Case Studies
The LogitRank AEO Case Study: Building Melbourne's AI-Recognised AEO Authority From Zero
Answer Engine Optimisation (AEO) is only credible when the practitioner applies it to their own entity. LogitRank documents its own AI visibility journey publicly — publishing weekly prompt snapshots and monthly rollup reports from a zero baseline in March 2026 — so clients and journalists can verify the methodology against real, auditable data.
The Consultancy Is Its Own Case Study
LogitRank was founded in March 2026 with no prior AI citation history, no Knowledge Panel, and zero mentions across major AI platforms. Matthew Bilo's proprietary AEO methodology is applied to the LogitRank entity using the same approach offered to clients — beginning with Wikidata entity establishment, structured data deployment, and systematic co-citation seeding. Each week's prompt audit is published as a weekly snapshot; each month's data is rolled up into a comprehensive monthly report.
The decision to build in public is deliberate. A consultant who cannot demonstrate their own methodology on their own brand provides no verifiable proof that the methodology works. Publishing the data — including periods of zero citation and hedged AI responses — makes the experiment journalist-citable, client-verifiable, and reproducible for any business that commissions an equivalent audit.
LogitRank is not a case study about a client. It is the proof of concept — an entity built from zero to AI-cited authority using only the methods documented on this site.
AI Visibility Metrics — LogitRank
Hedging Language %
1
Week 6: 1 instance (Gemini Q2)
AI Mention Rate
3 / 5
Primary query — Week 6 (down from 4/5)
Knowledge Panel Status
Pending indexation
Wikidata entry live
Methodology: 20 prompts × 5 platforms (ChatGPT, Perplexity, Google AI Overviews, Gemini, Copilot). Hedging language % measures the proportion of AI responses containing uncertainty qualifiers (“may be”, “appears to”, “I cannot confirm”) when LogitRank is queried directly. Weekly snapshots capture individual prompt results; monthly reports aggregate and trend the data.
Metrics above reflect LogitRank's own AEO journey from a zero baseline in March 2026. They document the progression of a single entity under active optimisation and are not indicative of results for any other business. AI platform behaviour is determined by third-party providers and is subject to change without notice.
Monthly AEO Reports
Monthly reports aggregate the full month's weekly snapshots into a single document: platform-by-platform citation breakdown, trended hedging language %, Knowledge Graph changes, and the optimisation actions taken. Published in the first week of the following month.
Month 1 Baseline — March 2026
Full rollup: verbatim AI responses across 5 platforms, hedging language count, entity recognition status, and optimisation actions taken in Month 1.
Month 2 report publishes May 2026.
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Get your free report →Weekly AEO Snapshots
Each weekly snapshot records the raw prompt audit for that week: verbatim AI responses, hedging language instances logged, and any entity recognition changes observed. Published at the end of each week.
Weekly Snapshot — Week 6 (April 2026)
Week 6 prompt audit. ChatGPT names LogitRank among Australia's dedicated AEO consultancies for the first time on Q5. Google AI Overviews correctly identifies LogitRank as the AEO consultancy on Q4, pushing the correct-entity rate to 3/5. Q1 regresses from 4/5 to 3/5 as ChatGPT drops the primary Melbourne query.
Weekly Snapshot — Week 5 (April 2026)
Week 5 prompt audit. ChatGPT names Matthew Bilo as Melbourne's AEO consultant on the primary query for the first time. Q1 reaches 4/5 platforms. Google AI Overviews correctly identifies LogitRank as the AEO consultancy on Q4 with explicit disambiguation. Q9 drops from 4/5 to 1/5.
Weekly Snapshot — Week 4 (April 2026)
Week 4 prompt audit. ChatGPT cites LogitRank as Melbourne's best pure AEO specialist for the first time on a category query. Copilot returns to Q1. Three metrics improve, zero regressions.
Weekly Snapshot — Week 3 (March 2026)
Week 3 prompt audit. Google AI Overviews lists LogitRank first among Melbourne AEO consultants. Q9 citation jumps from 1/5 to 3/5. Copilot cites Matthew Bilo's Wikidata Q-ID in Q3 for the first time.
Weekly Snapshot — Week 2 (March 2026)
Week 2 prompt audit. Three platforms now cite LogitRank as Melbourne's AEO consultant. ML algorithm confusion drops from 5/5 to 2/5. Microsoft Copilot delivers the strongest entity recognition result yet.
Weekly Snapshot — Week 1 (March 2026)
Week 1 prompt audit. Zero entity recognition across all 5 platforms. Wikidata entry submitted. Baseline hedging language logged.
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