Jan-Willem Bobbink

Physics and SEO. Marketeer & Developer. Building GSC Wizard, Glippy and Eigentics

[Jan-Willem Bobbink @jwbobbink]

👋 New followers — welcome!

I’m Jan-Willem, an SEO consultant and builder focused on the intersection of SEO, AI search & AI optimization.

I share what I’m learning about:
🔎 SEO & technical SEO
🤖 Google, ChatGPT & AI search
📊 Search data & experiments
🚀 Building tools for the future of search like GSC Wizard MCP, Eigentics and more

Glad to have you here. Let’s connect!

[Jan-Willem Bobbink @jwbobbink]

@odedra_tarun @aleyda Working on that. There is a lot of noise from prompt trackers and query fan outs too. So we need to find a way to check whats human based

[Jan-Willem Bobbink @jwbobbink]

@tomcritchlow Filtered Search Console / Bing Webmaster tools data maybe?

[Jan-Willem Bobbink @jwbobbink]

@ScottShapiroUXD Its fun for the weekends

[Jan-Willem Bobbink @jwbobbink]

Some learnings to share: Building a Google Merchant Center MCP server: what the Merchant API doesn't tell you https://t.co/ay8RGp23cC #mcp

[Jan-Willem Bobbink @jwbobbink]

@searchmartin And one thing to add to that, every domain has different ratios. So first benchmark, then start using the numbers.

[Jan-Willem Bobbink @jwbobbink]

Merchant Center is now live in GSC Wizard. Search Console tells you how your product pages rank in Google, but it says very little about the free product listings that bring in a growing share of shop traffic. Merchant Centers own reports also make you dig to find out why a product isnt showing. I wanted both answers in one place, next to the Search Console data people already use GSC Wizard for.

The Organic Shopping report puts every free-listing click in one view, whether it came from the Shopping tab, Search, Images, Lens, YouTube or Maps. Next to performance there are three more tabs. The competitors tab shows who appears more often than you in each country and product category. The pricing tab puts Googles benchmark price beside yours, with a suggested price and the change in clicks Merchant Center predicts at that price. The demand tab lists the weeks best sellers in your market that you dont stock yet. The same report ranks your limited and disapproved products by click potential. It also separates the ones you can fix yourself from the ones waiting on Google, so you know where to start.

Feed Audit runs twenty-one checks on every product each month. It also crawls your product pages and compares them with what the feed says. Every run is kept, so you can see which fixes actually landed and whether your score is going up. Title Hygiene looks at title and description lengths, duplicate titles and repeated words across the whole catalog. GSC Merchant Listings shows your merchant listing and product snippet results from Search Console, with a filter to hide the search appearances that dont apply to your shop.

Everything is also in the GSC Wizard MCP server as ten shopping tools, so your AI assistant can do the routine work for you. The video shows two examples with a made-up outdoor shop as data. The first is a Monday morning prompt that goes through every problem product and turns the biggest issues into tickets. The second is a monthly report that compares the feed score and shopping clicks with the month before and suggests the next fix. If you run a shop, you can connect your Merchant Center account at https://t.co/zpcERwREKB

I'd love to hear what you would want me to add next.

#SEO #Ecommerce #GoogleMerchantCenter #GoogleSearchConsole

[Jan-Willem Bobbink @jwbobbink]

@furkanmersinliu @aleyda Nice work Furkan, always keep exploring because its the fun part of our work!

[Jan-Willem Bobbink @jwbobbink]

@RyanJones Great post, thanks!

[Jan-Willem Bobbink @jwbobbink]

Yes, but to be honest most of the available tools all do the same. I'm a happy and heavy MCP user so as long as the data quality is consistent and the MCP is all inclusive it suits my workflows.

On the end of the day all these tools collect the same kind of data, so look for the differences in analysis options they provide and how they make the data available.

[Jan-Willem Bobbink @jwbobbink]

@mjcachon @aleyda Never thought about the emojis, nice find!

[Jan-Willem Bobbink @jwbobbink]

@JHTScherck So much useless data in those side panels. Adds no value or additional context to the initial prompt

[Jan-Willem Bobbink @jwbobbink]

@gfiorelli1 Thanks mate! Glad its useful

[Jan-Willem Bobbink @jwbobbink]

@rustybrick Because the clicks are really, really low. So they can also just report nothing, haha! CTR in total is 2.9% on links shown. https://t.co/2JQOvluJpX

[Jan-Willem Bobbink @jwbobbink]

@Digi_Ingenuity @rustybrick Yeah, building your own classifier to filter them out works. In https://t.co/bUlk7NDjDW I have a default report for it now.

[Jan-Willem Bobbink @jwbobbink]

@brendenvonhouse @aleyda Thats exactly why I built the classified: getting rid of the noise

[Jan-Willem Bobbink @jwbobbink]

@yhyhyh72003 @jackson_llk And it runs server side analysis to minimize hallucinations

[Jan-Willem Bobbink @jwbobbink]

@lilyraynyc This will come back to haunt you 🤣

[Jan-Willem Bobbink @jwbobbink]

5/ Still only 0.13% of impressions. The growth is the story, not the size.

Every chart is free to reuse, with the data behind it.

[Jan-Willem Bobbink @jwbobbink]

1/ People are typing "yes" into Google.

Not searching. Answering AI Mode. And Search Console counts it as a query.

I analyzed 16 months of GSC data for 155 domains:
• replies to an AI: 21x
• follow-up questions: 39x
• clicked: 2.9%

https://t.co/2JQOvlvhfv

[Jan-Willem Bobbink @jwbobbink]

3/ The typical site's AI-shaped share went from 0.032% to 0.22% of impressions: 7x.

Pooled across all sites it fell, because a few huge sites dominate the total. The median is what you'll see in your own Search Console.

[Jan-Willem Bobbink @jwbobbink]

4/ Who says please to an AI?

German: "ja bitte", 75% of the time
Dutch: "graag", 67%
English: "yes please", 40%
Indonesian: 0%, just "ya"