How interior designers and architects get found in search and AI answers: descriptive project pages, honest cost and process guides, credentials, Business Profile and reviews.
Rohit Bhisey ·
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 ·
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 turn a webinar or event into content search engines and AI assistants can use: an edited article, a Q&A page from real audience questions, a properly published video and a lasting event page.
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 ·
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 ·
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 ·
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 ·
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 ·
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 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 Google has actually documented about AI Mode, what remains guesswork, and five strategy decisions that follow from the facts.
Gunakesh Parmar ·
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 ·
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 ·
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 ·
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 ·
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.
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 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 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 ·