Positioning & digital marketing
Research, ICP and personas, category, messaging, technical SEO, AI-search visibility, content, social, paid media, lifecycle journeys, campaigns and conversion testing.
Digital marketing · AI · product
Build AI products. Create demand. Scale what works.
Scrapwhiz combines digital marketing with AI product strategy, product engineering, data systems and cloud delivery—so the experience and the route to market improve together.
Growth and product capability
From useful idea to working product and market demand.
Choose a focused workstream or connect strategy, engineering, data and marketing around one measurable result.
AI product strategy & MVP
Use-case selection, workflow mapping, value and risk assumptions, prototype, proof of concept, human oversight and an MVP plan tied to measurable adoption.
Agents, RAG & copilots
AI agents, retrieval-augmented generation, copilots and workflow automation with evaluation, access controls, traceability and dependable human hand-offs.
Product engineering
Web and mobile products, portals, APIs, integrations, UX and UI, secure development, QA, analytics, deployment and iterative release support.
Data platforms & analytics
Data modelling, ingestion, quality, governance, dashboards, product analytics and AI-ready foundations that teams can operate and trust.
Cloud, operations & economics
Cloud architecture, DevOps, observability, performance, reliability and cost controls that support product growth without hiding operational trade-offs.
AI product delivery
Move from demo to a product people can rely on.
AI work is treated as product engineering: the user, data, evaluation, safety and operating owner are designed together.
Frame
Choose the user decision, workflow and measurable outcome.
Prototype
Test the experience, data path, model fit and human oversight.
Engineer
Build evaluation, security, observability and recovery into delivery.
Launch & learn
Measure adoption, quality, cost and market response, then improve.
What good looks like
Work your team can continue after the engagement.
Clear ownershipDocumented systemsMeasurable evidencePractical adoption
Questions
What teams usually ask.
Clear answers before the work starts.
Can Scrapwhiz work with our existing agency or internal team?+
Yes. We can own a focused marketing, AI, product, data or engineering workstream, or connect several teams around one outcome.
What makes an AI product use case ready to build?+
A clear user decision or workflow, accessible data, measurable success criteria, appropriate human oversight and an operating owner. A prototype can test the uncertain parts before a larger build.
Can we engage Scrapwhiz for digital marketing only?+
Yes. Digital marketing remains a complete standalone service covering positioning, content, search, campaigns, lifecycle and conversion.
Do you support SEO and AI-search visibility?+
Yes. Work covers technical foundations, useful content, entity clarity, structured data and distribution. Rankings or recommendations cannot be guaranteed.
Ready to make the next move clear?