Answer Capsule
BrightEdge is a good — but conditional — fit for AI Citation Partners for Source Intelligence, Strategy, and Execution. Three of seven platforms named it during the ranking stage (anthropic, deepseek, perplexity), a 42.9% share of included platform responses, at an average listed rank of 7.0 and a best rank of 4. Its strongest reason to consider it is a unified enterprise platform that tracks AI citations across Google AI Overviews, ChatGPT, Perplexity, Gemini, and Claude alongside conventional SEO and content intelligence. The main limitation is that its AI citation depth, methodology, engine coverage, and pricing are largely vendor-reported or undisclosed, and it is measurement-led rather than a managed execution partner.
Research Snapshot
| Field | Value |
|---|---|
| Platform mentions in ranking stage | 3 of 7 platforms (anthropic, deepseek, perplexity) |
| Share of included platform responses | 42.9% |
| Average listed rank | 7.0 |
| Best listed rank | 4 (perplexity) |
| Relevant product/model/plan | BrightEdge AI Catalyst / AI Hyper Cube / Generative Parser / AI Performance and Visibility Management, inside the BrightEdge SEO and content intelligence platform |
| Overall use-case fit | Good with caveats (openai, deepseek, google, perplexity rated good; anthropic, grok, kimi rated mixed) |
| Research date | 2026-09-17 |
Why BrightEdge Qualified for This Study
Questions This Section Answers
- Is BrightEdge a good choice for AI Citation Partners for Source Intelligence, Strategy, and Execution?
- What does BrightEdge's 42.9% platform mention share mean for a buyer comparing AI citation partners?
BrightEdge qualified because three of the seven included platforms named it during ranking discovery, and all seven platforms evaluated its fit for this use case. The three naming platforms placed it at ranks 10 (anthropic), 7 (deepseek), and 4 (perplexity), producing an average listed rank of 7.0 and a best listed rank of 4.
The entity is a US-headquartered enterprise SEO and content intelligence platform with a US enterprise sales motion, which matches the target geography [1]. Its AI visibility positioning is marketed directly against this use case through AI Performance and Visibility Management and generative-answer tooling [2].
Qualification is not the same as endorsement. Four platforms evaluated BrightEdge's fit without naming it in the ranking stage, and fit ratings split: openai, deepseek, google, and perplexity rated it good, while anthropic, grok, and kimi rated it mixed. The consensus index for this category is AI Citation Partners for Source Intelligence, Strategy, and Execution.
The Product, Model, Plan, or Service Most Relevant to AI Citation Partners for Source Intelligence, Strategy, and Execution
Questions This Section Answers
- Which BrightEdge product or module should a buyer choose for AI citation tracking and GEO strategy?
- Is BrightEdge AI Catalyst sold as a standalone module or only inside the full enterprise SEO platform?
The relevant offering is BrightEdge AI Catalyst, which platforms describe as including the Generative Parser, AI Hyper Cube, and Copilot, delivered inside the broader BrightEdge SEO and content intelligence platform [3]. Platform naming varies: openai and grok reference AI Performance and Visibility Management, deepseek and kimi reference the Generative Parser and AI search suite, and perplexity adds AI Agent Insights [6].
BrightEdge describes AI Catalyst as providing visibility across traditional and AI search engines [5], and states that AI Agent Insights is available to enterprise customers inside the platform [6]. The Generative Parser is described as analyzing AI answers and tracking AI Overview presence [7].
The exact commercial packaging and feature boundaries among AI Catalyst, AI Hyper Cube, Generative Parser, AI Performance and Visibility Management, and AI Agent Insights are not clear from public materials (openai, kimi). Buyers should treat the product name as a family of AI visibility capabilities rather than a single defined SKU.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree BrightEdge does well for AI citation source intelligence?
- Does BrightEdge track citations across multiple AI engines in one platform?
Agreement was strongest on three points.
First, BrightEdge tracks AI citations and cited sources across multiple engines. Platforms describe coverage of Google AI Overviews, ChatGPT, Perplexity, Gemini, and Claude [9]. BrightEdge's own research describes a methodology covering ChatGPT, Perplexity, Gemini, Google AI Mode, and Google AI Overviews [12].
Second, BrightEdge distinguishes brand mentions from cited URLs. Its published analysis reports that engines can recommend similar brands while citing substantially different evidence sources, which supports mapping engine-specific citation architecture [12].
Third, the platform's value is integration. Multiple platforms describe AI visibility data sitting alongside classical organic search, technical SEO, and content recommendations in one workflow [14]. BrightEdge itself claims no competitor combines traditional SEO performance data with AI engine citation tracking in a single platform [14] — a company-owned claim, not independently verified.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- How many AI engines does BrightEdge actually track for citations, and do sources agree?
- Is BrightEdge a measurement tool or a full execution partner for AI citation improvements?
Engine coverage is the clearest conflict. Google's response cites a comparison stating AI Catalyst tracks seven AI engines including Claude and DeepSeek [17], while another review states only three engines — Google AI Overviews, ChatGPT, and Perplexity — are fully supported, with others treated as research-only [18]. Anthropic reports five engines [19]. These figures conflict and should not be averaged.
Execution capability is a second disagreement. BrightEdge describes its product as a way to track, understand, and influence presence across generative AI search engines [21]. Independent reviews characterize this as visibility management rather than earned authority creation, noting the software does not generate third-party coverage, citations, or editorial trust [22]. One comparison states BrightEdge tracks AI Overview trends but has minimal ability to execute on those insights [24].
Methodology depth is a third area of uncertainty. Independent vendor profiles state BrightEdge trails pure-play citation-tracking specialists on methodology disclosure, query library size, and engine coverage breadth, without quantified benchmarks [25]. Whether BrightEdge stores verbatim AI answers with full citation provenance for audit defensibility is unverified from public sources (kimi).
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Can BrightEdge identify which specific domains and pages influence AI answers in my category?
- Does BrightEdge map citation architecture and authority gaps across AI engines?
Source intelligence. BrightEdge's Generative Parser is described as identifying domains and pages that influence AI answers and tracking which sources AI systems cite [27]. AI Hyper Cube is described as identifying which category-specific queries trigger AI Overviews and who is winning citations [28]. AI Catalyst is described as analyzing citations, brands, source types, and multiple AI engines [29].
Citation architecture mapping. BrightEdge research distinguishes brand mentions from cited URLs and reports cross-engine citation overlap and source-type differences [30]. Its AI Overview research measured citation-to-organic overlap — whether sources cited in AI Overviews match page-one organic rankings [31].
Competitor citation measurement. BrightEdge's competitive recommendations capability identifies competing sites, pages, keywords, and content opportunities [33]. Its AI research adds competitor and source comparisons for AI search [30]. One independent report states that in some industries the top five publishers and platforms account for a quarter of all citations in AI-generated recommendations [34].
Authority gaps and strategy. BrightEdge research supports GEO strategy by identifying engine-specific source preferences, authority gaps, and differences between brand visibility and citation visibility [30]. Independent reviews note the platform identifies where brands appear and do not appear but does not create the third-party coverage that drives citations [35].
Execution. BrightEdge combines AI visibility research with SEO, content intelligence, and platform products including BrightEdge Content, Autopilot, Foundations, and Link Equity Manager [33]. Public sources do not establish that AI citation improvement actions are delivered as a managed service (openai). One comparison states the platform lacks an integrated action loop linking citation analysis directly with off-site execution [37].
Measurement stability. BrightEdge's own research reports approximately 40% weekly citation turnover in a 12-week ecommerce analysis and recommends weekly trended data rather than a single week [38].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does BrightEdge cost per year for AI citation visibility, and is there a cheaper entry plan?
- What contract length and cancellation terms should a buyer expect from BrightEdge?
BrightEdge does not publish standard product pricing and directs prospects to contact the company [39]. No verified public list price exists for AI Catalyst, AI Hyper Cube, AI visibility modules, or the combined platform (openai).
Third-party estimates conflict. Verified contract data from Vendr covering 44 purchases shows typical spend of $42,000–$69,000 per year with a median near $50,000 per year, roughly $4,200 per month [42]. Spendhound reports averages of $20,977 for SMB and $118,777 for enterprise plans [43]. One comparison estimates AI Catalyst starting around $30,000 per year [44], another estimates roughly $25,000+ per year [45], and a third describes ranges from about $30,000 to well over $100,000 per year [46]. The conservative credible range is $42,000–$69,000 per year (anthropic).
Contract terms. Independent sources report 12–36 month contracts with dedicated onboarding [47], no free trial, free tier, or self-serve signup, and a 6–12 week onboarding process [48]. Multi-year commitments of 24–36 months are reported to achieve 15–30% lower effective annual pricing (anthropic). Vendr describes unlisted pricing, custom quotes, multi-year terms, and annual prepayments as standard [49]. BrightEdge product terms reference a Master Subscription Agreement, order forms, subscription terms, applicable fees, and a defined subscription end date [50].
Additional fees. Implementation, onboarding, consulting, managed services, integrations, data expansion, or additional properties may be separately priced, but this is not confirmed publicly (openai). A credit-based usage model charging per keyword per SERP is reported to escalate costs for multi-country programs [51].
Best Suited For
Questions This Section Answers
- Who gets the most value from BrightEdge for AI citation source intelligence and GEO execution?
- Is BrightEdge best for enterprise teams already using its SEO platform?
BrightEdge is best suited to enterprise and mid-market organizations already using BrightEdge SEO and content intelligence that want AI citation visibility added inside the same platform (openai, anthropic, deepseek). Platforms consistently frame it as enterprise-oriented with a custom sales motion and no self-serve path [52].
It also fits teams that need tracked AI citations, cited-domain analysis, brand recommendation tracking, competitor benchmarking, and longitudinal monitoring across multiple AI search surfaces [55]. Organizations seeking to connect AI visibility findings with conventional SEO, content planning, and competitive recommendations are a stated fit [56].
Retail and e-commerce brands tracking visibility across Google and multiple AI engines simultaneously appear in the best-fit lists (anthropic). Fortune 500 brands requiring unified dashboards combining traditional organic search and generative AI visibility are also named (anthropic). The broader category directory is ai citation authority building.
Probably Not Best Suited For
Questions This Section Answers
- Who should not buy BrightEdge for AI citation tracking and GEO strategy?
- Is BrightEdge overkill for a small team that only needs lightweight AI citation monitoring?
Small buyers seeking transparent self-serve pricing or a low-cost standalone citation-monitoring tool are a poor fit (openai, anthropic, perplexity). BrightEdge is enterprise-priced and cannot be purchased a la carte for the AI module alone, creating redundancy for buyers with existing SEO stacks (anthropic).
Buyers requiring a clearly documented managed-service engagement with guaranteed implementation, outreach, or content production should look elsewhere [57]. Teams needing independently validated accuracy metrics, complete prompt coverage, or guaranteed access to every relevant AI platform are also flagged as poor fits (openai, perplexity).
Organizations without existing BrightEdge infrastructure evaluating AI citation tracking standalone are repeatedly named as the weakest-fit profile [58]. Teams needing specialized B2B conversational AI tracking across 8+ LLMs are directed to other vendors [59].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to BrightEdge for a buyer who needs deeper citation-tracking methodology?
- When should a buyer choose a managed GEO agency instead of BrightEdge?
Choose a specialized standalone AI-visibility vendor when the buyer prioritizes transparent product scope, self-serve onboarding, or detailed prompt-level monitoring over integration with enterprise SEO (openai). Platforms name Profound and AthenaHQ as deeper on methodology, query libraries, and engine coverage of 8+ LLMs [60].
Choose an agency or managed GEO partner when the buyer needs execution of content, digital PR, publisher outreach, community participation, or technical changes rather than primarily intelligence and recommendations [61].
Choose a broader analytics or data platform when the buyer needs independently auditable sampling, custom data access, or direct API-level control across AI engines (openai).
Choose a lower-cost or GEO-native tool when the buyer is an SMB, needs instant access, or wants purpose-built citation-architecture analysis with clearer methodology [62]. Specialized tools are described as offering URL-level third-party citation source intelligence with actionability scoring and paste-ready execution artifacts that BrightEdge does not appear to provide [64].
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with BrightEdge about SKUs, engine coverage, and citation granularity before signing?
- What contract, pricing, and data-retention terms should a buyer negotiate with BrightEdge?
Which exact SKU includes AI Catalyst, AI Hyper Cube, Generative Parser, AI Performance and Visibility Management, prompt tracking, citation extraction, and competitor citation analysis (openai)?
Which AI platforms and surfaces are currently supported, and can the buyer add custom engines, regions, languages, prompts, domains, and competitors (openai, perplexity)?
Are citations available at URL level with historical exports, page-level attribution, source classification, and evidence snapshots (openai, kimi)?
How are brand mentions, recommendations, citations, sentiment, and referral traffic defined and deduplicated (openai)?
What are the prompt volume, query frequency, retention, user, property, API, export, and dashboard limits (openai, perplexity)?
What accuracy, sampling, freshness, and coverage guarantees or service-level commitments apply (openai)?
Does the engagement include hands-on GEO execution, content changes, digital PR, third-party outreach, or only recommendations and workflow integration [66]?
What are the implementation fees, professional-services rates, minimum term, renewal rules, cancellation rights, price increases, and data-retention terms [67]?
Can BrightEdge demonstrate results for a comparable United States buyer using the same engines, category, and citation objectives (openai)?
How are volatile citation results normalized so that weekly changes are not mistaken for durable performance improvement [68]?
Final AI Consensus Verdict
BrightEdge is a good, conditional fit for AI Citation Partners for Source Intelligence, Strategy, and Execution. Four of seven platforms rated it good and three rated it mixed. It qualified through three ranking-stage mentions at an average listed rank of 7.0 and a best rank of 4.
Its defensible strengths are cross-engine citation and source tracking, the distinction between brand mentions and cited URLs, competitor citation comparison, and integration with an established enterprise SEO and content workflow [69]. Its defensible limitations are undisclosed pricing, unclear SKU boundaries, conflicting engine-coverage claims, limited independent validation, and measurement-led rather than managed execution [73].
Treat BrightEdge as a platform-led intelligence and optimization solution rather than assuming it includes full managed AI citation execution. Purchase only after confirming the exact SKU, engine coverage, measurement methodology, implementation scope, and enterprise commercial terms.
How This Review Was Produced
This review synthesizes fit-research responses from seven AI platforms — openai, anthropic, deepseek, google, grok, kimi, and perplexity — each asked to recommend AI citation partners for source intelligence, strategy, and execution and to assess BrightEdge specifically. Three platforms named BrightEdge during ranking discovery; all seven produced fit assessments.
Platform responses were normalized into a shared citation namespace, and every factual claim in this article is tied to a supplied citation ID. Company-owned sources are distinguished from independent sources throughout. No personal testing, customer interviews, or independent verification of vendor claims was performed.
Methodology Limitations
Platform-reported research dates differ from the authoritative run date of 2026-09-17. DeepSeek's response is dated 2026-06-12; all other platforms are dated 2026-09-17. Platform-reported dates are provenance metadata and do not independently prove freshness.
Platform mentions count only platforms that named the entity during ranking discovery; all included platforms evaluated fit. 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.
Public evidence on BrightEdge is largely vendor-produced, and independent validation of accuracy, completeness, and customer outcomes is limited in the sources reviewed. Pricing, packaging, data limits, and exact AI-module entitlements are not publicly transparent, and third-party cost estimates conflict. Conflicting product names, engine-coverage figures, and capability claims were preserved rather than resolved. Citation volatility can make short-term measurements noisy, and the evidence does not confirm that BrightEdge provides hands-on execution such as digital PR, third-party placement, outreach, or guaranteed content implementation.
Sources
Company-Owned Sources
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- How AI Engines Choose Brands: Citation Patterns Revealed: https://help.brightedge.com/resources/weekly-ai-search-insights/how-different-ai-search-engines-choose-which-brands-to-recommend
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- Why AI Engines Cite Different Sources but Recommend the Same Brands: https://www.brightedge.com/resources/weekly-ai-search-insights/ai-search-same-brands-different-sources
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- How BrightEdge Users Can Improve AI Visibility with Evertune: https://www.evertune.ai/resources/insights-on-ai/how-brightedge-users-can-improve-ai-visibility-with-evertune
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Additional AI research evidence75 records
- AI research evidence record deepseek:c2
- AI research evidence record deepseek:c1
- AI research evidence record google:1.4.5
- AI research evidence record anthropic:31-1
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c1
- AI research evidence record kimi:brightedge-ai-search
- AI research evidence record google:1.1.3
- AI research evidence record anthropic:34-2
- AI research evidence record anthropic:18-4
- AI research evidence record grok:0
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:28-2
- AI research evidence record grok:2
- AI research evidence record kimi:brightedge-platform
- AI research evidence record google:1.4.5
- AI research evidence record google:1.4.8
- AI research evidence record anthropic:18-4
- AI research evidence record anthropic:41-4
- AI research evidence record anthropic:35-1
- AI research evidence record anthropic:9-2
- AI research evidence record google:1.2.7
- AI research evidence record anthropic:41-6
- AI research evidence record anthropic:1-4
- AI research evidence record grok:2
- AI research evidence record anthropic:34-2
- AI research evidence record google:1.2.5
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:5-4
- AI research evidence record google:1.2.3
- AI research evidence record openai:c4
- AI research evidence record anthropic:7-1
- AI research evidence record anthropic:9-2
- AI research evidence record openai:c5
- AI research evidence record google:1.4.4
- AI research evidence record openai:c6
- AI research evidence record openai:c7
- AI research evidence record anthropic:19-3
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:24-2
- AI research evidence record anthropic:21-1
- AI research evidence record google:1.4.6
- AI research evidence record grok:8
- AI research evidence record perplexity:c7
- AI research evidence record anthropic:24-9
- AI research evidence record anthropic:24-11
- AI research evidence record google:1.4.2
- AI research evidence record openai:c5
- AI research evidence record anthropic:29-12
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c4
- AI research evidence record perplexity:c6
- AI research evidence record anthropic:34-2
- AI research evidence record anthropic:28-2
- AI research evidence record anthropic:9-2
- AI research evidence record anthropic:1-6
- AI research evidence record anthropic:41-4
- AI research evidence record anthropic:41-4
- AI research evidence record anthropic:9-2
- AI research evidence record google:1.4.6
- AI research evidence record grok:8
- AI research evidence record kimi:geo-tracker-csi
- AI research evidence record kimi:cited-source-intel
- AI research evidence record anthropic:41-6
- AI research evidence record anthropic:24-9
- AI research evidence record openai:c6
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c4
- AI research evidence record anthropic:28-2
- AI research evidence record google:1.4.5
- AI research evidence record google:1.4.8
- AI research evidence record anthropic:9-2
Independent Sources
- BrightEdge | AEO Analytics: https://aeoanalytics.ai/aeo-tools/brightedge/
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- BrightEdge: pricing, engines and status | The Agent Visibility Directory: https://agentvisibilitytools.com/tool/brightedge/
- BrightEdge Pricing & Review (2026): Features & Verdict: https://appscribed.com/software/brightedge-review/
- BrightEdge AI Visibility Review 2026: Is It Worth Buying?: https://authoritytech.io/blog/brightedge-ai-search-visibility-2026
- BrightEdge for AI Search Visibility: What It Tracks, Where It Stops, and What Closes the Gap: https://authoritytech.io/blog/brightedge-alternatives-2026-ai-search-visibility
- BrightEdge Review 2026: Pricing, Data Cube Explained & Honest Verdict | CrawlRaven: https://crawlraven.com/blog/brightedge-review
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- Spottlo vs BrightEdge — AI visibility tracking compared (2026: https://spottlo.com/vs/brightedge
- BrightEdge Review 2026: Demo-Only Pricing & Alternatives: https://trakkr.ai/reviews/brightedge-review
- KIME vs BrightEdge: AI visibility tool comparison: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFvwt3jkDazK-vQuQGpH7UzsOh1Go4NOxz8IP8kdAULJ_JBQIDaOGeIMPHPJRRTFeFZaRZtgFoYKpPKrzk__nV_kx_FHLLUtqpbj3oxuWa2rkemJHW7uWZGFLIxpsizcLLv0wyn
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- Profound vs BrightEdge vs Scrunch: AI Search Visibility Platforms Compared (2026: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHmHc19cXeDWflBz5b0iTbUHGGXwFhNbgeLNe1luvuKQNsH-j7SWrYy4wJ1KppmlpC3MV7RqqGaWqCTPZDYT0Y8djF5kVH5BHbKTtE5ARQayqzcowewsL0o2G1MZwY6Nnob4RL8ryr41UZFv2OYNdPfCicZhTHJwO42rlvYnAgkelFVR_e_NvUPFJphXr9pUbqN4cJhYiZuUev8hq5r-zqO
- Getspotted vs BrightEdge: GEO-native vs enterprise SEO (2026: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHx13wWrj_Pe-Pr77xqbkYvOqjjTpMWLSAYLiCdTJS_idBHRO8JWw850QiGylH-x0jkvqPSkhj2gPkVimBXP_oC1SWvIyHF_2mL9Cj8f4IfrFqxrdpDJFayQYQDqwSZEnkpgGSiomPHduxQtxE=
- BrightEdge Reviews & Ratings 2026 | Gartner Peer Insights: https://www.gartner.com/reviews/product/brightedge
- BrightEdge Too Enterprise? 5 AI Search Visibility Alternatives for 2026: https://www.rivalsee.com/blog/brightedge-alternatives-ai-search-visibility
- Actual BrightEdge Pricing 2026 | See How We Help You Pay Less: https://www.spendhound.com/marketplace/brightedge-pricing
- 10 BrightEdge Alternatives for Tracking Brand Visibility in AI Search: https://www.useomnia.com/blog/brightedge-alternatives
- 9 Best Profound AEO Alternatives for 2026 - Omnia: https://www.useomnia.com/blog/profound-aeo-alternatives
- BrightEdge Software Pricing & Plans 2026: See Your Cost: https://www.vendr.com/marketplace/brightedge
Additional AI research evidence75 records
- AI research evidence record deepseek:c2
- AI research evidence record deepseek:c1
- AI research evidence record google:1.4.5
- AI research evidence record anthropic:31-1
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c1
- AI research evidence record kimi:brightedge-ai-search
- AI research evidence record google:1.1.3
- AI research evidence record anthropic:34-2
- AI research evidence record anthropic:18-4
- AI research evidence record grok:0
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:28-2
- AI research evidence record grok:2
- AI research evidence record kimi:brightedge-platform
- AI research evidence record google:1.4.5
- AI research evidence record google:1.4.8
- AI research evidence record anthropic:18-4
- AI research evidence record anthropic:41-4
- AI research evidence record anthropic:35-1
- AI research evidence record anthropic:9-2
- AI research evidence record google:1.2.7
- AI research evidence record anthropic:41-6
- AI research evidence record anthropic:1-4
- AI research evidence record grok:2
- AI research evidence record anthropic:34-2
- AI research evidence record google:1.2.5
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:5-4
- AI research evidence record google:1.2.3
- AI research evidence record openai:c4
- AI research evidence record anthropic:7-1
- AI research evidence record anthropic:9-2
- AI research evidence record openai:c5
- AI research evidence record google:1.4.4
- AI research evidence record openai:c6
- AI research evidence record openai:c7
- AI research evidence record anthropic:19-3
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:24-2
- AI research evidence record anthropic:21-1
- AI research evidence record google:1.4.6
- AI research evidence record grok:8
- AI research evidence record perplexity:c7
- AI research evidence record anthropic:24-9
- AI research evidence record anthropic:24-11
- AI research evidence record google:1.4.2
- AI research evidence record openai:c5
- AI research evidence record anthropic:29-12
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c4
- AI research evidence record perplexity:c6
- AI research evidence record anthropic:34-2
- AI research evidence record anthropic:28-2
- AI research evidence record anthropic:9-2
- AI research evidence record anthropic:1-6
- AI research evidence record anthropic:41-4
- AI research evidence record anthropic:41-4
- AI research evidence record anthropic:9-2
- AI research evidence record google:1.4.6
- AI research evidence record grok:8
- AI research evidence record kimi:geo-tracker-csi
- AI research evidence record kimi:cited-source-intel
- AI research evidence record anthropic:41-6
- AI research evidence record anthropic:24-9
- AI research evidence record openai:c6
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c4
- AI research evidence record anthropic:28-2
- AI research evidence record google:1.4.5
- AI research evidence record google:1.4.8
- AI research evidence record anthropic:9-2
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
- 48
- Ranking mentions
- 3 of 7
- Platform share
- 43%
- Final consensus rank
- #5
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
24 independent · 24 company-owned
Evidence support
23 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 119704bb8b54750f8b59b5559695e82425ce6da70a3363c6b610188f98e4fad9