SEO, AI search, and content marketing — three motions that compound into pipeline you do not have to keep buying.
A typical 12-month split for our B2B clients — every slice is engineered to feed the next. SEO and AI search overlap because the same pages do both.
AI search optimisation, classical SEO, and content marketing are not three line items. They are one engine where every published asset is engineered to rank in Google, get cited by ChatGPT and Perplexity, and answer the exact question your buyer asked your sales team last week.
We pull your CRM, sales-call transcripts, and current rankings. Map every query — Google searches and AI prompts — to a real buying stage and a revenue value.
We ship the bottom of the funnel first — comparison, alternatives, pricing-style pages — then mid-funnel guides, then top-funnel category pages. Every page is engineered for both Google ranking and AI citation.
Original data studies and expert-led pieces placed in publications your buyers read. AI tools and Google both reward primary research.
Quarterly review of what is ranking, what is being cited, and what is converting. Kill what does not compound; double down on what does.
A Selangor-based industrial automation supplier ranked top-3 for generic industry terms but generated almost zero leads from organic. Sales said the people who called from the website were the wrong size, wrong industry, or just doing student research. AI tools never cited them.
We rebuilt the keyword strategy from 90 sales-call transcripts, retired 22 thin blog posts, shipped 14 bottom-funnel pages tuned for buyer intent, and added schema plus original-data signals that AI tools quote.
