Answer Capsule
Vercite is a good fit for companies that need scheduled, prompt-level visibility into which URLs and domains AI systems cite, competitor source overlap, and citation changes over time. Two of seven platforms named Vercite during the ranking stage, with an average listed rank of 3.5 and a best rank of 1. The strongest reason to consider it is direct URL-level citation tracking with retrieved-versus-cited distinction and competitor source gap analysis. The main limitation is that Starter is ChatGPT-only, multi-engine entitlements are inconsistently documented, and no independent validation of citation accuracy was identified.
Research Snapshot
| Field | Value |
|---|---|
| Platform mentions in ranking stage | 2 of 7 platforms |
| Share of included platform responses | 28.6% |
| Average listed rank | 3.5 |
| Best listed rank | 1 |
| Relevant product/model/plan | Vercite Citation Tracking Platform; Starter (ChatGPT only) or Professional/higher tiers for multi-engine |
| Overall use-case fit | Good |
| Research date | 2026-09-19 |
Why Vercite Qualified for This Study
Questions This Section Answers
- Is Vercite a good choice for AI Citation Intelligence Platforms for Source and Domain Tracking?
- How many AI platforms named Vercite during the ranking stage, and does that signal broad consensus?
Vercite qualified because it was named by two of the seven platforms included in this study — Anthropic and Kimi — during the ranking stage, meeting the minimum-mention threshold of two. It ranked first on Anthropic's list and sixth on Kimi's, producing an average listed rank of 3.5 and a best listed rank of 1 [1]. That is a narrow mention base: five of seven platforms evaluated fit without naming Vercite in their ranking output, so this review should not be read as broad multi-platform consensus.
The qualification is also substantive rather than nominal. Vercite's citation-tracking product directly addresses the study's four criteria: which domains and pages AI systems rely on, which sources support competitors, how citation patterns differ across platforms and prompts, and how those patterns change over time [3]. The platform states that it records the exact URLs cited by ChatGPT, Gemini, Perplexity, Google AI Overviews, and Google AI Mode, and provides page- and domain-level citation views [3]. It also states that it distinguishes pages retrieved during answer construction from pages that appear as final citations [3].
Company-owned citations materially outnumber independent citations in the supplied evidence. Most product claims trace to vercite.io pages, while independent sources are limited to directory listings and third-party reviews [5]. Buyers should treat capability claims as vendor-reported unless independently confirmed.
The Product, Model, Plan, or Service Most Relevant to AI Citation Intelligence Platforms for Source and Domain Tracking
Questions This Section Answers
- Which Vercite plan should a buyer choose if they need multi-engine citation tracking beyond ChatGPT?
- Does Vercite's Citation Tracking product distinguish retrieved pages from pages that are actually cited?
The relevant product is the Vercite Citation Tracking Platform, sold through Starter and Professional tiers, with agency and custom pricing available on inquiry [7]. Starter is documented as ChatGPT-only, while higher tiers are described as adding Gemini, Perplexity, Google AI Overviews, and Google AI Mode [9].
The core capability set for this use case includes page- and domain-level citation tracking, retrieved-versus-cited analysis, competitor source overlap, citation frequency over time, and direct links to cited sources [12]. Vercite also states that it captures complete real ChatGPT responses, including cited URLs and rendered answer formats, rather than API simulations [13]. That claim is company-reported; no independent source validating real-response capture, source accuracy, or cross-engine coverage was identified in the supplied evidence.
Vercite reports that across 5.31 million citations from five engines, only 9% agreement existed on most-cited domains — 23 of 253 pooled top sources — with 158,847 unique domains classified by type [11]. This is a vendor-reported statistic and should be treated as platform-reported rather than independently established.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Vercite does well for source and domain tracking?
- Is Vercite's citation tracking considered a genuine strength across the platforms that evaluated it?
The strongest area of agreement is that Vercite's citation tracking is genuinely oriented toward sources and domains rather than brand mentions alone. OpenAI, DeepSeek, Perplexity, Kimi, and Google all describe URL- or domain-level citation capture as a core capability [14]. Anthropic's independent directory sources similarly describe citation analysis surfacing the pages cited most in AI responses [19].
A second area of agreement is competitor source comparison. OpenAI, DeepSeek, and Kimi all describe competitor source overlap or citation gap analysis — identifying sources cited for competitors but not for the buyer's brand [14]. This maps directly to the study criterion about which sources support competitors.
A third area is recurring monitoring rather than one-time spot checks. Citations are described as captured on the same recurring schedule as prompt runs, described as daily or three times weekly depending on plan [14]. Perplexity notes that Vercite runs prompts on a repeating schedule and stores the complete response including cited sources and URLs [22].
A fourth area is low setup friction. Vercite states that competitors and queries are auto-suggested from the buyer's niche with no tags, code, or integrations required [23]. Anthropic and Grok both list automated setup as a strength [23].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Where do AI platforms disagree about Vercite's engine coverage and pricing for source and domain tracking?
- Is Vercite's Starter plan really ChatGPT-only, or does it also include Google AI Overview?
The most consequential disagreement concerns Starter engine coverage. OpenAI reports that Vercite's homepage presents public plan information that appears inconsistent with the pricing page regarding Starter engine coverage [25]. Perplexity notes the exact inclusion of engines on Starter is somewhat inconsistent across snippets — ChatGPT only versus ChatGPT plus Google AI Overview — and advises verifying the live pricing page before purchase [26]. Anthropic states the Starter plan is restricted to ChatGPT only and that Professional tier engine coverage is not publicly specified [27]. This is a documentation conflict, not a resolved fact.
Pricing figures also conflict across sources. OpenAI and Google both report Starter at $59/month monthly and Professional at $109/month monthly [29]. Anthropic reports four tiers: Starter 3x/week at $39/month, Starter daily at $59/month, Professional 3x/week at $89/month, and Professional daily at $109/month [27]. Perplexity reports the same four-tier structure with Starter at $39/month for 3x weekly or $59/month daily, and Professional at $89/month for 3x weekly or $109/month daily [26]. Google notes that some third-party comparison portals list outdated figures such as Professional at $99/month instead of $109/month [30]. The frequency-based tier structure appears to reconcile these: the $39 and $89 figures correspond to three-times-weekly cadence, while $59 and $109 correspond to daily.
Fit ratings diverged. DeepSeek, Google, and Grok rated Vercite a strong fit; OpenAI, Perplexity, and Kimi rated it good; Anthropic rated it mixed [31]. Anthropic's lower rating reflects concerns about update cadence, enterprise certifications, and tier clarity rather than citation-tracking capability itself.
Enterprise terms are uncertain across platforms. OpenAI, Anthropic, Perplexity, and Kimi all note that public pages do not clearly state retention periods, export formats, API availability, rate limits, geographic execution controls, or enterprise SLA terms [29]. Anthropic states there is no public evidence of SOC 2, GDPR, CCPA, or RBAC certifications on Vercite's website or review sites, while competitors such as SatelliteAI and Profound publicly declare SOC 2 Type II [37]. Vercite's terms of service do reference GDPR compliance and a Swedish consumer withdrawal right, which is a partial data point but not a certification [39].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does Vercite track citation frequency over time well enough to show how AI source patterns change?
- Can Vercite show which sources support competitors but not my own brand?
Vercite's citation intelligence rests on configured prompts and scheduled runs rather than a complete census of all AI answers. OpenAI notes the platform may not capture every retrieval event or every answer variation outside configured scheduled prompts [40]. Google AI Overviews do not appear for every query, and Vercite states it tracks whether an overview appears [41].
For source and domain identification, Vercite states it records the exact URLs cited by ChatGPT, Gemini, Perplexity, Google AI Overviews, and Google AI Mode, with page- and domain-level views [42]. DeepSeek describes capture of every cited URL per tracked run, resolved to both domain and page level, with links to the actual page the engine pulled from [43].
For retrieved-versus-cited distinction, Vercite states the citation-tracking feature separates pages retrieved during answer construction from pages that appear as final citations [42]. Kimi describes this as an explicit mention-versus-citation distinction: a brand can be mentioned without being cited, and cited without being named [44].
For competitor source intelligence, Vercite states buyers can compare sources cited for competitors with sources cited for their own brand and identify citation gaps [42]. Kimi adds that any tracked brand or domain gets an equivalent citation breakdown for direct comparison, with shared versus unique source analysis [44].
For cross-platform comparison, Vercite presents citation results by engine and states that citation patterns differ across engines [42]. Higher-tier plans are described as adding Gemini, Perplexity, Google AI Overviews, and Google AI Mode beyond ChatGPT [45].
For change tracking over time, citations are captured on the same recurring schedule as prompt runs — daily or three times weekly depending on plan — allowing source-frequency and citation-trend monitoring across runs [42]. Kimi describes tracking citation frequency per source over a rolling 30-day window with trend comparison to the previous period, and monitoring whether sources still resolve [44]. Vercite also offers an AI volatility view comparing changes in citations and source domains over time, though its public description says the comparison uses prompts run by Vercite customers rather than a fixed research panel [46].
Anthropic notes that Vercite includes tone-of-voice analysis with sentiment ratings and perceived attributes generated by AI analysis rather than literal quotes from responses [47]. This is adjacent to citation intelligence rather than central to it.
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Vercite cost per month for daily versus three-times-weekly citation tracking?
- Are there setup fees, overage charges, or cancellation penalties on Vercite plans?
Public pricing is frequency-based. OpenAI and Google report Starter at $59/month billed monthly with 30 prompts, 3 competitors, 1 brand, and 1 team member, and Professional at $109/month billed monthly with 70 prompts, 50 competitors, 5 brands, and 3 team members [49]. Anthropic and Perplexity report a four-tier structure that adds three-times-weekly options: Starter 3x/week at $39/month, Starter daily at $59/month, Professional 3x/week at $89/month, and Professional daily at $109/month [51]. The two structures are consistent if the $59 and $109 figures correspond to daily cadence.
Displayed prices exclude VAT [49]. A 7-day free trial is advertised, and a free demo offers up to 5 full analysis runs with stated limits of 1 brand, 1 competitor, 2 tags, and 10 queries [49]. Annual billing is advertised as saving 12% [49].
Contract terms: the public pricing page states subscriptions can be cancelled at any time with access continuing through the current billing period, and plan changes are prorated to the current billing cycle [49]. Vercite's terms of service state that paid subscriptions can be monthly or annual, auto-renew, can be canceled at term end, and are non-refundable except where required by law [54]. No minimum contract term was identified [49].
Uncertain costs: agency and custom pricing, additional scale, and any overage or add-on fees are unclear from the reviewed public pages [49]. DeepSeek notes it is unclear whether overage or per-prompt fees apply beyond plan limits [56]. Kimi notes no public pricing was found in its accessible materials and that a competitor, Cite AI, claims Vercite pricing is opaque — a competitor-sourced and unverified characterization [57].
Pricing confidence varies by platform: OpenAI rated it moderate, Anthropic low, DeepSeek low, Grok low, Perplexity moderate, Kimi low, and Google high [49]. The spread reflects documentation inconsistency rather than confirmed price differences.
Best Suited For
Questions This Section Answers
- Who gets the most value from Vercite for source and domain tracking?
- Is Vercite a good fit for a small in-house team tracking one brand against competitors?
Vercite is best suited to in-house marketing, SEO, GEO, and content teams tracking one to several brands against competitors [58]. Perplexity notes the Starter and Professional plans are built for in-house teams tracking a single brand against competitors, while agencies can manage multiple brands and export reports [59].
It fits teams prioritizing exact cited URLs, cited domains, source gaps, competitor overlap, and recurring trend monitoring [58]. It also fits buyers willing to use platform-reported measurements from live AI and search responses [62].
Anthropic adds that Vercite suits small brands or bootstrapped teams piloting AI visibility with ChatGPT-only needs and tight budget constraints, and teams prioritizing tone-of-voice and sentiment analysis alongside citation tracking [63]. Grok frames the fit as US companies monitoring AI citation patterns across engines and tracking domain-level citation sources and competitor source support [65].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Vercite for AI Citation Intelligence Platforms for Source and Domain Tracking?
- Is Vercite unsuitable for enterprises that require SOC 2 or GDPR certification as a baseline?
Vercite is probably not the best fit for organizations requiring independently audited citation data or clearly documented methodology beyond vendor materials [66]. No independent validation of citation accuracy, completeness, or reproducibility was identified in the supplied evidence.
It is also a weaker fit for large enterprises needing published enterprise SLAs, compliance commitments, extensive workflow integrations, or high-volume custom coverage [68]. Anthropic states there is no public evidence of SOC 2, GDPR, CCPA, or RBAC certifications on Vercite's website or review sites, while competitors such as SatelliteAI and Profound publicly declare SOC 2 Type II [69]. Vercite's terms reference GDPR compliance and a Swedish consumer withdrawal right, but that is not the same as a certification [71].
Buyers needing stable access to every supported engine under the lowest-cost plan should also look elsewhere, since Starter is documented as ChatGPT-only [72]. Anthropic adds that enterprises requiring daily citation monitoring across five or more AI engines, or the used-versus-cited source distinction as a hard requirement, may find Vercite insufficient [67]. Kimi notes Vercite does not offer a single aggregated authority score by design, which may disappoint buyers who want one number rather than granular source analysis [74].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Vercite if I need daily multi-engine tracking across five or more AI engines?
- Which alternative should a buyer choose if SOC 2 Type II compliance is a purchase requirement?
Anthropic recommends Peec AI, Profound, SatelliteAI, or Slate when the buyer requires daily multi-engine citation tracking across five or more engines [75]. It recommends Peec AI at $99–$299/month entry when the buyer prioritizes used-versus-cited source distinction to understand the influence-versus-attribution gap [77]. It recommends SatelliteAI, Profound, or Slate when SOC 2 Type II or GDPR compliance is a baseline requirement [78]. It recommends ALLMO, Similarweb, or Omnia when URL-level Influence Score or domain authority ranking is needed for PR or link-building workflows [80]. It recommends Profound or Slate for enterprise custom pricing with multiple seats, API, and white-label options [76].
Kimi recommends Cite AI, Truffle, or Cited when immediate full multi-engine coverage is needed without tier negotiation, and notes Cite AI publishes plans starting at $19/month with all six engines on every plan [81]. Kimi also notes Cited Enterprise and Truffle cover Claude and Grok, which Vercite does not indicate as supported engines [83]. DeepSeek notes buyers needing Claude or Grok tracking out of the box should look elsewhere [84].
OpenAI recommends another platform when independent benchmarking, published data methodology, enterprise security documentation, or contractual SLAs are mandatory, and a higher-scale enterprise vendor when the buyer needs many brands, substantially larger prompt volumes, extensive integrations, or formal support commitments [85]. Perplexity recommends another platform when clearly documented enterprise security or compliance controls, SSO, or custom SLAs are needed before buying [87].
For a broader view of how Vercite compares with other platforms evaluated in this study, see the AI Citation Intelligence Platforms for Source and Domain Tracking consensus index.
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Vercite about engine coverage and pricing before signing a contract?
- Does Vercite's Starter plan include Google AI Overview, or is it ChatGPT-only?
The platforms surfaced a consistent verification list. Confirm whether Starter actually includes Google AI Overview or is ChatGPT-only, since the pricing page and homepage conflict on this point [88]. Confirm which exact engines, models, locales, devices, and search-result conditions are included in the selected plan [90].
Confirm whether cited URLs are captured for every engine on every run, and how inaccessible, duplicated, redirected, or uncited retrieved pages are handled [92]. Confirm whether the buyer can export raw answers, citation URLs, domains, timestamps, prompt results, and historical data [90]. Confirm the data-retention period, API limits, integrations, security controls, and SLA commitments [90].
Confirm whether overage charges apply for prompts, brands, competitors, team members, or additional analysis runs [90]. Confirm how Google AI Overviews are handled when no overview is generated for a query [95]. Confirm whether the buyer can separate branded, non-branded, competitor, geographic, language, and transactional prompt sets [90].
Anthropic adds: confirm the update lag for each engine and whether it varies by plan tier; confirm whether Vercite supports used-versus-cited source distinction or reports only explicitly cited URLs; confirm the methodology for classifying domain types as media, competitor, forum, or owned; and confirm whether the platform includes citation verification or only citation monitoring [91]. Kimi adds: confirm how citation capture handles engines that do not expose citations in standard output format, and how Vercite handles engines' evolving citation formats and transparency policies [93].
Final AI Consensus Verdict
Vercite is a good fit for AI Citation Intelligence Platforms for Source and Domain Tracking when the buyer values practical URL-level citation discovery, competitor source comparison, and recurring multi-engine monitoring. Two of seven platforms named it during the ranking stage, with an average listed rank of 3.5 and a best rank of 1. Fit ratings ranged from strong (DeepSeek, Google, Grok) to good (OpenAI, Perplexity, Kimi) to mixed (Anthropic), reflecting genuine disagreement about tier clarity, update cadence, and enterprise readiness rather than about citation-tracking capability.
Treat Vercite as a vendor-reported measurement platform. Verify Starter coverage and enterprise terms before purchase, and consider another option when independent validation, large-scale governance, or formal enterprise commitments are essential. The platform's citation intelligence is based on configured prompts and scheduled runs, not a complete census of all AI answers or all possible user queries [97].
How This Review Was Produced
This review was produced from seven platform fit-research responses collected on 2026-09-19, the study research date. Each platform evaluated Vercite against the use case of AI Citation Intelligence Platforms for Source and Domain Tracking. Two platforms — Anthropic and Kimi — named Vercite during the ranking stage, meeting the minimum-mention threshold of two. The remaining five platforms evaluated fit without naming Vercite in their ranking output.
Platform-reported research dates are provenance metadata and do not independently prove freshness. The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Citations are platform-reported evidence, not independently verified facts. Company-owned citations materially outnumber independent citations in the supplied evidence, so company claims are described as vendor-reported rather than independently established.
Methodology Limitations
Platform mentions count only platforms that named Vercite during ranking discovery, not all platforms that evaluated fit. A two-of-seven mention base is narrow and should not be read as broad consensus. Fit ratings are platform opinions, and agreement among AI platforms does not prove product quality.
Several material conflicts remain unresolved. Starter engine coverage is inconsistent across Vercite's own pages [98]. Pricing is reported in two structures — a two-tier daily structure and a four-tier frequency structure — that appear reconcilable but are not explicitly reconciled by any source [100]. Enterprise terms, retention periods, export formats, API availability, and SLA commitments are not clearly disclosed on public pages [100].
No independent source validating Vercite's claims about real-response capture, source accuracy, or cross-engine coverage was identified. The 9% cross-engine domain agreement statistic and the 158,847 classified domains figure are vendor-reported [103]. The research year is 2026, and public pricing and feature pages may change; quoted figures were visible during the research date.
Explore more ai visibility llm monitoring guidance in the category directory.
Sources
Company-Owned Sources
- Indexly | AI Citation Tracking by Indexly: https://indexly.ai/features/ai-citation-tracker
- AI Source Tracking — Rankr: https://rankr.so/features/source-tracking
- AI Citation Tracking — Sources ChatGPT, Perplexity cite · Truffle: https://runtruffle.com/features/citation-tracking
- AI Citation Tracking Tools: The Complete 2026 Landscape (Monitoring vs. Verification) | SatelliteAI: https://satelliteai.io/ai-citation-tracking
- Cite AI — See Which Businesses AI Recommends in Your Market: https://usecite.ai/
- Monitor Your Brand in AI Search - Vercite: https://vercite.io/
- We are building the future of AI brand visibility - Vercite: https://vercite.io/about
- ChatGPT brand tracking for AI visibility - Vercite: https://vercite.io/ai-engines/chatgpt
- Google AI Overview tracking for AI visibility - Vercite: https://vercite.io/ai-engines/google-ai-overviews
- Perplexity brand tracking for AI visibility - Vercite: https://vercite.io/ai-engines/perplexity
- Free AI Volatility Tracker - Vercite: https://vercite.io/ai-volatility
- AI citation tracking: see every cited source - Vercite: https://vercite.io/features/citation-tracking
- AI prompt tracking: every engine, every mention - Vercite: https://vercite.io/features/prompt-tracking
- AI Industry Research - Vercite: https://vercite.io/industry
- How to improve AI visibility with AEO & GEO - Vercite: https://vercite.io/optimize-ai-visibility
- Pricing: Plans & Features - Vercite: https://vercite.io/pricing
- Privacy Policy - Vercite: https://vercite.io/privacy
- Terms of Service - Vercite: https://vercite.io/terms
- Citation Analytics - Track Which Sources AI Engines Trust | DemandSphere: https://www.demandsphere.com/platform/demandmetrics-genai/citation-analytics/
- Cited | AI Search Optimization Platform: https://www.getcited.in/
- Source Intelligence | Cited: https://www.getcited.in/features/source-intelligence
- Official pricing and terms source: https://vercite.io/#pricing
Additional AI research evidence103 records
- AI research evidence record anthropic:28-1
- AI research evidence record kimi:vercite-citation-tracking
- AI research evidence record openai:c1
- AI research evidence record deepseek:c2
- AI research evidence record anthropic:37-14
- AI research evidence record perplexity:c6
- AI research evidence record openai:c7
- AI research evidence record perplexity:c2
- AI research evidence record openai:c2
- AI research evidence record deepseek:c2
- AI research evidence record kimi:vercite-citation-tracking
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record openai:c1
- AI research evidence record deepseek:c2
- AI research evidence record perplexity:c1
- AI research evidence record kimi:vercite-citation-tracking
- AI research evidence record google:1.1.2
- AI research evidence record anthropic:37-14
- AI research evidence record anthropic:38-9
- AI research evidence record openai:c2
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:39-6
- AI research evidence record grok:1
- AI research evidence record openai:c8
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:28-1
- AI research evidence record anthropic:39-16
- AI research evidence record openai:c7
- AI research evidence record google:1.1.1
- AI research evidence record deepseek:c2
- AI research evidence record google:1.1.2
- AI research evidence record grok:1
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record kimi:vercite-citation-tracking
- AI research evidence record anthropic:6-5
- AI research evidence record anthropic:6-24
- AI research evidence record perplexity:c3
- AI research evidence record openai:c5
- AI research evidence record openai:c4
- AI research evidence record openai:c1
- AI research evidence record deepseek:c2
- AI research evidence record kimi:vercite-citation-tracking
- AI research evidence record openai:c2
- AI research evidence record openai:c6
- AI research evidence record anthropic:38-12
- AI research evidence record anthropic:38-13
- AI research evidence record openai:c7
- AI research evidence record google:1.1.1
- AI research evidence record anthropic:28-1
- AI research evidence record perplexity:c2
- AI research evidence record grok:0
- AI research evidence record perplexity:c3
- AI research evidence record kimi:vercite-citation-tracking
- AI research evidence record deepseek:c2
- AI research evidence record kimi:usecite-pricing
- AI research evidence record openai:c1
- AI research evidence record perplexity:c7
- AI research evidence record deepseek:c2
- AI research evidence record kimi:vercite-citation-tracking
- AI research evidence record openai:c3
- AI research evidence record anthropic:28-1
- AI research evidence record anthropic:38-12
- AI research evidence record grok:1
- AI research evidence record openai:c1
- AI research evidence record anthropic:28-1
- AI research evidence record openai:c7
- AI research evidence record anthropic:6-5
- AI research evidence record anthropic:6-24
- AI research evidence record perplexity:c3
- AI research evidence record openai:c2
- AI research evidence record deepseek:c2
- AI research evidence record kimi:vercite-citation-tracking
- AI research evidence record anthropic:6-21
- AI research evidence record anthropic:6-25
- AI research evidence record anthropic:24-7
- AI research evidence record anthropic:6-5
- AI research evidence record anthropic:6-24
- AI research evidence record anthropic:28-1
- AI research evidence record kimi:usecite-pricing
- AI research evidence record kimi:truffle-features
- AI research evidence record kimi:getcited-main
- AI research evidence record deepseek:c2
- AI research evidence record openai:c7
- AI research evidence record openai:c9
- AI research evidence record perplexity:c2
- AI research evidence record openai:c8
- AI research evidence record perplexity:c2
- AI research evidence record openai:c7
- AI research evidence record anthropic:28-1
- AI research evidence record openai:c1
- AI research evidence record kimi:vercite-citation-tracking
- AI research evidence record deepseek:c2
- AI research evidence record openai:c4
- AI research evidence record anthropic:9-1
- AI research evidence record openai:c5
- AI research evidence record openai:c8
- AI research evidence record perplexity:c2
- AI research evidence record openai:c7
- AI research evidence record anthropic:28-1
- AI research evidence record google:1.1.1
- AI research evidence record kimi:vercite-citation-tracking
Independent Sources
- Vercite Reviews 2026: Details, Pricing, & Features: https://aitoptools.com/tool/vercite/
- Vercite Reviews in 2026: https://sourceforge.net/software/product/Vercite/
- Top 8 AI Citation Tracking Tools in 2026: https://wrodium.com/blogs/top-8-ai-citation-tracking-tools-in-2026
- Best AI Citation Tracking Tools for AI Visibility (2026: https://www.therankmasters.com/insights/ai-visibility/best-ai-visibility-tools-citation-tracking
Additional AI research evidence103 records
- AI research evidence record anthropic:28-1
- AI research evidence record kimi:vercite-citation-tracking
- AI research evidence record openai:c1
- AI research evidence record deepseek:c2
- AI research evidence record anthropic:37-14
- AI research evidence record perplexity:c6
- AI research evidence record openai:c7
- AI research evidence record perplexity:c2
- AI research evidence record openai:c2
- AI research evidence record deepseek:c2
- AI research evidence record kimi:vercite-citation-tracking
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record openai:c1
- AI research evidence record deepseek:c2
- AI research evidence record perplexity:c1
- AI research evidence record kimi:vercite-citation-tracking
- AI research evidence record google:1.1.2
- AI research evidence record anthropic:37-14
- AI research evidence record anthropic:38-9
- AI research evidence record openai:c2
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:39-6
- AI research evidence record grok:1
- AI research evidence record openai:c8
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:28-1
- AI research evidence record anthropic:39-16
- AI research evidence record openai:c7
- AI research evidence record google:1.1.1
- AI research evidence record deepseek:c2
- AI research evidence record google:1.1.2
- AI research evidence record grok:1
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record kimi:vercite-citation-tracking
- AI research evidence record anthropic:6-5
- AI research evidence record anthropic:6-24
- AI research evidence record perplexity:c3
- AI research evidence record openai:c5
- AI research evidence record openai:c4
- AI research evidence record openai:c1
- AI research evidence record deepseek:c2
- AI research evidence record kimi:vercite-citation-tracking
- AI research evidence record openai:c2
- AI research evidence record openai:c6
- AI research evidence record anthropic:38-12
- AI research evidence record anthropic:38-13
- AI research evidence record openai:c7
- AI research evidence record google:1.1.1
- AI research evidence record anthropic:28-1
- AI research evidence record perplexity:c2
- AI research evidence record grok:0
- AI research evidence record perplexity:c3
- AI research evidence record kimi:vercite-citation-tracking
- AI research evidence record deepseek:c2
- AI research evidence record kimi:usecite-pricing
- AI research evidence record openai:c1
- AI research evidence record perplexity:c7
- AI research evidence record deepseek:c2
- AI research evidence record kimi:vercite-citation-tracking
- AI research evidence record openai:c3
- AI research evidence record anthropic:28-1
- AI research evidence record anthropic:38-12
- AI research evidence record grok:1
- AI research evidence record openai:c1
- AI research evidence record anthropic:28-1
- AI research evidence record openai:c7
- AI research evidence record anthropic:6-5
- AI research evidence record anthropic:6-24
- AI research evidence record perplexity:c3
- AI research evidence record openai:c2
- AI research evidence record deepseek:c2
- AI research evidence record kimi:vercite-citation-tracking
- AI research evidence record anthropic:6-21
- AI research evidence record anthropic:6-25
- AI research evidence record anthropic:24-7
- AI research evidence record anthropic:6-5
- AI research evidence record anthropic:6-24
- AI research evidence record anthropic:28-1
- AI research evidence record kimi:usecite-pricing
- AI research evidence record kimi:truffle-features
- AI research evidence record kimi:getcited-main
- AI research evidence record deepseek:c2
- AI research evidence record openai:c7
- AI research evidence record openai:c9
- AI research evidence record perplexity:c2
- AI research evidence record openai:c8
- AI research evidence record perplexity:c2
- AI research evidence record openai:c7
- AI research evidence record anthropic:28-1
- AI research evidence record openai:c1
- AI research evidence record kimi:vercite-citation-tracking
- AI research evidence record deepseek:c2
- AI research evidence record openai:c4
- AI research evidence record anthropic:9-1
- AI research evidence record openai:c5
- AI research evidence record openai:c8
- AI research evidence record perplexity:c2
- AI research evidence record openai:c7
- AI research evidence record anthropic:28-1
- AI research evidence record google:1.1.1
- AI research evidence record kimi:vercite-citation-tracking
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- Study date
- September 19, 2026
- Platforms analyzed
- 7
- Source records
- 28
- Ranking mentions
- 2 of 7
- Platform share
- 29%
- Final consensus rank
- #8
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
5 independent · 23 company-owned
Evidence support
25 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 6bf41be93108d57f9cb612ac6d1d10eda2b700640be83570ef3d558d991a4829