AI visibility for
Melbourne businesses

Why a good SEO position no longer means you are being recommended

Conventional search optimisation is aimed at a list. Ten blue links, a position on that list, and a click that follows from the position. Every part of that model assumes the person will see the list and choose from it.

AI-assisted search is aimed at an answer. The system retrieves what it can find about a subject, decides what it is confident enough to repeat, and writes a short response naming a handful of businesses. There is no list to be tenth on. You are either in the sentence or you are not mentioned — and being ranked well is a contributing signal, not a ticket.

That is why a Melbourne business can hold strong positions for its core terms and still be absent when someone asks an assistant the same question in plain language. The signals that decide whether a system is confident about you are different from the ones that decide where you sit on a page: whether your organisation resolves as a single, consistent entity; whether your claims are corroborated somewhere other than your own website; whether your pages can be fetched and parsed at all; and whether anything stale or contradictory about you is sitting where these systems read.

OG01 measures those signals directly. It does not have access to any model's internal ranking logic — nobody outside those companies does — so it measures what is observable from outside and reports it as evidence, not as a theory about how the model thinks.

Four intelligence areas, one Authority Rating

And what is deliberately not measured

OG01 does not measure the internal weighting an AI system applies, does not predict a specific answer, and does not report traffic, revenue or conversion. It also refuses to score what it could not read: if your site blocks automated access at the edge, the result is Not Rated rather than a low number invented from an absent reading. The supported off-site findings can still be shown. The explanation describes this scan; it does not establish whether other crawlers are blocked. The linked FAQ explains the next steps.

What this looks like across the city's sectors

From a score to work you can actually schedule

• Score. One URL, about ninety seconds, free. You get the Authority Rating and the highest-priority actions behind it.
• Findings. Every issue named and located, explained in terms of what it is costing rather than what it is called, and ordered by impact. The order is the plan.
• Remediation. Applied by us or specified for your team. Either way the specification is written to be executed rather than interpreted, so it can go straight to a developer or an agency.
• Rescore. The identical measurement, run again. Because the method has not changed between readings, the difference is attributable to the work.

Most Melbourne businesses start with the free score, and a good number stop there because it tells them enough. The Full Intelligence Report at $399 is the version with the evidence attached — all four areas opened, the competitor authority gap, the prompts, and the implementation detail per finding.

An Australian company, working with Melbourne remotely

OG01 is an Australian company based in Byron Bay, New South Wales. We do not have a Melbourne office, and we would rather say so than imply a shopfront on Collins Street that does not exist. The measurement is performed against your domain from outside, the findings arrive in your browser and by email, and remediation is coordinated remotely — which is how this work is done regardless of which city either party is in.

What being Australian does change is context. Pricing is shown in Australian dollars for customers in Australia, New Zealand and the Pacific territories we serve. Australian identifiers and business records are part of what a scoring reading looks at when it checks whether your organisation resolves cleanly. And we work in Australian business hours, which matters when a finding needs a conversation rather than a document.

Melbourne AI visibility questions