For Investment Managers
LogitRank helps Melbourne investment managers control how AI describes their ASIC registration.
Before an institutional counterparty or sophisticated investor initiates contact with a fund manager, they run checks. Increasingly, those checks include AI platforms. When the response contains an inaccurate AUM estimate, an incorrectly scoped mandate, or a hedged ASIC registration status — the friction starts before the first call.
LogitRank structures the entity data AI platforms read about your firm: ASIC registration, AFSL authorisation scope, mandate description, and corroboration signals — so AI-generated descriptions of your firm are accurate, verifiable, and consistent across every platform.
The Institutional Risk
Due diligence now starts with AI. What platforms say about your firm shapes the conversation before it begins.
AI platforms synthesise fund manager information from ASIC's register, financial databases, directory listings, and entity-structured web content. The result is a description of your firm that a counterparty reads before deciding whether to engage. If that description is hedged, inaccurate, or absent, the counterparty's starting position is already compromised.
For investment managers, the errors that matter most are: AUM estimates drawn from stale or third-party sources, mandate scope described more broadly or narrowly than the AFSL authorisation permits, and responsible manager credentials not attributed to the correct entity. These aren't marketing errors — they're entity data errors that compound over time as AI platforms cache and recirculate them.
LogitRank fixes the underlying entity data. Every change is factual, ASIC-verified, and previewed before it goes live — there are no marketing claims, no promotional language, and no compliance risk introduced in the process.
What's included
Week 1 — Baseline and entity audit
We run your agreed queries as the formal baseline and audit your entity signals across all five platforms, mapping every gap between what AI platforms say about your firm and what your ASIC authorisation actually permits.
ASIC registration entity signals
AFSL number, ASIC register link, responsible manager credentials, authorisation scope, and mandate description — structured in schema markup and verified across the corroboration network AI platforms read.
5-platform weekly monitoring
ChatGPT, Perplexity, Gemini, Google AI Overviews, and Copilot — tested weekly against the same three professional and institutional queries agreed at onboarding.
Weekly report, every Thursday
A one-page update showing what AI platforms said about your firm this week versus last week, tracked against your agreed target queries.
Knowledge Graph enrichment
Wikidata verification, directory submissions, and entity corroboration signals — the network of sources AI platforms read to confirm your firm's entity before citing it.
Three-layer guarantee
90-day money-back if not appearing accurately in target queries. No-worse guarantee: billing pauses if any platform describes your firm less accurately. Compliance-safe: every change is factual entity data only.
$2,000/month. Cancel anytime.
Billed monthly. No setup fee. No minimum commitment. One hour of your time in month 1 — website access and AFSL scope confirmation. Nothing after that.
Common questions
- What is Answer Engine Optimisation (AEO) for investment managers?
- Answer Engine Optimisation (AEO) for investment managers is the practice of structuring a fund management firm's entity data so that AI platforms — including ChatGPT, Perplexity, Gemini, Google AI Overviews, and Copilot — describe the firm's ASIC registration, AUM, and mandate scope accurately. LogitRank applies the Kalicube Process™ developed by Jason Barnard to build the entity signals AI platforms need to confidently cite an investment management firm in response to institutional and professional queries. The results are tracked weekly and documented at logitrank.com/case-studies.
- Why does AI accuracy matter for investment managers and fund managers?
- Institutional counterparties and sophisticated investors increasingly use AI platforms to pre-screen fund managers before initiating contact. When ChatGPT or Perplexity describes an investment manager's AUM, mandate scope, or ASIC authorisation inaccurately, the error reaches a counterparty before any professional engagement begins. LogitRank ensures AI-generated descriptions of investment management firms are grounded in verifiable ASIC registration data, correctly scoped, and consistently cited across all five platforms.
- How do institutional investors use AI to screen fund managers?
- Institutional investors and sophisticated counterparties use AI platforms to verify fund manager credentials, AUM estimates, ASIC registration status, and investment mandate scope before initiating any engagement. Fund managers whose entity data is absent, inconsistent, or incorrectly scoped receive hedged or inaccurate AI-generated descriptions — creating friction before a single call has occurred. LogitRank structures entity data to eliminate that friction.
- What entity signals does LogitRank build for investment managers?
- LogitRank builds entity signals for investment management firms including AFSL number and ASIC register link, authorised representative and responsible manager credentials, investment mandate description and asset class scope, AUM range where publicly verifiable, and corroboration signals across directory listings and financial databases. All changes use factual, ASIC-verified data — no marketing claims are made at any stage.
Start with the free report.
We agree on three queries — the ones an institutional counterparty or sophisticated investor would run when screening your firm — and test them across all five AI platforms. You receive verbatim results and a plain-English summary of every gap. No commitment.