Answer Capsule
Profound is a good fit for mid-market and enterprise companies that need detailed AI visibility measurement, citation analysis, competitor benchmarking, prompt monitoring, and reporting across major answer engines. Five of the seven included platforms named Profound during the ranking stage, and it finished first overall with an average listed rank of 1.2. The strongest reason to consider it is source- and citation-level analysis combined with prompt-level competitor benchmarking and daily citation collection. The main limitation is coverage and commercial transparency: Starter is ChatGPT-only, Growth publicly lists only three answer engines, Kimi support was not verified, and enterprise pricing and contract terms are not public.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 5 of 7 included platforms (deepseek, google, grok, openai, perplexity) |
| Share of included platform responses | 71.4% |
| Average listed rank | 1.2 |
| Best listed rank | 1 |
| Relevant product/model/plan | Profound Answer Engine Insights with Starter, Growth, and Enterprise tiers; Profound Shopping and Agents features where applicable |
| Overall use-case fit | Good for mid-market and enterprise AI visibility measurement; weaker for low-cost broad-coverage buyers |
| Research date | 2026-09-19 |
Why Profound Qualified for This Study
Questions This Section Answers
- Why did Profound rank first among AI visibility platforms in this 2026 study?
- How many AI platforms named Profound during the ranking stage, and does that prove product quality?
Profound qualified because it is purpose-built for the exact buyer need in this study: measuring how a brand appears across AI answer engines rather than traditional SEO rankings. Five of the seven included platforms named Profound during ranking discovery, and it received an average listed rank of 1.2 with a best rank of 1 [1].
The platform's own documentation describes citation tracking across answer engines, cited URLs, source categorization, competitor citation comparisons, daily collection, citation share, and content-strategy workflows [2]. It also describes competitor visibility rank, visibility score, citation share, share of voice, sentiment, average position, prompt-level comparisons, and competitor change monitoring [3].
Independent comparison material characterizes Profound as strong in citation depth and reports broader model coverage and enterprise-oriented positioning, while noting tier and pricing considerations [6]. An independent review describes Profound as capable for enterprise AI visibility tracking and reports public Starter and Growth pricing while highlighting pricing-structure ambiguity [7].
Platform agreement on a ranking is not proof of product quality. It reflects how consistently these systems surfaced Profound for this use case, not verified performance outcomes.
The Product, Model, Plan, or Service Most Relevant to AI Visibility Platforms
Questions This Section Answers
- Which Profound plan should a buyer choose if they need multi-engine AI visibility monitoring rather than ChatGPT-only tracking?
- Is Profound Answer Engine Insights the right product for tracking citations, competitors, and prompts across AI answer engines?
The relevant product is Profound Answer Engine Insights, sold through Starter, Growth, and Enterprise tiers, with Profound Shopping and Agents features where applicable [8].
Starter is the self-serve entry point. Growth is positioned for mid-market teams needing broader multi-engine monitoring. Enterprise is positioned for broad multi-engine monitoring, governance, and tailored prompt volumes [8].
Answer Engine Insights reports visibility, visibility rank, citation share, share of voice, sentiment, average position, cited URLs, competitors, and prompt-level comparisons, with citation data collected daily and analyzable by platform, topic, or prompt [11].
Profound also provides ChatGPT Shopping visibility, SKU-level analysis, attribute accuracy, shopper sentiment, shopping triggers, merchant-layer analysis, and competitive targeting [13]. This is primarily a ChatGPT Shopping capability rather than verified coverage of every recommendation platform.
What the AI Platforms Agreed About
Questions This Section Answers
- What do multiple AI platforms agree that Profound does well for AI visibility tracking?
- Does Profound track citations, competitors, and changes over time across AI answer engines?
The platforms broadly agreed that Profound is a dedicated AI visibility platform rather than a general SEO tool, and that its core strength is citation- and prompt-level analysis.
OpenAI, Grok, and Perplexity all cited Profound's Answer Engine Insights platform as the relevant product for multi-engine monitoring of recommendations, mentions, citations, competitors, prompts, and changes over time [14]. DeepSeek described Profound as tracking brand appearances across ChatGPT, Gemini, Claude, Perplexity, Grok, DeepSeek, and Kimi, though that claim is platform-reported and not independently verified [18].
Multiple platforms agreed on the following capabilities:
- Citation tracking across answer engines, cited URLs, source categorization, and competitor citation comparisons [14].
- Competitor visibility rank, visibility score, citation share, share of voice, sentiment, average position, and prompt-level comparisons [15].
- Daily citation collection and historical trend analysis relevant to monitoring changes over time [14].
- Enterprise readiness including multiple companies, tailored prompt tracking, dedicated Slack support, SSO/SAML, and stated SOC 2 compliance [19].
Independent reviews also describe multi-engine monitoring, competitor citation tracking, prompt volume, and automation capabilities [20], and confirm self-serve tiers with enterprise controls such as SSO/SAML and SOC 2 with up to nine answer engines [21].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Why do AI platforms disagree about Profound's engine coverage and pricing?
- Is Profound's official website verified, and does that uncertainty affect a purchase decision?
The platforms disagreed on engine counts, pricing, and identity verification.
On engine coverage, Profound's public pricing page lists ChatGPT for Starter, three answer engines for Growth, and up to nine answer engines for Enterprise [22]. Third-party sources report broader enterprise coverage including Gemini, Claude, Copilot, Grok, and DeepSeek, but Kimi coverage was not verified [23]. Perplexity reported that some sources say 9, some 10, and some 11 answer engines at enterprise, and that the exact count varies by source and should be verified [24].
On pricing, public sources are inconsistent for mid-tier and enterprise plans. Some sources cite annual billing while others present monthly-equivalent pricing [24]. One independent review suggests an agency growth pricing structure that differs from other sources, illustrating public pricing inconsistency [30].
On identity, the supplied normalization marks profound.ai as reported but unverified, and the public product and pricing pages discovered during research use tryprofound.com [31]. Grok rated the fit as uncertain specifically because of conflicting domain information and reliance on unverified company-reported sources [32]. Kimi rated the fit as uncertain because no verifiable source confirmed Profound's specific AI visibility product, engine coverage, or pricing [33].
DeepSeek's research date was 2026-01-01, earlier than the 2026-09-19 run date, so its findings may be stale [37].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- What specific AI visibility features does Profound offer for tracking mentions, citations, and competitors?
- Can Profound track ChatGPT Shopping visibility and SKU-level product recommendations?
Profound's feature set maps closely to the study criteria: track recommendations, mentions, citations, competitors, important prompts, and changes over time.
Citation analysis covers cited URLs, source categorization, competitor citation comparisons, daily collection, citation share, and content-strategy workflows [38]. Competitive benchmarking covers visibility rank, visibility score, citation share, share of voice, sentiment, average position, prompt-level comparisons, and competitor change monitoring [39].
Prompt and trend monitoring: the public Growth tier includes 100 tracked prompts and 9,000 analyzed responses per month; Enterprise prompt volume is tailored [40]. Exact sampling, refresh, localization, and prompt-allocation methodology should be verified.
Recommendations and optimization: Profound offers content strategy, citation-gap analysis, briefs, outreach intelligence, technical insights, and Agent workflows [38]. Public evidence does not establish that recommendations automatically publish changes or guarantee improved rankings.
Shopping visibility: ChatGPT Shopping visibility, SKU-level analysis, attribute accuracy, shopper sentiment, shopping triggers, merchant-layer analysis, and competitive targeting [41]. This is especially relevant to consumer-product brands.
Enterprise readiness: multiple companies, tailored prompt tracking, dedicated Slack support, SSO/SAML, and SOC 2 compliance on the public pricing page [40]. The scope of compliance, data retention, roles, APIs, exports, and contractual SLAs is not fully disclosed there.
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Profound cost per month, and are Starter and Growth billed yearly?
- What additional fees, Agent credits, and contract terms should a buyer confirm before signing with Profound?
Public pricing lists Starter at $99 per month billed yearly, Growth at $399 per month billed yearly, and Enterprise at custom pricing [42]. Starter includes ChatGPT tracking, 50 prompts, and 100 Agent credits per month; Growth includes three answer engines, 100 prompts, and 400 Agent credits per month [42].
Independent pricing reviews report Starter and Growth pricing with yearly billing and core plan limits [43], and Starter, Growth, and Enterprise plan details including billed-yearly wording and enterprise feature set [44]. Some third-party sources also report a mid-tier Lite/Agency plan near $499/month and enterprise contracts around $2,000–$5,000+/month, but those figures are not fully consistent [45].
Additional fees: additional Agent-credit thresholds require an Enterprise package according to the pricing page [42]. Potential costs for expanded engines, prompts, workspaces, seats, integrations, API access, or services are unclear and should be quoted [42].
Contract and cancellation terms: the public page states annual billing for Starter and Growth and advertises two months free, but cancellation, refund, renewal, and downgrade terms were not verified [42]. Enterprise contract duration, implementation fees, usage commitments, overages, and service levels were not publicly specified [42].
DeepSeek reported no public pricing for any plan and no documented contract terms, which conflicts with the public pricing page discovered by other platforms [48]. Grok reported no pricing details verified in reviewed sources [49]. Kimi reported no verified pricing available [50].
Best Suited For
Questions This Section Answers
- Who is Profound best suited for among mid-market and enterprise AI visibility buyers?
- Is Profound a good fit for consumer brands that need ChatGPT Shopping and SKU-level visibility?
Profound is best suited for mid-market and enterprise companies that need detailed AI visibility measurement, citation analysis, competitor benchmarking, prompt monitoring, and reporting across major answer engines [52].
Specific buyer situations:
- Companies tracking brand mentions, citations, competitors, visibility rank, sentiment, and share of voice across multiple AI answer engines [53].
- Marketing, SEO, communications, and executive-reporting teams needing historical, prompt-level, and source-level analysis [53].
- Consumer brands needing ChatGPT Shopping visibility, product, SKU, merchant, and attribute analysis [57].
- Mid-market or enterprise teams needing SSO/SAML, API access, dedicated support, and higher engine limits [52].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Profound for AI visibility tracking?
- Is Profound a poor fit for small teams that need low-cost multi-engine coverage?
Profound is probably not best suited for small teams seeking the lowest-cost multi-engine tracker [59]. Starter is limited to ChatGPT, while Growth publicly lists only three answer engines [59].
It is also a weaker fit for buyers requiring every named engine, including Kimi, on a clearly documented self-serve plan [59]. Kimi coverage was not verified from the reviewed public sources [59].
Teams seeking a complete content execution or publishing workflow rather than primarily measurement, analysis, and recommendations should look elsewhere [62].
Buyers requiring verified official website identity and independently confirmed pricing or features should proceed cautiously given the domain conflict between profound.ai and tryprofound.com [64].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Profound for a buyer who needs transparent published pricing?
- When should a buyer choose a lower-cost specialist or broader SEO suite instead of Profound?
Choose a lower-cost specialist if the buyer needs basic alerts and simple multi-engine mention tracking rather than citation-depth and enterprise reporting [66].
Choose a platform with explicitly documented Gemini, Claude, Grok, DeepSeek, and Kimi coverage if complete named-model coverage is a hard requirement [66]. Competitors like SE Visible, Viali, Meev, Discoverable, and BeVisible explicitly list 5–8 engines [68].
Choose a broader SEO/content-execution suite if the primary need is publishing, content production, or workflow automation rather than AI visibility intelligence [72].
Consider another vendor if transparent month-to-month pricing, unlimited prompts, or predictable per-seat economics are more important than enterprise analytics depth [66].
For budget-conscious teams needing transparent $99–$189/month plans, consider SE Visible Basic/Core or BeVisible Growth [68]. For 7–8 engine coverage including Grok and DeepSeek, consider Meev or Discoverable [75].
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Profound about engine coverage and pricing before signing a contract?
- Can Profound provide a pilot using the buyer's actual prompts and competitors before purchase?
Before signing, verify:
- Which exact engines are included in the proposed tier, specifically ChatGPT, Gemini, Claude, Perplexity, Grok, DeepSeek, and Kimi [76].
- Are Google AI Overviews, Google AI Mode, and other Google surfaces counted as separate engines or included in one allowance [76].
- How many prompts, responses, brands, domains, users, regions, and languages are included in the quote [76].
- What are the sampling frequency, geographic controls, personalization controls, model/version controls, and methodology for visibility and citation metrics [76].
- Are API access, exports, SSO/SAML, SOC 2 documentation, Slack support, integrations, and historical data included or separately priced [76].
- How are Agent credits consumed, what are overage rules, and can unused credits roll over [76].
- What are the annual renewal, cancellation, refund, downgrade, implementation, SLA, data-retention, and termination terms [76].
- Which optimization recommendations are automated, and can Profound directly publish or deploy changes [78].
- For Shopping use cases, which product feeds, merchants, SKUs, regions, and checkout surfaces are supported [79].
- Can Profound provide a pilot using the buyer's actual prompts and competitors before contract signature [76].
Final AI Consensus Verdict
Profound is a good fit overall for mid-market and enterprise buyers prioritizing deep AI citation intelligence, prompt-level competitive benchmarking, historical monitoring, and reporting across major answer engines. Five of seven included platforms named it during ranking, and it finished first overall with an average listed rank of 1.2.
Do not treat it as a confirmed best fit for complete coverage of every named model, especially Kimi, until engine availability, enterprise pricing, methodology, and contract terms are verified. The platform agreement reflects consistent surfacing for this use case, not verified performance outcomes.
How This Review Was Produced
This review synthesizes fit-research responses from seven AI platforms (deepseek, google, grok, kimi, openai, perplexity, and one additional platform) against the study criteria for AI Visibility Platforms. Five of the seven included platforms returned a usable fit assessment and named Profound during ranking discovery. The research date is 2026-09-19. Platform-reported research dates differ: DeepSeek reported 2026-01-01, while grok, kimi, openai, and perplexity reported 2026-09-19.
Citations are platform-reported evidence, not independently verified facts. Company-owned citations materially outnumber independent citations in the supplied research. The supplied URLs were collected from platform responses and were not independently validated by the writer stage.
Methodology Limitations
- Five of seven included platforms returned a usable fit assessment; fit findings are not unanimous.
- Platform-reported research dates differ from the authoritative run date; DeepSeek's 2026-01-01 date may indicate stale findings.
- The official domain is unresolved: profound.ai is reported but unverified, and public product and pricing pages use tryprofound.com.
- Public pricing states up to nine Enterprise answer engines, while some third-party sources describe ten-plus engines or different engine combinations.
- Kimi support was not verified from the reviewed public sources.
- The public page does not fully specify enterprise prompt limits, refresh behavior by engine, API/export entitlements, data retention, or cancellation terms.
- Independent reviews report pricing complexity and high enterprise costs, but specific enterprise price ranges are not verified by Profound.
- Measurement depends on sampled prompts and answer-engine behavior; reported visibility is not equivalent to guaranteed traffic, conversions, or universal market coverage.
- Agent and optimization capabilities may require additional credits or enterprise packaging.
- Public claims and third-party descriptions differ on the number of engines and enterprise feature scope.
Explore more ai visibility llm monitoring guidance in the category directory.
Sources
Company-Owned Sources
- AI Visibility | Discoverable: https://bediscoverable.ai/product/ai-visibility
- AI Visibility Software for Brand Monitoring | BeVisible: https://bevisible.app/ai-visibility-software
- Visibly — AI Visibility Tracker for Brands: https://getvisibly.app/
- help.tryprofound.com: https://help.tryprofound.com/articles/3443229936-answer-engine-insights-overview
- AI Visibility Tracker: Continuous Share-of-Answer Tracking | Meev: https://meev.ai/ai-visibility-tracker
- Platform: Discover, Improve, Measure AI Visibility | Viali: https://viali.ai/product/
- Visibility Tracker — See Every AI Answer | Viali: https://viali.ai/product/visibility-tracking/
- SE Visible — An AI Visibility Tool Made to Empower Brands: https://visible.seranking.com/
- AI Search Visibility Tool for ChatGPT & Gemini | Visibly: https://visibly.so/
- AI Citation Analysis Tool for AEO: https://www.tryprofound.com/features/answer-engine-insights/citations
- AI Search Competitive Benchmarking Tool: https://www.tryprofound.com/features/answer-engine-insights/competitors
- Profound Pricing: https://www.tryprofound.com/pricing
Additional AI research evidence79 records
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record grok:c1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c4
- AI research evidence record openai:c6
- AI research evidence record openai:c1
- AI research evidence record grok:c1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c5
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record grok:c1
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c6
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c4
- AI research evidence record perplexity:c6
- AI research evidence record perplexity:c10
- AI research evidence record perplexity:c12
- AI research evidence record perplexity:c11
- AI research evidence record perplexity:c15
- AI research evidence record perplexity:c0
- AI research evidence record grok:c4
- AI research evidence record kimi:c1
- AI research evidence record kimi:c2
- AI research evidence record kimi:c5
- AI research evidence record kimi:c6
- AI research evidence record deepseek:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c1
- AI research evidence record openai:c5
- AI research evidence record openai:c1
- AI research evidence record perplexity:c11
- AI research evidence record perplexity:c4
- AI research evidence record perplexity:c10
- AI research evidence record perplexity:c12
- AI research evidence record perplexity:c15
- AI research evidence record deepseek:c1
- AI research evidence record grok:c3
- AI research evidence record kimi:c1
- AI research evidence record kimi:c6
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record openai:c5
- AI research evidence record perplexity:c6
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record kimi:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c5
- AI research evidence record grok:c4
- AI research evidence record perplexity:c0
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record kimi:c1
- AI research evidence record kimi:c2
- AI research evidence record kimi:c5
- AI research evidence record kimi:c6
- AI research evidence record openai:c2
- AI research evidence record openai:c5
- AI research evidence record perplexity:c1
- AI research evidence record kimi:c3
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c5
Independent Sources
- Profound AI Review 2026: Worth It for Agencies?: https://arvow.com/blog/profound-ai-review
- Profound Review: Features, Pricing, and Is It Worth It: https://deepsmith.ai/blog/profound-review
- Is profound answer engine insights worth it for reporting and competitor citation tracking: https://indexly.ai/blog/is-profound-answer-engine-insights-worth-it-for-answer-engine-optimization-reporting-and-competitor-citation-tracking/
- Is Profound Worth It? Pricing and What You Get in 2026: https://loudmink.ai/blog/is-profound-worth-it
- Profound Pricing Review August 2026 | Maintouch: https://maintouch.com/blogs/profound-ai-pricing
- Profound Review 2026: Features, Limits and Verdict: https://trakkr.ai/reviews/profound-review
- Profound AI Review 2026: Is It Still Worth It? - SE Visible: https://visible.seranking.com/blog/profound-review/
- Profound Review 2026: Features, Pricing, Honest Limits: https://www.get-ryze.ai/blog/profound-review-2026
- LLM visibility tools, tested and graded: https://www.llm-visibility-tools.com/
- Profound review: enterprise AI visibility tracking that reads your server logs: https://www.saasinsight.io/reviews/profound
Additional AI research evidence79 records
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record grok:c1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c4
- AI research evidence record openai:c6
- AI research evidence record openai:c1
- AI research evidence record grok:c1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c5
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record grok:c1
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c6
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c4
- AI research evidence record perplexity:c6
- AI research evidence record perplexity:c10
- AI research evidence record perplexity:c12
- AI research evidence record perplexity:c11
- AI research evidence record perplexity:c15
- AI research evidence record perplexity:c0
- AI research evidence record grok:c4
- AI research evidence record kimi:c1
- AI research evidence record kimi:c2
- AI research evidence record kimi:c5
- AI research evidence record kimi:c6
- AI research evidence record deepseek:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c1
- AI research evidence record openai:c5
- AI research evidence record openai:c1
- AI research evidence record perplexity:c11
- AI research evidence record perplexity:c4
- AI research evidence record perplexity:c10
- AI research evidence record perplexity:c12
- AI research evidence record perplexity:c15
- AI research evidence record deepseek:c1
- AI research evidence record grok:c3
- AI research evidence record kimi:c1
- AI research evidence record kimi:c6
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record openai:c5
- AI research evidence record perplexity:c6
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record kimi:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c5
- AI research evidence record grok:c4
- AI research evidence record perplexity:c0
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record kimi:c1
- AI research evidence record kimi:c2
- AI research evidence record kimi:c5
- AI research evidence record kimi:c6
- AI research evidence record openai:c2
- AI research evidence record openai:c5
- AI research evidence record perplexity:c1
- AI research evidence record kimi:c3
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c5
Other Sources
- Profound - AI Visibility Platform (inferred from reviews: https://profound.ai/
Additional AI research evidence79 records
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record grok:c1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c4
- AI research evidence record openai:c6
- AI research evidence record openai:c1
- AI research evidence record grok:c1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c5
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record grok:c1
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c6
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c4
- AI research evidence record perplexity:c6
- AI research evidence record perplexity:c10
- AI research evidence record perplexity:c12
- AI research evidence record perplexity:c11
- AI research evidence record perplexity:c15
- AI research evidence record perplexity:c0
- AI research evidence record grok:c4
- AI research evidence record kimi:c1
- AI research evidence record kimi:c2
- AI research evidence record kimi:c5
- AI research evidence record kimi:c6
- AI research evidence record deepseek:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c1
- AI research evidence record openai:c5
- AI research evidence record openai:c1
- AI research evidence record perplexity:c11
- AI research evidence record perplexity:c4
- AI research evidence record perplexity:c10
- AI research evidence record perplexity:c12
- AI research evidence record perplexity:c15
- AI research evidence record deepseek:c1
- AI research evidence record grok:c3
- AI research evidence record kimi:c1
- AI research evidence record kimi:c6
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
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- AI research evidence record openai:c1
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- AI research evidence record grok:c4
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- AI research evidence record openai:c1
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- AI research evidence record openai:c2
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- AI research evidence record kimi:c3
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c5
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
- 27
- Ranking mentions
- 5 of 7
- Platform share
- 71%
- Final consensus rank
- #1
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
11 independent · 15 company-owned · 1 unclear
Evidence support
20 direct · 6 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 a325756d0c6901918d70728cf4f2adc9a258c4c9e3524880c97783bd55405358