Answer Capsule
Citation Intelligence is a good fit for high-ticket U.S. businesses that want a managed AEO/GEO agency combining citation monitoring with hands-on execution, but it is a weak fit for buyers who need published pricing, self-serve dashboards, or independently audited outcomes. Three of seven platforms named Citation Intelligence during the ranking stage — grok, kimi, and perplexity — a 42.9% share of included platform responses, with an average listed rank of 5.7 and a best rank of 3. The strongest reason to consider it is its explicit combination of citation intelligence and practical GEO execution for premium verticals. The main limitation is that nearly all public evidence is company-reported, with no verified pricing or contract terms.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 3 of 7 platforms (grok, kimi, perplexity) |
| Share of included platform responses | 42.9% |
| Average listed rank | 5.7 |
| Best listed rank | 3 (kimi) |
| Relevant product/model/plan | AEO Service / Citation Intelligence AEO Agency Services |
| Overall use-case fit | Good, conditional on verifying pricing, contract terms, platform coverage, and measurement methodology |
| Research date | 2026-09-18 |
Why Citation Intelligence Qualified for This Study
Questions This Section Answers
- Is Citation Intelligence a good choice for AI Search Partners for Citation Intelligence and GEO Strategy?
- Why did only three of seven AI platforms name Citation Intelligence in the ranking stage?
Citation Intelligence qualified because its stated service directly matches the buyer's dual requirement: citation intelligence plus practical GEO execution. The company positions itself as an AEO agency engineering "LLM citation dominance" — defined as making ChatGPT, Claude, Perplexity, and Google AI Overviews consistently cite and recommend a business [1]. It states that it audits AI-platform responses, maps competitor citations, and tracks citation frequency, sentiment, competitive positioning, and pipeline attribution [2].
It cleared the study's two-mention minimum with three ranking-stage mentions, from grok, kimi, and perplexity. The remaining four platforms — openai, anthropic, deepseek, and google — evaluated fit but did not name the entity during ranking discovery, so their fit ratings appear in this review without a corresponding ranking placement.
The qualification is not unanimous. Kimi rated the fit "uncertain," noting that search results for the brand primarily returned competitors such as Citare, Cited, and AI Citation Monitor, suggesting limited independent coverage or brand recognition [4]. That is a signal about public evidence, not about service quality.
The Product, Model, Plan, or Service Most Relevant to AI Search Partners for Citation Intelligence and GEO Strategy
Questions This Section Answers
- Which Citation Intelligence service should a buyer choose for citation intelligence and GEO strategy?
- Is Citation Intelligence a self-serve platform or a managed agency service?
The relevant offering is a managed agency service, not a software subscription. Platforms labeled it "AEO Service," "AEO Agency Services for high-ticket industries," and "Citation Intelligence AEO Agency Services" [7].
The stated method runs through four phases: Signal Audit, Entity Architecture, Citation Engineering, and Dominance Monitoring [13]. Supporting work includes entity architecture, structured data, knowledge-graph work, citation-engineered content, crawler-behavior analysis, and RAG-pattern analysis [7]. For commercial construction clients, the company describes encoding project portfolios, bonding capacity, safety records (EMR, TRIR), and green certifications (LEED) into JSON-LD schema [15].
The company describes a deliberately small client roster with senior-level strategy on every engagement [16]. One platform noted that the exact scope of "AEO Service" versus any separate Citation Monitor or intelligence product is unclear from public pages [7]. Buyers should confirm which deliverables are included before assuming a bundled monitoring product exists.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Citation Intelligence does well for citation intelligence and GEO strategy?
- Does Citation Intelligence cover all major AI answer platforms?
Platforms agreed on four points, though the agreement rests heavily on company-owned sources.
First, the service combines monitoring with execution rather than offering only a dashboard [18]. Second, the target market is high-ticket verticals: B2B construction and manufacturing, IVF and fertility, cosmetic surgery, dental implants, private aviation, luxury real estate, boutique hospitality, and private-equity portfolios [18]. Third, the company states coverage of major AI answer platforms — ChatGPT, Claude, Perplexity, Google AI Overviews or AI Mode, Gemini, and Microsoft Copilot [24]. Fourth, the operating model is boutique and senior-led [26].
The company also states that it serves industries where a single AI recommendation can be worth six or seven figures in revenue [28]. This is a company-reported positioning claim, not an independently validated outcome.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Why did AI platforms disagree about Citation Intelligence's fit for GEO strategy?
- Is Citation Intelligence's platform coverage five or six AI platforms?
Fit ratings diverged sharply. Anthropic and grok rated the fit "strong"; openai, deepseek, and google rated it "good"; perplexity rated it "mixed"; and kimi rated it "uncertain." No platform rated it poor, but only two of seven treated it as a top-tier match.
Three specific conflicts surfaced.
Platform count. The home page describes visibility across five major AI platforms, while the About page describes six monitored platforms and names six [30]. Buyers should confirm the exact reporting scope in writing.
GEO terminology. Perplexity found that the site clearly discusses AEO and citation-oriented optimization but that "GEO strategy" is not explicitly verified in the collected public sources, making GEO support inferred rather than documented [32].
Evidence quality. Multiple platforms flagged that public evidence is largely self-reported, with no independently verified customer outcomes, audited citation gains, or platform-specific causal attribution [30]. Kimi went further, stating that Citation Intelligence's website could not be fully parsed in search results and that specific service details, engine coverage, and pricing remain unverified [38].
One platform also noted that Citation Intelligence's client-capacity constraint — "a handful of clients at a time" — is stated but not quantified, leaving unclear whether it is a permanent limitation or a current status [39].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- What citation intelligence and GEO capabilities does Citation Intelligence actually deliver?
- Does Citation Intelligence track competitor citations and share of voice?
The stated capability set maps closely to the buyer's four-part question about which sources influence AI answers, which sources drive competitor citations, how citation architecture compares with competitors, and what changes would improve authority.
Citation intelligence. The company states it audits AI-platform responses, maps competitor citations, and reports citation frequency, sentiment, competitive positioning, and pipeline attribution [40]. It reports five named metrics: Citation Rate, Share of Voice, Brand Sentiment, Platform Coverage, and Citation-to-Conversion attribution [42].
GEO execution. Stated work includes entity architecture, structured data, knowledge-graph development, citation-engineered content, crawler-behavior analysis, and RAG-pattern analysis [40]. Citation Engineering is described as building trust signals through source authority, freshness, consensus, and extractable answer formatting [44].
Competitive comparison. The company states it tracks competitor positioning and provides a live dashboard for citations, mentions, and competitor comparisons [45].
Portfolio deployment. For private-equity firms, the company states the CI Method can be deployed across multiple portfolio holdings simultaneously [46].
Two capability gaps were flagged. Anthropic found no public evidence of off-site citation signals such as Reddit execution, community seeding, or press placement [47]. Kimi found no documented API, MCP server, or workflow-automation capabilities, unlike competitors such as Citare and GEOCitation.io [48].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Citation Intelligence cost per month, and are there setup or cancellation fees?
- What contract terms and liability limits apply to a Citation Intelligence engagement?
No public service price, package price, minimum engagement, or rate card was identified on the reviewed official pages [50]. The site directs prospects to request an analysis or strategy call. One platform noted a complimentary baseline citation audit is available on request [55].
For context only, independent industry benchmarks cited by platforms put GEO pilots at roughly $3,500 per month on a nine-week minimum and retainers at $5,000 or more per month on three-month minimums [56], with setup and onboarding fees commonly ranging from $2,500 to $12,000 or more [57]. These are market benchmarks, not Citation Intelligence rates.
The company's terms page states that service scope, deliverables, timelines, pricing, and payment terms are defined in individual client agreements (official:C2). The same page caps total aggregate liability at the fees paid in the twelve months preceding a claim, requires good-faith negotiation for thirty days before binding arbitration, and sets arbitration in Texas under American Arbitration Association rules (official:C2). Confidentiality obligations survive termination for two years (official:C2).
Unresolved cost questions include whether implementation, content production, digital PR, third-party placements, software access, analytics integration, or multi-brand portfolio coverage carry separate fees [50]. Minimum term, renewal mechanics, cancellation rights, notice period, and ownership of deliverables remain unclear from reviewed public pages [50].
Best Suited For
Questions This Section Answers
- Which types of companies get the most value from Citation Intelligence for GEO strategy?
Citation Intelligence is best suited to established, high-ticket U.S. businesses where a single AI recommendation carries material commercial weight. Named verticals include commercial construction and specialty manufacturing, IVF and fertility clinics, cosmetic surgery and dental implant practices, private aviation, luxury real estate, boutique hospitality, and private-equity portfolios [58].
It also suits buyers who want senior-led strategy and implementation rather than a dashboard alone, and who value practical execution alongside citation monitoring [58]. Private-equity firms seeking to deploy AI visibility as a value-creation lever across multiple holdings are a stated fit [62].
Buyers comfortable vetting a niche provider with limited public pricing and contract detail are a better match than those who require published rate cards before outreach [63].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Citation Intelligence for AI Search Partners for Citation Intelligence and GEO Strategy?
The company states its service is not designed for SaaS startups seeking product-led growth, e-commerce brands optimizing for AI shopping features, or firms looking purely for traditional SEO [64]. Platforms independently echoed this: SMBs seeking low-cost software or published subscription pricing, organizations requiring independently audited performance data, and industries outside the stated specialization are poor fits [65].
Buyers needing self-service citation dashboards across five or more AI engines, real-time share-of-voice benchmarking, API-first integrations, or transparent per-engine tracking with sample sizes and confidence intervals should look at platform-based tools instead [69].
Regulated fintech, healthcare, or legal firms requiring SOC 2 compliance or multi-region delivery infrastructure should note that no public evidence of SOC 2 certification or FDA/SEC regulatory expertise was found [66].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Citation Intelligence for a buyer who needs published pricing or self-serve citation tracking?
- When should a buyer pair Citation Intelligence with a separate citation-monitoring platform?
Several alternatives were named by platforms for specific buyer situations.
For enterprise and regulated industries needing technical depth and measurement rigor, iPullRank and Marcel Digital were named [72]. For content-authority-driven brands in finance, consumer, and professional services, Siege Media and First Page Sage were named, with First Page Sage ranking highest in an industrial GEO agency evaluation [74]. For buyers needing full-funnel support including paid media, social, creative, and CRO, Unified Platforms, NoGood, or Tinuiti were suggested [72].
For self-serve citation monitoring with published pricing, Citare, Cited, and AI Citation Monitor were named, with entry pricing cited at $49 per month for one brand at AI Citation Monitor and a free tier at Citare [77]. For API-first workflows, GEOCitation.io provides an API for n8n workflows and Claude Code agents [81].
One platform recommended a combination approach: pair a citation-monitoring platform with a specialist agency when the buyer needs independent measurement plus hands-on implementation [82]. That structure directly addresses the evidence gap this review identifies.
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Citation Intelligence before signing a contract?
The platforms converged on a consistent verification list. Buyers should confirm:
- Total fee, billing cadence, minimum term, renewal policy, and cancellation notice period [83].
- Which platforms, models, regions, languages, prompt sets, and citation types are included in recurring reporting, and whether coverage is five or six platforms [83].
- Whether reporting distinguishes brand mentions, recommendations, linked citations, source prominence, sentiment, and qualified AI-attributed leads [83].
- How prompts are selected, refreshed, randomized, and validated against real buyer queries [83].
- What specific deliverables are included: technical changes, schema, content, digital PR, reviews, third-party placements, and off-site authority work [83].
- Who owns newly created content, data, dashboards, schemas, and third-party accounts after termination [83].
- How pipeline attribution is measured and what access or integrations the buyer must provide [83].
- Whether anonymized case studies with baseline, methodology, time period, citation changes, and business outcomes can be provided [83].
- What happens when AI-platform behavior changes or citations fluctuate [83].
- For private-equity portfolios, how brands, domains, reporting, access controls, and fees are handled across multiple holdings [83].
- Whether the agency publishes content updates directly or only provides recommendations for internal developers [87].
- Whether GEO strategy is a defined service line or only part of AEO implementation [88].
Final AI Consensus Verdict
Citation Intelligence is a good, conditional fit for AI Search Partners for Citation Intelligence and GEO Strategy. It was named by three of seven platforms during ranking discovery — grok, kimi, and perplexity — with an average listed rank of 5.7 and a best rank of 3. Fit ratings ranged from strong (anthropic, grok) to good (openai, deepseek, google) to mixed (perplexity) to uncertain (kimi).
The case for it rests on genuine alignment: a managed service that combines citation monitoring with entity architecture, structured data, and content execution, aimed at high-ticket verticals where AI recommendations carry real commercial weight [89]. The case against it rests on evidence quality: no published pricing, no public case studies, inconsistent platform-count language, and a public footprint dominated by company-owned sources rather than independent validation [89].
Buyers in the stated verticals who want a boutique, senior-led partner should shortlist it and verify pricing, contract terms, exact platform coverage, measurement methodology, deliverable ownership, and independently supportable outcomes before signing. Buyers who need published pricing, self-serve analytics, or audited benchmarks should evaluate platform tools or larger agencies in parallel. AI-platform agreement here reflects directional alignment across models, not proof of product quality or guaranteed citation, lead, or revenue outcomes.
How This Review Was Produced
This review synthesizes fit-research responses from seven AI platforms — openai, anthropic, deepseek, grok, perplexity, kimi, and google — each evaluating Citation Intelligence against the use case "AI Search Partners for Citation Intelligence and GEO Strategy." The study date is 2026-09-18. Three platforms named the entity during ranking discovery; all seven produced fit assessments. Rankings, fit ratings, and capability findings are reported as the platforms supplied them. Company-owned sources were distinguished from independent sources throughout, and no claim was upgraded beyond the support strength recorded in the source catalog.
Methodology Limitations
Several limitations constrain this review.
Company-owned citations materially outnumber independent citations in the source set. Most capability claims trace to citationintelligence.com pages, so they are company-reported rather than independently verified.
Platform-reported research dates differ from the authoritative run date. Deepseek's response carries a research date of 2026-06-11, while the run date is 2026-09-18. 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 and should be treated as platform-reported.
The supplied URLs were collected from platform responses and were not independently validated at the writing stage.
Pricing, minimum contract length, cancellation terms, and deliverable ownership were not publicly verified. No public case studies, client list, or measurable outcomes were located.
The home page and About page describe different platform counts, and the exact scope of AEO Service versus any separate monitoring product is unclear.
Kimi reported that Citation Intelligence's website could not be fully parsed in search results and that searches for the brand primarily returned competitors, which limits confidence in the completeness of the public evidence base.
AI citations and recommendations are probabilistic. Nothing in the reviewed material establishes guaranteed visibility, citations, leads, or revenue.
Explore more ai search geo agencies guidance in the category directory.
Sources
Company-Owned Sources
- Generative Engine Optimization Tool (GEO Software: https://aicitationmonitor.com/generative-engine-optimization-tool
- Generative Engine Optimization Pricing | Citant.ai: https://citant.ai/pricing/
- Citation Intelligence — AI Citation Dominance: https://citationintelligence.com/
- About Citation Intelligence — US-Based AEO Agency: https://citationintelligence.com/about/
- AEO Agency Services - Citation Intelligence: https://citationintelligence.com/aeo-agency-services/
- AEO for Commercial Construction Pricing: https://citationintelligence.com/aeo-for-commercial-construction
- AEO Service - Citation Intelligence FAQ: https://citationintelligence.com/aeo-service
- AEO Service - Citation Intelligence: https://citationintelligence.com/aeo/
- Citation Source Intelligence — what it is and the three layers | GEO Tracker AI Docs: https://geotrackerai.com/docs/concepts/citation-source-intelligence
- Citations Intelligence — Sources Behind AI Answers | Viali: https://viali.ai/product/citations-source-intelligence/
- Citare — AI search intelligence + full SEO suite | GEO platform for modern teams: https://www.citare.ai/
- How Citare works — Brand Radar, Site Explorer, Rank Tracker, Site Audit (2026: https://www.citare.ai/how-it-works
- Cited for Enterprise | AI Search Visibility Across Markets: https://www.citedintel.com/for/enterprise
- Why Cited | The GEO Platform Built on Evidence: https://www.citedintel.com/why-cited
- The AI Citability API for SEO/GEO Pros | GEOCitation.io: https://www.geocitation.io/en
- Official pricing and terms source: https://citationintelligence.com/terms/
Additional AI research evidence93 records
- AI research evidence record anthropic:2-14
- AI research evidence record openai:ci_home
- AI research evidence record openai:ci_about
- AI research evidence record kimi:citare-1
- AI research evidence record kimi:cited-1
- AI research evidence record kimi:aicitationmonitor-1
- AI research evidence record openai:ci_home
- AI research evidence record anthropic:2-1
- AI research evidence record grok:web:0
- AI research evidence record deepseek:ci-aeo
- AI research evidence record perplexity:c1
- AI research evidence record google:1.4.4
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:2-10
- AI research evidence record google:3.3.3
- AI research evidence record anthropic:2-12
- AI research evidence record anthropic:2-13
- AI research evidence record openai:ci_home
- AI research evidence record anthropic:2-14
- AI research evidence record deepseek:ci-aeo
- AI research evidence record grok:web:0
- AI research evidence record anthropic:2-1
- AI research evidence record google:1.4.6
- AI research evidence record google:1.4.5
- AI research evidence record anthropic:19-10
- AI research evidence record anthropic:2-12
- AI research evidence record anthropic:2-13
- AI research evidence record anthropic:2-2
- AI research evidence record google:1.4.4
- AI research evidence record openai:ci_home
- AI research evidence record openai:ci_about
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:2-1
- AI research evidence record deepseek:ci-home
- AI research evidence record grok:web:0
- AI research evidence record kimi:citare-1
- AI research evidence record anthropic:2-12
- AI research evidence record openai:ci_home
- AI research evidence record openai:ci_about
- AI research evidence record google:3.1.3
- AI research evidence record anthropic:2-10
- AI research evidence record google:3.3.9
- AI research evidence record grok:web:0
- AI research evidence record google:3.3.2
- AI research evidence record anthropic:2-1
- AI research evidence record kimi:citare-1
- AI research evidence record kimi:geocitation-1
- AI research evidence record openai:ci_home
- AI research evidence record anthropic:2-1
- AI research evidence record deepseek:ci-home
- AI research evidence record grok:web:0
- AI research evidence record perplexity:c1
- AI research evidence record google:3.1.2
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:32-9
- AI research evidence record openai:ci_home
- AI research evidence record anthropic:2-1
- AI research evidence record google:1.4.6
- AI research evidence record anthropic:2-13
- AI research evidence record google:3.3.2
- AI research evidence record perplexity:c1
- AI research evidence record google:3.1.7
- AI research evidence record openai:ci_home
- AI research evidence record anthropic:2-1
- AI research evidence record deepseek:ci-home
- AI research evidence record grok:web:0
- AI research evidence record kimi:citare-1
- AI research evidence record kimi:cited-1
- AI research evidence record kimi:aicitationmonitor-1
- AI research evidence record anthropic:40-1
- AI research evidence record anthropic:40-6
- AI research evidence record anthropic:40-2
- AI research evidence record anthropic:40-7
- AI research evidence record anthropic:44-14
- AI research evidence record kimi:citare-1
- AI research evidence record kimi:citare-2
- AI research evidence record kimi:aicitationmonitor-1
- AI research evidence record kimi:cited-1
- AI research evidence record kimi:geocitation-1
- AI research evidence record openai:ci_home
- AI research evidence record openai:ci_home
- AI research evidence record anthropic:2-1
- AI research evidence record grok:web:0
- AI research evidence record openai:ci_about
- AI research evidence record google:3.1.2
- AI research evidence record perplexity:c1
- AI research evidence record openai:ci_home
- AI research evidence record anthropic:2-14
- AI research evidence record google:1.4.4
- AI research evidence record anthropic:2-1
- AI research evidence record kimi:citare-1
Independent Sources
- Best AI SEO Services & AEO Agency Selection Guide: https://aeoengine.ai/blog/complete-guide-to-best-ai-seo-services
- AEO Agency Pricing: What $10K-$20K/Month Buys You in AI Visibility & Leads: https://discoveredlabs.com/blog/aeo-agency-pricing-what-10k-20k-month-buys-you-in-ai-visibility-leads
- The Top Industrial GEO/AEO Agencies of 2026: https://firstpagesage.com/seo-blog/the-top-industrial-geo-aeo-agencies/
- Top AEO & GEO Agencies in the United States (2026: https://unifiedplatforms.com/blogs/aeo/top-answer-engine-optimization-aeo-agencies-united-states/
- 10 Best AEO Software Tools for 2026: https://www.hubspot.com/products/aeo/best-aeo-software
- How Do You Pick an AEO Agency That Drives Real Citations?: https://www.theaeoengine.com/blog/aeo-agency
Additional AI research evidence93 records
- AI research evidence record anthropic:2-14
- AI research evidence record openai:ci_home
- AI research evidence record openai:ci_about
- AI research evidence record kimi:citare-1
- AI research evidence record kimi:cited-1
- AI research evidence record kimi:aicitationmonitor-1
- AI research evidence record openai:ci_home
- AI research evidence record anthropic:2-1
- AI research evidence record grok:web:0
- AI research evidence record deepseek:ci-aeo
- AI research evidence record perplexity:c1
- AI research evidence record google:1.4.4
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:2-10
- AI research evidence record google:3.3.3
- AI research evidence record anthropic:2-12
- AI research evidence record anthropic:2-13
- AI research evidence record openai:ci_home
- AI research evidence record anthropic:2-14
- AI research evidence record deepseek:ci-aeo
- AI research evidence record grok:web:0
- AI research evidence record anthropic:2-1
- AI research evidence record google:1.4.6
- AI research evidence record google:1.4.5
- AI research evidence record anthropic:19-10
- AI research evidence record anthropic:2-12
- AI research evidence record anthropic:2-13
- AI research evidence record anthropic:2-2
- AI research evidence record google:1.4.4
- AI research evidence record openai:ci_home
- AI research evidence record openai:ci_about
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:2-1
- AI research evidence record deepseek:ci-home
- AI research evidence record grok:web:0
- AI research evidence record kimi:citare-1
- AI research evidence record anthropic:2-12
- AI research evidence record openai:ci_home
- AI research evidence record openai:ci_about
- AI research evidence record google:3.1.3
- AI research evidence record anthropic:2-10
- AI research evidence record google:3.3.9
- AI research evidence record grok:web:0
- AI research evidence record google:3.3.2
- AI research evidence record anthropic:2-1
- AI research evidence record kimi:citare-1
- AI research evidence record kimi:geocitation-1
- AI research evidence record openai:ci_home
- AI research evidence record anthropic:2-1
- AI research evidence record deepseek:ci-home
- AI research evidence record grok:web:0
- AI research evidence record perplexity:c1
- AI research evidence record google:3.1.2
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:32-9
- AI research evidence record openai:ci_home
- AI research evidence record anthropic:2-1
- AI research evidence record google:1.4.6
- AI research evidence record anthropic:2-13
- AI research evidence record google:3.3.2
- AI research evidence record perplexity:c1
- AI research evidence record google:3.1.7
- AI research evidence record openai:ci_home
- AI research evidence record anthropic:2-1
- AI research evidence record deepseek:ci-home
- AI research evidence record grok:web:0
- AI research evidence record kimi:citare-1
- AI research evidence record kimi:cited-1
- AI research evidence record kimi:aicitationmonitor-1
- AI research evidence record anthropic:40-1
- AI research evidence record anthropic:40-6
- AI research evidence record anthropic:40-2
- AI research evidence record anthropic:40-7
- AI research evidence record anthropic:44-14
- AI research evidence record kimi:citare-1
- AI research evidence record kimi:citare-2
- AI research evidence record kimi:aicitationmonitor-1
- AI research evidence record kimi:cited-1
- AI research evidence record kimi:geocitation-1
- AI research evidence record openai:ci_home
- AI research evidence record openai:ci_home
- AI research evidence record anthropic:2-1
- AI research evidence record grok:web:0
- AI research evidence record openai:ci_about
- AI research evidence record google:3.1.2
- AI research evidence record perplexity:c1
- AI research evidence record openai:ci_home
- AI research evidence record anthropic:2-14
- AI research evidence record google:1.4.4
- AI research evidence record anthropic:2-1
- AI research evidence record kimi:citare-1
Verify this research
Review the study details behind this page or download the public machine-readable verification record.
- Study date
- September 18, 2026
- Platforms analyzed
- 7
- Source records
- 23
- 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
6 independent · 17 company-owned
Evidence support
20 direct · 3 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 3065f8b7fe1ff66161ad73109e81df0d064548a2218c9eab2a460d26a2191ce7