AI Search Visibility Agency — Gold Coast & Australia-Wide
Your customers are asking it who to use. Right now it is answering with somebody's name. Make sure it's yours.
ChatGPT SEO is the work of making a business likely to be named when someone asks ChatGPT for a recommendation. Because ChatGPT searches the live web before answering most commercial and local questions, it means making your site retrievable, your answers quotable, your business details consistent everywhere, and your reputation verifiable through independent sources.
ChatGPT is the assistant most of your customers already have open. When it answers a "who should I use" question it names two or three businesses — no page two, no scrolling, no chance to be discovered further down. You are either in the answer or you are not in the conversation.
Verified crawler access for GPTBot and OAI-SearchBot, a consistent entity record, answer-first content ChatGPT can quote, and the independent corroboration it checks before recommending anyone — then monthly prompt testing to prove it worked.
Each row is a decision point where businesses get filtered out. Most fail at the first two without ever knowing.
| Check | Why you get skipped | What fixes it |
|---|---|---|
| Can it fetch you? | GPTBot blocked in robots.txt, or the server rate-limits it | Explicit allow rules, and a server that answers crawlers with a 200 |
| Does it know what you are? | No schema, vague copy, category unclear | Service and LocalBusiness schema; plain statements of what you do |
| Do your details agree? | Address or phone differs between your site, Google and directories | One reconciled NAP everywhere, matching your Google profile exactly |
| Can it quote you? | The answer is buried four paragraphs into a page | Self-contained 40–70 word answers directly under each heading |
| Does anyone else vouch? | No reviews, no directory presence, no third-party mentions | Review programme, core citations, earned press |
| Are you specific enough? | Generalist positioning loses to a named specialist | Clear service and geography focus the model can match to the question |
Confirm GPTBot and OAI-SearchBot can actually reach your pages — not just that robots.txt says they may.
A fixed set of buying-intent prompts run and recorded, so you see exactly who ChatGPT names today.
One consistent record of name, address, phone and services everywhere ChatGPT might check.
Every key page restructured so the answer sits at the top, quotable in one lift.
Structured data stating your category, service area and offering in machine-readable terms.
A systematic programme to build the review signals models weigh when recommending.
Directory and industry listings that independently corroborate your existence and competence.
The same prompts re-run each month, with movement tracked against competitors.
Verify ChatGPT can fetch your site at all — the most common silent blocker.
Run the prompt set, capture transcripts, note who gets named instead of you.
Reconcile your entity record and restructure content into quotable answers.
Build reviews and citations so the claims hold up when checked.
Repeat monthly, report movement, double down on what shifted.
We do not guess at what ChatGPT thinks of you. We ask it — with a fixed prompt set, repeated monthly, recorded and compared against your competitors. You see the actual answers, including the ones that name someone else.
Headquartered on the Gold Coast, with a Brisbane location and clients in every capital city.
Driven by how many prompts and competitors are tracked, the number of locations covered, and the scale of the content and citation work required.
How ChatGPT decides which businesses to recommend, and our free prompt pack for testing yourself.
ChatGPT SEO is the work of making a business likely to be named when someone asks ChatGPT for a recommendation. Because ChatGPT now searches the live web before answering most local and commercial questions, it means making your site retrievable, your answers quotable, your business details consistent, and your reputation verifiable through independent sources.
For commercial and local questions ChatGPT typically runs a web search, reads several sources, and synthesises an answer naming a small number of businesses. It favours pages that answer the question directly, businesses whose details agree across the sites it checks, and providers with visible reviews and third-party mentions. Contradictory or thin information usually results in being skipped.
Not for the organic recommendations discussed here. There is no advertising placement that inserts a business into a standard ChatGPT recommendation. Visibility is earned through retrievability, clarity and corroboration — which is why the work resembles SEO more than it resembles paid media.
Yes, and it is a common accidental own-goal. If GPTBot or OAI-SearchBot is disallowed in robots.txt, or your host rate-limits them, your content cannot be retrieved and you will not be cited. Check both the robots directives and the actual server response — permission granted in a file means nothing if the server returns an error.
Ask it the questions your customers would ask — "who are the best [service] in [suburb]", "is [your business] any good", "compare [you] and [competitor]" — and record the answers. Responses vary between sessions, so test a fixed prompt set repeatedly rather than drawing conclusions from a single reply.
Usually because your details disagree somewhere on the web. A different address on an old directory, an outdated phone number, or a service list that varies between your site and your Google profile all create ambiguity, and the model resolves it by guessing. Reconciling those records is the fastest fix for inaccurate descriptions.
The foundations are shared, but the weighting differs. Gemini leans on Google’s index and conventional ranking strength; Perplexity is recency-driven and always cites; ChatGPT blends live retrieval with training data. We optimise the common foundations once, then test and tune each platform separately.
Where ChatGPT is retrieving live results, structural and entity improvements can show within weeks. Where an answer leans on training data, change is much slower and outside anyone’s direct control. Most measurable movement in our experience comes from fixing retrieval access and entity consistency first.
