Google Search Console (GSC) tells you which keywords bring people to your store. It shows impressions, clicks, click-through rates, and average position. You can see that a query like "best organic dog food" sent 400 clicks to your site last month. You can see that your category page ranks #4 for that term. You see what is driving traffic, but you don't know what is driving revenue. You can't see how many of those 400 clicks turned into orders, what those customers spent, or whether they were new or returning buyers.

Matching search queries to purchase data

GSC gives you the search side of the equation. ThoughtMetric gives you the commerce side (which of those visits turned into orders, what revenue they generated, and more).

Each tool does its job well, but neither gives you the full picture. Connecting them has always meant exporting spreadsheets and manually matching URLs, so they don’t even think to look into it.

AI connectors makes this analysis much easier

ThoughtMetric connects to ChatGPT and Claude through AI connectors, letting you query your attribution data in natural language. Instead of navigating dashboards and exporting reports, you ask a question and get an answer.

The workflow for combining GSC data with your attribution data looks like this:

Export your Google Search Console data for the time period you want to analyze (you can also copy and paste). The Pages report and the Search results report are the most useful. Copy the relevant rows.

Open ChatGPT or Claude with ThoughtMetric connected, and paste your GSC data into the conversation. Then ask the AI to cross-reference it with your ThoughtMetric data.

Here are a few examples of what you can ask once both datasets are in the same conversation:

"Here's my GSC data for the last 30 days. Which of these landing pages drove the most revenue in ThoughtMetric over the same period?"

"These are my top 20 organic keywords by clicks. Can you pull the conversion rate and total sales for the landing pages they point to?"

"Which of my organic landing pages have high impressions in GSC but low revenue in ThoughtMetric? I want to find pages that rank well but underperform on conversions."

"Compare my organic search revenue from ThoughtMetric against the GSC click data. Which keywords are sending high-intent traffic?"

The AI handles the matching. It reads your GSC export, identifies the landing page URLs, queries ThoughtMetric for revenue and order data on those same URLs, and gives you a combined view.

What this analysis reveals

There are a few patterns worth looking for.

High-ranking pages with low revenue. GSC shows a page getting thousands of impressions and hundreds of clicks, but ThoughtMetric shows it barely converts. That's a signal the page attracts browsers, not buyers. You might need to improve the product merchandising, add clearer CTAs, or reconsider whether the keyword targets the right intent.

Low-visibility pages with strong revenue. A page that barely shows up in GSC but converts well when people find it is a candidate for more SEO investment. Better internal linking, content improvements, or backlink building could push it higher in rankings and send more of that high-converting traffic.

New customer acquisition by keyword. ThoughtMetric breaks down orders by new versus returning customers. Combining that with GSC keyword data shows you which organic search terms bring in first-time buyers versus repeat customers searching for your brand name.

Google Search Console (GSC) tells you which keywords bring people to your store. It shows impressions, clicks, click-through rates, and average position. You can see that a query like "best organic dog food" sent 400 clicks to your site last month. You can see that your category page ranks #4 for that term. You see what is driving traffic, but you don't know what is driving revenue. You can't see how many of those 400 clicks turned into orders, what those customers spent, or whether they were new or returning buyers.