The next generation of your customers is not opening Google — they are asking ChatGPT, Claude, Perplexity, and Gemini. If these AI assistants do not know your trade business exists, you are invisible to an audience that grows every single day. GEO makes sure they cite you.
Generative Engine Optimisation, or GEO, is the process of making sure AI assistants like ChatGPT, Claude, Perplexity, and Google Gemini understand your business and recommend you when users ask for a tradie. Instead of optimising for a blue-link search results page, GEO optimises for the synthesised answer that an AI gives a user — an answer that may name only one or two businesses in an entire region.
The shift is already happening. When someone asks ChatGPT "who is the best plumber in Brisbane," it does not return ten options — it returns one or two names with a short recommendation. That answer is built from the AI's training data, real-time web browsing, entity graphs, and the structured signals it pulls from your online presence. If your business lacks the signals that LLMs trust, you simply do not appear, no matter how good your Google rankings are.
For trade businesses across South East Queensland, GEO is the difference between being the tradie an AI recommends and being the one it forgets. And because most local competitors are not yet optimising for this at all, the window to establish authority with AI assistants is wide open — exactly like SEO was in the early 2000s. GEO is not a replacement for traditional SEO, it is the next layer on top, and the tradies who build it now will own AI visibility for years.
If any of these sound familiar, a rapidly growing share of your potential customers are being routed straight to your competitors.
A growing share of homeowners now ask ChatGPT or Perplexity for a tradie before opening Google. If your business is not in the entity graph these assistants rely on, you are invisible at the exact moment of highest intent. This is happening every day — and you cannot see it in Google Analytics.
AI assistants typically recommend one or two businesses per query, not a list of ten. That means if a competitor has stronger entity signals than you, they capture the entire AI-sourced lead while you get nothing. In AI answers there is no second page, no "also consider" — you are the recommendation or you do not exist.
Modern AI answers often satisfy a user without them ever visiting a website. If an AI summarises your competitor's service, pricing, and service areas directly in the chat, the customer calls them without clicking anything. These zero-click conversions are invisible in analytics but very visible in your competitor's booked jobs.
Traditional SEO alone optimises for a single search engine that is steadily losing market share to AI assistants. Google's own AI Overviews now answer many queries without any link clicks at all. A strategy that ignores GEO is a strategy with a shrinking audience. The tradies who adapt now will own AI visibility for years — the ones who wait will pay far more to catch up.
Every element of our GEO service is purpose-built for how large language models discover, evaluate, and cite local businesses. No recycled SEO tactics, just specialised work designed for the new layer of search.
We map and strengthen every signal that feeds your business into LLM entity graphs — the internal knowledge structures AI assistants use to decide who to recommend. This covers consistent name, address, phone, website, categories, and service areas across every platform LLMs ingest.
We implement and maintain comprehensive JSON-LD schema markup optimised specifically for language model parsers. This includes LocalBusiness, Service, FAQPage, BreadcrumbList, and Organization schemas tuned to give AI assistants unambiguous, machine-readable answers about your business.
We create and maintain a purpose-built llms.txt file for your site — the emerging standard that guides AI crawlers to your most important content. This gives AI assistants a clean, pre-structured summary of your business, service offering, and priority pages, improving the chance of accurate citation.
LLMs preferentially cite content that is authoritative, specific, and directly answers a user question. We produce long-form service explainers, technical guides, and local-context articles that become the sources AI assistants pull from — making your site a default citation for your trade and service area.
FAQ schemas are one of the highest-signal content formats for AI assistants. We deploy structured FAQ markup across every key page, tuned to the specific questions homeowners actually ask LLMs when researching your trade. This maximises your chance of being the cited answer.
We restructure your most important pages into question-first, answer-first formats that AI assistants can extract cleanly. Every service page, location page, and guide is engineered around the real questions homeowners ask — increasing your likelihood of direct citation by ChatGPT, Perplexity, Claude, and Gemini.
LLMs build authority from brand mentions across the web, not just backlinks. We track where your business is mentioned, identify high-authority platforms missing your name, and run outreach to build the citation footprint that AI assistants use as a credibility signal — including industry directories, publications, and partner sites.
We run automated agents that query ChatGPT, Claude, Perplexity, and Gemini with hundreds of real customer-style questions every month — tracking which businesses are recommended and cited. You see exactly where you appear, where competitors appear, and what gaps to close. This is AI visibility intelligence no traditional SEO tool provides.
When a user asks an AI assistant for a tradie recommendation, the assistant does not search a list — it constructs an answer from an internal entity graph. This graph is a network of facts, relationships, and trust signals connecting business names to services, locations, reviews, and authority markers. Businesses with dense, consistent, well-structured entities appear often. Businesses with thin or contradictory signals are skipped.
The signals that feed an entity graph are different from the signals that feed Google's ranking algorithm. Google cares about keywords on pages, backlink count, and click-through rates. LLMs care about entity consistency across every mention of your business, how often trusted third-party sources cite you, whether your structured data is unambiguous, and whether your content directly answers user questions. A trade business can rank on page one of Google and still be completely absent from AI answers if its entity signals are weak.
GEO is the discipline of systematically building those entity signals. It is slower than paid advertising but far more durable than traditional SEO because once an LLM has learned your business as a trusted entity, it tends to recommend you consistently across many different customer queries. That compounding effect is why first-movers in GEO will dominate AI visibility for years — the entity graph remembers.
Our GEO process is methodical, measurable, and designed to compound over time. Every phase builds the entity signals LLMs rely on when deciding which tradies to recommend.
We begin by running your business through ChatGPT, Claude, Perplexity, and Gemini with hundreds of real customer-style queries — "emergency plumber Brisbane," "best electrician in Logan," and many more. We document which businesses each AI recommends, where you appear (if at all), and what entity signals your competitors have that you do not. This phase produces a baseline GEO scorecard and a prioritised gap list.
We resolve every entity inconsistency across your online presence — name, address, phone, categories, service areas, website URL — and deploy comprehensive structured data tuned for LLM parsing. We create and install your llms.txt file, add FAQ schemas at scale, and ensure every signal an AI assistant could read about your business points to the same clean, unambiguous truth.
We produce citation-worthy long-form content tuned to the exact questions customers ask AI assistants. We also run brand mention outreach to build your footprint on the high-authority platforms LLMs weight most heavily. This is where your business transitions from "technically optimised" to "genuinely authoritative" in the entity graph.
Every month we re-query the major AI assistants with the same test battery, measure your mention and citation rates, track competitor movements, and adjust strategy. GEO is not a set-and-forget project — AI assistants update their training and live indexes constantly, and the businesses that stay visible are the ones with active, data-driven monitoring.
Understanding where GEO fits alongside traditional channels helps you make smarter decisions about where to invest your marketing budget as AI reshapes how customers find services.
GEO vs SEO: SEO optimises for Google's traditional blue-link results, where users scan multiple options and click through. GEO optimises for AI-generated answers, where users receive a single synthesised recommendation. Both matter — SEO for the Google traffic you are still getting, GEO for the growing share of customers researching via AI. The overlap between the two is real (schema, entity consistency, authoritative content) but the differences are large enough that GEO requires its own strategy and specialist tactics.
GEO vs Google Ads: Google Ads deliver immediate visibility in Google results. GEO delivers compounding visibility across every major AI assistant. Ads stop the moment you stop paying. GEO investments build entity signals that persist in the LLM entity graph for months or years after the work is done. For most tradies the right approach is both — ads for immediate fill, GEO for the long-term asset.
GEO vs Traditional Content Marketing: Traditional content marketing targets human readers and hopes for organic rankings. GEO content is dual-purpose — it is written to be read by humans and structured to be parsed cleanly by LLMs. That means question-first formatting, explicit entity tagging, FAQ schemas, and direct answer blocks that AI assistants can extract and cite. The content looks similar on the surface, but the engineering behind it is entirely different.
Generative Engine Optimisation, or GEO, is the practice of optimising your business's online presence so that AI assistants like ChatGPT, Claude, Perplexity, and Google Gemini recommend and cite your business when users ask questions. Unlike traditional SEO, which focuses on Google's ranking algorithm, GEO focuses on how large language models build entity graphs, which sources they trust, and how they summarise businesses when generating answers. For trade businesses, GEO means appearing in AI-generated recommendations when a homeowner asks ChatGPT "who is a good plumber in Brisbane" or Perplexity "find me an electrician near Fraser Coast."
SEO optimises for Google's search results page, where users click through a list of blue links. GEO optimises for AI-generated answers, where users receive a single synthesised response citing one or two recommended businesses. SEO tactics centre on keywords, backlinks, and page rankings. GEO tactics centre on entity consistency, structured data that LLMs can parse, citation-worthy authoritative content, FAQ schemas, llms.txt configuration, and Answer Engine Optimisation. Both matter in 2026 — SEO for the users still clicking Google links, GEO for the growing share researching services via AI assistants. See our SEO service for the other half of the picture.
Yes, and increasingly so. ChatGPT, Perplexity, Claude, and Gemini all now provide local business recommendations when asked. Perplexity and ChatGPT search browse the live web in real time and cite specific businesses. Claude references businesses from its training data and connected search tools. Gemini uses Google's knowledge graph directly. If your business has strong entity signals — consistent name, address, phone across the web, structured data, authoritative content, and presence in the LLM training data — you are far more likely to be the business these assistants name when a customer asks for a recommendation.
GEO measurement is newer than SEO but uses several established methods. We track mention monitoring across AI assistants using test queries run monthly across ChatGPT, Claude, Perplexity, and Gemini. We measure referral traffic from AI sources through server logs and analytics tagged with AI crawler user agents. We track brand mention volume and sentiment across the web since LLMs index these as authority signals. We also monitor your entity graph strength through structured data validation, knowledge panel presence, and citation coverage. You receive a monthly GEO report showing mentions per assistant, query coverage, and traffic attribution.
GEO is at the same stage SEO was in 2005 — early, high-leverage, and low-competition. Less than 5% of Australian trade businesses have any dedicated GEO strategy, which means first-movers capture outsized visibility in AI assistants. Waiting until competitors catch on means paying significantly more to overtake them later, exactly what happened to businesses that ignored SEO in the 2000s. AI assistant usage for local business research is growing around 200% year-on-year across Australia. Every month you wait is a month your competitors may be building the entity signals that LLMs will rely on for years.
llms.txt is an emerging standard that sits at the root of your website, similar to robots.txt, but aimed specifically at large language models. It tells AI crawlers which content on your site is most important and how to understand your business. A well-crafted llms.txt file includes your business description, service summary, area served, and priority pages for LLM ingestion. While not yet a universal standard, it is already being honoured by several AI crawlers including those used by Anthropic, Perplexity, and experimental Google systems. Setting it up now is low-effort and future-proofs your AI visibility.
Yes, though the mechanisms are different from Google rankings. ChatGPT Search and Perplexity browse the live web and cite sources in their answers. To appear in these citations, your content needs to be authoritative, recent, well-structured, and directly answer the kinds of questions users ask. This is where FAQ schemas, question-based H2 headings, clear business descriptions, and consistent entity signals across the web all combine. GEO also includes optimising for your presence in Wikipedia-style knowledge sources and third-party directories that LLMs trust as authoritative.
GEO builds on top of strong SEO and Google Business Profile foundations rather than replacing them. Many signals overlap — schema markup, entity consistency, authoritative content, and citation volume all help both channels. However, GEO requires additional layers: entity graph tuning for LLM parsers, llms.txt, AI-friendly FAQ structures, and monitoring across AI assistants. For most trade businesses, GEO works best as an add-on to existing SEO and GBP management, creating a single coordinated strategy that dominates both traditional search and AI answer engines. View our GBP management service for more detail on how the foundation layer supports GEO.
We deliver Agentic AI-powered GEO strategies across every major region in SEQ and the Fraser Coast. Each area has its own competitive landscape and its own AI visibility gaps, and we tailor our approach accordingly.
Our GEO service can be engaged as a standalone specialisation or layered on top of our Growth and Dominate packages for a fully integrated search and AI visibility strategy. View pricing details to find the right package for your business.
GEO is most effective when it sits on top of strong traditional search and on-site foundations. Together, these services create a complete visibility strategy across Google, AI assistants, and direct customer touchpoints.
Traditional SEO captures the customers still using Google's blue-link results. GEO and SEO share many foundations but solve different problems — run both to dominate every form of search.
SEO services for tradiesYour GBP is one of the strongest signals LLMs use when building local entity graphs. Consistent, authoritative, well-managed GBPs are cited by AI assistants far more often than neglected ones.
Google Business Profile managementAI assistants need a technically sound, structured-data-rich website to ingest. Our website development pairs perfectly with GEO, building the on-site foundation LLMs need to understand and cite you correctly.
Website design for tradiesBook your free AI visibility audit and we will run your business through every major AI assistant, show you where you appear (and where you don't), and map out exactly how GEO will change that.
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