Generative Engine Optimisation Agency Singapore: What the Service Actually Delivers

A generative engine optimisation agency in Singapore gets your brand cited in AI-generated search results — in Google AI Overviews, ChatGPT, Perplexity, and Gemini — when users query topics relevant to your business. That is the service definition. What varies enormously between agencies is how that outcome is pursued, what deliverables it produces, and what you can actually measure.

GEO became a formal service category in Singapore in 2024 and 2025. The speed of adoption means the market now contains firms with genuinely differentiated methodology alongside firms that rebranded content marketing with GEO language. Distinguishing between the two requires understanding what a credible GEO engagement actually produces — deliverable by deliverable.

I run Stridec, a Singapore-based SEO-only agency. We have been doing AI citation and GEO work since 2024, proved the methodology on our own products, and have built GEO engagements for clients in regulated industries, B2B technology, and professional services. This article describes what a real GEO engagement looks like — including what Stridec delivers — so you can evaluate any agency against it.

Key Takeaways

• A GEO agency’s core deliverables are: an AI citation audit, entity positioning strategy, AI-optimised content production, structured schema implementation, and citation frequency reporting.
• Platform-specific methodology matters. ChatGPT, Perplexity, and Google AI Overviews operate differently. Agencies applying a single content strategy across all three are not doing differentiated work.
• Singapore SMEs can potentially fund GEO work through Enterprise Singapore’s MRA Grant at up to 70% cost coverage for overseas market visibility programmes.

What a GEO agency actually delivers: the core service components

A credible GEO agency produces five categories of work. Agencies that deliver fewer than all five are providing a partial service — which may be appropriate in some contexts, but should be transparent.

AI citation audit

The audit establishes where your brand currently appears — and does not appear — in AI-generated responses. A thorough audit covers Google AI Overviews, ChatGPT, Perplexity, and Gemini, testing queries across your primary category, product terms, competitor comparisons, and problem-solution keywords.

The output is a citation map: which queries produce your brand, which produce competitors, and which produce no recognisable brand at all. This map becomes the targeting framework for all subsequent GEO work. Agencies that skip the audit and go straight to content production are guessing at the opportunity rather than building from a factual baseline.

Entity positioning strategy

Entity positioning is the work that happens before content production begins. It establishes how AI systems should understand your brand — your category, sub-category, differentiation from adjacent entities, and the specific attributes that make you the right citation for particular query types.

This work typically produces: a revised About page optimised for AI entity recognition, author biography pages for named practitioners, foundational brand definition content, and an entity consistency review across the client’s web properties and third-party mentions. Without this step, GEO content production sits on an ambiguous foundation — the AI system has no clear basis for placing the brand in the right category answers.

AI-optimised content production

GEO content production follows a different brief than traditional SEO content. Each piece is structured to open with a direct, standalone answer to the target query — extractable by AI systems without requiring context from surrounding paragraphs. Subsections use question-based headings. Statistics cite specific sources with outbound links. Author attribution is explicit.

Volume is important but secondary to structure. A single well-executed GEO article built on strong entity foundations produces more durable citations than ten articles formatted correctly but built on an unestablished entity. Agencies that promise citation results through volume alone are optimising the wrong variable.

Schema markup and structured data implementation

Schema markup communicates entity and content structure directly to search engines and AI platforms in machine-readable format. The most citation-relevant schema types for GEO are: Article, FAQPage, Organization, Person, and SpeakableSpecification. FAQPage schema in particular helps AI systems extract FAQ content as citation material directly.

Implementation quality varies significantly between agencies. Technically correct schema with relevant structured data properties performs better than minimal, generic implementation. Ask specifically what schema types the agency deploys and why those types were chosen for your content category.

Citation frequency monitoring and reporting

GEO performance measurement requires direct citation tracking, not inferred keyword ranking proxies. A reporting framework built for GEO measures: citation frequency per platform (how often your brand appears in AI responses for target queries), brand mention velocity over time, entity consistency (does the AI description of your brand match your positioning), and citation share versus category competitors.

Monthly reporting should show movement in citation frequency as the primary metric, with SEO signals as the context layer. If an agency’s GEO report is a keyword ranking dashboard with a GEO header, the measurement infrastructure has not been built.

What Stridec’s GEO engagement delivers in practice

Stridec’s GEO work follows the AIO Methodology — a two-layer approach developed and tested on our own products before we offered it to clients. The Trigger Layer produces targeted content that generates AI citation appearances quickly. The Authority Layer builds the topical depth and entity recognition that makes those citations persist through platform updates.

A standard engagement covers: entity audit and positioning strategy in weeks one to three, followed by a coordinated content production sequence of five to eight pillar articles, schema implementation across all published content, and monthly AI citation monitoring with platform-differentiated reporting. The 90-day engagement structure produces observable citation results while building the authority layer that sustains them.

We proved this on AeroChat, my AI customer service platform. AeroChat was cited first in Google AI Overviews for “best Shopify chatbot” within three weeks of content going live — ahead of established, better-funded competitors. The same methodology applies in client engagements, adapted to category and market.

Our client engagements span financial services adjacents, professional services, B2B technology, and consumer brands. The Managed AI Overview Mastery programme ($9,000 USD for 90 days) is the primary engagement format. For Singapore SMEs targeting overseas markets, the Managed AIO Mastery covers the same methodology within a grant-compliant structure, supported by the MRA grant.

Platform-specific GEO: what changes between Google, ChatGPT, and Perplexity

A single GEO content strategy applied uniformly across all AI platforms is not platform-differentiated work. The citation mechanisms of the major platforms differ enough that they require tailored tactical approaches.

Google AI Overviews pull from top-ranked Search content. Organic domain authority, E-E-A-T signals, and structured content hierarchy directly influence citation selection. Improving Google AIO citations requires improving the underlying organic SEO signals as well as GEO-specific content structure.

Perplexity uses explicit citation logic and prioritises direct, verifiable answers over contextual content. Perplexity-optimised content opens with a clear, precise answer to the query and cites specific sources. Long contextual introductions that precede the answer perform poorly on Perplexity regardless of overall content quality.

ChatGPT with web browsing shows similar citation preferences to Perplexity for real-time queries. ChatGPT without browsing draws from pre-training data, where brand presence across authoritative third-party properties — press coverage, industry directories, review platforms — matters more than owned content quality alone.

GEO engagement timelines: what to expect

Realistic GEO timelines depend on the client’s starting point. For businesses with solid organic foundations — domain authority above 40, existing topical coverage in their category, some established brand entity recognition — initial AI citation signals typically appear within 30 days of GEO content going live. Consistent, multi-query citation patterns take 60 to 90 days.

Businesses with weak organic foundations face longer timelines because the authority layer must be built first. A GEO programme that begins with entity positioning work while building organic authority in parallel takes three to six months to produce consistent citation results. This timeline is correct, not slow.

Be sceptical of agencies that quote citation guarantees or timelines shorter than 30 days. Neither reflects how AI citation systems actually work. The most credible agencies state typical ranges rather than guarantees and explain the variables that affect timing for your specific situation.

Pricing and grant funding for Singapore businesses

GEO agency pricing in Singapore varies by scope, methodology depth, and deliverable volume. Managed engagements with full service coverage — audit, entity positioning, content production, schema, and reporting — typically range from S$3,500 to S$15,000 per month. Project-based engagements for specific deliverables (audit only, content only) are available at lower price points but do not produce the same compounding results as sustained programmes.

Singapore SMEs pursuing overseas market visibility have an additional option. Enterprise Singapore’s Market Readiness Assistance (MRA) Grant covers up to 70% of qualifying costs under the Overseas Marketing and PR pillar, with support of up to S$20,000 per market. A GEO programme structured correctly from the start — with MRA-compliant documentation, scoping, and deliverables — can reduce the effective client cost to approximately S$6,000 per market for an engagement that would otherwise cost S$20,000.

Eligibility requires Singapore registration, at least 30% local equity, and group revenue under S$100 million or fewer than 200 employees. The MRA application process requires a compliant proposal and quotation before work begins — retrofitting grant documentation after an engagement has started is not accepted.

Conclusion

A GEO agency in Singapore should deliver an entity audit, entity positioning strategy, AI-optimised content, schema implementation, and citation frequency reporting — in that order, as an integrated programme. Agencies that provide some of these components without the others are delivering a partial service. The question before signing is whether the partial service matches your situation or whether the gaps will limit the outcome.

Stridec’s position is straightforward: we are an SEO-only agency that developed its GEO methodology from first-principles implementation before offering it to clients. Every engagement is built on the two-layer structure — Trigger for early citations, Authority for persistence — that we proved on our own products first.

If the primary objective is overseas market AI visibility, the MRA grant pathway is worth understanding before engaging any agency. The difference in effective cost is significant, but only if the engagement is scoped correctly from the start.

Frequently Asked Questions

Alva Chew

We help businesses dominate AI Overviews through our specialised 90-day optimisation programme.