Answer Capsule
SE Ranking is a qualified but conditional fit for LLM Monitoring Platforms. Two of the seven platforms in this study named it during the ranking stage — Anthropic (rank 2) and Grok (rank 8) — giving it a 28.6% share of included platform responses and an average listed rank of 5.0. Its strongest reason to consider it is the AI Search Add-on, which tracks defined prompts across Google AI Overviews, Google AI Mode, ChatGPT, Gemini, and Perplexity inside an existing SEO suite [1]. The main limitation is scope: SE Ranking is an SEO platform with an AI-visibility add-on, not a dedicated LLM monitoring product, and its documented engine coverage excludes Claude, Copilot, Grok, and Meta AI [3].
Research Snapshot
| Field | Value |
|---|---|
| Platform mentions in ranking stage | 2 of 7 (Anthropic, Grok) |
| Share of included platform responses | 28.6% |
| Average listed rank | 5.0 |
| Best listed rank | 2 (Anthropic) |
| Relevant product/model/plan | SE Ranking Core or Growth plan with AI Search Add-on (AI Results Tracker) |
| Overall use-case fit | Mixed to good — rated "good" by OpenAI and Google, "mixed" by Anthropic, DeepSeek, Grok, and Perplexity, "weak" by Kimi |
| Research date | 2026-09-19 |
Why SE Ranking Qualified for This Study
Questions This Section Answers
- Is SE Ranking a good choice for LLM Monitoring Platforms in 2026?
- How many AI platforms recommended SE Ranking for LLM monitoring, and at what rank?
SE Ranking qualified because two platforms named it during ranking discovery, and both treated it as a legitimate option for monitoring how AI answer systems discuss a brand. Anthropic ranked it second and described it as one of the best LLM SEO tools for teams that want AI monitoring to be a repeatable part of an SEO strategy without managing a separate platform [5]. Grok listed it eighth and framed it as a useful add-on for existing SE Ranking subscribers rather than a primary dedicated LLM monitor [6].
The qualification is narrow. Five of the seven platforms evaluated fit but did not name SE Ranking in their ranking stage, so the 28.6% share reflects discovery-stage mentions, not a broad endorsement. Anthropic's own verdict was "mixed," citing fragmented platform coverage, slower refresh rates, and layered pricing [7]. Kimi rated it "weak" and argued the evaluation criteria themselves were mismatched [10]. OpenAI and Google both rated it "good" for marketing teams that want AI-search visibility alongside conventional SEO [11].
The Product, Model, Plan, or Service Most Relevant to LLM Monitoring Platforms
Questions This Section Answers
- Which SE Ranking plan and add-on does a buyer need for LLM monitoring?
- Is the AI Results Tracker included in SE Ranking's base plans or sold separately?
The relevant configuration is an SE Ranking Core or Growth subscription plus the AI Search Add-on, which contains the AI Results Tracker [13]. The add-on extends AI functionality and supports AI Results Tracker across AI Overviews, AI Mode, ChatGPT, Perplexity, and Gemini [13]. Projects let users select AI platforms, add prompts, organize prompts into groups, and add competitor domains [15].
SE Ranking also markets a separate product, SE Visible, which the AI Search Add-on includes access to [16]. Independent coverage describes SE Ranking as the SEO suite, SE Visible as the dedicated AI visibility platform, and the AI Results Tracker as an add-on inside SE Ranking — overlapping in scope but not in price, refresh rate, or engine coverage [17]. Buyers should confirm which product they are actually buying before committing.
What the AI Platforms Agreed About
Questions This Section Answers
- What do multiple AI platforms agree SE Ranking does well for LLM monitoring?
- Does SE Ranking track competitor mentions and cited sources in AI answers?
The clearest cross-platform agreement is that SE Ranking tracks defined prompts across a documented set of AI surfaces and reports brand mentions, cited links, and competitor presence. OpenAI, Anthropic, Grok, Perplexity, and Google all describe prompt-level tracking with mention, link, and source reporting [21].
The second area of agreement is competitive analysis. The Competitors tab shows brands and domains appearing in answers for tracked prompts, daily changes, competitor mentions, source links, cached answers, and exportable daily snapshots [27]. Anthropic describes a Brand Visibility Index and a Competitive Benchmarking module for comparing presence against rivals [23]. Perplexity's review coverage describes a competitors module for side-by-side comparison [25].
The third agreement is that SE Ranking is an SEO suite first. Anthropic, DeepSeek, Kimi, and Perplexity all state that AI visibility is layered onto an established SEO platform rather than being the core product [29]. OpenAI frames this as an efficiency advantage for teams that already need conventional SEO tooling [33].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Which AI engines does SE Ranking not track, and does that matter for a US marketing team?
- How often does SE Ranking refresh AI visibility data, and is weekly fast enough?
Engine coverage is the sharpest disagreement. OpenAI, Grok, Perplexity, and Google all list five supported platforms: Google AI Overviews, Google AI Mode, ChatGPT, Gemini, and Perplexity [34]. Anthropic states that Claude and Copilot are not tracked at all and calls the absence of Claude tracking particularly problematic [38]. Kimi claims platform-reported coverage of ten AI search platforms but notes independent verification is unavailable [40]. These claims cannot be reconciled from the supplied evidence, and buyers should verify current coverage directly.
Refresh cadence is a second conflict. Anthropic reports that SE Visible refreshes weekly and calls that slow for a tool at that price point [41]. Grok describes daily prompt tracking in base plans and daily tracking in supported engines [35]. Google describes cached copies of AI-generated results and historical trend tracking without specifying cadence [43]. The discrepancy may reflect different products or tiers rather than a factual error, but it is unresolved in the reviewed sources.
Pricing is a third conflict. Anthropic reports that the $52/month entry price is misleading for AI visibility and that meaningful coverage lands at $150 to $240+ per month [44]. Perplexity reports that public pricing is inconsistent across SE Ranking pages and secondary reviews and rates pricing confidence low [46]. Google and Grok both report high pricing confidence with matching add-on tiers [37]. DeepSeek, whose research was conducted on 2026-02-14 rather than the study date, found add-on pricing unpublished [48].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does SE Ranking support prompt grouping, competitor domains, and source-level analysis?
- How far back does SE Ranking's AI visibility historical data go?
Multi-platform coverage is documented but bounded. AI Results Tracker supports Google AI Overviews, Google AI Mode, ChatGPT, Gemini, and Perplexity [49]. Coverage of other assistants or recommendation platforms is not documented in the reviewed sources [49].
Prompt tracking is metered. One check equals one prompt tracked on one AI platform, so tracking one prompt across five platforms consumes five checks [50]. Core plan includes 100 prompts per day and Growth includes 250 prompts per day [51]. Independent coverage warns that prompt caps compound and that tracking multiple competitors and engines hits the cap quickly [53].
Visibility metrics include brand mentions, links, source positions, Top 3 Presence, Source Presence, and mention and link trends, with cached AI answers reviewable for individual dates [55]. The Sources tab identifies pages and domains cited by supported AI platforms and provides source-level analysis [56].
Historical data depends on scope. Project-level AI history begins when prompts or projects are added, while SE Ranking states that research-tool historical AI data can extend back to February 2020 [58]. Anthropic notes that SE Visible refreshes weekly [59].
Reporting and integrations are partially documented. Competitor results can be exported, and AI Results Tracker data is available through documented API endpoints with date ranges and prompt-level ranking data [60]. Google reports integration with Looker Studio, n8n, Make, and MCP connectors [62]. The reviewed sources do not verify the full reporting, dashboard, white-label, or marketing-automation feature set for the recommended configuration [60].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does SE Ranking's AI Search Add-on cost per month, and what does the base plan add?
- Are there cancellation, renewal, or refund terms a buyer should confirm before paying?
The AI Search Add-on is documented at $89/month for 200 checks, $179/month for 450 checks, or $345/month for 1,000 checks, with annual pricing at $71.20, $143.20, and $276 per month respectively [64]. The underlying Core, Growth, or Enterprise subscription is additional and should be confirmed on the live pricing page [64].
Base plan figures vary by source. Anthropic reports Core at $129/month or $103.20 on annual billing with 10 projects, 2,000 tracked keywords per day, and 100 AI prompts per day, and Growth at 30 projects, 5,000 keywords, and 250 prompts [65]. Grok reports Core at $103.20/month annual and Growth at $223.20/month annual [67]. Perplexity reports official snippets showing Core from $103.20/month, Growth from $223.20/month, Agency Pack from $69.00/month, and API from $149.00/month [68].
Anthropic's agency scenario totals $243.40 per month on annual billing for a ten-client agency: Core at $103.20, Agency Pack at $69, and AI Search at $71.20 [69]. Anthropic also reports that essential features like AI search tracking and agency white-labeling are paid add-ons that can increase monthly cost by 60% or more [71]. API access is described as an annual-only add-on at $45/month with 3 million credits per year at the entry tier [73].
Contract terms are not fully established. A 14-day free trial is available and annual payments save 20% [74]. The trial runs 14 days on Core and Growth with no card required [76]. The reviewed official sources do not clearly establish cancellation, renewal, refund, trial-conversion, or minimum-commitment terms [64]. More than 1,000 monthly checks requires a volume-based package and contacting SE Ranking [64].
Best Suited For
Questions This Section Answers
- Who gets the most value from SE Ranking for LLM monitoring?
- Is SE Ranking worth it for an agency already using it for SEO?
SE Ranking is best suited to marketing teams already using SE Ranking for SEO that want AI-search monitoring inside the same dashboard [78]. It fits teams tracking a defined set of prompts, brand mentions, cited links, competitors, and historical visibility trends [81].
It also fits agencies with Google-centric client bases that want blue-link position and AI presence on one row [80]. Google describes it as cost-effective for teams that want an all-in-one suite with predefined pricing tiers rather than enterprise-only AI visibility platforms [84]. Anthropic notes strong value for agencies with a lower entry price than Semrush and Ahrefs for similar project and keyword use cases [85].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose SE Ranking for LLM Monitoring Platforms?
- Is SE Ranking suitable for a team that needs Claude or Copilot tracking?
Buyers who need monitoring of every major assistant or recommendation surface beyond the five documented platforms should look elsewhere [87]. Anthropic states that Copilot, Claude, Grok, and DeepSeek are not currently tracked and that this is a real blind spot for teams whose customers use those engines [89].
Large prompt portfolios are also a poor fit. Monitoring is metered by prompt and platform, so multi-platform portfolios consume checks quickly, and Anthropic warns that tracking multiple competitors and engines hits the cap fast [91]. Teams seeking deep sentiment, answer-quality, attribution, experimentation, or enterprise workflow capabilities as the primary requirement should not select SE Ranking [87]. Kimi argues the tool offers no prompt tracking in the LLM-observability sense, no token or latency metrics, and no hallucination detection [94].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to SE Ranking for a buyer who needs daily multi-engine tracking?
- When is a dedicated LLM observability platform a better choice than SE Ranking?
Choose a dedicated enterprise AI-search visibility platform when the buyer needs larger prompt volumes, broader assistant coverage, advanced sentiment or category benchmarking, or more specialized GEO workflows [95]. Anthropic names Profound, Scrunch, and AthenaHQ as strong starting points for enterprise brands emphasizing cross-platform visibility, and OtterlyAI and ZipTie for agencies and content teams [96]. Anthropic also notes that OtterlyAI tracks brand visibility across ChatGPT, Perplexity, Google AI Overviews, AI Mode, Gemini, Claude, and Copilot with daily updates [98], and that Rankscale tracks 17+ engines with no per-engine upsell tiers [99].
Choose a conventional LLM observability platform when the actual need is monitoring an organization's own AI applications, including traces, latency, token usage, errors, evaluations, and response quality [95]. Kimi names Langfuse, LangSmith, Helicone, Weights & Biases, and Datadog LLM Observability for those needs [101].
Choose SE Ranking's sister product SE Visible when strategic AI-visibility discovery, sentiment monitoring, topic-cluster prompt discovery, and broader competitor visibility matter more than granular tracking of a preselected prompt set [95]. Anthropic notes that SE Ranking works well as an SEO suite but is less straightforward for companies focused mainly on AI search visibility [102].
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with SE Ranking before signing a contract?
- Which SE Ranking plan tier covers the required prompt volume and competitor count?
Which exact Core, Growth, or Enterprise plan is required for the intended number of projects, prompts, users, competitors, and reporting needs [103]? Are AI Results Tracker checks consumed on every scheduled refresh, and what happens when the monthly check allowance is exhausted [104]? Can the team monitor every required surface, including any specific recommendation, shopping, social, or regional platforms not listed in the documentation [103]?
What geographic, language, device, personalization, and account-state controls are available for ChatGPT, Gemini, Perplexity, and Google AI results [103]? How frequently are prompts checked, and can the buyer choose daily, weekly, or on-demand cadence [103]? Are historical cached answers and source URLs retained for the full subscription period and exportable in bulk [105]?
Which reports, API endpoints, scheduled exports, dashboards, white-label features, and user seats are included versus separately charged [106]? What are the cancellation, renewal, refund, trial, annual-commitment, and data-retention terms [103]? Does the platform provide sentiment, recommendation ranking, answer-quality scoring, or conversion attribution, or only mentions, links, positions, and sources [103]?
Final AI Consensus Verdict
SE Ranking is a qualified fit for LLM Monitoring Platforms, not a clear best-in-class choice. Two of seven platforms named it during ranking discovery, and fit ratings split across the panel: OpenAI and Google rated it good, Anthropic, DeepSeek, Grok, and Perplexity rated it mixed, and Kimi rated it weak. The strongest case is for marketing teams already using SE Ranking for SEO that want prompt-level AI visibility across five documented platforms without adding a separate vendor [107]. The strongest counterargument is scope: the documented engine list excludes Claude, Copilot, Grok, and Meta AI, refresh cadence is disputed, and total cost requires configuration modeling before purchase [109]. Buyers whose primary need is daily multi-engine coverage or technical LLM observability should evaluate dedicated alternatives first.
How This Review Was Produced
This review was produced from seven platform research responses collected for the LLM Monitoring Platforms use case, each evaluating SE Ranking against the same criteria: multi-platform coverage, prompt tracking, competitive analysis, historical data, and useful reporting. Two platforms named SE Ranking during ranking discovery; all seven produced fit assessments. The study date is 2026-09-19. Platform-reported research dates are provenance metadata and do not independently prove freshness. All included platforms evaluated fit, but platform mentions count only platforms that named the entity during ranking discovery. Citations are platform-reported evidence, not independently verified facts. The supplied URLs were collected from platform responses and were not independently validated by the writer stage.
Methodology Limitations
Platform-reported research dates differ from the authoritative run date. DeepSeek's research was conducted on 2026-02-14, roughly seven months before the study date, so its pricing and coverage findings may be stale [112]. No-search model claims require explicit verification before being described as current facts.
Conflicting product names, pricing, and capabilities were not resolved by guessing. SE Ranking's public materials distinguish AI Results Tracker from SE Visible, and the appropriate product depends on whether the buyer wants defined-prompt monitoring or broader strategic visibility discovery [113]. The official add-on page provides add-on prices but does not provide the complete total cost of the required base subscription in the reviewed content [113]. The reviewed sources document five supported AI platforms but do not establish comprehensive coverage of all current LLM, answer-engine, shopping, or recommendation platforms [113]. Historical-data language differs by scope: research tools may expose older data, while project AI history begins from the project or prompt baseline [115]. Cancellation, renewal, refund, and contract terms were not sufficiently verified from the reviewed official sources [113].
Traffic estimation methodology is not disclosed. Independent coverage states that traffic estimates are modeled, not measured, that Google and the AI engines do not expose click data, and that any "traffic from AI" number is an estimate that will not reconcile with GA4 [116]. No independent validation of traffic modeling accuracy was located.
Agreement among AI platforms does not prove product quality. Several findings rest on company-owned documentation, including the AI Search Add-on knowledge base, the AI Results Tracker help articles, and SE Ranking's own blog and product pages [113]. Independent reviews were used where available, but their methodologies were not supplied.
Explore more ai visibility llm monitoring guidance in the category directory.
Sources
Company-Owned Sources
- 10 Best tools for tracking LLM visibility in 2026: https://aiclicks.io/blog/best-tools-for-tracking-llm-visibility
- How to use AI Results Tracker: Rankings: https://help.seranking.com/hc/en-us/articles/16335399186460-How-to-use-AI-Results-Tracker-Rankings
- AI Search Add-on – Knowledge Base: https://help.seranking.com/hc/en-us/articles/22120452776476-AI-Search-Add-on
- How to use AI Results Tracker: Competitors: https://help.seranking.com/hc/en-us/articles/23364631141404-How-to-use-AI-Results-Tracker-Competitors
- AI Results Tracker: Sources - Knowledge Base - SE Ranking: https://help.seranking.com/hc/en-us/articles/23364915854364-AI-Results-Tracker-Sources
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- Setting up a project for AI Results Tracker: https://help.seranking.com/hc/en-us/articles/25486292948764-Setting-up-a-project-for-AI-Results-Tracker
- AI Visibility Platform for ChatGPT, Perplexity & AI Overviews: https://rankscale.ai/
- SE Ranking — SEO platform with AI visibility features: https://seranking.com/
- AI Overviews Tracker: Advanced Analytics for GenAI Search: https://seranking.com/ai-overviews-tracker.html
- AI Search Visibility Tool: Optimize for AI Search: https://seranking.com/ai-visibility-tracker.html
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- 10 Best LLM Tracking Tools in 2026: https://seranking.com/blog/best-llm-tracking-tools/
- How to Access and Analyze Historical SEO Data: https://seranking.com/blog/historical-data/
- SE Ranking features overview: https://seranking.com/features.html
- SE Ranking pricing: https://seranking.com/pricing.html
- Subscription - SE Ranking: https://seranking.com/subscription.html
- Best LLM SEO Tracking Tool Options for Agencies and AI: https://www.vectoron.ai/blog/ai-content-production/best-llm-seo-tracking-tool
- Official pricing and terms source: https://seranking.com/api-pricing.html
Additional AI research evidence122 records
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- AI research evidence record grok:0
- AI research evidence record anthropic:2-1
- AI research evidence record grok:0
- AI research evidence record anthropic:21-1
- AI research evidence record anthropic:21-2
- AI research evidence record anthropic:39-8
- AI research evidence record kimi:seranking-1
- AI research evidence record openai:c1
- AI research evidence record google:1.4.1
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- AI research evidence record anthropic:20-3
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- AI research evidence record openai:c3
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- AI research evidence record anthropic:10-11
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- AI research evidence record google:1.4.3
- AI research evidence record openai:c5
- AI research evidence record anthropic:10-12
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- AI research evidence record deepseek:c2
- AI research evidence record kimi:seranking-1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c1
- AI research evidence record openai:c1
- AI research evidence record grok:0
- AI research evidence record perplexity:c2
- AI research evidence record google:1.4.1
- AI research evidence record anthropic:44-1
- AI research evidence record anthropic:37-6
- AI research evidence record kimi:seranking-1
- AI research evidence record anthropic:21-16
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- AI research evidence record google:1.4.3
- AI research evidence record anthropic:21-1
- AI research evidence record anthropic:21-2
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c5
- AI research evidence record deepseek:c3
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:1-15
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- AI research evidence record openai:c4
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- AI research evidence record perplexity:c10
- AI research evidence record openai:c7
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- AI research evidence record openai:c5
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- AI research evidence record google:1.1.5
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- AI research evidence record grok:0
- AI research evidence record perplexity:c5
- AI research evidence record anthropic:19-19
- AI research evidence record anthropic:19-20
- AI research evidence record anthropic:25-2
- AI research evidence record anthropic:25-7
- AI research evidence record anthropic:22-2
- AI research evidence record anthropic:1-17
- AI research evidence record anthropic:1-18
- AI research evidence record anthropic:19-25
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- AI research evidence record openai:c1
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- AI research evidence record anthropic:5-3
- AI research evidence record openai:c2
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- AI research evidence record openai:c5
- AI research evidence record google:1.4.1
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- AI research evidence record openai:c3
- AI research evidence record anthropic:21-18
- AI research evidence record anthropic:21-21
- AI research evidence record kimi:seranking-1
- AI research evidence record openai:c1
- AI research evidence record anthropic:43-5
- AI research evidence record anthropic:43-6
- AI research evidence record anthropic:34-1
- AI research evidence record anthropic:30-1
- AI research evidence record anthropic:30-4
- AI research evidence record kimi:seranking-1
- AI research evidence record anthropic:38-16
- AI research evidence record openai:c1
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- AI research evidence record openai:c7
- AI research evidence record openai:c8
- AI research evidence record openai:c1
- AI research evidence record anthropic:5-2
- AI research evidence record anthropic:44-1
- AI research evidence record anthropic:21-16
- AI research evidence record anthropic:21-1
- AI research evidence record deepseek:c3
- AI research evidence record openai:c1
- AI research evidence record anthropic:21-4
- AI research evidence record openai:c7
- AI research evidence record anthropic:21-13
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- AI Search Visibility Tracker Pricing Comparison: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEmUmXFfEX2VVDx24ryD2VTPPOMAZcOBPiRjskTg0aqAVGnLJguz23C-FL7tg9-CkTfXYJF4KrwwiL5sJwAcobBuxtit3uyd52XCbdxrUADgPdrzmdR9smU-R8WlCkSjmxv6PIUj_3CEH3jaZOj2x4XVl4MI1sm_gMlsOuIvNR95_z4L_ut6Iq-5XiMktK2oRHCkNHOLMbZCQ_xK9k=
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- AI research evidence record anthropic:44-1
- AI research evidence record grok:0
- AI research evidence record anthropic:2-1
- AI research evidence record grok:0
- AI research evidence record anthropic:21-1
- AI research evidence record anthropic:21-2
- AI research evidence record anthropic:39-8
- AI research evidence record kimi:seranking-1
- AI research evidence record openai:c1
- AI research evidence record google:1.4.1
- AI research evidence record openai:c1
- AI research evidence record anthropic:20-3
- AI research evidence record openai:c2
- AI research evidence record anthropic:20-9
- AI research evidence record anthropic:21-4
- AI research evidence record anthropic:21-5
- AI research evidence record anthropic:21-6
- AI research evidence record anthropic:21-7
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record anthropic:10-11
- AI research evidence record grok:0
- AI research evidence record perplexity:c7
- AI research evidence record google:1.4.3
- AI research evidence record openai:c5
- AI research evidence record anthropic:10-12
- AI research evidence record anthropic:38-16
- AI research evidence record deepseek:c2
- AI research evidence record kimi:seranking-1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c1
- AI research evidence record openai:c1
- AI research evidence record grok:0
- AI research evidence record perplexity:c2
- AI research evidence record google:1.4.1
- AI research evidence record anthropic:44-1
- AI research evidence record anthropic:37-6
- AI research evidence record kimi:seranking-1
- AI research evidence record anthropic:21-16
- AI research evidence record anthropic:21-17
- AI research evidence record google:1.4.3
- AI research evidence record anthropic:21-1
- AI research evidence record anthropic:21-2
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c5
- AI research evidence record deepseek:c3
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:1-15
- AI research evidence record anthropic:1-16
- AI research evidence record anthropic:21-18
- AI research evidence record anthropic:21-21
- AI research evidence record openai:c4
- AI research evidence record openai:c6
- AI research evidence record perplexity:c10
- AI research evidence record openai:c7
- AI research evidence record anthropic:21-16
- AI research evidence record openai:c5
- AI research evidence record openai:c8
- AI research evidence record google:1.1.5
- AI research evidence record google:1.2.1
- AI research evidence record openai:c1
- AI research evidence record anthropic:27-15
- AI research evidence record anthropic:27-16
- AI research evidence record grok:0
- AI research evidence record perplexity:c5
- AI research evidence record anthropic:19-19
- AI research evidence record anthropic:19-20
- AI research evidence record anthropic:25-2
- AI research evidence record anthropic:25-7
- AI research evidence record anthropic:22-2
- AI research evidence record anthropic:1-17
- AI research evidence record anthropic:1-18
- AI research evidence record anthropic:19-25
- AI research evidence record anthropic:19-26
- AI research evidence record openai:c1
- AI research evidence record anthropic:5-2
- AI research evidence record anthropic:5-3
- AI research evidence record openai:c2
- AI research evidence record openai:c4
- AI research evidence record openai:c5
- AI research evidence record google:1.4.1
- AI research evidence record anthropic:24-2
- AI research evidence record anthropic:24-3
- AI research evidence record openai:c1
- AI research evidence record anthropic:44-1
- AI research evidence record anthropic:21-11
- AI research evidence record anthropic:21-12
- AI research evidence record openai:c3
- AI research evidence record anthropic:21-18
- AI research evidence record anthropic:21-21
- AI research evidence record kimi:seranking-1
- AI research evidence record openai:c1
- AI research evidence record anthropic:43-5
- AI research evidence record anthropic:43-6
- AI research evidence record anthropic:34-1
- AI research evidence record anthropic:30-1
- AI research evidence record anthropic:30-4
- AI research evidence record kimi:seranking-1
- AI research evidence record anthropic:38-16
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record openai:c7
- AI research evidence record openai:c8
- AI research evidence record openai:c1
- AI research evidence record anthropic:5-2
- AI research evidence record anthropic:44-1
- AI research evidence record anthropic:21-16
- AI research evidence record anthropic:21-1
- AI research evidence record deepseek:c3
- AI research evidence record openai:c1
- AI research evidence record anthropic:21-4
- AI research evidence record openai:c7
- AI research evidence record anthropic:21-13
- AI research evidence record anthropic:21-14
- AI research evidence record anthropic:21-15
- AI research evidence record openai:c4
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record openai:c8
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
- 52
- Ranking mentions
- 2 of 7
- Platform share
- 29%
- Final consensus rank
- #6
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
30 independent · 22 company-owned
Evidence support
12 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 bf119afd9f77efb7fb9a81069eaf218c413785a0d0cfe9c3c57a82644e944aa6