AI tools that analyze GA4, GSC and AI visibility data in one place

"AI visibility" is three datasets, not one

Before comparing tools, pin down which question you are asking, because each has a different source and each tool on this list covers a different subset.

Search Console and GA4 are already layers 2 and 3. So "GA4 plus GSC plus AI visibility in one place" usually means one of two products: an SEO platform that bolts a layer 1 prompt tracker onto your first-party data, or a prompt tracker that has started importing layer 3. The tools below are grouped by which direction they came from.

What changed in 2026

Three first-party releases changed this category more than any vendor launch did.

GA4 got an AI Assistant channel. In May 2026 Google Analytics added "AI Assistant" to the default channel group, so referrals from ChatGPT, Gemini, Claude and other assistants no longer hide inside Referral (Search Engine Journal). It is not retroactive, so year-on-year AI comparisons in GA4 need a custom channel group for the earlier period.

Search Console got a Generative AI performance report. Announced in June and rolled out worldwide by the end of August, it shows impressions in AI Overviews and AI Mode by page, country, device and date. It combines both surfaces into one number and shows no clicks and no queries. The regular Performance report still mixes AI surfaces into web results.

Bing shipped AI Performance. Since February 2026 Bing Webmaster Tools reports citations in Copilot and Bing's AI summaries, including sampled grounding queries and page-level citation counts, in public preview.

Together these mean you can now get real, if partial, AI numbers from the engines for free. That raises the bar for paid tools: a prompt tracker that cannot tell you whether its sampled "visibility" moves the traffic in GA4 is answering a narrower question than it did a year ago.

How to judge one (five questions)

The shortlist at a glance

Enterprise SEO platforms

The closest thing to a genuine "one place". Both connect GA4 and Search Console natively and run their own answer tracking, and both assume a sales call and an annual contract.

1. Conductor

Good at: the page-level join that most tools skip. Conductor's GA4 integration adds a "Performance by AI Engine" view and an AI Search column group with GA4 sessions and conversions per page, next to Search Console data backfilled 16 months and its own tracking of ChatGPT, Perplexity, Gemini and AI Overviews. An MCP server lets an assistant query the lot. Of everything here, it comes closest to covering all three layers in one row per URL.

Watch for: pricing is not published, and the platform is sized for enterprise content teams. If you are one person with three sites, you are paying for workflow and governance you will not use.

Access: enterprise contract, demo first.

2. seoClarity

Good at: engine coverage and bot data. Its ArcAI layer tracks ChatGPT, AI Overviews, AI Mode, Gemini, Claude, Grok, DeepSeek and Perplexity, and seoClarity also reports AI crawler activity, alongside GA4, Search Console and Adobe Analytics integrations. For a large site, crawler logs next to AI citations answer a question the other tools cannot: are AI bots even fetching the pages you want cited?

Watch for: enterprise only, no public pricing, and we could not confirm an assistant that reasons across all three sources in one conversation. Expect dashboards and an API rather than a chat.

Access: enterprise contract.

SEO suites with an AI visibility add-on

If you already pay for one of these, this is the cheapest path to "one login". It is rarely one dataset: the AI tracker, the GA4 connection and the Search Console connection tend to live in different parts of the product.

3. Semrush

Good at: breadth. Projects connect Google Analytics and Search Console, and the separate AI Visibility Toolkit (from about $99/month for one domain and 25 prompts) tracks mentions in ChatGPT, Google's AI surfaces, Gemini and Perplexity. Copilot surfaces recommendations and alerts across your projects.

Watch for: the "AI traffic" dashboard in the Traffic & Market toolkit is a clickstream estimate, not your GA4 property, and it sits in a different toolkit from the prompt tracker. An agent pulling both will happily put a modelled AI-traffic figure next to your measured one. Label every column.

Access: AI Visibility Toolkit sold separately or within the Semrush One bundles; MCP and API access sit on the higher tiers.

4. SE Ranking

Good at: a lot of coverage for the money. GA4 and Search Console integrations sit inside the core platform, and the AI Search add-on tracks AI Overviews, AI Mode, ChatGPT, Perplexity and Gemini. MCP access is included in every plan, metered against API credits.

Watch for: the MCP server exposes SE Ranking's own data, not your GA4 or Search Console. SE Ranking's own guide recommends pairing it with separate GA4 and Search Console servers, so "in one place" is true in the dashboard and false in the assistant.

Access: core plans plus the AI Search add-on.

5. Ahrefs

Good at: answer-presence data at scale. Brand Radar covers AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini and Copilot from a large prompt index rather than only the prompts you type in, and it is reachable through the official Ahrefs MCP server. Search Console connects through Ahrefs Webmaster Tools and projects.

Watch for: there is no live GA4 connector. GA4 history can be imported into Ahrefs Web Analytics, Ahrefs' own cookieless analytics, which breaks out AI referrers once you run its script. That is a migration, not an integration. Brand Radar is also a paid add-on priced per AI platform, so covering all six engines costs several times the base plan.

Access: paid plan plus Brand Radar add-on.

Client reporting

Reporting tools already had GA4 and Search Console connectors. The question in 2026 is whether they added AI visibility natively or expect you to glue it on. Most expect glue: Whatagraph, Swydo and DashThis all add AI-written summaries, but we found no native answer-tracking source in any of them. One tool did it properly.

6. AgencyAnalytics

Good at: putting all three in one client-facing dashboard. The AI Tracker, launched in July 2026, follows brand presence in ChatGPT, AI Overviews, AI Mode, Claude, Perplexity and Gemini, and it sits next to the GA4 and Search Console integrations you probably already use there. AgencyAI answers questions about a client's data, and an MCP server exposes it to external assistants. For an agency that sends monthly reports, this is the shortest path from "clients are asking about ChatGPT" to a slide.

Watch for: it is a reporting layer. It presents the three sources well; it does not do deep analysis on any of them, and it inherits the limits of each API it reads. We could not find public pricing for the AI Tracker, so ask whether it is metered per client.

Access: AgencyAnalytics subscription; confirm AI Tracker pricing with sales.

AI visibility trackers adding first-party data

The other direction: tools built for answer tracking that now import GA4 so they can show whether visibility turns into visits. Neither has a first-class Search Console integration yet.

7. Peec AI

Good at: tying citations to what happened next. Peec's AI Referrals (September 2026) pulls GA4 sessions, conversions and revenue by assistant and landing page; Crawl Insights reads AI bot hits from server or CDN logs; and a per-page view joins crawls, citations and GA4 for each URL. It has an MCP server and a Looker Studio connector. For the pure AI question, crawled then cited then clicked, this is one of the cleanest joins available.

Watch for: no Search Console integration that we could find, so Google's own AI Overviews and AI Mode impressions stay outside the join, and the classic organic picture lives elsewhere.

Access: subscription, priced by prompts tracked.

8. Profound

Good at: the AI-bot side. Agent Analytics reads crawler and agent traffic from CDN integrations, and a GA4 integration imports conversions and revenue so answer visibility can be tied to outcomes. Profound Agents can pull Search Console into automated workflows.

Watch for: Search Console appears as a workflow step rather than a reporting integration, so you will not get a standing organic view. It is also one of the more expensive tools here, with the full agent-analytics layer reserved for enterprise plans.

Access: paid plans, enterprise for Agent Analytics.

Assistant-first, on your own data

The last two start from the opposite end: no dashboard to learn, just your first-party GA4 and Search Console data exposed to Claude, ChatGPT or another assistant, which does the analysis in conversation.

9. GSC Wizard

Good at: asking one assistant about Search Console, GA4 and AI referral traffic together, on measured data only. The app and its hosted MCP server cover Search Console with multi-year history, GA4 including a dedicated LLM traffic report (sessions, engagement and key events from ChatGPT, Perplexity, Copilot, Gemini and Claude), a blended landing-page view that joins GSC clicks with GA4 outcomes per URL, and Bing Webmaster data. Query Analysis finds the AI Overviews and AI Mode conversation fragments hiding in your Search Console queries. Analysis runs server side, so the assistant gets computed figures rather than a truncated row dump, and it works in Claude, ChatGPT (as an app), Gemini, Grok and Cursor.

Watch for: it deliberately does no prompt tracking, so there is no share of voice in ChatGPT answers. It also does not yet read Search Console's Generative AI performance report or Bing's AI Performance report. If your stakeholders want brand presence in answers that produce no click, pair it with a tracker from this list. And it is ours.

Access: plans from €17/month with a 7-day free trial, MCP on every plan. See pricing.

10. A DIY MCP stack in Claude or ChatGPT

Good at: being free, or close to it. Google's official Google Analytics MCP server plus a community Search Console server gives an assistant layers 2 and 3 of your own data, and adding an answer tracker's MCP (Peec, Ahrefs Brand Radar or Conductor all have one) brings in layer 1. The assistant does the join in conversation. We compared the individual servers in the best SEO MCP servers.

Watch for: everything that "one place" was supposed to fix. Local servers need a Google Cloud project and service-account keys, they do not run in web clients, and the model joins datasets by URL string matching that breaks on trailing slashes and parameters. Nothing tells the model which numbers are measured and which are sampled. It works best for one analyst who knows exactly what they are asking.

Access: free servers, your own Google credentials, plus whatever the tracker costs.

Also considered

Three traps when you join the data

Three AI numbers that never reconcile

A prompt tracker says you appear in 38% of answers. Search Console says a page earned 12,000 AI impressions. GA4 says 410 sessions came from AI assistants. Each is right about its own question, and none can be derived from the others. The mistake is combining them into one "AI visibility score", which a tool or an assistant will happily do if asked. Report the three side by side with their source and date range, and explain which one moved.

The invisible Google AI click

Clicks from AI Overviews and AI Mode arrive in GA4 as ordinary Google organic traffic, and Search Console's Generative AI report shows impressions without clicks. So the single largest AI surface for most sites has no measured click number anywhere. Any tool that shows "AI traffic" from GA4 is showing assistant referrals only: ChatGPT, Perplexity, Gemini, Claude and Copilot. Google AI is missing from it, not zero.

Sampled numbers dressed as measured ones

Prompt visibility depends entirely on the prompts you picked, and a list of 25 can say anything you want it to. Several suites also show "AI traffic" from clickstream panels that look just like GA4 figures. Put either next to Search Console clicks in an unlabelled table and the reader, human or model, will assume they are the same kind of number. Require a source column in every report that mixes them.

Which one fits your team

Frequently asked questions