u/nic2x

Background: Google recently finished rolling out the new Search Console feature that lets you track the performance of a brand’s social media profiles and content.

You can now see the queries, positions, clicks, and impressions associated with social profiles. You can also see which posts and videos are ranking for those queries.

I run an SEO agency, and we use search demand to come up with content ideas. And with more and more social media ranking in Google, we also started to create an opportunity list to clients so that they can share with their social media for content idea suggestion.

This new data could also help connect SEO research with social content planning. It could also show clients the additional search visibility created by their social content.

I am still working out how useful this will be in practice, especially for reporting and attribution.

For other agency owners (especially SMMA):

• Are you planning to include this data in client reports?
• Are clients already asking about their social visibility in Google?
• How would you separate the agency’s contribution from visibility created by the client’s existing social team?
• Do you see this mainly as a reporting feature, or could it change how you research and plan content?
• Would you use this data to decide whether an idea should become a blog post, social post, video, or multiple formats?
• What limitations or misleading conclusions should agencies watch out for?

I would be interested in hearing how people are turning this data into actual decisions instead of adding another chart to a report.

Drop your website in the comments or send me a DM, and I’ll use the tool I’m building to find the best customer profile for your SaaS.

It works by checking whether AI assistants (ChatGPT, Claude, Gemini, AI Overviews) recommend or advise against your business when different buyer personas ask for a solution.

Problem I see personally is most tools only count brand mentions. But a mention isn’t automatically a good thing.

ChatGPT can bring your brand up and then tell the buyer to go with a competitor (or warn them you’re not built for their use case).

That still shows up as a mention in most dashboards, so you end up tracking a number that is actually costing you deals.

I’m building a tool to measure the stance behind the mention, not just the mention itself. It checks how likely each model is to recommend you, stay neutral, or steer buyers away, and it splits that by persona.

When the answer is bad, it shows you which narrative is causing it and what to change so AI starts recommending you instead.

Drop your URL in the comments (or DM me if you’d rather not post it publicly) and I’ll send back what I find.

This is totally free no strings. I get to test on your sites, you get to see what AI is actually saying about you.

Drop your website in the comments or send me a DM, and I’ll use the tool I’m building to find the best customer profile for your SaaS.

It works by checking whether AI assistants (ChatGPT, Claude, Gemini, AI Overviews) recommend or advise against your business when different buyer personas ask for a solution.

Problem I see personally is most tools only count brand mentions. But a mention isn’t automatically a good thing.

ChatGPT can bring your brand up and then tell the buyer to go with a competitor (or warn them you’re not built for their use case).

That still shows up as a mention in most dashboards, so you end up tracking a number that is actually costing you deals.

I’m building a tool to measure the stance behind the mention, not just the mention itself. It checks how likely each model is to recommend you, stay neutral, or steer buyers away, and it splits that by persona.

When the answer is bad, it shows you which narrative is causing it and what to change so AI starts recommending you instead.

Drop your URL in the comments (or DM me if you’d rather not post it publicly) and I’ll send back what I find.
This is totally free no strings. I get to test on your sites, you get to see what AI is actually saying about you.

Curious if anyone else is combining Bing Webmaster Tools (BWT) and Google Search Console (GSC) data into a single analysis.

I've been pulling both datasets through their respective APIs and merging them at the query, page, and date level. That gives me a unified dashboard with aggregated metrics (total clicks, impressions, etc.) across both search engines. One thing that surprised me: some queries are actually pulling in more clicks from Bing than from Google.

For anyone who's already doing this, how are you structuring your dashboard? And which metrics do you find most worth tracking once the two datasets are combined?

Curious if anyone else is combining Bing Webmaster Tools (BWT) and Google Search Console (GSC) data into a single analysis.

I've been pulling both datasets through their respective APIs and merging them at the query, page, and date level. That gives me a unified dashboard with aggregated metrics (total clicks, impressions, etc.) across both search engines. One thing that surprised me: some queries are actually pulling in more clicks from Bing than from Google.

For anyone who's already doing this, how are you structuring your dashboard? And which metrics do you find most worth tracking once the two datasets are combined?

Curious if anyone else is combining Bing Webmaster Tools (BWT) and Google Search Console (GSC) data into a single analysis.

I've been pulling both datasets through their respective APIs and merging them at the query, page, and date level. That gives me a unified dashboard with aggregated metrics (total clicks, impressions, etc.) across both search engines. One thing that surprised me: some queries are actually pulling in more clicks from Bing than from Google.

For anyone who's already doing this, how are you structuring your dashboard? And which metrics do you find most worth tracking once the two datasets are combined?

Curious if anyone else is combining Bing Webmaster Tools (BWT) and Google Search Console (GSC) data into a single analysis.

I've been pulling both datasets through their respective APIs and merging them at the query, page, and date level. That gives me a unified dashboard with aggregated metrics (total clicks, impressions, etc.) across both search engines. One thing that surprised me: some queries are actually pulling in more clicks from Bing than from Google.

For anyone who's already doing this, how are you structuring your dashboard? And which metrics do you find most worth tracking once the two datasets are combined?

I run a boutique SEO agency and so far all my new client acquisition has come from referrals. I'm looking to diversify that.

Some of my existing clients have started asking for adjacent services like PR and Google Ads. Since those are close to what I already do, I'm thinking about setting up an affiliate program so I can partner with specialized agencies in those areas and refer clients back and forth.

The problem: I have zero experience building an affiliate program. For those of you who've set one up successfully, I'd love to hear:

• What software do you use to track affiliates (referral links vs. discount codes vs. something else)?
• How do you handle payouts and commission structures?
• Does your platform also handle contracts/document signing, or do you manage that separately?

Really just trying to understand the full operational side of running one of these, not just the theory. Any recommendations or war stories appreciated!