index, and browse the full ai search geo agencies directory for related fit reviews.
How This Review Was Produced
This review was produced from platform-reported research collected on 2026-09-18 across six included platforms: openai (gpt-5.6-luna), anthropic (claude-haiku-4-5-20251001), grok (x-ai/grok-4.3), perplexity (perplexity/sonar), deepseek (deepseek-v4-flash), and kimi (moonshotai/kimi-k2.6). Each platform was asked to recommend AI search agencies for competitive citation analysis and to assess Profound's fit for that use case. Ranking statistics count only platforms that named Profound during ranking discovery; fit findings include all platforms that evaluated it. No personal testing, customer interviews, or independent verification were performed. Citations are platform-reported evidence, not independently verified facts.
Methodology Limitations
Several limitations apply. Company-owned citations materially outnumber independent citations in the supplied evidence, so company claims should not be read as independently verified. Platform-reported research dates differ from the authoritative run date: deepseek's research is dated 2026-01-15 while the run date is 2026-09-18, so deepseek's pricing and capability findings may be stale. The supplied URLs were collected from platform responses and were not independently validated. Kimi reported that it could not locate public documentation for Profound's competitive citation features, pricing, or engine coverage, which conflicts with what other platforms retrieved; this conflict is disclosed rather than resolved. Pricing tier naming and structure changed during 2026, and sources disagree on whether Agency Growth has an unpublished base fee or whether $399/month per client workspace is the only published agency cost. Trial availability is also conflicted. No independent benchmark validates Profound's citation attribution accuracy or completeness. Agreement among AI platforms does not prove product quality.
Explore more ai search geo agencies guidance in the category directory.
Sources
Company-Owned Sources
- Citany — AI Brand Visibility Monitor Across 8 AI Engines: https://citany.com/
- GEO Heist: Reverse-Engineer Competitor AI Citations: https://gracker.ai/solutions/seo-heist/
- About Answer Engine Insights | Profound Help Center: https://help.tryprofound.com/articles/3443229936-answer-engine-insights-overview
- Agency Mode overview: https://help.tryprofound.com/articles/8593548222-agency-mode-overview
- Competitor Intelligence — Why Rivals Get Cited | Viali: https://viali.ai/product/competitive-intelligence/
- Web Cited | Weekly AI Citation Monitoring for SEO, AEO & GEO: https://web-cited.com/
- AI Citation Tracking for ChatGPT, Perplexity & Gemini: https://www.citationradar.ai/
- AI SEO & Generative Engine Optimization (GEO) Tool | Cited: https://www.citedintel.com/
- See who AI recommends instead of you: https://www.citeme.io/features/competitive-monitoring
- AI Search Optimization Platform for Brands | Cited: https://www.getcited.in/platform
- Profound — AI Search / Answer Engine Insights: https://www.tryprofound.com
- Profound for Agencies: https://www.tryprofound.com/agencies
- The Complete AEO Platform | Profound: https://www.tryprofound.com/features
- AI Citation Analysis Tool for AEO | Profound: https://www.tryprofound.com/features/answer-engine-insights/citations
- AI Search Competitive Benchmarking Tool | Profound: https://www.tryprofound.com/features/answer-engine-insights/competitors
- Pricing - Profound: https://www.tryprofound.com/pricing
- Profound — AI visibility platform overview: https://www.tryprofound.com/product
- Profound for Agencies: https://www.tryprofound.com/solutions/agencies
Additional AI research evidence110 records
- AI research evidence record deepseek:c1
- AI research evidence record grok:1
- AI research evidence record grok:2
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:1-17
- AI research evidence record anthropic:13-2
- AI research evidence record grok:1
- AI research evidence record perplexity:c5
- AI research evidence record openai:c3
- AI research evidence record anthropic:29-12
- AI research evidence record anthropic:32-6
- AI research evidence record anthropic:32-12
- AI research evidence record kimi:profund_missing_1
- AI research evidence record deepseek:c3
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:2-7
- AI research evidence record anthropic:19-10
- AI research evidence record grok:2
- AI research evidence record perplexity:c15
- AI research evidence record anthropic:1-5
- AI research evidence record anthropic:1-14
- AI research evidence record anthropic:1-15
- AI research evidence record anthropic:2-2
- AI research evidence record anthropic:2-8
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:29-12
- AI research evidence record kimi:profund_missing_1
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-17
- AI research evidence record anthropic:13-1
- AI research evidence record anthropic:13-2
- AI research evidence record grok:8
- AI research evidence record anthropic:21-1
- AI research evidence record anthropic:21-21
- AI research evidence record anthropic:27-1
- AI research evidence record anthropic:27-2
- AI research evidence record anthropic:9-6
- AI research evidence record anthropic:9-7
- AI research evidence record anthropic:9-8
- AI research evidence record openai:c4
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:1-18
- AI research evidence record anthropic:1-19
- AI research evidence record anthropic:19-17
- AI research evidence record anthropic:2-14
- AI research evidence record anthropic:19-6
- AI research evidence record anthropic:2-13
- AI research evidence record anthropic:19-5
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record grok:0
- AI research evidence record anthropic:24-2
- AI research evidence record anthropic:24-5
- AI research evidence record anthropic:27-4
- AI research evidence record anthropic:27-7
- AI research evidence record anthropic:27-9
- AI research evidence record anthropic:16-1
- AI research evidence record anthropic:13-2
- AI research evidence record anthropic:29-2
- AI research evidence record openai:c1
- AI research evidence record anthropic:13-1
- AI research evidence record anthropic:13-2
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:32-14
- AI research evidence record grok:8
- AI research evidence record perplexity:c7
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c1
- AI research evidence record anthropic:13-2
- AI research evidence record grok:0
- AI research evidence record anthropic:1-17
- AI research evidence record anthropic:17-1
- AI research evidence record anthropic:17-2
- AI research evidence record anthropic:32-6
- AI research evidence record anthropic:32-12
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c4
- AI research evidence record anthropic:27-6
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:27-4
- AI research evidence record anthropic:29-2
- AI research evidence record anthropic:21-1
- AI research evidence record anthropic:21-21
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:29-2
- AI research evidence record anthropic:21-1
- AI research evidence record anthropic:21-21
- AI research evidence record kimi:citedintel_com_1
- AI research evidence record kimi:citany_com_1
- AI research evidence record kimi:citationradar_ai_1
- AI research evidence record kimi:gracker_ai_1
- AI research evidence record kimi:viali_ai_1
- AI research evidence record kimi:web_cited_com_1
- AI research evidence record kimi:citeme_io_1
- AI research evidence record openai:c5
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-17
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:9-6
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:32-14
- AI research evidence record anthropic:13-2
- AI research evidence record anthropic:21-1
- AI research evidence record anthropic:29-2
- AI research evidence record openai:c2
- AI research evidence record openai:c4
Independent Sources
- Best Services for Improving AI Citations in 2026 - aeoengine blog: https://aeoengine.ai/blog/best-services-for-improving-ai-assistant-citations
- Best AEO Citation Tracking Tools 2026 (Profound vs Goodie vs Otterly) | AO Network: https://aonetwork.com/tools/best-aeo-citation-tracking-tools
- AEO Tools for Agencies: Best Multi-Client Platforms | DeepSmith: https://deepsmith.ai/blog/best-aeo-tools-for-agencies
- Profound Pricing Review September 2026 | Maintouch: https://maintouch.com/blogs/profound-ai-pricing
- Profound AI Visibility: What It Misses | Maintouch: https://maintouch.com/blogs/profound-ai-review-citations-limits
- Profound AI Review for 2026: Is It Worth the Investment? - Radarkit: https://radarkit.ai/blog/profound-ai-review/
- Best AI Citation Tracking Tools in 2026: https://ranketta.com/blog/best-ai-citation-tracking-tools-2026
- Profound for Agencies: Pricing, Client Reporting and Fit | Trakkr: https://trakkr.ai/reviews/profound-review/agency
- Profound AI Review 2026: Is It Still Worth It? - SE Visible: https://visible.seranking.com/blog/profound-review/
- Profound Pricing 2026: $99 and $399, Annual Billing Only: https://www.get-ryze.ai/blog/profound-pricing-2026
- Profound Review 2026: Features, Pricing, Honest Limits: https://www.get-ryze.ai/blog/profound-review-2026
- Most GEO tools track citations. Which ones track business impact?: https://www.reddit.com/r/GEO_optimization/comments/23t1f0/most_geo_tools_track_citations_which_ones_track/
- AI Citation Tracking Tools: Monitor Your Brand (2026: https://www.stackmatix.com/blog/ai-citation-tracking-tools
- I tested the 7 best AEO tools & here's the one I'll use every day in 2026: https://www.techradar.com/pro/i-tested-the-7-best-aeo-tools
Additional AI research evidence110 records
- AI research evidence record deepseek:c1
- AI research evidence record grok:1
- AI research evidence record grok:2
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:1-17
- AI research evidence record anthropic:13-2
- AI research evidence record grok:1
- AI research evidence record perplexity:c5
- AI research evidence record openai:c3
- AI research evidence record anthropic:29-12
- AI research evidence record anthropic:32-6
- AI research evidence record anthropic:32-12
- AI research evidence record kimi:profund_missing_1
- AI research evidence record deepseek:c3
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:2-7
- AI research evidence record anthropic:19-10
- AI research evidence record grok:2
- AI research evidence record perplexity:c15
- AI research evidence record anthropic:1-5
- AI research evidence record anthropic:1-14
- AI research evidence record anthropic:1-15
- AI research evidence record anthropic:2-2
- AI research evidence record anthropic:2-8
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:29-12
- AI research evidence record kimi:profund_missing_1
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-17
- AI research evidence record anthropic:13-1
- AI research evidence record anthropic:13-2
- AI research evidence record grok:8
- AI research evidence record anthropic:21-1
- AI research evidence record anthropic:21-21
- AI research evidence record anthropic:27-1
- AI research evidence record anthropic:27-2
- AI research evidence record anthropic:9-6
- AI research evidence record anthropic:9-7
- AI research evidence record anthropic:9-8
- AI research evidence record openai:c4
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:1-18
- AI research evidence record anthropic:1-19
- AI research evidence record anthropic:19-17
- AI research evidence record anthropic:2-14
- AI research evidence record anthropic:19-6
- AI research evidence record anthropic:2-13
- AI research evidence record anthropic:19-5
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record grok:0
- AI research evidence record anthropic:24-2
- AI research evidence record anthropic:24-5
- AI research evidence record anthropic:27-4
- AI research evidence record anthropic:27-7
- AI research evidence record anthropic:27-9
- AI research evidence record anthropic:16-1
- AI research evidence record anthropic:13-2
- AI research evidence record anthropic:29-2
- AI research evidence record openai:c1
- AI research evidence record anthropic:13-1
- AI research evidence record anthropic:13-2
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:32-14
- AI research evidence record grok:8
- AI research evidence record perplexity:c7
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c1
- AI research evidence record anthropic:13-2
- AI research evidence record grok:0
- AI research evidence record anthropic:1-17
- AI research evidence record anthropic:17-1
- AI research evidence record anthropic:17-2
- AI research evidence record anthropic:32-6
- AI research evidence record anthropic:32-12
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c4
- AI research evidence record anthropic:27-6
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:27-4
- AI research evidence record anthropic:29-2
- AI research evidence record anthropic:21-1
- AI research evidence record anthropic:21-21
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:29-2
- AI research evidence record anthropic:21-1
- AI research evidence record anthropic:21-21
- AI research evidence record kimi:citedintel_com_1
- AI research evidence record kimi:citany_com_1
- AI research evidence record kimi:citationradar_ai_1
- AI research evidence record kimi:gracker_ai_1
- AI research evidence record kimi:viali_ai_1
- AI research evidence record kimi:web_cited_com_1
- AI research evidence record kimi:citeme_io_1
- AI research evidence record openai:c5
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-17
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:9-6
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:32-14
- AI research evidence record anthropic:13-2
- AI research evidence record anthropic:21-1
- AI research evidence record anthropic:29-2
- AI research evidence record openai:c2
- AI research evidence record openai:c4
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- Study date
- September 18, 2026
- Platforms analyzed
- 6
- Source records
- 32
- Ranking mentions
- 2 of 6
- Platform share
- 33%
- Final consensus rank
- #3
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
14 independent · 18 company-owned
Evidence support
13 direct · 8 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 2d1a31401dfb1ab8d5c0227d1f5820227a4d5736e0a86a76134e55d346f033d8