A vegetable seller who broke Google's rulebook
Everyone thinks that for SEO domain authority is the key. They believe that if they get backlinks their domain authority will increase and they will outrank their competitors. The whole SEO industry is built around this idea.
Data from 250,000 merchant pages suggests that this assumption is wrong especially for AI Search. It's not partially wrong it's fundamentally wrong.
Looking at the data I noticed something. Pages with no backlinks brand new domains and zero SEO history were being cited in Google AI Overview often than Wikipedia, Justdial and other national platforms with decades of authority. This wasn't a one-time thing. It was happening consistently across categories, cities and types of businesses.
At first I thought it was just noise.. Then I saw a vegetable seller in Bangalore outranking Wikipedia for the question "how many onions in 1 kg". That's when I started paying attention.
What these pages had in common wasn't authority, but precision. Each page answered one question better than any other page indexed for that query. The vegetable sellers page had weight variants, approximate counts and price per kg listed in a format. Wikipedias onion article was comprehensive and authoritative. It didn't answer the specific question.
This distinction is important for content creators to understand.
Topics and questions are not the thing.
A page about "onions" and a page that answers "how many onions in 1 kg" are indexed and retrieved differently by AI systems.
Most high-authority content is built around topics. Most AI citations go to pages built around questions.
The local intent data made this even clearer.
Queries with a location attached such as "near me" or "city name" showed the fastest citation rates among all pages tracked.
For these queries a structured local business page consistently outperformed directories and aggregators.
It wasn't because it had SEO but because it specifically answered the question, such as "best mobile repair shop in Lalganj".
The content structure pattern was the actionable finding.
Pages written as questions and answers using language got cited more frequently than pages with identical information written as statements.
The difference between "same-day delivery and "do you offer same-day delivery? yes we deliver day within Lalganj" may be invisible to humans but its significant, to a retrieval system looking for an answer.
What this points to is a gap that most content teams are not building for.
Specific, structured and local content is where AI Overview is actually focusing on rather than the content engineered for high competition, higher authority.
The companies that are winning the discoverability race are doing so by chance. . They completed a form talked about their company in detail made a list of their products with real details and a system that finds information thought they were more helpful than a Wikipedia article that is written for anyone to read.
The Artificial Intelligence advantage that these companies have now is not going to stay. As more people learn how the Artificial Intelligence system chooses its information sources the difference, between these companies and others will disappear. The time to make specific and local information before other people do the same thing is now as more people are realising the shift of e-commerce to agentic commerce. And that's exactly what platforms like Vyaparify are doing helping these people realise that nows the chance to gain equal footing with the big players.
