Five Minute Findings

Five things from the last month worth knowing if you sell online, each readable in about a minute.

This month has a theme, mostly by accident: measurement. Gemini has started labelling the traffic it sends, ChatGPT ads have reached Europe, an SEO veteran explains why you should check what AI does to your site, and Kevin Indig argues attribution is collapsing. Plus Bing is trying out a small blue box.

MINUTE 1
CATHAL SAUNDERS OCTOBER 7, 2026

Gemini has started labelling the traffic it sends you

Source: Search Engine Journal

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1 MINUTE SUMMARY

Google has quietly started adding UTM parameters to links in Gemini. These are the tags at the end of a URL that tell your analytics where a visitor came from. Handy when looking in GA4.

Until now, a lot of Gemini traffic has landed in ‘direct’ as a channel in GA4. Imagine Direct is a bit like the kitchen drawer full of batteries, takeaway menus, and a key nobody recognises, it’s where Google Analytics puts visitors it can’t explain.

A Reddit user spotted the change first. Google’s John Mueller confirmed he could see it too.

Gemini already passed referrer data, but one Reddit user said it mostly survives on desktop and gets lost in the mobile app and on Android.

Google hasn’t documented it. So we don’t yet know which Gemini links get tagged. ChatGPT, for comparison, only tags links in answers drawn from live web sources.

Key Conclusion

If someone asks ‘how much traffic do we get from AI?’, you’re about to get a better answer. Well, in part.

Over the next few weeks, check GA4 for sessions tagged as coming from Gemini. If you haven’t already, set up a custom channel group that puts AI assistants together so that you can compare them against organic search.

One warning. If Gemini traffic suddenly jumps, that probably isn’t growth. It’s the same visitors, finally wearing the right name badges. Expect direct traffic to dip by a similar amount, and don’t report either change as a win or a loss until you’ve compared the two.

MINUTE 2
CATHAL SAUNDERS OCTOBER 7, 2026

ChatGPT ads have arrived in Europe

Source: MarketingTech News

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1 MINUTE SUMMARY

In August, OpenAI announced it was taking ChatGPT ads to 31 European markets, including Germany, Spain, France, the Netherlands and Austria. The ads launched in February 2026 and were tested in the US of A first.

Who sees them. Only users on the Free and Go plans. Plus, Pro and Enterprise stay ad-free.

Who’s testing. Volkswagen and Vodafone have started trials in the Netherlands.

What advertisers get. Bidding has grown from CPM and CPC to conversion optimisation, with geo-targeting, custom audiences, a tracking pixel and even a conversions API (ooo ahh).

What OpenAI promises. Ads are labelled and kept separate from answers, don’t influence what ChatGPT says, and advertisers can’t see users’ conversations.

The interesting bit is how people search. Instead of typing three keywords, they describe the whole problem. It’s often what they need, what matters to them, and what they don’t want. That’s a lot more context than our practically neanderthal ‘trainers cheap’ search habits of old.

Key Conclusion

This is the most interesting new ad channel in years, and nobody yet knows what it’s worth. Both of those things are true at once.

If you test it, test it the way Vodafone is. That is to say, judge it on what it adds across the whole customer journey, not just last-click conversions. ChatGPT is mostly a research tool, so expect it to start journeys that finish somewhere else. A channel judged only on last-click sales will look worse than it is.

And before spending anything, get your product information in order. Ads that land people on thin pages with vague descriptions will only lead to wasting money in a shiny new platform, which is still wasting money.

MINUTE 3
CATHAL SAUNDERS OCTOBER 7, 2026

AI knows SEO. It doesn't know your SEO.

Source: Search Engine Land

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1 MINUTE SUMMARY

An SEO dude who is highly experienced has been using Claude for a 41-site audit of Chicago music venues and for his own app. He’s a fan. He’s also kept a list of the times it went completely doolally (real word). Highlights include:

Problems that weren’t there. It flagged a JavaScript crawling issue on a site that was plain HTML. It told a venue to claim a Google Business Profile that was already claimed.

Facts it couldn’t know. It wrote ‘no sitemap submitted to Search Console’ on every venue’s report, despite having no Search Console access.

Problems it missed. A crawl showed 111 duplicate title tags caused by duplicate URLs, and it didn’t spot why until he pointed it out.

Dull titles. It turned a comedy club’s genuinely funny, keyword-rich title tag into something that wasn’t funny or useful.

Hiding pages nobody asked it to hide. Asked to fix title tags on a 20-page site, it also noindexed the pages to save crawl budget, which a 20-page site doesn’t need. It later pointed every demo page’s canonical to the demo homepage. He corrected it. It did it again. Three times. Wow.

In most cases, it agreed it was wrong once challenged. The trouble is someone has to know enough to challenge it.

Key Conclusion

AI is very good at some parts of SEO that require data analysis or heavy lifting, like sorting crawl data or drafting first version outlines of content based on your ideas. It’s much less good at knowing when a best practice doesn’t apply to your site.

So use it, but treat it like the new apprentice who has read every SEO blog and once watched a video on the subject, but never actually worked on your website. Check anything it suggests or changes before it goes live, especially noindex tags, canonicals, and robots.txt. Those three can quietly remove pages from Google, and you may not notice until the traffic has gone.

If an AI tool recommends something that doesn’t make sense, ask it why. Sometimes the honest answer is that it doesn’t know.

MINUTE 4
CATHAL SAUNDERS OCTOBER 7, 2026

Attribution is collapsing, and that might be no bad thing

Source: Search Engine Land

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1 MINUTE SUMMARY

Kevin Indig, who used to lead SEO at Shopify, argues that click-based attribution is breaking. He wrote it with George Bonaci, VP of growth at the US finance company Ramp.

The argument goes like this. Attribution was built to share out ad budgets using cookies and clicks. But AI tools now answer questions without anyone visiting a website. People opt out of tracking. Journeys hop between phones, laptops and conversations. So attribution can only give credit for the shrinking part of the journey it can actually see. Last-click attribution has always been a bit like crediting the goal to whoever touched the ball last. Now it can’t see most of the pitch.

The old journey was search, click, buy. The new one is closer to ‘ask an AI, read its summary, then type the brand name in directly.’

Bonaci says every attribution model is wrong, and leaning on one has become a crutch that replaces critical thinking. Ramp still uses one, but questions it constantly.

Looking at attribution alone, he says, would have led Ramp to cancel its brand marketing, events and direct mail.

An IAB survey found 76% of US advertisers use incrementality tests, 73% use attribution and 67% use marketing mix modelling. Only 39% use all three together.

Key Conclusion

If this sounds familiar, it’s because last month’s Five Minute Findings said much the same. The industry is slowly reaching an uncomfortable conclusion: the dashboard was never telling the whole story.

You don’t need to bin attribution. Just stop treating it as the truth and back it up with two other kinds of evidence.

  • Something that shows exposure, like how often AI tools mention your brand.
  • Something people tell you. Add a “How did you hear about us?” question at checkout or on your enquiry form. It’s cheap, and the answers are often surprising.
  • Something the business can bank, like sales, enquiries or revenue.

When all three move together, you can be reasonably confident. When they don’t, that’s where to dig. And for your biggest channels, a simple incrementality test still beats any model. Just turn something off in one region and see what actually happens.

MINUTE 5
CATHAL SAUNDERS OCTOBER 7, 2026

Bing is redecorating its ads

Source: Search Engine Watch

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1 MINUTE SUMMARY

On 2 October 2026, Search Engine Watch spotted Bing testing a new look for its search ads: a blue box holding the advertiser’s favicon, the title, the URL and a short description.

It’s one reporter, one screenshot and a test that may never launch. But it isn’t Bing’s only experiment this week. The same site also reported Bing testing italic URLs in results, and a row of logos under the search bar showing the top ad next to the top two organic results.

Key Conclusion

A small blue box won’t change the world. It might change your click-through rate, though, and on Microsoft Ads that’s worth noticing.

Microsoft Ads tends to get treated as Google Ads’ quieter sibling. You copy campaigns across once and then leave them alone. When the ad design changes, the ads that suit the new layout usually do better. Three simple checks:

  • Make sure your favicon is clear and recognisable at a tiny size. If the test sticks, it’s the first thing people will see.
  • Look at your headline and description. In a compact box, the first few words carry everything.
  • Watch Microsoft Ads click-through rate over the next few weeks. If it moves without you changing anything, a test like this may be why.

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