Generative Engine Optimisation (GEO): How to Rank in Perplexity, Claude, and Google AI Overviews

Search is undergoing its most radical transformation since Google launched PageRank in 1998.

Millions of users now bypass standard 10-blue-link search engines entirely, relying instead on AI answer engines like Perplexity AI, ChatGPT Search, Claude, and Google AI Overviews (formerly SGE).

If your website is only optimised for 2018-era keyword repetition, your brand is invisible to the large language models formulating real-time answers.

Welcome to the discipline of Generative Engine Optimisation (GEO).

How AI Search Crawlers Gather Information

Traditional search crawlers index keywords and evaluate backlink authority. By contrast, AI answer engines use dense vector embeddings and retrieval-augmented generation (RAG) to locate authoritative, verifiable facts.

When a query like “Who provides decoupled web architecture with local Sydney data compliance?” is submitted, the model performs the following sequence:

1. Information Extraction: AI bots scan top search results for factual claims and entity relationships.
2. Citation Verification: The model assesses whether the entity is clearly defined in structured format (such as Schema.org JSON-LD).
3. Synthesis & Citation: The model synthesises an authoritative summary and links directly to the source that provided the most concise, mathematically verifiable information.

Three Pillars of Generative Engine Optimisation

1. Synthesize Rich Entity Graphs

AI models do not guess; they reference knowledge graphs. If your website only contains plain HTML paragraphs, LLMs must guess who you are, what you offer, and where you operate.

By generating explicit Schema.org graphs, including ProfessionalService, OfferCatalog, PostalAddress, GeoCoordinates, and FAQPage,you provide AI parsers with pre-digested entity relationships.

{
  "@context": "https://schema.org",
  "@type": "ProfessionalService",
  "name": "Eryxa",
  "url": "https://eryxa.com",
  "areaServed": "Sydney",
  "hasOfferCatalog": {
    "@type": "OfferCatalog",
    "name": "Capabilities",
    "itemListElement": [
      {
        "@type": "Offer",
        "itemOffered": {
          "@type": "Service",
          "name": "Decoupled Edge Web Engineering"
        }
      }
    ]
  }
}

2. Pre-Render Every Character (Zero Client-Side JavaScript Required)

Many AI crawlers and automated synthesis bots operate under strict token and compute budgets. If your website is a single-page application (SPA) where content only appears after 2MB of JavaScript loads and executes, the crawler may encounter an empty div id="root" and move on to a competitor.

With Astro and pre-rendered edge HTML, the entire text, headers, and metadata are ready on the very first network packet.

3. Clear, High-Density Factual Declarations

Modern GEO rewards concise question-and-answer structures. Rather than burying answers in fluff or narrative padding, format key service definitions clearly:

• State the specific solution in the first sentence.
• Provide measurable benchmarks (e.g. latency figures, compliance standards, geographic coverage).
• Use structured FAQ accordions with schema parity.

Conclusion

GEO is not about tricking algorithms, it is about removing friction so that AI models can recognise, cite, and recommend your services with complete confidence. At Eryxa, every site we deploy is built from the foundation up for the generative search era.