Yes, AI can build an SEO report from GA4 and Search Console, because both tools export their numbers for AI to write up. The AI writes the finished report, not just the numbers, and a person still checks it before it goes out. As of October 2026, tools like Codex (from ChatGPT) and Claude can write the report for a UK business owner, or for an SEO to send a client.

Google Analytics 4 (GA4) is Google's tool for counting visits to your website and what people do there. Google Search Console is Google's free report on how a site does in search.

The AI writes the report from numbers you've taken out of those two tools. That's a different job from getting AI to build reports inside GA4, which I've written up separately.

The data

  • Two ways out. The numbers leave Search Console and GA4 as files you export, or through read-only access you set up yourself.

The write-up

  • What changed. The AI picks out what moved this month and says it in plain English.
  • Why it probably happened. The AI suggests a cause for each change, and "probably" stays, because a suggestion isn't proof.
  • What to do next. The AI finishes on the next steps the numbers point to, not a shrug.

The finished report

  • Readable over a cuppa. A client can read the finished report in a few minutes, with the explaining already done.

From the data to a finished report

  1. The data

    Files you export from Search Console and GA4, or read-only access you set up

  2. The write-up

    What changed, why it probably happened and what to do next, in plain English

  3. The finished report

    Readable in a few minutes, checked by a person before it goes out

The AI writes the report from the numbers, not just the numbers themselves.

So if the AI writes the whole report, where does that leave the dashboard?

Do you still need Looker Studio for an SEO report?

No, you don't need Looker Studio for an SEO report, because AI can write the whole report from your Search Console and GA4 numbers. Looker Studio, which Google renamed Data Studio in April 2026, is Google's free tool for building dashboards, pages of charts drawn from your data. A dashboard shows the numbers and leaves the explaining to whoever reads it, while an AI-written report adds what the numbers mean and what to do next, checked by a person. A dashboard suits a client who checks the numbers between reports, and a monthly written report suits one who wants to be told what happened. Some clients get both.

When Looker Studio still fits

  • A live dashboard. A Looker Studio dashboard redraws its charts as new data comes in, so nobody rebuilds it each month.
  • A link a client can open any day. A Looker Studio dashboard is shared by link, so a client can have a look on a wet Tuesday without asking anyone.
  • Google's own data connectors. Looker Studio pulls in GA4 and Search Console data through Google's own connectors, ready-made links to each tool.
  • It's free. Looker Studio costs nothing to use, so a dashboard is cheap to try alongside a written report.

When an AI-written report fits

  • A monthly written report. An AI-written monthly report reaches the client who'll never open a dashboard, like a plumber who's under sinks all day.
  • Both. A dashboard and an AI-written report don't compete: one is for a nosy look mid-month, and the other says whether the month was any good.

Here's the thing. A chart showing clicks fell doesn't tell a business owner whether to worry. Was it a bank holiday, a page that slipped, or just a quiet month? Pile up charts nobody explains, in any tool, and you've got a padded report full of vanity graphs.

Dashboard or written report

Dashboard

  • The numbers
  • What they mean left to the reader
  • What's next left to the reader

Written report

  • The numbers
  • What they mean
  • What's next
A dashboard shows the numbers. A written report adds what they mean and what to do next, and some clients get both.

What should a monthly SEO report include?

A monthly SEO report should include a plain-English summary and next steps, plus Search Console's search numbers, GA4's organic visits and enquiries, and the work done. Put the summary first: what happened and why it probably happened. Then give the numbers, this month against last month and against the same month last year. Keep the work done in its own section, apart from the results, and finish on next steps. Each figure should say what it covers: organic visits are visits from search engines' unpaid results, and enquiries are only what the website's tracking records. Comparing with last year needs 13 months of data, and Search Console keeps 16 months. GA4 has to be set up to record enquiries before the report can count them.

  • A plain-English summary. A monthly SEO report's summary should make sense to someone who reads nothing else.
  • Search Console numbers. Search Console gives clicks, impressions (how often the site showed in Google's results), click-through rate (the share of people who saw the page in Google and clicked) and average position (where the site sat in the results, on average), plus top searches and pages.
  • GA4 visits and enquiries. In GA4, a thank-you page view is a website confirmation, not proof of a sale or an accepted application, so an enquiry figure built on one should say so.
  • Work done, kept apart from results. A report listing several changes beside one rise in clicks can't credit any of them, so the results say "coincided with", not "because of".
  • Month on month and year on year. Month on month catches a sudden change, and year on year stops a seasonal business panicking: a Christmas tree farm's January looks dire next to December and normal next to last January.
  • Next steps. Pages with lots of impressions but few clicks are quick-win candidates for rewriting their titles and descriptions with AI, and pages losing clicks month after month need a look.
  • AI search visibility. Search Console's generative AI performance report counts impressions only, meaning how often links to the site showed in Google's AI Overviews and AI Mode, and it has its own export button.

Whatever the report shows, clicks aren't enquiries. A month of record clicks and no extra enquiries is a nice graph, not a good month.

Here's how that summary might read for a made-up plumber in a made-up town. It's an example, not a client's report:

September in short. Clicks from Google rose from 380 in August to 437 (up 57), and the site showed in Google's results 10,450 times, against 9,200 (up 1,250). Colder weather bringing more boiler searches probably helped, and the rise coincided with the new boiler servicing page going live. These numbers can't say which did more. Enquiry forms from people who came through search, not ads, went from 14 to 19 (up 5). Those are forms sent, counted by visits to the thank-you page, not booked jobs. Next step: the boiler repair page showed up in lots of searches but got few clicks, so its title and description are first in line for a rewrite.

How do you get GA4 and Search Console data into AI?

You get GA4 and Search Console data into AI by exporting the reports as files, or by giving it read-only access through Google's APIs. An API is a connection Google provides so software can fetch the numbers from GA4 and Search Console, and read-only means the AI can read the data but not change it. Read-only access through the APIs takes some technical set-up, so exporting files is the simpler start for most business owners. In GA4, open the report you need, choose Share this report, then Download File, and pick CSV or Google Sheets. In Search Console, use the export button on the Performance report. Then give the AI both files and a written brief. Either way, you need your own access to both tools, and the brief written down first: which months, which comparisons and who reads the report.

  • Export and upload. Search Console's export button downloads the chart and table data together, and GA4's own download gives PDF, CSV or Google Sheets, with up to 100,000 rows in a CSV or Sheets file. Either way, the AI only sees what you chose to export.
  • Read-only access. The Google Analytics Data API and the Search Console API each have a read-only option, but setting one up is a technical job, not a switch you flip in GA4. The Search Console API also returns only the top rows, not every row.
  • Search Console linked in GA4. Linking Search Console to GA4 adds two reports inside GA4, one for searches and one for landing pages (the pages visitors arrive on), with the data turning up 48 hours after Search Console collects it.
  • GA4's scheduled emails. An admin can have GA4 email a standard or custom report as a PDF or CSV on a schedule, but that sends the numbers, not a written report.
  • The browser route. An AI tool can also click through GA4 in your logged-in browser, which is how my GA4 Explore job ran.

The GA4 Explore post's line "A chatbot without browser control can only advise" was about building Explore reports, which is all clicking. Reading exported files is a different job, and a chatbot needs no browser for it.

Then the brief. You don't need a clever prompt. You need the job written down in plain words. Here's a suggested brief, not one taken from a real job:

Write a monthly SEO report for [business] from the attached Search Console and GA4 files.

Cover [month], compared with [the month before] and [the same month last year].

It's for [reader], who isn't an SEO, so use plain English.

Start with a short summary, then the Search Console numbers, GA4's organic visits and enquiries, the work done (kept apart from the results) and next steps.

Use these totals from the tools' own screens, not a sum of the table: [totals]. Say what each figure covers. Label anything you can't check.

Keep me updated. If you're unsure, ask me. If you're stuck, ask me. Don't change any tracking, settings or user access without asking me first.

As of October 2026, Codex and Claude can both work from a brief like that. Use whichever you've already got.

Is it safe to give AI access to Google Analytics and Search Console?

Yes, it's usually safe to give AI access to Google Analytics and Search Console, because you decide how much the AI can see and change. A Search Console Restricted user has simple view rights on most data and can't add users, change settings or submit sitemaps. A GA4 Viewer can see settings and data but can still create explorations, which are custom reports, and edit or delete their own. An AI given exported files needs no account access. An AI in your logged-in browser acts with your login, so a view-only login is safer for a reading job. Don't let the AI change who has access. Client reports shared read-only with existing users only, and no new users added: those were two of the four rules set for Codex as it built 11 Explore reports inside GA4 on IvI SEO's job for a UK financial services company.

  • You log in, not the AI. One of my GA4 guardrails applies to any AI in your browser: "It works inside your session. It never needs your password."
  • Give view-only access. For a reading job, pick Restricted user in Search Console and Viewer in GA4. A GA4 Viewer can still change which data appears in a report, by adding a comparison, for example, and can create explorations too.
  • Exports keep the AI out of your accounts. Downloading a GA4 report needs only the Viewer role, so whoever exports needs view-only access and the AI needs none. An AI in your browser is different: whatever your login can delete, it can delete too.
  • Build new things as private first. A view-only GA4 login can still create explorations, so anything the AI builds stays private until a person has checked it.
  • Don't touch who has access. Who sees a client's data is the client's call, so this rule from the full set of guardrails I'd give AI in GA4 stands: "Share with people who already have access, read-only. Don't add users or change permissions."

Is that the whole story? No. Access is one half of safety. The other half is what an AI company keeps from the files you upload, and no GA4 or Search Console setting can answer that.

What should you check before an AI-written SEO report goes to a client?

Check an AI-written SEO report's totals and date ranges against Search Console and GA4 before it goes to a client. Take each total from the tools' own screens, not an AI sum of an export: Search Console's table shows at most 1,000 rows and leaves out rare searches its chart total includes. Check each date range covers the month you mean, as the newest data can still change. Expect GA4 and Search Console to differ, since they count differently. Then have someone or something that didn't write the report check every reason it gives against what actually happened in the business. Three mistakes in the first AI's work were found by five fresh AI checkers when IvI SEO bulk-rewrote a UK life sciences company's meta titles and descriptions, and all three were fixed before anything went live.

  • Check totals against the tools' own screens. Anonymised searches are ones so rare that Google keeps them out of Search Console's table to protect searchers' privacy, though the chart total still counts them. Hand an AI the table and it will add up the rows and call that the total.
  • Expect GA4 and Search Console to differ. The reasons GA4 and Search Console can differ are dull ones: Search Console removes duplicates and works in Pacific Time by default, and GA4 only counts visitors whose browsers run JavaScript. So don't let the AI force the two to agree.
  • Check the date ranges and the lag. Search Console data normally takes 2 to 3 days to arrive and the newest days can still change, so a report run on the 1st may not be final. New tracking can also take a while to show up in GA4's reports, so a form added yesterday may still look empty. A saved date range doesn't roll forward by itself, either.
  • Label what you can't check. If something in an AI-written report can't be verified, the AI should say so in the report, not just in the chat, so the client sees it too.
  • Count with a formula, not by asking. Every total and change in an AI-written report should come from a sum you can rerun, because AI is better at sounding right than at counting. That's how the checks worked on my meta rewrite job.
  • You do the judgement. An AI reading the numbers can't know if the business was shut for a week or a van was off the road, so choosing the reason that fits is a person's job.

One rule covers the lot. Don't let the AI mark its own homework.

Want a hand working out what your SEO numbers mean?

You can get a hand working out what your SEO numbers mean, or try an AI-written report yourself with your Search Console and GA4 exports. The help comes from IvI SEO's local SEO service, with an honest steer on which SEO numbers matter for enquiries and which don't. Doing it yourself takes those exports and a plain written brief saying which months to compare and who reads the report. The checks are the same whoever writes the report: totals and date ranges against the tools' own screens, and every reason against what really happened. Neither route can promise more enquiries. The DIY route is a sound place to start.

Everything you need to try it yourself is on this page: what goes in the report, a starter brief and the checks before it goes out. (Giving the brief away for nothing isn't my sharpest business move, but there we are.)

Would you rather talk your numbers through with someone? Have a look at IvI SEO's local SEO service, and I'll tell you honestly which numbers are worth tracking and which aren't.

The AI writes it. A person signs it off.