Best White-Label AI Search Audit Services for Agencies

Answer Capsule

White Label IQ is the consensus leader for white-label AI search audit services for agencies in this 7-platform study, named by 4 of 7 platforms (57.1%) with an average listed position of 7.5 and a best position of 5. It is the only entity in the index whose public positioning is exclusively agency-facing, with invisible white-label delivery, an evidence pack, and an executive readout. OtterlyAI (rank 2) and AI Labs Audit (rank 3) are the strongest alternatives for distinct buyer needs: OtterlyAI for agencies that want self-serve monitoring with a Looker Studio reporting workaround, and AI Labs Audit for agencies that want a credit-based white-label platform with client portals and multi-model coverage. The study covered 7 platforms and 51 unique entities, of which 10 qualified by being named by at least two platforms. The principal limitation is that company-owned citations materially outnumber independent citations, and several entities' pricing, contract terms, and white-label scope could not be verified from public sources.

Research Snapshot

• Topic: White-label AI search audit services for agencies
• Target buyer: Agencies that need white-label AI search, audit, visibility, or reporting capabilities for client delivery
• Platforms included (7): openai, anthropic, deepseek, grok, perplexity, kimi, google
• Research date: 2026-09-18
• Unique entities named: 51
• Qualifying entities: 10
• Eligibility rule: Named by at least two platforms during ranking discovery
• Ranking unit: Audit company, audit service, or advisory provider
• Geography: United States

The study used one standardized prompt sent once to each included platform. Platform-reported research dates differ from the authoritative run date for some platforms (deepseek reported 2026-06-12 for White Label IQ, 2026-01-15 for OtterlyAI, 2026-02-14 for AI Labs Audit, 2026-06-12 for LLM Pulse, 2026-02-14 for Peec AI, 2026-01-15 for AuraMetrics, 2026-06-11 for GEORaiser, and 2026-01-15 for Semrush). These dates are provenance metadata and do not independently prove freshness.

The Consensus Ranking

Questions This Section Answers

• What are the best white-label AI search audit services for agencies in 2026?
• Which AI search audit provider has the most platform mentions across ChatGPT, Claude, Gemini, Perplexity, and other AI assistants?
• Which white-label AI search audit providers were named by at least two AI platforms in this study?

The ranking order is based on platform mentions, then average listed rank, then best listed rank. Platform mentions count only platforms that named the entity during ranking discovery; all included platforms evaluated fit, but not every platform named every entity.

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

Questions This Section Answers

• Which white-label AI search audit provider should an agency choose if it needs a fully managed, expert-led audit delivered under its own brand?
• Which AI search audit platform is best for an agency that wants self-serve monitoring with branded Looker Studio dashboards?
• Which white-label AI search audit provider is best for an agency that needs client portals, multi-model coverage, and credit-based pricing?

1. White Label IQ

Questions This Section Answers

• Is White Label IQ worth it for agencies that need a fully managed white-label AI visibility audit, and what are its main drawbacks?
• What should an agency verify before buying White Label IQ's AI Visibility Audit, given that pricing is not published?

White Label IQ is the consensus leader because it is the only entity in this index whose public positioning is exclusively agency-facing and explicitly white-label. It states that it works exclusively with digital agencies, remains invisible behind the agency's brand, and offers a client-safe deck, evidence pack, and readout that agencies can lead ^[1]. The White Label IQ fit review covers the full audit scope, pricing opacity, and verification questions in more detail.

Why it ranked here. White Label IQ was named by 4 of 7 platforms (openai, anthropic, kimi, perplexity) with an average listed position of 7.5 and a best position of 5. Its platform mentions are the highest in the index, but its average position is the second-highest among qualifying entities, which reflects that platforms ranked it lower than several SaaS alternatives while still naming it most often.

Best suited for. Digital agencies that want a client-ready, white-label AI visibility audit delivered as a managed service; agencies needing reports covering ChatGPT, Gemini, Bing Copilot, Perplexity, Google AI features, citations, sentiment, and competitor visibility; and agencies preferring expert-led analysis, evidence screenshots, a prioritized roadmap, and an executive readout rather than an automated scan ^[1].

Main strengths for the use case. The published scope includes checks across ChatGPT browsing, Gemini/SGE, Bing Copilot, Perplexity, Google AI Overviews, Featured Snippets, and People Also Ask ^[1]. Deliverables include an evidence pack, visibility scorecard, competitor benchmarks, prioritized roadmap, visibility checklist, and a 30-minute executive walkthrough ^[1]. The vendor states a typical timeline of one to two weeks, dependent on access and scope ^[1]. White Label IQ was founded in 2014 and claims 15+ years of white-label delivery experience across development and marketing services ^[2].

Main limitations. No public price for the AI Visibility Audit was identified; White Label IQ describes fixed-cost projects, dedicated resources billed monthly, and ad hoc hour blocks, but the public materials do not state audit-specific rates, minimums, volume discounts, or reseller terms ^[1]. The audit is diagnostic only: White Label IQ states that it does not edit content or code, and broader implementation is separate ^[1]. Competitor scope is potentially inconsistent: up to three competitors is stated for the report, while intake asks for five to seven competitors ^[1].

2. OtterlyAI

Questions This Section Answers

• Is OtterlyAI worth it for agencies that need white-label AI search audit reporting, and what are its main drawbacks?
• Is OtterlyAI or White Label IQ better for an agency that needs a fully branded client portal rather than a Looker Studio workaround?

OtterlyAI is the strongest self-serve alternative for agencies that want to operate the platform themselves. It provides strong agency-oriented monitoring, prompt research, citation analysis, competitor benchmarking, workspaces, APIs, and Looker Studio reporting, but it does not provide native white-labeling of its own interface, branding, or URLs ^[3]. The OtterlyAI fit review covers the Agency Partner Program, prompt limits, and add-on costs in more detail.

Why it ranked here. OtterlyAI was named by 3 of 7 platforms (anthropic, deepseek, openai) with an average listed position of 3.67 and a best position of 2. Its average position is the second-best in the index, but it was named by fewer platforms than White Label IQ.

Best suited for. Agencies needing scalable AI-search visibility monitoring and recurring client reporting; agencies comfortable creating branded dashboards in Google Looker Studio; and agencies needing separate workspaces, prompt tracking, recommendations, citation analysis, and competitor benchmarking ^[3].

Main strengths for the use case. The Agency Partner Program adds unlimited workspaces, allowing agencies to separate client brands, prompts, reports, and team access, and increases prompt capacity to 150 on Standard and 500 on Premium ^[4]. The Looker Studio connector supports custom dashboards, agency branding, automated or scheduled report delivery, live links, and client access without an OtterlyAI login ^[5]. Standard and Premium include API and MCP access with published monthly request allowances ^[6]. OtterlyAI tracks six AI platforms: ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, and Microsoft Copilot, with four core engines included in all plans ^[7]. The GEO URL audit feature audits pages for crawlability, AI-readiness, citation potential, and structured data ^[8].

Main limitations. OtterlyAI states that it does not currently offer native white-labeling; its interface, branding, and URLs cannot be customized ^[9]. White-label delivery depends on Google Looker Studio configuration and agency implementation effort ^[3]. Core engine coverage is limited to four listed engines unless agencies purchase add-ons for Google AI Mode, Gemini, and Claude ^[10]. Prompt capacity is finite and additional prompts cost extra; high-volume agencies may need Enterprise pricing ^[3]. OtterlyAI supplies software rather than a complete outsourced audit or consulting service ^[11]. The platform lacks AI-crawler analytics and Reddit or community monitoring ^[12]. .

3. AI Labs Audit

Questions This Section Answers

• Is AI Labs Audit worth it for agencies that need white-label GEO/AEO audits with client portals, and what are its main drawbacks?
• Which AI Labs Audit plan includes white-label PDF reports and client portals, and what does each tier cost?

AI Labs Audit is the strongest platform-first alternative for agencies that want white-label reports, client portals, and multi-model coverage in one subscription. White-label PDF reports are available from the Consultant plan; white-label client portals begin at Consultant+; centralized branding with subdomain and agency styling is documented for Agence+ ^[14]. The AI Labs Audit fit review covers credit consumption, model coverage, and data residency in more detail.

Why it ranked here. AI Labs Audit was named by 3 of 7 platforms (google, openai, perplexity) with an average listed position of 4.67 and a best position of 1. It received the best single position of any entity named by three or more platforms.

Best suited for. Agencies selling white-label GEO/AEO audits and recurring AI-visibility reporting; consultants needing branded PDF reports and client-facing dashboards; and agencies requiring multi-model prompt research, native-versus-web comparisons, competitor analysis, and scheduled audits ^[14].

Main strengths for the use case. The platform generates sector-specific analysis scenarios from a client's website and industry, allows agency editing, supports multiple reformulations, and reports results across more than 50 AI models ^[15]. It scores visibility across six indicators, analyzes citation position, sentiment, context, source authority, and semantic perception, and can generate prioritized action plans ^[16]. Automatic competitor detection, model-by-model competitive analysis, audit history, and comparison are listed as platform capabilities ^[17]. The service provides branded PDF reports, prioritized action plans, scheduled audits on higher plans, and a secure read-only client portal without requiring the client to create an account ^[18]. The vendor documents non-deterministic model responses with approximately 15% to 20% variability on certain queries and presents confidence intervals, judge calibration, drift correction, and configuration hashes as mitigations ^[19].

Main limitations. The scoring is an estimate rather than an absolute measure, and the vendor acknowledges material response variability ^[19]. Independent validation, independent customer references, and third-party performance evidence were not identified in the reviewed sources ^[20]. The strongest documented localization is European; United States-specific delivery details are not sufficiently explicit ^[15]. White-label depth differs materially by plan; full centralized branding is reserved for Agence+ ^[14]. External model API calls may involve United States transfers despite European hosting ^[21]. Credit-based usage can create variable ongoing costs for high-volume or multilingual audits ^[14]. .

4. LLM Pulse

Questions This Section Answers

• Is LLM Pulse worth it for agencies that need a ready-made white-label client portal, and what are its main drawbacks?
• Which LLM Pulse plan includes full white-label with a custom domain, and what does it cost?

LLM Pulse has the best average listed position in the entire index (1.0) but was named by only 2 platforms. It advertises partial white-labeling through a branded subdomain and full white-labeling through the agency's own domain, logo, favicon, colors, fonts, and removal of LLM Pulse branding ^[22]. The LLM Pulse fit review covers prompt limits, compliance gaps, and enterprise terms in more detail.

Why it ranked here. LLM Pulse was named by 2 of 7 platforms (google, grok) with an average listed position of 1.0 and a best position of 1. Both platforms that named it ranked it first, but the low platform-mention count places it fourth overall.

Best suited for. Agencies launching or scaling an AI-search visibility or GEO/AEO reporting service; agencies needing branded client dashboards, custom domains, client project management, and reports; and agencies combining prompt tracking with citation, sentiment, competitor, recommendation, and AI-traffic analysis ^[22].

Main strengths for the use case. The platform advertises prompt research, tracked prompts, and monitoring across ChatGPT, Perplexity, Gemini, Google AI Mode, and AI Overviews, with additional models or add-ons listed on the main site ^[22]. It advertises citation-source analysis, visibility and share-of-voice metrics, exact AI responses, recommendations, and GEO writing or optimization features ^[23]. It advertises competitor benchmarking in its free visibility report, model-level comparisons, reputation reports, and competitor analysis within its white-label offering ^[23]. It advertises shareable reputation reports, custom reports on its Scale tier, branded dashboards, client project management, API access, Looker Studio connectivity, and embedded dashboards for client portals ^[22]. The terms state that agencies may use the service to provide services to their own clients on any plan, and that eligible plans additionally offer white-label and embedded access through iframes and custom domains [e4:official:C3].

Main limitations. The recommended Agency White Label Plan is not publicly priced or quota-defined ^[22]. The platform's public materials do not fully explain sampling, prompt execution frequency, geographic personalization, model-version handling, or metric calculations ^[22]. Technical citation architecture auditing is not clearly distinguished from citation-source monitoring ^[22]. Most supporting evidence is company-reported; independent verification of performance and data quality is limited ^[22]. Standard published project limits may be insufficient for agencies managing many clients unless custom enterprise terms are negotiated ^[22].

5. Peec AI

Questions This Section Answers

• Is Peec AI worth it for agencies that need white-label AI search audit reporting, and what are its main drawbacks?
• Does Peec AI offer true white-label platform access, or do clients see Peec branding?

Peec AI is a strong agency analytics and reporting tool, but it is not yet a fully verified white-label or reseller platform. Agency materials claim client-ready dashboards, shareable dashboards, automated reporting, Data Studio dashboards, CSV exports, and dashboards in the agency's own branding, but the public information does not clearly verify custom domains, complete removal of Peec branding, reseller rights, or a contractual white-label SLA ^[24]. The Peec AI fit review covers agency pricing, partner program status, and citation analysis depth in more detail.

Why it ranked here. Peec AI was named by 2 of 7 platforms (anthropic, deepseek) with an average listed position of 3.0 and a best position of 1. Deepseek ranked it first, while anthropic ranked it fifth.

Best suited for. SEO, GEO, PR, content, and digital agencies managing multiple client workspaces; recurring AI-search visibility monitoring and client reporting; prospect audits using pitch projects and competitor/source-gap analysis; and agencies that need multi-model, multi-country, and citation-level analysis ^[24].

Main strengths for the use case. Peec AI provides dedicated agency plans with isolated client projects, shared credit allocation, unlimited team/client seats, consolidated billing, and plan tiers aimed at agencies managing multiple clients ^[24]. The platform supports prompt management, suggested prompts, prompt-volume estimates, configurable models, tracking frequency, countries, languages, and competitor prompts ^[24]. It reports visibility, position, sentiment, and share of voice against named competitors, with competitors suggested from co-mentions and also configurable manually ^[24]. It analyzes URLs and domains cited by AI engines, classifies source types, and provides source-gap analysis showing sources where competitors are cited but the tracked brand is not ^[25]. Every agency plan includes free 7-day pitch projects for prospect audits ^[26].

Main limitations. White-label capability is described at a high level but not fully specified as a reseller or embedded white-label product ^[24]. Exact plan pricing and feature entitlements require confirmation ^[24]. Credit allocation can become expensive or operationally complex when many clients, prompts, models, countries, and daily tracking are combined ^[24]. Observed AI citations are not equivalent to a complete technical audit of site architecture or guaranteed future AI visibility ^[24]. Peec AI's published product material states that AI models may not see paywalled or JavaScript-dependent content because the tracked models only see HTML content ^[27].

6. AuraMetrics

Questions This Section Answers

• Is AuraMetrics worth it for agencies that need usage-based white-label AI visibility audits, and what are its main drawbacks?
• What is the exact cost per client and per scan for AuraMetrics' white-label platform?

AuraMetrics is the most transparently priced white-label option in the index, with a usage-based model that agencies can model against client pricing. It advertises agency branding with the agency's logo, colors, and custom subdomain, and states that clients do not see AuraMetrics ^[28]. The AuraMetrics fit review covers module coverage, resale rights, and methodology gaps in more detail.

Why it ranked here. AuraMetrics was named by 2 of 7 platforms (grok, kimi) with an average listed position of 4.5 and a best position of 3. Kimi ranked it third, while grok ranked it sixth.

Best suited for. SEO, growth, and analytics agencies adding AI-search audits as a packaged service; agencies needing branded client reports and multiple client workspaces; and agencies selling recurring AI mention monitoring or competitive benchmarking ^[28].

Main strengths for the use case. The white-label page advertises 15 users per client, multiple admins, full data isolation, configurable per-client and per-module limits, and 17+ AI modules ^[28]. The white-label offering advertises GEO Score analysis with Content Readiness, Trust Auditor, Schema Validator, and Entity Optimizer modules, plus content briefs, schema fixes, and entity optimization as follow-on deliverables ^[28]. Advertised capabilities include Prompt Simulation, Prompt Tracking, Answer Monitor, and AI Mention Tracking across ChatGPT, Gemini, Google AI Mode, Claude, and Perplexity ^[28]. Competitive AI Benchmarking is advertised with Citation Gap, Brand Snapshot, and Prompt Simulation modules ^[28]. The white-label page advertises a $299/month platform fee, $15 per active client for the first 500 clients and $10 thereafter, $0.15 per GEO analysis scan, $0.25 per competitive-intelligence scan, $0.025 per answer-monitoring unit, and $0.30 per content generation, with a 10% volume discount above $1,000 in scanning [e6:official:C1].

Main limitations. Public materials do not sufficiently document scoring methodology, sampling design, prompt-generation controls, citation-attribution accuracy, or reproducibility ^[28]. The advertised monitoring coverage and limits vary by plan or offering; exact white-label model coverage is unclear ^[28]. Usage-based charges can become difficult to forecast when agencies scale prompts, models, scans, and clients ^[28]. The white-label page advertises agency resale, while the general terms prohibit reselling the service without written consent; the controlling white-label contract is unclear ^[29]. The security page says cancellation is anytime, while the terms require cancellation at least 24 hours before renewal to avoid automatic renewal ^[29].

7. GEORaiser

Questions This Section Answers

• Is GEORaiser worth it for agencies that need per-audit wholesale white-label AI visibility audits, and what are its main drawbacks?
• What is the exact wholesale price per audit and re-audit for GEORaiser's Agency Partner Program?

GEORaiser is the only entity in the index with a purely per-audit wholesale model and no subscription requirement. It offers 100% white-labeled PDF reports carrying the agency's logo and brand colors with zero GEORaiser watermarks, keeping the vendor completely invisible to the client ^[30]. The GEORaiser fit review covers methodology inconsistencies, verification failures, and volume discounts in more detail.

Why it ranked here. GEORaiser was named by 2 of 7 platforms (google, grok) with an average listed position of 5.0 and a best position of 3. Google ranked it third, while grok ranked it seventh.

Best suited for. Agencies seeking a specialized GEO audit methodology centered on technical AI discoverability, content citability, schema, crawler access, competitor gaps, and citation monitoring; and agencies that can use PDF reports, templates, or partner-delivered audits without requiring a documented API or deeply customized reporting workflow ^[31].

Main strengths for the use case. The service measures a 10-dimension, 6-category AI Visibility Score covering Technical GEO, AI Citability, Schema and Structured Data, Content E-E-A-T, Brand Authority, and Platform Optimization ^[32]. The Comprehensive Audit ($500 wholesale) analyzes up to 5 URLs, tracks competitor benchmarking against 5–7 rivals, and examines specific target search prompts and topics ^[33]. Reports are human-reviewed by a GEO specialist and delivered in 3 to 5 business days ^[34]. Partners receive a sales enablement kit that includes a 5-slide pitch deck, a sales talk track, an objection-handling guide, and a redacted sample audit ^[35]. GEORaiser offers a dedicated Re-Audit tier ($150 wholesale) designed for 90-day follow-ups to track progress against the original client baseline ^[36].

Main limitations. The exact partner product requested is not publicly documented sufficiently to confirm agency-reseller workflow ^[31]. Prompt volume, prompt customization, query localization, engine coverage under partner audits, and bulk scaling are unclear ^[31]. Public documentation emphasizes technical and on-site citability signals; claim-level citation architecture and broad external-source benchmarking are not clearly demonstrated ^[31]. No independent evidence was found in the reviewed sources validating client outcomes, report accuracy, or wholesale-service performance ^[31]. Public product pages contain methodology-scope inconsistencies: six dimensions are described in one FAQ, while other pages refer to ten dimensions ^[31]. Official-site retrieval failed during normalization, and the reported domain georaiser.com remains an unverified identity key ^[37].

8. Semrush

Questions This Section Answers

• Is Semrush worth it for agencies that need white-label AI search audits, and what are its main drawbacks?
• How much does Semrush's AI Visibility Toolkit cost per domain, and does it include a white-label client portal?

Semrush is the strongest option for agencies already operating on Semrush, but it is not a turnkey white-label audit-resale service. It provides scalable AI-search visibility audits, prompt research, competitor benchmarking, citation analysis, technical AI-readiness checks, and branded reporting, but it is less clearly a complete white-label resale service for agencies that want fully outsourced audit production, unrestricted prompt volume, or a turnkey client-facing SaaS portal ^[38]. The Semrush fit review covers per-domain costs, API gaps, and the sunset client portal in more detail.

Why it ranked here. Semrush was named by 2 of 7 platforms (anthropic, deepseek) with an average listed position of 5.5 and a best position of 4. Deepseek ranked it fourth, while anthropic ranked it seventh.

Best suited for. Agencies already using Semrush that want to add AI-search audits to SEO retainers; agencies needing repeatable prompt, citation, competitor, and technical AI-readiness analysis with branded reports; and larger agencies able to negotiate Enterprise AIO, API, governance, or partner terms ^[38].

Main strengths for the use case. The AI Visibility Toolkit provides Prompt Research using Semrush's prompt database, including topic demand, prompts, intent, difficulty, and competitive opportunity analysis, and Semrush reports more than 317 million prompts and responses across ChatGPT, Gemini, Google AI Overviews, and AI Mode ^[39]. Visibility Overview and related reports show mentions, citations, cited pages, sources, missing prompts, AI visibility, and competitor gaps ^[40]. Competitor Research compares AI visibility, mentions, citations, and topic coverage against up to four competitors at a time ^[41]. AI Search Site Audit checks crawl accessibility and AI-crawler-related issues, including checks against eight AI crawlers ^[42]. My Reports supports branded, customizable, scheduled, white-label reports with AI-generated summaries, shareable links, and integrations with Semrush and 20-plus marketing data sources ^[43]. Semrush advertises Enterprise partner models including co-selling, reselling, and referrals, with onboarding and enablement ^[44].

Main limitations. White-label reporting is clearer than white-label software resale; public documentation does not confirm complete removal of Semrush attribution from every workflow or unrestricted redistribution rights ^[38]. Prompt and monitored-website limits may make Pro+ or lower tiers unsuitable for agencies with many clients ^[38]. AI Visibility Toolkit reports are based partly on a proprietary prompt database and synthetic or collected prompt methodologies, so results may not represent every client's real-world query mix ^[39].

9. CiteWorks Studio

Questions This Section Answers

• Is CiteWorks Studio worth it for agencies that need white-label GEO audits with citation architecture depth, and what are its main drawbacks?
• What should an agency verify before buying CiteWorks Studio's Agency Partner Program, given that pricing is not published?

CiteWorks Studio is the most consultative option in the index, positioned as a behind-the-scenes strategic partner rather than a self-serve platform. It states that its Agency Partner Program can operate as a white-label backend, specialist strategy partner, collaborative delivery partner, or ongoing execution partner, with partner-branded reports, behind-the-scenes support, flexible communication, and no public client disclosure without permission ^[45]. The CiteWorks Studio fit review covers methodology depth, pricing opacity, and delivery model in more detail.

Why it ranked here. CiteWorks Studio was named by 2 of 7 platforms (google, perplexity) with an average listed position of 6.5 and a best position of 6. It has the highest average listed position of any qualifying entity, meaning the platforms that named it ranked it lower than most alternatives.

Best suited for. Agencies serving high-consideration or competitive clients; SEO, content, PR, web, branding, paid-media, and full-service agencies adding GEO or AI-search capability; agencies needing partner-branded reports and behind-the-scenes delivery; and agencies wanting audits that can expand into strategy, implementation, and recurring reporting ^[45].

Main strengths for the use case. The published AI Search Audits service includes prompt-cluster mapping, AI-answer visibility review, recommendation-placement analysis, competitor recommendation-gap analysis, cited-source review, and analysis across Google AI Overviews, ChatGPT, Gemini, Perplexity, and Copilot ^[46]. The company describes competitor visibility analysis, competitor recommendation-gap analysis, prompt and keyword cluster mapping, category benchmarking, and source-influence analysis as partner deliverables or service capabilities ^[46]. CiteWorks describes mapping owned, third-party, review, comparison, community, video, directory, social, forum, and industry sources, including citation gaps and competitor citation footprints ^[46]. Published partner deliverables include visibility audit reports, AI-search audit reports, prompt-cluster maps, competitor visibility analysis, citation-source maps, AI market-intelligence reports, monthly progress reports, executive-summary decks, and corrective-action roadmaps ^[45]. The offering can extend from audits into GEO strategy, embedding-level and cosine-gap analysis, technical SEO, schema, entity clarity, content briefs and production, citation architecture, source-layer research, and ongoing corrective-action support ^[46].

Main limitations. Pricing and commercial terms are not publicly transparent ^[45]. Published capabilities do not establish guaranteed turnaround times, capacity at agency scale, model-query methodology, sampling rules, or repeatability standards ^[45]. The public evidence does not independently verify the company's reported case-study outcomes ^[45]. The service appears more consultative and execution-oriented than a standardized self-service audit platform ^[45].

10. Ayzeo

Questions This Section Answers

• Is Ayzeo worth it for agencies that need white-label AI search audits with GA4 integration, and what are its main drawbacks?
• Does Ayzeo's Pro plan include a white-label client dashboard, or does that require a separate add-on?

Ayzeo is the lowest-cost entry point in the index for agencies that want white-label PDF reports plus implementation tooling. Pro includes white-label PDF reports with agency logo, colors, and branding, and the separate White-Label Dashboard add-on costs $299/month on Pro; Enterprise includes fully white-label platform delivery with custom domain and zero Ayzeo branding ^[47]. The Ayzeo fit review covers prompt limits, model add-on costs, and GA4 detection uncertainty in more detail.

Why it ranked here. Ayzeo was named by 2 of 7 platforms (grok, openai) with an average listed position of 8.0 and a best position of 7. It has the lowest average listed position of any qualifying entity.

Best suited for. Agencies adding AI-search visibility monitoring or GEO audits to existing SEO, content, PR, or digital-marketing retainers; agencies needing branded PDF reports without building their own AI-search analytics stack; and agencies with up to several client projects that can work within Pro's prompt and project limits ^[47].

Main strengths for the use case. Pro includes 40 monitored AI prompts per project, expandable through $15/month prompt packs that add 10 prompts per project per pack ^[47]. Ayzeo states that it tracks visibility, citations, mentions, sentiment, citation rates, URLs or pages opened by AI systems, per-model results, historical trends, and prompt-level breakdowns ^[48]. The platform advertises technical SEO, metadata, schema, content-quality, GEO, LLM-compatibility, JSON-LD, LLMs.txt, content optimization, and prioritized recommendations ^[48]. Pro and the agency offering include competitor visibility benchmarking, share-of-voice comparisons, competitor prompt comparisons, and historical reporting ^[49]. The agency page describes classic and Enhanced report templates, including prompt answers, source pages AI reads or visits, competitor comparisons, sentiment evidence, period deltas, and configurable sections ^[49]. Paid plans include unlimited team members per project, role-based permissions, multi-project management, Google Analytics and Search Console integrations on Pro, and Slack or priority support on Pro ^[49]. Pro includes native GA4 integration that automatically detects and measures AI chatbot traffic from ChatGPT, Claude, Perplexity, Gemini, DeepSeek, and other engines as a distinct channel, importing 90 days of historical data on first sync and updating daily ^[50].

Main limitations. Pro's 40-prompt base limit per project may be restrictive for broad, high-volume client research ^[47].

What the Cross-Platform Study Reveals About This Market

Questions This Section Answers

• What does the cross-platform AI consensus reveal about which white-label AI search audit providers are most recommended for agencies?
• Why do managed white-label audit services and self-serve monitoring platforms rank differently in AI recommendations for agencies?

The market splits into three delivery models, and the platforms ranked them differently. Managed white-label services (White Label IQ, CiteWorks Studio, GEORaiser) were named for their agency-only positioning and invisible delivery, but several platforms flagged their lack of self-serve scalability. Self-serve monitoring platforms (OtterlyAI, LLM Pulse, Peec AI, AuraMetrics, Ayzeo) were named for their workspaces, dashboards, and reporting integrations, but several platforms flagged their lack of native white-label interfaces. Established SEO platforms (Semrush) were named for their data breadth and existing agency workflows, but several platforms flagged their per-domain pricing and report-level-only white-labeling.

The most consistent finding across platforms is that "white-label" means different things in this category. White Label IQ and CiteWorks Studio describe fully invisible, agency-branded delivery. OtterlyAI and Peec AI describe branded reporting through Looker Studio or exports while the underlying platform retains vendor branding. Semrush describes branded PDF reports through Pro Reports while the platform itself remains Semrush-branded. AI Labs Audit, LLM Pulse, AuraMetrics, and Ayzeo describe platform-level white-labeling with custom domains or subdomains, but the depth varies by tier. .

Where the AI Platforms Agreed

Questions This Section Answers

• Which white-label AI search audit providers did multiple AI platforms agree on for agencies?
• What capabilities did AI platforms consistently say agencies need from a white-label AI search audit provider?

Platforms agreed on several points. First, they agreed that White Label IQ is the most agency-specific option, with four platforms naming it and multiple platforms describing its agency-only positioning and invisible delivery ^[52]. Second, they agreed that OtterlyAI and AI Labs Audit are the strongest platform-first alternatives, with three platforms naming each and multiple platforms describing their white-label reporting, workspaces, and multi-model coverage ^[56]. Third, they agreed that citation analysis, competitor benchmarking, and prompt research are core requirements, with every entity's evidence bundle describing these capabilities. Fourth, they agreed that no entity guarantees rankings, citations, or AI recommendations, and that AI-search outputs are dynamic, personalized, and directional rather than definitive ^[58].

Where the AI Platforms Disagreed

Questions This Section Answers

• Why did AI platforms disagree about whether LLM Pulse, AuraMetrics, GEORaiser, CiteWorks Studio, and Ayzeo are legitimate white-label AI search audit providers?
• Which white-label AI search audit providers had conflicting fit ratings across AI platforms, and what should buyers verify?

Platforms disagreed most sharply on entities whose official sites could not be retrieved or verified. For LLM Pulse, google and grok rated it strong and described detailed white-label features, while deepseek and kimi reported that no verifiable information could be retrieved and that the claimed website returned no accessible product pages ^[60]. For AuraMetrics, google and grok rated it strong and described the pay-as-you-go model, while deepseek and kimi reported that pricing, plan structure, and contract terms could not be verified ^[62]. For GEORaiser, google and grok rated it strong and described the per-audit wholesale model, while anthropic, deepseek, kimi, and openai rated it uncertain because the official site could not be retrieved and the partner product names could not be verified ^[64].

How Buyers Should Choose

Questions This Section Answers

• How should an agency choose between a managed white-label audit service and a self-serve AI search audit platform?
• What should an agency check before choosing a white-label AI search audit provider for client delivery?

Start with the delivery model. If the agency wants to sell audits without operating software, the managed options are White Label IQ, CiteWorks Studio, and GEORaiser. White Label IQ is the most agency-specific and has the highest platform-mention count, but publishes no pricing and is diagnostic-only ^[66]. CiteWorks Studio offers the deepest citation architecture and embedding-level GEO work, but is consultative and publishes no pricing ^[67]. GEORaiser offers the lowest per-audit cost and no subscription, but its partner product could not be verified from public sources ^[68].

If the agency wants to operate the platform and control delivery, the self-serve options are OtterlyAI, AI Labs Audit, LLM Pulse, Peec AI, AuraMetrics, and Ayzeo. OtterlyAI is the most mature for monitoring and reporting, with published pricing and an Agency Partner Program, but requires a Looker Studio workaround for white-label delivery ^[69]. AI Labs Audit offers the most complete platform-level white-labeling with client portals and multi-model coverage, but prices in euros and emphasizes European localization ^[70].

Methodology

This study used one standardized prompt sent once to each of 7 included platforms: openai, anthropic, deepseek, grok, perplexity, kimi, and google. The prompt asked which AI search audit providers would be recommended for agencies that need scalable prompt research, recommendation and citation analysis, competitor benchmarking, citation architecture analysis, clear reports, and ideally white-label or partner-friendly delivery.

The ranking order is based on platform mentions, then average listed rank, then best listed rank. Platform mentions count only platforms that named the entity during ranking discovery. All included platforms evaluated fit, but not every platform named every entity. The final ranking table is the sole authority for rank, platform mentions, platform share, average rank, and best rank.

Entities qualified for the index by being named by at least two platforms. Of 51 unique entities named across all platforms, 10 qualified. The research date is 2026-09-18. The geography is the United States. The ranking unit is audit company, audit service, or advisory provider.

Methodology Limitations

This study has several limitations that buyers should weigh.

First, the study used one standardized prompt sent once to each included platform. AI answers can vary by date, wording, location, account state, model, interface, browsing configuration, and the sources retrieved. A different prompt or a different day could produce a different ranking.

Second, platform-reported research dates differ from the authoritative run date for several platforms. Deepseek reported 2026-06-12 for White Label IQ, 2026-01-15 for OtterlyAI, 2026-02-14 for AI Labs Audit, 2026-06-12 for LLM Pulse, 2026-02-14 for Peec AI, 2026-01-15 for AuraMetrics, 2026-06-11 for GEORaiser, and 2026-01-15 for Semrush. These dates are provenance metadata and do not independently prove freshness.

Third, company-owned citations materially outnumber independent citations. The evidence audit found that for most entities, the majority of citations were company-owned. Company claims should not be described as independently verified.

Fourth, the URLs were collected from platform responses and were not independently validated by the writer stage.

Fifth, official-site retrieval failed for several entities during normalization, including White Label IQ (retrieved but not verified), AI Labs Audit (retrieved but not verified), LLM Pulse (retrieved but not verified), Peec AI (HTML exceeded size limit), GEORaiser (connection timeout), and CiteWorks Studio (retrieved but not verified). No failed fetch was used as a verified domain key. .

Final Verdict

White Label IQ is the consensus leader for white-label AI search audit services for agencies, named by 4 of 7 platforms with the highest platform-mention count in the index. It is the only entity whose public positioning is exclusively agency-facing and explicitly white-label, and its published scope covers most requested audit dimensions. Its main weaknesses are the absence of public pricing, the absence of independent validation, and a diagnostic-only delivery model.

OtterlyAI and AI Labs Audit are the strongest platform-first alternatives. OtterlyAI is best for agencies that want self-serve monitoring with a Looker Studio reporting workaround and published pricing. AI Labs Audit is best for agencies that want platform-level white-labeling with client portals and multi-model coverage, though it prices in euros and emphasizes European localization.

LLM Pulse, Peec AI, AuraMetrics, GEORaiser, Semrush, CiteWorks Studio, and Ayzeo each fit distinct buyer needs. LLM Pulse has the best average listed position but the least verifiable public footprint. Peec AI has the strongest citation-source analysis but the weakest white-label rebranding. AuraMetrics has the most transparent usage-based pricing but inconsistent white-label rollout documentation. GEORaiser has the lowest per-audit cost but unverifiable partner terms. Semrush is the lowest-friction addition for existing Semrush agencies but scales linearly per domain. CiteWorks Studio has the deepest citation architecture work but no published pricing.