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 ·
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 ·
One-day on-site AEO and GEO workshop for marketing, content and development teams, led by Brilad's co-founders.
How consulting and professional services firms make their expertise visible to buyers and AI assistants: problem and industry pages, method, consultant profiles, case studies and original thinking.
Gunakesh Parmar ·
How genuine partnerships produce relevant mentions and links: partner types, choosing partners, making each mention accurate, co-authored research, and what separates partnerships from link schemes.
Rohit Bhisey ·
How to earn links and mentions in 2026 that help both Google rankings and AI visibility: what Google's link spam policy covers, approaches that work, a monthly routine and what to avoid.
Gunakesh Parmar ·
A publishing checklist that gets new pages found quickly: internal links from often-crawled pages, sitemaps, IndexNow, selective indexing requests, server rendering and sharing.
Rohit Bhisey ·
Why FAQ sections still matter after Google limited FAQ rich results in 2023, where to find the real questions, how to write answers that get used, and the mistakes to avoid.
Gunakesh Parmar ·
How Indian IT services and software companies get shortlisted by buyers and AI assistants: capability, technology and industry pages, engagement models, verifiable proof and review platforms such as Clutch.
Rohit Bhisey ·
Two of the four acronyms name distinct work, one is a Google feature and one is a synonym. The measurement terms are the real problem, because brand citation rate and share of model have no agreed definition. Which three numbers to keep, and why the rest is reading material.
Rohit Bhisey ·
Knowing which accounts are worth winning, reaching the whole buying group, matching creative to the stage buyers are actually at, running demand creation alongside capture, and measuring against pipeline. What each capability fails to do alone, and the questions to ask before approving a campaign.
Rohit Bhisey ·
How recruitment and staffing firms get found by candidates and employers: crawlable job pages with JobPosting markup, expired job handling, employer-facing service pages, trust signals and original salary data.
Rohit Bhisey ·
How to generate JSON-LD automatically from CMS fields, keep one connected graph per page, and validate it in your pipeline with a tested Python script.
Ashruba Pankhade ·
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 ·
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 ·
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 ·
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 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 ·
Five signals that show whether appearing in AI answers is building awareness: branded search, direct and AI referral visits, share of voice, self-reported attribution and surveys.
Rohit Bhisey ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
How brand mentions and co-occurrence shape what AI assistants associate with your company, what is documented, and where useful mentions come from.
The trust signals a business website should show, the ones that reduce trust, and how to offer risk reversal without false guarantees.
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 follow-up questions and unstated buyer conditions shape AI searches, and how to write pages that match real buyer situations.
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.
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.
What embeddings and cosine similarity are, how search systems use them to match meaning, and what that means for how you write pages.
The training, search and user-fetch crawlers run by OpenAI, Anthropic, Perplexity, Google and others, and how to set robots.txt rules for each.
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.
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.
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 ·