Our Products

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, SEO and AI search visibility, measurement, or data enrichment.

The portfolio today

WebsearchAPI

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.

GEO.new

geo.new: free GEO audit for a single page. It reads one URL the way an AI search crawler reads it and prints what it found: 165 checks across six weighted categories (AI citability, content and E-E-A-T, technical SEO, schema markup, brand and entity, platform readiness), with the evidence attached to every row and the fixes ranked by measured severity and effort. No signup, no site-wide crawl, and the same audit runs from a terminal or a coding agent through the geo-new npm package and its MCP server. Unknown is never counted as a pass, and a score measures bounded evidence rather than a ranking or a guaranteed citation.

SEOmator

seomator.com: SEO and GEO platform for search engines and AI answers. Where GEO.new reads one page, SEOmator crawls up to 1,000 pages per site and turns what it finds into a prioritized issue list with fix instructions, so acting on it doesn't take deep SEO expertise. Around the audit sit 23 SEO tools (rank tracking on Google, Bing, and YouTube, keyword research, backlink monitoring) and Answer Engine Insights, which runs daily prompt checks against ChatGPT, Perplexity, and Google AI Overviews to see whether they mention a brand. Agencies export any audit as a white-label report or embed the audit widget on their own site to collect leads.

SEOmator first launched in 2014. Next Marketing Technology Ltd. acquired it in 2023 and operates it today.

TinyAnalytics

tinyanalytics.io: privacy-friendly web and product analytics. One script under 6.5 KB covers traffic, product behavior, funnels, retention, revenue, experiments, and uptime, with no analytics cookies, no raw IP storage, and no cross-site profile. It also reports AI referrals and crawler activity, which is the measurement gap most stacks still carry now that generative engines sit at the top of the funnel.

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:

1. The founder or someone close to the product has lived the problem. No products built from spreadsheets and trend reports.
2. 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.
3. 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.
4. The product integrates cleanly with the rest of our stack. Customers using WebsearchAPI or markdown.new should benefit from enricher.io and TinyAnalytics, and vice versa.
5. 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.
• Surveillance-grade tracking. We won't build cross-site profiles or identity graphs and sell them back as "insight." TinyAnalytics measures without analytics cookies or raw IP storage on purpose, and that constraint isn't up for negotiation as it grows.
• 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 seven 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:

Diagnose (GEO.new)
   ↓
Research (Growthmarketing.ai)
   ↓
Fetch & search the web (WebsearchAPI, markdown.new)
   ↓
Enrich (enricher.io)
   ↓
Optimize & track (SEOmator)
   ↓
Measure (TinyAnalytics)

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.