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BeCited AI Citation Architecture Audit Fit Review

BeCited is a good fit for a focused, human-reviewed AI citation architecture audit across four major conversational engines at a transparent $2,000 one-time price.

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

Answer Capsule

BeCited is a good fit for a focused, human-reviewed AI citation architecture audit across four major conversational engines at a transparent $2,000 one-time price. Two of seven platforms named BeCited during the ranking stage (grok and kimi), a 28.6% share of included platform responses, with an average listed rank of 5.0 and a best listed rank of 4. The strongest reason to consider it is the Full Audit's direct alignment with the buyer criteria: source mapping, competitor comparison, gap analysis, and a prioritized 90-day plan. The main limitation is narrow scope — four engines, no implementation, and no independent validation of methodology or outcomes.

Research Snapshot

FieldValue
Platform mentions in ranking stage2 of 7
Share of included platform responses28.6%
Average listed rank5.0
Best listed rank4
Relevant product/model/planFull Audit; $2,000 one-time
Overall use-case fitGood
Research date2026-09-17

Why BeCited Qualified for This Study

Questions This Section Answers

  • Is BeCited a legitimate candidate for an AI citation architecture audit, or did it only appear in one platform's answer?
  • How many AI platforms actually named BeCited when asked to recommend citation architecture audit providers?

BeCited qualified because two of the seven included platforms named it during ranking discovery, meeting the study's minimum-mention threshold of two. Grok listed it at rank 4 and Kimi at rank 6, producing an average listed rank of 5.0 and a best listed rank of 4 [1].

The remaining five platforms evaluated BeCited's fit for the use case without naming it in their ranking output. That distinction matters: platform_mentions counts only platforms that named the entity during ranking discovery, not platforms that assessed fit. Fit ratings across all seven platforms ranged from strong (google, grok) to good (openai, anthropic, perplexity) to weak (deepseek) and uncertain (kimi).

BeCited's qualification rests on a specific, documented product rather than a general reputation. Its Full Audit is described as a one-time, one-week engagement covering 100–300 buying-intent prompts across ChatGPT, Gemini, Perplexity, and Claude, priced at $2,000 [3].

The Product, Model, Plan, or Service Most Relevant to AI Citation Architecture Audits

Questions This Section Answers

  • Which BeCited plan should a buyer choose if they need a full citation architecture audit rather than a quick visibility check?
  • Does BeCited's Full Audit include source mapping, competitor comparison, and a prioritized action plan for AI citation work?

The relevant offering is the Full Audit at $2,000 one-time, delivered in one week. BeCited also lists a Snapshot at $199 one-time (10 buying-intent prompts on Perplexity, 48-hour delivery, credited toward a Full Audit within 30 days) and Quarterly Tracking at $1,500 per quarter [12].

The Full Audit's stated deliverables map closely to the buyer criteria for this use case. BeCited describes a visibility score, an engine-by-engine breakdown, a source map, prompt-level gap analysis, a prioritized 90-day action plan, persona analysis, and a 45-minute strategy session [14]. The company says sources are tiered and brand variants are matched, and that every audit is personally reviewed by founder Owen Kurth [19].

BeCited's methodology page states that every answer is read by hand rather than generated by AI, that inter-rater agreement was tested at Cohen's κ=0.722, and that 95% confidence intervals are applied to scores [24]. These are company-reported claims. No independent validation of the sampling design, confidence-interval computation, or model-version controls was identified in the reviewed material [26].

A separate custom service, Relevance Engineering, covers implementation such as content rewrites, schema markup, and llms.txt execution. It is project-based with no published price [19].

What the AI Platforms Agreed About

Questions This Section Answers

  • What do multiple AI platforms agree that BeCited's Full Audit actually delivers for citation architecture work?
  • Is BeCited's $2,000 Full Audit price consistent across the platforms that reviewed it?

Platforms broadly agreed on the core facts of the Full Audit. Six of seven platforms — openai, anthropic, grok, perplexity, google, and (partially) deepseek — reported the $2,000 one-time price, the one-week delivery window, and the four-engine scope covering ChatGPT, Gemini, Perplexity, and Claude [30].

Platforms also agreed that the Full Audit includes a source map, gap analysis, and a prioritized 90-day action plan [30]. This is the strongest area of consensus and the clearest link to the buyer's stated criteria.

Three platforms — grok, perplexity, and google — specifically described the audit as human-reviewed rather than automated, with the founder personally reading quotes and filtering brand variants [35]. Anthropic independently reported the same founder-led review claim [46].

Agreement on these points does not establish product quality. It establishes that multiple platforms retrieved and repeated the same company-owned descriptions.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Why did one AI platform rate BeCited as a weak fit for citation architecture audits while others rated it strong?
  • Does BeCited's Full Audit actually include Google AI Overviews, or is coverage limited to four engines?

The platforms disagreed sharply on fit. Google and Grok rated BeCited a strong fit; OpenAI, Anthropic, and Perplexity rated it good; DeepSeek rated it weak; Kimi rated it uncertain [49].

DeepSeek's weak rating stemmed from a retrieval failure rather than a product finding. DeepSeek reported that becited.io "contains no detailed feature list, pricing, methodology, or sample outputs" and treated the $2,000 price as unverified because it appeared only in an external list [54]. Other platforms retrieved the same domain successfully and documented the pricing and deliverables directly [51]. This is a platform-reported retrieval discrepancy, not evidence that the product lacks those features.

Kimi reported that no verifiable information about BeCited or becited.io was found at all and flagged possible name confusion with similarly named services such as Cited Digital, Cited by AI, YouCited, GetCited, and Citemeter [55]. Kimi's own citation for this finding points to a competitor domain, not to BeCited.

Several substantive uncertainties were raised across platforms and remain unresolved:

  • Google AI Overviews coverage. BeCited's public scope names four engines. Competitors such as 5W explicitly include Google AI Overviews [57]. Whether BeCited covers AI Overviews is not confirmed in the reviewed material [58].
  • Source concentration analysis. Industry context cited by Anthropic shows the top 15 domains capture roughly 68% of AI citations, with Reddit at about 40% and journalism at 27% [61]. BeCited's materials do not confirm whether concentration risk is evaluated with a defined metric [51].
  • Third-party source mapping depth. BeCited lists a "source map" as a deliverable, but materials do not specify whether it covers Wikipedia, Reddit, directories, and review platforms, or only domains cited in answers [65].
  • Site-readiness check count. One BeCited page describes 19 signals while another service page describes 15 checks [51].
  • Brand and domain ambiguity. Perplexity found a UK-facing Be Cited site and another BeCited-branded domain listing monthly GEO/SEO plans, and could not fully clarify the relationship between those pages and the $2,000 Full Audit [69].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does BeCited's Full Audit map first-party and third-party sources and compare competitor citation networks?
  • Can BeCited detect missing authority sources and evaluate source concentration for a brand's AI citation environment?

BeCited's stated capabilities align with most, but not all, of the buyer criteria for this use case.

Buyer criterionBeCited coverageEvidence
Map first-party and third-party sourcesStated source map with source tiering; exact taxonomy not published,,
Identify domains influencing AI answersSource Influence Map of platforms AI cites in the category,
Compare competitor citation networksReal-competitor comparison and prompt-by-prompt gap analysis; graph-level network analysis not documented,,
Detect missing authority sourcesGap analysis and root-cause gaps; explicit missing-authority detection not confirmed,
Evaluate source concentrationNot publicly specified with a defined metric,
Prioritized improvement plan90-day action plan prioritized by impact and effort, plus strategy session,,,,

The audit also includes site-readiness checks covering crawl access, llms.txt, sitemaps, JSON-LD, headings, rendering, entity readiness, information architecture, and quotable content [73]. BeCited's AI search guide describes scoring across Retrievability, Citability, and Recognizability [75].

The 90-day plan is described as operationalized — "start Monday, not a dashboard" — with most actions falling into three areas: claiming listings on influential platforms, creating content AI engines value, and strengthening review and community presence [76].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does BeCited's Full Audit cost, and are there setup, cancellation, or refund fees?
  • What does BeCited charge for ongoing quarterly tracking after the one-time audit?

BeCited's published pricing is unusually transparent for this category. The Full Audit is $2,000 one-time with one-week delivery. The Snapshot is $199 one-time with 48-hour delivery and credits toward a Full Audit within 30 days. Quarterly Tracking is $1,500 per quarter [79].

No additional Full Audit fees are publicly stated [84]. Implementation through Relevance Engineering is project-based with no published price [85].

Contract terms are partially documented. BeCited's Terms of Service, last updated April 4, 2026, state that payment is due upon engagement unless otherwise agreed, that buyers unsatisfied with a deliverable should contact BeCited within 14 days of delivery to discuss resolution, and that all methodologies, scoring algorithms, and report formats remain BeCited intellectual property licensed for internal business use only — reports may not be resold, redistributed, or publicly shared without written permission (official:C3).

Cancellation, refund, rescheduling, data-retention, and confidentiality terms beyond the 14-day resolution window are not clearly published [84]. Third-party directory listings for a related subscription product state monthly billing with no annual contract and no rollover of included audits, but those terms may not apply to the one-time Full Audit [86].

Pricing confidence was rated high by Anthropic, Grok, and Google, and moderate by OpenAI and Perplexity [88]. DeepSeek rated pricing confidence low because it could not retrieve the price from BeCited's own site [89].

Best Suited For

Questions This Section Answers

  • Is BeCited a good choice for a mid-market company that wants a one-time, expert-reviewed AI citation baseline audit?
  • Which buyers get the most value from BeCited's $2,000 Full Audit versus a cheaper automated tool?

BeCited is best suited for U.S. companies seeking a one-week, fixed-price diagnostic of buyer-intent visibility across four major AI answer engines [90].

It fits marketing, SEO, and content teams that want prompt-level competitor and source-gap analysis plus a 90-day action plan they can execute internally [90].

It also fits buyers who prefer human review by a named analyst over a self-service dashboard, and mid-market companies and SaaS vendors with defined buyer-intent prompts and clear category positioning [90].

Teams with modest budgets who want to prioritize audit quality over long-term monitoring are a reasonable fit, given the $2,000 one-time price and the $199 Snapshot entry point [93].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose BeCited for an AI citation architecture audit?
  • Is BeCited unsuitable for enterprises that need continuous citation monitoring or implementation services?

BeCited is probably not the best fit for companies requiring coverage of Google AI Overviews, Grok, DeepSeek, or a broader recommendation-platform ecosystem [103].

It is also a weaker fit for organizations needing continuous, high-volume monitoring, API access, formal third-party assurance, or implementation at enterprise scale [103].

Buyers whose primary requirement is technical information architecture remediation rather than measuring current AI answers and citation environments should look elsewhere [103].

Brands needing deep source ecosystem mapping across third-party platforms — directories, reviews, Wikipedia, Reddit — or agency-level execution on citation architecture improvements may find BeCited's audit-only scope insufficient [112].

Buyers who require fully automated, self-serve dashboards without analyst review or strategy sessions are also a poor match [115].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to BeCited for a buyer who needs Google AI Overviews coverage or agency-level execution?
  • When should a buyer choose a cheaper or more transparently documented citation audit provider over BeCited?

Choose a broader AI-visibility platform when Google AI Overviews, Grok, DeepSeek, continuous monitoring, or dashboard/API access are mandatory [117].

Choose a technical SEO or information-architecture consultancy when the main need is implementation across a large site, entity graph, structured data system, or content estate [117].

Choose an independent research or measurement provider when procurement requires externally validated methodology, audit trails, model-version controls, or formal assurance [117].

Choose an ongoing monitoring product when the buyer needs frequent trend detection rather than a one-time strategic audit. Industry practice cited by Anthropic shows monthly audits suffice for most businesses, with weekly audits advisable for competitive or high-velocity categories [124].

Several named alternatives appear in the platform responses with published pricing: ADAM·CITE (Full Audit at $59, with a published CITE methodology), Clear Cited ($500–$4,500 across four tiers), Cited Digital ($497 with 24-hour delivery and paste-ready JSON-LD), Citelayer ($1,500–$3,000), Cited by AI ($497/month), and YouCited ($39–$299/month) [127]. These are company-owned pricing pages and were not independently validated.

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with BeCited before signing a contract for the Full Audit?
  • How can a buyer verify BeCited's source map, gap analysis, and confidence-interval methodology before purchase?

Buyers should confirm the following directly with BeCited before purchase, because the reviewed public materials do not resolve them:

  • Will the audit separately inventory first-party, earned-media, directory, community, review, and competitor sources? [136]
  • Will the deliverable show every cited URL, domain, engine, prompt, timestamp, answer excerpt, and competitor displacement event? [136]
  • How is source authority scored, and is source concentration quantified with a defined metric? [136]
  • What exactly is included in the 100–300 prompts: number of personas, markets, product lines, competitors, and prompt variants? [136]
  • Are Google AI Overviews, shopping or recommendation assistants, Grok, DeepSeek, and other requested platforms available as add-ons? [136]
  • How are model changes, personalization, geography, search location, and answer volatility controlled? [136]
  • What do the stated 95% confidence intervals measure, and can BeCited provide the sampling and statistical methodology? [136]
  • Are implementation recommendations limited to strategy, or will BeCited implement schema, content, technical fixes, or source placements? [136]
  • What are the refund, cancellation, confidentiality, data-retention, deliverable-ownership, and rescheduling terms beyond the 14-day resolution window? [136]
  • Can the buyer review a redacted sample showing the complete source map and competitor citation comparison before purchase? [136]

Final AI Consensus Verdict

BeCited is a good fit for a focused, human-reviewed AI citation architecture audit across four major conversational engines at a transparent $2,000 one-time price. Two of seven platforms named it during ranking discovery, and fit ratings across all seven ranged from strong to uncertain, with the weak rating driven by a retrieval failure rather than a product finding.

The strongest case for BeCited is its direct alignment with the buyer criteria: source mapping, competitor comparison, gap analysis, and a prioritized 90-day plan, delivered in one week by a named analyst [152].

The clearest limitations are narrow engine coverage, no implementation included in the audit, no confirmed source-concentration metric, and no independent validation of methodology or outcomes. Company-owned citations materially outnumber independent citations in the reviewed evidence, so BeCited's methodology and outcome claims should be treated as company-reported rather than independently verified.

Buyers who need Google AI Overviews coverage, continuous monitoring, formal assurance, or agency-level execution should evaluate the alternatives named in this review before committing.

How This Review Was Produced

This review was produced from platform-reported research conducted on 2026-09-17 across seven AI platforms: OpenAI, Anthropic, Google, Grok, Perplexity, DeepSeek, and Kimi. Each platform was asked which companies it would recommend for an AI citation architecture audit and why. BeCited was named during ranking discovery by two platforms, meeting the study's minimum-mention threshold.

All included platforms evaluated fit, but platform_mentions counts only platforms that named the entity during ranking discovery. Fit ratings, pricing details, and capability findings were drawn from the platform responses and their cited sources. Company-owned citations materially outnumber independent citations in the reviewed evidence. Citations are platform-reported evidence, not independently verified facts. The supplied URLs were collected from platform responses and were not independently validated by the writer stage.

Methodology Limitations

  • The reviewed evidence is primarily company-owned material. Independent reviews, customer-verified outcomes, and third-party methodology validation were not identified [157].
  • DeepSeek could not retrieve BeCited's product details and rated the entity weak on that basis; other platforms retrieved the same domain successfully. This is a retrieval discrepancy, not a product finding [161].
  • Kimi reported no verifiable information about BeCited and flagged possible name confusion with similarly named services [163].
  • BeCited's public pages consistently list the Full Audit at $2,000 one-time, but the exact number of site-readiness checks varies across page language: one page describes 19 signals while another service page describes 15 checks [164].
  • Public materials do not fully define source classification, authority scoring, concentration analysis, or confidence-interval computation [164].
  • The public scope names four engines, so coverage of other AI-search and recommendation platforms is unclear rather than included [164].
  • Perplexity found a UK-facing Be Cited site and another BeCited-branded domain listing monthly plans, and could not fully clarify the relationship between those pages and the $2,000 Full Audit [171].
  • Platform-reported dates are provenance metadata and do not independently prove freshness.
  • No personal testing, customer experience, or independent verification was performed for this review.

See the broader AI Citation Architecture Audits consensus index for comparisons across qualified options.

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

From the index

Compare the adjacent findings before forming a view.

Sources

Company-Owned Sources

  • Pricing — Cited by AI: https://aicited.ai/pricing
  • Be Cited: Strategic Communications for the AI Search Era: https://becited.co.uk/
  • BeCited: Get cited in AI answers | GEO for AI search: https://becited.co/
  • BeCited — AI Search Visibility Audit: https://becited.io/
  • The Three Pillars of GEO: Retrievability, Citability ... - BeCited: https://becited.io/ai-search-guide/three-pillars-of-geo
  • Case Studies — BeCited: https://becited.io/case-studies
  • FAQ: https://becited.io/faq
  • Methodology — How BeCited keeps the audit honest: https://becited.io/methodology
  • Services — Audits, tracking, and relevance engineering: https://becited.io/services
  • GEO Audit — Measure where you stand in AI search - BeCited: https://becited.io/services/geo-audit
  • ADAM·CITE — AI Citation Audit, Named Human Reviewer: https://cite.adampulse.us/
  • Cited Digital — Is Your Website Invisible to AI Search?: https://citeddigital.co/audit/
  • Full AI Audit — Deep AI Visibility Analysis | citelayer: https://citelayer-ai.com/services/ai-audit/
  • AI Citation Architecture Agency | CiteWorks Studio: https://citeworksstudio.com/resources/ai-citation-architecture-agency
  • Audits — Clear Cited (Starter, Full, Comprehensive: https://clearcited.com/pricing/audits/
  • Technical SEO + AEO Audit | 413-Check AI Readiness Diagnostic | GetCited: https://getcited.marketing/products/technical-seo-aeo-audit
  • AI Citation Audit | 5W — The Communications Firm Built for the AI Era: https://www.5wpr.com/ai-citation-audit/
  • AI SEO Audit Software | Citemeter: https://www.citemeter.com/ai-seo-audit
  • Pricing — YouCited: https://youcited.com/pricing
  • Official pricing and terms source: https://becited.io#pricing
  • Official pricing and terms source: https://becited.io/terms
  • Additional AI research evidence172 records
    1. AI research evidence record grok:0
    2. AI research evidence record kimi:search_2026_09_17
    3. AI research evidence record openai:c1
    4. AI research evidence record anthropic:2-5
    5. AI research evidence record anthropic:2-6
    6. AI research evidence record anthropic:2-7
    7. AI research evidence record anthropic:2-8
    8. AI research evidence record perplexity:1
    9. AI research evidence record perplexity:2
    10. AI research evidence record perplexity:3
    11. AI research evidence record google:1.3.2
    12. AI research evidence record grok:0
    13. AI research evidence record google:1.3.4
    14. AI research evidence record openai:c1
    15. AI research evidence record anthropic:28-2
    16. AI research evidence record perplexity:1
    17. AI research evidence record perplexity:3
    18. AI research evidence record perplexity:13
    19. AI research evidence record openai:c2
    20. AI research evidence record anthropic:2-16
    21. AI research evidence record anthropic:2-19
    22. AI research evidence record anthropic:12-3
    23. AI research evidence record google:1.3.1
    24. AI research evidence record grok:4
    25. AI research evidence record perplexity:6
    26. AI research evidence record openai:c3
    27. AI research evidence record perplexity:11
    28. AI research evidence record perplexity:12
    29. AI research evidence record perplexity:15
    30. AI research evidence record openai:c1
    31. AI research evidence record anthropic:2-5
    32. AI research evidence record anthropic:2-6
    33. AI research evidence record anthropic:2-7
    34. AI research evidence record anthropic:2-8
    35. AI research evidence record grok:0
    36. AI research evidence record perplexity:1
    37. AI research evidence record perplexity:2
    38. AI research evidence record perplexity:3
    39. AI research evidence record google:1.3.2
    40. AI research evidence record deepseek:c9
    41. AI research evidence record anthropic:28-2
    42. AI research evidence record perplexity:13
    43. AI research evidence record google:1.3.1
    44. AI research evidence record grok:4
    45. AI research evidence record perplexity:6
    46. AI research evidence record anthropic:2-16
    47. AI research evidence record anthropic:2-17
    48. AI research evidence record anthropic:12-3
    49. AI research evidence record google:1.3.2
    50. AI research evidence record grok:0
    51. AI research evidence record openai:c1
    52. AI research evidence record anthropic:2-5
    53. AI research evidence record perplexity:1
    54. AI research evidence record deepseek:c1
    55. AI research evidence record kimi:search_2026_09_17
    56. AI research evidence record deepseek:c9
    57. AI research evidence record anthropic:37-1
    58. AI research evidence record anthropic:2-6
    59. AI research evidence record perplexity:2
    60. AI research evidence record perplexity:14
    61. AI research evidence record anthropic:37-8
    62. AI research evidence record anthropic:37-9
    63. AI research evidence record anthropic:37-10
    64. AI research evidence record openai:c2
    65. AI research evidence record anthropic:28-2
    66. AI research evidence record anthropic:39-5
    67. AI research evidence record anthropic:39-6
    68. AI research evidence record anthropic:2-1
    69. AI research evidence record perplexity:4
    70. AI research evidence record perplexity:5
    71. AI research evidence record perplexity:11
    72. AI research evidence record perplexity:12
    73. AI research evidence record openai:c1
    74. AI research evidence record anthropic:2-1
    75. AI research evidence record perplexity:14
    76. AI research evidence record anthropic:2-26
    77. AI research evidence record anthropic:28-5
    78. AI research evidence record anthropic:28-6
    79. AI research evidence record grok:0
    80. AI research evidence record google:1.3.4
    81. AI research evidence record perplexity:1
    82. AI research evidence record perplexity:3
    83. AI research evidence record perplexity:13
    84. AI research evidence record openai:c1
    85. AI research evidence record openai:c2
    86. AI research evidence record perplexity:11
    87. AI research evidence record perplexity:12
    88. AI research evidence record anthropic:2-8
    89. AI research evidence record deepseek:c9
    90. AI research evidence record openai:c1
    91. AI research evidence record anthropic:2-5
    92. AI research evidence record anthropic:2-7
    93. AI research evidence record anthropic:2-8
    94. AI research evidence record anthropic:2-26
    95. AI research evidence record anthropic:2-33
    96. AI research evidence record perplexity:1
    97. AI research evidence record anthropic:2-16
    98. AI research evidence record anthropic:2-18
    99. AI research evidence record anthropic:2-19
    100. AI research evidence record anthropic:12-3
    101. AI research evidence record grok:0
    102. AI research evidence record google:1.3.4
    103. AI research evidence record openai:c1
    104. AI research evidence record anthropic:2-6
    105. AI research evidence record perplexity:2
    106. AI research evidence record perplexity:14
    107. AI research evidence record anthropic:41-1
    108. AI research evidence record anthropic:41-2
    109. AI research evidence record anthropic:41-3
    110. AI research evidence record perplexity:11
    111. AI research evidence record perplexity:12
    112. AI research evidence record anthropic:39-5
    113. AI research evidence record anthropic:39-6
    114. AI research evidence record anthropic:37-1
    115. AI research evidence record grok:0
    116. AI research evidence record google:1.3.2
    117. AI research evidence record openai:c1
    118. AI research evidence record anthropic:37-1
    119. AI research evidence record perplexity:11
    120. AI research evidence record perplexity:12
    121. AI research evidence record anthropic:39-5
    122. AI research evidence record anthropic:39-6
    123. AI research evidence record perplexity:15
    124. AI research evidence record anthropic:41-1
    125. AI research evidence record anthropic:41-2
    126. AI research evidence record anthropic:41-3
    127. AI research evidence record deepseek:c2
    128. AI research evidence record deepseek:c3
    129. AI research evidence record deepseek:c4
    130. AI research evidence record deepseek:c5
    131. AI research evidence record deepseek:c6
    132. AI research evidence record kimi:adamcite_2026
    133. AI research evidence record kimi:citeddigital_2026
    134. AI research evidence record kimi:citelayer_2026
    135. AI research evidence record kimi:youcited_2026
    136. AI research evidence record openai:c1
    137. AI research evidence record anthropic:39-5
    138. AI research evidence record anthropic:39-6
    139. AI research evidence record perplexity:1
    140. AI research evidence record openai:c2
    141. AI research evidence record anthropic:37-8
    142. AI research evidence record anthropic:37-9
    143. AI research evidence record anthropic:37-10
    144. AI research evidence record anthropic:2-5
    145. AI research evidence record anthropic:2-6
    146. AI research evidence record anthropic:37-1
    147. AI research evidence record grok:4
    148. AI research evidence record perplexity:6
    149. AI research evidence record google:1.3.4
    150. AI research evidence record grok:0
    151. AI research evidence record google:1.3.2
    152. AI research evidence record openai:c1
    153. AI research evidence record anthropic:28-2
    154. AI research evidence record perplexity:1
    155. AI research evidence record grok:0
    156. AI research evidence record google:1.3.1
    157. AI research evidence record openai:c3
    158. AI research evidence record perplexity:11
    159. AI research evidence record perplexity:12
    160. AI research evidence record perplexity:15
    161. AI research evidence record deepseek:c1
    162. AI research evidence record deepseek:c9
    163. AI research evidence record kimi:search_2026_09_17
    164. AI research evidence record openai:c1
    165. AI research evidence record anthropic:2-1
    166. AI research evidence record openai:c2
    167. AI research evidence record grok:4
    168. AI research evidence record anthropic:2-6
    169. AI research evidence record perplexity:2
    170. AI research evidence record perplexity:14
    171. AI research evidence record perplexity:4
    172. AI research evidence record perplexity:5

Independent Sources

  • Best Citation Analysis Service for AI SEO: The 2026 Complete Review - 12AM Agency: https://12amagency.com/blog/best-citation-analysis-service-for-ai-seo/
  • tobecited Pricing, Cost & Reviews: https://www.capterra.co.uk/software/1112251/tobecited
  • tobecited Pricing 2026: https://www.g2.com/products/tobecited/pricing
  • tobecited Software Reviews, Demo & Pricing - 2026: https://www.softwareadvice.com/product/564428-tobecited/
  • Additional AI research evidence172 records
    1. AI research evidence record grok:0
    2. AI research evidence record kimi:search_2026_09_17
    3. AI research evidence record openai:c1
    4. AI research evidence record anthropic:2-5
    5. AI research evidence record anthropic:2-6
    6. AI research evidence record anthropic:2-7
    7. AI research evidence record anthropic:2-8
    8. AI research evidence record perplexity:1
    9. AI research evidence record perplexity:2
    10. AI research evidence record perplexity:3
    11. AI research evidence record google:1.3.2
    12. AI research evidence record grok:0
    13. AI research evidence record google:1.3.4
    14. AI research evidence record openai:c1
    15. AI research evidence record anthropic:28-2
    16. AI research evidence record perplexity:1
    17. AI research evidence record perplexity:3
    18. AI research evidence record perplexity:13
    19. AI research evidence record openai:c2
    20. AI research evidence record anthropic:2-16
    21. AI research evidence record anthropic:2-19
    22. AI research evidence record anthropic:12-3
    23. AI research evidence record google:1.3.1
    24. AI research evidence record grok:4
    25. AI research evidence record perplexity:6
    26. AI research evidence record openai:c3
    27. AI research evidence record perplexity:11
    28. AI research evidence record perplexity:12
    29. AI research evidence record perplexity:15
    30. AI research evidence record openai:c1
    31. AI research evidence record anthropic:2-5
    32. AI research evidence record anthropic:2-6
    33. AI research evidence record anthropic:2-7
    34. AI research evidence record anthropic:2-8
    35. AI research evidence record grok:0
    36. AI research evidence record perplexity:1
    37. AI research evidence record perplexity:2
    38. AI research evidence record perplexity:3
    39. AI research evidence record google:1.3.2
    40. AI research evidence record deepseek:c9
    41. AI research evidence record anthropic:28-2
    42. AI research evidence record perplexity:13
    43. AI research evidence record google:1.3.1
    44. AI research evidence record grok:4
    45. AI research evidence record perplexity:6
    46. AI research evidence record anthropic:2-16
    47. AI research evidence record anthropic:2-17
    48. AI research evidence record anthropic:12-3
    49. AI research evidence record google:1.3.2
    50. AI research evidence record grok:0
    51. AI research evidence record openai:c1
    52. AI research evidence record anthropic:2-5
    53. AI research evidence record perplexity:1
    54. AI research evidence record deepseek:c1
    55. AI research evidence record kimi:search_2026_09_17
    56. AI research evidence record deepseek:c9
    57. AI research evidence record anthropic:37-1
    58. AI research evidence record anthropic:2-6
    59. AI research evidence record perplexity:2
    60. AI research evidence record perplexity:14
    61. AI research evidence record anthropic:37-8
    62. AI research evidence record anthropic:37-9
    63. AI research evidence record anthropic:37-10
    64. AI research evidence record openai:c2
    65. AI research evidence record anthropic:28-2
    66. AI research evidence record anthropic:39-5
    67. AI research evidence record anthropic:39-6
    68. AI research evidence record anthropic:2-1
    69. AI research evidence record perplexity:4
    70. AI research evidence record perplexity:5
    71. AI research evidence record perplexity:11
    72. AI research evidence record perplexity:12
    73. AI research evidence record openai:c1
    74. AI research evidence record anthropic:2-1
    75. AI research evidence record perplexity:14
    76. AI research evidence record anthropic:2-26
    77. AI research evidence record anthropic:28-5
    78. AI research evidence record anthropic:28-6
    79. AI research evidence record grok:0
    80. AI research evidence record google:1.3.4
    81. AI research evidence record perplexity:1
    82. AI research evidence record perplexity:3
    83. AI research evidence record perplexity:13
    84. AI research evidence record openai:c1
    85. AI research evidence record openai:c2
    86. AI research evidence record perplexity:11
    87. AI research evidence record perplexity:12
    88. AI research evidence record anthropic:2-8
    89. AI research evidence record deepseek:c9
    90. AI research evidence record openai:c1
    91. AI research evidence record anthropic:2-5
    92. AI research evidence record anthropic:2-7
    93. AI research evidence record anthropic:2-8
    94. AI research evidence record anthropic:2-26
    95. AI research evidence record anthropic:2-33
    96. AI research evidence record perplexity:1
    97. AI research evidence record anthropic:2-16
    98. AI research evidence record anthropic:2-18
    99. AI research evidence record anthropic:2-19
    100. AI research evidence record anthropic:12-3
    101. AI research evidence record grok:0
    102. AI research evidence record google:1.3.4
    103. AI research evidence record openai:c1
    104. AI research evidence record anthropic:2-6
    105. AI research evidence record perplexity:2
    106. AI research evidence record perplexity:14
    107. AI research evidence record anthropic:41-1
    108. AI research evidence record anthropic:41-2
    109. AI research evidence record anthropic:41-3
    110. AI research evidence record perplexity:11
    111. AI research evidence record perplexity:12
    112. AI research evidence record anthropic:39-5
    113. AI research evidence record anthropic:39-6
    114. AI research evidence record anthropic:37-1
    115. AI research evidence record grok:0
    116. AI research evidence record google:1.3.2
    117. AI research evidence record openai:c1
    118. AI research evidence record anthropic:37-1
    119. AI research evidence record perplexity:11
    120. AI research evidence record perplexity:12
    121. AI research evidence record anthropic:39-5
    122. AI research evidence record anthropic:39-6
    123. AI research evidence record perplexity:15
    124. AI research evidence record anthropic:41-1
    125. AI research evidence record anthropic:41-2
    126. AI research evidence record anthropic:41-3
    127. AI research evidence record deepseek:c2
    128. AI research evidence record deepseek:c3
    129. AI research evidence record deepseek:c4
    130. AI research evidence record deepseek:c5
    131. AI research evidence record deepseek:c6
    132. AI research evidence record kimi:adamcite_2026
    133. AI research evidence record kimi:citeddigital_2026
    134. AI research evidence record kimi:citelayer_2026
    135. AI research evidence record kimi:youcited_2026
    136. AI research evidence record openai:c1
    137. AI research evidence record anthropic:39-5
    138. AI research evidence record anthropic:39-6
    139. AI research evidence record perplexity:1
    140. AI research evidence record openai:c2
    141. AI research evidence record anthropic:37-8
    142. AI research evidence record anthropic:37-9
    143. AI research evidence record anthropic:37-10
    144. AI research evidence record anthropic:2-5
    145. AI research evidence record anthropic:2-6
    146. AI research evidence record anthropic:37-1
    147. AI research evidence record grok:4
    148. AI research evidence record perplexity:6
    149. AI research evidence record google:1.3.4
    150. AI research evidence record grok:0
    151. AI research evidence record google:1.3.2
    152. AI research evidence record openai:c1
    153. AI research evidence record anthropic:28-2
    154. AI research evidence record perplexity:1
    155. AI research evidence record grok:0
    156. AI research evidence record google:1.3.1
    157. AI research evidence record openai:c3
    158. AI research evidence record perplexity:11
    159. AI research evidence record perplexity:12
    160. AI research evidence record perplexity:15
    161. AI research evidence record deepseek:c1
    162. AI research evidence record deepseek:c9
    163. AI research evidence record kimi:search_2026_09_17
    164. AI research evidence record openai:c1
    165. AI research evidence record anthropic:2-1
    166. AI research evidence record openai:c2
    167. AI research evidence record grok:4
    168. AI research evidence record anthropic:2-6
    169. AI research evidence record perplexity:2
    170. AI research evidence record perplexity:14
    171. AI research evidence record perplexity:4
    172. AI research evidence record perplexity:5

Other Sources

  • AI Visibility Pricing — Transparent, Published Plans | citelayer: https://citelayer-ai.com/pricing/
  • Additional AI research evidence172 records
    1. AI research evidence record grok:0
    2. AI research evidence record kimi:search_2026_09_17
    3. AI research evidence record openai:c1
    4. AI research evidence record anthropic:2-5
    5. AI research evidence record anthropic:2-6
    6. AI research evidence record anthropic:2-7
    7. AI research evidence record anthropic:2-8
    8. AI research evidence record perplexity:1
    9. AI research evidence record perplexity:2
    10. AI research evidence record perplexity:3
    11. AI research evidence record google:1.3.2
    12. AI research evidence record grok:0
    13. AI research evidence record google:1.3.4
    14. AI research evidence record openai:c1
    15. AI research evidence record anthropic:28-2
    16. AI research evidence record perplexity:1
    17. AI research evidence record perplexity:3
    18. AI research evidence record perplexity:13
    19. AI research evidence record openai:c2
    20. AI research evidence record anthropic:2-16
    21. AI research evidence record anthropic:2-19
    22. AI research evidence record anthropic:12-3
    23. AI research evidence record google:1.3.1
    24. AI research evidence record grok:4
    25. AI research evidence record perplexity:6
    26. AI research evidence record openai:c3
    27. AI research evidence record perplexity:11
    28. AI research evidence record perplexity:12
    29. AI research evidence record perplexity:15
    30. AI research evidence record openai:c1
    31. AI research evidence record anthropic:2-5
    32. AI research evidence record anthropic:2-6
    33. AI research evidence record anthropic:2-7
    34. AI research evidence record anthropic:2-8
    35. AI research evidence record grok:0
    36. AI research evidence record perplexity:1
    37. AI research evidence record perplexity:2
    38. AI research evidence record perplexity:3
    39. AI research evidence record google:1.3.2
    40. AI research evidence record deepseek:c9
    41. AI research evidence record anthropic:28-2
    42. AI research evidence record perplexity:13
    43. AI research evidence record google:1.3.1
    44. AI research evidence record grok:4
    45. AI research evidence record perplexity:6
    46. AI research evidence record anthropic:2-16
    47. AI research evidence record anthropic:2-17
    48. AI research evidence record anthropic:12-3
    49. AI research evidence record google:1.3.2
    50. AI research evidence record grok:0
    51. AI research evidence record openai:c1
    52. AI research evidence record anthropic:2-5
    53. AI research evidence record perplexity:1
    54. AI research evidence record deepseek:c1
    55. AI research evidence record kimi:search_2026_09_17
    56. AI research evidence record deepseek:c9
    57. AI research evidence record anthropic:37-1
    58. AI research evidence record anthropic:2-6
    59. AI research evidence record perplexity:2
    60. AI research evidence record perplexity:14
    61. AI research evidence record anthropic:37-8
    62. AI research evidence record anthropic:37-9
    63. AI research evidence record anthropic:37-10
    64. AI research evidence record openai:c2
    65. AI research evidence record anthropic:28-2
    66. AI research evidence record anthropic:39-5
    67. AI research evidence record anthropic:39-6
    68. AI research evidence record anthropic:2-1
    69. AI research evidence record perplexity:4
    70. AI research evidence record perplexity:5
    71. AI research evidence record perplexity:11
    72. AI research evidence record perplexity:12
    73. AI research evidence record openai:c1
    74. AI research evidence record anthropic:2-1
    75. AI research evidence record perplexity:14
    76. AI research evidence record anthropic:2-26
    77. AI research evidence record anthropic:28-5
    78. AI research evidence record anthropic:28-6
    79. AI research evidence record grok:0
    80. AI research evidence record google:1.3.4
    81. AI research evidence record perplexity:1
    82. AI research evidence record perplexity:3
    83. AI research evidence record perplexity:13
    84. AI research evidence record openai:c1
    85. AI research evidence record openai:c2
    86. AI research evidence record perplexity:11
    87. AI research evidence record perplexity:12
    88. AI research evidence record anthropic:2-8
    89. AI research evidence record deepseek:c9
    90. AI research evidence record openai:c1
    91. AI research evidence record anthropic:2-5
    92. AI research evidence record anthropic:2-7
    93. AI research evidence record anthropic:2-8
    94. AI research evidence record anthropic:2-26
    95. AI research evidence record anthropic:2-33
    96. AI research evidence record perplexity:1
    97. AI research evidence record anthropic:2-16
    98. AI research evidence record anthropic:2-18
    99. AI research evidence record anthropic:2-19
    100. AI research evidence record anthropic:12-3
    101. AI research evidence record grok:0
    102. AI research evidence record google:1.3.4
    103. AI research evidence record openai:c1
    104. AI research evidence record anthropic:2-6
    105. AI research evidence record perplexity:2
    106. AI research evidence record perplexity:14
    107. AI research evidence record anthropic:41-1
    108. AI research evidence record anthropic:41-2
    109. AI research evidence record anthropic:41-3
    110. AI research evidence record perplexity:11
    111. AI research evidence record perplexity:12
    112. AI research evidence record anthropic:39-5
    113. AI research evidence record anthropic:39-6
    114. AI research evidence record anthropic:37-1
    115. AI research evidence record grok:0
    116. AI research evidence record google:1.3.2
    117. AI research evidence record openai:c1
    118. AI research evidence record anthropic:37-1
    119. AI research evidence record perplexity:11
    120. AI research evidence record perplexity:12
    121. AI research evidence record anthropic:39-5
    122. AI research evidence record anthropic:39-6
    123. AI research evidence record perplexity:15
    124. AI research evidence record anthropic:41-1
    125. AI research evidence record anthropic:41-2
    126. AI research evidence record anthropic:41-3
    127. AI research evidence record deepseek:c2
    128. AI research evidence record deepseek:c3
    129. AI research evidence record deepseek:c4
    130. AI research evidence record deepseek:c5
    131. AI research evidence record deepseek:c6
    132. AI research evidence record kimi:adamcite_2026
    133. AI research evidence record kimi:citeddigital_2026
    134. AI research evidence record kimi:citelayer_2026
    135. AI research evidence record kimi:youcited_2026
    136. AI research evidence record openai:c1
    137. AI research evidence record anthropic:39-5
    138. AI research evidence record anthropic:39-6
    139. AI research evidence record perplexity:1
    140. AI research evidence record openai:c2
    141. AI research evidence record anthropic:37-8
    142. AI research evidence record anthropic:37-9
    143. AI research evidence record anthropic:37-10
    144. AI research evidence record anthropic:2-5
    145. AI research evidence record anthropic:2-6
    146. AI research evidence record anthropic:37-1
    147. AI research evidence record grok:4
    148. AI research evidence record perplexity:6
    149. AI research evidence record google:1.3.4
    150. AI research evidence record grok:0
    151. AI research evidence record google:1.3.2
    152. AI research evidence record openai:c1
    153. AI research evidence record anthropic:28-2
    154. AI research evidence record perplexity:1
    155. AI research evidence record grok:0
    156. AI research evidence record google:1.3.1
    157. AI research evidence record openai:c3
    158. AI research evidence record perplexity:11
    159. AI research evidence record perplexity:12
    160. AI research evidence record perplexity:15
    161. AI research evidence record deepseek:c1
    162. AI research evidence record deepseek:c9
    163. AI research evidence record kimi:search_2026_09_17
    164. AI research evidence record openai:c1
    165. AI research evidence record anthropic:2-1
    166. AI research evidence record openai:c2
    167. AI research evidence record grok:4
    168. AI research evidence record anthropic:2-6
    169. AI research evidence record perplexity:2
    170. AI research evidence record perplexity:14
    171. AI research evidence record perplexity:4
    172. AI research evidence record perplexity:5

Verify this research

Review the study details behind this page or download the public machine-readable verification record.

Study date
September 17, 2026
Platforms analyzed
7
Source records
27
Ranking mentions
2 of 7
Platform share
29%
Final consensus rank
#6

Research trail and source mix

Configured platforms

openai, anthropic, deepseek, grok, perplexity, kimi, google

Source mix

4 independent · 22 company-owned · 1 unclear

Evidence support

17 direct · 9 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 d1f8c7cd6c4b93b7c9ea68ba677461fe20db9157564a9d28ed6087d5cc0e6130