AI Search Optimisation (GEO) for Tradies

Google's AI Overview scrapes the web and synthesises an answer for the user before showing any links. ChatGPT and Perplexity do the same with their own crawlers. If your website is not structured to be read by these systems, you are invisible in the new layer of search.

GEO for tradies focuses on two outcomes: getting cited as a recommended business in your trade category, and providing the authoritative answers that position your brand as the local expert AI systems choose to reference.

Why Traditional SEO Is Not Enough for AI Search

Traditional SEO optimises for blue link rankings. GEO optimises for being cited in the zero-position AI answer. The tactics overlap, good structured content helps both, but GEO requires specific formatting, fact density, and schema signals that most SEO agencies are not yet building into tradie sites.

Only Google's Gemini renders JavaScript. ChatGPT, Claude, and Perplexity see the raw HTML of your page. If your content is hidden behind client-side rendering, these systems cannot read it and cannot cite you.

1. 1

   Direct Answer Blocks

   40-60 word answers to the questions your customers ask ('How much does X cost in [city]?') placed early in each page. This is the primary citation trigger for Google's AI Overview.

2. 2

   Fact-Dense Copy

   AI systems trust pages with specific entities: numbers, suburb names, trade certifications, years in business, real job types. We replace vague marketing claims with specific, verifiable facts.

3. 3

   FAQ Schema Markup

   FAQPage schema in JSON-LD tells Google exactly which questions and answers on your page are structured Q&A content, making them easier to extract for AI Overview answers.

4. 4

   LLM-Readable Page Structure

   An /llm-info page and /llms.txt file that give AI crawlers structured business facts in a format designed for machine reading, making citation faster and more accurate.

Named Entities and Local Signals

AI systems trust content that contains verifiable entities: specific suburb names, named team members, trade certifications like a Restricted Electrical Licence number, real customer outcomes, and precise service descriptions rather than generic category claims.

• Name the tradies on your team with their trade, role, and years of experience
• List your specific licence numbers and certifications clearly on every relevant page
• Describe real job types you do in specific suburbs, not just generic service categories
• Include the names of suppliers, brands, and equipment you work with
• Reference the local trade association or body you are a member of

An AI system reading your website asks the same question a senior journalist would: is this specific? Can I verify it? Does it directly answer what the user asked? Vague, generic tradie copy fails that test every time.

Every GEO engagement starts with an audit of how your current website reads to AI systems. We test your pages against the crawlers that ChatGPT, Perplexity, and Google AI Overview use to index content.

• Is your content server-rendered so AI crawlers can actually read it?
• Do your pages include structured 40-60 word answer blocks for common questions?
• Is FAQPage schema present and validating correctly against schema.org?
• Do you have an /llm-info page and /llms.txt with structured business facts?
• Are your pages fact-dense with specific entities, or vague and generic throughout?
• Are there AI-readable trust signals: named team members, licence numbers, real outcomes?

GEO is not an overnight result, but it moves faster than traditional SEO for one reason: AI systems update their citation sources more frequently than Google's standard ranking algorithm cycles. Here is a realistic picture of the first three months.

1. 1

   Days 1-14: GEO Audit and Content Gaps

   We crawl your site as AI systems do, identify pages with thin or generic content, find missing direct-answer blocks, and document every schema gap. You get a prioritised fix list before any content changes are made.

2. 2

   Days 15-30: Server-Render Fix and Schema Build

   Any JavaScript-gated content is moved to server-rendered HTML. FAQPage, LocalBusiness, and Service schema are added or corrected. The /llm-info page and /llms.txt are created with structured business facts.

3. 3

   Days 31-60: Direct Answer Blocks Across Key Pages

   We write 40-60 word answer blocks for the highest-value questions your customers ask: cost, availability, specific services, licences held. These are placed early in the relevant pages, not buried at the bottom.

4. 4

   Days 61-90: Fact-Density Pass and Citation Monitoring

   We review all major pages for fact density, replacing vague claims with specific entities. We begin monitoring AI Overview, ChatGPT, and Perplexity results for your primary trade and suburb queries to track citation appearances.

Most tradie websites we audit have content that is structurally invisible to AI systems. These are the most common reasons a business that ranks well organically still does not appear in AI-generated answers.

• All content loaded via JavaScript, AI crawlers see a blank page and move on
• No direct-answer blocks: pages describe services but never directly answer 'how much does this cost?' or 'how long does this take?'
• FAQ schema absent or invalid, AI systems cannot identify structured Q&A content on the page
• No named team members, licence numbers, or specific certifications, the content lacks verifiable entities AI systems treat as trust signals
• Generic copy that could describe any tradie in any city, no suburb names, no specific job types, no real outcomes
• No /llm-info page or /llms.txt, AI crawlers have no structured summary of who the business is and what it does
• Duplicate or thin suburb pages that AI systems identify as low-value and skip in citation consideration

A tradie website that says 'we provide quality electrical services across the metro area' tells an AI system almost nothing it can verify or cite. A page that says 'our licensed electricians hold Restricted Electrical Licence numbers in WA and have completed switchboard upgrades in Subiaco, Claremont, and Cottesloe' gives the AI system something real to work with.