An enterprise marketing team can identify the right LLM visibility tool in an afternoon. Getting it through procurement is what takes another six weeks. Most tools in the AI visibility category were built for a single marketer with a company card: 1 user license, no SSO, no API access, support that runs on email tickets. The enterprise list is shorter and the criteria are different: role-based access control across many seats, dedicated support, API access that integrates into Tableau, Power BI, Looker Studio, or Snowflake.
The buying decision also has a different centre of gravity. A solo buyer asks “which tool gives me the best dashboard?” An enterprise buyer asks “which tool clears procurement, integrates into our existing stack, scales across our 14 brand workspaces, and delivers data the CMO can defend in a board review?” The five tools below are the AI visibility platforms that meet the procurement bar and the scale bar, listed in the order most enterprise teams will evaluate them.
Pricing is taken from each vendor’s current pricing page; G2 ratings are included where the platform has its own G2 listing.
What an Enterprise LLM Visibility Tool Should Actually Do
Six capabilities matter more than the rest for enterprise buyers:
Compliance posture and certifications. SOC 2 Type II is the baseline most procurement teams require. GDPR and CCPA compliance matter for any team operating in EU or US-California markets. ISO 27001 is increasingly common as a tie-breaker. Tools that publish their certifications on the pricing or trust page (rather than gating them behind a sales call) shorten the procurement cycle measurably.
SSO and identity management. SAML and OIDC SSO are non-negotiable for enterprise IT. Google and Microsoft OAuth are useful as fallbacks. Two-factor authentication and role-based access control (RBAC) round out the enterprise IAM checklist. Tools that put SSO on Enterprise tier only effectively gate enterprise readiness behind a custom contract.
Seat model and team scale. “Unlimited seats” or per-user pricing matters less than what the tool charges to add the 50th user. Some tools charge $25-50/seat at scale; others include unlimited seats with RBAC on every plan. For a 200-person marketing organisation with quarterly contractor rotation, this is one of the largest line items in the TCO.
API, MCP, and workflow extensibility. Enterprise data has to land in Tableau, Power BI, Looker Studio, or Snowflake to feed executive dashboards, but the more interesting use cases sit one layer above: custom workflows that combine AI visibility data with the rest of the stack. REST API access lets a data team pipe citation data into Snowflake, trigger Slack alerts via n8n when share-of-voice drops by 10% week-over-week, or auto-generate a weekly client report from a custom template. MCP (Model Context Protocol) server access takes it the other direction – a marketer asks Claude or Cursor “show our citation rate on the ‘best [category]’ query over the last 30 days” and the AI fetches the answer live, no dashboard hop required. The combination of API (automate the data) and MCP (converse with the data) is what separates a tool that produces dashboards from a tool that produces a programmable AI visibility layer.
Dedicated support with SLAs. Enterprise teams want named contacts, defined response times (2-hour or 24-hour SLAs), and structured onboarding rather than support tickets. Slack channels with the vendor’s customer success team are common at the top tiers.
Multi-region, multi-language, multi-brand support. Global enterprises track AI visibility across 5-50 markets. Tools that cap multi-language or multi-region at lower tiers force the buyer to Enterprise immediately, regardless of prompt volume.
Tools at a Glance
| Tool | Enterprise differentiator | Compliance & SSO | Extensibility (API / MCP / BI) | Entry Price |
|---|---|---|---|---|
| Peec AI | Closed-loop tracking with the Actions module on every Brands plan; Enterprise adds custom prompt tracking, unlimited projects/users/countries, API, SSO | SSO and API on Enterprise; GDPR | REST API + MCP server (Claude, Cursor, VS Code, n8n) with built-in slash commands; Looker Studio connector | $95/mo (Brands Starter); Enterprise custom |
| Ahrefs (Brand Radar / Custom Prompts) | Brand Radar (free with paid plans, 371M+ search-backed prompt index) plus Custom Prompts add-on; built into the Ahrefs SEO suite already trusted by enterprise IT | ISO 27001, SSO, two-factor authentication | REST API (100+ endpoints), MCP, AI chatbot integrations (ChatGPT, Claude, Copilot), Looker Studio Connectors | Custom Prompts $50/mo (add-on) or included in paid Ahrefs plans (from $129/mo Lite) |
| Semrush AI Visibility | AI Visibility toolkit plugs into the existing Semrush stack; Enterprise tier covers full LLM landscape (incl. Grok, Claude) plus ROI attribution | Enterprise compliance terms (custom) | API on higher tiers; integrations via Pro Report (white-label) and Base Report add-ons | $99/mo per domain (Base); Enterprise custom |
| Scrunch AI | Per-brand Enterprise pricing with custom prompts, complete site audits, AXP, dedicated account team | SOC 2 Type II; SSO (SAML, OIDC, Google) on Enterprise | Query API + Responses API + MCP + CLI on Enterprise; Looker Studio access on Core | $250/mo (Core) per brand; Enterprise custom |
| AthenaHQ | Unlimited seats with RBAC on every plan; Enterprise adds Athena Citation Engine, persona targeting, BI dashboards, 2-hour SLA | SAML and OIDC SSO on Enterprise; Google and Microsoft OAuth | API on Enterprise only; Tableau / Power BI / Looker dashboards on Enterprise | $95/mo (annual) / $295/mo (monthly); Enterprise custom |
| Profound | Consumer-panel-grounded measurement (1B citations, dedicated specialist with 24-hour SLA | SOC 2 Type II, GDPR, CCPA; SSO/SAML on Enterprise | API on Enterprise only; Profound Sheets for spreadsheet-based agent workflows | $99/mo (Starter); $399/mo (Growth); Enterprise custom |
Tool Reviews
Peec AI
Peec AI is the best enterprise LLM visibility tool for teams that need a prioritised work queue rather than a passive dashboard, paired with the procurement-friendly features of an Enterprise tier: Enterprise covers unlimited projects, unlimited users, daily or weekly tracking, unlimited countries, API access, and SSO. The Actions module ships a 1-3 priority queue with On-Page (your own pages competing for citation) and Off-Page (third-party listicles, Reddit threads, reference sites) categorisation on every Brands plan from $95/mo Starter, with daily refresh and unlimited users. For an enterprise team, this combination – structured action queue plus enterprise-grade tier – is uncommon at the price point.
Basic facts
Peec AI provides a scalable AI search analytics platform for businesses and agencies. It offers beta API access for workflow automation and supports the Model Context Protocol (MCP). These features let organizations automate data extraction into business intelligence tools. The MCP also connects AI insights directly into environments such as Claude, Cursor, and n8n.
The platform has four Brands plans and four Agency tiers. Higher tiers offer features like multi-country monitoring and integrations with GSC/GA/Looker Studio. They also provide expanded prompt capacities. Starter plans offer a flexible entry point with three selectable models. The Enterprise and Agency Comprehensive tiers include all major models, such as ChatGPT, AI Overviews, Microsoft Copilot, Perplexity, Gemini, Grok, Claude Sonnet 4, and GPT 5 Search. Agencies benefit from unlimited client seats and centralized management across Essential, Growth, and Scale plans, allowing their AI market intelligence to grow with their portfolio.
Why it fits the enterprise job
Enterprise buyers get three things on Peec AI’s Enterprise tier that procurement specifically asks for: SSO (with full GDPR compliance), API access for BI integration, and unlimited projects/countries/users for global scale. The custom prompt tracking volume means a 200-prompt enterprise programme doesn’t run into a tier ceiling. Daily or weekly tracking frequency is configurable, useful for buyers who don’t want to pay for daily refresh on prompts that move slowly.
The selectable engine model is what makes the Brands tier shape work for enterprise too. A global enterprise running AEO across 5 markets dedicates each project’s three engine slots to the LLMs where actual buyers are in that market: ChatGPT, Perplexity, and Claude in the US; Gemini, AI Mode, and AI Overviews in markets where Google AI dominates. Enterprise unlocks all engines if the team needs to track all nine simultaneously. The MCP server is the third layer: a CMO can ask Claude or Cursor “show our visibility trend on the ‘best CRM’ query across our top 10 markets” and the AI fetches the answer live from Peec AI projects, no dashboard hop required.
The platform’s data collection draws on roughly 30 million sources weekly across editorial domains, Reddit, NYT articles, and the broader web that AI models cite. Peec AI also extracts the top 1,000 performing listicles weekly per AI platform, identifying self-promotional content by matching domain names with brand mentions. The Earned Media module surfaces where AI is currently citing competitors so PR teams can target the same publications.
Key features
Peec AI provides AI visibility tracking in major LLMs, brand mention analysis, citation tracking, sentiment analysis, and competitive benchmarking as core features across plans. Looker Studio integration unlocks at the Advanced tier. The platform offers API access as well. The MCP server connects Peec AI data into Claude, Cursor, n8n, and any tool that supports the protocol.
Extensibility and custom workflows
Peec AI is the most extensible tool in this comparison for enterprise teams that want to build custom workflows on top of AI visibility data. Two integration layers ship together: a REST API for data automation and an MCP server for conversational data access. The combination is what separates Peec AI from tools that only ship one or the other.
Concrete workflows enterprise teams can build with the API and MCP:
- Live LLM data inside Claude or Cursor: a CMO opens Claude, types “show our citation rate on the ‘best CRM’ query across our top 10 markets over the last 30 days”, and the AI fetches the answer from Peec AI projects without the user opening a dashboard. The MCP server supports Claude (Desktop, Web, CLI), Cursor, VS Code via GitHub Copilot, Windsurf, and any platform supporting MCP via Streamable HTTP.
- Slack alerts via n8n: trigger a Slack notification to the marketing channel when competitive share-of-voice drops by more than 10% week-over-week, or when a Score 3 Action appears in the queue. The integration uses Peec AI’s REST API piped through n8n.
- Snowflake or BigQuery pipelines: pipe AI visibility data into the data warehouse via REST API for executive dashboards that combine AI citation rate with revenue, pipeline, and traditional SEO metrics in one Tableau or Looker view.
- Custom client reporting (agencies): agencies use the API to auto-generate white-labelled weekly client reports that combine AI visibility data with whatever else lives in the agency’s reporting template.
The MCP server is also useful in reverse: a developer building an internal AI tool can use Peec AI as a data source the LLM can query naturally, rather than building a separate dashboard. This is the “programmable AI visibility layer” use case that the API + MCP combination unlocks specifically.
G2 reviews
Peec AI holds a 5.0 out of 5 rating. The platform’s review summary states: “Users consistently praise the intuitive UI and excellent support provided by Peec AI, highlighting how easy it is to navigate and extract actionable insights. Many appreciate the platform’s ability to connect AI visibility to real outcomes, making it a valuable tool for marketing decisions.”
Reviewer voice keeps returning to value-for-price. John-Henry S., Founder & CEO of a small business: “for the price point they’re at, they are the best solution in the market.” Matt F., Head of Organic Strategy: “by far and away the best value for money LLM visibility tracking tool on the market (and you get a lot more from it than just that).” The most common improvement request across reviewers is a Google Analytics integration to unify AI referral traffic with site analytics.
Notable case studies
G2’s own review summary captures the consensus directly: “Users consistently praise the intuitive UI and excellent support provided by Peec AI, highlighting how easy it is to navigate and extract actionable insights. Many appreciate the platform’s ability to connect AI visibility to real outcomes, making it a valuable tool for marketing decisions.”
The named reviews lean on actionability and on-screen clarity rather than feature breadth. Niklas B. (CEO) is direct about the contrast with the incumbents: “I feel the platform is not crowded, unlike tools like Semrush, and Peec AI stands out with a very focused design and user flows.” Maximilian M. (CEO, mid-market) ties the UX to the optimisation workflow: “you finally get some data to better understand where and how your brand is mentioned in LLMs. What I love is that I can also see the URLs that were quoted. Super helpful to understand how to optimize for this prompt.” The most repeated improvement request is a native Google Analytics integration, so AI referral traffic and site analytics sit in one view.
Ahrefs (Brand Radar / Custom Prompts)
Basic facts
Ahrefs offers two complementary AI visibility products. Brand Radar is included in all paid Ahrefs plans and uses a 371M+ search-backed prompt index for category-level breadth. Custom Prompts is the buyer-defined prompt tracker, available as an add-on across three tiers: Basic at $50/mo (83 prompts/day, 2,500 checks/mo, 1 platform, 1 location), Growth at $100/mo (233 prompts/day, multiple platforms), and Scale at $250/mo (833 prompts/day, multiple platforms). Custom Prompts is also included in paid Ahrefs plans at lower volumes (Lite: 5/day, Standard: 10/day, Advanced: 20/day). Ahrefs subscription tiers run from $129/mo Lite upward.
Why it fits the enterprise job
The strategic fit for enterprise is that Ahrefs is already in the buyer’s stack. Most enterprise SEO teams pay for Ahrefs for backlinks and keyword research; Brand Radar coming free with the subscription removes the procurement step entirely. For enterprise IT, Ahrefs ships ISO 27001 certification, SSO, two-factor authentication, and enterprise-grade security as part of the paid plans – which clears most enterprise security checklists without a separate review cycle.
The Brand Radar prompt source matters specifically for enterprise too: 371M+ search-backed prompts (real questions people typed into Google last week, not synthetic LLM-generated test queries). When Brand Radar tells an enterprise CMO that the brand is missing from “best [category]” answers across LLMs, that’s a question buyers genuinely ask, not a hypothetical the platform invented to pad a coverage number. The scale also means enterprise teams don’t have to manually define every prompt before the platform produces useful coverage data.
Ahrefs also publishes a research finding that’s specifically useful for enterprise content programmes: pages with direct quotes, statistics, and citations see 30-40% uplift in LLM response inclusion compared to thin content. That informs the optimisation work the in-house content team takes on.
Key features
Custom Prompts covers brand mentions, citations, impressions, AI Share of Voice (SOV), fanout query discovery, prompt grouping by topic/funnel stage/campaign, API access, AI-generated prompt suggestions (from competitor comparisons, pricing data, Ahrefs signals), and the option to switch between Ahrefs’s 371M+ prompt database and your own prompts. Brand Radar adds Reddit Visibility, AI Visibility Checker, AI Content Grader, point-in-time comparison, and integration with AI chatbots (ChatGPT, Claude, Copilot) via Ahrefs’s MCP. Ahrefs is ISO 27001 certified with SSO and two-factor authentication.
G2 reviews
Brand Radar and Custom Prompts are not separately listed on G2. The broader Ahrefs platform has its own G2 profile, which reflects the full Ahrefs SEO suite rather than the AI visibility products specifically.
Semrush AI Visibility
Basic facts
Semrush sells AI Visibility as a standalone toolkit plan, separate from the broader Semrush SEO suite. Base runs at $99/mo per domain, with 25 custom prompts tracked daily, 300 AI Analysis reports per day, 1 domain for Brand Performance analysis, and daily, weekly, and monthly data updates. Available models on Base: ChatGPT, Google AI, Gemini, Perplexity. Enterprise (custom, demo required) adds full LLM coverage including Grok and Claude, custom prompt tracking, brand/concept/product line segmentation, ROI attribution, and funnel analysis.
Why it fits the enterprise job
For enterprise buyers already on Semrush for SEO (which is most of them), AI Visibility plugs into the existing reporting stack rather than introducing a new vendor. Per-domain pricing means a single-brand enterprise pays a flat $99/mo on Base; a multi-brand enterprise pays $99 per tracked brand. The Enterprise tier is where the procurement-relevant features land: full LLM coverage (Grok, Claude in addition to ChatGPT, Google AI, Gemini, Perplexity), brand/concept/product line segmentation (a global enterprise can analyse “Brand X / Product Y / Region Z” combinations separately), and ROI attribution paired with funnel analytics.
The Semrush product also includes AI-driven marketing opportunities and AI-generated business strategy recommendations – useful when the enterprise CMO needs the dashboard to produce specific next moves rather than just data. Add-ons available include Additional Users from $45/mo, Lead Generation $90/mo, and Pro Report $20/mo with white-label options for agency-style presentation.
Key features
Semrush AI Visibility includes AI competitor analysis, prompt research, AI readiness site audit, brand performance analysis (share of voice, AI-powered visibility tracking, AI-generated business strategy recommendations), AI brand sentiment analysis, competitive positioning insights, AI-driven marketing opportunities, share of voice tracking over time, mentions breakdown by question, branded and non-branded AI citation breakdowns, AI audience insights, query and intent analysis, and content opportunity surfacing.
G2 reviews
The AI Visibility plan is not separately listed on G2; the broader Semrush platform has its own G2 profile, which reflects the full Semrush SEO suite rather than the AI Visibility toolkit specifically.
Verified testimonials
Vitor Peçanha, Co-Founder of Rock Content: “In the first 5 years of RockContent’s existence Semrush has helped us to become Brazil’s biggest digital marketing blog.” Idan Segal, Organic Growth Lead at Wix: “By using Semrush, my team saves a lot of time by working on the right content and in a more data-driven way.” Nick Wilsdon, Product Owner of Search at Vodafone Group, frames the value this way: “The most important thing I can have really is data. Data is my currency. I need to support initiatives, business cases – any tools that give me insight I find incredibly useful. Semrush is a very solid package that delivers exactly that.”
Scrunch AI
Basic facts
Scrunch AI offers two main plans, charged per brand. Core at $250/mo includes 125 unique prompts, 5 site audits per month (25 pages per site map), 1 brand workspace, 5 user licenses, 1 country, 2 languages, 3 personas, 5 competitors, 3 AI Search Trends topics, and 1 page optimization per month. Core covers 4 LLMs: ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot. Enterprise (custom pricing) expands to 9 LLMs – adding Claude, Gemini, Meta AI, Google AI Mode, and Grok – with custom workspaces, complete site audits, custom AXP (Agent Experience Platform), MCP and CLI access, advanced API, SAML/OIDC SSO, a dedicated account team, and 2 months free on upfront annual.
Why it fits the enterprise job
Scrunch AI’s Enterprise tier is the most procurement-friendly in the AI visibility category. SOC 2 Type II compliance is on the marketing site (a non-negotiable for most enterprise security reviews), SSO covers SAML, OIDC, and Google, and the Enterprise contract includes a dedicated account team plus exec/board reporting templates. Per-brand pricing means a multi-brand enterprise (15 portfolio companies, 8 product lines) gets explicit per-workspace separation rather than a single tenant with project tags.
The technical-GEO toolkit also fits enterprise specifically. The Site Audit tool renders pages as an AI bot would see them, which is the diagnostic that closes the loop when an LLM does not cite an enterprise URL. Sentiment Trends paired with the persona dimension means a global enterprise can segment sentiment by buyer role (CFO asking about pricing, developer asking about API quality, ops manager asking about reliability) – useful for B2B brands with stratified buyer journeys.
The MCP and CLI access on Enterprise opens the data to internal tooling: enterprise data engineering teams can pipe Scrunch metrics into Snowflake, internal dashboards, or Slack channels via custom scripts.
Key features
Scrunch AI includes brand monitoring across LLMs, citations and sources tracking (automatic capture and recording of every URL cited by AI platforms), funnel-stage analysis, sentiment analysis, prompt management, AI agent/bot traffic analysis, Sentiment Trends, Site Audit, a reporting dashboard, and Looker Studio access. Enterprise adds the Agent Experience Platform (AXP) for AI-optimised content delivery, Query API and Responses API, MCP and CLI access, SAML/OIDC SSO, and SOC 2 Type II compliance. Additional user seats run $25/month each or $75/month for 5.
G2 reviews
Scrunch AI holds a 4.7 out of 5 rating across 64 reviews on G2. The platform’s review summary states: “Users consistently praise the ease of use and intuitive dashboard of Scrunch AI, highlighting how it simplifies tracking brand visibility across AI platforms. The platform’s ability to provide detailed insights into competitor performance and AI citations is particularly valued, making it a crucial tool for agencies. However, some users note that the platform could benefit from enhanced data flexibility and additional integrations.”
For enterprise buyers, the procurement signal worth flagging is one 3.5/5 review titled “Strong Product and Analytics, but a Frustrating Sales and Contract Process.” Reviewers score the product evaluation and the buying experience separately – useful intelligence going into a procurement cycle.
Notable case studies
Alex Rapp, Head of Growth Marketing at Clerk, reported a 9x increase in sign-ups from AI search after adopting Scrunch AI: “Scrunch gives us actionable insights that lead to results.” Danilo Vaccalluzzo, a Digital Marketing Manager interviewed in Scrunch’s marketing materials, captured the kind of move-the-needle change the platform is positioned to deliver: “Scrunch showed us exactly what AI was seeing – and what we were missing. It was like flipping on a light switch. Within weeks, we went from invisible to cited right alongside the biggest players in the space.”
AthenaHQ
Basic facts
AthenaHQ offers two plans. Self-Serve runs at $295/month or $95/month billed annually (first month 67% off on monthly) and covers 3,600 credits/month (including a $300/month free credit), unlimited topics, unlimited seats with RBAC, single country and single language support (multi-region requires Enterprise), and 8+ tracked AI platforms (ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Microsoft Copilot, Grok, with additional models on request). Enterprise (custom) adds LLM traffic analysis, self-improving content workflows, the Content Optimization AI Agent with Deep Research, the Athena Citation Engine (ACE), persona targeting, configurable multi-view dashboards, Tableau/Power BI/Looker dashboards, SAML/OIDC SSO, a 2-hour SLA, white-glove setup, and a certified GEO/SEO specialist.
Why it fits the enterprise job
AthenaHQ’s seat model is the differentiator at the enterprise scale. Unlimited seats with RBAC are included on every plan, including Self-Serve. For a 200-person marketing organisation with quarterly contractor rotation, this removes one of the largest variable line items in the TCO. Combined with $300/month free credit baked into Self-Serve and predictable pricing (no per-seat overage), the total cost stays flat as the organisation scales access.
The Enterprise tier brings the procurement-grade features: SAML and OIDC SSO, a 2-hour SLA, white-glove setup, a certified GEO/SEO specialist as a dedicated contact, and BI dashboard integration with Tableau, Power BI, and Looker – the three platforms most enterprise reporting stacks already use. AI blindspot detection is the foundational improvement question framed directly: for which queries is the AI answering without us, and what should we do about it? Combined with On-Page and Off-Page GEO actions, the platform converts blindspot data into specific enterprise workstreams.
GA4 and Google Search Console integration on every plan means the team can correlate AI citation presence with the corresponding traffic delta on the underlying pages, which is the most concrete revenue argument an enterprise CMO can present in a board review.
Key features
AthenaHQ includes On & Off-Page GEO analysis, competitor monitoring and impersonation, basic AI content optimisation, citation intelligence, dynamic AI crawling, AI blindspot detection, brand voice and guidelines enforcement, smart robots.txt and llms.txt management, GA4 and GSC integration, and Shopify/Webflow integrations. Unlimited seats with RBAC are available on every plan.
G2 reviews
AthenaHQ does not list an individual review count in the data available, but holds three G2 badges per its pricing page: High Performer (Spring 2026, Answer Engine Optimization category), Most Loved Software (4.9/5, Top Business Software category), and Users Love Us (4.9/5, Answer Engine Optimization category). For enterprise procurement, these badges are a meaningful third-party validation signal.
Notable case studies
AutoRFP.ai reported a 10x increase in ChatGPT.com referred traffic after using AthenaHQ. Verito reached a 36% Share of Voice gain after adopting the platform.
Profound
Basic facts
Profound offers three plans. Starter at $99/month (or $29/month billed yearly with 2 months free) tracks ChatGPT only, with 50 prompts, 1,500 responses per month, 1 seat, 1 language, 1 region, 100 Profound Agent credits/month, and unlimited domains tracked. Growth at $399/month (or $99/month billed yearly with 2 months free) extends to 100 prompts, 9,000 responses/month, 3 seats, 4 content opportunities/week, and tracks 3 Answer Engines: ChatGPT, Perplexity, and Google AI Overviews. Enterprise (custom pricing) covers up to 10 Answer Engines – adding Google AI Mode, Google Gemini, Microsoft Copilot, Meta AI, Grok, DeepSeek, and Anthropic Claude – alongside ChatGPT Shopping, Profound Sheets, API access, SSO/SAML, SOC2, and a dedicated specialist with a 24-hour SLA.
Why it fits the enterprise job
Profound’s Enterprise tier carries an extensive set of procurement-grade controls. SOC 2 Type II, GDPR, and CCPA compliance are baked into Enterprise. SSO/SAML clears enterprise IAM. The dedicated specialist with a 24-hour SLA gives enterprise procurement the named-contact relationship most internal SLAs require. Profound Sheets – which lets an enterprise team run Profound Agents at scale through a familiar spreadsheet interface – is uncommon at the top tier and useful for in-house data teams that want to operationalise AI visibility data without writing custom code.
The data sourcing also matters specifically for enterprise. Where most tools query AI engines through APIs (which produce the model’s “default” answer), Profound captures responses directly from the consumer experience: real users opted into double-blind panels, real browser sessions, the same outputs an actual buyer would see. At scale: 1 billion AI citations and 30 billion crawler visits analysed daily, drawn through CDN log integrations with Akamai, AWS, Cloudflare, Fastly, GCP, Netlify, Vercel, and a custom WordPress plugin. For an enterprise CMO defending an AEO budget in a board review, panel-grounded data is more credible than synthetic API traces.
The case studies are unusually concrete and category-specific. Ramp achieved 7x AI brand visibility specifically in the Accounts Payable category (a single buyer-decision context, not a brand-wide score). Lake.com saw 5x branded traffic. Hone reported 800% visibility growth using Profound’s content agents to optimise existing pages. Airbyte tripled AI brand visibility in a single week of analysis-and-optimisation work, focused on ChatGPT specifically.
Key features
Profound includes Agent Analytics (full visibility into AI crawler traffic, with daily backups retained one week and Bot Analytics tracking which AI models hit which pages), Sentiment & Keyword Insights, Competitive Research that automatically briefs content gaps based on what AI cites in your category, Profound Agents that handle deep research, competitive tracking, and knowledge-base retrieval, and CMS Integration with agents that connect to your existing CMS to publish approved content. Enterprise adds Profound Sheets for running Agents at scale and ChatGPT Shopping for product-level visibility tracking.
G2 reviews
Profound holds a 4.6 out of 5 rating across 323 reviews on G2 – the largest review base of any AI-visibility-specific platform in this comparison. The platform’s review summary states: “Users consistently praise Profound for its robust data insights and exceptional customer support, which help them track AI visibility and optimize content effectively. The platform’s intuitive interface and comprehensive analytics empower users to make informed decisions about their content strategies. However, some users note a steep learning curve due to the extensive features available.”
The learning-curve note is the most common con across the 323 reviews – worth flagging for enterprise buyers because it suggests the platform requires a structured onboarding investment beyond a typical sign-up flow. Kathleen F., Director of Content Marketing at a mid-market company, captured the pattern: she described her early experience as a “luxury car that was amazing to drive but had a few buttons and switches you didn’t know what to do with,” and credited Profound University (the company’s onboarding programme) with closing the gap.
Notable customers
Statsig (Skye Scofield, Marketing Lead) is among Profound’s named customers per the platform’s pricing page. Profound’s Enterprise tier carries SOC 2 Type II certification, GDPR compliance, and CCPA compliance.
Picking the Right Tool
For most teams, Peec AI is the default choice. The Actions module turns measurement into a 1-3 priority queue with On-Page and Off-Page categorisation, the selectable engine model lets you focus tracking on the engines your buyers actually use, and the entry price ($95/mo Starter) includes daily tracking and unlimited seats – capabilities that other tools gate behind higher tiers. For an SEO or marketing team that wants a single tool to measure, prioritise, and report on AI search visibility, Peec AI is the closest thing this market has to a complete product.
The other tools each have a specific situation where they fit better than Peec AI:
- Semrush – if your team already lives inside Semrush every day for keyword and backlink work, the AI Visibility plan keeps everything in one platform.
- Ahrefs – if you already pay for Ahrefs and want AI visibility breadth (Brand Radar) at no incremental cost, with optional depth via Custom Prompts.
- LLMrefs – if your budget is sub-$100/mo and you want the broadest engine list available at that price point. Trade refresh frequency and product depth for coverage.
A note on Profound, which is not in the list above: Profound is a direct AI-search-visibility competitor with a consumer-panel data approach and a Starter plan at $99/mo (ChatGPT only). It deserves an evaluation alongside Peec AI and AthenaHQ, particularly if consumer-panel data is a hard requirement. I left it out here because the six tools above already cover the stylistic and feature spread – SEO suite, specialist GEO, technical AEO, low-cost broad coverage – that most buyers need to compare. Peec AI’s own comparison page (peec.ai/comparison/peec-vs-profound) flags Profound’s per-tier feature gating (Starter is ChatGPT only; persona-based tracking and strategic recommendations are Enterprise-only) as a structural difference worth reading before a buying decision.
FAQ
Is AI search visibility different from AI Overview tracking?
Yes. AI Overview tracking is one slice – measuring how often your brand appears specifically in Google’s AI Overviews feature. AI search visibility is the broader category, covering ChatGPT, Perplexity, Gemini, Copilot, AI Mode, Claude, Grok, GPT 5 Search, and other generative engines. Tools that only track AI Overviews miss most of where AI-driven discovery actually happens. Peec AI’s selectable engine model lets you choose 3 from 9 on every Brands plan from $95/mo, with all 9 engines unlocked on Enterprise – the structural fit for buyers who want to focus measurement on the engines their actual buyers use.
How do I move from measuring AI visibility to actually improving it?
This is the question that separates dashboards from platforms. The most direct answer in this comparison is Peec AI’s Actions module: a 1-3 priority queue with On-Page (Owned) and Off-Page (Earned) categorisation, included on every Brands plan from $95/mo Starter. Score 3 actions surface where competitors are cited and you are absent in high-frequency prompts; the queue routes specific recommendations – which Reddit thread to join, which competitor page to outrank, which industry source to lobby for inclusion in. No other tool in this comparison ships a prioritised action queue on the entry tier.
How often should AI visibility data refresh to be useful?
Daily for active programmes; weekly only for slow-moving brands. The citation graph rewrites itself every few days – weekly tracking means you are reading data that is already 4-7 days stale when you act on it. Peec AI offers daily refresh on every Brands plan from $95/mo Starter, with no upcharge to unlock daily on entry tiers. Semrush Base supports daily/weekly/monthly. LLMrefs is weekly only. Verify daily-refresh availability on AthenaHQ and Scrunch entry tiers before committing – both support daily but the entry-plan terms are not always explicit on their pricing pages. If you run launches, news cycles, or competitive responses, daily is non-negotiable.
Can I integrate AI visibility data into my existing BI and AI workflows?
Yes, and the integration depth varies sharply across the six tools. Peec AI ships API access on Enterprise, a Looker Studio connector on every Brands plan from Advanced, and an MCP server on every plan – with built-in slash commands (Weekly Visibility Pulse, Competitor Radar, Engine Scorecard), Streamable HTTP support, and live data fetching from Claude, Cursor, VS Code, and n8n. Among the six tools in this comparison, four ship MCP integration (Peec AI, Semrush, Ahrefs, Scrunch AI), but Peec AI’s implementation is the most surface-area-rich. The structural difference: instead of switching tabs to a dashboard, your team queries AI visibility data directly inside the AI editor or chat tool they already use.
