Reimagining growth.
APAC's #1 AI Search Optimisation Agency for Generative Visibility.
Become easier for AI search systems to retrieve, understand and cite. Digital Squad strengthens the technical access, entity clarity, expert evidence and digital authority behind your brand—then measures whether generative visibility is helping the right customers discover and evaluate you. The work supports traditional search as well as newer answer-led journeys, keeping customer usefulness and commercial relevance at the centre.
Trusted by 450+ clients over 19 years
AI search optimisation grounded in evidence, not speculative shortcuts.
Generative search changes how people encounter brands. A buyer may receive a synthesised answer before visiting a website, which makes accurate representation, credible citation and a clear path to further evaluation commercially important. This does not eliminate the website; it changes the evidence customers may encounter before deciding whether the brand deserves a visit, comparison or conversation.
Digital Squad combines technical SEO, structured information, entity strategy, expert content and authority development to make organisations more legible to answer engines. We improve the source material AI systems can retrieve instead of chasing unverifiable platform tricks.
The programme remains accountable to customer value. Visibility monitoring, referral behaviour, branded demand and downstream conversion evidence help determine whether stronger AI presence is influencing discovery and consideration. Because answer engines change rapidly, we preserve the prompt set, date, market and source evidence behind each conclusion instead of treating isolated screenshots as durable performance.
Framework-first thinking
Give answer engines clear, credible reasons to surface your brand.
AI visibility begins with accessible sources and consistent entities, then depends on useful expertise and trusted corroboration. We strengthen those foundations, monitor how systems represent the brand and turn the findings into an ongoing optimisation programme. The programme remains grounded in sources the organisation can improve and claims it can substantiate, avoiding manufactured authority or content written only for machines.
A clear picture of current AI visibility
We test commercially relevant questions across priority answer engines and markets, recording where the brand appears, which competitors are cited and whether the response represents your offer accurately.
Technical access and entity clarity
Crawlability, structured data, consistent naming, relationships and page architecture help machines identify the organisation and retrieve the right evidence. We repair ambiguity before adding more content.
Expert evidence designed for retrieval
Direct answers, useful explanations, original insight, customer proof and transparent authorship give both people and machines better material to evaluate. Content remains genuinely useful outside an AI result.
Authority, monitoring and commercial context
Trusted mentions and references strengthen credibility. Ongoing monitoring then tracks citations, representation, referral behaviour and business signals without pretending every model response can be controlled or perfectly attributed.
From AI visibility diagnosis to an evidence-led optimisation cycle.
Phase 1
AI Search Intelligence Audit
We benchmark priority prompts, cited sources, competitor presence, technical access, entity consistency and the quality of evidence available across the site. The benchmark records date, market, platform and source so later comparisons measure a defined question rather than a moving anecdote.
Outcome: a defensible view of where the brand is visible, misrepresented, absent or unsupported.
Phase 2
AI SEO Strategy Blueprint
We prioritise technical fixes, entity signals, content improvements, authority opportunities and measurement according to customer and commercial relevance. The roadmap separates corrections the organisation controls from external authority work and platform behaviours that can only be monitored.
Outcome: an AI search roadmap grounded in retrievability, credibility and realistic business value.
Phase 3
Execution & Implementation Sprint
Specialists improve key sources, publish answer-ready expertise, strengthen corroboration and resolve technical or structural barriers in focused sprints. Subject-matter experts review factual claims, and every new source must remain valuable to a customer who reaches it outside an AI answer.
Outcome: clearer source material and stronger evidence across the questions customers are likely to ask.
Phase 4
AI Search Monitoring, Reporting & Iteration
We repeat the prompt set, compare citation and representation changes, review referral and conversion signals, and refine the next cycle. We investigate why visibility changed—source access, competitor evidence, model behaviour or content quality—before prescribing more production.
Outcome: an evolving AI visibility programme that responds to evidence and platform change.
Trusted by people just like you.
Toni Truslov
Head of Marketing - Fonterra NZ
“From international strategy to technical execution, the team delivered SEO leadership beyond expectations. They implemented global SEO governance within our Adobe AEM environment, aligned multiple markets under a unified framework, and within one quarter we achieved 30% organic growth across priority regions. Their clarity, precision and enterprise-level discipline positioned us for sustained global visibility. Trusted, strategic and second to none.”
Charlotte Joshi
Marketing Manager - Squirrel Mortgages
“Within nine months of engaging Digital Squad, we achieved a 510% increase in organic traffic value and a 68% uplift in mortgage applications. We overtook New Zealand’s leading banks across the most competitive terms in our industry — a massive shift given we had hit a glass ceiling with our previous provider of four years. Their strategic clarity and execution completely redefined our growth trajectory.”
Callista H.
Head of Marketing at Prolink Consumer Electronics (SG)
“From zero to 100,000 monthly visitors in just ten months with engagement rates approaching 90%. Exceptional work and undoubtedly as good as it gets when it comes to SEO strategy and execution.”
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Tell us which customers, questions and AI search surfaces matter to your business. A senior strategist will review your current visibility and the evidence available.
FAQ
Frequently asked questions
Practical answers for organisations improving visibility in AI search.
AI search optimisation improves how answer engines retrieve, understand, represent and cite a brand. It combines the foundations of SEO with entity clarity, structured evidence, answer-ready content, trusted references and monitoring across generative search experiences. The goal is accurate, useful visibility across the questions that influence discovery and evaluation—not mentions for their own sake.
There is no guaranteed citation formula. We improve technical access, make entities and claims unambiguous, publish useful expert evidence and strengthen corroboration from trusted sources. These conditions give answer engines better material to retrieve and evaluate. We also review whether existing third-party sources contradict or omit the brand, because owned-page changes alone may not resolve the evidence gap.
The right set depends on customer behaviour, category and geography. We normally begin with commercially important questions across Google AI experiences, ChatGPT, Perplexity and other relevant platforms, then separate markets or languages where results differ meaningfully. The benchmark stays deliberately finite so changes can be compared consistently instead of cherry-picking whichever new prompt produces a favourable result.
We track citation presence, representation, cited sources, referral behaviour and changes in branded or assisted demand. Where analytics permit, these signals connect to qualified actions through marketing analytics. We clearly distinguish observable evidence from inference. A citation can be meaningful without producing a direct click, so reporting considers assisted discovery and later branded behaviour while avoiding false precision.
Yes. An absence can result from weak technical access, unclear entities, insufficient relevant coverage, limited authority or simply low category prominence. We diagnose the likely causes, prioritise the sources customers need and establish a baseline for improvement. The remedy may involve consolidating unclear pages, publishing missing proof, correcting inconsistent facts or earning stronger independent references—not simply adding articles.
No. Accessible pages, sound architecture, expert content and authority remain essential to both traditional and generative discovery. AI search adds requirements around entity understanding, answer representation, citation monitoring and the way evidence is packaged for retrieval. Treating the two as substitutes usually duplicates effort and weakens the common source material both forms of discovery need.
Technical and content improvements can be delivered within an opening 90-day cycle, but citation behaviour changes unevenly across systems. A useful programme measures a stable prompt set over several cycles and adapts as new evidence, competitors and platform behaviour emerge. We report early technical delivery separately from later changes in representation, citations and customer behaviour so progress is not overstated. The Prolink case study shows what sustained content and authority work can achieve, without turning one outcome into a promise for every programme.
Yes. The most efficient approach shares technical fixes, content research, authority work and measurement with SEO, then adds AI-specific prompt monitoring, entity review and representation analysis. This avoids creating two competing search strategies. Shared priorities also make it easier to understand whether a change helped search broadly or only altered one monitored answer.