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AI Consensus Fit Review

Citepoint AI Citation Service Fit Review for Building Third-Party Authority

Citepoint is an uncertain fit for AI Citation Services for Building Third-Party Authority.

Research: 2026-09-177 usable platform responsesRead the methodology ↗

Answer Capsule

Citepoint is an uncertain fit for AI Citation Services for Building Third-Party Authority. Only 2 of 7 platforms named it during the ranking stage, and those two split between "good" and "uncertain." The strongest reason to consider it is its stated model: done-for-you off-site authority building plus multi-engine citation measurement, with a reported 90-day performance guarantee [1]. The main limitation is verification: the official site failed to load during research, pricing is unconfirmed, no independent customer evidence was located, and one platform reported the agency as retired [3]. Treat Citepoint as a diligence candidate, not a confirmed buy.

Research Snapshot

FieldFinding
Platform mentions in ranking stage2 of 7 platforms (anthropic, kimi)
Share of included platform responses28.6%
Average listed rank4.0
Best listed rank3 (anthropic)
Relevant product/model/planCitepoint Full Service (off-site authority building + measurement); reported Core plan $5,000/mo or Custom plan from $15,000/mo
Overall use-case fitUncertain — directionally relevant, not independently verified
Research date2026-09-17

Why Citepoint Qualified for This Study

Questions This Section Answers

  • Is Citepoint a good choice for AI Citation Services for Building Third-Party Authority?
  • Why did only 2 of 7 AI platforms name Citepoint in the ranking stage?

Citepoint qualified because two platforms independently surfaced it for a prompt about building credible third-party coverage in AI answers. Anthropic ranked it third and rated it a good fit; kimi ranked it fifth and rated it uncertain [5]. That is a 28.6% share of included platform responses — a minority mention, not consensus.

The qualification rests on positioning, not proof. Citepoint publicly describes itself as a done-for-you AI-visibility agency that gets B2B brands cited and recommended by AI answer engines through on-site content and schema, off-site authority building, and monthly measurement [5]. Its published methodology treats off-site authority and third-party source coverage as levers when on-site work is insufficient [7]. That maps directly onto this use case.

Five platforms did not name Citepoint in the ranking stage. That is a mention-count fact, not evidence of disagreement — platforms that never named the entity did not evaluate it. This review sits inside the broader AI Citation Services for Building Third-Party Authority consensus index, which compares providers across the same buyer need.

The Product, Model, Plan, or Service Most Relevant to AI Citation Services for Building Third-Party Authority

Questions This Section Answers

  • What does Citepoint Full Service actually include for third-party authority building?
  • Which Citepoint plan should a buyer choose if they need off-site placements plus measurement?

The relevant offering is Citepoint Full Service, described across platform responses as off-site authority building plus measurement, with a reported Core plan at $5,000/month and a Custom plan from $15,000/month [8]. Those prices are ranking-stage reported and were not confirmed on any accessible official page.

On the owned-content side, Citepoint says it researches, writes, and structures answer-shaped content and schema that engines extract, handed over ready to publish, with nothing going live without client sign-off [11]. On the off-site side, it states it gets clients into "the sources AI actually cites: G2, Reddit, 'best-of' lists, Wikipedia and PR" [12]. It also publishes guidance on which sources AI cites most and how Perplexity selects sources [13].

The measurement layer covers visibility, citation share, position or prominence, sentiment, query-set coverage, competitor tracking, repeated sampling, and multiple engines including ChatGPT, Perplexity, Google AI Overviews, Gemini, and Claude [8]. Citepoint also states it commits to one vendor per category, meaning it will not take direct competitors while under contract [9].

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Citepoint does well for third-party authority?
  • Is Citepoint's measurement approach across ChatGPT, Perplexity, and Gemini confirmed by multiple platforms?

Agreement is limited to two platforms, so treat these as shared observations rather than broad consensus.

Both anthropic and kimi recognized Citepoint as a managed service aimed at AI citation visibility rather than a self-serve tool [15]. Both also flagged the same core weakness: no verifiable public evidence of execution, publisher network, or outcomes [17].

Where the evidence is strongest is methodology. Citepoint's published framework explicitly recommends auditing which third-party sources AI engines cite for queries where a brand is absent, then earning presence in those sources [18]. It also recommends exposing raw AI answer text, competitor citations, prompt versioning, and engine coverage, and notes no tool in the category has been independently benchmarked at scale [18]. That is a company-owned claim about method, not proof of delivery.

The category logic behind the approach is independently supported: answer engines look for patterns of corroboration across the web [19], and citation building is increasingly treated as distinct from link building and central to AI visibility [20]. Citepoint cites a Stacker × Scrunch 2025 study claiming third-party content generates 4x more citations than company-owned content, from 8% to 34% [22] — a company-owned citation of a third-party study, not independently verified here.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Is Citepoint still an active business in 2026, or has it been retired?
  • Why do AI platforms disagree about whether Citepoint is a good fit?

The sharpest conflict is operational status. Google reported that Citepoint was an AI visibility agency built and run solo by Jude Rosen in 2026 and is now retired, rating it a weak fit with no active pricing or support infrastructure [23]. No other platform reported retirement. Anthropic, by contrast, retrieved a live terms page dated June 5, 2026, with active billing and cancellation language [24]. These two findings cannot both be current. Buyers must resolve this directly with the company before any commitment.

Fit ratings split accordingly: anthropic rated Citepoint good, while openai, deepseek, perplexity, kimi, and grok all rated it uncertain [26]. Grok found no mention of Citepoint in a 2026 AI search citation benchmark covering multiple vendors [30].

Retrieval itself was inconsistent. OpenAI, deepseek, and kimi all reported that the official homepage could not be fetched, leaving identity, packaging, pricing, and terms unverified from that page [31]. The deterministic audit confirms the official page returned a DNS resolution failure on 2026-09-17, with verification status "not_checked." Anthropic and perplexity, however, retrieved Citepoint-owned pages including the terms page and articles [24]. The most likely explanation is intermittent retrieval failure rather than a dead site, but that is inference, not verified fact.

A second conflict concerns customer evidence. Anthropic reported no independent published case studies, testimonials, or third-party reviews, and noted the site's sample dashboard (Northwind, 28→82 citations, Jan–Jun) is explicitly labeled illustrative and not real client data [34]. No platform located independent validation.

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Citepoint guarantee third-party placements on G2, Reddit, or Wikipedia?
  • What measurement and reporting does Citepoint provide for citation share?

For this use case, the relevant capabilities are source-architecture auditing, off-site placement, and citation measurement.

Source architecture: Citepoint names G2, Reddit, "best-of" lists, Wikipedia, and PR as target sources [35] and publishes analysis of which sources AI cites most [36]. It does not publicly identify a named publisher network, editorial relationships, or a documented outreach process [37]. Wikipedia placement in particular raises a compliance question, since Wikipedia has strict contribution and conflict-of-interest policies and no platform found an explanation of Citepoint's mechanism [35].

Measurement: the published framework covers citation share, prominence, sentiment, competitor tracking, repeated sampling, and multi-engine coverage [37]. Citepoint also cites research that only about 25% of cited domains overlap between ChatGPT and Perplexity, which supports cross-engine measurement as a design choice [38].

On-site layer: answer-shaped content and schema, delivered ready to publish with client sign-off [39].

Performance commitment: Citepoint states it sets targets with clients up front and that if targets have not moved by day 90, the client does not owe the next invoice [40]. This is a company-owned claim and was not independently verified.

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Citepoint cost per month, and are the Core and Custom plan prices verified?
  • What are Citepoint's contract term, cancellation notice, and refund terms?
  • Are publisher placement fees, content production, or monitoring overages billed separately?

Reported pricing is Core at $5,000/month and Custom from $15,000/month, sourced from the ranking stage and not confirmed on any accessible official pricing page [41]. Pricing confidence is low across every platform that addressed it.

Contract terms are better documented than price. Citepoint's terms page states paid engagements are billed monthly in advance at the rates in the order or SOW [45]; the initial term is 90 days, after which the arrangement is month-to-month with 30 days' cancellation notice [46]; fees are non-refundable except where required by law or expressly agreed in writing [47]; and the terms are governed by the laws of South Africa, with disputes subject to that jurisdiction [48]. The terms page is dated June 5, 2026, with no visible amendments [45].

Additional fees are unresolved. OpenAI reported it is unclear whether publisher fees, sponsored-content costs, editorial fees, travel, data or monitoring overages, content production, or third-party tooling are included, and found no verified information on setup fees, minimum media budgets, or pass-through costs [41]. Anthropic reported no additional fees documented, with SOW pricing described as all-inclusive [42] — a direct conflict with OpenAI's finding. Deepseek, perplexity, and kimi all reported unknown or unclear additional fees [49].

Ownership and reuse rights for research, content, placements, reporting data, prompt sets, and dashboards after termination are not addressed in the supplied evidence [41].

Best Suited For

Questions This Section Answers

  • Who is Citepoint best suited for in AI citation and third-party authority work?
  • Is Citepoint a good fit for a funded B2B brand that already publishes strong content?

Citepoint is best considered by funded B2B companies that want a managed engagement combining AI-visibility measurement with off-site authority strategy, and that are willing to fund a high-touch agency relationship rather than a software subscription [50].

It fits buyers that need prompt-level, multi-engine monitoring instead of measurement-only tooling [50]. It also fits companies with existing authority to amplify: independent commentary notes that brands already publishing strong content see faster citation lift than brands starting cold, and that citation building connects authority you already have to the sources models read rather than creating authority from nothing [52].

Buyers who value a stated performance backstop may find the reported 90-day target guarantee relevant, provided it is confirmed in writing [54]. Buyers who want category exclusivity may also value the stated one-vendor-per-category commitment [51].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Citepoint for building third-party authority?
  • Is Citepoint suitable for a buyer who needs documented publisher placements before signing?

Buyers whose central requirement is independently documented publisher placements, guaranteed earned coverage, or transparent case studies before purchase should not choose Citepoint on current evidence [55].

Early-stage companies with minimal existing brand authority or published content are a poor fit, since the model assumes authority to amplify and cold-start timelines are unclear [58]. Smaller companies seeking low-cost citation monitoring or self-service tracking should look elsewhere given the reported $5,000/month entry point [55].

Organizations that need confirmed annual-contract, cancellation, SLA, or deliverable terms before a buying decision will find gaps: contract duration beyond the 90-day initial term, renewal structure, termination fees, and service levels are not fully established in the supplied evidence [55]. Buyers prioritizing U.S. legal jurisdiction should note the South African governing law [61]. Buyers who require peer references from similar companies before committing are also poorly served, since no independent reviews, testimonials, or G2/Capterra ratings were located [56].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Citepoint for a buyer who needs transparent, verifiable pricing?
  • Which alternative suits a buyer with a budget below Citepoint's reported $5,000 per month?

Several alternatives publish verifiable pricing and service descriptions that Citepoint does not.

For transparent tiered pricing, The HOTH publishes AI visibility services from $40/page for Content Refresh to $3,500/month for Earned Media, plus a managed AI Discover program starting at $775/month [62]. For low-cost brand mentions, Airefs lists a $250/month service with separate publisher fees typically $100–$500 billed only when live [64]. For pay-per-placement outreach, CrowdReply charges only when a mention publishes and shows content and fee upfront [66]. Link.Build publishes AI citation building pricing starting at $10 [68].

For an audit-first path, Cited offers a one-time Citation Audit with a 90-day action plan credited toward the second month if the buyer continues to a retainer, with month-to-month terms and no lock-in [69]. Cited also describes 4–12 citation-engineered articles per month with off-site distribution and weekly monitoring across ChatGPT, Perplexity, Gemini, and Grok [70]. Nerativ identifies third-party sources Perplexity and ChatGPT cite for competitors and measures citation frequency using Peec AI [71]. Opositive offers audit and baseline, source prospecting, outreach, and citation tracking [72]. Get-Cited.ai publishes across a curated high-authority network with Starter, Growth, and Authority plans [73].

A measurement-only platform is the better choice when the buyer already has PR, editorial, SEO, or digital-PR execution and mainly needs citation-share tracking [74]. A specialist digital-PR or editorial-outreach agency is better when independently documented publisher relationships and placement-level reporting are the primary requirements [74]. A lower-cost self-service tool is better when budget is materially below the reported $5,000/month entry point or the buyer wants to validate a baseline first [74]. Buyers who need documented benchmark presence should note that Citepoint did not appear in a 2026 AI search citation benchmark covering multiple vendors [75].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Citepoint before signing a contract?

  • How can a buyer verify Citepoint's publisher network and placement mechanism?

  • Is Citepoint currently active and accepting clients, given one platform reported the agency as retired [76]?

  • Which named U.S. independent publishers, review sites, industry resources, communities, and directories are included in the initial source-architecture audit [77]?

  • Can Citepoint provide permissioned or anonymized examples showing source gaps identified, coverage earned, and subsequent citation-share movement [77]?

  • What exact off-site deliverables are included monthly: research, digital PR, editorial outreach, contributed content, expert quotes, directory listings, or community participation [77]?

  • Are placements earned editorially, paid, sponsored, partner-generated, or a mixture, and how are disclosures handled [77]?

  • How does Citepoint ensure Wikipedia placement compliance given Wikipedia's strict contribution and conflict-of-interest policies, and what safeguards prevent removal [79]?

  • What engines, prompt volumes, geographies, languages, competitors, and historical data are included in Core versus Custom [77]?

  • Will the buyer receive raw answer text, source URLs, citation snapshots, competitor comparisons, prompt version history, and exportable data [77]?

  • What is the minimum contract term, renewal structure, cancellation notice, and termination fee beyond the stated 90-day initial term [80]?

  • Are publisher fees, content production, monitoring overages, travel, or third-party tools billed separately, and does the SOW confirm all-inclusive pricing [77]?

  • Who owns content, research, dashboards, source maps, prompt libraries, and reporting data after termination [77]?

  • Can the South African governing law be amended to a U.S. jurisdiction in the SOW [82]?

  • If the 90-day performance guarantee is not met, does the client retain all content and placements published, or are they removed [83]?

  • What performance indicators are committed to, and how does Citepoint distinguish correlation from causation between citation movement and pipeline [77]?

Final AI Consensus Verdict

Citepoint is an uncertain fit for AI Citation Services for Building Third-Party Authority. Two of seven platforms named it in the ranking stage, with an average listed rank of 4.0 and a best rank of 3. Fit ratings split between one "good" (anthropic) and five "uncertain" (openai, deepseek, perplexity, kimi, grok), plus one "weak" (google).

The directional case is real: the service model targets exactly this buyer need, combining off-site authority building with multi-engine citation measurement, and the category logic is independently supported [84]. The verification case is not. The official homepage failed to load during research, reported pricing is unconfirmed, no independent customer evidence was located, sample performance data is explicitly labeled illustrative, contract terms are governed by South African law, and one platform reported the agency as retired [86].

Purchase should be contingent on a written scope, a named or clearly characterized source strategy, deliverable-level reporting, independently checkable examples, confirmed commercial terms, and resolution of the active-versus-retired conflict. AI-platform agreement here does not establish product quality; it reflects what platforms surfaced and how they assessed fit.

How This Review Was Produced

This review was produced from a 2026-09-17 research run covering seven AI platforms: openai, anthropic, deepseek, google, grok, kimi, and perplexity. Each platform independently evaluated which AI citation solutions or agencies it would recommend for a company seeking credible third-party sources to corroborate its authority in AI search results. Citepoint was named during ranking discovery by two platforms, anthropic and kimi, and this review evaluates it only for that use case.

All platform findings are platform-reported and were not independently verified by the writer stage. Company-owned citations materially outnumber independent citations in the supplied evidence (16 owned versus 7 independent), so company claims are not treated as independently established. The supplied URLs were collected from platform responses and were not independently validated. The deterministic identity audit used an exact-name fallback, and the matching reported domain was retained for downstream research but remains unverified.

Methodology Limitations

The official Citepoint homepage could not be retrieved during research; the deterministic audit records a DNS resolution failure on 2026-09-17 with verification status "not_checked." Some platforms nonetheless retrieved Citepoint-owned pages, so the retrieval failure may be intermittent rather than indicative of a dead site — this is inference, not verified fact.

Reported pricing of $5,000/month Core and $15,000/month Custom was not confirmed on any accessible official pricing page and should be treated as unverified. No reliable public evidence was found for minimum term beyond the 90-day initial period, cancellation mechanics beyond 30 days' notice, SLA, deliverable volume, publisher access, or pass-through fees. No independent benchmark, audited customer outcome, third-party review, or customer testimonial was located.

Public evidence does not verify a concrete network or track record of independent publisher, review-site, directory, industry-resource, or community placements, nor whether authority building is earned, editorial, sponsored, or partnership-based. AI citations vary by prompt, engine, context, and time; improved citation share cannot be guaranteed from the available evidence. Platform-reported dates are provenance metadata and do not independently prove freshness. Missing research was not treated as disagreement, and platforms that did not name Citepoint did not evaluate it.

Explore more ai citation authority building guidance in the category directory.

Sources

Company-Owned Sources

  • Citepoint official website fetch result: https://citepoint.ai/
  • How Perplexity Chooses Its Sources (and How to Become One: https://citepoint.ai/articles/how-perplexity-chooses-sources
  • How to Measure AI Visibility: Metrics, Methods and Benchmarks: https://citepoint.ai/articles/how-to-measure-ai-visibility
  • The Sources AI Cites Most: G2, Reddit, Wikipedia and Beyond: https://citepoint.ai/articles/sources-ai-cites-most
  • Citepoint · Get your business cited by AI - Terms: https://citepoint.ai/terms
  • Citation Outreach for AI Search Visibility — CrowdReply: https://crowdreply.io/features/citation-outreach
  • Get Cited by AI — Get Cited by ChatGPT, Claude & Copilot: https://get-cited.ai/
  • Brand Mention Service — Get Cited by ChatGPT | Airefs: https://getairefs.com/services/brand-mentions/
  • AI Citation Building Services | Link.Build: https://link.build/ai-citation-building
  • LLM Citations: Get Your Brand Cited by AI | Nerativ: https://nerativ.co/llm-citations/
  • Cited — The AI Citation Agency: https://wearecited.com/
  • How It Works — Cited: https://wearecited.com/how-it-works
  • Citations as a Service: How Brands Build Authority in AI Search and LLM Discovery - Webtek Marketing: https://webtekmarkeling.com/citation-building-service/
  • Citations as a Service: How Brands Build Authority in AI Search and LLM Discovery - Webtek Marketing: https://webtekmarketing.com/citation-building-service/
  • AI Visibility Services | Get Cited in AI Overviews, ChatGPT, and Perplexity | The HOTH: https://www.thehoth.com/ai-search-visibility/
  • Additional AI research evidence89 records
    1. AI research evidence record anthropic:17-14
    2. AI research evidence record openai:citepoint_measurement
    3. AI research evidence record google:source_jude_portfolio
    4. AI research evidence record openai:citepoint_homepage_fetch
    5. AI research evidence record anthropic:1-1
    6. AI research evidence record kimi:search_2026_missing
    7. AI research evidence record openai:citepoint_measurement
    8. AI research evidence record openai:citepoint_measurement
    9. AI research evidence record anthropic:1-1
    10. AI research evidence record perplexity:c1
    11. AI research evidence record anthropic:22-1
    12. AI research evidence record anthropic:22-4
    13. AI research evidence record perplexity:c4
    14. AI research evidence record perplexity:c2
    15. AI research evidence record anthropic:1-1
    16. AI research evidence record kimi:search_2026_missing
    17. AI research evidence record anthropic:37-7
    18. AI research evidence record openai:citepoint_measurement
    19. AI research evidence record anthropic:19-2
    20. AI research evidence record anthropic:5-2
    21. AI research evidence record anthropic:5-6
    22. AI research evidence record anthropic:22-6
    23. AI research evidence record google:source_jude_portfolio
    24. AI research evidence record anthropic:37-1
    25. AI research evidence record anthropic:37-2
    26. AI research evidence record openai:citepoint_measurement
    27. AI research evidence record deepseek:c1
    28. AI research evidence record perplexity:c1
    29. AI research evidence record kimi:search_2026_missing
    30. AI research evidence record grok:web:1
    31. AI research evidence record openai:citepoint_homepage_fetch
    32. AI research evidence record perplexity:c2
    33. AI research evidence record perplexity:c4
    34. AI research evidence record anthropic:37-7
    35. AI research evidence record anthropic:22-4
    36. AI research evidence record perplexity:c4
    37. AI research evidence record openai:citepoint_measurement
    38. AI research evidence record anthropic:35-5
    39. AI research evidence record anthropic:22-1
    40. AI research evidence record anthropic:17-14
    41. AI research evidence record openai:citepoint_measurement
    42. AI research evidence record anthropic:1-1
    43. AI research evidence record perplexity:c1
    44. AI research evidence record kimi:search_2026_missing
    45. AI research evidence record anthropic:37-1
    46. AI research evidence record anthropic:37-2
    47. AI research evidence record anthropic:37-10
    48. AI research evidence record anthropic:37-13
    49. AI research evidence record deepseek:c1
    50. AI research evidence record openai:citepoint_measurement
    51. AI research evidence record anthropic:1-1
    52. AI research evidence record anthropic:9-4
    53. AI research evidence record anthropic:9-5
    54. AI research evidence record anthropic:17-14
    55. AI research evidence record openai:citepoint_measurement
    56. AI research evidence record anthropic:37-7
    57. AI research evidence record deepseek:c1
    58. AI research evidence record anthropic:9-4
    59. AI research evidence record anthropic:9-5
    60. AI research evidence record anthropic:37-2
    61. AI research evidence record anthropic:37-13
    62. AI research evidence record deepseek:c2
    63. AI research evidence record kimi:hoth_ai
    64. AI research evidence record deepseek:c3
    65. AI research evidence record kimi:airefs_brand
    66. AI research evidence record deepseek:c5
    67. AI research evidence record kimi:crowdreply_features
    68. AI research evidence record deepseek:c4
    69. AI research evidence record deepseek:c6
    70. AI research evidence record kimi:wearecited_how
    71. AI research evidence record kimi:nerativ_llm
    72. AI research evidence record kimi:opositive_citation
    73. AI research evidence record kimi:getcited_ai
    74. AI research evidence record openai:citepoint_measurement
    75. AI research evidence record grok:web:1
    76. AI research evidence record google:source_jude_portfolio
    77. AI research evidence record openai:citepoint_measurement
    78. AI research evidence record anthropic:37-7
    79. AI research evidence record anthropic:22-4
    80. AI research evidence record anthropic:37-2
    81. AI research evidence record anthropic:1-1
    82. AI research evidence record anthropic:37-13
    83. AI research evidence record anthropic:17-14
    84. AI research evidence record openai:citepoint_measurement
    85. AI research evidence record anthropic:19-2
    86. AI research evidence record openai:citepoint_homepage_fetch
    87. AI research evidence record anthropic:37-7
    88. AI research evidence record anthropic:37-13
    89. AI research evidence record google:source_jude_portfolio

Independent Sources

  • Best AI Citation Building Services for 2026: https://brandmentions.link/best-ai-citation-building-services/
  • AI Search Tool Citation Benchmark 2026 | Vendor Share of Voice | Foglift: https://foglift.io/research/ai-search-tool-citations-2026
  • Authority Intelligence: Building AI Citation Authority: https://garyowl.com/authority-intelligence-building-ai-citation-authority/
  • AI Citation Authority: How to Get Cited by ChatGPT, Perplexity: https://www.margen.net/ai-citation-authority/
  • Additional AI research evidence89 records
    1. AI research evidence record anthropic:17-14
    2. AI research evidence record openai:citepoint_measurement
    3. AI research evidence record google:source_jude_portfolio
    4. AI research evidence record openai:citepoint_homepage_fetch
    5. AI research evidence record anthropic:1-1
    6. AI research evidence record kimi:search_2026_missing
    7. AI research evidence record openai:citepoint_measurement
    8. AI research evidence record openai:citepoint_measurement
    9. AI research evidence record anthropic:1-1
    10. AI research evidence record perplexity:c1
    11. AI research evidence record anthropic:22-1
    12. AI research evidence record anthropic:22-4
    13. AI research evidence record perplexity:c4
    14. AI research evidence record perplexity:c2
    15. AI research evidence record anthropic:1-1
    16. AI research evidence record kimi:search_2026_missing
    17. AI research evidence record anthropic:37-7
    18. AI research evidence record openai:citepoint_measurement
    19. AI research evidence record anthropic:19-2
    20. AI research evidence record anthropic:5-2
    21. AI research evidence record anthropic:5-6
    22. AI research evidence record anthropic:22-6
    23. AI research evidence record google:source_jude_portfolio
    24. AI research evidence record anthropic:37-1
    25. AI research evidence record anthropic:37-2
    26. AI research evidence record openai:citepoint_measurement
    27. AI research evidence record deepseek:c1
    28. AI research evidence record perplexity:c1
    29. AI research evidence record kimi:search_2026_missing
    30. AI research evidence record grok:web:1
    31. AI research evidence record openai:citepoint_homepage_fetch
    32. AI research evidence record perplexity:c2
    33. AI research evidence record perplexity:c4
    34. AI research evidence record anthropic:37-7
    35. AI research evidence record anthropic:22-4
    36. AI research evidence record perplexity:c4
    37. AI research evidence record openai:citepoint_measurement
    38. AI research evidence record anthropic:35-5
    39. AI research evidence record anthropic:22-1
    40. AI research evidence record anthropic:17-14
    41. AI research evidence record openai:citepoint_measurement
    42. AI research evidence record anthropic:1-1
    43. AI research evidence record perplexity:c1
    44. AI research evidence record kimi:search_2026_missing
    45. AI research evidence record anthropic:37-1
    46. AI research evidence record anthropic:37-2
    47. AI research evidence record anthropic:37-10
    48. AI research evidence record anthropic:37-13
    49. AI research evidence record deepseek:c1
    50. AI research evidence record openai:citepoint_measurement
    51. AI research evidence record anthropic:1-1
    52. AI research evidence record anthropic:9-4
    53. AI research evidence record anthropic:9-5
    54. AI research evidence record anthropic:17-14
    55. AI research evidence record openai:citepoint_measurement
    56. AI research evidence record anthropic:37-7
    57. AI research evidence record deepseek:c1
    58. AI research evidence record anthropic:9-4
    59. AI research evidence record anthropic:9-5
    60. AI research evidence record anthropic:37-2
    61. AI research evidence record anthropic:37-13
    62. AI research evidence record deepseek:c2
    63. AI research evidence record kimi:hoth_ai
    64. AI research evidence record deepseek:c3
    65. AI research evidence record kimi:airefs_brand
    66. AI research evidence record deepseek:c5
    67. AI research evidence record kimi:crowdreply_features
    68. AI research evidence record deepseek:c4
    69. AI research evidence record deepseek:c6
    70. AI research evidence record kimi:wearecited_how
    71. AI research evidence record kimi:nerativ_llm
    72. AI research evidence record kimi:opositive_citation
    73. AI research evidence record kimi:getcited_ai
    74. AI research evidence record openai:citepoint_measurement
    75. AI research evidence record grok:web:1
    76. AI research evidence record google:source_jude_portfolio
    77. AI research evidence record openai:citepoint_measurement
    78. AI research evidence record anthropic:37-7
    79. AI research evidence record anthropic:22-4
    80. AI research evidence record anthropic:37-2
    81. AI research evidence record anthropic:1-1
    82. AI research evidence record anthropic:37-13
    83. AI research evidence record anthropic:17-14
    84. AI research evidence record openai:citepoint_measurement
    85. AI research evidence record anthropic:19-2
    86. AI research evidence record openai:citepoint_homepage_fetch
    87. AI research evidence record anthropic:37-7
    88. AI research evidence record anthropic:37-13
    89. AI research evidence record google:source_jude_portfolio

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Study date
September 17, 2026
Platforms analyzed
7
Source records
23
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

7 independent · 16 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 4389486cce41158a3c2620ad003d6592c6a43ea9522d71ac38c80280a4a06a34