Most businesses become visible in AI search the same way — by building the right signals in the right order. This AI Search Optimization guide covers every step: entity foundation, schema markup, content strategy, local AI search, multimedia visibility, authority building, and ongoing monitoring. Twelve steps. In sequence. From a website AI ignores to one it consistently cites.
Most businesses have never checked what AI says about them. They track Google rankings, monitor traffic, and follow keyword positions — but they have never opened ChatGPT or Perplexity, typed the question their ideal customer would ask, and seen whether their business appears in the answer. That gap is becoming expensive. This guide walks you through the exact five-step test to run today — free, no tools required — and what your results mean for your digital strategy.
AI search doesn’t rank pages — it selects sources. Ten practical how-to guides covering everything that actually matters in 2026: writing AI-citable content, building entity authority, getting into Google AI Overviews, optimising for AI local search, tracking AI citations, and running a 5-layer readiness audit for your entire website.
The 6 schema types that make AI assistants cite your content. Practical JSON-LD guide for FAQPage, Article, HowTo, Product, and entity schemas.
Core Web Vitals, indexing, and crawl budget have been foundational to technical SEO for years. In 2026, they still matter — but how they interact with AI search, indexing priorities, and page experience signals has evolved significantly. Sachin Saxena breaks down what’s changed, what still holds, and where to focus your technical SEO efforts.
Making your website visible to AI search engines requires two things working together: crawlability and interpretability. Traditional technical SEO ensures bots can find your pages. AI search demands more — your content must be structured, semantically clear, and machine-readable at the meaning level. Sachin Saxena breaks down what that means in practice.