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Veza Digital AI Search Audit Fit Review for Companies Losing Google Traffic

Veza Digital is a good fit for companies losing Google traffic that want an agency-led AI search audit comparing traditional search visibility with AI recommendations, citations, competitor performance, high-intent prompts, source patterns, and GEO opportunities.

Research: 2026-09-187 usable platform responsesRead the methodology ↗

Answer Capsule

Veza Digital is a good fit for companies losing Google traffic that want an agency-led AI search audit comparing traditional search visibility with AI recommendations, citations, competitor performance, high-intent prompts, source patterns, and GEO opportunities. Two of seven platforms named Veza Digital during ranking discovery — Anthropic (rank 1) and Kimi (rank 5) — giving it a 28.6% share of included platform responses and an average listed rank of 3.0. The strongest reason to consider it is the productized AI Search Visibility Audit: a fixed $4,500 diagnostic with 30 days of continuous tracking across six named AI platforms, competitor benchmarking, and a 90-day action plan the buyer owns outright [1]. The main limitation is evidence quality: nearly all public detail is company-owned, methodology specifics are undisclosed, and the audit does not clearly substitute for a forensic Google traffic-loss investigation.

Research Snapshot

FieldValue
Platform mentions in ranking stage2 of 7 platforms (Anthropic, Kimi)
Share of included platform responses28.6%
Average listed rank3.0
Best listed rank1 (Anthropic)
Relevant product/model/planAI Search Visibility Audit; AI Search Visibility Audit with 30-day continuous tracking
Overall use-case fitGood (per OpenAI, Anthropic, Perplexity); Strong (per Google, Grok); Uncertain (per DeepSeek, Kimi)
Research date2026-09-18

Why Veza Digital Qualified for This Study

Questions This Section Answers

  • Is Veza Digital a good choice for AI Search Audits for Companies Losing Google Traffic?
  • How many AI platforms named Veza Digital in this study's ranking stage?

Veza Digital qualified because it publishes a named service that maps directly onto the study's use case: an audit comparing traditional search visibility with AI recommendations, citations, competitor performance, high-intent prompts, source patterns, and GEO opportunities [4]. It was named by two of the seven included platforms during ranking discovery — Anthropic at rank 1 and Kimi at rank 5 — which is the minimum threshold for inclusion in this study. That is a limited mention count, not broad consensus, and it should be read as directional rather than as a quality signal.

All seven platforms evaluated fit, but only two named the entity during ranking discovery. Fit ratings split: Google and Grok rated the fit "strong," OpenAI, Anthropic, and Perplexity rated it "good," and DeepSeek and Kimi rated it "uncertain." The uncertainty in the latter two cases stems from retrieval failures and missing pricing rather than from negative findings — DeepSeek's research pass could not retrieve the audit page at all [6], and Kimi reported no publicly disclosed pricing on the pages it reviewed [4].

The company is an established agency: an independent Clutch profile shows 45 reviews with typical broader project costs of $10,000 to $50,000 [7]. That context matters because the $4,500 audit sits at the entry point of the agency's wider engagement range, and the audit is explicitly designed to feed into a larger WAIO (Website AI Optimization) engagement priced at $8,000 per month [5].

The Product, Model, Plan, or Service Most Relevant to AI Search Audits for Companies Losing Google Traffic

Questions This Section Answers

  • What exactly does Veza Digital's AI Search Visibility Audit include for a company losing Google traffic?
  • Does the Veza Digital audit compare traditional search visibility against AI recommendations and citations?
  • Which AI platforms does the $4,500 Veza Digital audit test?

The relevant offer is the AI Search Visibility Audit, a fixed-price diagnostic listed at $4,500 that Veza Digital describes as a 30-page report covering ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, and Copilot, with 30 days of continuous tracking, competitor benchmarking, technical and content review, entity analysis, raw tracking data, and a 90-day action plan [10]. A free AEO audit is also published as a lower-commitment entry point with a five-business-day turnaround and manual review across six platforms [15].

On the specific question of traditional-versus-AI comparison, the evidence is mixed. Veza Digital positions the audit to identify the gap between conventional SEO performance and AI visibility, and one platform reported that the audit measures current AI traffic, conversion versus organic, and conversion gaps [18]. But the public scope does not clearly promise a quantified causal analysis of Google traffic losses or a complete Google ranking-recovery audit [10]. Buyers should treat the Google-traffic-loss connection as a diagnostic rationale, not as proof that AI visibility caused the decline or that the audit will restore traffic.

Prompt construction is described as custom: typically 50 to 100 prompts built from target keywords, competitor keywords, sales-team input, and industry buyer questions, with client approval before tracking begins [10]. The stated citation analysis covers which platforms cite the brand, citation frequency, query-level performance, citation accuracy, citation stability or volatility, competitor sources, and the content associated with competitor citations [10]. Competitor benchmarking is capped at up to three competitors, and the content review covers roughly 20 to 30 pages [10].

The delivery timeline is approximately six weeks from kickoff: week 1 intake and prompt configuration, weeks 2 through 5 continuous tracking, week 6 analysis, report production, and a 60-minute strategy call [19]. Veza Digital states the 30-day tracking window cannot be compressed without losing pattern data [24].

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree the Veza Digital audit delivers for companies losing Google traffic?
  • Is the Veza Digital AI Search Visibility Audit's $4,500 price confirmed across platforms?

The clearest cross-platform agreement concerns scope and price. Multiple platforms independently reported the same core description: a $4,500 fixed-price audit with 30 days of continuous tracking across six named AI platforms, competitor benchmarking, and a 90-day action plan [26]. Independent sources repeat the $4,500 figure as well, including IT Marketz and a CitedMetrics pricing survey [32].

Platforms also agreed on the deliverable structure: a 30-page branded report, raw export-ready citation data, a prioritized 90-day action plan, and a 60-minute strategy call, with the report owned outright by the client and usable with an internal team or another agency [26]. Several platforms highlighted the 30-day tracking window as the differentiator versus one-time snapshot audits, given that large language models are non-deterministic and a single run measures noise as much as signal [40].

A third area of agreement is the free AEO audit as a risk-reduction path: manual review across six platforms, baseline citation and competitor analysis, five-business-day delivery, and no commitment required [43]. This agreement reflects consistent company-published material rather than independent verification, and it does not establish that the audit produces accurate results or recovered traffic.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Why did some AI platforms rate Veza Digital's fit as uncertain for companies losing Google traffic?
  • Is Veza Digital's audit methodology independently verified?

Fit ratings diverged materially. Google and Grok rated the fit "strong," citing precise product alignment and transparent pricing [47]. OpenAI, Anthropic, and Perplexity rated it "good," each flagging the same cluster of concerns: company-controlled evidence, undisclosed methodology, and no independent outcome validation [49]. DeepSeek and Kimi rated it "uncertain" — DeepSeek because its research pass could not retrieve the audit page content at all, leaving scope, deliverables, and the 30-day tracking variant unverified [52], and Kimi because no pricing was publicly disclosed on the pages it reviewed and no third-party reviews or customer outcomes were found [53].

These disagreements are partly retrieval artifacts rather than substantive disputes. DeepSeek's research ran without search enabled and on a different date (2026-06-11 versus the 2026-09-18 study date), and Kimi's pass did not surface the published $4,500 price that six other platforms and multiple independent sources reported. Missing research is not evidence of absence, and buyers should not read the "uncertain" ratings as findings that the service lacks pricing or scope.

Genuine unresolved uncertainty centers on methodology. Veza Digital does not publicly specify how many runs per prompt are conducted, whether testing is front-end or API-based, or how prompts are sourced [54]. One platform noted that Evertune's benchmark is roughly 100 runs per prompt and that a vendor unable to answer run-count questions is effectively reporting one roll of dice [54]. The division of labor between Ahrefs Brand Radar data and Veza Digital's manual testing is also unclear [49]. Conversion-gap measurement is claimed but the attribution mechanism — pixel, referrer header, or inference — is not disclosed [56].

A further unresolved point is Veza Digital's own AI visibility. One Veza article on AI monitoring tools ranked at Search Console position 8.9 with 607 impressions and zero clicks over three months, a data point the company published itself without explanation [57]. This is company-reported and does not establish a causal gap between its advisory expertise and its own visibility, but it is a legitimate diligence question.

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Which features of the Veza Digital audit matter most for a company losing Google traffic?
  • Does the Veza Digital audit cover technical GEO fixes like schema and AI crawler access?

The features most relevant to a Google-traffic-loss buyer are the cross-platform citation analysis, the competitor gap map, and the technical and content GEO review. The stated technical review covers structured data, AI crawler access, page speed, semantic HTML, entity paragraphs, front-loaded answers, FAQ schema, data tables, definition blocks, content freshness, and missing topics [58]. Content gap analysis identifies topics buyers ask AI about where the brand has zero coverage (official:C1).

Competitor benchmarking runs head-to-head against up to three named competitors across the six listed AI platforms, producing a competitive gap map of absent queries and topics [58]. The audit is described as platform-agnostic, with guidance for Webflow, WordPress, HubSpot, Contentful, and custom builds [60]. However, implementation expertise is strongest on Webflow: Webflow clients receive deeper technical recommendations and direct implementation of fixes such as schema and AI crawler configuration, while other platforms receive specifications for the client's team to execute [63].

Client-side prerequisites are explicit: access to Google Search Console and Google Analytics, a list of the top three competitors, and input from the sales team on prospect evaluation criteria [67]. Veza Digital states it handles everything else [73]. The audit is delivered as a managed service rather than a self-serve tool; Veza Digital does not sell a standalone AI monitoring product [75].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does the Veza Digital AI Search Visibility Audit cost, and is the $4,500 fee credited toward anything?
  • What ongoing costs apply after the Veza Digital audit's 30-day tracking ends?

The published price is $4,500 fixed for the AI Search Visibility Audit, with no separate audit, tracking, or report fee identified [77]. Veza Digital states that if the buyer moves into a WAIO engagement at $8,000 per month within 60 days of receiving the audit, the $4,500 is credited in full toward the first month [77]. Ongoing AEO implementation retainers are described as typically starting at $8,000 per month on a 12-month standard engagement, and full architecture setup or CMS migrations have a stated minimum project size of $28,000 [82].

Contract terms are only partly published. Veza Digital states there is no lock-in and that the buyer owns the report and raw data [77]. The public pages do not specify payment schedule, refund policy, rescheduling terms, data-retention terms, confidentiality terms, or cancellation mechanics [77]. The free AEO audit is described as requiring no commitment [84].

Cost context matters for this use case. An independent source places a comparable IT Marketz AI visibility audit at $630 to $700, making Veza Digital's offering roughly six to seven times higher [86]. Veza Digital's own page acknowledges that most AI audits on the market cost $500 to $1,500 and characterizes those as snapshot audits, positioning its $4,500 fee as buying 30 days of tracking, manual analysis, and a board-ready action plan (official:C1). Ongoing monitoring beyond the included 30 days is not clearly priced on the audit page [77]. Buyers should also note that internal costs for providing Search Console, Analytics, competitor, and sales-input access are not quantified [77].

Best Suited For

Questions This Section Answers

  • Who gets the most value from the Veza Digital AI Search Visibility Audit?
  • Is Veza Digital a good fit for B2B companies that want an agency-led GEO diagnostic?

Veza Digital is best suited to B2B companies that want an agency-led AI search and GEO diagnostic rather than raw monitoring data [88]. The strongest fits are teams comparing traditional search visibility with AI recommendations and citations, teams needing competitor benchmarking plus custom high-intent prompts and a prioritized action plan, and organizations willing to pay $4,500 for a six-week diagnostic and then execute internally or with another agency [88].

Platforms specifically named B2B SaaS, tech, and fintech companies experiencing a decline in traditional Google traffic as the core audience, along with organizations that want a structured 30-day tracking framework instead of a single-point-in-time snapshot [91]. Webflow-hosted sites, or companies planning to migrate to Webflow, get additional value because implementation support is deepest there [93].

Buyers who already suspect an AI visibility gap and want expert diagnosis before committing to execution are a natural fit, as are organizations that want a standalone audit report and 90-day action plan independent of any implementation commitment [89]. The free AEO audit provides a low-risk way to test fit before purchasing the paid diagnostic [96].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Veza Digital for an AI search audit after losing Google traffic?
  • Is Veza Digital a poor fit for buyers who need continuous monthly AI monitoring?

Veza Digital is probably not the best choice for small businesses needing only a quick, inexpensive automated snapshot [98]. Buyers prioritizing lowest cost should note the independent comparison placing a comparable audit at $630 to $700 versus Veza Digital's $4,500 [99].

Companies needing a full Google Analytics and Search Console forensic audit, a ranking-recovery engagement, or guaranteed traffic recovery are also a poor fit: the service page does not establish that Veza Digital can identify the precise causes of a Google organic traffic decline [98]. Teams whose primary requirement is long-term platform monitoring rather than a one-time audit with 30 days of tracking should look elsewhere, since no continuous tracking beyond the initial window is included [98].

Buyers requiring independently verified customer outcomes or third-party validation should treat the current evidence base cautiously, because the available material is primarily company-owned [98]. Non-Webflow sites that want technical fixes executed rather than specified may also find the deliverable less actionable, since those clients receive specs without direct implementation support [104]. Finally, the six-week delivery timeline may be too slow for buyers needing immediate triage [98].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Veza Digital for a buyer who needs continuous AI visibility monitoring?
  • When is a cheaper AI visibility audit a better choice than Veza Digital's $4,500 diagnostic?

A lower-cost automated AI visibility platform may be better when the buyer needs continuous monitoring, broader prompt volume, alerts, or dashboard access rather than a consulting report [107]. One platform named Profound at $99 to $499 per month for multi-engine coverage and revenue attribution workflows, and noted that Veza Digital's audit is a one-time diagnostic only [108]. Another named IT Marketz at $630 to $700 fixed with transparent methodology and no contract required [109].

A conventional technical SEO or analytics specialist may be better when the main problem is a Google traffic decline requiring crawl, indexing, ranking, backlink, algorithm-update, conversion, or Search Console forensics [107]. A specialist with independently documented case studies may be preferable when procurement requires verified customer outcomes or third-party evidence [107]. An enterprise search-intelligence provider may be better when the buyer needs multi-market localization, large-scale prompt testing, API access, governance, or formal reporting workflows [107].

For rapid assessment, free automated tools such as Adamigo AI Search Grader or the Semrush and Ahrefs AI visibility modules provide an immediate baseline in hours versus Veza Digital's six-week timeline [108]. One platform also named GEORaiser at $97 to $999 one-time with a 10-dimension score and peer-reviewed methodology citations, TriRank at $399 one-time with a published unedited sample report, and Indexable AI with a 14-day diagnostic across six platforms [110]. These alternatives are platform-reported and were not independently validated in this study.

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Veza Digital before signing for the $4,500 audit?
  • How should a buyer verify Veza Digital's prompt methodology and Google traffic-loss analysis?

Buyers should confirm the following directly with Veza Digital, because the public pages do not answer them. Each item below is drawn from platform-identified gaps rather than from verified vendor commitments.

  • How many total prompts, prompt runs, repetitions, locations, languages, and devices are included, and how does that compare to the roughly 100 runs per prompt that one platform cited as an industry benchmark [113]?
  • Which exact Google Search Console and Google Analytics analyses are performed to diagnose the buyer's Google traffic loss, and will the audit separate branded from non-branded queries and distinguish organic, AI referral, direct, and other traffic [113]?
  • Which Ahrefs Brand Radar features and subscription access are included, who owns the underlying account or exports, and how is the division between third-party tool data and Veza Digital's manual testing defined [113]?
  • How are AI platform personalization, model changes, geographic variation, and answer volatility controlled, and are Google AI Overviews and AI Mode tested in the buyer's target United States markets with retained screenshots or result records [113]?
  • What exact pages fall inside the 20-to-30-page content review, can the scope be expanded, and what happens if a benchmarked competitor is not visible across all six platforms [113]?
  • What are the payment, refund, confidentiality, data-retention, and cancellation terms, and what ongoing monitoring options and prices exist after the included 30 days [113]?
  • Can Veza Digital provide references or independently verifiable case evidence for companies that lost Google traffic, and what is the typical distribution of recommendations in the 90-day action plan [113]?
  • For non-Webflow implementations, what level of technical support or clarification is available after delivery of the specifications [118]?

Final AI Consensus Verdict

Veza Digital earns a good fit rating for AI Search Audits for Companies Losing Google Traffic, with two of seven platforms naming it during ranking discovery and fit ratings ranging from strong to uncertain across the seven evaluated platforms. The productized AI Search Visibility Audit matches the requested criteria closely: six named AI platforms, custom high-intent prompts, citation and source-pattern analysis, competitor benchmarking, technical and content GEO review, 30 days of continuous tracking, and a client-owned 90-day action plan at a published $4,500 fixed price [120].

The rating is not stronger because the evidence base is thin in ways that matter to a buyer. Company-owned citations materially outnumber independent ones, no independent validation of methodology or outcomes was located, prompt run counts and testing approach are undisclosed, and the service does not clearly substitute for a forensic Google traffic-loss investigation [120]. The $4,500 price is roughly six to seven times a comparable independent audit, and the six-week timeline may not suit urgent recovery situations [127].

For buyers who want a structured, agency-led diagnostic that connects traditional search losses to AI visibility and produces an executable roadmap, Veza Digital is a reasonable shortlist candidate — particularly for B2B SaaS and Webflow-based sites. For buyers who need continuous monitoring, verified outcomes, or a rigorous Google traffic-loss forensic, other options are likely better. This review is part of a broader set of AI Search Audits for Companies Losing Google Traffic evaluations, and additional provider comparisons sit in the ai search audits market intelligence directory.

How This Review Was Produced

This review was produced from a structured multi-platform research run dated 2026-09-18. Seven AI platforms evaluated Veza Digital's fit for the specified use case: OpenAI (gpt-5.6-luna), Anthropic (claude-haiku-4-5-20251001), Google (gemini-3.5-flash), Grok (x-ai/grok-4.3), Perplexity (perplexity/sonar), Kimi (moonshotai/kimi-k2.6), and DeepSeek (deepseek-v4-flash). Six of the seven ran with search enabled; DeepSeek ran without search.

Ranking discovery counted only platforms that named Veza Digital during the ranking stage. Two did: Anthropic at rank 1 and Kimi at rank 5. All seven platforms then produced fit assessments, which are reported separately from the ranking counts. Fit ratings were: strong (Google, Grok), good (OpenAI, Anthropic, Perplexity), and uncertain (DeepSeek, Kimi).

No personal testing, customer interviews, or independent verification of vendor claims was performed. All factual claims are attributed to the platform that reported them, and company-owned sources are labeled as such throughout.

Methodology Limitations

Several limitations apply to this review. Company-owned citations materially outnumber independent citations, so vendor claims about scope, deliverables, and pricing should not be read as independently verified. Platform-reported research dates differ from the authoritative study date: DeepSeek's pass is dated 2026-06-11 while the study date is 2026-09-18, and platform-reported dates are provenance metadata rather than proof of freshness.

DeepSeek's research ran without search enabled and could not retrieve the audit page, which is why its fit rating is uncertain; missing research is not evidence that the service lacks scope or pricing. Kimi likewise reported no publicly disclosed pricing, a finding that conflicts with six other platforms and multiple independent sources reporting a $4,500 fixed price. These conflicts are disclosed rather than resolved.

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. No-search or model-opinion claims are labeled as platform-reported. AI platform behavior, availability, personalization, localization, and model changes may make audit results unstable and difficult to reproduce, and no public independent validation was found for claimed outcomes, citation accuracy, or return on investment.

Sources

Company-Owned Sources

  • GEO Audit Plans — AI Visibility Score | GEORaiser: https://georaiser.com/services
  • AI Search Audit | GEO Audit for Enterprise Brands — 14-Day Diagnostic | Indexable AI: https://indexableai.com/ai-search-audit/
  • AEO / AI Visibility Audit — $399 one-time | TriRank - AI Search Visibility: https://trirankai.com/audit
  • AI search visibility - Veza Digital: https://www.vezadigital.com/ai-search-visibility
  • AI Brand Visibility Tools 2026: A Buyer's Evaluation - Veza Digital: https://www.vezadigital.com/blog/ai-brand-visibility-tools-2026
  • AI Brand Visibility Tools 2026: A Buyer's Evaluation - Veza Digital: https://www.vezadigital.com/post/ai-brand-visibility-tools
  • Answer Engine Optimization (AEO) & GEO Agency - Veza Digital: https://www.vezadigital.com/services/aeo-agency
  • Free AEO Audit: AI Search Visibility Check: https://www.vezadigital.com/services/aeo-audit
  • Answer Engine Optimization (AEO) & GEO Agency: https://www.vezadigital.com/services/answer-engine-optimization
  • Free AEO Audit: AI Search Visibility Check - Veza Digital: https://www.vezadigital.com/services/free-aeo-audit
  • Official pricing and terms source: https://www.vezadigital.com/work-with-veza
  • Official pricing and terms source: https://www.vezadigital.com/legal/terms-of-service
  • Additional AI research evidence128 records
    1. AI research evidence record openai:c1
    2. AI research evidence record anthropic:1-38
    3. AI research evidence record anthropic:1-40
    4. AI research evidence record kimi:vezadigital-1
    5. AI research evidence record openai:c1
    6. AI research evidence record deepseek:c1
    7. AI research evidence record anthropic:10-1
    8. AI research evidence record anthropic:10-2
    9. AI research evidence record google:2.2.4
    10. AI research evidence record openai:c1
    11. AI research evidence record anthropic:1-38
    12. AI research evidence record anthropic:1-39
    13. AI research evidence record anthropic:1-40
    14. AI research evidence record google:2.2.1
    15. AI research evidence record openai:c3
    16. AI research evidence record perplexity:c2
    17. AI research evidence record anthropic:2-26
    18. AI research evidence record anthropic:19-4
    19. AI research evidence record anthropic:1-12
    20. AI research evidence record anthropic:1-13
    21. AI research evidence record anthropic:1-14
    22. AI research evidence record anthropic:1-15
    23. AI research evidence record anthropic:1-22
    24. AI research evidence record anthropic:1-16
    25. AI research evidence record anthropic:1-17
    26. AI research evidence record openai:c1
    27. AI research evidence record anthropic:1-6
    28. AI research evidence record anthropic:1-37
    29. AI research evidence record grok:0
    30. AI research evidence record perplexity:c1
    31. AI research evidence record google:1.1.1
    32. AI research evidence record anthropic:13-1
    33. AI research evidence record anthropic:13-8
    34. AI research evidence record perplexity:c7
    35. AI research evidence record perplexity:c8
    36. AI research evidence record anthropic:1-8
    37. AI research evidence record anthropic:1-10
    38. AI research evidence record anthropic:19-17
    39. AI research evidence record anthropic:19-19
    40. AI research evidence record anthropic:6-11
    41. AI research evidence record anthropic:6-12
    42. AI research evidence record google:1.1.3
    43. AI research evidence record openai:c3
    44. AI research evidence record perplexity:c2
    45. AI research evidence record anthropic:2-26
    46. AI research evidence record anthropic:2-27
    47. AI research evidence record google:1.1.1
    48. AI research evidence record grok:0
    49. AI research evidence record openai:c1
    50. AI research evidence record anthropic:1-1
    51. AI research evidence record perplexity:c1
    52. AI research evidence record deepseek:c1
    53. AI research evidence record kimi:vezadigital-1
    54. AI research evidence record anthropic:6-14
    55. AI research evidence record anthropic:6-15
    56. AI research evidence record anthropic:19-4
    57. AI research evidence record anthropic:6-9
    58. AI research evidence record openai:c1
    59. AI research evidence record anthropic:1-3
    60. AI research evidence record anthropic:1-25
    61. AI research evidence record anthropic:21-7
    62. AI research evidence record anthropic:21-8
    63. AI research evidence record anthropic:1-26
    64. AI research evidence record anthropic:1-27
    65. AI research evidence record anthropic:1-28
    66. AI research evidence record anthropic:21-9
    67. AI research evidence record anthropic:1-18
    68. AI research evidence record anthropic:1-19
    69. AI research evidence record anthropic:1-20
    70. AI research evidence record anthropic:19-27
    71. AI research evidence record anthropic:19-28
    72. AI research evidence record anthropic:19-29
    73. AI research evidence record anthropic:1-21
    74. AI research evidence record anthropic:19-30
    75. AI research evidence record anthropic:6-2
    76. AI research evidence record google:1.1.3
    77. AI research evidence record openai:c1
    78. AI research evidence record anthropic:1-6
    79. AI research evidence record grok:0
    80. AI research evidence record perplexity:c1
    81. AI research evidence record google:1.1.1
    82. AI research evidence record google:2.2.4
    83. AI research evidence record anthropic:1-8
    84. AI research evidence record anthropic:2-26
    85. AI research evidence record perplexity:c2
    86. AI research evidence record anthropic:13-5
    87. AI research evidence record anthropic:13-8
    88. AI research evidence record openai:c1
    89. AI research evidence record anthropic:1-10
    90. AI research evidence record anthropic:19-19
    91. AI research evidence record google:1.1.1
    92. AI research evidence record anthropic:1-1
    93. AI research evidence record anthropic:1-26
    94. AI research evidence record anthropic:21-9
    95. AI research evidence record google:2.2.2
    96. AI research evidence record openai:c3
    97. AI research evidence record perplexity:c2
    98. AI research evidence record openai:c1
    99. AI research evidence record anthropic:13-5
    100. AI research evidence record anthropic:13-8
    101. AI research evidence record anthropic:1-16
    102. AI research evidence record anthropic:1-1
    103. AI research evidence record perplexity:c1
    104. AI research evidence record anthropic:1-28
    105. AI research evidence record anthropic:21-9
    106. AI research evidence record anthropic:1-12
    107. AI research evidence record openai:c1
    108. AI research evidence record anthropic:1-1
    109. AI research evidence record anthropic:13-5
    110. AI research evidence record kimi:georaiser-1
    111. AI research evidence record kimi:trirank-1
    112. AI research evidence record kimi:indexableai-1
    113. AI research evidence record openai:c1
    114. AI research evidence record anthropic:6-14
    115. AI research evidence record anthropic:1-19
    116. AI research evidence record perplexity:c1
    117. AI research evidence record anthropic:1-40
    118. AI research evidence record anthropic:1-28
    119. AI research evidence record anthropic:21-9
    120. AI research evidence record openai:c1
    121. AI research evidence record anthropic:1-38
    122. AI research evidence record anthropic:1-40
    123. AI research evidence record grok:0
    124. AI research evidence record perplexity:c1
    125. AI research evidence record google:1.1.1
    126. AI research evidence record anthropic:1-1
    127. AI research evidence record anthropic:13-5
    128. AI research evidence record anthropic:1-12

Independent Sources

  • AI visibility audit cost: 2026 pricing survey - CitedMetrics: https://citedmetrics.com/research/ai-visibility-audit-pricing-market/
  • Veza Digital Reviews (45), Pricing, Services & Verified Ratings - Clutch: https://clutch.co/profile/veza-digital
  • AI Visibility Audit Cost & ROI for US Companies — CFO Business Case 2026 | IT Marketz: https://itmarketz.com/ai-visibility-audit-cost-roi-us-companies-cfo-guide
  • AI Visibility Audit Example: Full Walkthrough for Agencies: https://www.mywebaudit.com/blog/ai-visibility-audit-walkthrough
  • AI Search Visibility Audit: 7-Steps to Rank in AI Overviews: https://www.qewebby.com/blog/ai-search-visibility-audit/
  • Additional AI research evidence128 records
    1. AI research evidence record openai:c1
    2. AI research evidence record anthropic:1-38
    3. AI research evidence record anthropic:1-40
    4. AI research evidence record kimi:vezadigital-1
    5. AI research evidence record openai:c1
    6. AI research evidence record deepseek:c1
    7. AI research evidence record anthropic:10-1
    8. AI research evidence record anthropic:10-2
    9. AI research evidence record google:2.2.4
    10. AI research evidence record openai:c1
    11. AI research evidence record anthropic:1-38
    12. AI research evidence record anthropic:1-39
    13. AI research evidence record anthropic:1-40
    14. AI research evidence record google:2.2.1
    15. AI research evidence record openai:c3
    16. AI research evidence record perplexity:c2
    17. AI research evidence record anthropic:2-26
    18. AI research evidence record anthropic:19-4
    19. AI research evidence record anthropic:1-12
    20. AI research evidence record anthropic:1-13
    21. AI research evidence record anthropic:1-14
    22. AI research evidence record anthropic:1-15
    23. AI research evidence record anthropic:1-22
    24. AI research evidence record anthropic:1-16
    25. AI research evidence record anthropic:1-17
    26. AI research evidence record openai:c1
    27. AI research evidence record anthropic:1-6
    28. AI research evidence record anthropic:1-37
    29. AI research evidence record grok:0
    30. AI research evidence record perplexity:c1
    31. AI research evidence record google:1.1.1
    32. AI research evidence record anthropic:13-1
    33. AI research evidence record anthropic:13-8
    34. AI research evidence record perplexity:c7
    35. AI research evidence record perplexity:c8
    36. AI research evidence record anthropic:1-8
    37. AI research evidence record anthropic:1-10
    38. AI research evidence record anthropic:19-17
    39. AI research evidence record anthropic:19-19
    40. AI research evidence record anthropic:6-11
    41. AI research evidence record anthropic:6-12
    42. AI research evidence record google:1.1.3
    43. AI research evidence record openai:c3
    44. AI research evidence record perplexity:c2
    45. AI research evidence record anthropic:2-26
    46. AI research evidence record anthropic:2-27
    47. AI research evidence record google:1.1.1
    48. AI research evidence record grok:0
    49. AI research evidence record openai:c1
    50. AI research evidence record anthropic:1-1
    51. AI research evidence record perplexity:c1
    52. AI research evidence record deepseek:c1
    53. AI research evidence record kimi:vezadigital-1
    54. AI research evidence record anthropic:6-14
    55. AI research evidence record anthropic:6-15
    56. AI research evidence record anthropic:19-4
    57. AI research evidence record anthropic:6-9
    58. AI research evidence record openai:c1
    59. AI research evidence record anthropic:1-3
    60. AI research evidence record anthropic:1-25
    61. AI research evidence record anthropic:21-7
    62. AI research evidence record anthropic:21-8
    63. AI research evidence record anthropic:1-26
    64. AI research evidence record anthropic:1-27
    65. AI research evidence record anthropic:1-28
    66. AI research evidence record anthropic:21-9
    67. AI research evidence record anthropic:1-18
    68. AI research evidence record anthropic:1-19
    69. AI research evidence record anthropic:1-20
    70. AI research evidence record anthropic:19-27
    71. AI research evidence record anthropic:19-28
    72. AI research evidence record anthropic:19-29
    73. AI research evidence record anthropic:1-21
    74. AI research evidence record anthropic:19-30
    75. AI research evidence record anthropic:6-2
    76. AI research evidence record google:1.1.3
    77. AI research evidence record openai:c1
    78. AI research evidence record anthropic:1-6
    79. AI research evidence record grok:0
    80. AI research evidence record perplexity:c1
    81. AI research evidence record google:1.1.1
    82. AI research evidence record google:2.2.4
    83. AI research evidence record anthropic:1-8
    84. AI research evidence record anthropic:2-26
    85. AI research evidence record perplexity:c2
    86. AI research evidence record anthropic:13-5
    87. AI research evidence record anthropic:13-8
    88. AI research evidence record openai:c1
    89. AI research evidence record anthropic:1-10
    90. AI research evidence record anthropic:19-19
    91. AI research evidence record google:1.1.1
    92. AI research evidence record anthropic:1-1
    93. AI research evidence record anthropic:1-26
    94. AI research evidence record anthropic:21-9
    95. AI research evidence record google:2.2.2
    96. AI research evidence record openai:c3
    97. AI research evidence record perplexity:c2
    98. AI research evidence record openai:c1
    99. AI research evidence record anthropic:13-5
    100. AI research evidence record anthropic:13-8
    101. AI research evidence record anthropic:1-16
    102. AI research evidence record anthropic:1-1
    103. AI research evidence record perplexity:c1
    104. AI research evidence record anthropic:1-28
    105. AI research evidence record anthropic:21-9
    106. AI research evidence record anthropic:1-12
    107. AI research evidence record openai:c1
    108. AI research evidence record anthropic:1-1
    109. AI research evidence record anthropic:13-5
    110. AI research evidence record kimi:georaiser-1
    111. AI research evidence record kimi:trirank-1
    112. AI research evidence record kimi:indexableai-1
    113. AI research evidence record openai:c1
    114. AI research evidence record anthropic:6-14
    115. AI research evidence record anthropic:1-19
    116. AI research evidence record perplexity:c1
    117. AI research evidence record anthropic:1-40
    118. AI research evidence record anthropic:1-28
    119. AI research evidence record anthropic:21-9
    120. AI research evidence record openai:c1
    121. AI research evidence record anthropic:1-38
    122. AI research evidence record anthropic:1-40
    123. AI research evidence record grok:0
    124. AI research evidence record perplexity:c1
    125. AI research evidence record google:1.1.1
    126. AI research evidence record anthropic:1-1
    127. AI research evidence record anthropic:13-5
    128. AI research evidence record anthropic:1-12

Verify this research

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

Study date
September 18, 2026
Platforms analyzed
7
Source records
20
Ranking mentions
2 of 7
Platform share
29%
Final consensus rank
#4

Research trail and source mix

Configured platforms

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

Source mix

7 independent · 13 company-owned

Evidence support

10 direct · 5 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 a22f2aec745e0d71a9dbca017fbad085af358e2e60ab9516661d99ab51ac21be