How Indian vehicle dealers get found for local buying and service questions: separate showroom and service profiles, on-road price pages, dated offers, used stock pages and consistent listings.
Rohit Bhisey ·
What Pew's click data shows, how retrieval-augmented generation decides which sources an assistant credits, the four stages companies move through from absent to recommended, and the order of work that actually pays off.
Gunakesh Parmar ·
How Perplexity finds and cites sources, and six steps to become one of them: crawler access, citable sentences, freshness, ranking for sub-questions, presence on cited sites and measurement.
Gunakesh Parmar ·
How local AI answers use business listings, and a checklist for Google Business Profile, location pages, reviews and the other platforms that feed Copilot, Siri and Indian directories.
Rohit Bhisey ·
How to find which review platforms and directories AI assistants cite for your category, and how to build profiles and collect genuine reviews that make you easier to recommend.
Rohit Bhisey ·
How sparse retrieval (BM25), dense retrieval (DPR), hybrid search and cross-encoder re-ranking decide which passages reach an AI answer.
What information gain is, why AI assistants cite pages that add something new, and how to find the information only your business can publish.
What embeddings and cosine similarity are, how search systems use them to match meaning, and what that means for how you write pages.