Client Zero · Living Case Study

AISearch Global: Client Zero — From 19 to 91, and What AI Still Doesn't Know

Before selling AEO to anyone, we had to prove it on ourselves. Client Zero is AISearch Global's own brand — tracked from day one, 20 May 2026, with every signal, every fix, and every score run exactly the way a paying client's audit runs.

By Viveka Mohan Das · Published 21 Jun 2026 · Next update ~21 Sep 2026

 Visibility Audit Dashboard

The numbers in this article come from the interactive AI Visibility Audit Dashboard — 10 audit instruments with drill-down panels for every score. Click any signal card to see the full data behind it.

Open the Visibility Audit Dashboard

Starting From Zero

AISearch Global launched on 20 May 2026. No content backlog. No prior schema. No entity history for AI engines to draw on. A clean baseline by design. If we can't move our own brand's AI visibility using the exact AEO Traction Stack we sell, we have no business selling it to anyone else — so we ran the audit on ourselves first.

Day one score: 19/100 on our own AEO Score Calculator. That's not a humble-brag number — it's a genuinely weak starting position, the same range most Australian SMB sites land in before any AEO work begins.

What We Actually Measure

The AEO Score Calculator checks 20 signals — 17 structural AEO signals plus 3 signals drawn from the Princeton GEO (Generative Engine Optimisation) research. In plain language, they group into the four layers of the AEO Traction Stack:

Entity Clarity

Can an AI engine state, without guessing, who you are, what you do, and where you operate? This is usually the single biggest gap on a new site and accounts for the largest share of early score movement.

Schema Markup

Structured data (JSON-LD) that lets AI systems extract facts directly — your services, your location, your credentials — instead of inferring them from page text.

Answer-Format Content

Content written the way AI engines lift answers: direct questions paired with direct answers, rather than long, undifferentiated prose.

Citation Consistency

Whether your business name, services, and location are described the same way everywhere AI engines can see them — your site, directories, social profiles. Inconsistency erodes trust signals even when each individual mention is accurate.

Layers one and two — entity clarity and schema — account for roughly 80% of the improvement most brands see. That's exactly where our own six weeks of work went first.

The Climb: 19 → 91

Structural AEO score

20 May 2026 → 21 Jun 2026

Launch (20 May) 19/100
21 Jun 2026 91/100

+72 points in six weeks, built on weekends and evenings around a full-time job. No agency team, no paid sprint. Here's exactly what that work looked like, including the things that went wrong:

None of these were dramatic. They're the ordinary friction of building a structured-data site — and exactly the category of fault an AI Visibility Audit catches before it quietly costs a client citations.

The Score That Didn't Move as Fast

A structural score of 91 tells us the page is machine-readable. It doesn't tell us what AI engines currently know. The second instrument in our methodology — the AI Brand Perception Audit — asks ChatGPT, Perplexity, and Gemini directly, rather than scoring what's on the page and assuming they've read it.

ChatGPT

36/100

Partial recognition

Perplexity

30/100

Limited recognition

Gemini

41/100

Partial recognition

A second, related score — GEO AEO Visibility, measuring whether AI engines anchor the brand as Australian and Sydney-based rather than generic — sits at 45/100 ("Emerging Local Authority"), with Local Intent Coverage (31/100) the weakest of its four sub-scores.

Why the gap is real, not a contradiction: 91/100 measures what we control directly — the page itself. 36/30/41 measures what AI models currently know, and those models don't re-crawl and re-learn the web in real time. There's a lag between a page becoming machine-readable and a model actually citing it, shaped by training cutoffs and how often each platform refreshes its citation sources. Fixing the page is necessary but not sufficient — closing that lag is ongoing work, not a one-off fix.

What AI Already Knows

We asked ChatGPT, Perplexity, and Gemini directly: who is AISearch Global, and what do they do? The answers are a useful diagnostic in their own right — not just three numbers.

Getting it right

All three platforms correctly identify AISearch Global as a Sydney-based AI visibility / AEO specialist — not a generalist marketing or SEO agency. Founder name, service category, and Australian location come through consistently wherever the brand is recognised at all.

Still missing

None of the three platforms can cite a specific case study, client result, or independent third-party mention yet. That's the honest shape of a brand-new entity: strong structural signals, no external citation history. Closing that gap is precisely what the Citation Consistency layer of the AEO Traction Stack is built for.

That's the practical meaning behind 36/30/41: the models know what we say about ourselves. They don't yet know what anyone else says about us. This article — and the dashboard behind it — is itself one of the first citable data points working to close that gap.

This Will Keep Changing

Every number on this page is a snapshot. AI platforms update how they crawl, weight, and cite sources on their own schedules — no public changelog, no warnings. A score can shift without the site changing at all. That's why we're running this audit on a fixed cadence, not publishing once and calling it done.

Audit & Update Timeline

20 May 2026
Baseline audit
Launch. AEO Score Calculator: 19/100. AI Brand Perception Audit: ChatGPT 36, Perplexity 30, Gemini 41.
21 Jun 2026
This article
Structural score reaches 91/100, published today as the baseline every future audit will be measured against.
~21 Sep 2026
3-month update
Re-audit and movement vs. baseline across ChatGPT, Perplexity, and Gemini — the next entry here.
~21 Dec 2026
6-month update
Second re-audit. A trend line across two checkpoints, not just a single one-off snapshot in isolation.
~21 Jun 2027
12-month update
One full year of tracked movement — the clearest proof point for sustained AEO work paying off.

Why This Matters for You

Most businesses have neither number. No structural AEO score because no one has run one, and no AI Brand Perception score because the questions have never been put directly to ChatGPT, Perplexity, or Gemini. That means they are making decisions about a gap they cannot see — assuming either that AI is already finding them, or that it is not something worth measuring yet.

The structural gap — the 19/100 range most unoptimised sites start at — is the faster fix. Six weeks of focused work moved ours 72 points. The perception gap is a different clock: AI models do not re-learn the web in real time, so even after a page is fully machine-readable, there is a lag before that model's answers reflect it. The earlier the structural work is done, the earlier that lag starts counting down. Waiting does not pause the gap — it extends it.

The businesses running both instruments in mid-2026 will have a six- to twelve-month head start on the ones who wait until AI search feels urgent. That is the window this article is written into — and it is still open.

Frequently asked questions

How do I know if AI systems are currently recommending my business?
The simplest way is to ask directly. Open ChatGPT, Perplexity, or Gemini and type queries your customers would ask — for example, "best AEO consultant in Sydney" or "who helps businesses get found by AI." If your business does not appear, you have a perception gap. The free AEO Score Calculator grades the structural signals that determine whether you appear. An AI Visibility Audit goes deeper, testing your actual citation rate across platforms — the same two-instrument method used in this case study.
What's the difference between the free AEO Score Calculator and the AI Visibility Audit?
The AEO Score Calculator is a structural assessment — it grades 20 signals on your page (schema, entity clarity, answer-format content, citation consistency) and returns a score out of 100. It tells you how machine-readable your site is. The AI Visibility Audit adds a second instrument: the AI Brand Perception Audit, which puts direct queries to ChatGPT, Perplexity, and Gemini to measure what each platform actually says about your brand right now. Client Zero ran both — 91/100 structural, 36/30/41 perception — and the gap between them is exactly what the audit is designed to surface.
How long does it take to see results from AEO?
Most businesses see meaningful structural improvement within 8–12 weeks when all four AEO Traction Stack layers are implemented. Entity clarity and schema markup take 1–4 weeks to fix. Answer-format content takes 3–6 weeks to produce. Citation consistency builds over 3–6 months and compounds over time. AI perception scores — what ChatGPT and Perplexity actually say about your brand — lag behind structural scores, because models refresh their knowledge on training cycles rather than in real time. That lag is normal. Starting the structural work earlier shortens it.
My AI visibility score is low — what should I do first?
The AEO Score Calculator shows your single highest-impact fix. For most low-scoring sites it is one of: missing or thin schema markup (add JSON-LD structured data), no FAQ content (add a FAQ section answering 5–10 customer questions), or inconsistent entity signals (check your business name and address match across Google Maps, Facebook, and directories). These three actions address the majority of low scores. AISearch Global's structural score started at 19/100 and reached 91 in six weeks by working through exactly this sequence. For a full prioritised action plan, the AI Visibility Audit delivers a 90-day roadmap.
How do I measure whether AEO is working?
The most direct measure is testing AI platforms manually: ask ChatGPT, Perplexity, Gemini, and Claude the questions your customers would ask, and note whether your business appears. Re-running the AEO Score Calculator every 90 days tracks structural score improvement over time. For deeper measurement, the AI Visibility Audit includes a baseline perception test — the same direct-query method that produced the 36/30/41 scores in this case study — which you can rerun after implementation to compare results across platforms.

Sources

See your own gap before you guess at it

Same two instruments, your numbers instead of ours.

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