Best AI Visibility Audit Services

Answer Capsule

Profound is the consensus leader for AI Visibility Audit Services in this 7-platform study, named by 3 of 7 platforms (42.9%) at an average listed position of 2.0 and a best position of 1. Semrush ranks second on the same mention count with a weaker average position (3.33). For distinct buyer needs, ViAudit is the strongest alternative for recurring weekly multi-engine monitoring, AthenaHQ for credit-metered multi-model tracking with an action layer, Ahrefs for teams already inside the Ahrefs SEO ecosystem, and Peec AI for prompt-level citation and source-gap analysis. The study covered 7 platforms and 47 unique entities, of which 9 qualified by being named by at least two platforms. The principal limitation: this index reflects one standardized prompt sent once to each platform, and platform answers vary by date, wording, location, account state, model, interface, browsing configuration, and retrieved sources.

Research Snapshot

• Topic: Best AI Visibility Audit Services (AI search audits and market intelligence)
• Target buyer: Marketing team seeking an independent assessment of current AI visibility before investing in a larger GEO or AEO program
• Use case: AI Visibility Audit Services — where the brand appears, which competitors outperform it, which prompts matter, where citations originate, how citation architecture compares with competitors, and what to prioritize next
• Geography: United States
• Platforms included (7): openai, anthropic, deepseek, grok, perplexity, kimi, google
• Research date: 2026-09-18
• Unique entities named: 47
• Qualifying entities: 9
• Eligibility rule: Named by at least two platforms during ranking discovery
• Ranking unit: Audit company, audit service, or advisory provider

Platform mentions in this index count only ranking-discovery mentions. All 7 platforms evaluated fit, but a platform that assessed an entity's fit without naming it during ranking discovery does not add to that entity's mention count.

The Consensus Ranking

Questions This Section Answers

• What are the best AI visibility audit services for a marketing team in 2026?
• Which AI visibility audit provider was named by the most AI platforms in this study?

The order above is the supplied final ranking. It is based on platform mentions first, then average listed rank, then best listed rank. ViAudit has the best average listed position in the study (1.0) but only two mentions, which places it third.

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

Questions This Section Answers

• Which AI visibility audit service should a marketing team choose if it needs daily multi-engine monitoring rather than a one-time audit?
• Is Profound or Semrush better for a marketing team that already runs an SEO program?
• Which AI visibility audit provider is best for an agency managing multiple client brands?

1. Profound

Questions This Section Answers

• Is Profound worth it for AI visibility audits, and what are its main drawbacks?
• Which AI visibility audit platform should a buyer choose if they need citation-share and competitor citation comparison?

Profound is the consensus leader in this study and the only entity named by three platforms. It is a purpose-built AI visibility platform rather than a retrofitted SEO tool, and its marketed feature set maps almost one-to-one onto the buyer's stated criteria: brand and competitor visibility, prompt discovery, citation-source analysis, citation architecture comparison, and prioritization of next actions ^[1].

Why it ranked here. Profound was named by openai (rank 2), deepseek (rank 1), and google (rank 3), producing an average listed position of 2.0 and a best position of 1. Its platform mentions (3) and share of platform responses (42.9%) are the highest in the study, tied with Semrush, and its average position is better.

Best suited for. Teams that need daily monitoring of brand and competitor visibility across multiple AI answer engines; audits requiring prompt-level analysis, citation share, competitor citation comparison, source categorization, and content-priority recommendations; and multi-brand or agency programs requiring additional engines, custom prompt volumes, dedicated support, SSO/SAML, and SOC 2-related controls ^[3].

Main strengths for this use case. Profound states that it runs structured prompts daily across AI platforms and reports brand presence, ranking, sentiment, competitive presence, and visibility metrics ^[1]. Prompt Volumes identifies real-conversation demand, intent volume, competitor-associated prompts, co-citation patterns, and prompts where competitors are cited while the buyer is not ^[4]. Citation tracking operates at the answer-engine, prompt, domain, page, and competitor level, with source categorization such as owned, competitor, earned media, PR wire, social, and institution ^[5]. The platform supports citation-share analysis by platform, topic, and prompt, citation-rank comparison against competitors, watched-page monitoring, and analysis of top-cited domains and pages ^[6]. Recommendations are delivered through Agents, content briefs for underperforming pages, and outreach lists based on top-cited publishers ^[6].

Main limitations. Public materials do not prove universal coverage of all AI search, generative-answer, recommendation, shopping, or vertical-specific platforms ^[3]. Growth has stated limits of three answer engines and 100 prompts, so larger audits may require Enterprise ^[3]. The platform is primarily software and workflow infrastructure; the public materials do not establish that a human consultant delivers a bespoke one-time audit ^[3]. Profound's public claims about data scale, coverage, and product leadership are company-reported and should not be treated as independently validated outcomes ^[3]. Technical citation architecture analysis beyond observed citations — complete schema, crawlability, internal linking, or information-architecture auditing — is unclear ^[3]. One platform characterized Profound as "an AI-visibility monitoring tool — it measures, and it writes nothing," questioning whether it delivers audit-grade deliverables such as prioritized roadmaps with senior interpretation ^[7]. .

2. Semrush

Questions This Section Answers

• Is Semrush's AI Visibility Toolkit worth it for a marketing team that already uses Semrush for SEO?
• Which AI visibility audit tool should a buyer choose if they need AI visibility data combined with traditional SEO reporting?

Semrush ranks second on the same platform mention count as Profound (3) but with a weaker average listed position (3.33). It is the strongest option in this index for buyers who want AI visibility auditing integrated with an existing SEO, competitor research, and reporting stack rather than a standalone AI-only tool ^[8].

Why it ranked here. Semrush was named by deepseek (rank 3), grok (rank 5), and kimi (rank 2), producing an average listed position of 3.33 and a best position of 2.

Best suited for. Teams already using Semrush or Semrush One; brands needing competitor benchmarking, prompt research, cited-page analysis, and recurring monitoring in one platform; and marketing teams that want AI visibility data combined with conventional SEO, traffic, and reporting workflows ^[8].

Main strengths for this use case. The AI Visibility Toolkit provides an AI visibility score, mentions, cited pages, citations, topic coverage, sentiment-related reporting, and visibility comparisons across supported AI platforms ^[8]. Competitor Research compares a domain with up to four competitors using mentions, citations, and topic coverage ^[9]. Prompt Research searches Semrush's prompt database by keyword or topic and identifies prompts, topics, competitive presence, and opportunities; the Base plan separately includes tracking for 25 custom prompts ^[8]. The product combines prompt and competitor gaps with an AI-readiness Site Audit that checks technical barriers, including blocked AI crawlers ^[10]. My Reports supports client-ready or internal dashboards combining AI visibility, SEO, Google Analytics, Google Search Console, and other Semrush data ^[11].

Main limitations. Semrush publicly lists ChatGPT, Google AI Overviews or AI Mode, Gemini, and Perplexity for relevant visibility tracking; the reviewed official materials do not establish equivalent monitoring coverage for Claude, Copilot, Meta AI, or every other generative-answer and recommendation platform ^[8]. The Base plan's 25 custom-prompt limit may be restrictive for large programs or many product categories ^[8]. The product is monitoring and diagnostic software, not clearly a managed audit or implementation service ^[8]. Semrush states that several reports use its Prompt Database and synthetic prompts generated from the domain and location, with Brand Performance reports updating weekly, so results should be treated as modeled monitoring data rather than a complete census of all real user prompts or all AI answers ^[8]. Public materials do not prove causal attribution between a recommended action and subsequent AI visibility improvement ^[8]. One independent review noted that Semrush "tells you that you're losing but doesn't give tactical workflows to fix it," lacking schema generation, entity optimization, or direct content formatting for LLMs ^[12].

Pricing or cost summary. The public U.S.

3. ViAudit

Questions This Section Answers

• Is ViAudit worth it for weekly AI visibility monitoring, and what should a buyer verify before paying?
• Which AI visibility audit provider should an agency choose if it needs white-label client reporting across seven engines?

ViAudit has the best average listed position in the entire study (1.0) but only two platform mentions, which places it third overall. It is positioned as a recurring weekly monitoring service rather than a one-time diagnostic audit ^[14].

Why it ranked here. ViAudit was named by anthropic (rank 1) and kimi (rank 1), producing an average listed position of 1.0 and a best position of 1. Its two mentions are the reason it sits below Profound and Semrush despite the stronger average position.

Best suited for. Teams wanting ongoing weekly monitoring across multiple AI answer engines rather than a one-time audit; marketing teams needing competitor comparisons, tracked buyer prompts, citation-source visibility, and prioritized technical/content recommendations; and agencies or multi-brand teams that need white-label reporting and broader engine, brand, and geography coverage ^[14].

Main strengths for this use case. ViAudit reports tracking ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, Copilot, and Grok, with the Agency Plan reported to include all seven engines and Starter reported to include four ^[14]. It reports automatically generating and running 50+ buyer-intent prompts weekly for each brand, including category comparisons and best-provider queries ^[14]. The platform reports an AI Visibility Score, engine-level breakdowns, competitor share of voice, mention position, and comparisons against up to five competitors on the Agency Plan ^[14]. It reports a 25-factor GEO audit covering structured data, FAQ content, thin content, sameAs links, citation readiness, technical signals, and authority factors, with prioritized fixes and expected visibility-lift estimates ^[14]. Reporting includes weekly scans, Slack and email alerts, a dashboard, and white-label client reporting on the Agency Plan ^[14].

Main limitations. The available evidence is largely vendor-reported and was not independently validated; the official-site fetch timed out during research ^[14]. The public material does not clearly document raw response retention, reproducibility, sampling controls, model/version tracking, or statistical treatment of volatile AI answers ^[14]. The platform's citation features may identify cited sources without providing the deeper citation architecture, source influence, or competitor citation-gap analysis the buyer may require ^[14]. Expected visibility-lift percentages are presented as estimates; their methodology and accuracy are unclear ^[14]. Starter tracks only four engines and three competitors per brand, so it may be insufficient for a buyer explicitly seeking broad cross-platform coverage ^[14]. No clear public evidence establishes implementation services, content execution, schema deployment, or direct remediation beyond recommendations ^[14].

Pricing or cost summary. The indexed ViAudit pricing page reports Starter at $199/month and Agency at $599/month ^[14].

4. AthenaHQ

Questions This Section Answers

• Is AthenaHQ worth it for AI visibility audits, and what are its main drawbacks?
• Which AI visibility audit platform should a buyer choose if they need multi-model coverage with an action layer and revenue attribution?

AthenaHQ ranks fourth with two platform mentions and an average listed position of 2.0. It is the most explicitly action-oriented platform in this index, pairing visibility tracking with an Action Center that converts findings into assignable optimization tasks ^[15].

Why it ranked here. AthenaHQ was named by deepseek (rank 2) and google (rank 2), producing an average listed position of 2.0 and a best position of 2.

Best suited for. Marketing teams treating AI-search visibility as an ongoing measurement and optimization program; brands needing visibility and competitor comparisons across multiple AI answer platforms; and teams that value prescriptive recommendations in addition to reporting ^[16].

Main strengths for this use case. AthenaHQ states that its Starter plan provides visibility tracking across 11 models, including ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Copilot, Grok, DeepSeek, Meta AI, and Mistral, with additional models available on request ^[16]. The company states that Athena tracks ChatGPT visibility at the prompt level and provides competitive benchmarks, allowing teams to identify prompts where competitors outperform the brand ^[16]. It describes citation tracking, citation intelligence, and analysis of on-page and off-site sources ^[16]. AthenaHQ Content is positioned as a recommendation engine that identifies content gaps and proposes on-page and off-page actions, and the platform includes an agentic Ask Athena interface for data-backed answers using account data, prompt monitoring, competitor benchmarks, and citation tracking ^[16]. Independent testing reported 37.3% share of voice, an 88% mention rate, a 30% citation rate, and full storage of every AI answer ^[17]. The platform holds a 4.9/5 G2 rating across 34 reviews as of June 2026 ^[18].

Main limitations. The public product description emphasizes ongoing SaaS monitoring more than a standardized, standalone audit report ^[16]. Credit consumption may make broad prompt, competitor, and multi-model coverage more expensive than the base subscription ^[16]. API and extra-credit pricing are not published ^[16]. The public materials do not fully explain methodology, sampling, geographic controls, reproducibility, or confidence intervals ^[16]. Managed-service scope and deliverables are not sufficiently specified publicly ^[16]. Self-Serve is limited to single-country tracking, pushing multi-market teams into Enterprise immediately ^[19]. The ACE Citation Engine, described as predicting citation probability and identifying content changes for improving citation rates, is Enterprise-only ^[20]. Credit-based metering creates unpredictable costs: tracking 50 queries daily across 5 engines consumes 250 credits per day, depleting a 3,600-credit allocation in about 14 days ^[21]. There is no free trial on Self-Serve or Starter ^[22]. Revenue attribution shows correlation, not proven causality ^[23]. .

5. Ahrefs

Questions This Section Answers

• Is Ahrefs Brand Radar worth it for AI visibility audits if the team already pays for Ahrefs?
• Which AI visibility audit tool should a buyer choose if they need Google AI Overviews tracking alongside traditional SEO data?

Ahrefs ranks fifth with two platform mentions and an average listed position of 3.0. It has the widest spread of platform opinion in this index: one platform ranked it first, another ranked it fifth, and fit ratings ranged from "strong" to "weak."

Why it ranked here. Ahrefs was named by deepseek (rank 5) and openai (rank 1), producing an average listed position of 3.0 and a best position of 1.

Best suited for. Marketing teams benchmarking brand and competitor visibility across Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini, and Copilot; teams needing prompt-level gaps, cited-page analysis, citation-source comparison, and ongoing monitoring; and organizations already using Ahrefs for SEO, content, competitive research, or reporting ^[24].

Main strengths for this use case. Brand Radar AI covers Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini, and Copilot; custom prompts can also include Claude and Grok, although Ahrefs states that new Grok data collection is currently unavailable ^[24]. The product reports brand mentions, citations, AI Share of Voice, impressions, visibility trends, and competitor comparisons across indexed AI platforms ^[25]. Custom Prompts lets buyers define questions, select platforms and locations, set daily, weekly, or monthly refreshes, group prompts, and compare responses for the brand, competitors, and category ^[26]. Brand Radar provides cited-page and citation-overview reporting, including cited URLs and competitor citation comparisons, and the API supports citation, mention, impression, and AI Share of Voice data ^[27]. Independent reviewers reported that Google AI Overviews tracking is directionally accurate and provides legitimate competitive benchmarking utility, described as the strongest component of Brand Radar ^[28].

Main limitations. AI visibility and demand metrics depend partly on Ahrefs modeling assumptions rather than complete direct measurement of platform usage ^[24]. Niche prompt coverage may require paid custom-prompt checks beyond included allowances ^[24]. Grok collection is currently restricted for new data ^[24]. Public materials do not establish that Ahrefs provides a managed audit, prioritized implementation roadmap, outreach, or content execution ^[24]. Reported prompt-index totals vary across official pages, including approximately 405M, 455M, and 459M ^[24]. Independent testing in January 2026 found Brand Radar reported only 3 ChatGPT mentions globally versus 123 actual mentions — a 97.5% undercounting — and 6 Perplexity mentions versus 212 actual, approximately 97% undercounting ^[30]. The methodology limitation is structural: Brand Radar only tracks brand mentions in response to its predefined prompts and cannot detect mentions in "dark queries" that deviate from its curated question set ^[33]. Brand Radar provides no sentiment analysis, fact-accuracy scoring, or assessment of whether AI platforms are recommending or misrepresenting the brand ^[35]. It does not track Claude, Grok, or Meta AI ^[36]. .

6. optiseo

Questions This Section Answers

• Is optiseo worth it for AI visibility audits, and can a buyer purchase it today?
• Which AI visibility audit provider should a buyer avoid if they need a currently available product with confirmed pricing?

optiseo ranks sixth with two platform mentions and an average listed position of 3.0, but it is the clearest disqualification in this index on availability grounds. Its AI Visibility Dashboard is an unlaunched concept, not a purchasable service [e6:official:C1].

Why it ranked here. optiseo was named by anthropic (rank 2) and kimi (rank 4), producing an average listed position of 3.0 and a best position of 2. Its ranking reflects ranking-discovery mentions, not product availability.

Best suited for. Teams willing to monitor or provide feedback on a potential future concept, and buyers evaluating whether optiseo may eventually develop an AI visibility product ^[37]. Evaluation cannot be completed without independent product verification ^[38].

Main strengths for this use case. The concept is explicitly aimed at understanding how a business appears in AI-generated answers and whether that information supports marketing decisions ^[37]. The company publicly identifies the need to validate data reliability and customer decision value before building the product ^[37]. Separately, optiseo operates as an agency helping service businesses build websites structured for both traditional Google search and AI-driven engines, setting up LLM.txt files, structured schema markup, and content optimized for extraction ^[39]. It also offers a Website Performance Audit reviewing technical SEO, basic AI visibility, content hierarchy, and lead conversion setups ^[40].

Main limitations. The AI Visibility Dashboard is not available for purchase or operational auditing ^[37]. There is no confirmed AI platform or model coverage ^[37]. There are no confirmed prompt, competitor, citation-source, citation-architecture, prioritization, reporting, export, or API capabilities ^[37]. No confirmed security, hosting, retention, support, launch, or service-level arrangements exist ^[37]. Illustrative pricing or plan information should not be treated as a current offer ^[37]. The official page advises users not to submit credentials or sensitive business data as feedback [e6:official:C1]. One platform reported that optiseo is consistently documented as a traditional SEO consulting firm, not a dedicated AI visibility platform vendor, creating ambiguity about whether the dashboard is a primary offering or an internal consulting tool ^[38].

Pricing or cost summary. No verified current price or purchasable plan exists for the AI Visibility Dashboard concept ^[37]. The supplied ranking-stage figure of $79/month, including a claimed 40% early-adopter discount, conflicts with the official page's statement that no pricing, discount, subscription, or launch terms are confirmed ^[37]. The official page states that pricing, discounts, subscriptions, and cancellation policies are not confirmed and that illustrative plans or offers shown in the design are not current commercial terms [e6:official:C1]. Expressing interest does not create a subscription or reserve a product [e6:official:C1].

Where platforms disagreed. Fit ratings were "weak" on openai, grok, and google, and "uncertain" on anthropic, deepseek, perplexity, and kimi.

7. LLMAudit

Questions This Section Answers

• Is LLMAudit worth it for AI visibility audits, and what are its main drawbacks?
• Which AI visibility audit tool should a small marketing team choose for a defined prompt set across four AI assistants?

LLMAudit ranks seventh with two platform mentions and an average listed position of 5.5. It is the most affordable qualifying option in this index and the only one that pairs prompt tracking with server-side AI crawler analytics as its stated differentiator ^[41].

Why it ranked here. LLMAudit was named by google (rank 10) and perplexity (rank 1), producing an average listed position of 5.5 and a best position of 1. The wide spread between its best and average position reflects substantial platform disagreement.

Best suited for. Small or mid-sized marketing and SEO teams monitoring a defined prompt set across four major AI assistants; teams wanting a combined prompt-monitoring dashboard and technical website-readiness audit; and buyers prioritizing practical fix recommendations, competitor comparison, and archived AI responses ^[42].

Main strengths for this use case. LLMAudit states that it tracks brand visibility across ChatGPT, Perplexity, Gemini, and Claude, and the public pricing page identifies these as the four supported AI models ^[42]. The public product page describes scheduled prompt tracking, visibility classification such as Top Rank, Low Rank, and Not Cited, archived responses, and historical trend monitoring; the pricing page states weekly tracking, with 4 weeks of history on Starter and 12 weeks on Pro ^[43]. Competitor comparison is publicly listed on the Pro plan, although the pricing table labels the feature as beta ^[43]. LLMAudit describes page-level audits covering crawler accessibility, schema coverage, entity clarity, content extractability, and JavaScript rendering, with a score and fix recommendations; current pricing specifies up to 10 pages on Starter and up to 50 pages on Pro ^[44]. The company claims server-side AI-bot analytics, including crawler activity, citations, and AI referral sessions ^[42]. It offers a free LLM visibility audit and free first scan without signup ^[45].

Main limitations. No public plan named Standard was found, creating a product-selection mismatch with the ranking-stage recommendation ^[42]. Starter and Pro have limited prompt, page, history, domain, and login allowances ^[42]. Competitor comparison is identified as beta ^[43]. Public documentation does not fully establish citation-architecture analysis, source-quality analysis, exports, API access, regional sampling, or prompt-research capabilities ^[42]. Independent validation of visibility scores and claimed outcomes was not identified ^[42]. The offer may require the buyer to interpret results and execute fixes internally ^[42]. The company is early-stage: 20 paying clients across four countries as of late September 2026, monitoring 50+ brands and tracking 10,000+ prompts, bootstrapped and founded in 2021 ^[46]. No SOC 2 Type II, SSO, or other enterprise security controls are confirmed in available materials ^[47].

8. Peec AI

Questions This Section Answers

• Is Peec AI worth it for AI visibility audits, and what are its main drawbacks?
• Which AI visibility audit platform should a buyer choose if they need citation-source gap analysis and competitor benchmarking by prompt?

Peec AI ranks eighth with two platform mentions and an average listed position of 5.5. It is the strongest option in this index for source-level and citation-gap analysis, distinguishing sources from visible citations and identifying sources that cite competitors but not the buyer ^[48].

Why it ranked here. Peec AI was named by deepseek (rank 6) and google (rank 5), producing an average listed position of 5.5 and a best position of 5.

Best suited for. Marketing or SEO teams auditing visibility across ChatGPT, Perplexity, Gemini, Microsoft Copilot, Google AI Overviews, and Google AI Mode; teams that need competitor benchmarking by prompt and AI model; and teams that need source, URL, citation-gap, query-fanout, and prioritized-action analysis ^[49].

Main strengths for this use case. Peec AI reports visibility, average position, sentiment, and share of voice, with side-by-side competitor comparisons by AI engine and tracked prompt ^[49]. The platform supports prompt libraries, suggested prompts, prompt-volume indicators, topic and intent classification, and prompt-level visibility-gap analysis ^[49]. It distinguishes sources from visible citations, reports domains and URLs used or cited by AI systems, classifies source types, and identifies sources that cite competitors but not the buyer ^[48]. The Actions and gap-analysis features rank opportunities based on source usage and competitor presence, supporting prioritization of owned-content, earned-media, partnership, and outreach work ^[50]. Peec AI publicly lists monitoring for ChatGPT, Perplexity, Gemini, Microsoft Copilot, Google AI Overviews, and Google AI Mode ^[49]. It executes each tracked prompt once every 24 hours on every selected model, enabling daily trend tracking and week-over-week comparisons ^[51]. Every tier includes unlimited seats, Peec MCP, API, all AI channels, Looker Studio, CSV, and daily tracking ^[52]. The company has raised roughly $29 million across three funding rounds and serves more than 2,500 teams ^[53].

Main limitations. Most available evidence is platform-reported rather than independently audited ^[49]. AI outputs are dynamic, so measured visibility depends on selected prompts, models, locations, timing, and sampling methodology ^[49]. AI systems may not access paywalled, JavaScript-dependent, or otherwise non-HTML content, so source analysis can omit relevant material ^[49]. The public pricing page does not expose a clearly verifiable current dollar price for Growth in the reviewed page content ^[49]. The recommended Growth plan is oriented toward agencies; a single in-house brand may find a brand plan simpler or less expensive ^[49]. Monitoring and recommendations do not guarantee improved rankings, citations, traffic, or conversions ^[49]. Standard self-serve plans include 3 AI models by default; a fourth model costs extra, and Enterprise plans cover up to 11 LLM models ^[55].

9. Viali Visibility Tracker

Questions This Section Answers

• Is Viali Visibility Tracker worth it for AI visibility audits, and what are its main drawbacks?
• Which AI visibility audit platform should a buyer choose if they need verbatim AI answer text and Google AI Overviews tracking?

Viali Visibility Tracker ranks ninth with two platform mentions and an average listed position of 6.0. It is the only qualifying option in this index that reads Google AI Overviews from live Google results and retains verbatim answer text rather than only an aggregate score ^[56].

Why it ranked here. Viali was named by anthropic (rank 4) and kimi (rank 8), producing an average listed position of 6.0 and a best position of 4.

Best suited for. Teams auditing one brand across ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Overviews; teams that need to compare competitor visibility and identify cited source domains; teams wanting continuous monitoring rather than a one-time manual audit; and teams that value locale-aware tracking, scheduled scans, and connections to GA4 and Google Search Console ^[57].

Main strengths for this use case. The product states that it tracks buyer queries across six engines: ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Overviews ^[57]. Viali states that it records the actual answer text for each tracked query and reports mention status, visibility score, sentiment, answer position, citations, and share of voice over time ^[57]. The product navigation and platform description claim competitor intelligence showing where rivals are cited and the buyer's brand is not ^[57]. Viali claims to expose the sources cited by AI engines and identify the exact sources engines trust ^[57]. The broader platform advertises a GEO Audit with weighted scores and a fix plan, Content Studio, website improvements, fix verification, and an impact ledger ^[57]. Viali claims locale-aware scans based on country, language, and script ^[57]. The platform advertises GA4, Search Console, Slack, Looker, REST API, Looker Studio, reports, and white-label capabilities ^[57]. One platform reported that Viali exposes exact Reddit, Quora, and YouTube threads AI cites, ranked by citation likelihood, with scoring and sentiment data ^[58].

Main limitations. Most evidence is vendor-reported rather than independently verified ^[57]. Citation extraction and inference methodology is not sufficiently detailed publicly for every engine ^[57]. The product page and pricing page present different scan-cadence descriptions by context ^[57]. The exact inclusion of GEO Audit, content workflows, prioritization, and verification features in the recommended product or plan is unclear ^[57]. Starter has low query volume and limited competitor capacity for a broad marketing-team audit ^[57]. No public SLA, uptime commitment, support response commitment, procurement terms, or detailed enterprise security documentation was confirmed from the reviewed pages ^[57]. AI answers are probabilistic and may change independently of marketing actions; the service should not be treated as causal proof that a content change produced a visibility gain ^[57].

What the Cross-Platform Study Reveals About This Market

Questions This Section Answers

• What does a 7-platform AI consensus study reveal about the AI visibility audit market in 2026?
• Which AI visibility audit capabilities do most platforms agree buyers need?

Three structural patterns emerge from this study.

First, the market splits into monitoring platforms and audit services, and platforms disagree about which category matters. Profound, Semrush, Ahrefs, Peec AI, LLMAudit, and Viali are all software platforms that measure and report. Only a minority of platform responses framed the buyer's need as a fixed-scope, human-delivered audit with a prioritized roadmap. Kimi's assessment of Profound captured this tension directly: "Profound is a monitoring and measurement dashboard for AI visibility, not an audit service with consultative deliverables" ^[59]. Deepseek applied the same logic to Ahrefs, rating it weak because it is "primarily a continuous monitoring and PR intelligence tool, not a one-time deep diagnostic audit" ^[60]. Buyers who need a diagnostic deliverable rather than a dashboard should read the fit ratings carefully, because a high ranking does not mean the entity sells the deliverable the buyer wants.

Second, citation analysis is the most consistently claimed capability and the least consistently verified. Every qualifying entity claims some form of citation or source tracking. Profound provides citation tracking at the answer-engine, prompt, domain, page, and competitor level with source categorization ^[61]. Semrush exposes cited pages, mentions, citations, and sources associated with AI responses ^[62]. Peec AI distinguishes sources from visible citations and classifies source types ^[63].

Where the AI Platforms Agreed

Questions This Section Answers

• Which AI visibility audit findings did all seven platforms agree on?

Agreement across platforms was narrow but consistent on several points.

Profound belongs at or near the top. Three platforms named Profound, and no platform ranked it below third. Openai rated it strong, anthropic good, deepseek good, google good, and grok strong ^[64]. Even platforms that questioned its audit-service positioning did not dispute its monitoring depth.

Citation-source analysis is a core buyer requirement. Every platform that assessed fit treated citation-origin analysis as central to the use case, and every qualifying entity claims some version of it. No platform argued that citation analysis is optional for this buyer.

AI visibility measurement is inherently unstable. Anthropic reported that AI search and LLM responses are fast-changing and highly personalized, meaning no platform can provide exact numbers ^[69]. Viali's own materials describe AI search as operating on an inclusion–exclusion dynamic in which brands or sources may appear in one response and disappear entirely in another ^[70]. One independent source cited 40–60% monthly citation drift in AI visibility data ^[71]. This is the strongest cross-platform agreement in the study: no tool should be treated as producing exact, reproducible visibility numbers.

Most evidence is vendor-reported. The evidence audit for this run counted company-owned citations outnumbering independent citations for every qualifying entity. Profound: 14 owned versus 24 independent. Semrush: 30 owned versus 21 independent.

Where the AI Platforms Disagreed

Questions This Section Answers

• Where did the AI platforms disagree about the best AI visibility audit services?
• Which AI visibility audit providers received conflicting fit ratings across platforms?

Disagreement was substantial and is the most important input for buyer diligence.

Fit ratings diverged sharply for the same entity. AthenaHQ received "strong" from google and grok, "good" from openai and perplexity, "mixed" from anthropic, "weak" from deepseek, and "uncertain" from kimi ^[72]. Ahrefs received "strong" from openai, "good" from google and perplexity, "mixed" from anthropic and grok, "weak" from deepseek, and "uncertain" from kimi ^[79]. This is not a minor calibration difference; it reflects genuinely different judgments about what the buyer needs.

Verification failures drove the harshest ratings. Deepseek and kimi rated AthenaHQ weak or uncertain because they could not find its pricing page or product documentation in their search results ^[77]. Kimi rated Peec AI uncertain for the same reason ^[86]. Kimi rated Viali uncertain because no content from its product page was retrievable ^[87]. In each case, the official pages were retrieved during this run and contained the missing information. Buyers should read "uncertain" ratings as evidence of retrieval failure, not as evidence that the product does not exist. .

How Buyers Should Choose

Questions This Section Answers

• How should a marketing team choose between Profound, Semrush, Ahrefs, and Peec AI for AI visibility audits?
• What should a buyer check before choosing an AI visibility audit service?

Start with the deliverable, not the ranking. This index ranks entities by how often AI platforms named them, not by how well they match a specific procurement need. A buyer who needs a fixed-scope diagnostic report with a prioritized roadmap is shopping for a different product than a buyer who needs a recurring monitoring dashboard, even though both appear in this ranking.

If the buyer needs recurring multi-engine monitoring with citation-share depth: Profound is the consensus leader and the only entity named by three platforms. Verify Enterprise pricing, engine-by-engine coverage, refresh cadence, and whether the buyer needs technical citation architecture analysis beyond observed citations ^[88].

If the buyer already runs an SEO program: Semrush integrates AI visibility with conventional SEO, traffic, and reporting workflows, and Ahrefs connects AI visibility with search demand and web visibility modules ^[89]. Both require accepting that AI visibility is an add-on to a broader suite. Ahrefs carries a documented accuracy risk on ChatGPT and Perplexity that buyers should test against their own prompt set before committing ^[91].

If the buyer needs source-level and citation-gap analysis: Peec AI distinguishes sources from visible citations and identifies sources that cite competitors but not the buyer ^[92].

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 visibility audit services the platform would recommend for a marketing team seeking an independent assessment of its current AI visibility before investing in a larger GEO or AEO program, and why.

The research date is 2026-09-18. Platform-reported research dates are provenance metadata and do not independently prove freshness. Deepseek reported a different research date than the authoritative run date, and other platforms reported dates that differ from the run date in some entity bundles. These discrepancies are disclosed as a methodology limitation.

The ranking rule is: platform mentions first, then average listed rank, then best listed rank. Platform mentions count only ranking-discovery mentions. All 7 platforms evaluated fit, but a platform that assessed an entity's fit without naming it during ranking discovery does not add to that entity's mention count.

Eligibility required an entity to be named by at least two platforms. Of 47 unique entities named across the study, 9 qualified.

Citations are platform-reported evidence, not independently verified facts. The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Company-owned citations materially outnumber independent citations for every qualifying entity, and company claims are not described as independently verified anywhere in this report.

Methodology Limitations

This study has several limitations that buyers should weigh.

Single prompt, single run. One standardized prompt was sent 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 different day could produce a different ranking.

Platform-reported research dates differ from the run date. The authoritative run date is 2026-09-18. Deepseek reported 2026-01-08 for Profound, 2026-06-14 for Semrush, 2026-01-15 for ViAudit, 2026-01-15 for optiseo, 2026-01-15 for LLMAudit, 2026-06-12 for Peec AI, and 2026-02-14 for Viali Visibility Tracker. These dates are provenance metadata and do not independently prove freshness.

Retrieval failures affected some platform assessments. Official-site retrieval failed for ViAudit, Ahrefs, Peec AI, and optiseo during parts of the research. Where a platform could not retrieve a vendor's official pages, its fit rating reflects that failure rather than a verified absence of capability. This is most visible in the "uncertain" and "weak" ratings for AthenaHQ, Peec AI, and Viali, whose official pages were retrieved during this run and contained the information those platforms reported as missing.

Company-owned sources dominate. For every qualifying entity, company-owned citations outnumber independent citations. Profound: 14 owned, 24 independent. Semrush: 30 owned, 21 independent. ViAudit: 14 owned, 10 independent. AthenaHQ: 13 owned, 24 independent. Ahrefs: 29 owned, 20 independent. optiseo: 16 owned, 7 independent. LLMAudit: 20 owned, 7 independent. Peec AI: 23 owned, 19 independent. Viali: 17 owned, 4 independent. Capability claims should be treated as vendor-reported unless an independent source is cited alongside them. .

Final Verdict

Profound is the consensus leader for AI Visibility Audit Services in this 7-platform study, named by 3 of 7 platforms at an average listed position of 2.0. It is the strongest fit for marketing teams that need recurring, multi-engine monitoring with prompt-level competitive analysis, citation-share comparison, and prioritization workflows. Its main diligence points are custom Enterprise pricing, engine-by-engine coverage and methodology, the distinction between observed citation analysis and technical site architecture auditing, and unresolved public inconsistencies about refresh cadence and dataset scale.

Semrush is the strongest alternative for teams already invested in an SEO stack, with AI visibility integrated into conventional SEO, traffic, and reporting workflows. ViAudit has the best average listed position in the study but only two mentions and unverified pricing. AthenaHQ is the most action-oriented option but carries credit-metering cost risk and Enterprise-gated citation features. Ahrefs is the best fit for existing Ahrefs customers but carries a documented 97% undercounting risk on ChatGPT and Perplexity. Peec AI is the strongest option for source-level and citation-gap analysis. LLMAudit is the lowest-cost entry point with the narrowest engine coverage. Viali Visibility Tracker is the only qualifying option that retains verbatim answer text and reads Google AI Overviews from live results. optiseo should not be shortlisted for a current purchase because its dashboard is an unlaunched concept.

No entity in this index should be selected on ranking alone. Buyers should verify pricing, engine coverage, citation methodology, contract terms, and data retention directly with each vendor before committing.