A practical process for collecting more genuine reviews: the right moment, a direct link through the right channel, one follow-up, replies to every review, and the practices to avoid.
Rohit Bhisey ·
The technical SEO problems Shopify stores hit most, from duplicate collection URLs and tag pages to app bloat, structured data, international setup and AI crawler access, with fixes.
Ashruba Pankhade ·
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 ·
A page-by-page method for refreshing existing content: building an inventory, deciding to update, merge, redirect, remove or leave, what a real update includes, and how to measure it.
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 ·
Structure makes a page readable for AI assistants. It does not make the page worth quoting. How to find the original material only your company has, make it extractable, reinforce it across other surfaces, and measure whether assistants start naming you.
Rohit Bhisey ·
How to stop filter combinations from flooding search engines with duplicate URLs, build indexable landing pages for the combinations people search, and handle pagination correctly.
Ashruba Pankhade ·
Why Microsoft Copilot depends on Bing's index, and seven steps to appear in its answers: Bing Webmaster Tools, IndexNow, Bingbot access, content, schema, Bing Places and measurement.
Gunakesh Parmar ·
The structure of a service page that serves buyers, Google and AI assistants: a specific opening, fit, deliverables, process, price, evidence and real FAQs.
Gunakesh Parmar ·
A step-by-step diagnostic for traffic lost in a Google core update: confirming the cause, finding the losing pages and queries, studying the winners and deciding what to improve.
Gunakesh Parmar ·
How to build a topic map that shows search engines and AI assistants your depth on a subject: core topics, buyer questions, page types, internal links and publishing order.
Gunakesh Parmar ·
What Google, Microsoft and OpenAI say about structured data and AI answers, which schema types still produce results, and where schema causes problems.
Gunakesh Parmar ·
The trust signals a business website should show, the ones that reduce trust, and how to offer risk reversal without false guarantees.
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 tokens, context windows and token budgets are, what gets cut from your page before a model reads it, and how to write for a limited budget.
What information gain is, why AI assistants cite pages that add something new, and how to find the information only your business can publish.
Information gain, E-E-A-T, first-party evidence, source attribution, trust signals and writing passages that can be quoted accurately.
Technical and enterprise SEO: crawl health, Core Web Vitals, site architecture and intent-based keyword mapping.
What changes in answer engine and generative engine optimisation for B2B software, e-commerce, healthcare, financial services and market research publishers, based on documented guidance and published research.
Gunakesh Parmar ·