Best AI Visibility Platforms for CMOs

Answer Capsule

Profound is the consensus leader among AI visibility and LLM monitoring platforms for CMOs, named by 4 of 7 platforms at an average listed position of 1.0 and a best position of 1. Ahrefs and Semrush are the strongest alternatives for marketing organizations already standardized on an SEO suite, while Astiva AI, Pineprompt, and Athena HQ serve buyers who want lower published entry prices or credit-based enterprise deployments. This index studied 7 AI platforms (openai, anthropic, deepseek, grok, perplexity, kimi, google) using one standardized prompt sent once to each. Of 42 unique entities named, 9 qualified by being named by at least two platforms. The principal limitation is that platform mentions count only ranking-discovery mentions, most supporting citations are company-owned rather than independent, and platform-reported research dates differ from the authoritative study date of 2026-09-19.

Research Snapshot

• Topic: AI visibility and LLM monitoring platforms for CMOs and senior marketing leaders needing board-ready AI search visibility and competitive intelligence.
• Target buyer: CMOs and senior marketing leadership in the United States who need to explain how the brand performs across major AI systems, where competitors are winning, which high-intent prompts matter, which companies AI systems recommend, which sources are cited, and how results change over time.
• Platforms included (7): openai, anthropic, deepseek, grok, perplexity, kimi, google.
• Research date: 2026-09-19 (authoritative run date). Platform-reported research dates are provenance metadata and do not independently prove freshness.
• Unique entities named: 42.
• Qualifying entities: 9.
• Eligibility rule: named by at least two platforms during ranking discovery.
• Method: one standardized prompt sent once to each included platform. All included 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 visibility and LLM monitoring platforms for CMOs in 2026?
• Which AI visibility platform is named most often across major AI assistants for board-ready brand visibility work?

The table below is the authority for rank, platform mentions, platform share, average listed position, and best position. It is not recalculated or reordered.

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

Questions This Section Answers

• Which AI visibility platform should a CMO choose if the brand already runs an SEO suite and wants AI visibility added to it?
• Which AI visibility platform has the lowest published entry price for a mid-market CMO testing AI search visibility?
• Is Profound or Athena HQ better for a CMO who needs board-ready executive dashboards across many AI engines?

1. Profound

Questions This Section Answers

• Is Profound worth it for a CMO who needs board-ready AI visibility, and what are its main drawbacks?
• Which AI engines does Profound track on the Enterprise tier, and how many prompts are included on lower tiers?

Profound is the consensus leader in this index: it was named by 4 of 7 platforms, at an average listed position of 1.0 and a best position of 1, and every platform that named it placed it first ^[1]. The evidence bundles describe a platform built around Answer Engine Insights, with daily tracked prompts, Visibility Score, Visibility Rank, Share of Voice, sentiment, citation data, and trend lines, plus citation-share comparisons by platform, topic, and prompt ^[5]. Profound states that it captures results from consumer-facing browser experiences rather than relying only on model APIs, which the platform positions as closer to what users actually see ^[7]. A complete fit review is available at Profound.

Why it ranked here. Profound received the strongest possible ranking signal: four platform mentions, all at position 1. The evidence bundles support that placement with consistent descriptions of multi-engine coverage, prompt-level monitoring, citation analysis, competitor benchmarking, and executive reporting inputs ^[5]. Google's bundle describes a $180M Series D in September 2026 and a Command Center product introduced the same month for senior marketing leaders ^[9]. Anthropic's bundle describes up to 9 answer engines at the Enterprise tier, including ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Grok, DeepSeek, Claude, and Microsoft Copilot ^[2].

Best suited for. Large brands with AI visibility as an executive marketing KPI; marketing organizations needing daily prompt monitoring, share-of-voice, citation-share, sentiment, and competitor analysis; and CMOs who want evidence from consumer-facing answer-engine experiences rather than API-only outputs.

Main strengths for the use case. Daily prompt execution and historical comparisons support recurring executive KPI reporting ^[5]. Citation-level evidence connects visibility changes to owned, competitor, earned-media, and institutional sources ^[1]. Competitive benchmarking includes visibility, share-of-voice, average-position, citation-share, and ranking comparisons with configurable competitor sets ^[11]. Enterprise features described in the bundles include SOC 2 Type II, SSO/SAML, RBAC, API access, and multi-company tracking ^[12].

Main limitations. Enterprise pricing and package contents are not publicly transparent, and the exact Command Center scope is not fully documented in the sources checked ^[14]. Prompt-based visibility metrics are proxies and do not by themselves establish traffic, pipeline, revenue, or causal marketing impact ^[16].

2. Ahrefs

Questions This Section Answers

• Is Ahrefs Brand Radar worth it for a CMO who already pays for Ahrefs SEO, and what does the add-on cost?
• Which AI platforms does Ahrefs Brand Radar cover, and how often is the AI data refreshed?

Ahrefs ranked second with 4 platform mentions at an average listed position of 5.25 and a best position of 4 ^[17]. The relevant product is Brand Radar, an AI visibility layer that can be purchased standalone or alongside an Ahrefs subscription, combining search-backed prompt discovery with competitor share-of-voice, mentions, citations, and estimated impressions ^[21]. A complete fit review is available at Ahrefs.

Why it ranked here. Ahrefs was named by four platforms, but its average listed position (5.25) is the widest spread in the top three, with ranks of 4, 4, 5, and 8 across platforms. The bundles consistently credit Brand Radar with a large search-backed prompt corpus and integration with Ahrefs' SEO data, while flagging refresh cadence and packaging ambiguity as the main reasons it does not rank higher ^[23].

Best suited for. Marketing organizations already using Ahrefs; CMOs needing competitive share-of-voice, mention, citation, impression, and historical trend analysis across major public AI-search surfaces; and teams that want both large-scale discovery from pre-collected prompts and tracking of proprietary buyer questions through Custom Prompts.

Main strengths for the use case. Brand Radar's AI Visibility Index covers Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini, and Microsoft Copilot, with Custom Prompts also supporting Claude ^[17]. The product separates mentions (brand named in a response) from citations (the brand's website linked as a source), enabling filters such as "AI mentions my brand but cites a competitor's site" ^[25]. Citation sources open into backlink analysis showing referring-domain authority and organic traffic ^[26]. Report Builder, API v3 from the Lite tier, and Looker Studio connectivity support recurring reporting ^[27].

Main limitations. Coverage is sampled and constrained by public availability; Ahrefs states the approach cannot access private conversations or internal model data ^[28]. Index results depend on Ahrefs keyword and prompt coverage, which may be weaker for low-search-volume or newly emerging topics ^[17]. Custom Prompt quotas and checks can create material ongoing costs ^[29]. Grok availability is described inconsistently across public Ahrefs materials ^[17]. Public materials do not prove that Brand Radar independently measures board-level business outcomes such as pipeline, revenue, or conversion lift ^[17]. Kimi's bundle rated Ahrefs a weak fit, stating it lacks native multi-AI-engine tracking and prompt-based measurement, while other platforms described broad AI coverage — a direct conflict ^[30]. .

3. Semrush

Questions This Section Answers

• Is Semrush AI Visibility Toolkit worth it for a CMO already using Semrush for SEO, and what does the $99/month add-on include?
• Which AI engines does Semrush track in the base AI Visibility Toolkit, and which require the separate Enterprise AIO product?

Semrush ranked third with 3 platform mentions at an average listed position of 4.33 and a best position of 2 ^[31]. The relevant product is the AI Visibility Toolkit, sold as an add-on or bundled into Semrush One, covering prompt tracking, brand mentions, citations, sentiment, competitor gaps, and trend reporting ^[34]. A complete fit review is available at Semrush.

Why it ranked here. Semrush was named by three platforms, with a best position of 2 from deepseek. Its bundles describe a broad, executive-friendly feature set anchored in an established SEO platform, but also flag modest self-serve prompt limits and undisclosed enterprise economics as reasons it trails Profound and Ahrefs ^[31].

Best suited for. Marketing organizations already using Semrush SEO workflows; CMOs needing board-ready visibility, competitor-gap, citation, sentiment, and trend reporting across major AI search surfaces; and multi-brand or enterprise teams willing to negotiate custom limits, integrations, governance, and support.

Main strengths for the use case. The toolkit reports coverage for ChatGPT, Gemini, Google AI Overviews, Google AI Mode, and Perplexity, with additional platforms possibly added ^[34]. Brand Performance measures mentions, share of voice, sentiment, narratives, and AI-generated strategic opportunities ^[37]. Prompt Tracking can show domains cited in AI responses and citation position in ChatGPT Search ^[38]. Competitor Research compares mentions, citations, topic coverage, and visibility gaps against up to four competitors at a time ^[39]. Brand Performance, Visibility Overview, Competitor Research, and Prompt Tracking integrate with Semrush My Reports for presentation-ready output ^[40].

Main limitations. Base self-serve prompt tracking is limited to 25 custom prompts, which may be insufficient for large portfolios or global programs ^[31]. Different reports use different data sources and update cadences, and Semrush's own documentation says the metrics are directional rather than exact because AI outputs change and can be personalized ^[43]. The public materials do not establish independent validation, audited accuracy, guaranteed coverage, or a fully disclosed methodology for recommendation measurement ^[31]. Anthropic's bundle describes the toolkit as measurement-only, without content recommendations, schema generation, entity optimization, or citation-building workflows ^[44]. Claude, Copilot, and DeepSeek coverage requires the separate Enterprise AIO product at undisclosed pricing ^[46]. .

4. Astiva AI

Questions This Section Answers

• Is Astiva AI worth it for a mid-market CMO who needs GA4 revenue attribution from AI visibility, and what are its main drawbacks?
• How many AI platforms does the Astiva AI Growth plan actually include, and how long is historical data retained?

Astiva AI ranked fourth with 2 platform mentions at an average listed position of 1.5 and a best position of 1 ^[47]. It was named by anthropic and kimi, and its bundles describe a platform positioned around multi-platform AI visibility, competitive intelligence, citation-gap analysis, and GA4 revenue attribution at a published Growth price of $249/month ^[49]. A complete fit review is available at Astiva AI.

Why it ranked here. Astiva AI has the second-best average listed position in the index (1.5) but only two platform mentions, which places it fourth under the ranking rule. Its bundles contain the most direct internal conflicts of any entity in this index, which is why the fit ratings range from "strong" to "uncertain" ^[49].

Best suited for. Growth-stage or mid-market marketing teams wanting AI visibility monitoring plus competitive intelligence and GA4 attribution at a relatively low published price; CMOs needing daily prompt monitoring, competitor comparisons, citation-source analysis, and an initial executive KPI framework; and teams willing to validate data quality, platform coverage, attribution methodology, and reporting workflows during a trial.

Main strengths for the use case. The product page claims tracking across 10 AI platforms, including ChatGPT, Claude, Gemini, Perplexity, Grok, Meta AI, DeepSeek, Mistral, Google AI Mode, and Google AI Overview [e4:official:C1]. Astiva reports Visibility Percentage, Share of Voice, Average Position, Brand Sentiment, First Mention Rate, Mention Frequency, and Sentiment Volatility across 24-hour, 7-day, and 30-day windows ^[49]. The methodology page publishes formulas, reporting windows, query-sampling practices, extraction fields, and aggregation rules ^[51]. GA4 revenue attribution begins at the Growth tier, which the platform positions below typical enterprise-only pricing ^[50].

Main limitations. Official pages conflict on Growth-plan platform coverage: the product page says every paid plan includes all 10 platforms, while the pricing table lists Growth as covering 5 ^[49]. Historical retention also conflicts: the pricing page lists Growth with 90-day history and 12-month retention, while the methodology page states Growth historical data is retained for 180 days ^[50]. Citation URLs are only explicitly documented where the underlying AI platform exposes them, specifically naming Perplexity and Google AI Mode ^[51]. Revenue attribution depends on GA4 configuration and should not be assumed to prove incremental causality ^[50].

5. Pineprompt

Questions This Section Answers

• Is Pineprompt worth it for a CMO who needs daily multi-engine AI visibility tracking, and what are its main drawbacks?
• Which AI platforms does Pineprompt track, and what do the Starter, Professional, and Business tiers include?

Pineprompt ranked fifth with 2 platform mentions at an average listed position of 2.5 and a best position of 2 ^[52]. It was named by anthropic and kimi, and its bundles describe eight first-class AI platforms, daily prompt runs, citation URLs, share-of-voice trends, and CSV/API/MCP/Looker Studio connectivity ^[54]. A complete fit review is available at Pineprompt.

Why it ranked here. Pineprompt has a strong average listed position (2.5) but only two platform mentions. Its bundles are unusually consistent on capability but equally consistent on one structural limitation: the product became generally available on July 6, 2026, and independent market validation is limited ^[57].

Best suited for. CMO teams establishing a recurring AI visibility baseline across major consumer and business AI surfaces; brands needing daily prompt, mention, recommendation, citation, sentiment, share-of-voice, and competitor tracking in U.S. English; and marketing organizations that can assemble executive reporting through the dashboard, CSV, API, MCP, or Looker Studio.

Main strengths for the use case. Pineprompt reports eight first-class AI platforms: ChatGPT, Gemini, Perplexity, Claude, Google AI Overview, Google AI Mode, Grok, and Microsoft Copilot, with monitors scoped by country and language ^[54]. Each prompt run stores cited URLs, source domains, source position, and citation-share metrics ^[54]. Registered competitors are scored on tracked answers, and unmatched brand mentions can become competitor-discovery candidates ^[54]. Public documentation covers CSV export, REST API, MCP, and Looker Studio connectivity ^[55]. The platform acknowledges AI-answer nondeterminism, sentiment mis-scoring, brand-matching false groupings, and platform-update volatility, and recommends multi-day trend interpretation and manual response review ^[58].

Main limitations. No real-time monitoring; refresh is daily ^[59]. No pre-signup historical backfill — data begins when a monitor is created ^[59]. Public evidence does not establish revenue attribution, causal ROI, enterprise-grade governance, or board-ready reporting controls ^[60]. Anthropic's bundle rated the fit uncertain, reporting that public information about pricing, feature availability, platform coverage breadth, and dashboard capabilities is insufficient, and that Pineprompt does not appear in 2026 AI visibility tool rankings from Rank Prompt, Beamtrace, or EchoWi ^[52]. Deepseek similarly rated the fit uncertain, noting the entity does not surface in mainstream AI visibility vendor coverage ^[63]. .

6. Athena HQ

Questions This Section Answers

• Is Athena HQ worth it for an enterprise CMO who needs board-ready AI visibility dashboards, and what are its main drawbacks?
• How does Athena HQ's credit-based pricing work, and how quickly can a typical monitoring workload consume the monthly credit allocation?

Athena HQ ranked sixth with 2 platform mentions at an average listed position of 3.5 and a best position of 2 ^[64]. It was named by anthropic and google, and its bundles describe 11+ model coverage, an Executive AI Visibility Dashboard, citation and recommendation measurement, competitor benchmarking, and Enterprise BI-tool support ^[66]. A complete fit review is available at Athena HQ.

Why it ranked here. Athena HQ has the third-best average listed position (3.5) but only two platform mentions. Its bundles describe a genuinely enterprise-oriented feature set alongside a credit-based cost model that multiple platforms flagged as difficult to forecast ^[68].

Best suited for. CMOs with enterprise or multi-brand portfolios requiring cross-platform AI visibility measurement; marketing organizations needing board-ready reporting, competitive intelligence, citation analysis, and operational recommendations; and teams willing to buy a custom enterprise deployment and verify data coverage, reporting history, and integrations.

Main strengths for the use case. Athena reports support for 11+ AI models, listing ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Copilot, Grok, DeepSeek, Meta AI, and Mistral, with additional models available on request ^[66]. The platform advertises an Executive AI Visibility Dashboard with board-ready reporting and analytics, and Enterprise additionally lists executive-dashboard support for Tableau, Power BI, and Looker ^[66]. Enterprise features include SSO, audit logs, multi-region and multi-language support, persona targeting, custom access controls, and white-glove enablement ^[66]. Anthropic's bundle describes an Ask Athena agentic copilot designed for CMOs building executive briefs, plus hallucination and impersonation detection ^[70].

Main limitations. Enterprise pricing and usage economics are not transparent ^[66]. Historical trend-retention details and metric methodology are not publicly specified, and Anthropic's bundle reports limited historical data compared with traditional SEO tools ^[66]. The public evidence is primarily vendor-owned, and customer outcome percentages are not independently substantiated ^[66]. The supplied product label "Enterprise Olympus Dashboard" could not be matched to that exact name on the reviewed official page, which instead describes an Executive AI Visibility Dashboard ^[66]. Kimi's bundle could not verify the platform at all, reporting zero mentions in its research sources and that the domain content was not available in its corpus ^[73]. Deepseek rated the fit mixed, noting the "Enterprise Olympus Dashboard" name does not appear on the official homepage ^[74]. .

7. Peec AI

Questions This Section Answers

• Is Peec AI worth it for a CMO who needs clean AI visibility dashboards, and what are its main drawbacks?
• How many AI models does Peec AI include on self-serve plans, and what do additional models cost?

Peec AI ranked seventh with 2 platform mentions at an average listed position of 6.0 and a best position of 3 ^[75]. It was named by openai and google, and its bundles describe multi-model visibility, position, sentiment, and share-of-voice tracking, citation and source analysis, competitor benchmarking, and shareable dashboards ^[75]. A complete fit review is available at Peec AI.

Why it ranked here. Peec AI has the widest rank spread in the index, from 3 (openai) to 9 (google), producing an average listed position of 6.0. Its bundles agree on a clean, focused monitoring product and disagree mainly on pricing transparency and model coverage ^[75].

Best suited for. Marketing teams tracking a defined set of strategic prompts across ChatGPT, Google AI Overviews/AI Mode, Gemini, Microsoft Copilot, Naver AI, and potentially additional enterprise models; CMOs needing competitive benchmarking, citation/source analysis, prioritized recommendations, shareable dashboards, and recurring reporting; and agencies or marketing groups managing multiple brands through agency workspaces, shared credit pools, client dashboards, and consolidated billing.

Main strengths for the use case. Peec AI reports visibility, position, sentiment, and share of voice against competitors, with daily prompt execution ^[77]. The platform provides domain and URL source views, citation share, source classification, retrieval/fanout analysis, and gap analysis showing sources that mention competitors but not the tracked brand ^[75]. Unlimited seats are included across all plans, with no per-user fee ^[82]. Reporting options include CSV export on all plans, a Looker Studio connector, API access, and MCP ^[82]. Google's bundle describes a customizable Overview dashboard where users can drag, drop, and pin charts and share interactive, password-protected links or export PDFs ^[84].

Main limitations. Self-serve brand plans are limited to three selected models, which may be insufficient for a CMO requiring broad model coverage ^[75]. Prompt and project limits may constrain statistically robust monitoring across many brands, markets, personas, and product lines ^[75]. Tracking begins at signup with no historical backfill ^[86]. Anthropic's bundle describes Peec AI as monitoring-only, without content creation, technical optimization recommendations, or execution workflows ^[87]. SOC 2 Type II certification is described as in progress but not yet achieved, and SSO is gated behind Enterprise pricing ^[89].

8. OtterlyAI

Questions This Section Answers

• Is OtterlyAI worth it for a mid-market CMO who needs transparent self-serve AI visibility pricing, and what are its main drawbacks?
• How much does full six-engine coverage cost on OtterlyAI once Gemini, Google AI Mode, and Claude add-ons are included?

OtterlyAI ranked eighth with 2 platform mentions at an average listed position of 6.0 and a best position of 4 ^[91]. It was named by openai and google, and its bundles describe multi-engine monitoring, prompt-level measurement, competitor benchmarking, citation analysis, and exportable reporting with transparent self-serve pricing ^[91]. A complete fit review is available at OtterlyAI.

Why it ranked here. OtterlyAI has a best position of 4 but an average listed position of 6.0, reflecting a split between platforms that valued its transparent pricing and citation depth and platforms that questioned enterprise reporting maturity and add-on costs ^[91].

Best suited for. Marketing teams establishing a measurable AI-search visibility baseline; CMOs tracking brand mentions, sentiment, share of voice, competitors, and cited URLs across several major AI engines; and organizations that want daily prompt monitoring, historical trends, PDF/CSV reporting, API access, and optional MCP or data-warehouse connectivity.

Main strengths for the use case. OtterlyAI states that it monitors ChatGPT, Google AI Overviews, Perplexity, Microsoft Copilot, Google AI Mode, Gemini, and Claude, with the first four included in listed plans ^[91]. The platform tracks cited URLs, domain citations, citation frequency, competitor citations, citation trends, and whether a cited URL mentions the tracked brand ^[95]. Competitor counts are stated as not limited ^[96]. Google's bundle describes a GEO audit engine providing prioritized recommendations based on 25+ factors such as schema markup, crawl accessibility, and page structure ^[97]. Unlimited team members are included on all plans ^[98].

Main limitations. Three engines are paid add-ons, so the relevant multi-engine cost may materially exceed the headline plan price ^[93]. Enterprise pricing and limits are not public ^[99]. Monitoring is described as daily rather than real-time, and Anthropic's bundle reports hours-to-days update lag after prompt edits or model changes ^[91]. Public evidence is primarily company-owned, with limited independent validation of measurement accuracy and board-level reporting quality ^[91]. AI answers vary by user, location, session, and account settings, so results are a baseline rather than a guaranteed representation of every user's experience ^[101]. Kimi's bundle rated the fit uncertain, reporting that all available data came from competitor comparison tables describing "Mixed" data collection methods and "Partial" citation tracking ^[102]. .

9. Conductor

Questions This Section Answers

• Is Conductor worth it for an enterprise CMO who wants AI visibility and traditional SEO in one platform, and what are its main drawbacks?
• What does Conductor cost annually, and does it offer a self-serve trial or published pricing?

Conductor ranked ninth with 2 platform mentions at an average listed position of 6.5 and a best position of 6 ^[103]. It was named by openai and deepseek, and its bundles describe an enterprise platform combining AI Search Performance with traditional SEO, content workflows, website monitoring, and analytics integrations ^[105]. A complete fit review is available at Conductor.

Why it ranked here. Conductor has the lowest average listed position in the index (6.5) and the lowest best position (6). Its bundles describe a mature enterprise SEO platform with a newer AI visibility module, and the disagreement across platforms is mainly about how deep that AI module goes relative to dedicated AI visibility specialists ^[107].

Best suited for. Large or complex organizations that want AI visibility and traditional SEO in one enterprise platform; marketing leaders needing prompt-, topic-, competitor-, citation-, and mention-level reporting; and teams that want to connect AI visibility metrics with content workflows, website monitoring, and analytics data.

Main strengths for the use case. Conductor states that its AI Search Performance capability covers ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, and other major AI engines ^[108]. The platform tracks website citations separately from brand mentions and supports prompt-level diagnosis of mention-versus-citation gaps ^[103]. Competitive market-share analysis and benchmarking by topic and prompt are supported, with public plan information listing up to 75 or more tracked competitors for Enterprise ^[109]. Conductor states that customers can create custom dashboards and connect AI referral traffic with engagement, conversions, and revenue through integrations such as Google Analytics 4 ^[106]. Google's bundle reports coverage across 9 generative AI engines and SOC 2 Type 2 and ISO 27001 compliance ^[110].

Main limitations. Public evidence is primarily Conductor-controlled marketing and product documentation rather than independent comparative testing ^[103]. No public dollar pricing is available, making total cost of ownership difficult to compare before procurement ^[109]. The public materials do not fully specify engine-by-engine coverage, prompt-volume limits, historical data retention, refresh cadence, exports, or plan-level availability ^[103]. Anthropic's bundle reports a steep learning curve, high implementation friction, and that the AI visibility feature is built as an extension of the SEO platform rather than a standalone product ^[107].

What the Cross-Platform Study Reveals About This Market

Questions This Section Answers

• What do AI platforms consistently look for in an AI visibility platform for CMOs, and what does that mean for a buyer building a shortlist?
• Why do AI visibility platforms disagree so much about pricing and model coverage for the same products?

Three patterns dominate this market based on the supplied evidence. First, the category is consolidating around a small number of capabilities: multi-engine coverage, daily prompt tracking, mention and citation measurement, competitor benchmarking, and trend reporting appear in nearly every qualifying entity's bundle ^[113]. Second, pricing transparency is the single most contested dimension. Profound, Athena HQ, and Conductor are sales-led with no public enterprise price ^[121], while OtterlyAI, Pineprompt, Peec AI, and Astiva AI publish tier prices that still conflict across sources [e8:official:C2][e5:official:C2]^[123][e4:official:C2]. Third, engine coverage is a moving target: bundles for Profound, Ahrefs, Semrush, Peec AI, and OtterlyAI all contain internal or cross-platform conflicts about which models are included at which tier ^[124]. .

Where the AI Platforms Agreed

Questions This Section Answers

• Which AI visibility platform capabilities do all major AI assistants agree CMOs need?

Across the nine qualifying entities, several findings recurred regardless of which platform was answering. Daily or near-daily prompt monitoring is treated as a baseline expectation, described for Profound, Ahrefs, Semrush, Astiva AI, Pineprompt, Athena HQ, Peec AI, and OtterlyAI ^[128]. Citation tracking — identifying which URLs and domains AI systems cite — is described as a core capability for every qualifying entity ^[136]. Competitor benchmarking with share-of-voice or share-of-citation comparison appears in every bundle ^[142].

Platforms also agreed on the limits of the category. Multiple bundles state that AI visibility metrics are directional rather than definitive because AI responses are dynamic, personalized, and change with model updates ^[146].

Where the AI Platforms Disagreed

Questions This Section Answers

• Why do AI platforms disagree about whether Ahrefs, Semrush, and Conductor are strong AI visibility platforms for CMOs?
• Which AI visibility platform claims should a CMO treat as unverified before signing a contract?

The deepest disagreement in this index is about whether SEO-suite AI visibility modules count as genuine AI visibility platforms. Kimi rated Ahrefs a weak fit, stating it lacks native multi-AI-engine tracking, prompt-based measurement, citation tracking within AI answers, and AI-specific competitor benchmarking ^[150]. Openai, anthropic, deepseek, and perplexity rated Ahrefs a good fit with broad AI coverage ^[151]. The same split appears for Semrush, where Kimi reported weekly cadence, limited providers, and no AI-specific benchmarking ^[155], while Openai and Anthropic described daily prompt tracking, competitor research, and citation tracking ^[156]. For Conductor, Kimi reported no verified evidence of AI visibility capabilities at all ^[158], while Grok described a strong enterprise fit ^[159].

A second disagreement is about verifiability of newer or smaller vendors.

How Buyers Should Choose

Questions This Section Answers

• What should a CMO check before choosing an AI visibility platform for board-level reporting?
• Which AI visibility platform should a CMO pick if the brand needs verified enterprise security and SSO before purchase?

Start with the commercial model, because it determines how much verification work is required. If the organization needs published pricing and a self-serve trial, OtterlyAI, Pineprompt, Peec AI, and Astiva AI publish tier prices, though each has documented conflicts or caveats [e8:official:C2][e5:official:C2]^[160][e4:official:C2]. If the organization needs enterprise governance, SSO, and BI-tool reporting, Profound, Athena HQ, and Conductor describe those capabilities but require sales-led procurement with undisclosed pricing ^[161].

Second, verify the exact engine list in writing. Every top-ranked entity has at least one documented coverage conflict: Profound's engine list varies across sources ^[164], Ahrefs' Grok availability is inconsistent ^[165], Semrush requires a separate Enterprise AIO product for Claude, Copilot, and DeepSeek ^[166], Astiva AI's Growth plan is listed as both 5 and 10 platforms ^[167], Peec AI's included model count varies by source ^[168], and OtterlyAI's Claude billing treatment is unclear ^[169].

Third, decide whether the buyer needs measurement only or measurement plus execution.

Methodology

This index used one standardized prompt sent once to each of 7 included AI platforms: openai, anthropic, deepseek, grok, perplexity, kimi, and google. The prompt asked which AI visibility platforms would be recommended for CMOs and senior marketing leadership, and why. The authoritative research date is 2026-09-19. Platform-reported research dates are provenance metadata and do not independently prove freshness; several platforms reported different dates, including anthropic at 2024-12-19 for one entity bundle and deepseek at dates ranging from 2026-01-08 to 2026-06-12 across bundles.

Entities qualified for this index by being named by at least two platforms during ranking discovery. Platform mentions count only ranking-discovery mentions and do not reflect how many platforms later completed a fit assessment. The final ranking table is the sole authority for rank, platform mentions, platform share, average listed position, and best rank. Fit ratings, pricing, feature descriptions, and limitations come from the entity evidence bundles and the deduplicated source catalog.

The URLs in the source catalog were collected from platform responses and were not independently validated by either writer stage. Citations are platform-reported evidence, not independently verified facts. Company-owned citations materially outnumber independent citations in several bundles, and company claims are not described as independently verified anywhere in this report.

Methodology Limitations

Several limitations apply to every conclusion in this report. First, the study used one standardized prompt sent once to each platform; AI answers can vary by date, wording, location, account state, model, interface, browsing configuration, and the sources retrieved. Second, platform recommendations are market intelligence, not independent customer reviews or proof of quality. Third, platform-reported research dates differ from the authoritative run date of 2026-09-19, and those dates are provenance metadata rather than proof of freshness. Fourth, company-owned citations materially outnumber independent citations in most bundles, so vendor capability claims should not be treated as independently verified. Fifth, the supplied URLs were collected from platform responses and were not independently validated. Sixth, conflicting product names, pricing, and capabilities were not resolved by guessing; where bundles conflict, this report describes the conflict and tells buyers what to verify. Seventh, no-search model claims require explicit verification before being described as current facts. Eighth, the configured platform count of 7 is provenance only; exactly 7 platforms were included in this run, and that number is the number of platforms studied.

Final Verdict

Profound is the consensus leader for CMOs who need board-ready AI visibility and competitive intelligence, with the strongest ranking signal in the index: 4 platform mentions, all at position 1, and an average listed position of 1.0 ^[170]. Ahrefs and Semrush are the strongest alternatives for organizations already standardized on an SEO suite, with the tradeoff that their AI visibility modules are newer and their coverage lists and refresh cadences are contested across platforms ^[174]. Astiva AI, Pineprompt, Athena HQ, Peec AI, OtterlyAI, and Conductor each serve a distinct buyer need — lower published entry price, daily multi-engine baselines, enterprise BI reporting, focused prompt tracking, transparent self-serve pricing, or unified SEO plus AI visibility — but each carries documented verification requirements around pricing, coverage, retention, or independent validation ^[178][e8:official:C2]^[182]. No entity in this index should be selected on public materials alone; every purchase decision should be contingent on written confirmation of engine coverage, prompt limits, historical retention, reporting outputs, security terms, and total cost.