Definition

    What is AI Search Optimisation?

    The discipline of getting your brand discovered, parsed, and cited by AI search engines like ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews.

    AI search optimisation is the practice of structuring a brand's content, entities, and trust signals so AI search engines can discover, understand, and cite the brand when generating answers.

    Stop chasing rankings. Start earning citations.

    Why AI search changes the rules

    Search is moving from a list of ten blue links to a single generated answer. When ChatGPT or Perplexity answers a question, only a handful of sources get cited. Everyone else is invisible.

    AI search optimisation makes sure your brand is in that short list. It is the difference between being part of the answer and being absent from it.

    Signals AI engines reward

    • 1.Entity clarity. One unambiguous identity across your site and the web.
    • 2.Structured data. JSON-LD that encodes who, what, where, and why.
    • 3.Atomic answers. Self-contained paragraphs that AI can lift verbatim.
    • 4.Consistency. Same facts, same names, same definitions everywhere.
    • 5.Crawlability. Server-rendered or static HTML that does not require JavaScript.
    • 6.External references. Mentions and links from sources AI engines already trust.
    • 7.Authority pages. Defined-term documents that act as the source of truth.

    The BrandWolf method

    Audit

    Measure current citations across ChatGPT, Perplexity, Claude, and Gemini. Find the gaps.

    Entity layer

    Lock down the brand entity. Organization, founders, services, locations, all linked in a single schema graph.

    Authority layer

    Defined-term pages on every concept that matters. The pages AI quotes when asked about your category.

    Commercial layer

    Service and case pages structured as quotable answers, not generic copy.

    Measurement

    Track citations, share of voice across engines, and the queries that surface your brand.

    Frequently asked questions

    AI search optimisation is the practice of structuring your website, content, and entity signals so AI search engines like ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews can find, parse, and cite your brand when generating answers. It replaces ranking with reference.

    Traditional SEO optimises for blue links and Google's top ten. AI search optimisation optimises for citation inside generated answers. Both rely on crawlability, but AI search rewards entity clarity, structured data, and quotable atomic answers over keyword density and backlinks alone.

    ChatGPT (OpenAI), Perplexity, Claude (Anthropic), Gemini and Google AI Overviews, Microsoft Copilot, and Meta AI. They share common signals: clear entity definitions, structured JSON-LD, consistent facts across the web, and content that answers a single intent per page.

    Yes. AI engines are global by default but read location signals from your schema, hreflang, and content. We tag every page with en-AU and explicit location entities so Australian businesses get cited in market-relevant answers.

    Initial citations appear within 4 to 12 weeks of fixing entity clarity and shipping structured authority pages. Compounding visibility takes 6 to 12 months as your entity graph hardens and external references accumulate.

    An audit of your current AI visibility, a fix list for entity, schema, and content gaps, an authority layer of defined-term pages, and ongoing measurement of citations across the major AI engines.