Martin
Founder, strategy and audits
Writes every audit and takes every first call. On your account from day one, running growth for SMEs since 2010.
Drivers ask assistants where to park near a venue, whether a garage fits a tall SUV, or which lot is cheapest for the evening. Wrong answers send them to the wrong entrance or the wrong rate. We make the facts about your parking clear and consistent, though no one controls what an assistant says.
For parking operators who want assistants and AI search summaries to give accurate rates, hours, clearances and entrance directions for each lot.
Context from how your customers search, compare and book.
The questions are specific. Where can I park near the arena after six? Does this garage allow overnight stays? What is the height limit? Is there electric vehicle charging? Which entrance do I use on a match day? Assistants favour sources that answer these precisely, with facts they can quote.
Parking facts change often. Rates differ by event, hours change on holidays, entrances move during roadworks and spaces close for maintenance. If a stale page or old listing says otherwise, an assistant may repeat it for months. Keeping each lot's facts current and consistent is the core of the work.
Aggregator and map sites also shape answers. Assistants draw on them and on your own pages. When facts clash between sources, the machine picks one and may pick wrong. We compare what each source says about your lots, correct what you control and report the mismatches you do not.
Nobody can promise to be named. Assistants vary and change their sources. What we can do is give them complete, current and consistent facts on pages built for quoting, support those facts with reviews that mention safety, lighting and ease of entry, and check regularly what assistants actually say.
A clear, repeatable process built around how parking customers search and decide.
We ask assistants what drivers ask: where to park near your venues, overnight stays, height limits, charging, accessible spaces and event day directions. We record which lots are named, what rates and hours are quoted and what is wrong.
Every lot gets a plain page with address, entrance directions, hours, published rates, payment methods, clearances, accessible and charging spaces, and safety features. A short section covers event days. Rates appear only if you choose to publish them.
We compare your lots across your map profile, marketplace listings and directories and correct what we can. Holiday hours and closures are updated everywhere together. Where an outside source is wrong and not ours to edit, we send a correction request.
We guide review requests that invite drivers to mention safety, lighting, ease of finding the entrance and attendants. We look for honest mentions from venues, hospitals, employers and business groups that your lots already serve.
Structured data describes each lot, its hours and its facilities to machines. Each month we repeat the test questions, note which answers changed, and fix pages that are still misread. We report both improvements and setbacks, so you can judge whether the work is paying off.
Make your business easier for AI search tools to understand and recommend in Australia
The mechanics behind AI Optimisation for parking, explained plainly.
Structured data names each lot as a parking facility, with address, opening hours, entrances and features such as charging. Each lot has its own page and markup, so a venue lot is not confused with the office garage two streets away.
Rates and hours are held in one place and published to each page and listing from it. When a holiday schedule or an event rate changes, one update reaches all places. Pages show the date they were last checked.
Closures, one-way systems and walking routes are written as short, plain steps with a simple map. This helps drivers and assistants alike, and it cuts the calls your attendants take from lost visitors on busy nights.
Parking AI search setup starts at $500 USD one-time. Repeat checks of what AI tools say about you are scoped separately.
What's included
We ask the main AI tools the questions your customers ask, and note what they say about you and your rivals.
Service, area, hours and credential facts stated plainly on your pages and listings, with the labels machines read.
A short list of gaps found, with the fixes made or handed to your team.
Repeat checks every month or quarter are scoped separately. No one controls AI answers, so results vary. Talk to us for a fit.
Parking facts shift often and assistants update unevenly, so we aim for accurate, current pages and honest measurement.
We run the baseline questions for each lot, audit listings and pages, and list errors in rates, hours and directions. You get a short priority list of fixes, ordered by how many drivers each error could mislead.
Lot pages, event pages and markup go live, and listings are aligned across maps and apps. Review requests begin. Some assistants update soon, while others lag by weeks.
We track whether answers about your lots become accurate and how often you are named. Results vary and can reverse. We promise no mention, and we keep facts current as events and rates change.
Our team
Martin writes every audit and takes the first call. The same team stays on the account. 160+ businesses since 2010.
Founder, strategy and audits
Writes every audit and takes every first call. On your account from day one, running growth for SMEs since 2010.
Social and app development
Shapes social strategy and builds practical app experiences that turn attention into action.
SEO
Owns technical, local and content SEO so the right buyers find you when demand is highest.
Paid media
Plans and manages paid search and social campaigns around qualified leads.
Analytics
Connects tracking, attribution and reporting so decisions are based on revenue-quality data.
Design
Creates clear brand and conversion-focused design across landing pages, campaigns and product experiences.
Certified and experienced
Verified platform knowledge, 25+ years of hands-on experience, and an operating track record since 2010.
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