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 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 ·
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 ·
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 ·
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 ·
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 ·
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 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 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 ·
The trust signals a business website should show, the ones that reduce trust, and how to offer risk reversal without false guarantees.
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 ·
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 ·
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 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 ·
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 ·
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 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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 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 AI answers use video, and how to make your YouTube and on-site videos understandable: titles, descriptions, captions, chapters, watch pages, transcripts and VideoObject schema.
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 ·
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 ·
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 ·
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 divide marketing budget between performance campaigns and SEO and GEO, based on speed, sales cycle, cost per lead and demand, with a test-and-learn approach.
Rohit Bhisey ·
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 ·
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 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 ·
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 ·
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 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 ·
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 ·
A step-by-step method to measure how often ChatGPT, Perplexity and Gemini mention your brand, using a spreadsheet and Google Analytics instead of paid tools.
Rohit Bhisey ·
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 ·
Terms governing the use of the Brilad website, its guides and content.
How Brilad collects, uses and protects personal data from website visitors and enquiries, and how to exercise your rights.
How brand mentions and co-occurrence shape what AI assistants associate with your company, what is documented, and where useful mentions come from.
How knowledge graphs store facts as nodes and edges, how Google's Knowledge Graph and Wikidata work, and how to get your business represented.
Why your business name, address and phone must match everywhere online, where to check in India, and how to fix inconsistencies.
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.
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 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.
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.
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.
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.
Contact Brilad in Pune by phone or through the form to discuss an AI Search Audit, SEO, AEO or GEO work, development or training.
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.
One-day on-site AEO and GEO workshop for marketing, content and development teams, led by Brilad's co-founders.
Brilad is a search and web development consultancy in Pune and Mumbai founded by Gunakesh Parmar, Rohit Bhisey and Ashruba Pankhade.
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.
Technical and enterprise SEO: crawl health, Core Web Vitals, site architecture and intent-based keyword mapping.
SEO, AEO and GEO services, AI Search Audits and AI-ready development on WordPress, Next.js and Laravel.
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 ·