Numbers from
real work.

A HealthTech SaaS platform was stuck at 63 organic clicks per month despite having a technically solid product. Their content was focused on features, not intent. AI engines had no idea they existed. Paid search was the only acquisition channel with consistent results.

Entity-first content architecture: rewriting existing pages to answer the exact questions health tech buyers type into Google and ChatGPT. FAQPage schema on all key landing pages. Entity markup connecting the brand to health tech concepts in AI engine knowledge graphs. robots.txt fixed to allow all AI bot access.

A US health tech company had strong organic rankings but was entirely absent from AI engine responses for their core buyer queries. With AI search adoption accelerating in healthcare research, being invisible in ChatGPT and Perplexity was becoming a real competitive threat.

Full AEO implementation alongside existing SEO: FAQPage schema across all key pages, entity schema linking the brand to health tech concepts, answer-first content rewrites for the 15 highest-traffic pages, and an AI citation monitoring setup to track appearances in real time.

A B2B services company was generating 15 organic leads per month despite significant ad spend. Their content covered a wide range of topics superficially, which meant they had topical authority on nothing. Organic was treated as a nice-to-have, not a primary channel.

Topical authority strategy: consolidating content around three core service pillars, publishing depth-first content clusters, internal linking architecture to concentrate authority, and aggressive on-page optimization. The goal was to become the definitive source in the category, not a generalist covering everything lightly.

A US logistics tech SaaS was generating 1,019 organic visitors per month with 20 organic leads. Their competitors dominated the high-intent keyword surface. The brand had strong product differentiation but no organic presence to match it. Paid acquisition was effective but expensive at their volume targets.

Full-stack SEO and AEO build over 7 months: keyword cluster architecture across 6 product use cases, 80+ pieces of depth-first content, entity schema mapping the brand to logistics tech concepts, and answer-first restructure of all landing pages. AI citation tracking from month 2 onward to identify queries producing impressions without clicks.

An Australian SaaS platform was generating 240 organic clicks per month with minimal AI search presence. The site had strong UX but no semantic layer: no entity schema, no answer-first content, and robots.txt blocking AI bots by default. The opportunity was significant: the category had low competition in AI engine responses.

AEO-first with SEO layered in: full entity schema build, answer-first content restructure across 20 key pages, AI bot access restoration, topical authority cluster across 4 core use cases. Citation tracking set up from launch to identify which queries were producing AI engine impressions and optimize further from that signal.