How to Create an SEO Report in Google Analytics with AI

Cody Schneider8 min read

Building an SEO report from Google Analytics often feels like a chore. You spend hours navigating reports, filtering data, exporting CSVs, and wrestling with spreadsheets to answer basic questions. This article will show you a much faster way, using AI to get the SEO insights you need from your Google Analytics data in seconds instead of hours.

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First, Why Do You Need an SEO Report?

An SEO report is more than just a list of metrics, it’s a story about your website's performance in search engines. A good report helps you understand what’s working, spot opportunities for growth, and demonstrate the value of your SEO efforts to stakeholders, clients, or your boss. It transforms raw data into a clear plan of action.

Without regular reporting, you’re flying blind. You won’t know if your new content is ranking, if a Google update has impacted your traffic, or which keywords are actually driving conversions. A consistent report is your roadmap, showing you where you’ve been and guiding where you should go next.

The Core SEO Metrics Inside Google Analytics 4

To build a useful report, you need to know what to track. Google Analytics 4 is packed with data, but finding the metrics that matter for SEO can be tricky if you don't know where to look. Here are the essential reports and metrics you should focus on.

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1. Traffic Acquisition Report

This is your starting point. It tells you exactly where your website visitors are coming from. For SEO, you’re primarily interested in traffic from organic channels.

How to find it:

  1. On the left-hand menu, go to Reports > Acquisition > Traffic acquisition.
  2. This report groups traffic by "Session default channel group." Look for the rows labeled Organic Search, Organic Social, and Organic Video. These represent visitors who found you through unpaid search results on engines like Google or social platforms like YouTube.

Here, you'll want to analyze metrics like:

  • Users/Sessions: How many people are coming to your site from organic search? Is this number growing over time?
  • Engaged sessions & Engagement rate: Are these visitors sticking around? A high engagement rate suggests you're attracting the right audience with relevant content.
  • Conversions: Most importantly, is your organic traffic converting? Track key events like form submissions, purchases, or sign-ups to measure the true business impact of your SEO.

2. Landing Page Report

While the Traffic Acquisition report shows you where users come from, the Landing Page report shows you which pages they're arriving on. This is critical for understanding which pieces of content are your strongest SEO assets.

How to find it:

  1. Go to Reports > Engagement > Landing page.
  2. This report shows you all landing pages by default. To focus on SEO, you need to add a filter. Click "Add filter" at the top, and create a filter where "Session default channel group" exactly matches "Organic Search."

By analyzing this filtered report, you can answer questions like:

  • Which blog posts or pages attract the most organic traffic?
  • Which pages have the highest engagement rates? These are your superstars.
  • Which high-traffic pages have low conversion rates? These represent a huge opportunity for optimization.

3. Integrating Google Search Console

One key piece of data GA4 lacks on its own is search query information - the exact keywords people typed into Google to find your site. To get this, you must link your Google Search Console (GSC) account to GA4.

Once linked, two new reports will appear in your GA4 library: "Google organic search traffic" and "Queries." These reports let you see which keywords are driving clicks and impressions, allowing you to connect user intent directly to on-site behavior.

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The Manual Way: How Most People Build SEO Reports

Now that you know which metrics matter, let’s walk through the "traditional" process of creating an SEO report. If this feels painfully familiar, don’t worry - there’s a much better way.

  1. Log into GA4: Go to the Traffic Acquisition report. Set your date range. Filter for "Organic Search." Export the data to a CSV file.
  2. Get Landing Page Data: Go to the Landing Page report. Set the same date range. Add the Organic Search filter. Export this to a separate CSV.
  3. Log into Google Search Console: Go to the Performance report. Set the date range. Export your query data to another CSV.
  4. Head to Spreadsheets: Open all three CSVs in Google Sheets or Excel.
  5. Clean and Combine: Start copying and pasting data. VLOOKUP might be involved. You need to standardize date formats and merge data from different sources into one comprehensible table.
  6. Create Visualizations: Build pivot tables to summarize the data. Create line charts for trends, bar charts for comparisons, and tables for top pages and queries.
  7. Add Your Analysis: Write a few paragraphs explaining what the numbers mean, highlighting wins, and pointing out areas for improvement.
  8. Repeat Next Week: Do it all over again next week, and the week after that.

This manual process burns hours every week. It's tedious, mind-numbing, and easy to make a small error that throws off your entire report. The data is also static - by the time you share it, it’s already out of date.

The AI-Powered Way: Ditching Spreadsheets for Natural Language

Imagine if, instead of that tedious 8-step process, you could just ask for what you need in plain English. That’s the power of AI-driven analytics. Instead of hunting through reports and wrangling data, you simply describe the report or chart you want, and an AI data analyst builds it for you instantly.

How it Works

Tools built for this purpose connect directly to your data sources like Google Analytics, Shopify, and social media platforms. Once connected, they create a semantic layer that gives the AI a deep understanding of your data schema. When you ask a question, the AI knows exactly what "organic sessions," "landing page," or "conversion rate" means in the context of GA4.

You can ask specific questions and get immediate answers, visualized for you automatically.

Example Prompts for an Instant SEO Report:

  • "Show me a line chart of my organic sessions from Google Analytics for the last 90 days."
  • "Create a table of my top 10 landing pages by organic users this month."
  • "Compare organic traffic this quarter to last quarter."
  • "What was my organic search conversion rate in January?"
  • "Build me an SEO dashboard showing organic sessions, top organic landing pages, and sessions by country for the past 30 days."

The AI handles all the work of finding the data, filtering it, and creating the right chart or table in a live, interactive dashboard. Your weekly reporting goes from a 2-hour task to a 30-second prompt.

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The Real Benefits of Using AI

  • Drastic Time Savings: Get your report in seconds, not hours. Free up your time to focus on strategy and execution, instead of just data collection.
  • No Technical Expertise Required: You don't need to be a spreadsheet guru or a GA4 expert. If you can type a question, you can analyze your data. This makes data accessible to everyone on the marketing team, not just the analytics lead.
  • Always-On, Real-Time Data: Unlike static spreadsheet reports, AI-generated dashboards are connected live to your Google Analytics account. The data is always current, so you're making decisions based on what's happening right now, not last week.
  • Uncover Deeper Insights: When a report only takes seconds to generate, you can ask follow-up questions just as quickly. After seeing your top landing pages, you might ask, "For my top landing page, show me the engagement rate by device." This kind of iterative analysis fosters curiosity and helps you uncover insights you would have missed otherwise.

Moving From "What" Happened to "Why" it Happened

The biggest leap AI offers is moving beyond simple data pulling to actual analysis. Traditional reporting tells you what happened (e.g., "Organic traffic increased by 15%"). An AI data analyst can help you understand why. It can function as a brainstorming partner, spotting trends and proposing explanations.

For example, you could ask more analytical questions:

  • "Why did my bounce rate on the homepage spike last Tuesday?" The AI could analyze traffic sources and device types to suggest a recent mobile UI change might be the cause.
  • "Summarize my main SEO opportunities based on last month's data." It might recommend optimizing low-converting, high-traffic pages or creating content around high-impression keywords you aren't ranking for yet.
  • "Which keywords are driving traffic but have a low engagement rate?" This immediately highlights a mismatch between user intent and your content.

This is where AI transforms from a simple reporting tool into a genuine strategic asset. It helps you connect the dots without needing years of experience as a data scientist.

Final Thoughts

Manually creating SEO reports with data from Google Analytics is an outdated, inefficient process that holds marketing teams back. It forces you to spend more time working for your data than your data works for you. By leveraging AI, you can automate this entire workflow, turning an hours-long chore into an instant conversation.

To make this a reality for marketing and sales teams, we built Graphed. We connect directly to sources like Google Analytics, Shopify, and Facebook Ads, letting you build live dashboards and get instant answers using simple natural language. Instead of exporting CSVs or learning a complex BI tool, you can just ask questions and get real-time insights, empowering your whole team to make smarter, data-driven decisions without the usual manual work.

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