Someone in Surat asked ChatGPT last week which studio to call about a website for a textile business. Whether it named you depends on nothing you did last week, and everything you did, or did not do, on the open web over the last year.
We build for this at Digiflexx, and every site we ship carries the machine layer for it, so here is the honest version of how it works and what to do, for any business in the city.
There is no list
AI assistants do not keep a directory of recommended businesses. When someone asks, the assistant searches the web, reads the pages it finds, and assembles an answer from the ones it can understand and trust. If it names you, it is because your pages were readable, consistent, and answered the question better than the others.
That means the work is not "AI optimisation". It is making sure the web, read by a machine, tells one clear story about you.
Bing matters more than you think
ChatGPT's web search runs on Bing. Google's AI answers run on Google. Perplexity and Claude read the web directly and also read a file called llms.txt if you have one.
So the first thing to check is the one most Surat businesses have never done: is the site in Bing's index, and is the business on Bing Places? Add the site to Bing Webmaster Tools, which can import everything from Google Search Console in one click, and claim the Bing Places listing with the same name, address and phone as everywhere else. One hour, once.
The five things that get a business named
1. One name, one address, one phone, everywhere. Website, Google Business Profile, Bing Places, Justdial, IndiaMART, LinkedIn, Instagram. A machine reading two different phone numbers does not know which business is real, and leaves you out. This is the most common fault and the cheapest fix.
2. Answer-shaped pages. An assistant lifts a direct answer to a question. Every page on this site opens with a two or three sentence answer under the headline for exactly that reason. "What does a Shopify store cost for a saree brand in India" gets a number and a source, not a paragraph of adjectives.
3. Structured data on every page. Organisation, address, services, articles, FAQs, in the machine-readable block search engines and assistants use to confirm who you are. Every page on digiflexx.co carries it. Most Surat business sites carry none.
4. A real business profile with reviews. Google Business Profile and Bing Places, with the categories set and a few real reviews with names. Assistants weigh what other people say about a business, and a profile with nothing on it says nothing.
5. An llms.txt, because it is free. A plain-text description of the business at the root of the site. Google has said its search does not use it (Search Engine Journal, 2026); Claude and Perplexity do read it. Ours is at digiflexx.co/llms.txt if you want to see the shape.
What it looks like when it works
Ask an assistant who designs brand identity for textile businesses in Surat. The answer should be assembled from a site that says, in plain text and in structured data, that this is a Surat studio, that it did this for JMS Studio, and that the result was customers in more than 25 countries. Not because we asked to be recommended, but because the facts were there to be read. The JMS case study exists partly for that reader.
The order to do it in
- Fix the inconsistencies. Same name, address, phone and description on every profile you have. One afternoon.
- Claim Bing Places and add the site to Bing Webmaster Tools. One hour.
- Rewrite the top five pages to open with a direct answer to the question they exist for.
- Add structured data to those pages, and a sitemap if there is none.
- Ship an llms.txt and then leave it alone; it is not where the results come from.
Everything above ships with every Digiflexx build as standard; the detail is at get found. If you want to know where your business stands today, message me with the website and the business name, and I will ask the assistants myself and send you the screenshots.