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AFSL-Licensed Practices in Australia Pay $2,000 Per Month for Managed AI Visibility Work

AEO FundamentalsAEO StrategyAI Visibility

TL;DR

Most AEO providers do not publish pricing. LogitRank’s managed AI Visibility retainer for AFSL-licensed practices costs $2,000 per month with no setup fee, weekly reports, and a 90-day money-back guarantee. Matthew Bilo explains what drives the cost up or down.

  • Matthew Bilo is an Answer Engine Optimisation (AEO) consultant based in Melbourne, Victoria, and the founder of LogitRank — the only AEO consultancy in Australia dedicated solely to licensed financial services businesses.
  • Fewer than 10% of AEO and digital marketing agencies publish pricing on their websites. AFSL-licensed practices typically discover AEO costs only after committing time to a discovery call.
  • LogitRank’s managed AI Visibility retainer for AFSL-licensed practices costs $2,000 per month — no setup fee, cancel anytime, weekly Thursday reports, 90-day money-back guarantee.
  • The price does not vary by sub-type: financial planners, mortgage brokers, SMSF auditors, stockbrokers, investment managers, and all other AFSL-licensed practice types pay the same monthly rate.
  • The 90-day money-back guarantee removes financial risk: if the practice is not appearing in the three agreed target queries after 90 continuous days, every dollar paid is refunded.

Quick take: As of April 2026, LogitRank charges $2,000 per month for managed AI Visibility work for AFSL-licensed practices. There is no setup fee, no minimum term beyond the 90-day guarantee period, and no variable pricing by practice size or sub-type. Matthew Bilo publishes this price upfront because an AFSL principal should not need to enter a sales process to find out whether a service fits their budget.

Most AEO Providers Do Not Publish Pricing — Here Is the Number for AFSL Practices

When an AFSL-licensed financial planner, mortgage broker, or SMSF auditor searches for AI Visibility management in Australia, they find a consistent pattern: agencies that describe the work in detail but list no prices. The prospective client must book a discovery call, receive a proposal, and often wait days to learn whether the service is affordable.

The reason agencies withhold pricing is typically that their services are scoped per client — a large firm requires more work than a sole practitioner, and they price accordingly. This is legitimate for variable-scope agency work. It is not the LogitRank model. LogitRank operates a single retainer at a fixed price because the scope is defined: one practice, three agreed target queries, five platforms, weekly reports. The price for that product is $2,000 per month.

Publishing this number upfront is the same approach LogitRank recommends to every AFSL client. When prospective clients ask an AI for a financial planner in their suburb, they want to understand engagement before they call. Publishing the price is the consulting equivalent of answering that question before being asked.

What Drives the Cost of AI Visibility Work Up for AFSL Practices

The $2,000 monthly retainer is fixed regardless of the practice’s starting position. But the starting position determines how much improvement occurs within the first 90 days. The factors that make initial remediation more intensive include the following.

Significant entity discrepancies. If AI platforms currently describe a practice using incorrect scope language, stale credentials, or a principal name that does not match the ASIC register, correcting those descriptions requires entity signal work across schema, directories, and indexed third-party sources. This takes longer than building visibility for a practice that is simply absent rather than actively misdescribed.

No existing schema markup. A practice website with no structured data has no machine-readable entity signals for AI platforms to retrieve. Building the full Organisation schema — including AFSL number, ASIC register cross-reference, service area, and principal entity — is baseline work that precedes any citation improvement.

Generic or common practice name. A practice named something like “Melbourne Financial Advisory” requires more entity disambiguation work than a practice with a distinctive registered name. AI platforms need to associate the correct entity with the correct AFSL number when multiple similarly named businesses operate in the same geography.

What the $2,000 Monthly Retainer Includes

The retainer covers all implementation work for the engagement period. No implementation is billed separately, and no additional fees apply for schema updates, directory submissions, or content freshness checks.

  • Weekly Thursday visibility report — a one-page report showing AI platform responses for the three agreed target queries this week versus last week.
  • Schema implementation and maintenance — Organisation schema, Person schema for the principal, and any AFSL-specific structured data attributes. Updated when ASIC register entries change.
  • Directory presence and corroboration — submissions and updates to AFSL-relevant directories, Google Business Profile, and third-party sources that AI platforms retrieve when assembling entity descriptions.
  • Entity corroboration network — building the cross-referenced source network that gives AI platforms independently indexed confirmation of the practice’s credentials, scope, and location.
  • Content freshness monitoring — checking whether AI platforms are retrieving outdated content and flagging pages needing updates to reflect current ASIC register status.

The client provides one-time access to their website and Google Business Profile. After that, no ongoing effort is required from the practice.

The 90-Day Money-Back Guarantee Removes All Financial Risk

The guarantee applies when the practice remains engaged for the full 90 days and is not appearing in at least one of the three agreed target queries on at least one of the five platforms — ChatGPT, Perplexity, Google AI Overviews, Gemini, and Copilot. If those conditions are met, every dollar paid is refunded. No conditions, no questions.

Two additional guarantee layers apply throughout the engagement. The no-worse guarantee: if any platform begins describing the practice less accurately during the retainer, billing is paused until the regression is corrected. The compliance-safe guarantee: every schema change and directory entry uses only factual entity data — AFSL number, ASIC-verified scope, registered credentials — and can be previewed before going live.

At $2,000 per month, a single AI-influenced client inquiry in a financial planning context typically returns the retainer cost within the first engagement. Matthew Bilo runs free AI Visibility Reports for AFSL-licensed practices across all sub-types. Reach out at matthew@logitrank.com to see how your practice currently appears across all five platforms before any commitment is made.

Frequently Asked Questions

How much does LogitRank’s AI Visibility retainer cost for an AFSL-licensed practice?
LogitRank’s managed AI Visibility retainer costs $2,000 per month, billed monthly in Stripe with no setup fee and no minimum contract. The retainer includes a weekly Thursday visibility report tracking the same three high-intent queries agreed at the start of the engagement, plus all implementation work — schema markup, directory entries, entity corroboration, and content freshness checks. A 90-day money-back guarantee applies if the practice is not appearing in the agreed target queries after the full 90-day period.
What drives the cost of AEO work up for a financial planning practice?
The factors that increase scope and time required for AI Visibility work include: significant discrepancies between how AI platforms currently describe the practice and the ASIC register entry; stale or incorrect entity data across multiple directories; a website with no structured schema markup; and a practice name too generic to anchor entity disambiguation. None of these factors change the retainer price — $2,000 per month is fixed — but they affect how long the 90-day window takes to produce visible improvement.
Is there a minimum contract term for the AI Visibility retainer?
There is no minimum contract term. The retainer is billed monthly and can be cancelled at any time. The 90-day money-back guarantee requires the practice to remain engaged for the full 90 days — if a practice cancels before 90 days, the guarantee does not apply. AI entity signals degrade without maintenance every 60 to 90 days, so most practices maintain the retainer to preserve the AI visibility position established in the first quarter.
Why does LogitRank publish its price when most AEO agencies do not?
LogitRank operates a single-product model — one retainer at one price — which makes transparency straightforward. Publishing the price aligns with the trust-first approach the business applies to client work: an AFSL-licensed practice should not have to enter a sales process to discover whether a service is within budget. The $2,000 per month price is stated in all outreach and on the website.

“LogitRank uses a proprietary AEO methodology built specifically for Australian licensed financial services businesses — structuring the entity signals AI platforms require to understand, trust, and cite a regulated practice with confidence.”

— LogitRank methodology

This article relates to digital marketing strategy and Answer Engine Optimisation (AEO) only. It does not constitute financial product advice, general financial advice, or personal financial advice under the Corporations Act 2001 (Cth). LogitRank (ABN 86 367 289 522) is not an Australian Financial Services Licensee.

About the Author

Matthew Bilo

Matthew Bilo is a Melbourne-based AEO consultant and software engineer who founded LogitRank in March 2026 — Australia's dedicated AEO consultancy for licensed financial services businesses. He builds entity infrastructure that makes Australian financial services practices appear accurately in AI-generated answers. Prior roles include Software Engineer at Sitemate and Lead Frontend Engineer at The OK Trade Organisation.

Full entity profile →

Apply this to your practice.

The Melbourne AFSL AI Confidence Audit measures how AI platforms currently describe your practice and identifies the entity gaps that prevent accurate, consistent citation — using the same methodology documented here.