A before, during and after checklist for redesigns, platform changes and domain moves that keeps search traffic: redirect mapping, content carry-over, staging traps and monitoring.
Gunakesh Parmar ·
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 ·
A QA process for AI-assisted articles: a tested script for banned phrases, links, structure and unsourced statistics, assisted claim checking, and human and expert review.
Ashruba Pankhade ·
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 ·
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 ·
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 ·
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 ·
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 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 ·
Fifty SEO audit checks for 2026 in seven areas, from crawling and rendering to structured data, AI search readiness and measurement, with the tool for each.
Gunakesh Parmar ·
A checklist for making Next.js sites readable by Google and AI crawlers: server rendering, the Metadata API, JSON-LD, sitemap and robots files, links, middleware and testing.
Ashruba Pankhade ·
Seven reasons ChatGPT leaves a company out of its answers, a test for each, and a free template for tracking AI mentions over time.
Rohit Bhisey ·
A step-by-step way to check robots.txt, your CDN or firewall, the server response and JavaScript rendering for ten search and AI crawlers, with a free Python script.
Ashruba Pankhade ·
Brilad's eight-point checklist for pages that turn visitors from AI answers into enquiries, and how to measure AI referral traffic.
What first-party evidence and original research are, why AI assistants cite them, and how a services business can publish its own data properly.
When template-generated pages help searchers and when they become scaled content abuse, the conditions for doing programmatic SEO well, and a small-batch process to test it.
Gunakesh Parmar ·
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 ·
What Google has documented about AI Overviews, and six steps to be cited in them: eligibility, ranking for sub-questions, usable passages, expertise, query checks and measuring clicks.
Gunakesh Parmar ·
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 ·
How hotels, homestays and tour operators compete with booking platforms in search and AI trip planning: complete profiles, detailed room and itinerary pages, clear policies, reviews and local guides.
Gunakesh Parmar ·
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 set and enforce a performance budget for a marketing site: which metrics to limit, Lighthouse CI assertions, real-user monitoring and a team process for new scripts.
Ashruba Pankhade ·
How a new company can show experience, expertise and trust before it has case studies: visible people, publishable work, transparency and early independent signals.
Gunakesh Parmar ·
How hacks damage search visibility, a prevention checklist for access, software, configuration and backups, and the steps to recover and request a review in Search Console.
Ashruba Pankhade ·
What a trustworthy About page includes, how to replace adjectives with checkable facts, how to connect it with structured data, and why AI assistants rely on it to describe your company.
Gunakesh Parmar ·
How to make SEO fixes at the CDN layer with Cloudflare Workers: redirects, headers and HTML changes with HTMLRewriter, with the rules that keep edge SEO safe and temporary.
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 ·
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 businesses with several locations win local search and AI answers: one verified profile per real location, unique location pages, crawlable store locators, per-location reviews and consistency.
Gunakesh Parmar ·
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 ·
What Indian insurers, brokers and aggregators need to rank and be cited: clear coverage and exclusions, waiting periods, claim processes, IRDAI disclosures, expert content and consistent listings.
Rohit Bhisey ·
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 Indian law firms and advocates can build search and AI visibility within the Bar Council of India's rules: factual profiles, practice areas, legal explainers and a crawlable disclaimer.
Gunakesh Parmar ·
Go beyond Search Console's 1,000-row export: set up API credentials, run a Python script that pages through every query and page by day, and understand the data's limits.
Ashruba Pankhade ·
What Indian banks, NBFCs, fintechs and advisers need to rank and be cited: dated rates and fees, RBI, SEBI and IRDAI disclosures, expert content, calculators and consistent listings.
Gunakesh Parmar ·
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 ·
How to make Angular and Vue sites readable by Google and AI crawlers: Angular SSR and prerendering, Nuxt, per-route metadata, path-based routing and testing.
Ashruba Pankhade ·
Anthropic's three user agents explained, and six steps to be found and cited by Claude: access, readable HTML, precise answers, shareable pages, consistency and measurement.
Gunakesh Parmar ·
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 ·
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 ·
The accessibility fixes that also help search engines and AI systems: semantic HTML, headings, alt text, link text, captions, tables and keyboard access, with how to test them.
Ashruba Pankhade ·
What Indian hospitals, clinics and health brands need to rank and be cited: verifiable doctor profiles, reviewed treatment pages, costs and insurance, listings, and compliance with advertising and data rules.
Gunakesh Parmar ·
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 WordPress sites fail Core Web Vitals and how to fix them without stacking plugins: field data, server caching, fewer scripts, the LCP image, layout stability and JavaScript control.
Ashruba Pankhade ·
The pages, review profiles and documentation B2B SaaS companies need to be shortlisted by Google and AI assistants: use cases, integrations, pricing, comparisons and public docs.
Gunakesh Parmar ·
A week-by-week 90-day plan for AEO and GEO: foundation and baseline in month one, a complete topic cluster in month two, original information and mentions in month three.
Rohit Bhisey ·
How to handle images in Next.js for search, speed and AI understanding: the Image component, AVIF and WebP, the LCP image, alt text, file names, Open Graph images and structured data.
Ashruba Pankhade ·
Automated checks that stop SEO mistakes before release: a tested smoke-test script for key URLs, Lighthouse CI budgets, crawl comparisons and redirect tests.
Ashruba Pankhade ·
How Indian companies can become visible to buyers in the US, UK and Middle East: when to create market versions, URL structures, localised content, hreflang, local proof and measurement.
Gunakesh Parmar ·
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 ·
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 ·
How to set up language URLs and hreflang in the Next.js App Router with the Metadata API or sitemap, avoid auto-redirects, and fix the most common hreflang mistakes.
Ashruba Pankhade ·
How Google Gemini finds information, why the Google-Extended setting matters, and six steps to appear in Gemini's answers through Search, Maps, YouTube and a clear entity.
Gunakesh Parmar ·
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 ·
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 ·
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 ·
The architecture of a website chatbot that answers from your own pages: chunking, embeddings in PostgreSQL with pgvector, grounded answers with citations, safeguards and evaluation.
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 copy-and-fill brief for hiring a GEO agency, the questions that separate strong agencies from weak ones, red flags in proposals and a scoring table.
Rohit Bhisey ·
How to find and fix slow Interaction to Next Paint on React and Next.js sites: measuring with attribution, shipping less JavaScript, transitions, splitting long tasks and taming third-party scripts.
Ashruba Pankhade ·
What Google has actually documented about AI Mode, what remains guesswork, and five strategy decisions that follow from the facts.
Gunakesh Parmar ·
The exact internal linking rules behind brilad.com: hubs, pillars, guides, services and blog posts, and how to apply the same hub-and-spoke structure to any site.
Gunakesh Parmar ·
Code for generating llms.txt and Markdown versions of pages in Next.js, keeping them out of Google's index, and an honest note on what llms.txt can and cannot do.
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 expose your Laravel application to AI assistants through the Model Context Protocol with the official laravel/mcp package, and the security design that matters most.
Ashruba Pankhade ·
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 ·
Why content in tabs, accordions and "read more" sections is invisible to many crawlers when it loads on click, and four fixes with code for HTML, React and Next.js.
Ashruba Pankhade ·
A method for mapping the sub-questions AI assistants search when they answer a buyer's question, and assigning each one to a page, with a worked example.
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 submit changed URLs to Bing and other IndexNow search engines from Next.js and Laravel, with working code, error codes and good practice.
Ashruba Pankhade ·
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 ·
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 ·
How to tell genuine Googlebot, Bingbot and OpenAI crawler visits from impersonators using DNS checks and published IP ranges, with a free Python script for access logs.
Ashruba Pankhade ·
A step-by-step AEO playbook: choosing winnable queries, matching snippet formats, writing answer blocks, covering People Also Ask, and a 30-point checklist.
Gunakesh Parmar ·
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 ·
Five Cloudflare settings that can block ChatGPT, Claude and Perplexity crawlers even when robots.txt allows them, and how to allow AI search while keeping protection on.
Ashruba Pankhade ·
A 100-point framework to assess how ready a website is for AI search, across crawler access, rendering, entity clarity, content, original information, off-site presence and measurement.
Gunakesh Parmar ·
A step-by-step Search Console method to find queries where clicks fell while rankings held, confirm AI Overviews, and decide what to do about each one.
Rohit Bhisey ·
Ten common problems in business website copy that stop AI assistants from quoting it, each with a before-and-after rewrite and the principle behind it.
Gunakesh Parmar ·
How long GEO takes, stage by stage: crawler fixes in days, content changes in weeks, brand mentions and model updates in months, and how to judge progress.
Rohit Bhisey ·
Which AI crawlers an Indian business should allow or block, by type of business, with robots.txt examples and the legal context in India.
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 ·
What really changes when you move from SEO to generative engine optimisation, what stays the same, and where to start, based on documentation from Google and OpenAI and published studies.
Gunakesh Parmar ·
We built the same page three ways and requested each as OpenAI's crawler would. Two versions sent almost no content. Here is the test, the results and how to fix it.
Ashruba Pankhade ·
Brilad's six-question check for writing passages that AI assistants can quote on their own without losing accuracy or attribution.
How crawlers read your HTML, why semantic elements matter, the truth about text-to-HTML ratio, and a five-step machine readability test.
How knowledge graphs store facts as nodes and edges, how Google's Knowledge Graph and Wikidata work, and how to get your business represented.
How IndexNow notifies Bing and other search engines of changed pages, why Google does not use it, and how to set it up on WordPress.
Why HTML tables and data-dense writing help search engines and AI assistants quote you accurately, and how to build tables machines can read.
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 E-E-A-T means in Google's rater guidelines, why it matters to AI assistants, and a practical checklist for business websites.
How search engines and AI systems decide that mentions refer to your company, and how consistent naming, sameAs and Wikidata fix confusion.
How to build one connected JSON-LD graph with @id and sameAs, what schema can and cannot do for rich results, and how to check it.
The training, search and user-fetch crawlers run by OpenAI, Anthropic, Perplexity, Google and others, and how to set robots.txt rules for each.
What llms.txt is, its format, who uses it, what it can and cannot do for AI visibility, and how to add it to WordPress.
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.
Information gain, E-E-A-T, first-party evidence, source attribution, trust signals and writing passages that can be quoted accurately.