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 is and is not known about AI assistants citing LinkedIn, and an eight-week test plan to find out whether LinkedIn or your website earns citations for your topics.
Rohit Bhisey ·
A publishing checklist that gets new pages found quickly: internal links from often-crawled pages, sitemaps, IndexNow, selective indexing requests, server rendering and sharing.
Rohit Bhisey ·
Why storing content as structured fields instead of one rich text block makes structured data automatic, facts consistent and content reusable by chatbots, with an example model for a service business.
Ashruba Pankhade ·
How to move a site from WordPress to Next.js without losing search traffic: inventory, keeping URLs, redirects, metadata and schema, content and media, replacing built-in features, and testing.
Ashruba Pankhade ·
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 hotel, banquet and wedding venue in Jhansi gets its own direct booking website: custom design, a booking engine that works like an OTA extranet, and SEO, AEO and GEO from day one.
How recruitment and staffing firms get found by candidates and employers: crawlable job pages with JobPosting markup, expired job handling, employer-facing service pages, trust signals and original salary data.
Rohit Bhisey ·
How to generate JSON-LD automatically from CMS fields, keep one connected graph per page, and validate it in your pipeline with a tested Python script.
Ashruba Pankhade ·
How interior designers and architects get found in search and AI answers: descriptive project pages, honest cost and process guides, credentials, Business Profile and reviews.
Rohit Bhisey ·
How to build a WhatsApp chatbot that answers from your own website content: the WhatsApp Business Platform, a working webhook, grounded answers, human handover, consent and data handling.
Ashruba Pankhade ·
A Python script that sends buyer questions to Claude and Perplexity through their APIs with web search, records brand and competitor mentions and cited URLs, and saves the results for trend tracking.
Ashruba Pankhade ·
Ten low-cost steps that give a startup search and AI visibility: a crawlable site, clear offer pages, visible founders, free tools, answer pages, one original asset, listings, reviews and a monthly check.
Rohit Bhisey ·
How to build sitemaps for large sites: limits, splitting by type, sitemap index files, accurate lastmod, generateSitemaps in Next.js, image and video sitemaps, and monitoring.
Ashruba Pankhade ·
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 ·
Why B2B dashboards start counting the buyer too late, what Google retiring four attribution models in 2023 tells you, how AI answers widen the gap when only 1% of people click a source inside a summary, and what to put on the report instead of clicks.
Rohit Bhisey ·
How restaurants and cafes get recommended in Google, Maps and AI answers: a complete Business Profile, a text menu, consistent food platform listings, genuine reviews and a clear website.
Rohit Bhisey ·
Six design principles for AI agents that work with your website's data: narrow tools, read before write, human confirmation, defence against prompt injection, limits and logging, and data protection.
Ashruba Pankhade ·
The rules on company articles in Wikipedia and items in Wikidata: notability, conflict of interest, paid editing disclosure, and how to fix errors or add accurate, referenced facts.
Rohit Bhisey ·
The six skills a marketing team needs for AI search, how to assess them, an eight-week plan using the team's own website, who owns what, and how to separate the knowledge that lasts from the part that changes every month.
Rohit Bhisey ·
A free baseline you can run in fifteen minutes: build a buyer question bank, test it on ChatGPT, Gemini and Perplexity, score the answers, check your footprint off your own site, and work out which of three problems you actually have.
Rohit Bhisey ·
How to audit and improve what people and AI assistants see for your company name: your website, profiles, knowledge panel, similar-name confusion, negative results and monitoring.
Rohit Bhisey ·
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 ·
Why Reddit and Quora discussions shape AI answers, and how to take part honestly: listening first, answering under your own name, disclosing affiliation and avoiding tactics that backfire.
Rohit Bhisey ·
A practical SEO checklist for Laravel sites: URLs and redirects, titles and canonicals, JSON-LD, sitemaps with spatie/laravel-sitemap, rendering with Inertia, performance and proxies.
Ashruba Pankhade ·
How to set up a headless WordPress and Next.js site for search and AI crawlers: server rendering, SEO fields, revalidation, public sitemaps, redirects and keeping the backend out of search.
Ashruba Pankhade ·
A step-by-step method to find pages competing for the same queries using Search Console and a spreadsheet, and a decision table for merging, refocusing or redirecting them.
Gunakesh Parmar ·
How to earn accurate, relevant mentions in the publications and communities AI assistants read: finding targets, creating something worth covering, pitching and being a good expert source.
Rohit Bhisey ·
A clean pattern for generating JSON-LD in Laravel: a small schema builder, one graph per page through a Blade stack, safe output with @json, and linked authors and articles.
Ashruba Pankhade ·
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 ·
How brand mentions and co-occurrence shape what AI assistants associate with your company, what is documented, and where useful mentions come from.
How crawlers read your HTML, why semantic elements matter, the truth about text-to-HTML ratio, and a five-step machine readability test.
Answer-first structure, chunking, tables, JSON-LD, entity resolution, llms.txt, AI crawler rules, freshness dates and IndexNow.