Answer Capsule
Profound is a good fit for companies that need to monitor and improve visibility in ChatGPT responses, provided they can commit to annual billing and accept that multi-engine coverage starts at the Growth tier. Five of the seven platforms in this study named Profound during ranking discovery, and it finished first overall with an average listed rank of 2.4. Its strongest advantage is a purpose-built AEO workflow that combines ChatGPT prompt tracking, citation and competitor analysis, and content optimization agents. The main limitation is cost and gating: Starter is ChatGPT-only at $99/month, Growth is $399/month, and Claude, Gemini, and Copilot tracking require a custom Enterprise quote.
Research Snapshot
| Field | Detail |
|---|---|
| Platform mentions in ranking stage | 5 of 7 platforms named Profound (deepseek, google, grok, openai, perplexity) |
| Share of included platform responses | 71.4% |
| Average listed rank | 2.4 |
| Best listed rank | 1 (deepseek, google, grok) |
| Relevant product/model/plan | Growth plan for AEO content workflows; Starter for ChatGPT-only monitoring; Enterprise/Custom for broader engine coverage |
| Overall use-case fit | Good |
| Research date | 2026-09-19 |
Why Profound Qualified for This Study
Questions This Section Answers
- Is Profound a good choice for Content Optimization Tools for ChatGPT Visibility?
- How many AI platforms recommended Profound for ChatGPT visibility in this study?
Profound qualified because it is a purpose-built answer engine optimization platform rather than a general SEO suite with AI features bolted on. Five of the seven platforms in this study named it during ranking discovery, and three of those — deepseek, google, and grok — placed it first [1]. Independent coverage describes Profound as specializing in AI visibility marketing rather than retrofitting it onto a broader platform [4], and one review calls it the most established name in the category with a genuine enterprise customer base [5].
The platform's stated function matches the study criteria directly: it runs structured prompts across AI platforms and analyzes brand appearance, citations, sentiment, ranking, and competitive presence [6]. It also publishes research on cited versus ignored webpages and the usefulness of structured tables for machine parsing [7].
Qualification was not unanimous in substance. Kimi rated the fit uncertain because its only retrieved source was a competitor comparison page and the official website could not be retrieved during that run [8]. That rating is preserved in this review rather than averaged away.
The Product, Model, Plan, or Service Most Relevant to Content Optimization Tools for ChatGPT Visibility
Questions This Section Answers
- Which Profound plan is the best starting point for a buyer who needs ChatGPT visibility monitoring plus content optimization?
- Is Profound's Starter plan enough for a team that needs multi-engine AI visibility tracking?
The Growth plan is the most relevant self-serve option for this use case. It is priced at $399/month billed yearly and covers three answer engines — ChatGPT, Perplexity, and Google AI Overviews — with 100 tracked prompts and 400 Agent credits per month [9]. Independent reviews consistently repeat those figures [12].
Starter is $99/month billed yearly and tracks ChatGPT only, with 50 prompts and 100 Agent credits [9]. Multiple independent sources describe Starter as an entry stepping-stone rather than a standalone product, and one notes it lacks data exports [16]. Enterprise is custom-priced and is where Claude, Gemini, Copilot, and broader engine coverage sit [17].
The content optimization capability itself is the Content Optimization workflow, which accepts URLs, direct text, and file uploads and returns structural recommendations intended to improve Answer Engine visibility [20]. Profound Agents extend this into content research, AEO content creation, optimization, competitive analysis, and CMS publishing, with native integrations for WordPress, Sanity, and Slack [21].
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Profound does well for ChatGPT visibility?
- Does Profound combine visibility monitoring with content optimization in one platform?
The clearest agreement is that Profound is a dedicated AEO platform with ChatGPT tracking at its core. OpenAI, Anthropic, Google, Grok, Perplexity, and DeepSeek all describe monitoring of brand appearance in AI answers as a primary function [23].
A second area of agreement is that Profound connects measurement to content action rather than stopping at dashboards. OpenAI notes that Growth connects visibility monitoring with content-generation and optimization agents [23]. Anthropic describes Agents as no-code workflow automation that produces AEO-optimized briefs and drafts [29]. Google describes "Actions" and "Agents" as generating content briefs structured for extraction, chunking, and citation [31]. Grok describes agents that rewrite pages, add structure such as FAQs and tables, and stage content in the CMS [32].
A third point of agreement is citation and competitor analysis. Profound tracks citations, sentiment, ranking, and competitive presence [23]. Independent testing reported useful workflows around citations, platform matrices, prompt analysis, and query fanouts [33].
Agreement among AI platforms is not evidence of product quality. It reflects how these systems characterized the vendor from available material, much of it company-owned.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Do AI platforms disagree about which AI engines Profound tracks on each plan?
- Is there independent proof that Profound improves ChatGPT citations or business results?
Engine coverage by tier is the largest unresolved conflict. OpenAI states Growth covers three answer engines [34]. Anthropic reports Growth covers ChatGPT, Perplexity, and Google AI Overviews, with Claude, Gemini, and Copilot behind Enterprise [35]. Google reports that as of late 2026 the Starter tier now covers three engines rather than ChatGPT alone [38], which conflicts with the official pricing page and with multiple independent reviews stating Starter is ChatGPT-only [34]. This review does not resolve that conflict; buyers should confirm current Starter coverage in writing.
Enterprise pricing is also unresolved. Anthropic cites third-party analysis putting typical enterprise deployments at $2,000–$5,000+/month [41]. Google cites independent estimates of entry-level enterprise pricing around $1,000/month [42]. Neither figure is published by Profound.
Measurement reliability is a shared uncertainty. Independent commentary questions the accuracy and standardization of AI-visibility scores and cautions against treating them as fully reliable business metrics [43]. No independently audited benchmark was found showing that Profound causes higher ChatGPT visibility or business performance [34]. One directory source reports a marketing professional claiming a 2x visibility increase within one week, but that claim is marked as inferred rather than verified [45].
Kimi's uncertainty is the most extreme position in the study: it found no primary-source confirmation of Profound's ChatGPT-specific capabilities and rated fit uncertain [46]. That run also failed to retrieve the official website, which is a retrieval limitation rather than a finding about the product.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does Profound identify relevant questions and topical gaps for ChatGPT visibility?
- Can Profound analyze competing content and citations inside ChatGPT answers?
Profound's question-discovery capability rests on Prompt Volumes, which draws on real user query data rather than synthetic prompts. One independent review describes it as Profound's most distinctive offer and essentially AI-era keyword research, with demographic breakdowns from opted-in consumers [47]. Grok reports Prompt Volumes drawing on 1.5B+ conversations [49]. The platform also provides recommended industry prompt sets that buyers can edit, disable, or add to [50].
Topical coverage and content optimization run through the Content Optimization workflow, which accepts URLs, direct text, and file uploads and returns structural recommendations [51]. Profound's own research examined frequently cited versus ignored webpages and found structured tables useful for machine parsing [52]. Grok reports the feature benchmarks against competitors, assigns AEO scores, identifies gaps, and generates optimized content and FAQs based on real prompts [53].
Competing content analysis is handled through citation tracking, share-of-voice metrics, and competitive benchmarking across engines [54]. Conversation Explorer allows drilling into how specific prompts trigger responses and where competitors appear [55]. Google describes Answer Engine Insights and Conversation Explorer as generating content briefs from observed answer patterns [56].
Two capability gaps are documented. Profound lacks native Reddit intelligence [57], and no explicit schema markup validation, HTML readability analysis, or crawlability audit tooling is documented in public materials [55]. Agent Analytics does track AI crawler behavior on pages [58], which is adjacent but not the same as structural content auditing.
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Profound cost per month, and is annual billing required?
- What extra fees should a buyer expect beyond the Profound Growth plan price?
Profound publishes two self-serve tiers and a custom Enterprise tier. Starter is $99/month billed yearly ($1,188 annually) with ChatGPT-only tracking, 50 prompts, and 100 Agent credits [59]. Growth is $399/month billed yearly ($4,788 annually) with three engines, 100 prompts, and 400 Agent credits [59]. Annual billing is presented as including two months free [59].
Annual billing is the only self-serve option. Multiple independent sources state there is no monthly plan [63]. One source reports a 7-day free trial for Growth [65], while another reports no free tier and no Starter trial [59]. Trial length and eligibility should be confirmed before purchase.
Additional costs are documented but incompletely. Agent usage is credit-based, and the official pricing page states that additional credit thresholds require an Enterprise package (official:C2). Agency client workspaces are reported at $399/month each, with pitch workspaces at $10/month beyond the included ten and trial workspaces at $199/month each [66]. One independent review reports a one-workspace limit on self-serve plans, which blocks multi-client agency use [68].
Seat limits are reported as 1 seat on Starter and 3 seats on Growth [69]. Cancellation, refund, and renewal terms are not clearly published in the reviewed official material [59]. One independent review reports slow dashboard loads of 10–15 seconds and billing freezes, with no official response found [71].
Best Suited For
Questions This Section Answers
- Who gets the most value from Profound for ChatGPT visibility work?
- Is Profound worth it for a mid-market team with a dedicated AEO budget?
Profound fits marketing and content teams that need recurring visibility measurement for branded and nonbranded prompts, and that want to translate citation and competitor findings into content changes [72]. It fits organizations willing to pay for a dedicated AEO workflow rather than adding AI visibility features to an existing SEO suite [72].
It also fits teams that prioritize prompt intelligence sourced from real user conversations rather than synthetic queries [73], and agencies managing multiple client AI visibility accounts through consolidated dashboards and client workspaces [74]. Enterprise buyers needing SOC 2 Type II, SSO, and RBAC are directed to the Enterprise tier, where those controls are documented [75].
The practical threshold is budget and staffing. Growth at $399/month is the realistic entry point for multi-engine work, and the platform rewards teams with a dedicated AEO owner and weekly action capacity [76].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Profound for ChatGPT visibility?
- Is Profound a poor fit for buyers who need Claude or Gemini tracking on a self-serve plan?
Profound is a weak fit for buyers who need only inexpensive ChatGPT monitoring, since Starter is limited to 50 prompts and lacks exports [78]. It is a weak fit for teams that require comprehensive coverage of Claude, Copilot, Gemini, Meta AI, or other engines without an enterprise conversation, because those engines sit behind custom pricing [79].
It is also a weak fit for organizations that need independently validated ROI, traffic attribution, or a generally accepted AI-visibility measurement standard, because no such validation was found in the reviewed sources [82]. Buyers needing native Reddit intelligence should look elsewhere [84], and buyers who need schema validation or crawlability auditing will not find it documented here [85].
Budget-constrained buyers face a structural mismatch: annual-only billing requires $1,188–$4,788 upfront, and one independent analysis places the Growth tier above the roughly $337/month median for 30+ AEO tools [86].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Profound for a buyer who needs AI visibility inside a broader SEO platform?
- When is a lower-cost AI visibility monitor a better choice than Profound?
A broader SEO suite with AI visibility add-ons may be better when the buyer primarily needs keyword research, backlinks, content briefs, and traditional SEO in one platform. TechRadar describes Semrush as offering AI visibility tracking within a broader SEO product [88].
A lower-cost specialist monitor may be better when the requirement is basic multi-engine tracking without Profound's content-agent workflow or enterprise integrations [89]. Independent sources name Otterly, Trakkr, Athena HQ, Peec AI, Rank++, FogTrail, and optiseo as lower-entry or more transparently priced alternatives [90]. One source notes Profound lacks native Reddit intelligence while Reddit drives a substantial share of citations in some engines [92].
A custom enterprise evaluation is warranted when the buyer needs many models, large prompt volumes, multiple brands, SSO/SAML, dedicated support, or formal security and procurement documentation [89]. Buyers who need programmatic API access must commit to Enterprise, since API access is not documented on self-serve tiers [94].
Questions to Verify Before Buying
Which exact answer engines, ChatGPT surfaces, model versions, regions, languages, and retrieval modes are included in the selected plan [95]?
Are prompts run daily, and can the buyer export raw responses, citations, prompt history, and competitor comparisons [95]?
What are the included seats, brands, domains, workspaces, prompt limits, and historical-retention period [97]?
What is the current Growth trial duration, and is Starter available without an annual commitment [95]?
What are the overage rates or pause behavior for excess prompts and Agent credits [95]?
Are Content Optimization and Agents included in the quoted plan, and what exact monthly usage limits apply [95]?
Is API access available, and are integrations included or separately priced [100]?
What security documentation, data-processing terms, SSO/SAML support, and SOC 2 scope apply to the selected plan [101]?
How does Profound distinguish observed visibility from estimated visibility, and what methodology normalizes volatile AI responses [95]?
Can Profound provide customer evidence or a controlled pilot demonstrating improvement in ChatGPT citations or recommendation presence [95]?
Final AI Consensus Verdict
Profound is a good fit for companies that specifically need to monitor and improve ChatGPT visibility, and it is the strongest single-category match in this study by ranking position. Five of seven platforms named it, three placed it first, and its average listed rank of 2.4 is the best in the set. The Growth plan is the practical starting point for an AEO workflow; Starter is appropriate only for narrow ChatGPT monitoring.
The verdict carries real caveats. Multi-engine coverage beyond ChatGPT, Perplexity, and Google AI Overviews requires a custom Enterprise quote with no published price. Annual billing is mandatory on self-serve plans. No independently audited benchmark shows that Profound causes higher ChatGPT visibility or business performance, and independent commentary questions whether AI-visibility scores are reliable business metrics at all. Buyers should confirm plan limits, engine coverage, trial terms, and total cost in writing before committing.
How This Review Was Produced
This review synthesizes fit assessments submitted by seven AI platforms for the query: which content optimization tools would you recommend for improving ChatGPT visibility, and why. Each platform evaluated Profound against the same use case and returned a fit rating, strengths, limitations, pricing details, and verification questions. Five platforms named Profound during ranking discovery; all seven evaluated its fit. Ratings ranged from strong (google, grok) to good (openai, anthropic, deepseek, perplexity) to uncertain (kimi). This article evaluates Profound only for the ChatGPT visibility use case and is not a general company review. For the full category comparison, see the Content Optimization Tools for ChatGPT Visibility consensus index, and browse the broader ai seo content optimization directory.
Methodology Limitations
Platform-reported research dates differ from the authoritative run date of 2026-09-19. DeepSeek's research date is 2026-02-14, roughly seven months earlier, and its run had search disabled, so its findings may be stale [104]. Platform-reported dates are provenance metadata and do not independently prove freshness.
All included platforms evaluated fit, but the platform-mentions count reflects only platforms that named Profound during ranking discovery. The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Citations are platform-reported evidence, not independently verified facts.
Official-site retrieval failed during at least one platform run, and no failed fetch was used as a verified domain key. Company-name variants were collapsed onto one canonical brand before minimum-mentions qualification. Where sources conflict on pricing, engine coverage, or plan contents, this review describes the conflict rather than resolving it. No independently audited benchmark of Profound's measurement accuracy or business impact was located in the reviewed material.
Explore more ai seo content optimization guidance in the category directory.
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Additional AI research evidence104 records
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- AI research evidence record google:1.1.1
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- AI research evidence record anthropic:12-3
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- AI research evidence record openai:c1
- AI research evidence record openai:c3
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- AI research evidence record openai:c1
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- AI research evidence record anthropic:25-11
- AI research evidence record anthropic:10-8
- AI research evidence record anthropic:22-1
- AI research evidence record anthropic:26-2
- AI research evidence record anthropic:26-1
- AI research evidence record anthropic:16-1
- AI research evidence record anthropic:25-12
- AI research evidence record anthropic:25-13
- AI research evidence record anthropic:26-9
- AI research evidence record openai:c2
- AI research evidence record anthropic:15-5
- AI research evidence record anthropic:28-9
- AI research evidence record openai:c1
- AI research evidence record anthropic:33-1
- AI research evidence record google:1.1.2
- AI research evidence record grok:web:12
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:15-4
- AI research evidence record anthropic:15-5
- AI research evidence record google:1.3.3
- AI research evidence record grok:web:1
- AI research evidence record openai:c4
- AI research evidence record openai:c1
- AI research evidence record anthropic:25-11
- AI research evidence record anthropic:25-13
- AI research evidence record anthropic:25-15
- AI research evidence record google:1.4.4
- AI research evidence record anthropic:26-1
- AI research evidence record anthropic:22-3
- AI research evidence record anthropic:14-1
- AI research evidence record google:1.2.2
- AI research evidence record openai:c5
- AI research evidence record deepseek:c2
- AI research evidence record anthropic:35-6
- AI research evidence record kimi:optiseo-2026-04
- AI research evidence record anthropic:29-13
- AI research evidence record anthropic:29-14
- AI research evidence record grok:web:3
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record grok:web:1
- AI research evidence record anthropic:12-2
- AI research evidence record anthropic:18-1
- AI research evidence record google:1.3.3
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- AI research evidence record google:1.1.3
- AI research evidence record openai:c1
- AI research evidence record anthropic:23-11
- AI research evidence record anthropic:26-1
- AI research evidence record anthropic:26-2
- AI research evidence record anthropic:23-1
- AI research evidence record anthropic:26-3
- AI research evidence record google:1.4.3
- AI research evidence record anthropic:21-1
- AI research evidence record anthropic:23-13
- AI research evidence record anthropic:22-12
- AI research evidence record google:1.4.2
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- AI research evidence record openai:c1
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- AI research evidence record anthropic:21-1
- AI research evidence record anthropic:13-5
- AI research evidence record anthropic:16-1
- AI research evidence record anthropic:25-14
- AI research evidence record anthropic:26-1
- AI research evidence record anthropic:25-13
- AI research evidence record anthropic:25-15
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- AI research evidence record openai:c5
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- AI research evidence record anthropic:18-1
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- AI research evidence record anthropic:22-8
- AI research evidence record openai:c7
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
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- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:13-5
- AI research evidence record anthropic:19-3
- AI research evidence record openai:c1
- AI research evidence record anthropic:26-1
- AI research evidence record google:1.4.2
- AI research evidence record google:1.4.3
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- AI research evidence record anthropic:33-1
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- Profound AI: Monitoring Brand Citations Across ChatGPT, Perplexity, Gemini, and Claude: https://www.searchforged.com/aeo-encyclopedia/tools/profound-ai-tool
- Best AEO Tools for AI Visibility (2026 Complete Guide: https://www.stackmatix.com/blog/aeo-tools-complete-guide
- Semrush SEO tools review: https://www.techradar.com/reviews/semrush
- Profound Review (2026): Is It Worth It for Enterprise AEO? | Vismore: https://www.vismore.ai/blog/profound-review
- Profound AI Pricing (Worth the Investment for GEO in 2026?: https://www.workduo.ai/blog/profound-ai-pricing
Additional AI research evidence104 records
- AI research evidence record deepseek:c1
- AI research evidence record google:1.1.1
- AI research evidence record grok:web:12
- AI research evidence record anthropic:12-3
- AI research evidence record anthropic:25-4
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record kimi:optiseo-2026-04
- AI research evidence record openai:c1
- AI research evidence record anthropic:19-3
- AI research evidence record anthropic:25-11
- AI research evidence record anthropic:10-8
- AI research evidence record anthropic:22-1
- AI research evidence record anthropic:26-2
- AI research evidence record anthropic:26-1
- AI research evidence record anthropic:16-1
- AI research evidence record anthropic:25-12
- AI research evidence record anthropic:25-13
- AI research evidence record anthropic:26-9
- AI research evidence record openai:c2
- AI research evidence record anthropic:15-5
- AI research evidence record anthropic:28-9
- AI research evidence record openai:c1
- AI research evidence record anthropic:33-1
- AI research evidence record google:1.1.2
- AI research evidence record grok:web:12
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:15-4
- AI research evidence record anthropic:15-5
- AI research evidence record google:1.3.3
- AI research evidence record grok:web:1
- AI research evidence record openai:c4
- AI research evidence record openai:c1
- AI research evidence record anthropic:25-11
- AI research evidence record anthropic:25-13
- AI research evidence record anthropic:25-15
- AI research evidence record google:1.4.4
- AI research evidence record anthropic:26-1
- AI research evidence record anthropic:22-3
- AI research evidence record anthropic:14-1
- AI research evidence record google:1.2.2
- AI research evidence record openai:c5
- AI research evidence record deepseek:c2
- AI research evidence record anthropic:35-6
- AI research evidence record kimi:optiseo-2026-04
- AI research evidence record anthropic:29-13
- AI research evidence record anthropic:29-14
- AI research evidence record grok:web:3
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record grok:web:1
- AI research evidence record anthropic:12-2
- AI research evidence record anthropic:18-1
- AI research evidence record google:1.3.3
- AI research evidence record anthropic:29-1
- AI research evidence record google:1.1.3
- AI research evidence record openai:c1
- AI research evidence record anthropic:23-11
- AI research evidence record anthropic:26-1
- AI research evidence record anthropic:26-2
- AI research evidence record anthropic:23-1
- AI research evidence record anthropic:26-3
- AI research evidence record google:1.4.3
- AI research evidence record anthropic:21-1
- AI research evidence record anthropic:23-13
- AI research evidence record anthropic:22-12
- AI research evidence record google:1.4.2
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:22-11
- AI research evidence record openai:c1
- AI research evidence record anthropic:29-14
- AI research evidence record anthropic:21-1
- AI research evidence record anthropic:13-5
- AI research evidence record anthropic:16-1
- AI research evidence record anthropic:25-14
- AI research evidence record anthropic:26-1
- AI research evidence record anthropic:25-13
- AI research evidence record anthropic:25-15
- AI research evidence record anthropic:26-9
- AI research evidence record openai:c1
- AI research evidence record openai:c5
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:18-1
- AI research evidence record anthropic:23-11
- AI research evidence record anthropic:22-8
- AI research evidence record openai:c7
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record kimi:optiseo-2026-04
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:13-5
- AI research evidence record anthropic:19-3
- AI research evidence record openai:c1
- AI research evidence record anthropic:26-1
- AI research evidence record google:1.4.2
- AI research evidence record google:1.4.3
- AI research evidence record anthropic:15-5
- AI research evidence record anthropic:19-3
- AI research evidence record anthropic:13-5
- AI research evidence record anthropic:33-1
- AI research evidence record anthropic:35-6
- 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 19, 2026
- Platforms analyzed
- 7
- Source records
- 47
- 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
33 independent · 14 company-owned
Evidence support
38 direct · 9 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 dd930432b2843dac164e46c0c0b71a9fadaae5ed7c9dfe860ce0cdc39894f4f0