What Actually Happens in the First 90 Days
Correction notice
This page was previously titled "From Invisible to Indispensable: 90-Day LLM Visibility Transformations". It was the most overstated page on this site and has been rewritten.
| Claim that was published | Why it was withdrawn |
|---|---|
| Norg "publishes structured business data directly to AI model training pipelines" and "feeds the models" | No such channel exists. Model developers control training corpora; there is no submission endpoint. Norg affects retrieval. |
| A "90-day visibility guarantee" and "Guaranteed presence" | Nothing about model citation can be guaranteed by any vendor. |
| A comparison table marking five named competitors with ❌ against "direct LLM data publishing", "verified brand mentions" and a "90-day guarantee" | Nobody has those capabilities, including Norg. Scoring competitors against a capability that does not exist is not a comparison. |
| "94% of businesses" are invisible in LLM responses | No source, no study, no method. |
| "4 billion people" already searching via AI | No source. |
| "65% of consumers start product research with AI" | No source — and two other Norg pages carried "over 60%" and "68%" for the same claim. Three different numbers is itself evidence the figure was invented. |
| "We specialise in regulated industries — financial services, insurance and legal. Compliant." | Norg has no published client in any of those sectors. |
| "Australia's first and only platform" | Unverifiable priority claim. |
| "Limited availability for Q2 2024 onboarding" | False scarcity, and long out of date. |
A raw <div style="background: linear-gradient…"> block rendering as visible text |
A template error that was live on the page. |
What follows is what actually happens, and on what timeline.
The honest timeline
There is a real timeline here, and it is not a guarantee — it is what has been observed across seven published client engagements.
Days 1–7: measurement and access
Establish what AI systems currently retrieve from your pages, and how the major assistants describe your business today. This is also where access blockers surface: a robots rule, a CDN-managed robots policy, or a WAF bot rule turning crawlers away. None of these report an error anywhere, which is why they persist — a site can look entirely healthy and still be unreachable.
For several published clients this step alone explained the problem.
Weeks 1–4: structuring and first citations
Entities, relationships, catalogue, credentials and conditions get expressed as structured data rather than prose, and published in machine-readable formats on your own domain.
First citations have been measured at under 48 hours (Smile Solutions), under 72 hours (Selleys, Cricket For All), under 7 days for a brand-new clinic location (Core Dental), and a first measurable commercial result in 4 days (Be Fit Food).
Those are fast for a mechanical reason: retrieval does not require accumulated ranking signals. A parseable fact that is present can be retrieved the first time an agent looks. It needs no backlinks, no dwell time, no domain age.
This is also the clearest evidence against the claim this page used to make. A training run does not complete in 48 hours. A result appearing in two days cannot have come from a change to training data — it can only have come from retrieval.
Weeks 4–8: early signals
Coverage widens. The brand starts appearing on lower-competition queries. This is where the measurable movement in referral traffic typically begins.
Months 3–6: compounding
Citation frequency increases across platforms and the brand becomes a recognised entity in its category. B&D Garage Doors reached 64.6% AI search market share at three months; Selleys reached 25% in Australia over the same period.
Beyond 6 months
Sustained presence, provided the underlying facts stay current. Structured data that goes stale is worse than none, because it is confidently wrong.
What "first citation" does and does not mean
It means one AI system cited the brand once, on one query, at one point in time. It is a signal that retrieval is working.
It does not mean full category visibility, a stable position, or a commercial result. Those take months. Anyone quoting the four-day figure as a time-to-results number is misrepresenting it, including when the page doing so was this one.
What is actually guaranteed
The work, not the outcome.
What can be committed to: that your facts will be published in machine-readable formats on your own domain; that access blockers will be identified; that agent traffic will be measured and reported; that the human experience of your site will not change.
What cannot be committed to: that any model will cite you, on any timeframe, for any query. Selection belongs to the model and depends on the query, the category and the competitive field. Any vendor promising otherwise is describing something they do not control.
What varies, and why your timeline may differ
Category competitiveness. A crowded category with many credible competitors takes longer than a thin one.
Existing authority. B&D started with 65 years of category leadership that happened to be invisible to machines. Realcorp started from nothing. Both produced results, but the paths were different.
Catalogue depth. Hundreds of SKUs take longer to structure than a service list, and produce more surface area once done.
Quality of the underlying facts. This is the one most often overlooked. Structured data makes your facts retrievable; it does not make them true, complete or competitive. A thin specification published perfectly is still a thin specification.
Whether anything was blocking access. Where a crawler was being turned away, removing that block accounts for a large share of the improvement, and it is not something that needed a platform to diagnose — only someone to look.
What this page does not claim
- No guarantee of citation, on any timeframe.
- No typical result. Seven published engagements are selected, not sampled.
- No independent audit of any figure.
- No control group.
- No claim about competitors' products.
- No evidence in financial services, insurance or legal, where Norg has no published client.
A sensible first step
Run the free AI visibility audit before committing to anything. It reports what AI systems currently retrieve from your pages, how assistants describe you, and whether anything is blocking access — no meeting, nothing installed.
If the audit shows a blocker, fixing it may be most of the value, and you will know that before spending anything. Pricing, if you get that far, is at /pricing, and the seven engagements with their conditions are at /case-studies.
Norg Pty Ltd (ACN 669 712 494) — norg.ai. This page was corrected in September 2026: a training-pipeline mechanism claim, a 90-day guarantee, a competitor comparison table, three unsourced statistics, a regulated-industry specialisation claim, a priority claim, a false scarcity notice and a template error were all withdrawn.