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.
Business owners ask assistants where to find an industrial unit, what a lease involves and who sells investment property. Landlords ask who to appoint. This work helps your agency be described correctly in those answers through clear guides, accurate listings and consistent details. We cannot guarantee a mention, and neither can anyone else.
For commercial agents who want assistants and search summaries to describe their asset classes, precincts and services correctly to tenants, landlords and investors.
Context from how your customers search, compare and book.
Tenants ask practical things: how to find office space for a small team, what a lease term means, how outgoings work, what fit-out contributions are. Investors ask about yield, vacancy and how a sale process runs. Landlords ask how to choose an agent and what leasing fees cover.
Assistants favour pages that answer such questions directly and state who wrote them. A guide to leasing industrial space in a precinct, written by an agent who works there, is easy to quote. A generic guide to commercial property has little advantage, and assistants have plenty of those.
Listings are evidence. A current, detailed listing with size, outgoings, parking, power, access and photos with clear descriptions tells assistants the property is real. Stale listings that stay online long after a lease is signed teach them to distrust you, so closed listings must be marked closed.
Your agency details must agree everywhere: name, address, phone, asset classes, precincts and agent names across your site, listing portals and directories. Mentions from industry bodies, trade press and local business groups add weight. Nobody controls the answers, and results vary by assistant and by day.
A clear, repeatable process built around how commercial real estate customers search and decide.
We put tenant, landlord and investor questions to the main assistants, such as how to find space for a distribution business or how to choose a leasing agent. We record whether your agency appears, how it is described and what it is compared with.
We compare agency details, agent names, asset classes and precincts across your site, listing portals and directories. Out-of-date bios, departed agents and old office addresses are corrected, and your team confirms the specialties you want repeated.
We write guides for industrial, retail and office space and for investment sales: how leases work, what outgoings are, how a sale process runs and what a landlord should expect from an agent. Each guide is reviewed by an agent, and any figures come from your own data.
Listings get full facts in plain text: size, power, access, parking, outgoings and availability. Structured labels tell machines what each property and agent is. Closed listings are marked closed, with a note pointing to similar space.
We look for honest sources that can cite you, such as trade press, industry bodies and local business groups. Each month we ask the assistants the same questions and report changes in a short note.
Make your business easier for AI search tools to understand and recommend
The mechanics behind AI Optimization for commercial real estate, explained plainly.
Size, power, loading, parking, outgoings and availability are written as plain text under clear labels, not locked in a brochure picture or file. Assistants and people can read the facts without opening anything else.
When a property is leased or sold, its page is updated to say so, with the date, rather than left to look available. Where useful, the page links to similar current space. This keeps the site trusted and avoids wrong answers.
Each major precinct and asset class gets a page with a short summary, the types of property and the kind of business that locates there. Facts and figures come from your agents, with dates and sources stated.
Commercial Real Estate 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.
Commercial queries are fewer than consumer ones, but each carries more value, so accuracy matters more than reach.
We run the first round of questions, save the answers and list errors, gaps and stale listings. Details that are wrong or conflicting are corrected first, because they are quick and they spread.
Asset class guides and cleaned listings go live, with structured data. We start building mentions and note small changes in how assistants describe the agency, alongside those that stay the same.
Guides, listings and mentions build up, and monthly tests show a trend. We keep listings current and report plainly where assistants still miss the agency or mix it up with another.
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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