DataEase AI connects to 4 things: MCP for your own AI tools, Google Search Console for indexing, GA4 for AI referral visits, and Cloudflare for crawler logs across 28 AI crawlers. Three work on any plan; MCP access is Business only.
100 free credits. No credit card, no trial timer.
Four things: MCP access for your own AI tools, Google Search Console for index coverage, GA4 for visits and visits from AI referrers, and Cloudflare for logging 28 AI crawlers at the edge. Three connect on any plan; MCP access is Business only.
This is a deliberately short list. There is no plugin directory and no long tail of half-maintained connectors, because each of these four exists to supply a specific signal that a scan cannot produce on its own. Everything else DataEase AI reports comes from its own crawls and from querying AI assistants directly.
Query your brand presence data from your own AI tools instead of the dashboard. Business plan only.
Index coverage for your audited pages, on 7, 28 and 90 day trend windows. Available on any plan.
Visits, and visits arriving from AI referrers. Two of the six signals tracked after a fix. Any plan.
A small Worker on your existing zone that logs hits from 28 AI crawlers. About 5 minutes on the free plan.
| Integration | What it supplies | Plan needed |
|---|---|---|
| MCP access | Direct query access to your brand presence data from your own AI tools | Business |
| Google Search Console | Index coverage on 7, 28 and 90 day windows | Any plan |
| GA4 | Visits and visits from AI referrers | Any plan |
| Cloudflare Worker | Edge logs for 28 AI crawlers | Any plan |
MCP is the Model Context Protocol. It lets your own AI tools query your brand presence data directly rather than through the dashboard. It is on the Business plan only, at $449 a month or $4,490 a year, which is about $374 a month.
The practical difference is who does the asking. Without MCP, you open the app and read a chart. With MCP, an assistant you already use can pull the underlying brand presence data and answer a question in your own words: which competitor gained ground this month, which pages have open findings, what changed since the last scan.
That is why it sits on Business rather than being a starter feature. The plan is aimed at agencies and multi-brand operators who are already automating around their data, and it comes alongside unlimited brands, unlimited seats, and the 2 extra AI assistants (Claude and Grok) that take coverage to 5 in total.
Pay As You Go and Growth do not include MCP access. Everything else on this page is available to them. Full limits per tier are on the DataEase AI pricing page.
You authorise the property with Google from your brand settings, and DataEase AI reads index coverage for your audited pages across 3 trend windows: 7, 28 and 90 days. Indexing is one of the 6 signals compared as a matched pair after a fix.
Index coverage is the least glamorous of the four integrations and the one that catches the most embarrassing problems. A page that is not indexed is a page most retrieval paths never reach, and the reasons are usually boring: a stray noindex tag, a canonical pointing somewhere unhelpful, a redirect chain nobody remembers adding.
Three windows exist because indexing moves slowly. The 7 day view tells you what just happened, 28 days shows the current state of play, and 90 days is where a slow drift becomes obvious. What Search Console cannot tell you is whether an AI assistant read the page, which is the gap the Cloudflare Worker fills.
GA4 supplies the human side. DataEase AI reads total visits and visits from AI referrers, which are 2 of the 6 tracked outcome signals. It cannot see AI crawlers, because bots such as GPTBot never run the JavaScript that GA4 depends on.
Visits from AI is the number most founders actually want. It is the count of people who arrived on your site from an AI assistant, which is the closest thing there is to a commercial receipt for AI visibility work: somebody asked a question, your name came up, and they clicked through.
Total visits sits next to it as context. On its own it is the noisiest signal on the page, because a launch or a newsletter can swamp anything a schema fix did. Read as a pair, they separate a general traffic bump from a genuine shift in how you are being discovered.
The limit is worth being blunt about. GA4 only sees browsers running JavaScript, so a site can be fetched heavily by AI crawlers and show nothing at all in GA4. That is a property of the tag, not a configuration mistake, and it is exactly why the fourth integration exists.
With a small Worker on the zone you already run. It reads the user agent of each request, records hits from 28 AI crawlers, then passes the request through to your origin unchanged. Setup is about 5 minutes and the Cloudflare free plan is enough.
Crawler requests never reach a browser, so they never reach a tag. They exist only in server or edge logs, which is why the capture point has to be the edge. The Worker is one script and one route, it adds nothing you would notice to response times, and it does not change what your visitors receive.
What you get back is the crawl side of the story: visits by bot over time, how often each page is re-fetched, and the coverage gaps where important pages are never fetched at all. One busy brand logged roughly 335,000 crawler visits in 30 days, which is traffic that had been completely invisible in its analytics.
The full breakdown of which bots these are and how to read the numbers is on the AI crawler analytics page. AI bot crawls is also one of the 6 signals used in outcome tracking, so this is the integration that tells you whether a page you fixed was ever re-read.
No. All 4 are optional and DataEase AI scans without any of them. They matter for outcome tracking: 4 of the 6 signals compared after a fix come from GA4, Search Console and Cloudflare rather than from the scan itself.
A sensible order exists. Connect GA4 first, because visits from AI is the signal that turns a visibility score into something a founder can talk about with a board. Add Search Console next, since index coverage is cheap to connect and catches technical problems that quietly cost you retrieval. Add the Cloudflare Worker when you want to know whether AI systems are actually reading you rather than inferring it.
MCP comes last, and only if you are on Business and already building your own tooling around the data. It is a power feature, not a prerequisite.
With none of them connected you still get the core of the platform: audits, competitor benchmarking, and how ChatGPT, Perplexity and Gemini describe you. Connect them and you can also answer the harder question of whether a change you shipped moved anything, which is what proving an AI visibility fix worked is about.
Which of the 28 crawlers read your site, how often they return, and what they never fetch. ->
The fix ledger and matched-pair measurement these integrations feed after a change ships. ->
Which tier includes MCP access, scheduled agents, and how many pages each audit covers. ->
Start scanning with nothing connected, then add GA4, Search Console and a 5 minute Cloudflare Worker when you want outcomes you can measure. 100 free credits. No credit card, no trial timer.
Last updated: August 18, 2026 - Reviewed by the DataEase AI editorial team