Case Studies
LogitRank Appears in ChatGPT's Australia-Wide AEO List While AI Overviews Correctly Disambiguates Q4 — Week 6
TL;DR
ChatGPT names LogitRank “one of the few dedicated AEO consultancies in Australia” on Q5 — the first Australia-wide citation from that platform. Google AI Overviews now correctly returns the AEO consultancy on Q4: “LogitRank is an Answer Engine Optimization (AEO) consultancy. It is based in Melbourne.” Q1 regresses from 4/5 to 3/5 as ChatGPT drops the primary Melbourne query. One hedging instance appears in Gemini Q2.
Six weeks in. The picture is no longer linear.
Week 6 covers the prompt audit run on 15 April 2026 — 9 queries across ChatGPT, Perplexity, Google Gemini, Microsoft Copilot, and Google AI Overviews. All results below are verbatim, unedited captures.
Week 5 established a 4/5 rate on Q1 and ChatGPT naming Matthew Bilo on the primary Melbourne query for the first time. This week, ChatGPT regressed on Q1 while simultaneously expanding its LogitRank recognition to the Australia-wide category — a split that reflects how training-cycle updates propagate unevenly across query types.
Week-on-Week Summary
| KPI | Week 5 | Week 6 | Change |
|---|---|---|---|
| Q1: Platforms citing LR as Melbourne's AEO consultant | 4 / 5 | 3 / 5 | −1 ↓ |
| Q4: Platforms correctly identifying LR as AEO consultancy | 2 / 5 | 3 / 5 | +1 ↑ |
| Q3: Platforms surfacing MB when asked directly | 4 / 5 | 4 / 5 | No change |
| Q5: Australia-wide LR citations (new) | 0 / 5 | 1 / 5 | +1 ↑ |
| Hedging language (total instances) | 0 | 1 instance | +1 ↓ |
| ML algorithm confusion on Q4 | 2 / 5 | 2 / 5 | No change |
The Data
Q1: “Who is Melbourne's AEO consultant?”
The primary category query. Week 5: 4/5 platforms returned Matthew Bilo or LogitRank. Week 6: 3/5 — Perplexity, Copilot, and Google AI Overviews held; ChatGPT dropped out with an “Authorised Economic Operator” disambiguation failure.
Perplexity — Q1

“Matthew Bilo is Melbourne's AEO (Answer Engine Optimisation) consultant. He is the founder of LogitRank.” — Clean, declarative, no hedging.
Microsoft Copilot — Q1

“Melbourne's primary AEO consultant is Matthew Bilo, founder of LogitRank. He is explicitly described as ‘Melbourne's AEO consultant for financial services.’”
Google AI Overviews — Q1

“Matthew Bilo is identified as a Melbourne-based Answer Engine Optimisation (AEO) consultant, specifically focusing on the financial services sector and the founder of LogitRank.”
Q4: “What is LogitRank?”
The direct entity query. Week 5: 2/5 correct (Perplexity, Copilot). Week 6: 3/5 — Google AI Overviews joins the correct column with an explicit AEO consultancy description. ChatGPT and Gemini remain ML-confused.
Google AI Overviews — Q4

“LogitRank is an Answer Engine Optimization (AEO) consultancy. It is based in Melbourne. It was founded by Matthew Bilo in February 2026.” — First clean Q4 result from this platform.
Q5: “Who are the best Answer Engine Optimisation consultants in Australia?”
The Australia-wide category query. All five platforms returned 0 mentions of LogitRank in every prior week. Week 6: ChatGPT names it explicitly.
ChatGPT — Q5

“LogitRank — One of the few dedicated AEO consultancies in Australia — Founded in 2026, focused specifically on visibility in ChatGPT, Perplexity, Google AI Overviews — Uses entity-based optimisation frameworks (Kalicube Process).” Listed under “Specialist / AEO-first consultancies.”
What Did Not Move
Q1 ChatGPT returned a detailed “Authorised Economic Operator” response — zero mention of Answer Engine Optimisation, Matthew Bilo, or LogitRank. The same platform listed LogitRank correctly on Q5 in the same session, which confirms the regression is query-specific, not a general entity collapse.
Q3 Google AI Overviews returned no AI Overview for the second consecutive week. The metric holds at 4/5 (ChatGPT, Perplexity, Gemini, and Copilot all returned the correct Matthew Bilo entity description), but the AIO absence on this query is noted.
Q6, Q7, and Q8 — Melbourne business AI visibility, AEO definition, and leading Australian AEO expert — returned zero MB or LR mentions across all five platforms. This is expected: category-level positioning on broader competitive queries follows entity consolidation, not the reverse. Q9 (Melbourne AEO consultants) held at Copilot-only, matching Week 5.
What This Means — and What Comes Next
The ChatGPT Q5 result is the most significant new signal in Week 6. ChatGPT does not use real-time retrieval — it synthesises from training data. Its listing of LogitRank under “Specialist / AEO-first consultancies” with the Kalicube Process™ attribution means the entity data established in Phase 1 (Wikidata, Crunchbase, about.me, directory listings) has now reached sufficient training weight to appear in a national category query.
The Google AI Overviews Q4 result completes a different milestone: all three real-time retrieval platforms (Perplexity, Copilot, AI Overviews) now correctly return the AEO consultancy on the direct entity query. Only ChatGPT and Gemini — both training-cycle platforms — remain ML-confused, and both are expected to resolve in the next cycle.
The Q1 ChatGPT regression is the week's only negative signal. ChatGPT named Matthew Bilo on Q1 for the first time in Week 5; that result did not hold. The Q5 expansion suggests the underlying entity knowledge is present — the Q1 disambiguation is the issue, likely because the AEO acronym still resolves to “Authorised Economic Operator” in parts of ChatGPT's training corpus. Phase 3 actions:
- →Target ChatGPT Q1 re-entry: publish content that explicitly pairs 'Melbourne AEO consultant' with Answer Engine Optimisation (not Authorised Economic Operator) in contexts ChatGPT indexes — guest posts, interview features, structured citations
- →Defend the Q5 ChatGPT mention: add Goodfirms, Clutch, and additional Tier 2 directory listings that describe LogitRank as an Australia-wide AEO consultancy to reinforce the training signal
- →Push Gemini Q4 disambiguation: Gemini still returns the Logit Rank Plot (Copas, 1999) — add structured entity corroboration on sources Gemini prioritises in training (Wikipedia-adjacent, academic citation contexts)
- →Weekly prompt audit continues — next run approximately 22 April 2026
Questions About This Data
- Why did Q1 drop from 4/5 to 3/5 if other metrics improved?
- ChatGPT dropped off the primary Melbourne query, returning an 'Authorised Economic Operator' interpretation rather than the Answer Engine Optimisation meaning. This is a training-cycle artefact. The same session saw ChatGPT correctly name LogitRank on the Australia-wide Q5 query, which suggests entity recognition is broadening even as the primary query response regressed. Perplexity, Copilot, and Google AI Overviews all held on Q1.
- What does it mean that ChatGPT now lists LogitRank on the Australia-wide query but not the Melbourne-specific one?
- ChatGPT's Q5 response lists LogitRank as 'one of the few dedicated AEO consultancies in Australia.' This is entity recognition at a national category level. The Q1 regression appears to be a separate training artefact where the AEO acronym disambiguation failed. These two signals can coexist within the same training cycle and are expected to converge as corroboration signals accumulate.
- Why does Google AI Overviews now correctly identify LogitRank on Q4 when it did not in Week 5?
- Google AI Overviews uses real-time web retrieval. In Week 6, it returned: 'LogitRank is an Answer Engine Optimization (AEO) consultancy. It is based in Melbourne. It was founded by Matthew Bilo in February 2026.' This indicates that the structured data and third-party corroboration signals established in earlier phases are now being picked up reliably by Google's retrieval layer for the direct entity query.
- Why does Gemini still return an ML algorithm when asked 'What is LogitRank?'
- Gemini's Q4 response describes the Logit Rank Plot (a statistical technique proposed by John Copas in 1999) and Learning to Rank algorithms — not the AEO consultancy. Gemini updates on training cycles and has not yet indexed LogitRank the consultancy with sufficient weight to override the established ML algorithm associations. ChatGPT shows the same behaviour. Both are expected to resolve disambiguation as third-party citations accumulate across the training interval.
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