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The Big Picture September 1, 2026 Updated September 2, 2026

Google Thinned Out Listicles. The Vendor Pages That Survived Gained 38%.

Two studies landed last week measuring what January's unannounced update did. Fewer listicles hold top spots, the ones still standing get more traffic, and the strongest predictor is the date.

By The State of AI Marketing newsroom
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Editorial illustration for: Google Thinned Out Listicles. The Vendor Pages That Survived Gained 38%.
Credit: JAC Growth Marketing

If you own a “best [category] tools” page, go look at the date on it. Across 3,000 currently ranking listicles, an old or unreadable date carried 56% lower odds of a top-three spot. Nothing else came close.

That finding landed last week, in two studies by Kevin Indig built on 60,000 queries and 5.32 million Google results. They measure what an unannounced January update did, which nobody could answer in January.

The answer overturns what most people concluded at the time.

The two numbers that look contradictory

Coverage in January said Google had come for listicles. Coverage last week said vendor listicles gained 38%. Both are right, because they count different things.

Listicle presence in top positions fell. Indig’s August 24 analysis puts listicles at position one dropping from roughly 19-20% of results in January to about 15% in August. Across the top three, a fall of 3.9 to 6.0 percentage points. Fewer listicle slots.

Traffic to vendor-written listicles rose. Per PPC Land’s writeup, 62% of vendor-authored listicles gained estimated organic traffic since January, and the median page gained 38%. More traffic per surviving page.

One measures how often the format appears. The other measures what happens to a specific set of pages. Google thinned the field, and the pages left standing collected more.

Listicles aren’t gone either way. One still appears in the top 10 for 55.1% of queries. Ask Google for a set of options and it shows 4.5 times more of them.

Why the vendor pages survived

Ibrahim Furkan Ozcelik, who works on generative engine optimization and AI search, predicted this in May, before the data existed:

“the signal Google is downweighting is unearned self-elevation, and the format is the scapegoat.”

He argues the demotion lands on pages firing several bad signals together: ranking yourself first, AI-generated body text, swapping the year in a title to fake freshness, no disclosed methodology, programmatic scale, and schema manipulation. “Pages that fire five at once are the ones losing visibility.”

His standard for what survives: “High quality has acquired a methodological dimension: does the author explain how they arrived at their conclusion?”

Indig’s numbers support him. A vendor page built on real testing that shows its method kept its traffic. The version assembled at volume with a swapped date didn’t.

For B2B software this isn’t a side issue. Listicles appear in 62.5% of B2B software results, and brand or vendor listicles show up in 46.2% of those, against 3.3% in food. Publishers still win 54.0% of head-to-head matchups, so a vendor page has to earn the slot rather than expect it.

What predicts a top-three spot

Indig’s August 31 follow-up crawled 3,000 ranking listicles, 200 per vertical, and hand-reviewed 83 pages.

Freshness leads. A date from the previous two years appeared on 66.6% of top-three pages, against 57.3% of positions 8 to 10. Old or unreadable dates: 56% lower odds.

Counted lists beat editorial roundups. Where both competed on the same page, 56.8% of matchups went to the counted version, averaging position 3.77 against 4.59.

Longer lists did better. Titles listing 51 to 100 items averaged position 4.11. Titles with 2 to 5 averaged 5.85.

More headings hurt. A one-standard-deviation increase in heading count came with 29% lower top-three odds.

Schema markup and author bios showed no predictive power. Word count and image count correlated (top-three pages carried 21.5% more words and 38.9% more images at the median) but the effect held up inconsistently across models. Putting your own product first showed 4% stronger growth with a confidence interval running from 51% lower to 120% higher, which means nobody can tell.

The half that happens above your ranking

On 92% of pages carrying a top-10 listicle, Reddit or YouTube also appeared. Where Reddit showed up at all, it sat in the top three 70.7% of the time.

AI Overviews covered 83.7% of these queries on average, and 93.4% in B2B. Your ranking gets summarized above itself on nearly every B2B query, the same squeeze we covered when Google’s redirect change raised the cost of rank data and when answer engines started quoting people rather than pages.

Four things to do

Fix the dates. Visible, recent, machine-readable, on a page you really did update. Not a year swapped in a title, which is one of the six signals Ozcelik names.

Count your list and make it longer. Counted beats editorial and bigger counts ranked better. That’s a title and structure change, not a rewrite.

Cut headings. More of them tracked with worse odds.

Write down how you picked. If your page ranks your own product, say what you compared, on what basis, and when. That paragraph is what Ozcelik is describing and what Indig measured.

Quoted in this story

  • Kevin Indig, Growth Advisor, Growth Memo (source)
  • Ibrahim Furkan Ozcelik, GEO and AI Search Practitioner, ibrahimfurkanozcelik.com (source)

Want your perspective in coverage like this? Get quoted.

Sources

This story is part of our running coverage: The State of AI Content and Brand →

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