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 ·
How to write case studies that buyers believe and AI assistants can cite: a clear structure, honest results with numbers and periods, what did not work, permissions and publishing them properly.
Rohit Bhisey ·
Where voice assistants get their spoken answers, why they now overlap with AI answers, and how to be the answer: short direct sentences, natural questions, complete listings and Indian language pages.
Gunakesh Parmar ·
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 ·
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 ·
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 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 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 ·
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 ·
What logistics, freight and supply chain companies need to be found by shippers: specific service, lane and industry pages, facilities and certifications, listings and evidence.
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 ·
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 ·
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 ·
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 ·
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 ·
How Indian D2C brands can win organic and AI visibility against marketplaces: original product pages, legal disclosures, structured data, Merchant Center, category pages and guides.
Gunakesh Parmar ·
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 ·
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 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 ·
A step-by-step guide to appearing as a source in ChatGPT search: OpenAI's crawlers, access, readable content, answering buyer questions, search visibility and measurement.
Gunakesh Parmar ·
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 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 ·
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 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 ·
What Google has actually documented about AI Mode, what remains guesswork, and five strategy decisions that follow from the facts.
Gunakesh Parmar ·
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 ·
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 ·
A monthly process to see which competitors AI assistants name for your buyers' questions, which sources drive those mentions, and what to do about each one.
Rohit Bhisey ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
Terms governing the use of the Brilad website, its guides and content.
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 follow-up questions and unstated buyer conditions shape AI searches, and how to write pages that match real buyer situations.
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.
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 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.
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.
AI-ready WordPress, Next.js and Laravel development, plus MCP servers and AI integrations.
A full check of your visibility across Google, answer engines and AI assistants, with a prioritised fix list.
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 ·