Answer Capsule
Authority is a good, but not fully validated, fit for companies seeking AI content optimization with citation intelligence. Two of the seven platforms in this study named Authority during the ranking stage, and those two placed it at an average rank of 2.0 (best rank 1). Its strongest reason to consider it is a published capability set that directly addresses citation tracking, source and competitor analysis, AEO scoring, citation-gap discovery, and answer-oriented optimization recommendations. The main limitation is evidence quality: nearly all available documentation is company-published, independent validation is limited, and the depth, reliability, and coverage of its citation data require buyer verification before purchase.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 2 of 7 platforms (anthropic, perplexity) |
| Share of included platform responses | 28.6% |
| Average listed rank | 2.0 |
| Best listed rank | 1 |
| Relevant product/model/plan | Authority Content Intelligence Platform (Full Suite); Content Intelligence |
| Overall use-case fit | Good, not fully validated |
| Research date | 2026-09-19 |
Why Authority Qualified for This Study
Questions This Section Answers
- Why did Authority qualify for this AI content optimization with citation intelligence study?
- How many AI platforms named Authority in the ranking stage for citation intelligence tools?
Authority qualified because two of the seven platforms in this study named it during ranking discovery, and both placed it near the top of their recommendations. Anthropic ranked Authority first; Perplexity ranked it third (anthropic, perplexity). That produced an average listed rank of 2.0 and a best listed rank of 1 across the platforms that named it.
The mention count matters for interpretation. Only 2 of 7 included platforms named Authority at the ranking stage, a 28.6% share of included platform responses. The remaining platforms evaluated Authority only after it was surfaced as a candidate, and their fit ratings ranged from strong to uncertain. Qualification for this study therefore reflects early-stage discovery by a minority of platforms, not unanimous recognition.
Authority's official website is tryauthority.ai, and the entity is classified as a company in this research [1]. The relevant product for this use case is the Authority Content Intelligence Platform, referred to in some platform responses as the Full Suite or Content Intelligence plan [2].
The Product, Model, Plan, or Service Most Relevant to AI Content Optimization Platforms With Citation Intelligence
Questions This Section Answers
- Which Authority product or plan is most relevant for AI content optimization with citation intelligence?
- Does Authority's Content Intelligence platform include citation tracking and AEO scoring for AI search visibility?
The most relevant offering is the Authority Content Intelligence Platform, which platform responses also label the Full Suite or Content Intelligence plan. Authority describes Content Intelligence as including citation detection tiers, competitor intelligence, share-of-voice tracking, and plan-level features [4]. A separate Content Intelligence feature page positions the product for improving content performance in AI search, though the public snippet does not expose the full workflow [5].
Authority states that it probes ChatGPT, Claude, Gemini, and Perplexity with web search enabled, provides per-platform citation breakdowns, and identifies citation gaps [6]. It also claims three detection tiers: named citations, linked citations, and extracted content used without attribution [4]. The platform presents a Citation Graph that maps citation events, co-citation relationships, source authority networks, and citation trends [7].
The Authority Index is described as a composite metric combining visibility, citation depth, semantic breadth, velocity, and network authority [8]. An AEO scoring engine evaluates answer blocks, claim density, content structure, authority signals, and competitor comparisons [10]. Authority also documents a citation-tracking feature with dashboard access to citations [11].
One naming conflict is unresolved. The "Full Suite" label supplied for this assessment does not appear consistently as a public plan name; the public pricing page uses the name Authority for the $299/$399 tier [4]. Buyers should confirm the exact plan name and included features directly with the vendor.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Authority does well for citation intelligence buyers?
- Is Authority's citation tracking across ChatGPT, Claude, Perplexity, and Google AI consistently reported?
Platforms broadly agreed that Authority's core positioning is citation intelligence for AI search rather than traditional keyword or SERP tracking. Authority is described as tracking when AI systems cite content across ChatGPT, Claude, Perplexity, and Google AI [13]. Multiple platforms reported real-time or near-real-time citation monitoring [16].
Platforms also agreed that Authority publishes a structured framework connecting citation behavior to content strategy. Authority describes answer-first architecture, eligibility and selection concepts, source depth, and citation-oriented content strategy [18]. It presents a 40-to-60-word answer-block concept and links extractability to AI citation behavior [19]. Google's response characterized the platform as uniquely tailored for Answer Engine Optimization, mapping the journey from bot crawls to direct or uncredited citations [20].
A third area of agreement was the existence of a composite visibility metric. The Authority Index is consistently described across platform responses as a weighted score for AI visibility benchmarking [22].
Agreement here reflects consistent platform reporting of company-published material. It does not establish that the product performs as described.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Why do AI platforms disagree about whether Authority is a complete content optimization platform?
- Is Authority's citation intelligence capability independently verified for AI content optimization?
Fit ratings diverged sharply. Google rated Authority a strong fit and called it "exceptional" and "first-of-its-kind" for AEO [25]. OpenAI, Perplexity, and Grok each rated it a good fit (openai, perplexity, grok). Anthropic rated it a weak fit, arguing it is a specialized citation-tracking tool rather than a comprehensive content optimization platform and lacks integrated content-gap identification, competitor research depth, and optimization briefs (anthropic). DeepSeek and Kimi both rated fit uncertain, citing thin or inaccessible public evidence (deepseek, kimi).
The disagreement centers on scope. Anthropic found no evidence that Authority provides content optimization recommendations, content-gap identification, or competitor citation analysis (anthropic). OpenAI, by contrast, reported that Authority describes identifying questions where competitors are cited while the buyer is not, then using Gap Auto-Close to inject answers through its edge proxy [26]. Google described automated answer-block creation, embedded citable claims, auto-generated JSON-LD schema, and real-time AEO scoring during drafting [28].
Platform coverage is also unclear. Authority's public materials refer to four or five AI platforms across different pages, so exact coverage is unresolved (openai). DeepSeek could not confirm the plan names used in the ranking stage on the official site (deepseek). Kimi reported that no search results for tryauthority.ai were returned in its corpus, creating uncertainty about current product status (kimi).
Pricing conflicts are material. OpenAI and Perplexity reported Optimize at $149/month or $199/month billed annually, Authority at $299/month or $399/month billed annually, and Agency at $749/month or $999/month billed annually [26]. Google reported Monitor at $79/month, Optimize at $199/month, Pro at $399/month, and Agency at $999/month, with annual discounts [30]. Perplexity separately noted a Monitor plan at $79/month on a citation-tracking page [31]. These figures do not reconcile cleanly, and the public pricing pages show different display conventions for monthly versus annual billing (openai).
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does Authority provide content-gap identification and competitor citation analysis for AI search?
- How does Authority's three-tier citation detection work for uncredited AI content?
Authority's published capabilities map onto the stated buyer requirements with varying degrees of documentation.
Citation intelligence. Authority states that it probes ChatGPT, Claude, Gemini, and Perplexity with web search enabled, provides per-platform citation breakdowns, and identifies citation gaps [32]. It claims three detection tiers: named citations, linked citations, and extracted content used without attribution [33]. Google's response described Tier 3 as extracted-content fingerprinting using NLP semantic matching to detect when an AI uses a brand's frameworks or phrasing without credit [34]. Authority's own methodology page notes that semantic matching at scale is computationally heavy, pointing to limitations in immediate real-time paraphrase tracking [35].
Source and citation architecture analysis. The Citation Graph maps citation events, co-citation relationships, source authority networks, and citation trends [36]. The Authority Index combines visibility, citation depth, semantic breadth, velocity, and network authority [37].
Competitor research. Content-analysis materials show competitor comparisons using AEO score, answer-block presence, claim counts, and citation status [39]. Pricing materials list competitor intelligence and share-of-voice tracking in the Optimize tier [33]. Google's response described Visibility Intelligence and the Authority Index as enabling competitor comparison via citation patterns [40].
Content-gap identification. Authority describes identifying questions where competitors are cited while the buyer is not, then using Gap Auto-Close to inject answers through its edge proxy [33]. The public materials do not clearly document the size of the question database, query sampling methodology, or statistical confidence of gap findings (openai).
Optimization recommendations. The AEO scoring engine evaluates answer-block quality, claim density, content structure, and authority signals [39]. Published recommendations include direct extractable answers, verifiable claims, semantic headings, lists, FAQ markup, author credentials, freshness, and external citations [39]. Google reported automated creation of 40-to-60-word answer blocks, embedded citable claims, auto-generated JSON-LD schema, and real-time AEO scoring during drafting [42].
Implementation. Authority Edge is described as a DNS-based edge proxy that can inject answer blocks, schema, semantic HTML, SEO fixes, internal links, bot tracking, and gap-closing content without changing the human-visible site [43]. This may accelerate deployment but introduces infrastructure, caching, QA, and change-control considerations (openai).
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Authority cost per month, and does annual billing change the price?
- Are there setup, overage, or cancellation fees with Authority's citation intelligence plans?
Public pricing is reported inconsistently across platform responses, and buyers should treat all figures as unverified.
| Plan | OpenAI / Perplexity report | Google report |
|---|---|---|
| Free | No credit card required; usage limits unclear | Not reported |
| Monitor | $79/month (Perplexity citation-tracking page) | $79/month monthly; $59/month annually |
| Optimize | $149/month, or $199/month billed annually | $199/month monthly; $149/month annually |
| Authority / Pro | $299/month, or $399/month billed annually | $399/month monthly; $299/month annually |
| Agency | $749/month, or $999/month billed annually | $999/month monthly; $749/month annually |
Sources: [45].
The two reporting sets appear to invert which figure applies to monthly versus annual billing. OpenAI noted that public pricing pages show different display conventions for monthly versus annual billing, and that the exact amount charged monthly under each billing option should be confirmed (openai). Google reported a 25% annual discount and stated pricing confidence as high [48]. OpenAI and Perplexity both reported moderate pricing confidence (openai, perplexity).
Contract terms are partially documented. Authority's terms state that subscriptions may be billed monthly or annually and may be canceled at any time, with access retained through the current billing period [49]. Perplexity confirmed monthly plans are billed monthly, annual plans billed yearly, and cancellation is allowed anytime with access retained through the current billing period [46]. A 14-day trial and no-credit-card signup are stated on pricing materials [48].
Gaps remain. The public materials do not clearly state refund rules, annual-contract termination consequences, renewal notice periods, service-level commitments, data-retention periods, or enterprise procurement terms (openai). No separately stated fees for query overages, additional users, API access, data export, onboarding, implementation, or premium support were found in the reviewed public materials (openai). Monthly probe budgets may constrain usage and imply overage or upgrade pressure, but public overage pricing is unclear [47]. Potential infrastructure and engineering costs may arise if the buyer deploys Authority Edge through DNS or proxy changes (openai). Enterprise plans with custom scaling for query sets of 150 or more are priced upon request [48].
Best Suited For
Questions This Section Answers
- Who is Authority best suited for among AI content optimization buyers?
- Is Authority a good choice for teams that need competitor citation comparisons and AEO scoring?
Authority is best suited for companies prioritizing citation visibility across ChatGPT, Claude, Perplexity, Google AI, and related generative-answer environments (openai). It fits content and SEO teams that need competitor comparisons, citation-readiness scoring, and answer-oriented optimization guidance (openai). It also suits buyers willing to test an emerging platform and validate citation data against their own controlled queries (openai).
Platforms specifically named brands seeking real-time citation tracking and monitoring across major AI platforms (anthropic), teams wanting a self-serve platform with a free entry tier and paid plans that scale with probe volume (perplexity), and companies experiencing a drop in organic search CTR that want to pivot to Answer Engine Optimization [50].
Google's response added SaaS and enterprise websites wanting automated structured schema and real-time edge-proxy content optimizations without code changes [50]. OpenAI noted the Full Suite plan is presented as including unlimited sites and automatic answer-block capabilities [51].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Authority for AI content optimization with citation intelligence?
- Is Authority unsuitable for buyers who need independently audited citation measurement?
Authority is probably not the best choice for organizations requiring independently audited citation measurement, mature enterprise governance, or extensive third-party validation (openai). It is also a poor fit for teams seeking a conventional SEO content optimization suite primarily centered on backlinks, rankings, keyword research, or established search-engine metrics (openai).
Buyers unwilling to route website traffic through a DNS or edge-proxy implementation should look elsewhere where Edge Optimizer features are used (openai). Anthropic's assessment went further, concluding that teams needing integrated content optimization and citation intelligence in one platform, content-gap identification, optimization recommendations, or comprehensive competitor research with citation analysis should not select Authority as a primary platform (anthropic).
DeepSeek advised against selection for buyers needing independently documented citation-intelligence benchmarking or published pricing and self-serve evaluation before purchase (deepseek). Kimi advised against selection for buyers requiring immediate deployment with verified citation intelligence across ChatGPT, Perplexity, Gemini, and Claude, or transparent published pricing and feature comparisons before procurement (kimi). Google noted very small blogs on extremely tight budgets may not justify a $79/month minimum subscription [52].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Authority when mature SEO functionality is the priority?
- When should a buyer choose a different citation intelligence platform instead of Authority?
Another option may be better in several documented situations.
When the primary requirement is mature keyword, backlink, SERP, editorial workflow, or enterprise reporting functionality rather than AI citation intelligence, a more established SEO or content-intelligence platform is the better choice (openai). When citation measurement must support formal performance reporting, buyers should choose a platform with independently documented benchmarks or transparent query methodology (openai). When procurement, security, or integration requirements are strict, buyers should choose a vendor with contractual enterprise controls, documented APIs, data-processing terms, and service-level commitments (openai).
Anthropic recommended Superlines, Surfer SEO, MarketMuse, or Wellows for integrated content optimization with citation intelligence; Profound, Similarweb AI Citation Analysis, or Wellows for content-gap identification and automated optimization briefs; Clairon, Profound, Similarweb, or Beamtrace for competitive research and source-level analysis; and Frase, Superlines, or MarketMuse for end-to-end AI content strategy including creation and optimization [53]. Frase separately notes that most citation intelligence and content optimization platforms require stitching together separate tools for tracking, optimization, and content creation [55].
Kimi recommended Citingly for multi-engine tracking with published pricing at $49–$399/month, Cited for real buyer-question analysis with content workflow closure, and Clear Cited for share-of-model measurement with fixed-price auditing [56]. Grok suggested comparing tools like Ahrefs Brand Radar or Semrush LLM SEO when transparent pricing and extensive third-party validation are required (grok). Google advised against Authority when strict network compliance or security requirements prohibit placing an external edge proxy in front of the primary production website, or when the buyer only wants simple traditional SEO tracking focused on standard Google SERPs [59].
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Authority before signing a contract?
- Which Authority plan details need verification before purchase?
The platform responses converged on a consistent verification list. Buyers should confirm which AI platforms, model versions, regions, and web-search modes are included in the selected plan (openai). They should confirm how many queries, domains, competitors, users, and historical observations are included each month (openai), and what the exact monthly probe limits, overage policies, and credit rollover rules are [60].
Methodology verification matters. Buyers should ask how Authority verifies Tier 3 extracted-content matches and distinguishes genuine reuse from semantic similarity (openai), and whether they can inspect raw prompts, model responses, source URLs, timestamps, and confidence scores (openai). They should ask what evidence supports the Authority Index and AEO Score and whether a controlled validation pilot is available (openai). Kimi raised whether Authority stores verbatim AI responses for audit trail and accuracy verification, and whether its share-of-model methodology is reproducible with confidence intervals (kimi).
Infrastructure and integration questions include whether Edge Optimizer requires DNS delegation, TLS changes, caching changes, or access to origin infrastructure (openai), and whether API access, bulk export, webhooks, SSO, audit logs, and role-based permissions are included (openai). Buyers should also ask how injected answer blocks, schema, and content changes are reviewed, versioned, rolled back, and prevented from creating inaccurate claims (openai).
Commercial terms to confirm include refund, renewal, annual-cancellation, data-retention, deletion, and support terms (openai), plus whether there are usage-based charges or limits for AI probing, content generation, competitor tracking, or additional sites (openai). DeepSeek recommended requesting a trial, pilot, or proof-of-concept to test citation outputs before purchase (deepseek). Grok recommended requesting recent customer case studies or independent validation of citation tracking accuracy (grok).
Final AI Consensus Verdict
Authority is a good fit for buyers specifically seeking an emerging AI-visibility and citation-intelligence layer with competitor analysis and citation-oriented content recommendations. It is strongest for teams that can validate results through a pilot and do not require independently audited measurement. It should not be treated as a proven replacement for mature SEO suites or enterprise-grade citation analytics without verifying coverage, methodology, data access, infrastructure requirements, and contractual terms.
The consensus is not unanimous. Google rated Authority a strong fit; OpenAI, Perplexity, and Grok rated it good; Anthropic rated it weak; DeepSeek and Kimi rated fit uncertain. The split reflects a genuine scope disagreement about whether Authority is a complete content optimization platform or a specialized citation-tracking layer, and it reflects thin independent evidence across all platform responses.
How This Review Was Produced
This review synthesizes fit-research responses from seven AI platforms: OpenAI, Anthropic, Google, Grok, Perplexity, DeepSeek, and Kimi. Each platform received the same buyer prompt describing a company that wants to improve content based on the sources AI systems actually cite, and each returned a fit rating, use-case findings, pricing observations, limitations, and verification questions. Authority was named during ranking discovery by two of the seven platforms. The remaining platforms evaluated Authority after it was surfaced as a candidate. All platform responses are platform-reported and were not independently verified by the writer stage.
Methodology Limitations
Several limitations constrain the conclusions in this review.
Company-owned citations materially outnumber independent citations. Of 31 deduplicated sources, 29 are company-owned and 2 are independent. Company claims should not be described as independently verified.
Platform-reported research dates differ from the authoritative run date of 2026-09-19. DeepSeek's response is dated 2026-02-14, roughly seven months earlier. Platform-reported dates are provenance metadata and do not independently prove freshness.
DeepSeek's response was produced with search disabled, so its findings rest on model knowledge rather than retrieved evidence. Kimi reported that no search results for tryauthority.ai were returned in its corpus, which limits its ability to verify current product status.
Pricing, plan names, and platform coverage conflict across sources and were not resolved by guessing. The supplied URLs were collected from platform responses and were not independently validated by the writer stage. No independent benchmark study demonstrating that Authority's scores or recommendations predict citations or improve citation share was found in the reviewed sources. The Authority Index and AEO Score are proprietary metrics, and their comparability with other vendors' measurements is unestablished.
See the broader AI Content Optimization Platforms With Citation Intelligence consensus index for comparisons across qualified options.
Explore more ai seo content optimization guidance in the category directory.
Sources
Company-Owned Sources
- Citingly — AI Brand Intelligence Platform: https://citingly.com/
- Features — Citingly AI Brand Intelligence: https://citingly.com/features
- AI Search Optimization Service — Clear Cited: https://clearcited.com/ai-search-optimization/
- Authority - Citation Intelligence for AI Search: https://tryauthority.ai/
- Authority Index - The Metric for AI Visibility: https://tryauthority.ai/authority-index
- Live Citation Graph: https://tryauthority.ai/citation-graph
- Authority Documentation - Billing & Plans: https://tryauthority.ai/docs/billing-plans
- How Citation Tracking Works | Authority Docs: https://tryauthority.ai/docs/citation-tracking
- Authority - AI Search Citation Intelligence: https://tryauthority.ai/es
- The Authority Index: https://tryauthority.ai/features/authority-index
- Citation Tracking | Authority: https://tryauthority.ai/features/citation-tracking
- Content Analysis & AEO Scoring: https://tryauthority.ai/features/content-analysis
- Content Built For Citations: https://tryauthority.ai/features/content-creation
- Content Intelligence | Authority - Citation Intelligence Platform: https://tryauthority.ai/features/content-intelligence
- Visitor Intelligence | Authority - Server-Side Attribution: https://tryauthority.ai/features/visitor-intelligence
- Authority - AI Search Citation Intelligence: https://tryauthority.ai/ja
- The 40-60 Word Answer Block: https://tryauthority.ai/learn/answer-blocks
- The Citation Funnel: 3 Stages to AI Visibility: https://tryauthority.ai/learn/blog/citation-funnel-framework
- Citation Intelligence Whitepaper: https://tryauthority.ai/learn/citation-intelligence
- Tier 3 Detection and Fingerprinting Methodology: https://tryauthority.ai/learn/tier-3-detection
- The Authority Playbook | AEO Guide: https://tryauthority.ai/playbook
- Pricing | Authority - Citation Intelligence Plans: https://tryauthority.ai/pricing
- Citation Intelligence Methodology - Authority Research: https://tryauthority.ai/research/methodology
- Tier 3 Detection: Finding Uncredited Content: https://tryauthority.ai/research/tier-3-detection
- Terms of Service: https://tryauthority.ai/terms
- AI SEO & Generative Engine Optimization (GEO) Tool | Cited: https://www.citedintel.com/
- Citation Analytics - Track Which Sources AI Engines Trust | DemandSphere: https://www.demandsphere.com/platform/demandmetrics-genai/citation-analytics/
- Mastering AI Citations: The Ultimate GEO Playbook | Frase: https://www.frase.io/blog/how-to-get-cited-by-ai-search-engines-the-complete-geo-playbook
- AI Search Optimization Platform for Brands | Cited: https://www.getcited.in/platform
Additional AI research evidence60 records
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record perplexity:3
- AI research evidence record openai:c2
- AI research evidence record perplexity:3
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record google:1.3.5
- AI research evidence record openai:c5
- AI research evidence record perplexity:4
- AI research evidence record perplexity:6
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:2-2
- AI research evidence record anthropic:9-2
- AI research evidence record anthropic:9-1
- AI research evidence record perplexity:4
- AI research evidence record openai:c6
- AI research evidence record openai:c7
- AI research evidence record google:1.3.1
- AI research evidence record google:1.3.2
- AI research evidence record openai:c4
- AI research evidence record google:1.3.5
- AI research evidence record grok:1
- AI research evidence record google:1.3.1
- AI research evidence record openai:c2
- AI research evidence record openai:c6
- AI research evidence record google:1.3.3
- AI research evidence record perplexity:2
- AI research evidence record google:3.1.1
- AI research evidence record perplexity:4
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record google:1.3.2
- AI research evidence record google:2.1.4
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record google:1.3.5
- AI research evidence record openai:c5
- AI research evidence record grok:1
- AI research evidence record openai:c6
- AI research evidence record google:1.3.3
- AI research evidence record openai:c8
- AI research evidence record google:1.3.1
- AI research evidence record openai:c2
- AI research evidence record perplexity:2
- AI research evidence record perplexity:4
- AI research evidence record google:3.1.1
- AI research evidence record openai:c9
- AI research evidence record google:1.3.1
- AI research evidence record openai:c2
- AI research evidence record google:3.1.1
- AI research evidence record anthropic:10-3
- AI research evidence record anthropic:12-7
- AI research evidence record anthropic:37-2
- AI research evidence record kimi:citingly_pricing
- AI research evidence record kimi:citedintel_workflow
- AI research evidence record kimi:clearcited_methodology
- AI research evidence record google:1.3.1
- AI research evidence record perplexity:4
Independent Sources
- Best AI Content Optimization Tools 2026 : Tested Compared & Ranked: https://wellows.com/blog/best-ai-content-optimization-tools/
- Best AI Content Optimization and AEO Automation Platforms Compared (2026) | Superlines: https://www.superlines.io/articles/ai-content-optimization-aeo-automation-platforms-compared/
Additional AI research evidence60 records
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record perplexity:3
- AI research evidence record openai:c2
- AI research evidence record perplexity:3
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record google:1.3.5
- AI research evidence record openai:c5
- AI research evidence record perplexity:4
- AI research evidence record perplexity:6
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:2-2
- AI research evidence record anthropic:9-2
- AI research evidence record anthropic:9-1
- AI research evidence record perplexity:4
- AI research evidence record openai:c6
- AI research evidence record openai:c7
- AI research evidence record google:1.3.1
- AI research evidence record google:1.3.2
- AI research evidence record openai:c4
- AI research evidence record google:1.3.5
- AI research evidence record grok:1
- AI research evidence record google:1.3.1
- AI research evidence record openai:c2
- AI research evidence record openai:c6
- AI research evidence record google:1.3.3
- AI research evidence record perplexity:2
- AI research evidence record google:3.1.1
- AI research evidence record perplexity:4
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record google:1.3.2
- AI research evidence record google:2.1.4
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record google:1.3.5
- AI research evidence record openai:c5
- AI research evidence record grok:1
- AI research evidence record openai:c6
- AI research evidence record google:1.3.3
- AI research evidence record openai:c8
- AI research evidence record google:1.3.1
- AI research evidence record openai:c2
- AI research evidence record perplexity:2
- AI research evidence record perplexity:4
- AI research evidence record google:3.1.1
- AI research evidence record openai:c9
- AI research evidence record google:1.3.1
- AI research evidence record openai:c2
- AI research evidence record google:3.1.1
- AI research evidence record anthropic:10-3
- AI research evidence record anthropic:12-7
- AI research evidence record anthropic:37-2
- AI research evidence record kimi:citingly_pricing
- AI research evidence record kimi:citedintel_workflow
- AI research evidence record kimi:clearcited_methodology
- AI research evidence record google:1.3.1
- AI research evidence record perplexity:4
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
- 31
- Ranking mentions
- 2 of 7
- Platform share
- 29%
- Final consensus rank
- #5
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
2 independent · 29 company-owned
Evidence support
24 direct · 7 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 3238f2aeed60b64ebbb88c5ac9a8020ccb191fff17bb58a7a162ca1d31f1ac0f