Answer Capsule
Seerly is a good fit for publishers and review websites that need prompt-level AI citation monitoring, cited URL and domain analysis, source-gap detection, and competitor benchmarking, with content workflow follow-through. Two of seven platforms named Seerly during the ranking stage (anthropic, kimi), and five of seven rated it a good fit. The strongest reason to consider it is the Citations module's combination of exact cited URLs, source-type segmentation, and gap-to-draft workflow at $99–$399 per month per domain. The main limitation is that nearly all evidence is company-owned, with no independent validation of citation accuracy, historical retention depth, or recommendation impact.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 2 of 7 platforms (anthropic, kimi) |
| Share of included platform responses | 28.6% |
| Average listed rank | 7.5 |
| Best listed rank | 7 (anthropic) |
| Relevant product/model/plan | Seerly Platform – Citations Module |
| Overall use-case fit | Good (5 platforms); Uncertain (2 platforms) — 7 platforms analyzed |
| Research date | 2026-09-17 |
Why Seerly Qualified for This Study
Questions This Section Answers
- Is Seerly a good choice for AI citation intelligence for publishers and review websites?
- Why did only two of seven AI platforms name Seerly during the ranking stage?
Seerly qualified because its Citations module maps directly to the study's evaluation criteria: prompt-level citation data, cited URL and domain analysis, source-gap analysis, competitor benchmarking, and historical tracking [1]. Five of seven platforms rated Seerly a good fit for publishers and review websites; two rated it uncertain (deepseek, kimi).
The ranking-stage mention count is low relative to the fit ratings. Only anthropic and kimi named Seerly during ranking discovery, at ranks 7 and 8 respectively. The other five platforms evaluated Seerly's fit but did not surface it in their ranked recommendations. This gap between fit rating and ranking visibility is a material signal for buyers comparing Seerly against more frequently named alternatives.
Seerly is an AI search visibility platform that tracks brand visibility across ChatGPT, Google AI Overview, and Perplexity AI [4]. It was founded in 2025 by Sumeet Chawla, Udit Khandelwal, and Rakesh Menon under K4 Minds Technologies LLP, based in India [5]. The platform runs a complete analysis in three to five minutes with no setup, tracking code, or data connection required [6].
The Product, Model, Plan, or Service Most Relevant to AI Citation Intelligence Platforms for Publishers and Review Websites
Questions This Section Answers
- Which Seerly plan should a publisher choose for prompt-level citation tracking across multiple AI engines?
- Does Seerly's Citations module provide exact cited URLs and source-type analysis for review websites?
The relevant offering is the Seerly Platform – Citations Module, a component within Seerly's broader AI search visibility platform. The module reports total citations, top citing domains, unique domains, source-type distribution, domain-level influence, and exact cited URLs [7]. Documentation describes browsing sources, recent citations, referring sources, and answer-level records [8].
The module segments sources by marketplace, reference, news, forum, and product sources [9], and tracks ownership mix across third-party, owned, and reference ecosystems [10]. It ranks domains by citation contribution and influence score in one view [11] and compares how much each AI platform contributes to citations from a given domain [12].
Plan-level differences matter for publishers. Basic covers one selected engine (Google AI Overview or ChatGPT) with 25 prompts per month. Pro covers ChatGPT, Perplexity, and Google AI Overview with up to 100 prompts per month [13]. Enterprise can include Claude, Gemini, and additional engines under custom scope [13]. One platform reported that Seerly covers ChatGPT, Perplexity, Google AI Overviews, Claude, and Gemini with no per-engine add-ons [15], which conflicts with the standard-plan engine limits described elsewhere; buyers should confirm engine coverage for the exact contract.
What the AI Platforms Agreed About
Questions This Section Answers
- What do multiple AI platforms agree Seerly does well for publisher citation intelligence?
- Is Seerly's source-gap analysis useful for review websites trying to win AI citations?
Platforms broadly agreed on Seerly's core citation capabilities. Five of seven rated it a good fit (openai, anthropic, google, grok, perplexity); two rated it uncertain (deepseek, kimi).
Agreement centered on these findings:
- Cited URL and domain analysis. The Citations module reports exact cited URLs, top citing domains, source-type distribution, and domain-level influence [16].
- Source-gap analysis. Seerly identifies prompts where competitors are cited and the buyer is not, converting those gaps into content actions [16].
- Competitor benchmarking. Competitor analysis is listed in standard plans, with unlimited competitor tracking reported on the pricing page [21].
- Workflow follow-through. Seerly converts visibility gaps into comparison pages, FAQs, and citation-ready content, with drafts placed in an approval queue rather than published autonomously [23].
- No-code setup. The platform analyzes public web pages and public AI-engine responses and does not require private analytics, CMS, or login-protected data [24].
These are company-reported capabilities. No independent source in the supplied research validates citation detection accuracy or publisher outcomes.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Why did some AI platforms rate Seerly uncertain for publisher citation intelligence?
- Does Seerly provide a formal citation architecture map for publishers?
The two uncertain ratings came from deepseek and kimi, both of which reported that Seerly's official website was not retrievable during their research. Deepseek stated that no verifiable documentation of prompt-level citation data, cited URL analysis, or citation architecture mapping was found, and that pricing and terms were entirely undocumented in accessible sources [25]. Kimi reported that the domain resolves but no browseable product information was retrieved, and that no independent reviews or directory listings mention Seerly in the AI citation intelligence category [26].
This is a retrieval failure, not a capability finding. The other five platforms retrieved Seerly's public pages and documented specific features. Buyers should treat the uncertain ratings as evidence of inconsistent public discoverability rather than evidence that the features do not exist.
Platforms also disagreed or stayed uncertain on several substantive points:
- Citation architecture mapping. Openai and perplexity both assessed this as unclear. Seerly provides source-type and domain-distribution views, but public documentation does not clearly establish a graph-style map showing relationships among prompts, pages, domains, competitors, and source roles [27].
- Historical tracking depth. Seerly reports newly discovered citations after each run and separates new from previously tracked citations, but public materials do not state retention length, export options, or whether records survive plan changes [27].
- Recommendation impact. Seerly connects citation gaps to generated content with before-and-after reruns, but does not publicly provide independently verified evidence that recommendations causally increase citations or revenue [27].
- Engine coverage. Standard plans cover one engine on Basic and three on Pro; Claude and Gemini require Enterprise scope [31]. One platform reported broader standard coverage [33], creating a conflict buyers must resolve with the vendor.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does Seerly track citation correctness and attribution accuracy for publisher content?
- Can Seerly connect citation gaps to content briefs and editorial approval workflows?
Seerly's publisher-relevant capabilities cluster into measurement, analysis, and workflow.
Measurement. Each tracked prompt is rerun on the plan schedule, and citation records include the exact URLs and prompts associated with citations [34]. Basic re-runs analysis twice a week, Pro runs twice as often as Basic, and Enterprise frequency is custom [35]. Each prompt tracks visibility, citations, sentiment, ranking position, and competitive presence across engines [36].
Attribution correctness. Seerly tracks citation correctness as a first-class metric, including whether citations point to correct URLs, support correct claims, and use current information, with automated checks and sampling workflows [37]. The platform also tracks whether cited pages are current [40].
Source analysis. The module reports source diversity, concentration, and source-type mix, and flags domain over-reliance [34]. It identifies which domain clusters help or limit citation reach [42].
Gap-to-content workflow. Seerly analyzes competitor content structure and topics that drive AI citations, identifies untapped opportunities by topic, and generates data-driven content calendars based on visibility gaps [43]. Pro includes WordPress and Webflow publishing, with generated drafts placed in an approval queue [46].
Agents. Seerly describes agents that monitor AI engines, detect gaps, diagnose changes, and draft fixes for approval [48].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Seerly cost per month for a publisher tracking citations across multiple AI engines?
- Are there setup fees, overage charges, or cancellation penalties on Seerly plans?
Public US pricing lists Basic at $99 per month per domain and Pro at $399 per month per domain with five seats included. Enterprise pricing is custom [49]. Seerly Managed starts at $599 per month with a stated 3-month minimum and is an additional managed-service option rather than the core Citations module [49].
| Plan | Price | Engines | Prompts | Notes |
|---|---|---|---|---|
| Basic | $99/mo per domain | 1 | 25/mo | Seats $10/seat/mo; 800-page audit |
| Pro | $399/mo per domain | 3 | Up to 100/mo | 5 seats included; content agents |
| Enterprise | Custom | Custom | Custom | Claude, Gemini, API access, multi-brand |
| Seerly Managed | From $599/mo | Add-on | Add-on | 3-month minimum; dedicated strategist |
Terms and fees to verify:
- Trial and guarantee. Seerly states a 7-day free trial, cancel-anytime terms, and a 30-day money-back guarantee [49].
- Billing cadence. Annual billing is offered at a discount versus monthly; on annual billing, access continues to the end of the billing cycle after cancellation (official:C2).
- Overage charges. The public pricing page does not clearly identify overage charges for prompts, content credits, domains, or engine usage [49]. Seerly states it notifies users as they approach the monthly prompt limit and that tracking is never cut off silently (official:C2).
- Content credits conflict. One pricing source reports 250 content credits per month on Basic, while a directory listing reports 100 per month [51]. This discrepancy is unresolved in the supplied evidence.
- Taxes and currency. All fees are exclusive of applicable taxes, levies, or duties, which are the buyer's responsibility (official:C3). US dollar pricing is publicly shown, but currency, taxes, billing cadence, overages, and multi-domain discounts should be confirmed in the commercial proposal [49].
- Auto-renewal and refunds. Subscriptions automatically renew unless cancelled before the renewal date, and no refunds are provided for partial billing periods or unused service time (official:C3).
- Price changes. Seerly reserves the right to modify pricing, with changes for existing subscribers taking effect at the start of the next billing cycle following roughly 30 days' notice (official:C3).
- Governing law. Terms are governed by the laws of India, with exclusive jurisdiction in Indian courts (official:C3).
Best Suited For
Questions This Section Answers
- Is Seerly worth it for a single-domain publisher tracking citations on ChatGPT and Google AI Overview?
- Which publisher teams get the most value from Seerly's Citations module?
Seerly is best suited for:
- Publishers and review sites monitoring which pages and external domains are cited in ChatGPT, Perplexity, and Google AI Overview [53].
- Teams that want citation-gap findings connected to content briefs, approvals, and optional publishing workflows [55].
- Mid-market publishers wanting both citation tracking and automated content drafting in one platform [57].
- Organizations comfortable with recurring prompt-based measurement and plan limits [53].
- Teams tracking citation freshness, source diversity, and ownership concentration risk [58].
- Content teams optimizing for citation visibility across ChatGPT, Perplexity, Google AI Overview, Claude, and Gemini [60].
The strongest fit is a single-domain or modest multi-site team using Basic or Pro [53].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Seerly for publisher AI citation intelligence?
- Is Seerly suitable for large publisher groups needing multiple brands and custom prompt volumes?
Seerly is probably not best suited for:
- Buyers requiring a fully documented historical data-retention policy or independently audited citation accuracy [61].
- Large publisher groups needing multiple brands, custom prompt volumes, custom frequencies, and integrations without an Enterprise agreement [61].
- Teams needing broad coverage of Claude, Gemini, and other engines on standard plans [61].
- Review sites focused on source eligibility verification and editorial authority rating without brand optimization intent [62].
- Publishers requiring traditional domain authority metrics such as Moz DA, Ahrefs DR, or Semrush Authority Score [62].
- Organizations needing real-time fact-checking or accuracy verification of cited claims beyond attribution correctness [62].
- Small publishers or review sites with minimal budgets, since entry-level pricing starts at $99 per month [62].
- Enterprise publishers requiring massive prompt-level tracking volumes in the thousands of queries daily [64].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Seerly for a publisher that needs article-level citation tracking?
- When should a publisher choose a cheaper citation monitoring tool over Seerly?
Platforms named several alternatives with different strengths:
- Article-level publisher tracking. SEORCE provides article-level citation tracking, author entity tools, and schema AutoFix for publishers [65].
- Citation readiness scoring. CitationDesk provides Citation Readiness Score audits for publishers to fix structural format issues [66].
- Lower entry pricing. Citingly offers multi-engine coverage, competitor benchmarking, and tiered pricing from $49 per month [67]. Otterly.AI offers citation monitoring starting at $29 per month [68].
- Broader engine coverage. Citany offers brand visibility monitoring across 8 AI engines with tiered pricing including a free audit [69].
- Integrated SEO and GEO workflows. Georion helps publishers measure AI visibility, improve citation readiness, and monitor competitors [70].
- Monitoring without content recommendations. Otterly acts as a simpler monitoring layer, while Seerly bundles monitoring, content analysis, and drafting [68].
- Traditional domain authority. Semrush offers integrated Authority Score with AI tracking [71].
- Enterprise scale. Profound is described as stronger for massive scale prompt-volume intelligence and agent analytics [72].
Questions to Verify Before Buying
Questions This Section Answers
-
What should a publisher confirm with Seerly before signing a contract?
-
How can a buyer verify Seerly's citation accuracy and data retention terms?
-
Which exact engines and regional variants are included in the proposed plan, including Claude, Gemini, and Google AI Overview coverage? [73]
-
Are raw prompts, full AI responses, cited URLs, timestamps, and citation positions exportable through CSV, API, or another integration? [73]
-
How long are historical citation records retained, and are they preserved after cancellation or plan changes? [73]
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How are citation influence scores, source types, duplicate URLs, redirects, syndicated content, and inaccessible pages classified? [73]
-
Can the platform map citation relationships from prompt to answer to URL to domain to competitor in a graph or structured export? [73]
-
What are the prompt, domain, project, seat, content-credit, and engine overage charges? [73]
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Are WordPress and Webflow publishing integrations available on the exact contract, and what editorial permissions and audit logs are provided? [73]
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What independent accuracy testing or customer-validated evidence supports citation detection and recommendation impact? [73]
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Can multiple publisher properties, subdomains, languages, and categories be managed under one account? [73]
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What service levels, data-processing terms, security documentation, and support response times apply to the selected plan? [73]
Final AI Consensus Verdict
Seerly is a good fit for publishers and review websites needing prompt-level AI citation monitoring, cited URL and domain analysis, source-gap detection, competitor benchmarking, and content workflow follow-through. Five of seven platforms rated it good; two rated it uncertain because they could not retrieve Seerly's public pages.
The strongest case for Seerly is the Citations module's combination of exact cited URLs, source-type segmentation, attribution correctness tracking, and gap-to-draft workflow at $99–$399 per month per domain. The main limitation is evidentiary: nearly all supporting material is company-owned, with no independent validation of citation accuracy, historical retention depth, or recommendation impact. Enterprise buyers should verify historical retention, exports, citation-architecture depth, engine scope, measurement validity, and total multi-domain cost before purchase.
How This Review Was Produced
This review synthesizes fit-research responses from seven AI platforms (openai, anthropic, google, grok, perplexity, kimi, deepseek) collected for the study date 2026-09-17. Each platform evaluated Seerly against the use case of AI citation intelligence for publishers and review websites. Two platforms named Seerly during ranking discovery; all seven assessed fit. Platform-reported research dates differ from the authoritative run date: deepseek reported 2026-01-15, while the other six reported 2026-09-17. Platform-reported dates are provenance metadata and do not independently prove freshness.
Methodology Limitations
- Company-owned citations materially outnumber independent citations in the supplied research. Company claims are not independently verified.
- The supplied URLs were collected from platform responses and were not independently validated by the writer stage.
- Deepseek and kimi could not retrieve Seerly's official website, producing uncertain ratings based on retrieval failure rather than capability findings.
- Platform-reported research dates differ from the authoritative run date; deepseek's research predates the study date by roughly eight months.
- Public pricing sources conflict on Basic content credits (250 versus 100 per month), and this discrepancy is unresolved.
- One platform reported broader standard engine coverage than others; the conflict is unresolved in the supplied evidence.
- No independent source validating citation detection accuracy, historical retention, or publisher outcomes was identified.
- AI-platform agreement on fit does not prove product quality.
See the broader AI Citation Intelligence Platforms for Publishers and Review Websites consensus index for comparisons across qualified options.
Explore more ai citation authority building guidance in the category directory.
Sources
Company-Owned Sources
- Citany — AI Brand Visibility Monitor Across 8 AI Engines: https://citany.com/
- Citation intelligence for first-party and third-party source analysis | Citany: https://citany.com/product/citation-intelligence
- CitationDesk for Publishers — track ChatGPT, Claude, Perplexity, Gemini citations: https://citationdesk.com/for-publishers/
- Citingly — AI Brand Intelligence Platform: https://citingly.com/
- Seerly - AI Search Optimization Platform: https://gamma.seerly.app/
- GEO for Publishers — Get Articles Cited by AI | Georion: https://georion.app/solutions/publishers
- Seerly | Grow Organic Traffic with AI Search Visibility: https://seerly.app/
- Guide to AI Search Optimization: Tracking Visibility in AI-Driven Search: https://seerly.app/blog/ai-search-optimization-tracking-visibility
- Documentation: https://seerly.app/docs
- Citations | Seerly Documentation: https://seerly.app/docs/citations
- Content overview: https://seerly.app/docs/content-overview
- Getting started: https://seerly.app/docs/getting-started
- Glossary: https://seerly.app/docs/glossary
- Platform | Seerly: https://seerly.app/platform
- Agents | Seerly Platform: https://seerly.app/platform/agents
- Citations | Seerly Platform: https://seerly.app/platform/citations
- Keywords | Seerly Platform: https://seerly.app/platform/keywords
- Pricing Plans | Seerly: https://seerly.app/pricing
- How LLMs decide who to cite: The mechanics behind AI Search visibility: https://seerly.app/resources/engineering/llm-citation-mechanics-behind-ai-search-visibility
- Seerly vs Otterly.AI (2026): Pricing & Features Compared: https://seerly.app/seerly-vs-otterly-ai
- Content Optimisation for AI Search | Seerly: https://seerly.app/solutions/content-teams
- Terms and Conditions | Seerly: https://seerly.app/terms
- SEORCE - AI-Powered SEO Platform: https://seorce.com/solutions/media
- Platform: Discover, Improve, Measure AI Visibility | Viali: https://viali.ai/product/
- Citations Intelligence — Sources Behind AI Answers | Viali: https://viali.ai/product/citations-source-intelligence/
Additional AI research evidence73 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:4-1
- AI research evidence record grok:web:1
- AI research evidence record anthropic:37-4
- AI research evidence record google:tracxn_seerly
- AI research evidence record anthropic:39-1
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:4-23
- AI research evidence record anthropic:4-11
- AI research evidence record anthropic:4-18
- AI research evidence record anthropic:4-2
- AI research evidence record openai:c2
- AI research evidence record google:seerly_faq
- AI research evidence record anthropic:14-17
- AI research evidence record openai:c1
- AI research evidence record anthropic:4-16
- AI research evidence record grok:web:1
- AI research evidence record anthropic:5-14
- AI research evidence record perplexity:c9
- AI research evidence record anthropic:16-21
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:7-16
- AI research evidence record openai:c4
- AI research evidence record deepseek:c1
- AI research evidence record kimi:seerly-domain
- AI research evidence record openai:c1
- AI research evidence record perplexity:c7
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:39-19
- AI research evidence record openai:c2
- AI research evidence record google:seerly_faq
- AI research evidence record anthropic:14-17
- AI research evidence record openai:c1
- AI research evidence record anthropic:27-4
- AI research evidence record anthropic:16-8
- AI research evidence record anthropic:6-2
- AI research evidence record anthropic:19-3
- AI research evidence record anthropic:19-4
- AI research evidence record anthropic:4-12
- AI research evidence record anthropic:4-16
- AI research evidence record anthropic:4-20
- AI research evidence record anthropic:5-9
- AI research evidence record anthropic:5-13
- AI research evidence record anthropic:5-14
- AI research evidence record openai:c2
- AI research evidence record anthropic:39-17
- AI research evidence record openai:c7
- AI research evidence record openai:c2
- AI research evidence record perplexity:c14
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c15
- AI research evidence record openai:c2
- AI research evidence record anthropic:37-4
- AI research evidence record openai:c1
- AI research evidence record anthropic:39-7
- AI research evidence record google:seerly_home
- AI research evidence record anthropic:4-11
- AI research evidence record anthropic:4-12
- AI research evidence record anthropic:21-1
- AI research evidence record openai:c2
- AI research evidence record anthropic:37-4
- AI research evidence record google:seerly_faq
- AI research evidence record google:seerly_home
- AI research evidence record kimi:seorce-media
- AI research evidence record kimi:citationdesk-publishers
- AI research evidence record kimi:citingly-pricing
- AI research evidence record anthropic:14-1
- AI research evidence record kimi:citany-home
- AI research evidence record kimi:georion-publishers
- AI research evidence record anthropic:37-4
- AI research evidence record google:seerly_home
- AI research evidence record openai:c2
Independent Sources
- Seerly - 2026 Company Profile, Team & Competitors: https://tracxn.com
- Seerly Software Pricing, Alternatives & More 2026 | Capterra: https://www.capterra.com/p/10039457/Seerly/
- Seerly Pricing 2026: https://www.capterra.com/p/10039457/Seerly/pricing/
- Seerly Software Reviews, Demo & Pricing - 2026: https://www.softwareadvice.com/product/544448-Seerly/
- Seerly | Reviews, Pricing & Demos: https://www.softwareadvice.ie
Additional AI research evidence73 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:4-1
- AI research evidence record grok:web:1
- AI research evidence record anthropic:37-4
- AI research evidence record google:tracxn_seerly
- AI research evidence record anthropic:39-1
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:4-23
- AI research evidence record anthropic:4-11
- AI research evidence record anthropic:4-18
- AI research evidence record anthropic:4-2
- AI research evidence record openai:c2
- AI research evidence record google:seerly_faq
- AI research evidence record anthropic:14-17
- AI research evidence record openai:c1
- AI research evidence record anthropic:4-16
- AI research evidence record grok:web:1
- AI research evidence record anthropic:5-14
- AI research evidence record perplexity:c9
- AI research evidence record anthropic:16-21
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:7-16
- AI research evidence record openai:c4
- AI research evidence record deepseek:c1
- AI research evidence record kimi:seerly-domain
- AI research evidence record openai:c1
- AI research evidence record perplexity:c7
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:39-19
- AI research evidence record openai:c2
- AI research evidence record google:seerly_faq
- AI research evidence record anthropic:14-17
- AI research evidence record openai:c1
- AI research evidence record anthropic:27-4
- AI research evidence record anthropic:16-8
- AI research evidence record anthropic:6-2
- AI research evidence record anthropic:19-3
- AI research evidence record anthropic:19-4
- AI research evidence record anthropic:4-12
- AI research evidence record anthropic:4-16
- AI research evidence record anthropic:4-20
- AI research evidence record anthropic:5-9
- AI research evidence record anthropic:5-13
- AI research evidence record anthropic:5-14
- AI research evidence record openai:c2
- AI research evidence record anthropic:39-17
- AI research evidence record openai:c7
- AI research evidence record openai:c2
- AI research evidence record perplexity:c14
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c15
- AI research evidence record openai:c2
- AI research evidence record anthropic:37-4
- AI research evidence record openai:c1
- AI research evidence record anthropic:39-7
- AI research evidence record google:seerly_home
- AI research evidence record anthropic:4-11
- AI research evidence record anthropic:4-12
- AI research evidence record anthropic:21-1
- AI research evidence record openai:c2
- AI research evidence record anthropic:37-4
- AI research evidence record google:seerly_faq
- AI research evidence record google:seerly_home
- AI research evidence record kimi:seorce-media
- AI research evidence record kimi:citationdesk-publishers
- AI research evidence record kimi:citingly-pricing
- AI research evidence record anthropic:14-1
- AI research evidence record kimi:citany-home
- AI research evidence record kimi:georion-publishers
- AI research evidence record anthropic:37-4
- AI research evidence record google:seerly_home
- AI research evidence record openai:c2
Verify this research
Review the study details behind this page or download the public machine-readable verification record.
- Study date
- September 17, 2026
- Platforms analyzed
- 7
- Source records
- 31
- Ranking mentions
- 2 of 7
- Platform share
- 29%
- Final consensus rank
- #10
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
5 independent · 26 company-owned
Evidence support
26 direct · 5 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 63d5d34cd0dbc30cd958e2870d390774c5ff3132a367ad8f32c204c6ef1b00ed