Questions, answered plainly.

Digital Services does two things: product development and a white-label marketplace. Product development takes a client's idea from first sketch to a live, AI-native mobile or web product — design, engineering, app-store launch and growth. Bazarly White Label is a ready-built marketplace app that businesses license under their own brand. Both rest on four apps of its own, live on the App Store, Google Play and Huawei AppGallery since the company was founded in 2021.

In two places: inside the products, and in how they are built. Bazarly's AI photo-to-listing suggests a title, category and description from a seller's photos. Behind every product, the engineering process is AI-accelerated — AI coding and agent tools help draft, test and refactor, while engineers own architecture, review and release. The same team builds AI features for clients: LLM integrations, assistants, agents and automation.

Yes — Bazarly is available as a white-label marketplace. A licensee gets their own branded iOS, Android and Huawei apps, an admin and moderation panel, their own market and language configuration, and AI photo-to-listing, with Digital Services hosting and maintaining the platform. See how white-label Bazarly works.

Mobile apps and the web products around them. Our own catalogue covers a local marketplace (Bazarly), a grocery and budgeting app, a notes and task app, and a planning tool for founders — so consumer apps with accounts, sync, offline data and store distribution are the shape of work we know best. We also build web applications, APIs, marketing sites and AI features for client products.

Yes — that is the usual starting point. You do not need a spec, wireframes or a technical co-founder. You need to be able to describe the problem and who has it. The scoping stage exists to turn that into something buildable, and a good part of it is deciding what not to build first.

Apple App Store, Google Play and Huawei AppGallery. All four of our own apps are live on all three, which matters if your audience is in a market where Huawei devices are common and Google services are not.

Yes. Grocery List & Budget Planner ships in eight languages, Entrepreneurs Business Ideas in six, and Bazarly in six including Arabic, which means right-to-left layout as well as translation. Localisation is a design and engineering decision made early, not a translation pass bolted on at the end.

License when a proven model fits; build when your model is new. If you want a local buy-and-sell marketplace, licensing Bazarly skips design, engineering and most of the risk — the product is already live on three app stores. If your idea needs workflows, data or a business model nobody has built yet, custom product development is the right path. We do both, so we have no reason to push you either way.

It depends on scope, and anyone quoting a number before scoping is guessing. What we can say is what drives the number: how many user roles, whether it needs accounts and sync, whether it works offline, how many third-party integrations, and how many platforms and languages at launch. Scoping produces a range you can plan against.

Yes. Launch is the middle of the job, not the end. OS versions change, store policies change, and crashes appear on devices you never owned. Ongoing maintenance covers monitoring, fixes, store-policy compliance and version updates.

Use the contact form or email support@digitalservices.me. Tell us what you're trying to build and who it's for — a paragraph is plenty to start. For a marketplace, request a Bazarly demo.

AEO is the practice of structuring a page so an answer engine can lift a correct, attributable answer out of it. Where classic SEO competes for a ranked link, AEO competes to be the answer — in a Google AI overview, a featured snippet, or a voice assistant's reply. In practice that means asking the real question as a heading, answering it in the first sentence beneath, and backing it with structured data that confirms who is answering.

GEO is making a site legible and citable to large language models — ChatGPT, Claude, Perplexity, Gemini and the AI layers inside search. Models cite sources they can crawl, parse and corroborate, so GEO work is concrete: allow AI crawlers in robots.txt, publish facts as clean HTML rather than images or script-rendered text, use tables and definitions, keep entity information consistent everywhere, and state specifics rather than adjectives. A model cannot cite "industry-leading".

SEO earns a click; AEO earns a citation. They share foundations — crawlability, speed, clean HTML, structured data — but diverge in what they optimise. SEO tunes titles and links for a ranked results page. AEO shapes the content itself into extractable question-and-answer units, because the engine is assembling a reply rather than a list. A page can rank fourth and still be the sentence the AI overview quotes.

Yes — that is App Store Optimisation. Store search runs on its own ranking system: title, subtitle, keyword field, screenshots, ratings and install velocity. We treat web SEO and ASO as one funnel, because the landing page that ranks in Google is usually the same page that convinces someone to tap install.