Andrey MikidenkoAndrey Mikidenko

Andrey Mikidenko is the founder of MarsOne.ai, an AI platform that builds a digital twin of a small or mid-sized business. Before AI, he built and ran physical operations in Russia: waste sorting, black soldier fly bioconversion and recycling. He now lives and works in California.

He builds MarsOne.ai full time. The platform turns a business's data into a live model, runs what-if simulations on it, and shows how AI models see the business. The entry point is a free 90-second audit.

He worked hands-on in the circular economy in Russia: sorting waste, converting organic waste with black soldier fly larvae, and running recycling operations. That meant equipment, logistics, people, suppliers and buyers, and every cost visible on the floor.

Running physical operations showed him how many decisions get made on gut feeling because the numbers arrive too late or not at all. MarsOne.ai is the tool he wanted then: a live picture of the business and a clear list of what to fix first.

Building production before building sales channels is a trap. Demand comes first. That is why MarsOne.ai starts with a free audit that shows owners something useful before asking them to commit to anything.

In California, USA.

Owners, founders and operators of small and mid-sized businesses, including teams that grow by acquiring other companies and need to see all their businesses in one picture.

As a solo founder working with AI-assisted engineering: LLM pipelines, data collection pipelines and a modern database stack. One person with the right tools can now ship what used to take a team, and MarsOne.ai helps business owners do the same.

The name comes from a long-term belief that people need better infrastructure for life, from the materials economy to how decisions get made. MarsOne.ai is the part of that vision that helps businesses work today.

On X: @AMikidenko (x.com/AMikidenko). For a first look at your own business, run the free audit at marsone.ai.

MarsOne.ai is an AI platform for small and mid-sized businesses. It builds a digital twin of the business from internal and external data, runs what-if simulations, and makes the business readable to AI models. AI agents then handle routine work that the twin shows is costing money.

Owners and operators of small and mid-sized businesses who want to see where profit is lost, decide on numbers instead of feeling, and get their business ready for a world where customers ask AI for recommendations.

Yes. MarsOne.ai offers a free audit that takes about 90 seconds. You enter your website domain and get results right away.

It shows how AI models see your website and which errors get in the way, plus a broad picture of the business across expenses, customer acquisition and customer retention. It ends with specific recommendations on what to fix first.

Only your business website domain. No integrations, files or passwords are needed for the first scan.

Not to start the scan. Registration comes after the audit, if you want to save the results and go deeper into the platform.

You can register, connect more data and build the full digital twin. From there you can run what-if scenarios and switch on AI agents for routine tasks.

The audit is free. Plan pricing is shown inside the platform after registration.

A dashboard shows numbers and leaves the thinking to you. MarsOne.ai explains where money is lost, simulates what happens if you change something, and recommends what to do next.

A consultant gives you a snapshot that ages the day it is delivered. A digital twin keeps updating from your data, so the picture stays current and you can test new questions at any time.

No one can honestly promise that. MarsOne.ai makes your business visible and understandable to AI models and fixes what blocks them. Whether an assistant recommends you also depends on your offer, reputation and competition.

Every figure is labeled as verified, estimated or inferred, so you always know what is a fact from your data and what is a model's best guess.

A live model of your business built from real data: sales, costs, customers, marketing and your public presence. It mirrors how the business works today and updates as the data changes.

From engineering and manufacturing, where virtual copies of machines and systems are used to test changes safely before touching the real thing. The same idea now applies to a whole business.

Internal data such as sales, expenses, CRM and marketing results, and external data such as your website, online reviews, market and competitors. The more you connect, the sharper the twin.

A spreadsheet is built by hand once and goes stale. A twin pulls data automatically, connects the parts of the business to each other, and can run thousands of scenarios instead of one.

A test run on the twin instead of on the real business. You change one thing, such as price, ad budget or headcount, and see the likely effect on revenue, margin and cash, including a range of possible outcomes.

For example: what happens to margin if we raise prices 5 percent, which marketing channel to cut first, how many customers we lose if response time doubles, or what cash looks like in six months at the current pace.

As accurate as the data behind it. That is why MarsOne.ai labels every number as verified, estimated or inferred, and shows ranges instead of false precision.

A first picture from public data appears in about 90 seconds through the free audit. The full twin grows as you connect internal data.

No. Large companies built twins with big teams and budgets. AI now makes the same approach affordable for a business with five or fifty employees.

No. It takes over reporting, monitoring and routine analysis so your people spend time on customers, sales and decisions.

Data you connect is used to build and update your digital twin. See the privacy policy on marsone.ai for how it is stored and protected.

Because competitors who use AI answer leads faster, spend marketing money more precisely and run with fewer manual hours. And customers increasingly ask AI assistants which business to choose.

Usually in four places: responding to new leads quickly, replacing manual reporting, finding marketing spend that brings no customers, and reminding the team about follow-ups and repeat sales.

Software that does a task end to end on its own: watches for a trigger, makes a decision within rules you set, and takes an action, such as drafting a proposal or flagging a customer who stopped buying.

A chatbot answers when asked. An agent acts on its own when something happens, and works across your tools, not just inside a chat window.

It replaces tasks, not whole roles. The usual result is that the same team handles more customers and spends less time on reports and copy-paste work.

Ad campaigns that bring no customers, software subscriptions nobody uses, slow replies to new leads, customers who quietly stop buying, and purchasing done in a rush at bad prices.

Start with one measurable problem, such as lead response time or wasted ad spend. Measure the baseline, add one tool, and compare after a month. A free audit is a zero-cost first step.

Buying tools before knowing the problem, automating a broken process, trusting numbers nobody checked, and expecting results without measuring where you started.

Making decisions on current numbers instead of habit. McKinsey Global Institute research from 2016 found data-driven organizations were 23 times more likely to acquire customers, 6 times more likely to retain them and 19 times more likely to be profitable.

No. Start with what you have. A good system tells you which numbers are solid and which are estimates, and shows what data would improve the picture.

Write down the numbers before you start: response time, cost per customer, repeat purchase rate, hours spent on reports. Compare them after 30 and 90 days.

It depends on the tool. Check who can access the data, whether it is encrypted, whether it is used to train outside models, and whether you can delete it.

A business whose website, data and public facts are clear enough for AI models to read, understand and trust. It is the next step after being findable in search.

More people ask ChatGPT, Claude, Perplexity and Google's AI answers what to buy and whom to hire. If those systems cannot read your business clearly, you are absent from the answer.

They work from what they can read and cross-check: your website content, structured data, consistent facts across sources, reviews and mentions elsewhere. Claims they cannot verify carry little weight.

Code on your website that states facts in a machine-readable form: who you are, what you sell, prices, location, FAQs. It helps search engines and AI systems understand the page without guessing.

A proposed plain-text file at the root of a website that summarizes the site for AI models. It is not an official standard and not every AI system reads it, but it is a cheap way to state your key facts clearly.

Big claims with no proof, missing prices or contact details, facts that differ between your site and other sources, and no outside mentions or reviews.

Content that only loads through JavaScript, no structured data, crawlers blocked in robots.txt, vague copy that never says what you do and for whom, and pages that contradict each other.

No. Anyone who guarantees it is overselling. What can be done is removing what blocks AI from understanding you and making your strongest facts easy to verify.

Run the free 90-second audit at marsone.ai. It shows how AI models read your site and which errors get in the way.

State plainly what you do, for whom and where. Add structured data with your real facts. Make sure your name, contacts and offer match everywhere they appear online.