The top AI search analytics platforms for B2B growth teams in 2026, ranked on measurement depth, attribution, pricing, and fit.
AI search analytics platforms tell you three things: whether AI engines mention your brand, which sources they cite, and what that exposure does to traffic and pipeline. Most tools cover the first two. Few cover the third. This guide ranks eight platforms on all three so your growth team can pick the one that matches the questions your CFO asks.
The measurement gap is real. A 2026 Data-Mania benchmark across 500+ B2B SaaS sites found that 73% of ChatGPT-referred sessions land in GA4 as Direct traffic. The same study estimates true AI traffic runs two to three times higher than analytics reports. If you only read your default dashboard, you undercount the channel.
Match the platform to your biggest blind spot. If you cannot see which AI answers include your brand, start with a visibility platform such as Nobori, Profound, or Peec AI. If you can see mentions but cannot tie them to pipeline, add an attribution layer such as Dreamdata or HockeyStack. If you already run an analytics suite, check whether it ships an AI module before you buy another tool.
We ranked the eight platforms below on measurement depth, engine coverage, attribution to revenue, pricing transparency, and how directly the data turns into work. Nobori publishes this list, so we rank ourselves first and state where we fall short. Check vendor pricing pages before you budget, because every number here changes.
What it does: Nobori tracks how B2B brands appear in answers from ChatGPT, Google AI Overviews, Perplexity, Gemini, and Claude. Data refreshes daily. You see your share of AI answers, the competitors that appear instead of you, and the sources the engines cite.
Who it is for: SaaS companies, enterprise software vendors, and agencies that need to turn AI visibility into leads. The multi-brand workspace lets an agency manage several clients without separate logins.
Key differentiator: Nobori converts analytics into tasks. When the data shows a competitor owns a citation you want, the platform creates the work item: a page to update, a third-party site to pitch, or a gap to fill. Most dashboards stop at the chart. Our AI citation monitoring comparison explains how citation gaps become tasks.
Pricing signal: You can start free at nobori.ai. Check the pricing page for paid tiers.
Where it falls short: Nobori covers five engines, where Profound covers ten or more. It does not run multi-touch revenue attribution. Pair it with GA4 or a CRM attribution tool when finance wants closed-won numbers.
Verdict: Choose Nobori when your team wants daily visibility data, competitor context, and a to-do list in one place.
What it does: Profound is the deepest enterprise analytics platform in this group. It reports visibility, share of voice, and sentiment, plus URL-level citations, query fan-outs, and the full text of underlying answers. A FactCheck feature flags inaccurate claims about your brand. Crawler analytics show which AI bots visit your site.
Who it is for: Enterprise marketing and brand teams with security requirements. Profound lists role-based access control, SCIM, and SOC 2, and it tracks engines including ChatGPT, Perplexity, Claude, Gemini, Copilot, DeepSeek, and Google AI Overviews.
Key differentiator: Coverage and governance. No other platform on this list matches its engine count or its reporting depth for large organizations.
Pricing signal: Profound does not publish prices. Expect a custom quote.
Verdict: Profound fits teams that need board-level reporting and compliance controls. Smaller teams pay for depth they will not use.
What it does: AthenaHQ tracks mentions, citations, sentiment, competitors, and content gaps. It also flags inaccurate claims AI engines make about your brand. Paid plans monitor 11 or more models.
Who it is for: Growth teams that want AI visibility next to their existing web analytics. AthenaHQ connects to GA4, Google Search Console, and Shopify, so you can compare visibility changes with on-site behavior.
Key differentiator: The analytics integrations. You do not export a CSV to line up citations with sessions.
Pricing signal: The Essential plan is free with 300 credits. Starter costs $295 per month for 3,600 credits, unlimited members, and 11 models. One credit equals one AI response, so prompt volume drives cost. Enterprise pricing is custom.
Verdict: AthenaHQ works well for mid-market teams that live in GA4 and want a free tier to validate the data first.
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What it does: Dreamdata maps visits from ChatGPT, Gemini, and Perplexity into an Organic LLM channel. It then runs those visits through B2B multi-touch attribution to measure MQLs, pipeline, and closed-won revenue.
Who it is for: B2B teams with long sales cycles and a CRM full of account data. The platform is warehouse-first, so your data team needs to be involved in setup.
Key differentiator: Revenue attribution. In Dreamdata's worked example, LLM-surfaced content influenced 1.1% of MQLs and 6.2% of closed-won business. The gap between those two numbers shows why you measure AI search at the pipeline level: the channel's influence grows as deals advance.
Pricing signal: Dreamdata lists a free plan. Paid tiers are quote-based.
Verdict: Pick Dreamdata when your question is "which AI exposure produced pipeline?" It does not tell you which prompts or competitors to target, so pair it with a visibility platform.
What it does: HockeyStack captures LLM sessions as a traffic source and follows those visitors through the funnel with multi-touch attribution.
Who it is for: B2B revenue teams that want product, marketing, and sales data in one view.
Key differentiator: Funnel-level evidence. HockeyStack studied 118 accounts and found AI-driven sessions split roughly 82% ChatGPT, 12% Perplexity, and 5% Gemini. The same study found most accounts had not yet closed LLM-sourced deals. That is a useful reality check: AI search is an early-funnel channel for many B2B companies, and your reporting should reflect that.
Pricing signal: The sources we reviewed do not list HockeyStack pricing. Request a quote.
Verdict: HockeyStack suits teams that already invest in attribution and want AI sessions inside the same model. It does not track what AI engines say about your brand.
What it does: Peec AI measures visibility, position, sentiment, competitors, citations, and crawlability. It separates brand mentions from citations at the domain and URL level, which matters when you decide whether to improve your own pages or earn coverage elsewhere.
Who it is for: Teams that route AI data into their own reporting stack. Exports go through Looker Studio, CSV, REST API, webhooks, and MCP.
Key differentiator: Data portability. If your analysts build dashboards in Looker Studio, Peec AI feeds them without custom scraping.
Pricing signal: Starter includes 50 prompts and one project. Pro includes 150 prompts and two projects. Advanced includes 350 prompts and five projects. Annual billing saves 15%. Our SaaS tracking platform comparison covers plan pricing in more detail.
Verdict: Peec AI is a strong analyst-friendly option. It reports; it does not assign the follow-up work.
What it does: Semrush tracks mentions, citations, cited pages, sentiment, share of voice, and competitor gaps. Official documentation lists ChatGPT, Gemini, Google AI Mode, and Google AI Overviews. The data connects to Site Audit and Position Tracking.
Who it is for: Teams that already pay for Semrush and want AI reporting beside keyword rankings and backlinks.
Key differentiator: One login for classic SEO and AI search. You compare ranking changes with citation changes in the same interface.
Pricing signal: The standalone AI Visibility Toolkit costs $99 per month per domain with 25 tracked prompts. Semrush One starts at $199 per month (Starter), then $299 (Pro+) and $549 (Advanced).
Verdict: Semrush is the practical choice for SEO teams extending an existing stack. The 25-prompt limit on the toolkit restricts coverage of a large buyer-question set. See our AEO tools comparison for how it stacks up on features.
What it does: Amplitude launched an AI Visibility product in late 2025 that sends AI-search events into Amplitude Analytics. You view AI visibility next to traffic, conversion, and revenue data you already collect.
Who it is for: Product-led growth teams that run their funnel in Amplitude.
Key differentiator: No new data silo. Reports show AI exposure inside the product analytics you already use.
Pricing signal: Reports indicate AI Visibility comes included for existing Amplitude customers. Confirm current terms with Amplitude.
Verdict: Amplitude works if you already own it. It offers less competitor and citation-source depth than the dedicated visibility platforms above.
Look for five capabilities. First, engine coverage that matches where your buyers search. Second, citation data at the URL level, so you know which pages the engines trust. Third, competitor tracking, since AI answers are a shortlist and your share depends on who else appears. Fourth, a path from visibility to revenue through GA4, a CRM, or an attribution tool. Fifth, an output your team will act on, whether that is a task list, a report, or an API feed.
Ask each vendor how it collects data. Tools that simulate real user sessions and tools that call model APIs return different answers for the same prompt. Test both against a sample of your own buyer questions before you sign.
Prices range from free tiers to enterprise contracts. AthenaHQ offers a free Essential plan and a $295 monthly Starter plan. Semrush starts at $99 per month per domain for the toolkit. Dreamdata lists a free plan. Profound and HockeyStack require a quote. Credit-based and prompt-based plans scale with how many questions you track, so price the plan at the prompt volume you need, not the entry tier.
Budget for the attribution layer separately. Visibility tools rarely include multi-touch revenue reporting, and attribution tools rarely include citation tracking.
Many AI assistants strip referrer data, so the visit arrives as Direct. The Data-Mania benchmark puts the share of ChatGPT-referred sessions recorded as Direct in GA4 at 73%. The same study reports ChatGPT sending 62.6% of trackable AI referrals, Claude 18.5%, Gemini 10.6%, and Perplexity 7.3%, based on 500+ B2B SaaS sites over 30 days.
Fix the basics first. Create a GA4 channel group for known AI referrers, add UTM parameters to links you control, and ask new leads how they found you. Our analysis of AI chatbot usage and referral share shows why usage and referrals diverge.
| Platform | Primary strength | Attribution to revenue | Pricing signal | Best for |
|---|---|---|---|---|
| Nobori | Daily visibility across 5 engines plus tasks | Pair with GA4 or CRM | Free start | B2B SaaS and agencies |
| Profound | Enterprise depth and governance | Limited | Custom quote | Large enterprises |
| AthenaHQ | GA4, Search Console, Shopify links | Via GA4 | Free; $295/mo Starter | Mid-market growth teams |
| Dreamdata | B2B multi-touch attribution | Yes | Free plan; quote | Long sales cycles |
| HockeyStack | Funnel-level LLM sessions | Yes | Quote | Revenue teams |
| Peec AI | Exports and mention vs citation split | Via your BI stack | Tiered by prompts | Analyst-led teams |
| Semrush | SEO plus AI in one suite | Limited | $99/mo toolkit; $199+ One | SEO teams |
| Amplitude AI Visibility | Inside product analytics | Via Amplitude | Included for customers | PLG teams |
An AI search analytics platform measures how AI engines such as ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews present your brand. It tracks mentions, citations, sentiment, and competitor share, and some platforms connect those signals to traffic and pipeline.
GA4 captures part of it. Referrals from identifiable AI domains appear in your reports, but many visits arrive as Direct. Use a custom channel group, UTMs, and self-reported attribution on forms to close the gap.
Most B2B teams do. A visibility platform shows what AI engines say about you and who they cite. An attribution platform shows what AI-sourced visitors do after they click. Few tools do both well.
Start with 50 to 100 buyer questions that cover your category, your competitors, and your use cases. Expand after you see which questions produce citations.
AI answers shift often. Daily refresh catches a lost citation within a day. Weekly refresh can miss one. Choose the refresh rate that matches how quickly you plan to respond.
Start tracking your AI visibility → nobori.ai
