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 ·
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 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 ·
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 ·
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 ·
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 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 ·
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 chartered accountant and accounting firms in India build search and AI visibility within ICAI's rules: factual firm and partner pages, and accurate, dated tax and compliance explainers.
Gunakesh Parmar ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
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.
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.
Why AI assistants state false things even when citing sources, what hallucinations look like for a business, and how to find and fix them.
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.
Answer-first structure, chunking, tables, JSON-LD, entity resolution, llms.txt, AI crawler rules, freshness dates and IndexNow.
One-day on-site AEO and GEO workshop for marketing, content and development teams, led by Brilad's co-founders.
Generative Engine Optimization: AI crawler access, entity grounding, citable content and AI citation tracking for ChatGPT, Perplexity and Gemini.