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Digital Marketing & SEO · Wollongong
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Simon Bayliss
2026 AI Search Specialist — Wollongong · Sydney

AI Search Optimisation
Get Recommended by ChatGPT, Perplexity & Google AI Overviews

Answer-engine optimisation and generative search strategy, delivered directly by Simon Bayliss

Last reviewed: August 2026 — reflecting live search performance data and current AI-search recommendation engines.

High search impressions with zero website clicks?

Conversational AI engines are answering buyer questions directly before a website visit occurs.

I'm Simon Bayliss. I structure your commercial entity, structured data, and proof signals so AI models cite your business inside the recommendation answer.

What is AI Search Optimisation? AI Search Optimisation (which includes Answer Engine Optimisation and Generative Engine Optimisation) is the practice of structuring your website, business data, and brand citations so generative engines (ChatGPT, Perplexity, Google AI Overviews, Claude, and Gemini) recommend your business when prospective clients ask for top service providers.

Search behaviour is changing rapidly. Google AI Overviews now answer complex commercial questions directly at the top of search results, while ChatGPT, Perplexity, and Gemini provide direct business recommendations without requiring users to browse traditional ten-blue-link pages.

That fundamentally changes search strategy. I treat AI search visibility as an evolution of strategic search engine marketing. I combine structured schema architecture, entity clarity, verifiable E-E-A-T proof signals, and commercial conversion paths to help regional and metropolitan businesses ensure their brand is named when an AI model narrows down customer options.

Creative Orbit is based in Keiraville, Wollongong. You collaborate directly with me—from initial competitive diagnostic through execution. No junior account managers, no inflated presentation decks—just clear data, direct access, and a structured 90-day action plan.

📍 Wollongong-based 🎯 Sydney · Illawarra · Regional NSW ⚡ Direct senior practitioner
Get My Growth & AI Visibility Diagnostic Book a 20-minute call with Simon

Includes search query analysis, AI recommendation baseline (ChatGPT, Perplexity, Google AI Overviews), and a clear 90-day roadmap.

What Is AI Search Optimisation?

AI Search Optimisation makes your business easy for conversational answer engines to understand, verify, and recommend. While traditional SEO focuses on earning high placements in a list of web links, AI search optimisation focuses on securing your place in the generated summary, recommendation list, or buyer decision matrix.

It builds upon strong technical foundations. Your digital presence must be crawlable, accurate, and clear about your service capabilities, operating locations, and commercial proof. From there, we implement machine-readable schema markup, concise direct-answer copy, authoritative entity connections, and verifiable third-party citations that prove your real-world capability.

For established businesses, an AI search strategy does not replace traditional search engine optimisation;it extends it. The companies that capture consistent lead flow will be visible in standard search listings while remaining credible enough to be selected when an AI engine presents a single recommended provider.

Why Illawarra & Sydney Businesses Need AI Search Visibility:
  • Google AI Overviews occupy primary search real estate, answering buyer intent at the top of the page.
  • ChatGPT and Perplexity are handling local discovery queries (e.g., "Who is a reliable commercial lawyer in Wollongong?").
  • Zero-click searches are increasing—buyers frequently evaluate recommended names directly within the search interface.
  • The primary goal has evolved from appearing on a results page to being cited, named, and recommended inside the answer.
  • Most local agency competitors still treat AI search as an after-thought, creating a first-mover advantage for proactive brands.

Why AI Search Is Fundamentally Different

Having spent over 15 years in digital search strategy, I have watched search evolve from document indexing to intelligent synthesis engines. Traditional search engine results required users to click through multiple links to evaluate options. Generative engines filter and present the initial shortlist for users.

This phenomenon is why a site that ranks reasonably well in standard search is not guaranteed to appear in AI recommendations. Language models require high entity confidence, explicit service-location mapping, and external validation to cite a business with authority. Ambiguous sales copy rarely provides that confidence.

“The old paradigm was ranking on Page 1. The modern paradigm is being named in the answer. If an AI engine answers a client's question and omits your brand, a standard ranking loses much of its commercial power.”

This creates a distinct advantage for regional businesses. A well-structured, highly authoritative Wollongong operator can out-position generic metropolitan competitors in AI recommendation summaries by providing clearer structured data and verifiable local authority.

The Four Pillars of AI Search Optimisation

AI search optimisation integrates four connected disciplines to ensure your business is accurately parsed, cited, and recommended across modern platforms.

1

Answer Engine Optimisation (AEO)

AEO structures your core service pages for direct answer extraction in Google AI Overviews, featured summaries, and voice search queries, ensuring your core business claims are clear and supported by evidence.

  • Question & Answer JSON-LD Schema markup
  • Featured snippet and direct-answer copy formatting
  • Google AI Overview content positioning
  • FAQPage and service entity mapping
  • Concise service definitions backed by client proof
  • Commercial keyword intent alignment

Common Audit Gap: Many websites hide primary answers deep within marketing copy. Answer engines require clear claims, location qualifiers, and supporting evidence positioned cleanly near the top of the page.

2

Generative Engine Optimisation (GEO)

GEO focuses on building citation authority inside generative platforms such as ChatGPT, Perplexity, and Claude, establishing an off-page footprint that allows models to verify your commercial expertise.

  • Named entity and service territory definitions
  • Source-worthy industry insight guides and case studies
  • Author, publisher, and organisational authority signals
  • Third-party citation benchmarking against local competitors
  • Local recommendation prompt optimisation
  • Verifiable client testimonials and project outcomes

Key Insight: Generative models cross-reference information across multiple digital channels. Businesses that are consistently named across external directories, news outlets, and client reviews earn higher citation priority.

3

LLM Optimisation (LLMO)

LLMO works at the model level, structuring brand identity so Large Language Models correctly interpret your core offerings, geographic coverage, and specialty capabilities during information retrieval.

  • Unambiguous corporate and service categorisation
  • Entity disambiguation for brand names and location NAP
  • Topical depth around primary commercial services
  • Structured E-E-A-T credentials and founder expertise
  • Retrieval-ready site architecture for search crawlers
  • Brand accuracy tracking inside conversational responses

Why It Matters: LLMs fill information gaps with probabilities. LLMO eliminates ambiguity by providing structured, verified business data wherever the model crawls.

4

Agentic Optimisation (AO)

AO prepares your digital platforms for autonomous AI agents that research, compare, and initiate transactions on behalf of prospective buyers.

  • Structured pricing, service inclusions, and delivery details
  • Clear enquiry, booking, and quote request pathways
  • Machine-readable contact and operational information
  • Trust markers, security policies, and service terms
  • E-commerce feed alignment for automated product lookup
  • Structured client review and outcome data

Commercial Reality: Autonomous agents cannot evaluate vague sales pages lacking clear contact paths or service details. Transparent, structured data enables automated decision-making.

The AI Search Dynamics: Real Site Performance Data

Evaluating performance requires analysing real search data. Below is 90 days of Google Search Console performance data from Creative Orbit's search footprint.

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Creative Orbit — Search Baseline

21,919 AI-query impressions, 41 clicks, 0.187% CTR

High-volume conversational AI queries generate significant impression visibility. Answers are frequently synthesised on-screen before a user initiates a traditional site click. Read the full analysis →

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Position 3.2 — Zero-Click Behaviour

“AI SEO Audit Sydney” — Top of Page 1, 50 impressions, 0 clicks

Illustrates modern search mechanics: ranking position is decoupled from click volume for informational queries, emphasising the importance of direct brand inclusion in the answer text.

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Illawarra Professional Services Client

3x citation increase across ChatGPT & Perplexity in 6 weeks

Implementing structured JSON-LD Schema and entity-based service rewrites yielded measurable lifts in brand recommendations across major generative engines.

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B2B Manufacturing Client

Secured primary named recommendation in ChatGPT

This shift has moved us from being unranked in conversational search to being the primary named recommended supplier for specialised industrial queries.