Best AI Search Audit Services for CMOs

Answer Capsule

Profound is the consensus leader for CMO-grade AI search audits and market intelligence in this 7-platform study, named by 4 of 7 platforms (57.1%) with an average listed position of 4.5 and a best position of 1. Semrush (3 mentions, 42.9%, average 3.0) is the strongest alternative for organizations already running SEO and competitive-intelligence workflows, while Veza Digital (3 mentions, 42.9%, average 3.33) is the leading fixed-price, human-delivered diagnostic for CMOs who need a board-ready baseline before funding a program. Peec AI, Scrunch AI, O8, and Ahrefs round out the qualifying set. The principal limitation: this index reflects one standardized prompt sent once to each of seven AI platforms on 2026-09-18, and platform answers vary by date, wording, location, account state, model, interface, browsing configuration, and retrieved sources. Platform recommendations are market intelligence, not independent customer reviews or proof of quality.

Research Snapshot

• Topic: AI search audits and market intelligence for CMOs and senior marketing leaders.
• Target buyer: CMOs and senior marketing leaders needing board-ready AI search visibility and competitive intelligence.
• Use case: AI Search Audit Services for CMOs, United States, 2026.
• Platforms included (7): openai, anthropic, deepseek, grok, perplexity, kimi, google.
• Research date: 2026-09-18 (authoritative run date). Platform-reported dates are provenance metadata and do not independently prove freshness; deepseek reported 2026-02-14 for Profound and Veza Digital, 2026-01-15 for Semrush, Peec AI, and Ahrefs, and 2026-06-01 for O8.
• Unique entities named across platforms: 50.
• Qualifying entities: 7.
• Eligibility rule: named by at least two platforms during ranking discovery.
• Ranking rule: platform mentions, then average listed rank, then best listed rank.
• Method: one standardized prompt sent once to each included platform. All seven platforms evaluated fit, but platform mentions count only platforms that named the entity during ranking discovery.

The Consensus Ranking

Questions This Section Answers

• What are the best AI search audit services for CMOs in 2026?
• Which AI search audit provider has the most cross-platform consensus among AI assistants?

Profound leads on breadth of mentions, not on average position: Semrush's average listed position of 3.0 is better than Profound's 4.5, but Profound was named by four platforms versus three. Peec AI qualifies on mentions but sits far lower on average position (9.0), which is why it ranks fourth despite matching Semrush and Veza Digital on mention count.

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

Questions This Section Answers

• Which AI search audit provider should a CMO choose for board-ready executive reporting versus continuous monitoring?
• Is a software platform or a human-delivered audit better for a CMO who needs a one-time baseline before funding an AI search program?
• Which AI search audit service is best for a CMO whose team already runs Semrush or Ahrefs?

1. Profound

Questions This Section Answers

• Is Profound worth it for CMO-level AI search audits, and what are its main drawbacks?
• Which AI search audit platform should a CMO choose if session-to-revenue attribution matters?

Profound is the consensus leader in this study and the most frequently named provider, but the platforms disagree sharply about how well it fits a board-ready audit as opposed to an ongoing intelligence platform. OpenAI rated it a good fit for board-ready visibility, competitor benchmarking, citation intelligence, and source-domain analysis, provided the buyer has enterprise budget and dedicated staff ^[1]. Anthropic rated it good and called it purpose-built for AI visibility, while flagging the absence of session-level attribution to traffic or revenue ^[2]. Google rated it strong and described it as a premier enterprise-grade AI search audit and AEO platform ^[3]. Deepseek rated the fit mixed, noting that vendor-published material confirms category positioning rather than the exact audit deliverables a CMO needs ^[4]. Perplexity also rated it mixed, citing unpublished enterprise pricing and partial source conflicts ^[5]. Kimi rated it uncertain because the official domain could not be verified in its research pass ^[6].

Why it ranked here. Profound was named by four platforms (openai, anthropic, deepseek, grok, kimi, google appear in its evidence set, but ranking-discovery mentions total four), with an average listed position of 4.5 and a best position of 1. Its rank is driven by mention breadth rather than consistently high placement: grok listed it 7th and kimi 9th, which pulls the average down.

Best suited for. Large U.S. brands needing recurring AI-search monitoring across multiple answer engines; CMOs requiring competitive visibility, citation-share analysis, influential-domain discovery, and exportable evidence for executive reporting; marketing organizations with dedicated SEO, content, PR, analytics, or AEO resources ^[1].

Main strengths for this use case. Answer Engine Insights tracks brand citations, sentiment, and position across 10+ major AI platforms, with a Share of Voice metric and a Citation Share chart showing day-over-day trends by topic ^[7]. The platform identifies which sources are cited in AI responses and supports competitive benchmarking against rivals in tracked prompts ^[9]. Prompt Volumes is described as a proprietary dataset of real user conversations used to estimate AI search demand ^[10]. Enterprise features include SOC 2 Type II compliance, SAML/OIDC SSO, role-based access control, and automated backups ^[11]. Agent Analytics reveals AI crawler behavior and which content assets perform best ^[12].

Main limitations. No session-level or user-level attribution: Profound cannot show how many visitors came from ChatGPT, which pages they visited, or whether they converted, which limits revenue justification ^[2]. Content execution is secondary; Agents are less mature than monitoring features and most teams still need third-party CMS or content tools ^[13]. Prompt limits vary by tier (50/month Starter, 100/month Growth, custom Enterprise) ^[14]. Citation volatility of 40–60% month-over-month makes single-month snapshots unreliable ^[15]. The Profound Index methodology is described as opaque, limiting reproducibility for board reporting ^[16]. Independent users report data overload, limited reporting workflows, and reliance on Excel exports ^[17].

Pricing or cost summary. Public pricing shows Starter at $99/month (ChatGPT-only visibility tracking) and Growth at $399/month (broader coverage including ChatGPT, Perplexity, and Google AI Overviews), with Enterprise as contact-us/custom pricing ^[1].

2. Semrush

Questions This Section Answers

• Is Semrush or Profound better for a CMO who needs AI search audits integrated with existing SEO workflows?
• Which AI search audit platform should a CMO choose if transparent published pricing matters?

Semrush ranks second on the strength of the best average listed position in the qualifying set (3.0) and a best position of 1. It is the strongest option for organizations that already run Semrush and want AI-search measurement added to an existing SEO and competitive-intelligence workflow. Anthropic rated it strong, citing unified AI visibility tracking across ChatGPT, Google AI Overviews, Gemini, and Perplexity, competitor benchmarking with citation and mention analysis, share-of-voice metrics, and ready-to-share executive reports ^[18]. Google also rated it strong, noting board-ready sentiment and narrative tracking backed by one of the largest prompt databases in the industry ^[20]. OpenAI, deepseek, grok, and perplexity rated it good; kimi rated it mixed, arguing it is primarily an SEO/SEM platform with expanding AI visibility capabilities rather than a purpose-built AI search audit service ^[21].

Why it ranked here. Three platforms named Semrush during ranking discovery, with an average listed position of 3.0 — the best average in the set — and a best position of 1. It ranks below Profound only because Profound received one more mention.

Best suited for. Marketing organizations already using Semrush that want AI-search measurement added to an existing SEO and competitive-intelligence workflow; CMOs needing recurring benchmarks across ChatGPT, Gemini, Google AI experiences, and related AI-search surfaces; teams that want competitor, prompt, mention, citation, sentiment, and topic-gap analysis in one platform ^[22].

Main strengths for this use case. The AI Visibility Toolkit measures brand mentions and cited pages, and Competitor Research compares mentions, citations, and topic coverage against competitors ^[23]. Enterprise tier enables comparison with up to 20 competitors across SEO and AI search strategies ^[19]. Semrush states its prompt database contains more than 317 million prompts and responses across 117 regional databases with daily rolling updates ^[25]. Anthropic-reported figures cite a proprietary dataset of 289M+ AI prompts, 28B+ keywords, and 43T+ backlinks ^[26]. Site Audit includes an AI Search Health score checking AI crawler accessibility ^[27]. Enterprise includes executive-ready reporting dashboards, scheduled reports, customizable metrics, SSO, and team governance ^[28].

Main limitations. Semrush characterizes its AI-visibility metrics as directional signals because AI responses are changing and personalized, so the data suits trend and competitive analysis but should not be treated as an exact measure of audience, recommendations, or revenue impact ^[25]. The reviewed public materials do not clearly document a dedicated ranking of influential source domains or a board-ready source-domain influence model ^[23]. A bespoke CMO-level roadmap, prioritization workshop, or implementation service is not clearly included in the publicly described base product ^[29]. Kimi reported no evidence of a dedicated executive summary, board-ready one-pager, or analyst walkthrough in Semrush AI Visibility materials ^[21]. Anthropic reported that mid-market costs can reach $9,900–$15,800 annually once user seats and add-ons are included ^[30]. .

3. Veza Digital

Questions This Section Answers

• Is Veza Digital worth it for a CMO who needs a fixed-price AI search audit with a board-ready report?
• Which AI search audit provider should a CMO choose if they need a 90-day prioritized roadmap rather than a monitoring subscription?

Veza Digital is the highest-placed human-delivered, fixed-price diagnostic in this index. It ranks third with three mentions, an average listed position of 3.33, and a best position of 2. Anthropic rated it good and described the AI Search Visibility Audit as purpose-built for executive decision-making, with 30-day continuous tracking across six AI platforms, competitor benchmarking against three rivals, and a 90-day prioritized action plan ^[31]. Google rated it strong, calling it an outstanding, highly structured choice for board-ready intelligence ^[32]. OpenAI, grok, and perplexity rated it good. Deepseek and kimi rated it uncertain: deepseek could not confirm CMO-grade deliverables, fixed pricing, or contract terms from independent sources ^[33], and kimi could not locate the named product variants in any independent source ^[34].

Why it ranked here. Three platforms named it, with an average listed position of 3.33 and a best position of 2. It ranks below Semrush because its average position is slightly worse (3.33 versus 3.0) at the same mention count.

Best suited for. CMOs who need an executive-ready baseline before funding an AI search program; B2B companies seeking competitor benchmarking and a prioritized 90-day roadmap; marketing teams wanting manual analysis across six major AI search surfaces rather than an automated score only ^[35].

Main strengths for this use case. The audit tests buyer-relevant prompts across ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, and Copilot, measuring brand recommendations, citations, competitive positioning, and citation stability during 30 days of tracking ^[35]. Deliverables include a branded 30-page PDF with an executive summary intended for a CMO presentation, a technical appendix, raw tracking data, and a 60-minute strategy call ^[36]. The 90-day action plan categorizes items as quick wins, structural fixes, content work, and off-site strategy, with expected impact and effort estimates ^[36]. The report and action plan are owned outright by the client regardless of whether Veza Digital is hired for implementation, and the $4,500 audit fee is credited in full toward the first month of a WAIO engagement if signed within 60 days ^[37]. Google reported that review platform profiles such as G2 and Capterra act as citation multipliers, earning brands 4.6 to 6.3x more AI citations ^[38].

Main limitations. The total timeline is approximately six weeks from kickoff, and Veza states the 30-day tracking period cannot be compressed without losing pattern data ^[39]. The audit covers three competitors only; enterprises benchmarking against five or more rivals need custom analysis outside scope ^[31]. Implementation support after the audit is deepest for Webflow; non-Webflow clients must execute recommendations independently or hire another agency ^[40]. Depth of source-domain authority and influencer analysis is not detailed in public materials ^[31]. There is no continuous monitoring after the initial 30-day window; ongoing tracking requires a separate WAIO engagement reported at $8,000/month ^[37]. Public methodology details are thin for an audit that may need board-level defensibility, and no independently verified customer outcomes were found ^[41]. .

4. Peec AI

Questions This Section Answers

• Is Peec AI worth it for a CMO who needs a low-cost recurring AI visibility scorecard, and what are its main drawbacks?
• Which AI search audit platform should a CMO choose if they need source-type classification and a prioritized action list rather than a managed audit?

Peec AI ranks fourth on three mentions but the weakest average listed position in the qualifying set (9.0) and a best position of 8. It is a monitoring and prioritization platform rather than a managed audit service. OpenAI rated it good for measurable AI-search visibility, competitor benchmarking, cited-source analysis, and a prioritized optimization backlog, while noting the buyer must interpret the data, create content, and execute off-page actions ^[42]. Anthropic rated it good but flagged that it is monitoring-only with no content optimization, execution tools, or multi-model tracking included in base plans ^[43]. Google rated it good and described it as a clean, intuitive, budget-friendly dashboard that is a reporting and monitoring tool rather than an end-to-end audit service ^[44]. Grok rated it strong. Deepseek and perplexity rated it good. Kimi rated it uncertain because official-site retrieval failed and no corroborating sources were found ^[45].

Why it ranked here. Three platforms named it, matching Semrush and Veza Digital on mention count, but its average listed position of 9.0 is far worse than either, which places it fourth.

Best suited for. Marketing teams building a recurring AI-search visibility scorecard; CMOs comparing brand visibility, position, sentiment, share of voice, mentions, and citations against competitors; teams needing source-domain, URL, content-gap, and competitive-gap analysis ^[42].

Main strengths for this use case. Peec AI reports visibility, mention frequency, position, sentiment, share of voice, sources, and citations across tracked AI engines, and its documentation distinguishes sources accessed by models from URLs explicitly cited in visible answers ^[42]. The Actions module converts visibility data into prioritized recommendations using opportunity scores based on model influence and competitive gaps, separating on-page from off-page actions ^[46]. Actions clusters citation sources into owned, editorial, reference, and UGC categories and scores each 1–3 ^[47]. The platform identifies highly cited sources and domains, groups sources into content-type clusters, and highlights sources where competitors appear but the buyer does not ^[42]. Google reported that Peec AI launched Brand Perception views in September 2026 to analyze what attributes models associate with a brand, competitor comparisons, recurring objections, and where AI claims conflict with company-supplied facts ^[48].

Main limitations. It is primarily a software platform, not a fully managed CMO audit or consulting engagement ^[42]. Starter's 50-prompt and 3-model allowance may be narrow for large portfolios or multiple business units ^[49]. The platform does not execute content, PR, community, or authority-building work ^[50]. Data collection uses dual methodology — UI scraping for core engines and API querying for Enterprise models — with undocumented comparability between the two ^[51]. Sentiment methodology is not disclosed and is not validated against independent benchmarks ^[52]. API access and SSO are restricted to Enterprise tier ^[53]. Google reported that Peec AI does not trace traffic and conversions directly to revenue, nor does it perform technical AEO audits such as robots.txt checking ^[44]. .

5. Scrunch AI

Questions This Section Answers

• Is Scrunch AI worth it for a CMO who needs AI crawler analytics and GA4-based AI referral measurement?
• Which AI search audit platform should a CMO choose if they need board-ready PDF exports and competitive share-of-voice tracking?

Scrunch AI ranks fifth with two mentions, an average listed position of 4.5, and a best position of 2. It combines answer monitoring with site diagnostics, AI crawler analytics, and GA4-based referral measurement. OpenAI rated it good for measurable AI-search visibility, competitor benchmarking, citation-source analysis, site-level diagnostics, and recurring monitoring, while noting that executive reporting, strategy calls, dedicated support, and broader model coverage are positioned in Enterprise rather than the $250/month Core plan ^[54]. Anthropic rated it good but flagged reporting limitations, restricted multi-engine coverage on Core, incomplete Insights recommendations, and lack of integrated content execution ^[55]. Google rated it good and highlighted instant PDF exports for board presentations ^[56]. Grok rated it strong. Deepseek and perplexity rated it good. Kimi rated it uncertain, arguing the company's documented heritage is influencer marketing and audience intelligence rather than a dedicated AI search audit service ^[57].

Why it ranked here. Two platforms named it, with an average listed position of 4.5 and a best position of 2. It ranks below Peec AI because Peec AI received one more mention.

Best suited for. Marketing teams that need recurring measurement of brand mentions, citations, position, sentiment, and competitive share of voice across AI platforms; CMOs seeking source-domain analysis, competitor visibility gaps, content recommendations, and prioritized technical or content improvements; organizations that want to connect AI visibility with AI bot traffic and GA4-based AI referrals ^[58].

Main strengths for this use case. Scrunch measures brand presence, competitive presence, response position, sentiment, citations, prompt-level results, and changes over time, with filtering by topic, persona, funnel stage, AI platform, and branded versus non-branded prompts ^[58]. It identifies competitor and third-party pages cited in AI answers and calculates an Influence Score based on citation frequency and unique prompts ^[60]. Agent Traffic distinguishes training, indexing, and retrieval bots and reports model, page, and request activity ^[61]. AI Referrals connects through GA4 to report AI-referred sessions, landing pages, conversions, and revenue when configured in GA4 ^[62]. Google reported that any visualization on the dashboard can be saved as a PDF for executive sharing ^[56]. Signals surfaces meaningful changes and recommends actions ^[63].

Main limitations. Core model coverage and prompt, competitor, country, language, and audit limits may be insufficient for large U.S. enterprises ^[54]. Board reporting, dedicated account support, strategy calls, complete site audits, advanced APIs, and SAML/OIDC are Enterprise-oriented features ^[54]. Public evidence supports platform-generated recommendations but not a guaranteed human-led audit, consulting roadmap, or implementation service ^[64]. AI response data is collected through platform-specific sampling methods and refresh schedules, so results may vary by prompt design, geography, model version, and collection method ^[65]. Multiple independent reviewers flagged the lack of native reporting and reliance on manual Excel exports ^[55]. Each AI engine tracked counts separately toward prompt limits, so tracking one prompt across four engines consumes four credits ^[66]. Google reported that Claude, Gemini, Meta AI, Google AI Mode, and Grok are gated behind the custom Enterprise tier ^[67]. .

6. O8

Questions This Section Answers

• Is O8 worth it for a CMO who needs a fast, fixed-fee AI search audit with a ranked action register?
• Which AI search audit provider should a CMO choose if they need revenue-tied measurement connected to CRM pipeline?

O8 ranks sixth with two mentions, an average listed position of 5.0, and a best position of 2. It is an agency-delivered, fixed-fee diagnostic rather than a monitoring platform. OpenAI rated it good for an evidence-based AI-search diagnosis, competitor and source analysis, and a prioritized action plan, while noting the publicly documented offer is stronger for strategic audit and roadmap work than for independently validated, board-grade measurement ^[68]. Anthropic rated it good and highlighted revenue-tied measurement connecting organic sessions and answer-engine referrals to CRM records ^[69]. Google rated it strong, describing a polished 14–16 slide presentation delivered within 24 hours for a flat $1,500 fee ^[70]. Grok rated it strong. Deepseek, perplexity, and kimi rated it uncertain or mixed, citing limited public documentation of CMO-grade deliverables, pricing, and methodology ^[71].

Why it ranked here. Two platforms named it, with an average listed position of 5.0 and a best position of 2. It ranks below Scrunch AI because its average position is worse (5.0 versus 4.5) at the same mention count.

Best suited for. CMOs needing a fixed-fee diagnostic before committing to implementation; marketing teams that want buyer-question testing, competitor citation comparisons, source-domain analysis, prioritized actions, owners, and a recheck; organizations willing to combine AI-search findings with broader SEO, content, schema, and digital-PR execution ^[68].

Main strengths for this use case. The AI Search Opportunity Plan tests approved buyer questions across selected AI engines, identifies where the brand is omitted or misrepresented, and produces a ranked action register with owners and sequencing ^[68]. O8 states it retains each answer, returned source, date, method, and confidence label, and its broader audit offer includes an AI-engine citation map ^[68]. The documented deliverable includes a ranked action register, owners, a working session, and a 30-day recheck; the broader audit package advertises a 90-day roadmap and quick wins ^[68]. O8 connects organic sessions and answer-engine referrals to CRM records so marketing and sales view the same visibility-to-pipeline data ^[69]. Google reported that the audit scans target keywords across ChatGPT, Perplexity, Gemini, and Google AI Overviews to provide an API-verified rating such as Named, URL Cited, Present, or Not Cited for each term ^[70].

Main limitations. Public methodology does not fully disclose query-panel size, sampling frequency, engine access method, personalization controls, or statistical confidence calculations ^[68]. Public evidence is predominantly O8-owned marketing material; independent validation of accuracy, board reporting quality, or customer outcomes was not established ^[68]. Audit and roadmap fees generally exclude implementation, content, technical work, paid media, and digital PR ^[68]. O8 explicitly states that AI answers vary by engine, model, location, personalization, and date, and that the plan does not claim universal or permanent visibility or guarantee citations ^[68]. Anthropic reported that O8 materials do not explicitly reference executive summaries, board-ready dashboards, or one-page visibility scorecards ^[74]. Anthropic also reported no SOC 2 or enterprise compliance messaging in O8 materials ^[75].

Pricing or cost summary. Public pricing is inconsistent across O8's related AI-search offers.

7. Ahrefs

Questions This Section Answers

• Is Ahrefs Brand Radar worth it for a CMO who needs AI visibility benchmarking inside an existing SEO platform?
• Which AI search audit platform should a CMO choose if they need a large search-backed prompt database and cited-domain analysis?

Ahrefs ranks seventh with two mentions, an average listed position of 5.5, and a best position of 3. It is a measurement and discovery product rather than a managed audit service. OpenAI rated it good for board-ready measurement of AI mentions, citations, share of voice, competitor visibility, cited domains, and prompt-level monitoring, while noting the buyer must interpret findings and create or execute the improvement roadmap ^[76]. Anthropic rated it mixed, citing documented accuracy gaps, stacked pricing, and a keyword-first rather than prompt-first methodology ^[77]. Google rated it good for CMOs already using Ahrefs, noting immediate zero-setup benchmarking across a database of 400M+ search-backed prompts ^[79]. Deepseek, grok, and perplexity rated it good. Kimi rated it mixed, arguing it lacks multi-engine prompt-based citation capture with screenshot evidence, composite visibility scorecards, and consultant-delivered strategic synthesis ^[80].

Why it ranked here. Two platforms named it, with an average listed position of 5.5 and a best position of 3. It ranks last because its average position is the worst among the two-mention entities.

Best suited for. CMOs benchmarking brand and competitor visibility across major AI search surfaces; marketing teams measuring AI mentions, citations, estimated impressions, and AI share of voice; organizations that need both broad market discovery through the AI Visibility Index and focused monitoring of priority buyer questions through Custom Prompts; teams already using Ahrefs Site Explorer, Content Explorer, Site Audit, or reporting and API capabilities ^[76].

Main strengths for this use case. Brand Radar measures how often brands appear in AI answers and calculates AI Share of Voice and estimated impressions, with Custom Prompts allowing CMOs to monitor exact commercial or category questions across supported AI assistants ^[76]. The product reports brand mentions in answer text, citations to pages or domains, cited pages, cited domains, and related visibility metrics ^[76]. Ahrefs states that Brand Radar can benchmark AI Share of Voice against competitors and manually configure brands and competitors for comparison ^[76]. The AI Visibility Index covers six indexed surfaces: Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini, and Copilot, with indexed prompt data refreshed monthly; Custom Prompts can be checked monthly, weekly, or daily and additionally support Claude ^[76]. Ahrefs documents Brand Radar API access, including AI-response endpoints ^[81]. Anthropic reported that AI citation data appears inside Site Explorer alongside traditional SEO metrics ^[82].

Main limitations. The indexed dataset is modeled from Ahrefs keyword data and search-backed prompts rather than a complete census of all real AI conversations, and the index may have limited coverage for brands with little or no search volume ^[76]. Grok data collection is temporarily unavailable for new data ^[76]. The reviewed product evidence does not verify a fully managed, CMO-specific prioritization roadmap, executive advisory service, or implementation program ^[76]. Anthropic reported independent tests documenting significant accuracy gaps: one test reported Brand Radar showing 3 ChatGPT mentions globally versus 123 actual mentions, a 97.5% discrepancy, and another found 0 U.S. mentions versus real data ^[77].

What the Cross-Platform Study Reveals About This Market

Questions This Section Answers

• What does the cross-platform AI consensus reveal about which AI search audit providers CMOs should shortlist?
• Which AI search audit providers are named most often across ChatGPT, Claude, Gemini, Grok, Perplexity, Kimi, and DeepSeek?

The market splits into three distinct provider types, and the platforms consistently reward different ones depending on the buyer's operating model.

Enterprise intelligence platforms. Profound, Semrush, Peec AI, Scrunch AI, and Ahrefs are software products that measure AI visibility, citations, and competitive share of voice. They differ mainly in engine coverage, prompt volume, source-domain depth, and reporting maturity. Profound and Semrush lead on enterprise governance and board reporting; Peec AI and Scrunch AI lead on price-to-capability ratio; Ahrefs leads on prompt-database scale and SEO integration.

Human-delivered diagnostics. Veza Digital and O8 are fixed-fee, analyst-produced audits with executive deliverables and prioritized roadmaps. They are the only qualifying entities that produce a board-ready narrative as a standard output rather than as an Enterprise-tier add-on.

Hybrid models. O8 and Veza Digital both combine audit and implementation, with audit fees credited toward follow-on engagements. Profound and Scrunch AI both offer content-adjacent workflows (Agents, AXP) that stop short of full execution.

A recurring theme across the evidence is that no qualifying entity closes the loop from AI visibility to revenue attribution. Profound cannot show which sessions landed on the site or converted ^[84]. Semrush characterizes its metrics as directional ^[85]. Peec AI does not trace traffic and conversions directly to revenue ^[86]. Ahrefs states its impressions and share-of-voice calculations are modeled ^[87].

Where the AI Platforms Agreed

Questions This Section Answers

• Which AI search audit capabilities do all seven platforms agree CMOs need?

Four points of agreement held across the platforms that named each entity.

Citation and source-domain analysis is a core requirement. OpenAI, anthropic, google, grok, and perplexity all describe Profound's citation and source-domain capabilities as an advantage ^[88]. OpenAI, anthropic, google, grok, and perplexity describe Semrush's mention and citation measurement as an advantage ^[91]. OpenAI, anthropic, google, grok, and perplexity describe Peec AI's source and citation analysis as an advantage ^[93]. OpenAI, anthropic, google, grok, and perplexity describe Scrunch AI's citation intelligence as an advantage ^[95].

Competitor benchmarking is table stakes. Every qualifying entity's evidence includes competitor benchmarking as a documented capability, and no platform treated it as optional.

Board-ready reporting is the primary differentiator. Platforms repeatedly distinguished between raw data and executive-ready output. Google highlighted Scrunch AI's PDF export ^[97]. Anthropic highlighted Veza Digital's 30-page report with an executive summary on page 2 ^[98]. Google highlighted O8's 14–16 slide deck ^[99]. OpenAI flagged that Profound's board reporting is qualified by independent user reports of limited reporting and reliance on Excel ^[100].

AI answers are volatile and no provider guarantees outcomes. O8 explicitly states that AI answers vary by engine, model, location, personalization, and date, and that the plan does not claim universal or permanent visibility ^[101]. Anthropic reported citation volatility of 40–60% month-over-month for Profound ^[102]. Ahrefs states its metrics are modeled and comparative ^[103].

Where the AI Platforms Disagreed

Questions This Section Answers

• Where do AI platforms disagree about the best AI search audit provider for CMOs, and what should a buyer verify?

Fit ratings diverged sharply for the same entity. Profound received strong (google, grok), good (openai, anthropic), mixed (deepseek, perplexity), and uncertain (kimi) ratings. Semrush received strong (anthropic, google), good (openai, deepseek, grok, perplexity), and mixed (kimi). Veza Digital received strong (google), good (openai, anthropic, grok, perplexity), and uncertain (deepseek, kimi). Peec AI received strong (grok), good (openai, anthropic, deepseek, google, perplexity), and uncertain (kimi). Scrunch AI received strong (grok), good (openai, anthropic, deepseek, google, perplexity), and uncertain (kimi). O8 received strong (google, grok), good (openai, anthropic), mixed (perplexity), and uncertain (deepseek, kimi). Ahrefs received good (openai, deepseek, google, grok, perplexity) and mixed (anthropic, kimi).

Verification failures drove the uncertain ratings. Kimi could not verify Profound's official domain, Peec AI's identity, Veza Digital's product variants, O8's service documentation, or Scrunch AI's AI search audit positioning. Deepseek could not confirm CMO-grade deliverables or pricing for Profound, Veza Digital, or O8. These are research-pass limitations, not evidence that the products do not exist.

Pricing conflicts are material. Profound's enterprise tier is reported at $2,000–$5,000+/month by some sources and as entirely unpublished by others ^[104]. Semrush's AI Visibility Toolkit is reported at $99/month per domain by most sources, but kimi reported no standalone public pricing and a base Semrush Business plan of roughly $499/month as a prerequisite ^[106]. Peec AI's Starter price is reported as $95/month, $80/month annual, €89/month, and €70–85/month across sources ^[107].

How Buyers Should Choose

Questions This Section Answers

• What should a CMO check before choosing an AI search audit provider for board-ready reporting?
• Which AI search audit provider should a CMO choose if they need a one-time audit versus ongoing monitoring?

Start with the deliverable, not the tool. If the CMO needs a board-ready narrative, a prioritized roadmap, and an executive presentation, the qualifying entities that produce those as standard outputs are Veza Digital and O8. If the CMO needs recurring measurement with trend data, the qualifying entities are Profound, Semrush, Peec AI, Scrunch AI, and Ahrefs.

Match engine coverage to the buyer's audience. Profound and Semrush Enterprise offer the broadest reported engine coverage. Scrunch AI and Ahrefs gate their broadest coverage behind Enterprise or add-on pricing. Peec AI's Starter tier covers three models with additional models as paid add-ons. If the buyer's audience concentrates on ChatGPT and Perplexity, the Core tiers may suffice; if it spans Claude, Gemini, and Grok, Enterprise pricing applies.

Verify the attribution question early. No qualifying entity provides independently validated session-to-revenue attribution. O8's CRM-connected measurement is the closest documented capability, and it is company-reported ^[109]. Buyers who need revenue proof should plan to combine any of these providers with their own analytics instrumentation.

Confirm pricing at the configuration level, not the headline level. Profound's $99/month Starter covers ChatGPT only. Semrush's $99/month covers one domain with 25 prompts. Peec AI's $95/month covers 50 prompts and three models. Ahrefs' $199/month covers one AI platform index and requires a base subscription. Scrunch AI's $250/month covers four engines and five site audits. O8's $1,500 covers a defined scope with a 30-day recheck. Veza Digital's $4,500 covers 30 days of tracking across six platforms. .

Methodology

This index was produced from a single standardized prompt sent once to each of seven AI platforms on 2026-09-18: openai, anthropic, deepseek, grok, perplexity, kimi, and google. The prompt asked which AI search audit providers would be recommended for CMOs, and why.

Ranking rule. Entities were ranked by platform mentions (the number of platforms that named the entity during ranking discovery), then by average listed position, then by best listed position. The final ranking table is the sole authority for rank, platform mentions, platform share, average rank, and best rank.

Eligibility. An entity qualified if it was named by at least two platforms during ranking discovery. Fifty unique entities were named across all platforms; seven qualified.

Evidence. Each qualifying entity was assessed against six criteria: recommendation analysis, mention and citation measurement, competitor benchmarking, influential source-domain analysis, content and authority gaps, and prioritized improvement roadmap. Fit ratings, pricing, strengths, limitations, and disagreements were drawn from the entity evidence bundles.

Citation handling. Citation IDs are entity-namespaced and local to each entity. Citations were consolidated by URL using the supplied source catalog. Company-owned sources are distinguished from independent sources where the catalog provides that information.

Methodology Limitations

• One prompt, one pass. The study used one standardized prompt sent once to each included platform. Different wording, timing, or follow-up questions could produce different recommendations.
• AI answers vary. Platform answers can vary by date, wording, location, account state, model, interface, browsing configuration, and the sources retrieved.
• Platform-reported dates differ from the run date. Deepseek reported 2026-02-14 for Profound and Veza Digital, 2026-01-15 for Semrush, Peec AI, and Ahrefs, and 2026-06-01 for O8. These are provenance metadata and do not independently prove freshness.
• Platform mentions count only ranking-discovery mentions. All seven platforms evaluated fit, but the mention count reflects only platforms that named the entity during ranking discovery.
• Company-owned citations materially outnumber independent citations for several entities. Semrush (29 owned versus 16 independent), Veza Digital (23 owned versus 3 independent), O8 (29 owned versus 7 independent), and Peec AI (7 owned versus 25 independent) show wide variation. Company claims should not be described as independently verified.
• Identity verification failed for several entities. Profound's official domain could not be retrieved and the relationship between profound.ai and tryprofound.com is unverified. Peec AI's official site retrieval failed. Ahrefs' official site retrieval failed. Veza Digital's product variants were not located by one platform. O8's service documentation was not located by two platforms.
• Pricing conflicts were not resolved. Where sources disagreed on price, plan names, engine counts, or deliverables, the conflict is reported rather than resolved.
• Supplied URLs were not independently validated. The URLs in the source catalog were collected from platform responses and were not independently validated by the writer stage.
• Citations are platform-reported evidence, not independently verified facts. No-search model claims require explicit verification before being described as current facts. .

Final Verdict

Profound is the consensus leader for CMO-grade AI search audits and market intelligence in this 7-platform study, named by 4 of 7 platforms. It is the strongest choice for large U.S. brands that need recurring multi-engine visibility, citation-share analysis, source-domain discovery, and enterprise governance, provided the buyer accepts sales-quoted enterprise pricing, validates the domain identity question, and plans for separate strategy execution.

Semrush is the strongest alternative for organizations already running SEO and competitive-intelligence workflows, with the best average listed position in the set and the most mature integration between traditional search and AI visibility. Veza Digital is the leading fixed-price, human-delivered diagnostic for CMOs who need a board-ready baseline before funding a program, with a transparent $4,500 fee and a 90-day roadmap.

Peec AI, Scrunch AI, O8, and Ahrefs each serve distinct buyer needs: Peec AI for low-cost recurring scorecards with source-type classification; Scrunch AI for measurement plus AI crawler and referral intelligence; O8 for fast, fixed-fee audits with a ranked action register and CRM-connected measurement; and Ahrefs for broad market discovery and cited-domain analysis inside an existing SEO platform.

No qualifying entity provides independently validated session-to-revenue attribution, and every entity's most complete AI-search coverage sits behind enterprise or add-on pricing. Buyers should treat this index as a shortlist and validate methodology, engine coverage, reporting format, contract terms, and data rights directly with each vendor.