Be found on Google and suggested by AI assistants.
What LCP, INP and CLS measure, the thresholds to aim for, and the practical fixes for images, apps, fonts and scripts that speed up a store on mobile.
3 min readA beginner’s guide to getting found on Google: site structure, product pages, titles, speed, internal links, Search Console and what to expect.
3 min readShoppers ask AI assistants what to buy. Learn what generative engine optimisation is, what helps AI tools cite your store, and what no one can promise.
3 min readPractical formulas for product titles, meta descriptions and body copy that help search engines and shoppers, with before and after examples.
3 min readFind what your customers search for using free methods: autosuggest, Search Console, competitor pages and customer questions, then map phrases to pages.
3 min readStructured data tells search engines and AI assistants your product's name, price, availability and reviews. See an example, the rules and how to test it.
3 min readHow to reach shoppers who search in Hindi, Tamil, Bengali or Hinglish: research, translation quality, URL structure, hreflang and where to start.
3 min readWhat sitemap.xml and robots.txt do, what to include and block on a store, how to treat AI crawlers, and the mistakes that quietly hide your site from search.
3 min readllms.txt is a proposed plain-text file that tells AI assistants who you are and where your key pages are. What it contains, how to write one, and its limits.
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