How to check the index status, coverage, canonical and last crawl of hundreds of URLs with the Search Console URL Inspection API, with a Python script and guidance on reading the results.
Ashruba Pankhade ·
How salons, spas and beauty studios get recommended locally and in AI answers: a text service menu with prices, a complete Business Profile, named stylists, honest photos and genuine reviews.
Rohit Bhisey ·
How gyms, yoga studios, trainers and wellness centres get found locally and in AI answers: complete profiles, class pages with schedules and prices, trainer credentials, careful health claims and reviews.
Rohit Bhisey ·
A tested Python and pandas script that shows where Googlebot spends its crawls, how much goes to parameter URLs, which status codes it gets and which sitemap pages it never visits.
Ashruba Pankhade ·
How search intent works now that questions carry conditions, continue across turns and mix several goals, how to identify it for any query, and which page format matches each intent.
Gunakesh Parmar ·
How to replace keyword-only site search with hybrid semantic search in PostgreSQL, combine rankings with reciprocal rank fusion, and use visitors' searches to find content gaps.
Ashruba Pankhade ·
What Indian institutes and edtech companies need on course pages, portals and local listings to be found and recommended, and how to publish outcome claims that are accurate and compliant.
Rohit Bhisey ·
What Indian real estate developers need on project pages, portals and local listings to be found in Google and recommended in AI answers, including RERA disclosures.
Rohit Bhisey ·
What Google has actually documented about AI Mode, what remains guesswork, and five strategy decisions that follow from the facts.
Gunakesh Parmar ·
A step-by-step guide to a free Looker Studio dashboard that combines GA4, Search Console and your AI answer tests to report AI visibility, visits and conversions.
Rohit Bhisey ·
How to structure comparison pages so buyers and AI assistants can use them: verdict first, a fair table on shared criteria, dated facts, clear conditions and open disclosure.
Rohit Bhisey ·
How knowledge graphs store facts as nodes and edges, how Google's Knowledge Graph and Wikidata work, and how to get your business represented.
Why your business name, address and phone must match everywhere online, where to check in India, and how to fix inconsistencies.
How sparse retrieval (BM25), dense retrieval (DPR), hybrid search and cross-encoder re-ranking decide which passages reach an AI answer.
How common zero-click searches are, how AI answers combine several sources, and what to measure when clicks no longer tell the whole story.
What first-party evidence and original research are, why AI assistants cite them, and how a services business can publish its own data properly.
What embeddings and cosine similarity are, how search systems use them to match meaning, and what that means for how you write pages.
How AI search splits one question into many searches, what Google has said about it, and how to cover the sub-questions buyers never type.
How retrieval-augmented generation works, where pages drop out of AI answers, and how to make content easier for RAG systems to use.
Retrieval-augmented generation, query fan-out, embeddings, re-ranking, context windows, the lost-in-the-middle effect and AI hallucination.