Our Products
The portfolio of products operated by Next Marketing Technology Ltd., what each one does, who it's for, and how we decide what to build next.
Next Marketing Technology Ltd. operates a portfolio of AI-native marketing products. Each one solves a specific, well-defined problem in modern marketing and AI infrastructure: research, web data access for AI agents, or data enrichment.
The portfolio today
WebSearchAPI.ai
websearchapi.ai: web search API for LLMs and AI agents. Built on Google Search, it returns clean, extracted, RAG-ready results instead of raw HTML. The thesis: AI models are only as good as the search results feeding them, and most teams are still wrestling with scraping and parsing instead of shipping.
markdown.new
markdown.new: converts any URL into clean Markdown for AI agents. Free, no signup, and up to 80% fewer tokens than raw HTML, through a three-tier fallback pipeline (content negotiation, Workers AI, headless browser rendering). It went viral on X within a day of shipping its Cloudflare-powered rewrite, with nearly a million views on the launch tweet alone.
Growthmarketing.ai
growthmarketing.ai: operator-led growth publication. Our founder's newsletter and content platform on growth marketing, AI-native playbooks, and case studies. It's how we share what we learn running our products and our partners' campaigns, and it's how a meaningful share of our ICP first encounters us.
enricher.io
enricher.io: data enrichment API for people, company, and technology data. The substrate layer for personalization. Used in outbound, ICP scoring, lead routing, and AI-driven workflows where the quality of the enriched record is the ceiling on the campaign's performance.
How we decide what to build
Every product we ship has to pass five tests:
- The founder or someone close to the product has lived the problem. No products built from spreadsheets and trend reports.
- An AI-native rebuild is materially better than retrofitting AI into an existing tool. If a $1B incumbent could add the feature in a sprint, it's not a product. It's a feature request.
- The category has a clear, large incumbent. We compete by being faster, sharper, and AI-native, not by inventing a market that doesn't exist yet.
- The product integrates cleanly with the rest of our stack. Customers using WebSearchAPI.ai or markdown.new should benefit from enricher.io, and vice versa.
- The team is excited to build it. This sounds soft. It isn't. Products that get shipped well are products the team cares about.
How we decide what not to build
We've turned down product ideas that hit four of the five tests above. The fifth always matters. A few categories we won't build into:
- Generic CRM. Already a saturated market and not where AI-native rebuilds yield the most value.
- Pure analytics dashboards. Reporting isn't where the value is. Execution is.
- Anything that requires a 50-person enterprise sales motion to sell. Our distribution model doesn't support it; we'd lose the principles in the process.
What's on the roadmap
Beyond the four products above, the company keeps developing future AI-native marketing strategies: applied research and operator-led playbooks that feed the next round of features and products.
We'll publish more about specific roadmap items in Growthmarketing.ai as they get closer to ship.
How the products fit together
The intended workflow:
Research (Growthmarketing.ai)
↓
Fetch & search the web (WebSearchAPI.ai, markdown.new)
↓
Enrich (enricher.io)
You can use any product on its own, and most customers start that way. The integration story compounds value when you use more than one.