How Daynt Went from Zero AI Search Visibility to Consistent LLM Appearances in 5 Months 

This was the most damaging gap. A US startup founder searching ChatGPT for “best software development partners for startups” or triggering a Google AI Overview for “tech team as a service” got recommendations, but Daynt wasn’t among them. Not once.

The site had no GEO strategy. Content wasn’t formatted for how LLMs read and cite sources. And in a market where B2B buyers now start vendor research inside AI tools, that meant Daynt was invisible during the most critical phase of the buying cycle.

Daynt’s existing service pages were built for human readers but not optimized for the way LLMs and generative engines parse, interpret, and surface content.

Without contextual authority signals, structured topic clusters, and AI-readable content formatting, the site couldn’t compete for AI-generated answers in the technology services space.

The US tech services space is crowded. Hundreds of companies compete for the same buyer attention, and most of them are already US-based with established brand recognition. Breaking in from Dublin, with no existing US search footprint, meant standard SEO tactics wouldn’t cut it.

Daynt needed keyword targeting mapped to how US buyers actually search, content that spoke to startup CTOs and engineering managers specifically, and a paid strategy built around pipeline rather than impressions.

Before UnoSearch, Daynt’s digital marketing efforts lacked cohesion. SEO and paid campaigns weren’t aligned under a shared keyword and audience strategy, making attribution difficult and ROI measurement near-impossible. There was no performance dashboard tying activity to revenue outcomes.

Without a coordinated content and messaging strategy, Daynt’s brand positioning varied across pages and platforms — weakening the authority signals that both traditional search engines and LLMs use to decide whether to surface and cite a brand.

The strategic centrepiece of the engagement was a comprehensive Generative Engine Optimization framework purpose-built for Daynt’s B2B context. UnoSearch restructured Daynt’s digital content to align with how LLMs like ChatGPT, Perplexity, and Google’s AI systems parse, prioritize, and cite sources.

This involved rewriting key service pages using direct-answer content structures preferred by AI engines, building topical authority clusters around Daynt’s core service areas — custom software development, product engineering, AI & ML, ERP/CRM modernization and ensuring consistent entity and brand signals across all digital touchpoints.

The goal was to make Daynt not just indexable by AI platforms, but citable — the kind of source that gets named when a buyer asks an LLM to recommend a technology engineering partner.

Beyond individual pages, we rebuilt the site’s entire content architecture.

Every service page, blog post, and landing page was mapped against the specific concerns and decision criteria of US-based B2B technology buyers. We wrote for startup CTOs evaluating outsourced engineering options. Product leaders comparing staff augmentation models. Engineering managers trying to decide between hiring internally and bringing in an external team.

The content wasn’t generic “digital transformation” marketing speak. It spoke directly to the questions these buyers were asking, structured so both Google and AI platforms could confidently pull answers from it.

UnoSearch ran keyword research specific to Daynt’s ideal client profile: US tech startups and scaling businesses looking for external engineering teams.

We organized keywords across the entire buying cycle:

• Early awareness: “tech team as a service,” “outsourced software development,” “staff augmentation vs in-house hiring”
• Active evaluation: “best software development companies for startups,” “custom software development Dublin,” “product engineering partners USA”
• Decision stage: “hire dedicated development team,” “software development company for startups USA,” “technology partner for MVP development”

This keyword map drove both the organic content plan and paid campaign structure. So when a prospect searched Google, read a blog post, clicked an ad, and then asked ChatGPT for recommendations, Daynt’s positioning stayed consistent across every touchpoint.

While organic and GEO layers built momentum, UnoSearch launched paid search campaigns to generate US leads immediately.

The PPC funnel was structured around real B2B conversion events: demo requests, consultation bookings, and contact form submissions. Not impressions. Not clicks. Actual pipeline. Landing pages were built for specific service and audience segments, with messaging that matched the organic content strategy.

Campaign structure, ad copy, and bidding were all built around Daynt’s US revenue targets.

This is the part Daynt’s leadership cared about most, and it’s the part most agencies skip.

UnoSearch built performance dashboards that connected organic rankings, paid campaign spend, and conversion events directly to pipeline and revenue. Daynt’s managing director could see, in real time, which channels were driving qualified conversations and which campaigns were worth scaling.

Not impressions. Not page views. Revenue.