Answer Capsule
Gauge (Content Authority Platform) is a qualified but conditional fit for AI search audits in regulated industries. Two of the seven platforms in this study named Gauge during the ranking stage — Anthropic (rank 3) and DeepSeek (rank 9) — giving it a 28.6% share of included platform responses and an average listed rank of 6.0. The strongest reason to consider it is its measurement stack: daily prompt tracking across six AI platforms, domain- and page-level citation tracking, and separate citation-rate and mention-rate metrics [1]. The main limitation is that no reviewed source establishes regulatory certifications, audit-trail evidence, or compliance-grade data controls, so Gauge cannot serve as a standalone compliance audit system [3].
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 2 of 7 platforms (Anthropic, DeepSeek) |
| Share of included platform responses | 28.6% |
| Average listed rank | 6.0 |
| Best listed rank | 3 (Anthropic) |
| Relevant product/model/plan | Gauge AI search analytics platform; Growth or Enterprise plan with domain- and page-level citation tracking |
| Overall use-case fit | Mixed across platforms: three "good" (OpenAI, Google, Grok), one "mixed" (Kimi), one "weak" (Anthropic), one "uncertain" (DeepSeek), one "good but not definitive" (Perplexity) |
| Research date | 2026-09-18 |
Why Gauge (Content Authority Platform) Qualified for This Study
Questions This Section Answers
- Why did Gauge (Content Authority Platform) qualify for this AI search audit study for regulated industries?
- How many AI platforms named Gauge (Content Authority Platform) during the ranking stage?
Gauge qualified because it cleared the study's minimum-mentions threshold: at least two platforms had to name the entity during ranking discovery, and two did — Anthropic at rank 3 and DeepSeek at rank 9 [5]. That produced a 28.6% share of included platform responses and an average listed rank of 6.0.
Qualification is a discovery threshold, not an endorsement. All seven included platforms evaluated Gauge's fit for this use case, but only the two above named it during ranking. The remaining five platforms produced fit research without placing Gauge in their ranked recommendations.
Gauge is a young company. Independent coverage states it was founded in 2024 through the Y Combinator S24 cohort with $500K in pre-seed funding, addressing a measurement gap in AI-generated responses [5]. That maturity profile matters for regulated buyers weighing vendor longevity.
The Product, Model, Plan, or Service Most Relevant to AI Search Audits for Regulated Industries
Questions This Section Answers
- Which Gauge (Content Authority Platform) plan is most relevant for a regulated-industry AI search audit?
- Does the Gauge Growth plan include domain- and page-level citation tracking for regulated buyers?
The Growth plan is the most relevant publicly documented option for this use case, with Enterprise as the path for custom scale. Gauge's official pricing page lists Growth at $599 per month for 600 tracked prompts run daily across six AI platforms — ChatGPT, Google AI Overviews, AI Mode, Gemini, Perplexity, and Microsoft Copilot — which the company describes as 108,000 AI answers analyzed monthly, plus 18 publish-ready articles per month from its content engine [7].
Enterprise is custom-priced and, per one platform's reading of Gauge's feature page, adds all monitored platforms including Claude and Grok plus unlimited articles and seats [10]. Gauge's own pricing page states Claude and Grok tracking is available on any plan via API key with direct billing by the provider [11] — a point that conflicts with other platform readings and is flagged below.
For regulated buyers, the relevant capability set is citation analysis, mention tracking, competitor analysis, audits, and action recommendations [12]. Gauge's documentation describes the product as built for marketing, growth, and content teams, running daily questions across major AI platforms, measuring mentions and citations, comparing competitors, and showing the sources behind results [13].
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Gauge (Content Authority Platform) does well for regulated-industry AI search audits?
- Is Gauge (Content Authority Platform) strong at citation and mention measurement for regulated brands?
Platforms broadly agreed on Gauge's measurement capabilities, and this was the most consistent finding across the study. Gauge tracks citations at both domain and page level across six major AI platforms on Growth, with Claude and Grok available via API key, and reports citation rate and mention rate as separate metrics [14]. Independent coverage corroborates that Gauge treats citation and brand mention as separate signals, defining citation rate as how frequently a tracked site is used as a source and mention rate as how frequently the brand itself appears in the generated answer [16].
Platforms also agreed on competitor benchmarking and source analysis. Gauge benchmarks competing brands across the same monitored prompts and platforms [19], and its Citation Analysis identifies the sources AI relies on when generating answers [20]. One platform noted that only 11% of domains cited by ChatGPT are also cited by Perplexity, which is the kind of divergence per-model tracking is meant to expose [21].
A third area of agreement was the audit-to-roadmap workflow. Gauge lists an Audit function with recommendations for owned properties, an Action Center with concrete visibility actions, gap analysis, coverage analysis, and Insights explaining visibility changes [20]. Its Health Score runs a nightly audit against nine criteria [22].
Agreement here reflects consistent platform reporting, not verified product performance. Company-owned citations materially outnumber independent ones in this study, and no platform independently tested the platform.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Do AI platforms disagree about whether Gauge (Content Authority Platform) is suitable for regulated-industry compliance audits?
- Is Gauge (Content Authority Platform) pricing and plan structure consistent across AI platform research?
Fit ratings diverged sharply. OpenAI, Google, Grok, and Perplexity rated Gauge a good fit; Kimi rated it mixed; Anthropic rated it weak; DeepSeek rated it uncertain. The split tracks one question: whether the buyer needs compliance-grade governance or only external visibility measurement.
Anthropic's position was the most restrictive, stating that Gauge lacks audit trail infrastructure, governance controls, privacy certifications such as HIPAA BAA and GDPR DPA, and regulatory reporting capabilities, and that it cannot satisfy HIPAA, GDPR, PCI DSS, FedRAMP, EU AI Act, or state-level AI compliance requirements [23]. Kimi reached a similar conclusion from a different angle, finding no documented SOC 2 Type II, HIPAA, or GDPR certifications and no zero-data-retention or bring-your-own-cloud options [26].
DeepSeek's uncertainty was methodological rather than substantive: withgauge.com did not resolve during that platform's research, so product, plan, pricing, and compliance claims could not be verified [28]. That is a retrieval failure, not evidence of absence.
Pricing and plan structure were inconsistent across sources. Gauge's official site lists Growth at $599 monthly and Enterprise as custom [29]. Independent sources variously describe a $99/month Starter tier [30], a Professional tier with eight AI platforms [32], and an Agency Mode at $300 per client per month [34]. One platform noted that third-party reviews mention Starter or different lower-price tiers not consistently shown on the main pricing page [35].
Claude and Grok availability is directly contradictory. Gauge's pricing page says any plan can enable them via API key with provider-side billing [39], while other platform readings state they are gated at Enterprise or require custom API keys [40]. One platform also flagged a separate credit-based "Agent Led Growth" service starting at $100/month aimed at coding-agent preferences, warning regulated buyers to confirm they are buying the core AEO platform [42].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Which Gauge (Content Authority Platform) features map to regulated-industry AI search audit requirements?
- Can Gauge (Content Authority Platform) identify influential source domains and content gaps for a regulated brand?
Gauge maps well to five of the six category criteria and poorly to compliance-specific requirements. Against the study's criteria — recommendation analysis, mention and citation measurement, competitor benchmarking, influential source-domain analysis, content and authority gaps, and a prioritized improvement roadmap — platforms reported advantages on measurement, benchmarking, source analysis, gap identification, and roadmap generation, with compliance suitability as the recurring limitation.
On recommendation analysis and roadmap, Gauge's official site lists an Audit function with recommendations for owned properties, an Action Center with concrete visibility actions, gap analysis, coverage analysis, and Insights explaining visibility changes [43]. One platform noted the public material does not establish that recommendations are reviewed by compliance or legal specialists.
On citation and mention measurement, Gauge documents URL citation rate and domain citation rate metrics and where to find them [44]. Its documentation states the Library combines search, bot, AI traffic, and citation metrics [45]. Gauge's own resource material argues visibility and mention rate cannot improve until citation rate improves, and that a healthy citation rate with a low mention rate indicates content informs answers without earning brand recognition [46].
On competitor and source-domain analysis, Gauge benchmarks competing brands across the same monitored prompts and platforms [48] and its Citation Analysis identifies sources AI relies on when generating answers [43]. One platform noted the public description does not specify the depth of domain-level authority scoring or regulated-source validation.
On content and authority gaps, Gauge advertises gap analysis, coverage analysis, audit recommendations, and a content engine that drafts articles from high-performing topics [43]. Its content engine claims to create AI-citation-focused content and then track whether new pages get cited by domain and URL [49]. One independent review reported that Gauge shows where you stand but cannot improve citations on its own [50], and another platform reported outputs are generic templates requiring significant editing — a platform-reported quality claim, not independently verified.
On integrations, Gauge lists GA4, Google Search Console, Slack, API, export, and S3 integration capabilities [43]. One independent review described GA4 integration as turning AI citation tracking into defensible ROI metrics [51].
On compliance suitability, the reviewed public material does not establish regulatory certifications, formal compliance controls, legal review, records-retention guarantees, or industry-specific regulatory mappings [43]. Independent compliance guidance states that HIPAA-covered AI vendors must be certified, willing to sign a BAA, and capable of encryption, role-based access, and audit logging for PHI, and that healthcare organizations should verify certifications rather than accept vendor self-declarations [52].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Gauge (Content Authority Platform) cost per month for a regulated-industry AI search audit?
- What additional fees or contract terms should a regulated buyer confirm before purchasing Gauge (Content Authority Platform)?
The publicly documented entry point for multi-platform auditing is $599 per month on Growth, with Enterprise custom-priced. Gauge's official pricing page lists Growth at $599/month for 600 tracked prompts daily across six AI platforms, 108,000 monthly AI answers, and 18 publish-ready articles per month [55]. Enterprise adds custom prompts, seats, articles, locations, and recurring working sessions with the Gauge team [58].
Lower-tier pricing is reported inconsistently. Independent sources describe a $99/month Starter tier limited to ChatGPT with 100 prompts per day and three seats [59]. One platform reported prompt overages at $1 per additional test beyond daily limits [63]. Another reported Agency Mode at $300 per client per month [64]. Gauge's own documentation mentions a credits-based feature area with 1,500 credits included, roughly 10 credits per typical preference run, and roughly $3–$4 per typical eval [65].
Contract terms are largely undisclosed. One platform reported a 7-day free trial on Growth and Enterprise with data collection beginning the same day, a monthly subscription model, and no long-term contract lock-in mentioned [59]. Another reported plans billed month-to-month with cancellation or upgrade at any time [66]. Gauge's official pricing page states a free trial exists but does not publish cancellation, renewal, refund, or service-level terms (official:C2). One platform noted public sources do not clearly publish annual minimums, cancellation terms, SLAs, or auto-renewal terms [67].
Additional fees are unclear. OpenAI's research flagged that overage, extra prompt volume, additional seats, additional domains, implementation, premium support, API usage, and third-party model charges are unclear, and that an independent source reports possible additional costs for Claude and Grok access not confirmed in official material [68]. Gauge's pricing page states Claude and Grok tracking is available on any plan via API key with direct billing by the provider [69].
Best Suited For
Questions This Section Answers
- Who is Gauge (Content Authority Platform) best suited for in a regulated industry?
- Is Gauge (Content Authority Platform) a good choice for marketing and content teams at regulated companies?
Gauge is best suited to marketing, communications, SEO, and digital-governance teams at regulated companies that need recurring AI visibility measurement rather than compliance certification. OpenAI's assessment lists 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 [70].
Grok's assessment adds mid-market companies in law, healthcare, and private equity needing daily multi-model AI mention and citation tracking and content gap analysis [71]. Perplexity's assessment emphasizes regulated-industry marketing or content teams that need AI citation and mention tracking across major AI platforms, teams wanting domain- and URL-level citation visibility plus content recommendations, and organizations that can start self-serve on Growth or evaluate Enterprise for custom needs [72].
One independent review described Gauge as targeting mid-market to enterprise organizations with dedicated staff and technical sophistication [73]. Another platform noted Gauge is built for in-house brands looking for outcomes and case-study-backed intelligence, in contrast to agency-focused tools with unlimited seats [74].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Gauge (Content Authority Platform) for a regulated-industry AI search audit?
- Is Gauge (Content Authority Platform) unsuitable for buyers who need HIPAA, SOC 2, or GDPR certification evidence?
Gauge is probably not the right primary purchase for buyers whose audit requirement is compliance evidence rather than visibility measurement. Anthropic's assessment states it is not best for healthcare providers, insurance companies, or fintech firms conducting AI governance audits under HIPAA, GDPR, PCI DSS, or EU AI Act requirements; financial services and regulatory teams needing runtime enforcement, policy versioning, and audit trail evidence; organizations handling PHI, PII, or regulated transaction data requiring BAA, DPA, SOC 2, or FedRAMP certifications; and companies seeking to audit internal AI systems deployed in regulated contexts such as loan approvals, diagnoses, or claims processing [75].
OpenAI's assessment similarly excludes buyers requiring a demonstrated compliance-management platform, formal regulatory certification, legal approval workflow, or immutable audit evidence as the primary product function, small teams needing a low-cost or free AI-search audit product, and organizations requiring guaranteed coverage of every relevant AI model, geography, language, or regulated query without validating actual coverage [78].
Kimi's assessment excludes financial services, healthcare, and legal organizations requiring SOC 2 Type II, HIPAA, or GDPR-certified vendors with signed DPAs, buyers needing zero data retention or bring-your-own-cloud deployment, organizations subject to EU AI Act high-risk system documentation requirements, and teams whose audit queries may contain PII, PHI, or confidential data requiring processor-level compliance guarantees [79].
Google's assessment excludes highly risk-averse regulated companies expecting completely automated, pre-approved compliance-workflow controls, agencies requiring unlimited client seats on tight budgets, and teams needing native non-enterprise tracking for Claude and Grok [81].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Gauge (Content Authority Platform) when a regulated buyer needs compliance certifications?
- When should a regulated buyer choose a governance platform instead of Gauge (Content Authority Platform)?
Another option is better when the buyer's primary requirement is governance, certification, or enforcement rather than visibility measurement. Anthropic's assessment recommends governance platforms with runtime enforcement and model monitoring such as Arthur, Galileo, and Langfuse when the buyer needs to audit internal AI models for bias, fairness, drift, and regulatory alignment, and recommends Galileo, Arthur, IBM watsonx.governance, or Vanta when HIPAA, GDPR, PCI DSS, FedRAMP, or EU AI Act compliance evidence is required [84].
Kimi's assessment recommends Linkup, ZeroEntropy, or Clarista when SOC 2 Type II, GDPR DPA, or HIPAA BAA is mandatory; Linkup when zero data retention or bring-your-own-cloud is required; VerifyWise or Shieldra when multi-framework AI governance spanning EU AI Act, ISO 42001, and NIST AI RMF is needed; and Quox Compliance Suite when evidence bundle export with SHA-256 checksums and trace replay is required [86].
OpenAI's assessment recommends a broader enterprise SEO, content-governance, or digital-risk platform when formal workflows, permissions, records retention, compliance review, or established enterprise procurement controls are needed, a lower-cost AI-visibility monitor when the requirement is limited to basic mention tracking, and an internal or agency-led audit when regulated claims require domain-specific legal, medical, financial, or policy review [92].
DeepSeek's assessment recommends a vendor with published attestations when certified compliance artifacts such as SOC 2 Type II, HIPAA, or GxP are a precondition, a vendor with audited methodology when independent accuracy benchmarking is mandatory, and a vendor with self-serve published pricing when standard online terms are required before evaluation [93].
Google's assessment recommends Profound when compliance teams require complex manual marketing-automation workflows and stringent approval gating before content or programmatic changes go live, and Peec AI or Otterly.AI for digital agencies needing unlimited user seats on limited budgets [94].
Questions to Verify Before Buying
Questions This Section Answers
- What should a regulated buyer confirm with Gauge (Content Authority Platform) before signing a contract?
- Which security, data-processing, and model-coverage terms must be verified before buying Gauge (Content Authority Platform)?
Buyers should treat the following as open items, because the reviewed material does not resolve them. OpenAI's verification list asks which exact models, search surfaces, model versions, locations, languages, and query frequencies are included in Growth versus Enterprise; whether domain-level and page-level citation tracking are both included and whether raw answer, citation, prompt, timestamp, and competitor data can be exported for audit evidence; how citations are normalized, deduplicated, scored, and classified by source domain, authority, jurisdiction, and reliability; what security certifications, data-processing agreement, subprocessors, data residency options, retention controls, deletion process, encryption, SSO, RBAC, and audit logs are available; whether confidential, personal, regulated, or privileged information can be restricted or redacted in prompts, analytics integrations, generated content, and support workflows; contractual terms for cancellation, renewal, service levels, support, data ownership, data export, and deletion; additional fees for prompt overages, seats, domains, API access, integrations, content generation, or third-party model access; whether Gauge supports mandatory human approval, claim substantiation, disclosure, version control, and compliance sign-off before generated content is published; and what independent evidence exists for accuracy, repeatability, coverage, and customer outcomes in regulated industries [97].
Anthropic's verification list asks whether Gauge holds HIPAA BAA, GDPR DPA, SOC 2 Type II, or FedRAMP authorization and whether the roadmap includes these; where customer data is stored and whether data residency is committed; whether Gauge can generate audit trail evidence sufficient for healthcare, financial, or insurance audit inquiries; whether sensitive data can be encrypted at rest and in transit and who manages keys; whether Gauge can sign a DPA or BAA; whether content generation output is suitable for highly regulated content; whether Gauge commits to runtime policy enforcement; who its current enterprise customers are in healthcare, finance, or regulated sectors; what its subprocessor list contains; whether it offers role-based access controls, SSO/SAML, and audit logging; whether it can provide EU AI Act conformity documentation or human oversight records; whether it can support regulatory examinations under OCC, Fed, or FDIC guidance; and what its data retention and deletion policy is [98].
Perplexity's verification list asks whether Enterprise includes compliance, security, data residency, retention, or audit-log controls; whether prompts, citations, and content outputs are stored or used for model training; whether annual commitments, cancellation rights, or seat and location minimums apply to Enterprise; which AI platforms and geographies are included in Growth versus Enterprise; whether citation tracking covers priority domains, branded queries, and the competitor set at required depth; what exactly is included in the $599 Growth plan versus credits-based or add-on pricing; and whether the vendor can provide customer references from regulated industries [104].
DeepSeek's verification list asks which AI answer engines and regulated verticals Gauge covers and at what update cadence; what the documented methodology for citation and mention attribution is and whether any independent accuracy benchmark exists; which compliance certifications or attestations are currently held and whether reports can be shared under NDA; exact Growth versus Enterprise plan limits, prices, minimum terms, and cancellation rules; where data is stored, what the retention policy is, and whether a DPA is available for US-regulated buyers; whether audit outputs can be exported in formats suitable for compliance, legal, and medical-legal review; and who reference customers in regulated categories are [107].
Google's verification list asks whether the Content Engine can be restricted or turned off so a regulatory compliance team can manually approve all briefs and outlines before drafting; whether the Action Center allows white-labeling or direct PDF/HTML exports for reporting compliance audits to risk committees; and whether a target keyword list fits within the 600 daily prompt limit of Growth and what the pricing thresholds are for scaling prompts below full Enterprise [108].
Final AI Consensus Verdict
Gauge is a good fit for regulated companies seeking AI-search visibility and citation audits, especially when the priority is measurement plus a prioritized content and authority-improvement workflow. It should not be treated as a standalone regulatory-compliance or legal-audit system [110].
The consensus is conditional rather than unanimous. Four platforms rated it good, one mixed, one weak, and one uncertain. The disagreement is not about capability — platforms consistently credited Gauge's citation tracking, mention tracking, competitor benchmarking, and source-domain analysis — but about whether those capabilities satisfy a regulated buyer's compliance obligations. They do not, on the reviewed evidence.
Purchase is most defensible after validating model coverage, evidence export, security and data-processing controls, contract terms, and human-review workflows [110]. Regulated buyers should pair Gauge with internal compliance governance and, where certification evidence is mandatory, with a governance-grade platform [111].
How This Review Was Produced
This review synthesizes fit-research responses from seven AI platforms — OpenAI, Anthropic, Google, Grok, Perplexity, Kimi, and DeepSeek — each asked which AI search audit providers they would recommend for a regulated-industry buyer needing recommendation visibility, citations, source quality, competitor performance, citation architecture, factual-risk exposure, and improvement opportunities without aggressive or unsupported tactics. The study date is 2026-09-18.
Two platforms named Gauge during ranking discovery, which met the study's minimum-mentions threshold of two. All seven platforms then produced fit research covering strengths, limitations, pricing, alternatives, and verification questions. Fit ratings were assigned by each platform independently.
Citations are platform-reported evidence, not independently verified facts. Company-owned citations materially outnumber independent citations in this study, and no platform independently tested the product. Where a platform supplied no citation for a factual claim, that claim is labeled platform-reported or unverified.
Methodology Limitations
Platform-reported research dates differ from the authoritative run date. Six platforms reported 2026-09-18; DeepSeek reported 2026-01-15, roughly eight months earlier [113]. Platform-reported dates are provenance metadata and do not independently prove freshness.
One platform's research was conducted without search enabled. DeepSeek's response states search was disabled and that withgauge.com did not resolve during research, so its product, plan, pricing, and compliance findings are unverified [113]. That is a retrieval failure, not evidence that the claims are false.
The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Company-owned sources materially outnumber independent ones, so company claims should not be read as independently verified.
Pricing, plan names, and feature scopes conflict across sources and were not resolved by guessing. Buyers should confirm current terms directly with the vendor.
The deterministic identity audit noted that official-site retrieval failed for one or more mentions and that company-name variants were collapsed onto one canonical brand before minimum-mentions qualification. Gauge also sells a separate credit-based Agent Led Growth service aimed at coding-agent preferences, which one platform warned could be confused with the core AEO platform [114].
This review evaluates Gauge only for AI Search Audits for Regulated Industries. It is not a broad company review, and findings should not be generalized to other use cases. For the full set of provider comparisons in this category, see the AI Search Audits for Regulated Industries consensus index.
Explore more ai search audits market intelligence guidance in the category directory.
Sources
Company-Owned Sources
- Gauge documentation - Gauge Docs: https://docs.withgauge.com/
- Core AEO Metrics - Gauge Learn: https://docs.withgauge.com/introduction/core-aeo-metrics
- Library - Gauge Docs: https://docs.withgauge.com/navigating/library
- Quox · Compliance Suite: audit-ready AI operations: https://quox.ai/compliance-suite
- AI governance platform: register, assess, govern, and monitor AI systems: https://verifywise.ai/platform
- Compliance Monitoring for AI Apps: https://www.clarista.io/platform/compliance
- AI Search API Compliance: Enterprise Guide 2026: https://www.linkup.so/blog/what-is-ai-search-api-compliance-and-what-enterprise-teams-should-demand-in-2026
- AI & Security Compliance Platform: https://www.shieldra.ai/
- Gauge | AI Visibility Platform & Analytics for GEO: https://www.withgauge.com/
- Gauge vs Profound: Which AEO Platform Is Right for You?: https://www.withgauge.com/blog/gauge-vs-profound
- Gauge | How to Optimize Content for AI Citations: https://www.withgauge.com/blog/how-to-optimize-content-for-ai-citations
- Gauge vs Authoritas AI Tracker | Feature Comparison & Pricing: https://www.withgauge.com/compare/authoritas
- Gauge vs Peec AI: AI Visibility Platform Comparison: https://www.withgauge.com/compare/peec-ai
- Gauge Features: The AI Marketing Agent for GEO & AEO: https://www.withgauge.com/features
- Content Engine | AI Citation Content Generator - Gauge: https://www.withgauge.com/features/content-engine/
- Gauge | Pricing: https://www.withgauge.com/pricing/
- Gauge Resources | AI Visibility | Generative Engine Optimization Analytics: https://www.withgauge.com/resources/
- AI Search Analytics and Reporting - Gauge: https://www.withgauge.com/resources/ai-search-analytics-and-reporting
- Best AI Citation Tracking Tools in 2026 | Gauge: https://www.withgauge.com/resources/best-ai-citation-tracking-tools-2026/
- 10 Best AI Visibility Tools for AI SEO in 2026 | Gauge: https://www.withgauge.com/resources/best-ai-visibility-tools/
- Best GEO Tools for Law Firms, Healthcare, and Private Equity in 2026: https://www.withgauge.com/resources/best-geo-tools-law-firms-healthcare-private-equity
- Gauge Features: The AI Marketing Agent for GEO & AEO | Gauge: https://www.withgauge.com/resources/gauge-features/
Additional AI research evidence114 records
- AI research evidence record anthropic:28-11
- AI research evidence record anthropic:28-12
- AI research evidence record anthropic:22-1
- AI research evidence record anthropic:20-3
- AI research evidence record anthropic:7-9
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:10-8
- AI research evidence record anthropic:10-9
- AI research evidence record anthropic:10-10
- AI research evidence record perplexity:c11
- AI research evidence record anthropic:10-21
- AI research evidence record openai:c1
- AI research evidence record perplexity:c13
- AI research evidence record anthropic:28-11
- AI research evidence record anthropic:28-12
- AI research evidence record anthropic:8-3
- AI research evidence record anthropic:8-4
- AI research evidence record anthropic:8-5
- AI research evidence record anthropic:8-8
- AI research evidence record openai:c1
- AI research evidence record anthropic:29-16
- AI research evidence record anthropic:29-13
- AI research evidence record anthropic:22-1
- AI research evidence record anthropic:22-4
- AI research evidence record anthropic:20-3
- AI research evidence record kimi:linkup-compliance
- AI research evidence record kimi:zeroentropy-review
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:11-1
- AI research evidence record anthropic:11-3
- AI research evidence record anthropic:11-4
- AI research evidence record google:2.2.2
- AI research evidence record grok:web:1
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c4
- AI research evidence record perplexity:c10
- AI research evidence record perplexity:c12
- AI research evidence record anthropic:10-21
- AI research evidence record google:2.2.5
- AI research evidence record perplexity:c11
- AI research evidence record google:2.2.1
- AI research evidence record openai:c1
- AI research evidence record perplexity:c9
- AI research evidence record perplexity:c6
- AI research evidence record anthropic:2-4
- AI research evidence record anthropic:2-5
- AI research evidence record anthropic:8-8
- AI research evidence record perplexity:c5
- AI research evidence record anthropic:6-8
- AI research evidence record anthropic:6-7
- AI research evidence record anthropic:37-5
- AI research evidence record anthropic:37-6
- AI research evidence record anthropic:37-10
- AI research evidence record anthropic:10-8
- AI research evidence record anthropic:10-9
- AI research evidence record anthropic:10-10
- AI research evidence record anthropic:10-20
- AI research evidence record anthropic:11-1
- AI research evidence record anthropic:11-3
- AI research evidence record anthropic:11-4
- AI research evidence record google:2.2.2
- AI research evidence record google:2.2.5
- AI research evidence record grok:web:1
- AI research evidence record perplexity:c13
- AI research evidence record google:2.2.1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:10-21
- AI research evidence record openai:c1
- AI research evidence record grok:web:4
- AI research evidence record perplexity:c13
- AI research evidence record anthropic:7-5
- AI research evidence record google:1.2.7
- AI research evidence record anthropic:22-1
- AI research evidence record anthropic:22-4
- AI research evidence record anthropic:20-3
- AI research evidence record openai:c1
- AI research evidence record kimi:linkup-compliance
- AI research evidence record kimi:zeroentropy-review
- AI research evidence record google:2.2.1
- AI research evidence record google:2.2.5
- AI research evidence record google:1.2.7
- AI research evidence record anthropic:20-3
- AI research evidence record anthropic:20-4
- AI research evidence record kimi:linkup-compliance
- AI research evidence record kimi:zeroentropy-review
- AI research evidence record kimi:quox-compliance
- AI research evidence record kimi:verifywise-platform
- AI research evidence record kimi:shieldra-platform
- AI research evidence record kimi:clarista-platform
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record google:1.4.7
- AI research evidence record google:1.2.7
- AI research evidence record google:2.2.7
- AI research evidence record openai:c1
- AI research evidence record anthropic:22-1
- AI research evidence record anthropic:22-4
- AI research evidence record anthropic:20-3
- AI research evidence record anthropic:37-5
- AI research evidence record anthropic:37-6
- AI research evidence record anthropic:37-10
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c11
- AI research evidence record perplexity:c13
- AI research evidence record deepseek:c1
- AI research evidence record google:2.2.1
- AI research evidence record google:2.2.5
- AI research evidence record openai:c1
- AI research evidence record anthropic:20-3
- AI research evidence record kimi:linkup-compliance
- AI research evidence record deepseek:c1
- AI research evidence record google:2.2.1
Independent Sources
- Gauge: pricing, engines and status: https://agentvisibilitytools.com/tool/gauge/
- Gauge: Details, Reviews, Pricing, & Features | CheckThat.ai: https://checkthat.ai/brands/gauge
- Gauge Pricing 2026: Plans, Costs & ROI Breakdown - Gauge | CheckThat.ai: https://checkthat.ai/brands/gauge/pricing
- Gauge Review: Is This Mid-Market AEO Platform Worth It? (2026: https://cintra.co/gauge-review/
- Gauge Review: Is This Mid-Market AEO Platform Worth It: https://cintra.run/blog/gauge-review
- Gauge: AI crawlers, Copilot and MCP server: https://citedindex.com/gauge
- How do I start a ZeroEntropy enterprise security review (SOC 2 Type II, HIPAA) and get the compliance artifacts?: https://codeables.dev/article/how-do-i-start-a-zeroentropy-enterprise-security-review-soc-2-type-ii
- Gauge - Comparateur-IA: https://comparateur-ia.com/en/ai-tools/gauge
- Best AI Governance Platforms for Regulated Industries | Galileo: https://galileo.ai/blog/best-ai-governance-platforms-regulated-industries
- Gauge alternatives: pricing, monitoring and claim intelligence: https://knitknot.ai/alternatives/gauge
- Gauge Review (2026) - MakerStack: https://makerstack.co/reviews/gauge-review/
- Peec AI vs Gauge: Which AI Visibility Tool Wins in 2026?: https://menra.co/peec-ai-vs-gauge/
- Passionfruit: Best SEO, GEO and AI Search Optimization Service: https://passionfruit.io/partners/gauge
- What Is Gauge? AI Search Visibility, AEO & GEO Platform - Ansvisor: https://www.ansvisor.com/ai-visibility-glossary/gauge
- AI Workflow Automation for Regulated Industries: Compliance Guide: https://www.cygnet.one/feeds/blog/ai-workflow-automation-compliance-hipaa-fca-gdpr-finance-healthcare-technology
- Gauge for AEO 2026: AI Search Visibility Tracking: https://www.imarkinfotech.com/gauge-for-aeo-2026-ai-search-visibility-tracking/
- AI Governance Solutions for Regulated Industries: Top 10 Tools for 2026: https://www.kiteworks.com/cybersecurity-risk-management/ai-governance-solutions-regulated-industries/
Additional AI research evidence114 records
- AI research evidence record anthropic:28-11
- AI research evidence record anthropic:28-12
- AI research evidence record anthropic:22-1
- AI research evidence record anthropic:20-3
- AI research evidence record anthropic:7-9
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:10-8
- AI research evidence record anthropic:10-9
- AI research evidence record anthropic:10-10
- AI research evidence record perplexity:c11
- AI research evidence record anthropic:10-21
- AI research evidence record openai:c1
- AI research evidence record perplexity:c13
- AI research evidence record anthropic:28-11
- AI research evidence record anthropic:28-12
- AI research evidence record anthropic:8-3
- AI research evidence record anthropic:8-4
- AI research evidence record anthropic:8-5
- AI research evidence record anthropic:8-8
- AI research evidence record openai:c1
- AI research evidence record anthropic:29-16
- AI research evidence record anthropic:29-13
- AI research evidence record anthropic:22-1
- AI research evidence record anthropic:22-4
- AI research evidence record anthropic:20-3
- AI research evidence record kimi:linkup-compliance
- AI research evidence record kimi:zeroentropy-review
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:11-1
- AI research evidence record anthropic:11-3
- AI research evidence record anthropic:11-4
- AI research evidence record google:2.2.2
- AI research evidence record grok:web:1
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c4
- AI research evidence record perplexity:c10
- AI research evidence record perplexity:c12
- AI research evidence record anthropic:10-21
- AI research evidence record google:2.2.5
- AI research evidence record perplexity:c11
- AI research evidence record google:2.2.1
- AI research evidence record openai:c1
- AI research evidence record perplexity:c9
- AI research evidence record perplexity:c6
- AI research evidence record anthropic:2-4
- AI research evidence record anthropic:2-5
- AI research evidence record anthropic:8-8
- AI research evidence record perplexity:c5
- AI research evidence record anthropic:6-8
- AI research evidence record anthropic:6-7
- AI research evidence record anthropic:37-5
- AI research evidence record anthropic:37-6
- AI research evidence record anthropic:37-10
- AI research evidence record anthropic:10-8
- AI research evidence record anthropic:10-9
- AI research evidence record anthropic:10-10
- AI research evidence record anthropic:10-20
- AI research evidence record anthropic:11-1
- AI research evidence record anthropic:11-3
- AI research evidence record anthropic:11-4
- AI research evidence record google:2.2.2
- AI research evidence record google:2.2.5
- AI research evidence record grok:web:1
- AI research evidence record perplexity:c13
- AI research evidence record google:2.2.1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:10-21
- AI research evidence record openai:c1
- AI research evidence record grok:web:4
- AI research evidence record perplexity:c13
- AI research evidence record anthropic:7-5
- AI research evidence record google:1.2.7
- AI research evidence record anthropic:22-1
- AI research evidence record anthropic:22-4
- AI research evidence record anthropic:20-3
- AI research evidence record openai:c1
- AI research evidence record kimi:linkup-compliance
- AI research evidence record kimi:zeroentropy-review
- AI research evidence record google:2.2.1
- AI research evidence record google:2.2.5
- AI research evidence record google:1.2.7
- AI research evidence record anthropic:20-3
- AI research evidence record anthropic:20-4
- AI research evidence record kimi:linkup-compliance
- AI research evidence record kimi:zeroentropy-review
- AI research evidence record kimi:quox-compliance
- AI research evidence record kimi:verifywise-platform
- AI research evidence record kimi:shieldra-platform
- AI research evidence record kimi:clarista-platform
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record google:1.4.7
- AI research evidence record google:1.2.7
- AI research evidence record google:2.2.7
- AI research evidence record openai:c1
- AI research evidence record anthropic:22-1
- AI research evidence record anthropic:22-4
- AI research evidence record anthropic:20-3
- AI research evidence record anthropic:37-5
- AI research evidence record anthropic:37-6
- AI research evidence record anthropic:37-10
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c11
- AI research evidence record perplexity:c13
- AI research evidence record deepseek:c1
- AI research evidence record google:2.2.1
- AI research evidence record google:2.2.5
- AI research evidence record openai:c1
- AI research evidence record anthropic:20-3
- AI research evidence record kimi:linkup-compliance
- AI research evidence record deepseek:c1
- AI research evidence record google:2.2.1
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
- 39
- Ranking mentions
- 2 of 7
- Platform share
- 29%
- Final consensus rank
- #7
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
17 independent · 22 company-owned
Evidence support
34 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 1256d4d90ff464621db8e5dfb7be9bef0dbce1fe0b003a2961ecde34ea9b7bf4