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AI Consensus Index

Best AI Search Audits for Regulated Industries

Veza Digital is the consensus leader in this 7-platform study of AI search audits for regulated industries, named by 3 of 7 platforms (42.9%) with an average listed position of 5.33 and a best position of 2.

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

Answer Capsule

Veza Digital is the consensus leader in this 7-platform study of AI search audits for regulated industries, named by 3 of 7 platforms (42.9%) with an average listed position of 5.33 and a best position of 2. It is followed by AI Search Engineers, Profound, and Semrush, each named by 2 platforms (28.6%). The strongest alternatives for distinct buyer needs are Profound and Scrunch AI for compliance-certified enterprise measurement, AI Search Engineers for legal, medical, and financial professional-service audits, and Semrush or Conductor for teams that need AI visibility data connected to existing SEO and content workflows. The study sent one standardized prompt once to each of 7 platforms: OpenAI, Anthropic, DeepSeek, Grok, Perplexity, Kimi, and Google. The principal limitation is that platform mentions count only ranking-discovery mentions, most supporting citations are company-owned rather than independent, and no supplied URL was independently validated.

Research Snapshot

  • Topic: AI search audits and market intelligence for regulated industries (financial services, insurance, healthcare, legal services, and other high-trust sectors).
  • Target buyer: Companies in regulated categories that need compliant AI visibility, citation, authority, and content strategies.
  • Platforms included (7): OpenAI, Anthropic, DeepSeek, Grok, Perplexity, Kimi, Google.
  • Research date: 2026-09-18 (the authoritative run date; platform-reported dates are provenance metadata only and do not independently prove freshness).
  • Unique entities named across platforms: 45.
  • Qualifying entities: 9.
  • Eligibility rule: an entity had to be named by at least two platforms during ranking discovery to qualify for this index.
  • Ranking unit: audit company, audit service, or advisory provider.
  • Geography: United States.

Platform mentions in this report count only platforms that named the entity during ranking discovery. All 7 platforms evaluated fit, but a platform that assessed an entity without naming it during discovery does not add to its mention count.

The Consensus Ranking

Questions This Section Answers

  • What are the best AI search audit providers for regulated industries in 2026?
  • Which AI search audit company was named by the most AI platforms for regulated-industry visibility work?

The table below is the authoritative ranking for this study. Order is based on platform mentions, then average listed rank, then best listed rank. Recommended products and plans appear inside each entity's ranked section rather than in this table.

RankEntityPlatform mentionsAverage listed positionBest positionBest considered for
1Veza Digital35.332Regulated companies seeking a one-time, human-led AI-search visibility baseline and prioritized marketing/technical roadmap.; B2B organizations able to supply approved claims, compliance guidance, and internal review of recommendations.; Buyers wanting raw tracking data and an audit they can execute internally or with another agency.
2AI Search Engineers21.001Professional-service companies that need multi-platform prompt testing, entity recognition analysis, structured-data review, citation inventory, and a prioritized authority roadmap.; Law firms, financial-advisory firms, and similar businesses seeking an agency-led diagnostic rather than a self-service monitoring platform.; Law firms needing AI visibility across practice areas (immigration, employment, family, criminal defense, personal injury, real estate, estate planning, landlord-tenant)
3Profound21.501Large regulated brands with dedicated SEO, communications, content, reputation, or digital-governance teams.; Organizations auditing how AI answer engines describe products, policies, safety claims, pricing, service terms, or other controlled facts.; Agencies managing multiple regulated clients and needing centralized benchmarking, exports, and client workspaces.
4Semrush21.501Organizations that need repeatable benchmarking of brand mentions, citations, cited pages, competitor visibility, and source opportunities.; Regulated companies with established SEO, content, PR, and analytics teams that can convert visibility findings into compliant actions.; Large enterprises requiring multi-brand, multi-market tracking, expanded LLM coverage, integrations, governance, and enterprise support.
5Scrunch AI22.502Enterprise teams measuring brand mentions, recommendations, citations, sentiment, and competitor visibility across multiple AI answer engines.; Regulated-category marketing, communications, SEO, and content teams that need source-level citation intelligence and prioritized remediation.; Organizations needing enterprise access controls, expanded model coverage, API integrations, SSO, and dedicated support, subject to contract confirmation.
6Conductor24.004Large or regulated organizations needing repeatable measurement of AI mentions, citations, sentiment, competitors, and source domains; Teams connecting AI-search visibility data with SEO, analytics, content, and technical website workflows; Organizations needing an evidence-informed content and authority roadmap rather than one-time manual prompt testing
7Gauge (Content Authority Platform)26.003Marketing, communications, SEO, and digital-governance teams auditing how AI systems describe a regulated brand and its competitors.; Organizations needing recurring prompt monitoring, citation-rate measurement, influential-source analysis, gap analysis, and content recommendations.; Larger regulated companies able to budget at least the publicly listed Growth price or negotiate Enterprise terms.
8Discovered Labs26.505Regulated companies seeking a managed, execution-oriented AI visibility audit rather than software-only reporting.; Teams needing cross-engine measurement across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews.; Buyers willing to validate regulated-content governance, approval controls, and source-quality methodology before purchase.
9Visibility 36028.507Initial AI recommendation and brand-visibility diagnostics for attorneys, healthcare professionals, financial advisors, and other reputation-sensitive professionals.; Organizations seeking a low-friction audit followed by authority-building, media-placement, and positioning services.; Law firms, medical practices, and financial service providers requiring audit assessment plus downstream authority-building campaigns

Which Option Is Best for Which Version of the Buyer Need?

Questions This Section Answers

  • Which AI search audit provider should a regulated buyer choose if they need a fixed-price one-time audit rather than an ongoing platform?
  • Is a compliance-certified monitoring platform or a specialist agency better for a healthcare or financial-services AI search audit?
  • Which AI search audit option is best for a law firm that needs practice-area citation and entity analysis?
Buyer needBest-fit optionWhyMain trade-off
Fixed-price, one-time AI visibility baseline with a 90-day roadmapVeza DigitalPublicly listed $4,500 audit with 30 days of tracking, competitor benchmarking, and a prioritized action planNo publicly verified regulated-industry specialization or compliance framework
Legal, medical, or financial professional-service audit with compliance-aware content analysisAI Search EngineersExplicitly targets legal, medical, and financial services with category-specific schemas and compliance-aware content restructuringPricing undisclosed; AEO Differentiation Standard is self-created and outcomes are internally documented
Enterprise measurement of controlled facts, pricing, and safety claimsProfoundFactCheck compares model claims against a connected knowledge base and identifies citation URLs tied to inaccuraciesMeasurement without remediation; enterprise pricing is custom and opaque
AI visibility data connected to existing SEO, content, and analytics workflowsSemrush.

1. Veza Digital

Questions This Section Answers

  • Is Veza Digital worth it for a regulated-industry AI search audit, and what are its main drawbacks?
  • What does the Veza Digital AI Search Visibility Audit cost, and what does the $4,500 fee include?

Veza Digital tops this index on breadth of platform mentions rather than on average position. It was named by 3 of 7 platforms (42.9%) with an average listed position of 5.33 and a best position of 2, and it is the only entity in this study named by three platforms. Its AI Search Visibility Audit is a fixed-price, human-led diagnostic: a custom prompt set of roughly 50–100 prompts built from target keywords, competitor keywords, sales-team input, and industry buyer questions, with buyer approval before tracking [1]. The paid audit includes 30 days of tracking across ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, and Copilot, benchmarking against three competitors, a 20–30-page technical and content review, raw citation data, a 30-page report, a 90-day prioritized action plan, and a 60-minute strategy call [1].

Why it ranked here. Veza Digital earned the top rank because three platforms named it, more than any other entity, even though its average listed position (5.33) is the second weakest among the top five. Platforms that named it described a concrete, well-scoped audit product with published pricing, which is unusual in this category. Anthropic ranked it 10th, Google 4th, and Perplexity 2nd [3]. The spread between those positions is the widest in the top five and is the main reason its average position is high.

Best suited for. Regulated companies that want a one-time, human-led AI-search visibility baseline and a prioritized marketing and technical roadmap; B2B organizations able to supply approved claims, compliance guidance, and internal review of recommendations; and buyers who want raw tracking data they can execute internally or hand to another agency [1].

Main strengths for the use case. Six-platform coverage spanning major conversational and search-answer products; a custom buyer-query prompt set rather than generic keyword testing; 30 days of tracking instead of a one-day snapshot; competitor comparison, raw citation data, technical and content review, entity analysis, and a prioritized roadmap; and report portability with stated no-lock-in positioning [1]. Google's assessment also credits Veza Digital with documented data-classification policies that prevent confidential, restricted, or regulated client data from being entered into public generative AI tools [7]. .

2. AI Search Engineers

Questions This Section Answers

  • Is AI Search Engineers worth it for a law firm or medical practice AI visibility audit, and what are its main drawbacks?
  • How much does an AI Search Engineers AI Visibility Audit cost, and is pricing published?

AI Search Engineers holds the strongest average listed position in this index at 1.00, with a best position of 1, but it was named by only 2 of 7 platforms (28.6%). Both platforms that named it — Grok and Perplexity — placed it first [8]. Its AI Search Visibility Audit is marketed specifically for legal, medical, and financial services, and the advertised scope covers entity recognition across ChatGPT, Google Gemini, Google AI Overviews, Microsoft Copilot, and Perplexity, structured-data completeness, trusted-source citation inventory, brand-signal consistency, topical authority, and controlled prompt testing [10].

Why it ranked here. The entity's rank reflects a small number of very high placements rather than broad platform agreement. Grok rated it a "strong" fit and Perplexity rated it "uncertain," while the five platforms that completed fit assessments without naming it during discovery split between "good" (Anthropic, Google), "mixed" (OpenAI), and "uncertain" (DeepSeek, Kimi) [8]. Because mentions are the first ranking criterion, two mentions place it below Veza Digital despite its better average position.

Best suited for. Professional-service companies that need multi-platform prompt testing, entity recognition analysis, structured-data review, citation inventory, and a prioritized authority roadmap; law firms, financial-advisory firms, and similar businesses seeking an agency-led diagnostic rather than a self-service monitoring platform; and law firms needing AI visibility across practice areas including immigration, employment, family, criminal defense, personal injury, real estate, estate planning, and landlord-tenant [10].

Main strengths for the use case. The service explicitly targets the three professional-service categories with the highest AI recommendation gap — legal, medical, and financial services [13]. Anthropic's bundle documents eight verified legal engagements spanning landlord-tenant, estate planning, immigration, employment, criminal defense, family law, personal injury, and real estate, with a consistent pattern of strong Google rankings alongside complete AI search invisibility [17]. The audit includes compliance-aware content analysis that identifies where existing content can be restructured for AI extraction without crossing regulatory boundaries [18]. It also applies a five-component authority engineering process covering entity definition and cleanup, structured data deployment, FAQ schema, review schema, and documented outcomes [19]. .

3. Profound

Questions This Section Answers

  • Is Profound worth it for a regulated-industry AI search audit, and what are its main drawbacks?
  • Which Profound plan should a regulated buyer choose, and what does enterprise pricing include?
  • Does Profound's HIPAA certification cover audit trails for patient data, or only brand visibility monitoring?

Profound ties for the best average listed position among qualifying entities at 1.50, with a best position of 1, and was named by 2 of 7 platforms (28.6%) — DeepSeek and OpenAI [22]. Its Answer Engine Insights product runs structured prompts across supported answer engines and reports visibility, share of voice, average position, sentiment, and competitive presence, with prompt sets customizable by topic, tag, platform, region, or persona [24].

Why it ranked here. Profound's rank reflects strong placement from the two platforms that named it plus broad fit validation from the other five. DeepSeek ranked it 1st and OpenAI 2nd [22]. Fit ratings from the full seven-platform set were "strong" (Google, Grok), "good" (OpenAI, DeepSeek, Perplexity), "mixed" (Anthropic), and "uncertain" (Kimi) [25].

Best suited for. Large regulated brands with dedicated SEO, communications, content, reputation, or digital-governance teams; organizations auditing how AI answer engines describe products, policies, safety claims, pricing, service terms, or other controlled facts; and agencies managing multiple regulated clients and needing centralized benchmarking, exports, and client workspaces [23].

Main strengths for the use case. Profound combines citation-share measurement, competitor benchmarking, source-domain classification, and FactCheck, which compares model claims against a connected knowledge base and identifies citation URLs associated with inaccurate information [30]. Google's bundle reports an independent HIPAA compliance assessment conducted by Sensiba LLP and SOC 2 Type II certification, making it one of the few entities in this index with named third-party compliance validation [25]. Anthropic documents SSO via SAML or OIDC, role-based permissions, and daily backups with one-week secure retention [33]. Prompt and topic data can be exported in CSV or JSON with fields including visibility, average position, citation share, citation ranks, executions, and prompt volume [36].

Main limitations. Profound is an analytics and measurement layer, not a full execution service; it identifies visibility gaps and recommends content adjustments, but manual execution remains the client's responsibility in external CMS, content platform, or schema tools [37].

4. Semrush

Questions This Section Answers

  • Is Semrush worth it for a regulated-industry AI search audit, and what are its main drawbacks?
  • What does the Semrush AI Visibility Toolkit cost per domain, and what limits apply to the base plan?
  • Does Semrush provide SOC 2 or HIPAA documentation for AI search audit workflows?

Semrush ties with Profound at an average listed position of 1.50 and a best position of 1, and was named by 2 of 7 platforms (28.6%) — DeepSeek and OpenAI [39]. Its AI Visibility Toolkit measures AI Visibility, mentions, monthly audience, cited pages, citations, performing topics, and missing prompts, while Brand Performance adds share of voice, sentiment, and narrative analysis [41].

Why it ranked here. DeepSeek ranked Semrush 2nd and OpenAI 1st [39]. Fit ratings across the full platform set were "good" (OpenAI, Anthropic, Perplexity, Google) and "mixed" (DeepSeek, Grok, Kimi) [40]. No platform rated it weak or uncertain, which is unusual in this index.

Best suited for. Organizations that need repeatable benchmarking of brand mentions, citations, cited pages, competitor visibility, and source opportunities; regulated companies with established SEO, content, PR, and analytics teams that can convert visibility findings into compliant actions; and large enterprises requiring multi-brand, multi-market tracking, expanded LLM coverage, integrations, governance, and enterprise support [40].

Main strengths for the use case. The toolkit identifies cited sources, source opportunities, missing sources, and pages cited in AI answers, and Prompt Tracking can show owned sources, average citation position, and recommendations associated with citation sources [47]. Competitor Research compares mentions, citations, topic coverage, and visibility against competitors, with up to four competitors at a time in the standard report [48]. AI Search Site Audit checks crawl accessibility and AI-search readiness, including potential blockers, structured-data-related checks, llms.txt-related checks, and checks against multiple AI crawlers [40]. Enterprise AIO is positioned for multiple brands or markets and lists full LLM coverage, unlimited prompt tracking, detailed brand or product analysis, forecasting, ROI attribution, custom integrations or API, SSO, governance, audit logs, SLA, and 24/7 support [51].

Main limitations. The reviewed Semrush materials do not establish that the AI Visibility Toolkit provides industry-specific compliance validation, legal review, substantiation review, records-retention controls, or approval workflows for regulated claims [40]. AI visibility scores and estimated audience are directional and are not guarantees of rankings, recommendations, citations, traffic, or conversion [40].

5. Scrunch AI

Questions This Section Answers

  • Is Scrunch AI worth it for a regulated-industry AI search audit, and what are its main drawbacks?
  • How much does Scrunch AI cost, and is hallucination detection included in the Core plan?
  • Is Scrunch AI or Profound better for regulated-industry hallucination detection when compliance certification matters?

Scrunch AI has an average listed position of 2.50 and a best position of 2, and was named by 2 of 7 platforms (28.6%) — Anthropic and OpenAI [52]. Its Enterprise Plan is positioned around AI Search Monitoring, Citations, Deep AI Audits, Content Gaps, Site Optimization, and potential AXP capabilities, with enterprise pricing appearing custom [53].

Why it ranked here. Anthropic ranked Scrunch 2nd and OpenAI 3rd [52]. Fit ratings across the full set were "strong" (Google), "good" (Anthropic, OpenAI, Grok), "mixed" (DeepSeek, Perplexity), and "uncertain" (Kimi) [54].

Best suited for. Enterprise teams measuring brand mentions, recommendations, citations, sentiment, and competitor visibility across multiple AI answer engines; regulated-category marketing, communications, SEO, and content teams that need source-level citation intelligence and prioritized remediation; and organizations needing enterprise access controls, expanded model coverage, API integrations, SSO, and dedicated support, subject to contract confirmation [53].

Main strengths for the use case. Scrunch records cited URLs and reports citation frequency, citation consistency, citation ownership, trends, and Influence Score, with filtering by prompt type, topic, persona, geography, funnel stage, AI platform, and citation owner [59]. It identifies influential domains and URLs, distinguishes owned, competitor, third-party, and social sources, and uses Influence Score to prioritize sources affecting tracked prompts [59]. Anthropic documents SOC 2 Type II certification with audited controls across security, availability, and data handling, SAML/OAuth SSO with Okta and Azure AD support, role-based access control, audit logs, and zero knowledge retention by default [52]. Hallucination detection identifies false or misleading AI-generated claims about brand, including wrong pricing, incorrect product features, fabricated partnerships, and outdated information [62]. Google's bundle also reports a strategic partnership with Vested, a marketing agency dedicated to financial services, to expand compliance-grade AI search audits for financial brands [63].

Main limitations. Hallucination detection is Enterprise-only and not included in the Core plan at $250/month, forcing buyers to commit before knowing budget [64].

6. Conductor

Questions This Section Answers

  • Is Conductor worth it for a regulated-industry AI search audit, and what are its main drawbacks?
  • What does Conductor cost annually, and is pricing published?
  • Does Conductor's ISO 42001 certification make it a better choice than Semrush for regulated AI search audits?

Conductor has an average listed position of 4.00 and a best position of 4, and was named by 2 of 7 platforms (28.6%) — Anthropic and DeepSeek [65]. Its AI Search Performance and Mention & Citation Tracking module sits within Conductor Intelligence and Searchlight, with related competitive, content-gap, topic, and reporting capabilities [67].

Why it ranked here. Anthropic and DeepSeek both ranked Conductor 4th, the tightest agreement in the index [65]. Fit ratings across the full set were "strong" (Google), "good" (OpenAI, Anthropic, Perplexity), and "mixed" (DeepSeek, Grok, Kimi) [68].

Best suited for. Large or regulated organizations needing repeatable measurement of AI mentions, citations, sentiment, competitors, and source domains; teams connecting AI-search visibility data with SEO, analytics, content, and technical website workflows; and organizations needing an evidence-informed content and authority roadmap rather than one-time manual prompt testing [67].

Main strengths for the use case. Conductor tracks brand mentions and website citations across six major AI engines — ChatGPT, Perplexity, Gemini, Google AI Overviews, Microsoft Copilot, and Claude — and distinguishes whether a brand is named from whether its website is used as a source [65]. It identifies prompts where a brand is mentioned but its website is not cited and positions this gap as a content-prioritization signal [73]. Anthropic documents SOC 2 Type I and Type II, ISO 27001, and ISO 42001 certifications, with ISO 42001 being the first international standard for AI management systems [74]. Google reports that Conductor uses official APIs to connect to LLMs rather than browser scraping, which it frames as a legal and stability advantage [76]. The platform also supports role-based access controls and audit trails, with a documented example of a regulated financial services or healthcare brand using role-based access and audit trails to let compliance review AEO findings before content ships [77].

Main limitations. Conductor does not address AI model governance, explainability, data lineage, model approval workflows, or regulatory model risk management, and does not map to NIST AI RMF, EU AI Act, or compliance frameworks for internal AI use [78].

7. Gauge (Content Authority Platform)

Read the full Gauge (Content Authority Platform) fit review for supporting evidence and buying considerations.

Gauge has an average listed position of 6.00 and a best position of 3, and was named by 2 of 7 platforms (28.6%) — Anthropic and DeepSeek [79]. Its AI search analytics platform tracks prompt responses, brand coverage, citation rate, and mention rate, with an Audit function, an Action Center, gap analysis, coverage analysis, and Insights explaining visibility changes [81].

Why it ranked here. Gauge has the widest rank spread in the index: Anthropic ranked it 3rd and DeepSeek 9th [79]. Fit ratings across the full set were "good" (OpenAI, Google, Grok, Perplexity), "mixed" (Kimi), "weak" (Anthropic), and "uncertain" (DeepSeek) [81].

Best suited for. Marketing, communications, SEO, and digital-governance teams auditing how AI systems describe a regulated brand and its competitors; organizations needing recurring prompt monitoring, citation-rate measurement, influential-source analysis, gap analysis, and content recommendations; and larger regulated companies able to budget at least the publicly listed Growth price or negotiate Enterprise terms [81].

Main strengths for the use case. Gauge tracks citations at both domain and page level across six major AI platforms on the Growth plan, with Claude and Grok available via API key [79]. Citation rate and mention rate are reported separately, which Anthropic describes as a rare capability essential for diagnosing whether content influences AI answers but fails to earn brand attribution [87]. The platform benchmarks competing brands across the same monitored prompts and platforms, identifies influential source domains, and maps which competitor pages earn citations [89]. It also lists GA4, Google Search Console, Slack, API, export, and S3 integration capabilities [81].

Main limitations. Gauge product documentation and pricing pages do not mention HIPAA BAA, GDPR DPA, SOC 2, FedRAMP, or other compliance certifications, and there is no evidence of governance audit trails, policy versioning, model lifecycle controls, or regulatory reporting features [90]. The platform is designed for marketing and content teams rather than compliance or legal teams [92].

8. Discovered Labs

Questions This Section Answers

  • Is Discovered Labs worth it for a regulated-industry AI search audit, and what are its main drawbacks?
  • What does the Discovered Labs Search Visibility Diagnostic cost, and is the retainer month-to-month?

Discovered Labs has an average listed position of 6.50 and a best position of 5, and was named by 2 of 7 platforms (28.6%) — Anthropic and Perplexity [93]. Its Search Visibility Diagnostic and AEO Performance Audit analyze priority queries across Google, ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews with a 90-day prioritized plan [95].

Why it ranked here. Anthropic ranked Discovered Labs 5th and Perplexity 8th [93]. Fit ratings across the full set were "strong" (Google), "mixed" (OpenAI, Anthropic, Grok, Perplexity), and "uncertain" (DeepSeek, Kimi) [96].

Best suited for. Regulated companies seeking a managed, execution-oriented AI visibility audit rather than software-only reporting; teams needing cross-engine measurement across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews; and buyers willing to validate regulated-content governance, approval controls, and source-quality methodology before purchase [95].

Main strengths for the use case. The one-off diagnostic promises a prioritized 90-day plan sequenced by commercial impact and a findings walkthrough [95]. The service includes technical SEO and crawlability diagnostics, schema and structured-data work, content-gap analysis, entity mapping, content roadmaps, and authority and off-page activities such as backlinks or Reddit engagement depending on package [95]. Anthropic documents a proprietary AI Visibility Tracker measuring citation frequency and share of voice across ChatGPT, Claude, Perplexity, Google AI Overviews, and Microsoft Copilot, testing 50–100 buyer-intent queries manually with automated tracking of thousands of queries daily [93]. The CITABLE framework targets LLM retrieval with clear entity definition, block-structured formatting for RAG systems, semantic clarity, factual specificity, verifiability, and third-party validation [100]. Google's bundle reports a fixed-price introductory sprint at $4,995 including a baseline AI visibility audit across major LLMs, answer modeling, and a 30-day action plan [101].

Main limitations. Public materials reviewed do not verify sector-specific compliance expertise, formal medical, legal, or financial review, regulatory-claims controls, audit trails, client-data handling commitments, or certifications [95]. The positioning and listed clients primarily indicate B2B marketing use cases [93]. No published documentation of SOC 2 certification, HIPAA compliance, or regulatory review processes was found, and no evidence of compliance-ready editorial workflows, retention policies, or documentation standards required by regulated industries [93].

9. Visibility 360

Questions This Section Answers

  • Is Visibility 360 worth it for a regulated-industry AI search audit, and what are its main drawbacks?
  • What does the Visibility 360 AI Reveal Suite cost, and is the audit free or paid?
  • Which AI platforms does Visibility 360 audit, and does it cover Gemini or Copilot?

Visibility 360 has the weakest average listed position in the index at 8.50, with a best position of 7, and was named by 2 of 7 platforms (28.6%) — Google and Perplexity [102]. Its AI Reveal Suite offers seven audit types, and its Professional AI Audit explicitly lists attorneys, healthcare professionals, consultants, and financial advisors [104].

Why it ranked here. Google ranked Visibility 360 7th and Perplexity 10th [102]. Fit ratings across the full set were "good" (Anthropic, Google), "mixed" (OpenAI, Perplexity), "weak" (DeepSeek, Grok), and "uncertain" (Kimi) [105].

Best suited for. Initial AI recommendation and brand-visibility diagnostics for attorneys, healthcare professionals, financial advisors, and other reputation-sensitive professionals; organizations seeking a low-friction audit followed by authority-building, media-placement, and positioning services; and law firms, medical practices, and financial service providers requiring audit assessment plus downstream authority-building campaigns [104].

Main strengths for the use case. The AI Reveal Suite directly names healthcare professionals, attorneys, and financial advisors as target audit audiences [104]. It focuses on AI recommendation visibility, authority recognition, expertise understanding, and digital-footprint gaps, and offers a low-friction initial diagnostic before a paid engagement [104]. Anthropic documents compliance-aware content analysis, human review before publication, pre-approved language libraries, full audit trails, and compliance officer visibility, with compliance protocols stated to apply to all deliverables [109]. The company also published a study of 56 firms across 14 U.S. markets in 2026 finding that only 27% appeared when AI systems were asked to recommend firms in specific practice areas [110]. Google reports a strict one-client-per-market exclusivity model and a guarantee of 300+ media placements per campaign [112].

Main limitations. Public materials do not verify the audit depth, reproducibility, citation-level measurement, influential-domain analysis, competitor benchmarking methodology, compliance controls, or prioritized roadmap expected for enterprise-grade regulated-industry audits [104]. Citation measurement, influential-source analysis, competitor benchmarking, and prioritized remediation are not clearly documented as standalone audit deliverables [104].

What the Cross-Platform Study Reveals About This Market

Questions This Section Answers

  • What does a 7-platform AI consensus study reveal about how AI search audit providers are recommended for regulated industries?
  • Why do AI platforms recommend different AI search audit vendors for the same regulated-industry buyer need?

Three structural patterns emerge from this study.

First, the market splits into three distinct provider types, and platforms recommend them for different reasons. Measurement platforms (Profound, Semrush, Scrunch AI, Conductor, Gauge) are recommended for repeatable tracking, citation analysis, and competitor benchmarking. Specialist agencies (AI Search Engineers, Discovered Labs, Visibility 360) are recommended for human-led diagnostics, compliance-aware content analysis, and execution. Hybrid agencies with a fixed-price audit product (Veza Digital) are recommended for buyers who want a defined deliverable before committing to a platform or retainer. No single entity in this index spans all three roles, and no platform recommended one entity as a complete solution. .

Where the AI Platforms Agreed

Questions This Section Answers

  • Which AI search audit capabilities do all platforms agree regulated buyers need?

Despite the ranking spread, platforms converged on several points.

Mention and citation measurement is table stakes. Every entity in this index was credited with some form of mention or citation tracking by at least one platform, and no platform questioned whether this capability matters for regulated buyers. The distinction platforms drew was between measuring whether a brand is named and measuring whether its website is cited as a source — a gap that Conductor, Gauge, and Semrush all explicitly address [113].

Competitor benchmarking is expected. Every qualifying entity was credited with competitor comparison by at least one platform, though the depth varied from three competitors (Veza Digital) to four (Semrush standard report) to twenty (Semrush Enterprise AIO) to custom sets [117].

No entity is a complete regulated-industry compliance solution. Across all nine entities, at least one platform concluded that the provider does not constitute a standalone regulatory compliance, legal-review, or governance system [117].

Where the AI Platforms Disagreed

Questions This Section Answers

  • Why do AI platforms disagree about whether Veza Digital, AI Search Engineers, or Visibility 360 are suitable for regulated industries?
  • Which AI search audit providers have disputed compliance certifications or disputed pricing?

Four material disagreements run through this study.

Compliance certification status is disputed for most entities. Profound is the clearest case: Google and Grok report HIPAA compliance via independent Sensiba LLP assessment plus SOC 2 Type II [128], Anthropic confirms SOC 2 Type II and HIPAA but questions whether the HIPAA scope covers data access auditing under 45 C.F.R. § 164.312(b) [130], and Kimi found no verified SOC 2 Type II, HIPAA, GDPR DPA, or EU AI Act documentation at all [131]. Semrush shows the same pattern: Google reports Enterprise AIO supports SOC 2 compliance and SSO/SAML [132], while Anthropic, DeepSeek, and Kimi found no SOC 2 or HIPAA certification visible on public pages [133].

Pricing is disputed or missing for six of nine entities. Veza Digital's $4,500 price is reported by five platforms but not by DeepSeek or Kimi [136].

How Buyers Should Choose

Questions This Section Answers

  • What should a regulated buyer check before choosing an AI search audit provider?
  • Should a regulated company buy a one-time AI search audit or an ongoing monitoring platform?

Start with the deliverable you actually need. If you need a one-time baseline with a prioritized roadmap and you have internal compliance capacity to review recommendations, a fixed-price audit such as Veza Digital's $4,500 product or Discovered Labs' €4,370 diagnostic gives you a defined scope and a portable report [139]. If you need recurring measurement with historical trend data, a platform such as Profound, Semrush, Scrunch AI, Conductor, or Gauge is the better structural fit, but expect custom enterprise pricing and a longer procurement cycle [141][e7:official:C2].

Then verify compliance claims directly. No entity in this index has a compliance posture that all seven platforms agreed on. Request the actual SOC 2 Type II report rather than a badge, confirm whether HIPAA certification covers data access auditing or only brand visibility monitoring, and ask for the subprocessor list and data residency options in writing [145].

Then confirm the measurement methodology.

Methodology

This study used one standardized prompt sent once to each of seven AI platforms: OpenAI, Anthropic, DeepSeek, Grok, Perplexity, Kimi, and Google. The prompt asked which AI search audit providers would be recommended for a company in financial services, insurance, healthcare, legal services, or another high-trust industry that wants an audit evaluating recommendation visibility, citations, source quality, competitor performance, citation architecture, factual-risk exposure, and improvement opportunities without relying on aggressive or unsupported tactics.

The research date is 2026-09-18. Platform-reported research dates are provenance metadata and do not independently prove freshness; several platforms reported different internal dates, which is disclosed as a limitation below.

Ranking order is based on platform mentions first, then average listed rank, then best listed rank. Platform mentions count only platforms that named the entity during ranking discovery. All seven platforms evaluated fit, but a platform that assessed an entity without naming it during discovery does not add to its mention count.

Entities qualified for this index only if named by at least two platforms. Forty-five unique entities were named across platforms; nine qualified.

Citations in this report are platform-reported evidence, not independently verified facts. Company-owned citations materially outnumber independent citations in several entity bundles. The supplied URLs were collected from platform responses and were not independently validated by the writer stage.

Methodology Limitations

  • One prompt, one run. The study sent a single standardized prompt once to each platform. AI answers can vary by date, wording, location, account state, model, interface, browsing configuration, and the sources retrieved. A different prompt or a second run could produce different recommendations.
  • Mentions are not quality judgments. Platform mentions count only ranking-discovery mentions. An entity named by more platforms is not necessarily better for a specific buyer; it is more frequently recommended by the platforms studied.
  • Platform recommendations are market intelligence, not customer reviews. This study treats platform recommendations as market intelligence, not as independent customer reviews or proof of quality.
  • Company-owned sources dominate. Company-owned citations materially outnumber independent citations in several entity bundles. Company claims are not described as independently verified anywhere in this report.
  • Platform-reported dates differ from the run date. Several platforms reported internal research dates earlier than 2026-09-18, including DeepSeek (2026-01-15, 2026-02-14, 2026-04-08, and 2026-06-12 across different entity bundles), Anthropic (2026-01-15 for Discovered Labs), and others. These are provenance metadata and do not independently prove freshness.
  • Identity conflicts remain unresolved. AI Search Engineers has conflicting.com and.ai domains, and Visibility 360's terms reference a different governing jurisdiction than its stated company location. These conflicts are disclosed rather than resolved. .

Final Verdict

Veza Digital leads this 7-platform consensus index on breadth of platform mentions (3 of 7, 42.9%), not on average position. Its $4,500 fixed-price AI Search Visibility Audit is the most concretely documented one-time diagnostic in the study, but its regulated-industry compliance posture is unverified across platforms [148].

AI Search Engineers holds the strongest average listed position (1.00) and the most explicit legal, medical, and financial specialization, but its pricing is undisclosed, its AEO Differentiation Standard is self-created, and its outcomes are internally documented [150].

Profound, Semrush, Scrunch AI, and Conductor are the strongest options for buyers who need recurring measurement rather than a one-time audit. Profound and Scrunch AI have the most named third-party compliance validation in the study, while Semrush and Conductor offer the deepest integration with existing SEO, content, and analytics workflows [153].

Gauge, Discovered Labs, and Visibility 360 are viable for narrower needs — recurring prompt monitoring, managed audit-plus-execution, and initial professional diagnostics respectively — but each carries material unverified compliance or methodology gaps [157].

No entity in this index is a complete regulated-industry compliance solution.

Frequently Asked Questions

Which AI search audit provider was named by the most AI platforms for regulated industries?

Veza Digital, named by 3 of 7 platforms (42.9%) with an average listed position of 5.33 and a best position of 2 [1].

Which provider has the best average listed position?

AI Search Engineers, at 1.00, named by 2 platforms that both placed it first [1].

How many platforms were studied?

Seven: OpenAI, Anthropic, DeepSeek, Grok, Perplexity, Kimi, and Google.

How many entities qualified for this index?

Nine, out of 45 unique entities named across platforms. Qualification required being named by at least two platforms.

Which providers have named third-party compliance validation?

Profound (HIPAA via Sensiba LLP and SOC 2 Type II), Scrunch AI (SOC 2 Type II), and Conductor (SOC 2 Type I and II, ISO 27001, ISO 42001) [1]. Each of these claims is platform-reported and should be verified directly with the vendor. .

Consolidated Sources

Company-Owned Sources

Independent Sources

Other Sources

Platform-by-platform recommendations

Numbers show recorded recommendation position. A dash means no qualifying recommendation was recorded in a usable response. Unusable responses are not negative votes.

Qualified entities in this research snapshot
PlatformVeza DigitalAI Search EngineersProfoundSemrushScrunch AIConductorGauge (Content Authority Platform)Discovered LabsVisibility 360
ChatGPT——#2#1#3————
Claude#10———#2#4#3#5—
DeepSeek——#1#2—#4#9——
Grok—#1———————
Perplexity#2#1—————#8#10
Kimi—————————
Gemini#4———————#7

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
Candidates reviewed
45
Qualified finalists
9

Research trail and source mix

Configured platforms

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

Source mix

329 total · 150 independent · 175 company-owned · 4 unclear

Evidence support

254 direct · 48 partial

Important limitation

Exactly 7 platforms were included in this run: openai, anthropic, deepseek, grok, perplexity, kimi, google. The configured source value 7 is provenance only and must never be described as the number of platforms studied.

Source snapshot SHA-256 f2133cc9754fbb4d929d95ea96a3c34d43ca9f06c8ae924c11115569da805718