Someone is standing in their kitchen at half past six with a phone, typing "curry near me" or "Indian takeaway" and the name of your town. They will decide in under a minute. If your menu is a PDF, your site takes five seconds to load, and your only order button belongs to Just Eat, you have just paid commission on a customer who was already yours — or lost them to the place down the road.
The decision happens in minutes, on a phone, and it is made on three things: can I see the menu, can I see the prices, and can I order or ring. A PDF menu fails all three on a phone. A slow hero image fails before the menu is even reached.
Aggregators solve the ordering and take the margin. Just Eat and Uber Eats are worth being on, but a curry house whose only online front door is an aggregator is renting its own customers back at a commission.
And the search is changing. People now ask an AI assistant for a good curry in their town, and the assistant answers from structured data on the restaurant's site — cuisine, opening hours, area served, whether you deliver. Most curry house sites have none of it, so the assistant recommends whoever does.
Indian Blues is a licensed Indian and Bangladeshi restaurant and takeaway in Chesterfield town centre. A full site build, then a seventeen-area local SEO and AI-search audit in September 2026 that found the fundamentals right and named exactly where the remaining gains were.
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Built for how people actually choose a curry: fast, on a phone, and findable by dish, cuisine and town.
A site that loads fast on mobile data — home, menu, order, contact — with no framework in the way because nothing here needs one.
The menu as crawlable text, with dishes and prices, so it appears in search and reads on a phone. Not a PDF.
Restaurant and Menu structured data, your name, address and phone consistent everywhere, and the Google Business Profile aligned with the site so the two never disagree.
Your own online-ordering link front and centre, with the aggregators kept as channels rather than as the front door.
An llms.txt stating the facts an AI assistant needs — cuisine, address, hours, delivery area — and a robots.txt that welcomes the AI crawlers instead of blocking them.
A local SEO and AI-search audit across seventeen areas, with the fixes in plain English and the things already right named as such, so you are never paying to redo work that was fine.
No, and it should not. Stay on them for the customers who live there. What this gives you is your own front door, so a customer who searched for you by name orders from you at full margin instead of through a platform that charges you for the introduction.
You change a text file, or send me the change. No PDF to regenerate, no designer to wait for. Prices update on the page and in the structured data at the same time, because they are the same data.
Only genuine ones, and only when they are actually on the page. Star ratings in search results come from review structured data, and Google's rules are clear that it must reflect reviews visible on the site. The build leaves that out until there are real reviews to show, rather than marking up ratings that are not there.
A plain-text file that tells AI assistants the facts about your business — what you serve, where you are, when you open, whether you deliver. When someone asks an assistant for a curry in your town, that is what it reads. It takes an hour to write and most of your competitors do not have one.
No. The build works with the photographs and logo you already have, and the audit will tell you plainly if an image is too large to load quickly on a phone. If you need new photography, I will say so rather than pretend a slow site is a design problem.
A site build and a local SEO audit are each a defined piece of work. You get a fixed price and a date before anything starts.
Send me your current site and the town you serve. On the call I will show you what a search for a curry there returns today, and whether it is the site or the Google listing that needs the work.