For Superannuation Funds
LogitRank helps Victorian superannuation fund trustees build machine-readable entity signals.
When members verify their fund's registration status, trustee identity, or investment mandate in ChatGPT or Perplexity, the response is generated from ASIC's register, APRA data, directory listings, and entity-structured web content. Stale or absent entity data produces hedged responses — and hedged responses create member uncertainty that is difficult to resolve without a phone call.
LogitRank structures the entity data AI platforms read about your fund — trustee identity, ASIC registration, investment mandate, and corroboration signals — so AI-generated descriptions are accurate, verifiable, and consistent across every platform.
The Member Trust Risk
Members and counterparties verify fund details in AI platforms before making contact. What they find matters.
Superannuation fund members use AI platforms to answer questions they'd previously ask a call centre: Is this fund registered? Who is the trustee? What does the fund invest in? These queries return AI-generated responses based on whatever entity data is available — and if that data is stale, inconsistent, or absent, the response reflects the gap.
For institutional counterparties — administrators, custodians, and co-investors — the stakes are higher. AI pre-screening of fund registration, AFSL authorisation, and trustee structure is increasingly part of the due diligence workflow before any engagement begins. Incorrect or absent entity data creates friction at that stage.
LogitRank fixes the underlying entity data. Every change is factual, drawn from ASIC's register and APRA's databases, and previewed before it goes live — no marketing claims, no promotional language, and no compliance risk in the process.
What's included
Week 1 — Baseline and entity audit
We run your agreed queries as the formal baseline and audit your fund's entity signals across all five platforms, mapping every gap between what AI platforms say about the fund and what ASIC and APRA records confirm.
Regulatory entity signals
AFSL number, ASIC register link, corporate trustee registration, investment mandate description, and SIS Act registration status — 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 queries agreed at onboarding, covering member-facing and counterparty-facing query patterns.
Weekly report, every Thursday
A one-page update showing what AI platforms said about the fund 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 a fund'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 the fund less accurately. Compliance-safe: every change is factual regulatory 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 superannuation funds?
- Answer Engine Optimisation (AEO) for superannuation funds is the practice of structuring a fund's entity data so that AI platforms — including ChatGPT, Perplexity, Gemini, Google AI Overviews, and Copilot — describe the fund's ASIC registration, trustee structure, and investment mandate accurately. LogitRank applies the Kalicube Process™ developed by Jason Barnard to build the entity signals AI platforms need to confidently cite a superannuation fund in response to member and counterparty queries. The results are tracked weekly and documented at logitrank.com/case-studies.
- Why does AI entity accuracy matter for superannuation fund trustees?
- Superannuation fund members and institutional counterparties increasingly use AI platforms to verify fund details, including ASIC registration, trustee structure, and investment mandate. When AI responses return stale or incomplete entity data, member confusion and institutional hesitation follow before any direct engagement begins. LogitRank structures the fund's entity data to ensure AI-generated descriptions are accurate, ASIC-verifiable, and consistently cited across all five platforms.
- What information do members look up about superannuation funds in AI platforms?
- Superannuation fund members use AI platforms to verify fund registration status, trustee identity, investment mandate, and asset allocation approach. These queries typically occur when members are considering consolidating accounts, comparing funds, or responding to communications from the fund. When AI platforms return hedged or inaccurate responses, members develop uncertainty about the fund's legitimacy — uncertainty that is difficult to resolve without direct contact.
- What entity signals does LogitRank build for superannuation fund trustees?
- LogitRank builds entity signals for superannuation fund trustees including AFSL number and ASIC register link, trustee identity and corporate trustee registration, investment mandate description and asset class scope, fund registration status under the Superannuation Industry (Supervision) Act, and corroboration signals across directory listings and regulatory databases. All changes use factual, ASIC-verified and APRA-verifiable data — no marketing claims are introduced at any stage.
Start with the free report.
We agree on three queries — the ones a member or institutional counterparty would run when verifying your fund — and test them across all five AI platforms. You receive verbatim results and a plain-English summary of every gap. No commitment.