What Google has actually documented about AI Mode, what remains guesswork, and five strategy decisions that follow from the facts.
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 ·
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 ·
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 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 ·
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 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 ·
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 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 ·
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 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 ·
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 ·
Short, self-contained definitions of 62 terms used in answer engine optimisation, generative engine optimisation and technical SEO, with links to in-depth guides.
Gunakesh Parmar ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
When to use robots.txt, noindex or a canonical tag, what each one actually does, and the common mistakes that keep unwanted pages indexed or hide pages you want found.
Ashruba Pankhade ·
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 ·
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 ·
What Indian manufacturers and exporters need on product pages, company profiles and B2B marketplaces to be found by procurement teams in Google and AI answers, at home and abroad.
Rohit Bhisey ·
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 ·
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 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 ·
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 ·
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 ·
How to diagnose "Crawled, currently not indexed" on React and Next.js sites using Google's rendered view, match each symptom to its cause, and fix it.
Ashruba Pankhade ·
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 ·
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 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 ·
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 ·
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 ·
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 ·
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 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 ·
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 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 ·
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 ·
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 ·
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 ·
Terms governing the use of the Brilad website, its guides and content.
How brand mentions and co-occurrence shape what AI assistants associate with your company, what is documented, and where useful mentions come from.
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 sparse retrieval (BM25), dense retrieval (DPR), hybrid search and cross-encoder re-ranking decide which passages reach an AI answer.
What first-party evidence and original research are, why AI assistants cite them, and how a services business can publish its own data properly.
How visible dates, dateModified and sitemap lastmod work as freshness signals, what Google says about them, and when to update a page's date.
Why AI assistants state false things even when citing sources, what hallucinations look like for a business, and how to find and fix them.
What E-E-A-T means in Google's rater guidelines, why it matters to AI assistants, and a practical checklist for business websites.
What information gain is, why AI assistants cite pages that add something new, and how to find the information only your business can publish.
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.
The 2023 Stanford study on why language models use information at the start and end of their input best, and how to write pages for it.
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.
Answer-first structure, chunking, tables, JSON-LD, entity resolution, llms.txt, AI crawler rules, freshness dates and IndexNow.
Retrieval-augmented generation, query fan-out, embeddings, re-ranking, context windows, the lost-in-the-middle effect and AI hallucination.
Guides on how Google, answer engines and AI assistants find, read and choose the sources they show.
AI-ready WordPress, Next.js and Laravel development, plus MCP servers and AI integrations.
Generative Engine Optimization: AI crawler access, entity grounding, citable content and AI citation tracking for ChatGPT, Perplexity and Gemini.
Answer Engine Optimization: answer-first content, question schema and formatting that wins featured snippets and voice answers.
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 ·
How Brilad plans SEO, answer engine optimisation and generative engine optimisation as one four-phase process, what each phase covers, and what it cannot promise.
Gunakesh Parmar ·