Industries · E-commerce
The product question starts in a chat now. The assistant picks a few brands from the reviews it reads - and the shopper clicks through to those.
We asked both assistants what a shopper would ask.
ChatGPTAsked: What are the best running shoes for flat feet?
If you have flat feet, the key question is how much you overpronate, not simply how low your arches are. Current podiatry and running-shoe guidance generally points toward stability shoes when flat feet are accompanied by excessive inward rolling.
My top picks
- Brooks Adrenaline GTS 25 - $154.99 (DICK’S Sporting Goods)
- HOKA Arahi 8 - $119.99 (DICK’S Sporting Goods)
- ASICS GEL-KAYANO 33 - $170.00 (The Runner's High)
- Brooks Adrenaline GTS 24 - $125.97 (DICK’S Sporting Goods)
- Brooks Adrenaline GTS 25 — best all-around choice. Its GuideRails system provides stability without feeling like a rigid corrective shoe. It's a particularly good starting point for mild-to-moderate overpronation.
6 brands named
ClaudeAsked: What are the best running shoes for flat feet?
Based on current reviews and testing, here's a solid rundown of the best running shoes for flat feet in 2026, organized by need:
Top Overall Picks
Brooks Adrenaline GTS 25 – A perennial favorite for flat feet. Thanks to its multiple width options, unique GuideRails system and durable all-day midsole foam, the Brooks Adrenaline GTS 25 is the pick as the best overall shoe for flat feet, providing the right balance of support and stability whether running, walking or standing. One reviewer described the feel as "a satisfying locked-in, supported feel without every run feeling like a corrective exercise." Just note the shoe's DNA LOFT v3 foam is stable, but not particularly responsive or bouncy.
6 brands named
Real answers - asked from the United States on 25 September 2026. Shortened; the brand count covers the whole answer.
The gap
Someone who asks this never opens a results page. They get a short list, pick from it, and the brands that were not on it never had a chance.
01
An answer names a handful of brands, not ten blue links. Being the eleventh result used to be visible. Being the eleventh brand is invisible.
02
The two answers above come from the same question and name different brands, because the assistants read different sources. Winning one does not win the other.
03
Answers move as models update and new pages get cited. A single check tells you where you stood once; it does not tell you when you dropped out.
Check your brand
One report answers it today. Daily monitoring shows whether it stays that way - and what to do when it does not.
AI Search Insight
AI recommends companies in your industry. The report checks whether yours is among them - 30 real customer questions, asked in five assistants. No account and no subscription: you pay for the report.
aisearchinsight.io
Scorra
An AI visibility platform for marketing teams and agencies that want the work done, not another dashboard. Five assistants measured every day, and an agent that acts on what they say.
getscorra.com
Want us to close the gap for you? Write to hello@organicly.agency
What is different here
Filters, variants and seasonality mean the site structure changes by itself - the question is whether it changes into pages worth indexing.
Category and facet combinations can produce tens of thousands of URLs from a few hundred products. Left alone, crawl budget goes to pages nobody should see while the categories that could rank stay thin.
On top of that sits the discovery shift: shoppers now ask models for recommendations, and marketplaces compete for the same queries with far more authority. Being specific about what you sell, for whom and on what terms is the part you still own.
What it covers
01
Before content, before links: which filter combinations may exist as indexable pages. Everything downstream depends on this, and in most shops nobody has ever decided it - the platform decided by default.
02
Attributes, dimensions, materials, compatibility. This is the material that answers 'which one fits my case', and it is the material a model needs to recommend you. Most shops have it in the database and not on the page.
03
Demand arrives before the purchase, sometimes by months. Content published when the season starts has already missed it, and the calendar has to be built backwards from the buying curve.
04
They win on authority and breadth. You win on knowing the product, the use case and the edge cases - which is also what makes a page worth citing rather than worth scraping.
What you get