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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 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 ·
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 ·
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 knowledge graphs store facts as nodes and edges, how Google's Knowledge Graph and Wikidata work, and how to get your business represented.
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 ·
The trade-offs between an in-house SEO and GEO team and an agency, the questions that decide it, common hybrid models, and signs the current setup is not working.
Rohit Bhisey ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
A simple, defensible way to calculate return on SEO and GEO: choosing a baseline, counting incremental enquiries, converting them to profit, allowing for time, with a worked example.
Rohit Bhisey ·
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 ·
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 ·
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 ·
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 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 ·
A one-page monthly report for SEO and AI search: outcomes first, visibility trends against competitors, a short health check and three to five next actions.
Rohit Bhisey ·
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 ·
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 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 ·
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 ·
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 ·
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 ·
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 ·
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 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 follow-up questions and unstated buyer conditions shape AI searches, and how to write pages that match real buyer situations.
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 first-party evidence and original research are, why AI assistants cite them, and how a services business can publish its own data properly.
How retrieval systems split pages into chunks, what makes a chunk usable on its own, and how to structure sections, headings and tables for it.
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 information gain is, why AI assistants cite pages that add something new, and how to find the information only your business can publish.
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.
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.
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.
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.
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 ·