ChatGPT SEO is the practice of making your business the one ChatGPT names when customers ask for recommendations. Here is the complete Australian playbook.
ChatGPT SEO is the practice of optimising your website and brand presence so that ChatGPT recommends your business by name when people ask it for advice, comparisons, or local recommendations. It works by combining traditional search fundamentals with newer signals that large language models rely on: citable content structure, schema markup, topical authority, crawler access, and brand mentions across the wider web.
That is the short answer. The rest of this guide is the full playbook, written for Australian businesses that want to be the name ChatGPT gives, not the name it skips.
TL;DR
- ChatGPT answers questions using two sources: what it learned in training, and live web retrieval when a question needs current information. You need to influence both.
- Live retrieval leans heavily on conventional search indexes, so your Bing and Google visibility still matters. Most competitors ignore Bing entirely, which is an opening.
- The core work: allow AI crawlers, add an llms.txt file, restructure key pages so the answer comes first, add schema, build topical depth, and earn brand mentions in the places ChatGPT learns from.
- Measure progress with citation share, not just rankings or traffic. Run the same panel of prompts every month and track how often you are named.
- Orkkid is Australia's AEO specialist agency. This is the same process we run for clients through our Answer Engine Optimization service.
How ChatGPT search actually works
ChatGPT does two things when someone asks it a question. It draws on what it learned during training, and it runs live web searches when the question needs current or local information.
The training data side is fixed at the point each model was built. Every model has a knowledge cutoff, and if your business was mentioned consistently in trustworthy places before that cutoff, ChatGPT may already know who you are. If your brand barely exists outside your own website, the model has little to draw on.
The live retrieval side is different. When someone asks something timely, like "who is a reliable plumber in Melbourne right now", ChatGPT Search queries the web in real time, pulls back a set of pages, summarises them, and lists its sources. This retrieval layer leans on conventional search indexes, with Bing playing a significant role.
That means two things matter for ChatGPT SEO. First, your brand needs to appear in the places that feed model training: news coverage, forums, directories, review platforms, and industry publications. Second, your website needs to perform in the indexes ChatGPT retrieves from, which includes Bing as well as Google.
Most Australian businesses have never once looked at their Bing presence. That neglect is precisely why ChatGPT SEO is winnable for businesses prepared to do the work.
If you want the wider context on how this fits alongside Perplexity, Gemini, and Google AI Overviews, our GEO SEO complete guide covers the whole landscape, and everything in our AEO category builds on the same foundations.
ChatGPT SEO vs traditional SEO at a glance
The disciplines overlap heavily, but the emphasis shifts. Here is the practical comparison.
| Factor | Traditional SEO | ChatGPT SEO |
|---|---|---|
| Primary goal | Rank in search results | Be cited or named in AI answers |
| Key surface | Google results pages | ChatGPT responses and sources |
| Content style | Keyword targeted pages | Direct answers, extractable passages |
| Authority signal | Backlinks | Brand mentions plus backlinks |
| Technical layer | Sitemaps, robots.txt, Core Web Vitals | All of that, plus AI crawler access and llms.txt |
| Measurement | Rankings, clicks, traffic | Citation share, mention accuracy, assisted enquiries |
| Competition today | Mature and crowded | Early and mostly uncontested |
Notice that nothing in the right column contradicts the left column. ChatGPT SEO is a superset of good SEO, not a replacement for it. If you want the deeper cost and return comparison, we wrote a full AEO vs SEO ROI breakdown.
What ChatGPT looks for in a source
ChatGPT does not cite random websites. Patterns show up consistently across the prompts we run for clients.
Authority on the topic. ChatGPT favours sites that cover a subject deeply. A site with twenty interlinked articles about plumbing looks more authoritative to a language model than a site with one page. Topical depth signals genuine expertise.
Clear, extractable writing. Citable content uses short paragraphs, lists, headings, and direct answers. ChatGPT lifts passages that already read like answers. If your key point is buried under three paragraphs of throat clearing, the model will find a competitor who got to the point.
Specific, concrete claims. Precise statements are easier to quote than vague ones. "We answer emergency calls within the hour across metropolitan Melbourne" is more citable than "we offer fast service". Specificity reads as confidence and expertise.
Brand recognition across the web. ChatGPT cross references what it finds. If your business appears in news articles, industry publications, Reddit threads, and review platforms, the model treats you as a real entity worth naming. A brand it has never seen outside your own domain is a brand it hesitates to recommend. Our guide to brand mentions as an AEO signal covers this in depth.
Structured data. Schema markup tells machines what your content is, who wrote it, and what your business does. Well structured pages are easier to interpret, which makes them easier to cite.
Freshness. ChatGPT tries to give current answers. Pages with recent updates, current dates, and up to date detail tend to be preferred over stale content on the same topic.
The 9 step ChatGPT SEO playbook
Here is the practical sequence. Run through it in order, because each step builds on the one before it.
Step 1: Audit your current ChatGPT visibility
Before you change anything, find out where you stand. Open ChatGPT and ask the questions your customers actually ask. Write down which businesses get named.
Run at least fifteen prompts across different intents. Mix branded queries, problem queries, and category queries. For an electrician in Brisbane, that panel might include "best electrician in Brisbane", "who do I call about a switchboard fault in Brisbane", "Brisbane electrician for EV charger installation", and "electrical safety inspection Brisbane".
Note every business ChatGPT names. If yours is missing, that is your baseline. If you are named, read what ChatGPT says about you carefully. Sometimes the bigger problem is not whether you are cited but what is being said, because outdated or wrong descriptions cost trust before a customer ever reaches you.
Our guide on how to track ChatGPT citations walks through building a repeatable prompt panel, and the AI citation tracking tools comparison covers software that automates it.
Step 2: Make sure ChatGPT can crawl your site
OpenAI operates more than one crawler. GPTBot gathers content for model training. ChatGPT-User fetches pages in real time when someone asks ChatGPT a question and it needs to read the web.
Both need to be allowed in your robots.txt. Plenty of sites block them by accident because a developer once applied a template that disallowed unfamiliar bots.
Check yours now at yoursite.com.au/robots.txt. Make sure there is no "Disallow: /" under "User-agent: GPTBot" or "User-agent: ChatGPT-User". If you want to be explicit, add:
User-agent: GPTBot
Allow: /
User-agent: ChatGPT-User
Allow: /
OpenAI maintains official documentation on its crawlers, including published IP ranges, and it changes over time, so bookmark it.
Step 3: Create an llms.txt file
llms.txt is a plain text file that tells AI systems what your site is about, structured for language models the way a sitemap is structured for search crawlers. The proposal lives at llmstxt.org, and our llms.txt beginner's guide walks through every step.
Place the file at the root of your domain. Include a short summary of your business, your services, your service area, and links to your most important pages.
A simple llms.txt for a plumbing business might look like this:
# Smith Plumbing
> Family owned plumbing business in Melbourne, Victoria. Residential and
> commercial work across the metropolitan area, with 24/7 emergency response.
## Services
- Emergency plumbing
- Hot water systems
- Drain cleaning
- Gas fitting
- Leak detection
## Service Area
Melbourne metropolitan area, including suburbs within 50 kilometres of the CBD.
Keep it simple and factual. The point is to let an AI system understand your business at a glance.
Step 4: Restructure your most important pages
Take your top ten pages by traffic or commercial importance and rewrite each one for citability.
The first paragraph should answer the main question of the page directly. No long introduction, no scene setting. A model scanning for an answer should find it in the opening lines, and so should a human.
Use short paragraphs of two or three sentences. Break content into scannable sections with descriptive headings. Add lists and tables wherever the content suits them, because structured content is far easier for a model to extract accurately.
Include genuine specifics wherever you can. Real service areas, real response times, real credentials, real processes. Vague marketing copy gives a model nothing to quote. Our guide on how to write content AI will cite goes deep on this style.
Step 5: Add proper schema markup
Schema is the vocabulary machines use to understand your pages. The important types for ChatGPT SEO are Organization, LocalBusiness, Service, FAQPage, and Article.
Implement Organization schema once, site wide, so every page declares who you are. Add LocalBusiness schema to your homepage and contact page with your name, address, phone, hours, and service area. Add Service schema to each service page, FAQPage schema wherever you have genuine question and answer content, and Article schema on blog posts.
Validate everything with Google's Rich Results Test before publishing, and use Schema.org as the reference vocabulary. Our AEO schema markup guide has copy ready examples for Australian service businesses, and the same structured data helps you appear in Google AI Overviews as well.
Step 6: Build topical depth around your services
ChatGPT is far more likely to cite a site that covers its subject thoroughly. One good page about plumbing is fine. Twenty interconnected pages covering different aspects of plumbing is a different league.
For each core service, plan a content cluster: the main service page plus ten to fifteen supporting articles that link back to it. A plumber's emergency plumbing cluster might cover burst pipe response, after hours call out expectations, common emergency scenarios, what to do before the plumber arrives, and how to choose an emergency plumber.
Each supporting article links to the main page and to two or three related articles in the cluster. The hub and spoke pattern compounds, and it is the fastest reliable route to topical authority in AI search.
Step 7: Get mentioned across the web
ChatGPT learns from Reddit, YouTube, Quora, news sites, podcasts, forums, and review platforms. The more credible places your brand appears, the more confident the model becomes about naming you.
Answer questions in subreddits relevant to your trade or industry, and be genuinely helpful rather than promotional. Pitch yourself to the small business and industry podcasts that take Australian guests, because a guest spot is a brand mention, a backlink, and a content asset in one. Encourage reviews on Google, ProductReview.com.au, and industry platforms like hipages or Oneflare. Contribute articles to the publications your industry actually reads.
None of this is glamorous, and all of it compounds. It is the single most defensible part of ChatGPT SEO because competitors cannot copy your reputation.
Step 8: Publish original first party content
Language models gravitate towards information that exists nowhere else. Surveys, case studies, original frameworks, and first party data all signal expertise generic content cannot fake.
Publish your own findings. Analyse quotes across your industry, survey your last fifty customers, document what you learned across a hundred jobs. Turn it into an article with specific, honest findings and a clear methodology.
Original data earns links from humans and citations from machines. A unique dataset or framework beats a rewritten version of what everyone else published.
Step 9: Track and iterate monthly
Run your prompt panel every month using the same fifteen prompts from step one, plus a few new ones reflecting seasonal demand.
Track citation share: the percentage of relevant prompts that name your business. It should trend upwards if the work is landing. Watch what ChatGPT says about you as closely as whether it mentions you, because inaccurate descriptions are a fixable content problem.
Refresh your top pages every quarter with new examples, updated details, and new sections. Fresh, maintained content consistently outperforms stale content in AI answers.
Common ChatGPT SEO mistakes
Publishing unedited AI generated content. Generic AI output adds nothing new to the corpus, and models have little reason to cite a rewording of what they already know. Use AI for research and structure, then add your own expertise, data, and voice.
Keyword stuffing. Language models read language properly. Write the way you would explain something to a customer across the counter, not the way people wrote for search engines in 2010.
Ignoring Bing. ChatGPT's live retrieval draws on Bing, yet almost nobody optimises for it. Submit your sitemap to Bing Webmaster Tools and check your performance there separately. It is low effort and most of your competitors will never bother.
Skipping the technical layer. Robots.txt, llms.txt, and schema take an afternoon. Businesses skip them because they feel boring, then wonder why the content work underperforms.
Not measuring. Without a monthly prompt panel you are guessing. Citation share is the metric that matters for ChatGPT SEO, and you should track it from day one.
How to measure ChatGPT SEO success
Standard analytics will not tell the whole story, because many citations never produce a click and ChatGPT does not always pass referrer information. Measure across five layers instead.
Citation frequency. How often does ChatGPT name your business across your target prompts? Same panel, every month, trending up.
Citation accuracy. When you are mentioned, is the information correct and current? Wrong details are a content fix waiting to happen.
Brand mention growth. Track mentions of your business across the web with Google Alerts or a monitoring tool. Mentions are the upstream input to citations.
Direct traffic movement. AI referrals often arrive looking like direct traffic. A rising direct traffic line that tracks with growing citation share is a meaningful signal.
Self reported attribution. Add "how did you hear about us" to your forms and phone scripts. Businesses doing this work well start hearing "ChatGPT" as an answer.
Frequently asked questions
How long does ChatGPT SEO take to work?
For sites with existing authority, first citations within a couple of months of consistent work is a reasonable expectation. Newer domains take longer because the model needs time and repeated evidence to learn your brand exists. The technical setup takes days; the content and brand mention work is ongoing.
Does ChatGPT have its own ranking algorithm?
Not in the traditional sense. ChatGPT combines model training data with live retrieval from web indexes, then decides what to say based on the quality and consistency of what it finds. The signals overlap heavily with traditional SEO, but topical depth, brand mentions, and extractable structure carry more weight relative to raw backlink counts.
Will ChatGPT SEO help my Google rankings too?
In most cases, yes. Schema, citability, topical depth, and brand mentions all support Google rankings as well as AI citations. The smart play is treating them as one program, which is exactly how answer engine optimisation is designed to work.
Is ChatGPT SEO different from Bing SEO?
There is heavy overlap because ChatGPT's live retrieval draws on Bing. But ChatGPT also answers from training data, which Bing does not control. Brand mentions across the wider web influence ChatGPT in ways that never touch a Bing ranking.
Can I do ChatGPT SEO without an agency?
Yes, particularly the technical layer. Anyone with basic web skills can fix robots.txt, publish an llms.txt file, and add schema. The harder parts are restructuring content at scale, building topical depth across dozens of articles, and earning brand mentions month after month. That is where most businesses bring in a specialist, and our 30 day AEO launch playbook is the DIY starting point either way.
What if ChatGPT cites my competitor instead of me?
Ask why. Run the prompt that returns your competitor and study what ChatGPT says about them, then compare their content depth, review presence, and brand footprint to yours. The gap is usually obvious: more articles on the topic, more reviews, more press, or better structured pages. Close the gap and their citation share becomes contestable.
Does the same approach work for other AI assistants?
Largely, yes. The fundamentals carry across Claude, Perplexity, and Gemini, with engine specific differences in retrieval sources. See our guides on optimising for Claude and Perplexity SEO for the specifics.
Orkkid is Australia's AEO specialist agency. We run this exact playbook for Australian service businesses: prompt panels, technical setup, content restructuring, and monthly citation tracking, all as one program. If you want to know where your business stands in ChatGPT today, start with our Answer Engine Optimization service.