optislim.com.au & optislim.co.nz
AI-Powered Keyword Clustering
& Content Engine
Built a Python-based keyword clustering system for Optislim across Australia and New Zealand — combining Reddit and Quora intent mining, structured data implementation, and AI-assisted content production to drive organic visibility and AI rich result appearances.
A health brand struggling to surface in an intent-rich category.
Optislim operated in a highly competitive health and weight management category where search intent is nuanced, trust signals matter enormously, and AI search tools are increasingly the first touchpoint for product discovery.
Without a systematic approach to keyword clustering, content was being created in silos — targeting individual keywords rather than topical clusters, resulting in thin authority and missed long-tail opportunities.
Keyword tools alone weren't capturing how real users discussed weight management — the questions, concerns, and language patterns that appear in forums like Reddit and Quora but not in traditional keyword data.
The site had minimal structured data and no content formatted for AI search citations — missing entirely from the AI-generated health and wellness overviews that were capturing significant organic traffic.
AU and NZ markets had different search volumes, competitive landscapes, and user needs — but were being served identical content with no market-specific optimisation.
Python-powered SEO — clustering intent, automating content.
The approach combined data science and SEO strategy — using Python to process keyword data at scale and real-world intent signals to inform content that actually matched how users searched.
Built a custom Python script using NLP and semantic similarity to cluster thousands of keywords into topical groups — mapping each cluster to a content opportunity and assigning search volume, competition, and commercial intent scores.
Scraped and analysed health-related discussions on Reddit and Quora to extract real user language, questions, and concerns — feeding these signals into content briefs to ensure topical relevance and natural language alignment.
Used AI-assisted workflows to produce cluster-specific content — review schema-eligible product pages, informational blog posts, and FAQ content targeting question-based queries surfaced in the intent mining phase.
Deployed FAQ, Product, and Review schema across key pages — making content eligible for rich results and AI search citations in both the AU and NZ markets.
Created NZ-specific landing pages and content variants targeting the .co.nz domain — with localised keyword targeting and geotargeting signals to compete independently in the New Zealand market.
Stronger visibility across both markets.
The systematic clustering approach ensured every content investment targeted a defined topical gap — reducing waste and accelerating authority building.
Overall organic impressions and clicks grew 20% across both the AU and NZ domains as clustered content began establishing topical authority in key health categories.
FAQ and Product schema implementation resulted in AI rich result appearances for key health and weight management queries — capturing zero-click traffic from AI-generated overviews.
AU and NZ now operate as independent SEO ecosystems with market-specific content, targeting, and performance tracking — rather than a single generic strategy.
What this project taught me.
Keyword clustering is the most underused SEO technique. Most brands target individual keywords. Clustering reveals the topical architecture of an entire niche — and lets you build content that dominates categories, not just single queries.
Reddit and Quora are goldmines of real search intent. Keyword tools show search volume. Forums show how people actually think and talk about a topic. The gap between those two datasets is where the most valuable content opportunities hide.
Two markets need two strategies. AU and NZ may share a language but they have different search landscapes, different competitors, and different user needs. A single strategy serving both markets leaves significant organic potential uncaptured.
Want a data-driven content engine for your brand?
I build Python-powered SEO systems that cluster intent, automate content, and create compounding organic growth.