We make sure your brand is the answer ChatGPT, Claude, Perplexity, Gemini, and Google AI give.
AI visibility and AI ops advisory for businesses in Singapore.
Built by the team that scaled a Singapore DTC brand past SGD 10M over 8 years.
Your brand checked on 3 real buyer queries across 2 AI surfaces, graded, plus the single gap costing you the most. Free, 48 hours. The full 7-dimension AI Visibility Score is built as the baseline of any AEO engagement.
A 45-minute discovery call, an analysis run through the Firstpress frameworks, and a simple report: executive summary, effort vs impact matrix, quick wins, a 4-day quick start plan, and one ROI slide. Then a 30-minute review call. We find at least 5 reclaimable hours a week or you get the full SGD 1,500 back. The fee credits toward any engagement within 90 days.
Done-with-you: two 45-minute working sessions a month building Claude skills and workflows with your team, plus WhatsApp access with a 12-business-hour response window. Capped at 6 clients. Entered only via the Assessment.
Done-for-you AI visibility execution across the full intervention framework, scoped from your assessment. Foundations Sprint runs 3 months at SGD 8-10K/mo for the technical floor and a working measurement baseline. Full Retainer runs 6 months at SGD 7-10K/mo for every intervention the assessment flags. Two terms of one engagement.
Implementation projects (automation builds, knowledge systems, process redesign, custom Claude skills) are quoted SGD 1,500 to 8,000 off assessment findings. Your assessment fee credits toward any of them.
Before advising on AI operations, Firstpress ships them. Here are the products, tools, and case work running in the wild.
Will help Singapore businesses find AI-related grants they qualify for. Free, no email to start.
AI operator for Shopify brands. Watches Shopify, Klaviyo, and Meta in one Telegram thread.
Segmentation rebuild that suppressed 29,000 dead profiles and recovered email revenue for a large DTC account.
Every intervention Firstpress recommends is one we've already run on our own stack.
Before a model can recommend you, it has to parse you cleanly. Rendered HTML the crawlers actually see, structured data, answer-first pages, content that stays current.
Parsing is not belief. The model weighs who you are: entity signals it can verify, and the third-party listings that corroborate you exist and matter.
The only question that pays. When a buyer asks, does the model name you, and does it name you ahead of the brands you compete with?
The framework we work through inside an engagement, from technical floor to off-site signal to measurement. A few are shown below. The rest open up once we start.
The full 16-intervention map, sequencing, and the decision tree open up inside engagements.
I co-founded a Singapore DTC brand in 2018 and ran it as CEO for 8 years. We scaled to 8-figure annual revenue without outside capital.
I now work as operator-in-residence for a small number of brands building the same way. Firstpress is where I ship that work publicly: AEO, AI ops, and the infrastructure that makes both run.
After 8 years operating a real DTC brand, the parts of the stack moving fastest are whether AI tells a buyer your name, and whether your team runs AI-native day to day.
Your brand checked on 3 real buyer queries across 2 AI surfaces, graded, with the single gap costing you the most. Back within 48 hours. No call required. Prefer to just talk? Email ben@firstpress.ai.
