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6 AI Prompts for Advanced SEO Reporting Using Google Search Console

Recently, Google has introduced an AI-powered configuration allowing you to quickly get the traffic data for your reporting or analysis from the Google Search Console account.

Next step on this topic: export keyword ranking data for reporting.

Below are six helpful AI prompts that we use ourselves, which help us quickly read the traffic trends, align them with our expectations and strategies, and discover possible issues such as penalties or signs of critical technical issues causing traffic declines, and evaluate the overall performance of the site and where to spend resources to improve the performance.

1. Show me the total traffic chart for the last 13 full months, grouped by month

First, we write a prompt, let the AI compile a request, then hit the “Apply” button and wait for the results to appear.

Prompt

AI-powered configuration in Google Search Console - Prompt 1
AI-powered configuration in Google Search Console – Prompt 1

Request results

For some reason, it didn’t group the results by month, so we need to select it manually in the top right corner of the chart.

Daily traffic chart for the last 13 months
Daily traffic chart for the last 13 months

Adjusted results

Monthly traffic chart for the last 13 full months
Monthly traffic chart for the last 13 full months

2. Show me the average position YoY for the last 3 months for the following exact match keywords

For this analysis, we selected a group of top traffic-driving keywords that we actively track for one of our clients. The rankings for these keywords usually represent the overall health of the website.

Keywords used

  • framed wall art
  • framed prints
  • classical art examples
  • dan campanelli prints
  • classical artists painters

Prompt

AI-powered configuration in Google Search Console - Prompt 2
AI-powered configuration in Google Search Console – Prompt 2

Request results

As we can see below, the rankings have been stable for the last 3 months, and the average position was better compared to the same period of last year. This is a good sign, meaning there were no critical anomalies in the visibility that would cause the traffic drops.

Average keyword position YoY for the last 3 months - selected exact match keywords
Average keyword position YoY for the last 3 months – selected exact match keywords

3. How was my website’s branded traffic performing YoY for the last 30 days?

This prompt helps assess brand demand and branded search visibility.

Prompt

AI-powered configuration in Google Search Console - Prompt 3
AI-powered configuration in Google Search Console – Prompt 3

Request results

Based on the results we get from this request, the number of branded clicks is significantly lower, though the number of impressions is comparatively stable (slightly lower YoY).

This pattern usually points to one or more of the following factors:

  • Paid campaigns push organic results lower and make people click on sponsored listings
  • Increased competition from advertisers bidding on the brand’s keywords
  • A moderate decline in overall branded search demand

Lower search demand (fewer impressions this year) contributes to this too, but less than the first two factors.

Branded traffic chart - last 30 days, YoY
Branded traffic chart – last 30 days, YoY

4. How was my website’s non-branded traffic performing YoY for the last 30 days?

Prompt

AI-powered configuration in Google Search Console - Prompt 4
AI-powered configuration in Google Search Console – Prompt 4

Request results

Non-branded traffic has been more or less stable for the last 3 months, but it went down YoY around February 14th, right when Google made an unconfirmed update that impacted many websites too. The reasons for the decline need to be investigated further, which we will put on the task list.

Non-branded traffic chart - last 30 days, YoY
Non-branded traffic chart – last 30 days, YoY

Semrush Sensor shows a spike in SERP volatility around the same dates.

Sensor by Semrush
Sensor by Semrush

5. What are the traffic trends for Merchant Listings vs. Product Snippets for the last 30 days?

This prompt allows us to compare performance between Product Snippets and Merchant Listings.

Prompt

AI-powered configuration in Google Search Console - Prompt 5
AI-powered configuration in Google Search Console – Prompt 5

Request results

There were no anomalies detected either for Product Snippets or Merchant Listings. However, Merchant Listings had significantly lower traffic compared to standard Product Snippets, despite (often) better visibility of the Popular Products SERP features in Google search results.

This raises several important follow-up questions:

  • Which products are currently submitted to Google Merchant Center?
  • Are key products missing from the feed?
  • Are any products disapproved or limited due to policy or data quality issues?

These are just a few ideas on the surface.

Merchant Listings vs Product Snippets - last 30 days
Merchant Listings vs Product Snippets – last 30 days

6. What are the traffic trends for Web vs. Image search results for the last 30 days?

Prompt

AI-powered configuration in Google Search Console - Prompt 6
AI-powered configuration in Google Search Console – Prompt 6

Request results

No anomalies have been detected for the last 30 days. Image traffic is slightly lower compared to the Web traffic, but it almost reaches the Web traffic.

Web vs Image traffic - last 30 days
Web vs Image traffic – last 30 days

We can expand the chart to 12 months and group it by month to understand the trends better.

Indeed, the traffic from Image search is growing faster, with a simultaneous small decline on the Web chart. Which means users gradually move to Image search for this site, and image optimization (XML sitemaps, image sizes, quality, approval by Google in the Merchant Center account, etc.) becomes more important.

Web vs Image traffic - last 13 months
Web vs Image traffic – last 13 months

Conclusion

AI-powered insights in Google Search Console make it significantly easier to identify performance trends, validate SEO assumptions, and detect early warning signs before they turn into major issues. When used effectively, these prompts help SEO teams move faster, focus on the right metrics, and make informed, data-driven decisions without relying solely on manual reporting.

That said, surface-level insights are only the starting point. To fully understand the performance changes and how to respond, Google Search Console data should be combined with technical audits, competitor analysis, algorithm monitoring, and custom dashboards.

About the author

Anatolii Oslovskyi is a Senior SEO Engineer at Rankability, a UAE-based SEO and digital marketing agency. He helps brands grow through social media, organic search, and paid search. You can follow him on X (formerly Twitter): x.com/seomonkua.

Bottom line: AI prompts can turn raw Google Search Console data into clear, client-ready SEO reports in minutes instead of hours. The trick is asking specific questions about clicks, impressions, and query trends rather than requesting a generic summary.

Frequently asked questions

What data should I export from Google Search Console before using AI prompts?

Export your Performance report covering queries, pages, clicks, impressions, CTR, and average position, ideally for the last three to six months so the AI has enough history to spot trends.

Can AI tools replace manual SEO analysis entirely?

No. AI speeds up pattern spotting and drafting, but you still need human judgment to interpret business context, prioritise fixes, and validate anything unusual in the numbers.

Which AI tools work best for Google Search Console reporting?

ChatGPT, Claude, and Gemini all handle CSV or pasted data well. Choose based on which one you already use, since prompt quality matters more than the specific tool.

How often should I run these AI-assisted SEO reports?

Monthly reporting works for most sites, though weekly checks are useful during a migration, redesign, or after major algorithm updates when quick detection matters.

Published and maintained by the Lilach Bullock team, covering marketing, AI and business growth.
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