# Brilad

> SEO, AEO, GEO and AI development consultancy in India.

Locations: Pune and Mumbai
Website: https://www.brilad.com/

## Services

- [AEO, GEO & SEO Services](https://www.brilad.com/services/)
- [SEO Services](https://www.brilad.com/services/seo/): Technical and enterprise SEO: crawl health, Core Web Vitals, site architecture and intent-based keyword mapping.
- [AEO Services (Answer Engine Optimization)](https://www.brilad.com/services/aeo/): Answer Engine Optimization: answer-first content, question schema and formatting that wins featured snippets and voice answers.
- [GEO Services (Generative Engine Optimization)](https://www.brilad.com/services/geo/): Generative Engine Optimization: AI crawler access, entity grounding, citable content and AI citation tracking for ChatGPT, Perplexity and Gemini.
- [AI Search Audit](https://www.brilad.com/services/ai-search-audit/): A full check of your visibility across Google, answer engines and AI assistants, with a prioritised fix list.
- [AI Development Services](https://www.brilad.com/services/ai-development/): AI-ready WordPress, Next.js and Laravel development, plus MCP servers and AI integrations.

## AI Search Academy

- [AI Search Academy](https://www.brilad.com/learn/)
- [How AI Search Works](https://www.brilad.com/learn/ai-search-mechanics/): Retrieval-augmented generation, query fan-out, embeddings, re-ranking, context windows, the lost-in-the-middle effect and AI hallucination.
- [Retrieval-Augmented Generation (RAG) Explained](https://www.brilad.com/learn/ai-search-mechanics/retrieval-augmented-generation/): How retrieval-augmented generation works, where pages drop out of AI answers, and how to make content easier for RAG systems to use.
- [Query Fan-Out: How AI Search Splits a Question](https://www.brilad.com/learn/ai-search-mechanics/query-fan-out/): 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.
- [The Lost-in-the-Middle Effect in Language Models](https://www.brilad.com/learn/ai-search-mechanics/lost-in-the-middle/): 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.
- [Embeddings and Cosine Similarity in Search](https://www.brilad.com/learn/ai-search-mechanics/embeddings-cosine-similarity/): What embeddings and cosine similarity are, how search systems use them to match meaning, and what that means for how you write pages.
- [AI Hallucination and Grounding: What It Means for Brands](https://www.brilad.com/learn/ai-search-mechanics/hallucination-grounding/): Why AI assistants state false things even when citing sources, what hallucinations look like for a business, and how to find and fix them.
- [Context Windows and Token Budgets in AI Search](https://www.brilad.com/learn/ai-search-mechanics/context-windows-token-budgets/): 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.
- [Zero-Click Searches and Multi-Source AI Answers](https://www.brilad.com/learn/ai-search-mechanics/zero-click-searches/): How common zero-click searches are, how AI answers combine several sources, and what to measure when clicks no longer tell the whole story.
- [Dense Retrieval and Re-ranking Explained](https://www.brilad.com/learn/ai-search-mechanics/dense-retrieval-re-ranking/): How sparse retrieval (BM25), dense retrieval (DPR), hybrid search and cross-encoder re-ranking decide which passages reach an AI answer.
- [Multi-Turn Intent and Latent Constraints in AI Search](https://www.brilad.com/learn/ai-search-mechanics/multi-turn-intent-latent-constraints/): How follow-up questions and unstated buyer conditions shape AI searches, and how to write pages that match real buyer situations.
- [Technical Architecture for AI Search](https://www.brilad.com/learn/technical-architecture/): Answer-first structure, chunking, tables, JSON-LD, entity resolution, llms.txt, AI crawler rules, freshness dates and IndexNow.
- [What Is llms.txt and Does It Help AI Search?](https://www.brilad.com/learn/technical-architecture/llms-txt/): 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.
- [AI Crawlers and robots.txt: Which Bots to Allow](https://www.brilad.com/learn/technical-architecture/ai-crawlers-robots-txt/): The training, search and user-fetch crawlers run by OpenAI, Anthropic, Perplexity, Google and others, and how to set robots.txt rules for each.
- [JSON-LD Schema for AI Search](https://www.brilad.com/learn/technical-architecture/json-ld-schema/): 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.
- [Entity Resolution, sameAs and Wikidata](https://www.brilad.com/learn/technical-architecture/entity-resolution-sameas-wikidata/): How search engines and AI systems decide that mentions refer to your company, and how consistent naming, sameAs and Wikidata fix confusion.
- [Content Chunking for AI Retrieval](https://www.brilad.com/learn/technical-architecture/content-chunking/): 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.
- [Freshness Signals: Dates, dateModified and Sitemaps](https://www.brilad.com/learn/technical-architecture/freshness-signals/): How visible dates, dateModified and sitemap lastmod work as freshness signals, what Google says about them, and when to update a page's date.
- [Tables and Data-Dense Formatting for AI Search](https://www.brilad.com/learn/technical-architecture/tables-data-density/): Why HTML tables and data-dense writing help search engines and AI assistants quote you accurately, and how to build tables machines can read.
- [IndexNow: Faster Indexing for Bing and AI Search](https://www.brilad.com/learn/technical-architecture/indexnow/): 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.
- [NAP Consistency: Name, Address and Phone for Local and AI Search](https://www.brilad.com/learn/technical-architecture/nap-consistency/): Why your business name, address and phone must match everywhere online, where to check in India, and how to fix inconsistencies.
- [Knowledge Graphs: How Search Engines Store Facts About Your Business](https://www.brilad.com/learn/technical-architecture/knowledge-graphs/): How knowledge graphs store facts as nodes and edges, how Google's Knowledge Graph and Wikidata work, and how to get your business represented.
- [Machine Readability and Clean HTML for AI Crawlers](https://www.brilad.com/learn/technical-architecture/machine-readability/): How crawlers read your HTML, why semantic elements matter, the truth about text-to-HTML ratio, and a five-step machine readability test.
- [Content That Gets Cited](https://www.brilad.com/learn/content-evaluation/): Information gain, E-E-A-T, first-party evidence, source attribution, trust signals and writing passages that can be quoted accurately.
- [Information Gain: Why Original Content Gets Cited](https://www.brilad.com/learn/content-evaluation/information-gain/): What information gain is, why AI assistants cite pages that add something new, and how to find the information only your business can publish.
- [E-E-A-T for AI Search](https://www.brilad.com/learn/content-evaluation/e-e-a-t/): What E-E-A-T means in Google's rater guidelines, why it matters to AI assistants, and a practical checklist for business websites.
- [First-Party Evidence and Original Research](https://www.brilad.com/learn/content-evaluation/first-party-evidence/): What first-party evidence and original research are, why AI assistants cite them, and how a services business can publish its own data properly.
- [Trust Signals and Risk Reversal on Business Websites](https://www.brilad.com/learn/content-evaluation/trust-signals/): The trust signals a business website should show, the ones that reduce trust, and how to offer risk reversal without false guarantees.
- [Quotability: Writing Passages AI Assistants Can Quote (a Brilad Concept)](https://www.brilad.com/learn/content-evaluation/quotability/): Brilad's six-question check for writing passages that AI assistants can quote on their own without losing accuracy or attribution.
- [Brand Mentions and Co-occurrence in AI Search](https://www.brilad.com/learn/content-evaluation/brand-mentions/): How brand mentions and co-occurrence shape what AI assistants associate with your company, what is documented, and where useful mentions come from.
- [Conversion-Ready Pages for AI Search Visitors (a Brilad Checklist)](https://www.brilad.com/learn/content-evaluation/conversion-ready-pages/): Brilad's eight-point checklist for pages that turn visitors from AI answers into enquiries, and how to measure AI referral traffic.

## Training

- [AEO and GEO Training for Company Teams](https://www.brilad.com/training/)

## Insights

- [Why Doesn’t ChatGPT Mention My Company? A 7-Point Diagnostic Checklist](https://www.brilad.com/why-chatgpt-does-not-mention-my-company/)
- [GEO vs SEO: What Actually Changes and What Stays the Same](https://www.brilad.com/geo-vs-seo/)
- [How to Check If AI Crawlers Can Access Your Website (With a Free Checker Script)](https://www.brilad.com/check-ai-crawler-access/)
- [Is Your React or Next.js Site Invisible to ChatGPT? We Tested Three Versions of the Same Page](https://www.brilad.com/react-nextjs-invisible-to-ai-crawlers-test/)
- [AEO and GEO by Industry: What Changes for SaaS, E-commerce, Healthcare, Finance and Research Publishers](https://www.brilad.com/the-rise-of-hybrid-engine-optimization-heo-sector-specific-playbooks/)
- [The Brilad HEO Framework: How We Run SEO, AEO and GEO as One System](https://www.brilad.com/the-definitive-guide-to-hybrid-engine-optimization-heo/)

## Contact

- [Contact](https://www.brilad.com/contact/)