The AI Search Academy is Brilad’s set of guides on how Google, answer engines and AI assistants find, read and choose the pages they show. Each guide explains one part of the process in plain terms and then states what it means for a website. The guides are grouped into three topics.
How AI search works
What happens between a question and an AI answer. Read the overview, or go straight to a topic:
- Retrieval-augmented generation (RAG)
- Query fan-out
- The lost-in-the-middle effect
- Embeddings and cosine similarity
- AI hallucination and grounding
- Context windows and token budgets
- Zero-click searches and multi-source AI answers
- Dense retrieval and re-ranking
- Multi-turn intent and latent constraints
Technical architecture
The parts of a website that decide whether crawlers and language models can use it. Read the overview, or go straight to a topic:
- What is llms.txt?
- AI crawlers and robots.txt
- JSON-LD schema for AI search
- Entity resolution, sameAs and Wikidata
- Content chunking for AI retrieval
- Freshness signals: dates, dateModified and sitemaps
- Tables and data-dense formatting
- IndexNow
- NAP consistency
- Knowledge graphs
- Machine readability and clean HTML
Content that gets cited
What makes a page worth ranking and quoting. Read the overview, or go straight to a topic:
- Information gain
- E-E-A-T for AI search
- First-party evidence and original research
- Trust signals and risk reversal
- Quotability (a Brilad concept)
- Brand mentions and co-occurrence
- Conversion-ready pages (a Brilad checklist)
How these guides are written
Where a guide describes how a system works, it names the source: Google’s documentation, the research paper, or the company’s published crawler list. Where a point is our own working method rather than an established fact, the guide says so. AI search changes quickly, and we revise the guides when the underlying systems change.
If you would rather have this applied to your own site, the AI Search Audit is the usual starting point, and the training workshop covers the same material for in-house teams.