Reimagining growth.
Singapore's #1 AI SEO Agency for Generative Search.
We help B2B and B2C brands in Singapore stay visible in the era of AI-generated answers — combining Generative Engine Optimisation (GEO), Answer Engine Optimisation (AEO) and AI-driven search intelligence to build presence across ChatGPT, Gemini, Perplexity and the evolving search landscape.
Trusted by 450+ clients over 18 years across APAC
Multi Award-Winning Semrush Partner and One of Southeast Asia's Leading AI SEO Agencies.
Digital Squad is one of Southeast Asia’s most awarded SEO agencies, delivering high-performance SEO services in Singapore built for measurable growth. As official Semrush Partners — with our founder serving as an official Semrush Brand Ambassador — we combine enterprise-grade technical SEO, content strategy and AI-driven optimisation into a proven SEO framework refined across more than 40 industries.
Our AI SEO strategies are engineered to position your brand as a trusted source for large language models, answer engines and AI-powered search platforms — capturing demand at every stage of the evolving search funnel.
From B2B SaaS and enterprise brands to B2C retailers and professional services, we build scalable AI SEO systems that go beyond rankings — establishing the topical authority, structured data, and content depth that AI search engines reward.
Framework-first thinking
We harness AI-enabled search intelligence to help organisations rethink how they compete in organic channels. By engineering content for both traditional algorithms and generative AI systems, we build visibility that compounds — across Google, ChatGPT, Gemini, Perplexity, and whatever comes next.
Semrush Premier Partners & Generative Search Pioneers
We're one of Southeast Asia's most awarded SEO agencies and official Semrush Premier Partners — and one of the few agencies in APAC with a proven framework for GEO and AEO optimisation. Trusted by 450+ brands, we've built AI SEO systems that drive visibility, citations and qualified traffic from both traditional and AI-native search environments.
Deep Expertise in GEO, AEO and LLM Optimisation
AI search is not one discipline — it spans generative engine optimisation, answer engine optimisation, conversational search and entity-based authority building. Our experience spans complex B2B content ecosystems, SaaS knowledge hubs, and high-volume B2C content strategies — each engineered to be structured, authoritative and LLM-ready.
AI-Engineered Content Systems Built for Citation
Being cited by AI isn't luck — it's architecture. We build content systems that establish topical authority, implement structured data at scale, strengthen E-E-A-T signals, and engineer entity relationships that large language models recognise and trust. From knowledge base architecture to schema strategy, every element is designed to earn AI visibility.
Multi-Platform AI Search Visibility Across APAC and Beyond
AI search behaviour evolves differently across regions, languages and platforms. We've built AI SEO programmes across APAC, the Middle East, Europe and North America — developing cross-market strategies that ensure consistent brand presence in generative search results regardless of geography, language or platform.
We help businesses move from insight to execution — with AI SEO frameworks designed to build lasting visibility across traditional and generative search.
Phase 1
AI Search Intelligence Audit
We begin with a deep audit of your search presence across traditional and AI-powered channels — analysing E-E-A-T signals, entity associations, structured data coverage, content gaps, and how your brand currently appears in AI-generated answers across ChatGPT, Gemini, and more.
Outcome: a precise diagnosis of AI visibility gaps and the optimisation levers that will drive the highest impact across generative search.
Phase 2
AI SEO Strategy Blueprint
We build a tailored AI SEO roadmap aligning GEO, AEO and technical SEO priorities — covering entity optimisation, structured data architecture, topical authority mapping, and LLM-ready content frameworks.
Outcome: a structured, data-backed plan linking technical optimisation, content authority and AI search targeting to business outcomes.
Phase 3
Execution & Implementation Sprint
Our team activates the strategy through focused implementation cycles — publishing LLM-ready content, deploying structured data, strengthening E-E-A-T signals, and refining entity relationships that drive citation across AI search platforms.
Outcome: measurable improvements in AI search citations, traditional rankings, and brand visibility across the channels your audience uses most.
Phase 4
AI Search Monitoring, Reporting & Iteration
We track what matters — monitoring brand citations in AI Overviews and generative search responses, ranking trends, and competitive AI positioning. Insights feed into monthly optimisation cycles that refine and future-proof your search presence.
Outcome: sustained, compounding AI search visibility powered by continuous intelligence and proactive adaptation to the evolving search landscape.
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.”
Blog
Our latest insights
Contact
Request a Strategy Session
Tell us a little about your business and what you're looking to achieve. Every enquiry is reviewed by a senior strategist, so we can come prepared with practical recommendations.
FAQ
Commonly asked questions
We’re ready to help if you have more!
AI SEO, covering Generative Engine Optimisation (GEO) and Answer Engine Optimisation (AEO), optimises content to be cited by AI systems like ChatGPT, Gemini, and Perplexity, not just ranked in Google's traditional blue-link results. Traditional SEO targets ranked positions; AI SEO targets the AI-generated answer itself. The underlying signals overlap (E-E-A-T, structured data, topical authority), but the content architecture, entity strategy, and schema requirements differ. As AI-generated answers capture an increasing share of search sessions, brands that appear in those answers capture demand that never reaches traditional search results.
AI citation is earned through authoritative content architecture, structured data, and entity recognition, not a shortcut. LLMs cite sources they've indexed as authoritative on a topic, which means building deep topical coverage, implementing FAQPage schema correctly, strengthening E-E-A-T signals (author credentials, external citations, first-party data), and structuring answers the way AI systems retrieve and synthesise information. Pages with FAQPage schema achieve a 41% citation rate in Google AI Overviews compared to 15% without — the same pattern holds across other generative platforms.
Yes, and the two reinforce each other. AI search systems draw on the same authority signals Google's algorithm uses: backlinks, E-E-A-T, site architecture, and content depth. Strong traditional SEO is the foundation AI visibility is built on. AI SEO adds a layer of content architecture and structured data specifically designed for how LLMs retrieve and surface information, as it extends traditional SEO rather than replacing it. Brands that treat GEO as a separate discipline from SEO typically underperform on both.
AI search visibility is tracked across three dimensions: brand citation frequency in Google AI Overviews, brand presence in ChatGPT, Gemini, Claude, and Perplexity responses for target queries (tested systematically against defined query sets), and entity recognition, or how AI systems describe and associate your brand with relevant topics. We baseline all three at the start of an engagement and report monthly. Traditional ranking metrics are tracked alongside AI visibility, and the two are reported together, not separately, with data analytics connecting AI search citations to pipeline and revenue.
Traditional ranking improvements typically appear within 60–90 days. Google AI Overview citation improvements follow a similar timeline, as structured data and content changes are reflected in AI answers within 4–8 weeks for most sites. Building consistent citation in ChatGPT and Perplexity for competitive queries takes longer: 3–6 months of sustained content and authority work. The compounding effect, where AI systems increasingly associate your brand with a topic, builds meaningfully over 6–12 months. For Prolink, a Singapore consumer electronics brand, this type of content authority build reached 100K monthly organic visitors within six months.
Yes, starting from zero is common and not a disadvantage. Most brands we engage have no intentional GEO or AEO strategy in place; the gap is typically in structured data, content architecture, and E-E-A-T signals rather than domain authority. We begin with an AI Search Intelligence Audit that diagnoses exactly where AI visibility is absent and what the highest-leverage fixes are. For brands with strong traditional SEO foundations, AI search improvements often come faster than expected once the architecture is properly aligned.
AI SEO engagements typically run alongside a standard SEO retainer rather than replacing it because the technical and content work is complementary. For brands with mature SEO foundations looking to add GEO/AEO capability, we scope AI SEO as a programme extension. For brands starting from scratch, we design an integrated engagement covering both. We recommend a minimum three-month runway for the foundational architecture work to index and begin generating citation signals.