Most seo services for small business in India are built around content and backlinks.What they lack is the underlying layer: the structure of the data that makes it machine-readable or not.
The number of small businesses in India is 63 million. These for the most part don't have a digital footprint that's machine-readable. No structured data. No schema markup. No entity disambiguation. As far as the crawler is concerned, they are non-existent.
It isn't a sales issue. It is a problem pertaining to data structures.
Google, Bing, and all the LLM-powered search tools – whether they be ChatGPT, Perplexity, or Google AI Overview – go about getting local business data in the same way: They crawl structured data signals based on a query. The retrieval fails if signals are missing and/or not in the correct format. The problem with the business is it's invisible but it doesn't mean that it doesn't exist, it means that it hasn't got readable data.
The signals that are important to local business retrieval are schema.org LocalBusiness markup with well-informed name, address, category and hours fields, a verified Google Business Profile entity that has the same data, and consistent NAP (name, address, phone) data throughout all indexed references about the business. The three come together and the business can be retrieved. However, if they do not, then it is completely lost from traditional search and AI-generated answer sets. This is where most seo services for small business fall short. Behind the scenes their algorithms optimize for page rank, as the content of the underlying entity is untidy and cannot technically be crawled by bots.
Vyaparify created a layer that automatically generates such signals for Indian merchants. The output is a structured local business profiles that passes schema.org validation, syncs across platforms and produces the exact data format that LLMs use for RAG-based local retrieval.
The network has delivered 3.3 crore Google impressions in the channel to 2,50,000 merchants, but not by means of SEO campaigns, but because of structured data that Google's bots are able to properly process.
It's a big change that's going on and it's really important for anyone that's constructing in this space. AI Overview and Perplexity are both platforms that do not rank pages. They pull entities. There are businesses that are represented in the knowledge graph and are cited. One that doesn't is ignored no matter how good it is or if it has a lot of domain authority.
The gap of infrastructure in the Indian local commerce is not a content gap. It is a data gap. Data infrastructure scales – unlike content.
Is it possible to get a small business in India to be in ChatGPT and Perplexity without going for traditional seo services for small business?
Yes – using structured local business profiles using schema.org markup and verified platform entities. LLMs don't get information from SEO optimised web pages but instead from structured sources. To get AI search retrieval for a complete business profile, there is no need for an ongoing SEO retainer.
id.vyaparify.com assembles this infrastructure in 15 minutes, and handles those 3.3 crore impressions.
Top comments (0)