LogitRank

Research

LogitRank Research: AI Visibility Data for Australian Financial Services Firms

Active research programmes and monthly digests tracking how AI platforms represent AFSL-holding firms — citation rates, entity accuracy, hallucination frequency, and what the data means for financial planners, accountants, and mortgage brokers.

Research is conducted independently by LogitRank and is not peer-reviewed, not affiliated with any regulator, and not endorsed by ASIC or any industry body. Findings are published for informational purposes only.

Active Research Programmes

6,498 AFSL licensees · 4 AI platforms

Pending — May 2026

AFSL Hallucination Audit

Testing whether AI platforms produce hallucinated claims about Australian Financial Services Licence holders.

Checks ChatGPT, Perplexity, Gemini, Copilot, and Google AI Overviews for incorrect AFSL numbers, fabricated staff names, and inaccurate service descriptions across every registered AFSL licensee. Data collection in progress. Search your firm's name on the audit page.

View the Audit →

Research Digests

Monthly synthesis of industry studies filtered for applicability to Australian AFSL-holding firms — financial planners, accountants, mortgage brokers, and investment managers.

5 studies · AFSL firms · March 2026

Published

AI Visibility Research Digest: Australian Financial Services Firms — March 2026

Synthesis of five industry studies on AI citation behaviour for financial services content.

Covers finance-specific citation rules (shorter content, 10–19 headings, front-loaded claims), the 68% brand invisibility benchmark, LinkedIn Articles vs feed posts (5.8× citation difference), and person-entity recognition for AFSL principals. Filtered for applicability to financial planners, accountants, and mortgage brokers.

Read the Digest →

Apply this research to your own entity

The AEO methodology and entity-accuracy framework behind LogitRank's research programmes are the same tools applied in client work. The Free 5-Platform AI Presence Scan runs the same baseline queries used to score entities in LogitRank's entity-accuracy framework.