GEO Agency in Singapore: Track and Grow Your Brand in ChatGPT, Gemini and Google AI Answers
Canlah AI is a GEO agency in Singapore. We record how ChatGPT, Gemini, Google AI Overviews and AI Mode answer the questions your buyers ask, show you who gets named instead of you, then fix the causes on your site and in the sources those engines cite. Same questions re-measured every month; the raw answers are yours.
- 4 AI engines on every plan: ChatGPT · Gemini · Google AI Overviews · AI Mode
- Baseline first, re-measured monthly
- First before/after by day 60, decision-grade read by day 90
- 3 plans: 4, 8 or 16 buyer questions
- Plans from US$199/month
Who is this for?
Singapore and regional brands whose buyers ask an AI assistant for a shortlist before they ever send an enquiry. When the first question is "who should I look at?", the answer decides whether you are in the running.
Founders and procurement leads ask ChatGPT or Gemini which vendors to shortlist, then visit two or three of them.
Parents ask AI which centres to compare, and the answer narrows the list before a trial class is booked.
Diners ask for a place by occasion, price band and neighbourhood, and AI answers draw on food media and review sites.
Overseas buyers research Singapore and regional suppliers through AI assistants before the first call.
We deliver in English and Chinese, so bilingual buying committees get the same evidence in their own language.
What do you get each month?
Three plans. Every plan is measured on the same four engines with the same protocol; the plans differ in how many buyer questions you lock, how much content we produce and how much off-site work we do.
| What you get | Foundation | Authority | Dominance |
|---|---|---|---|
| Buyer questions tracked | 4: brand verification and branded comparison questions | 8: adds scenario and subcategory questions | 16: adds non-branded category recommendation questions |
| Engines, re-measured monthly | ChatGPT, Gemini, Google AI Overviews & AI Mode | ChatGPT, Gemini, Google AI Overviews & AI Mode | ChatGPT, Gemini, Google AI Overviews & AI Mode |
| Client evidence dashboard | Included | Included | Included |
| AI-optimized content | 4–6 articles per month | 8 articles per month | 12 articles per month |
| Off-site authority placements | — | 2–3 per quarter | 3–4 per quarter |
| Community presence (disclosed identity) | — | 2 community platforms | Customer advocates + brand community |
| Conversion landing pages | — | 1 per month | 2 per month |
Behind the table, every engagement runs through four stages. Each stage produces named deliverables, and each deliverable is tied back to the measurement protocol, so progress is something you verify, not something you take on faith.
We lock your query pool, run the full multi-engine probe, and deliver a baseline report: which engines cite you, which cite competitors, at what frequency, sourced from which pages — with the complete evidence archive attached. This baseline is the fixed point every later report compares against.
We map your buyer roles to query clusters and set the channel mix according to citation physics rather than habit. Industry citation studies indicate roughly 82% of AI citations come from earned media — third-party listicles, review platforms, community discussions — so we weight off-site authority accordingly instead of over-investing in your own domain.
We make your site quotable by machines: 40–60-word answer capsules in the first lines of every key page, structured data (Organization, Service and FAQ schema), an AI-facts page and llms.txt, honest comparison pages, and indexation plumbing. AI engines frequently compose answers from titles, descriptions and first-screen text without opening the page — so the first screen is engineered as the primary asset, not an afterthought.
We build presence in the sources AI engines actually cite: review platforms such as G2, Capterra and Clutch; inclusion in authoritative "best of" roundups; original research other publications cite; and community participation on platforms like Reddit — always under a disclosed, affiliated identity. We treat disclosure as a feature, not a constraint: undisclosed accounts are a compliance and reputation liability that eventually lands on the client, and we will not create one.
Every month: the identical re-probe, a citation-frequency comparison against baseline, and AI-referral attribution from your own analytics — assistant-referred sessions and sign-ups you can verify without us in the room.
How long does GEO take?
About 90 days to the first reliable read. On-site foundations ship in the first 30 days, the first before/after comparison lands at day 60, and by day 90 there are enough repeated samples to decide on. Nobody can guarantee AI answers — engines are non-deterministic and their retrieval changes without notice — so the timeline is written as checkpoints you can confirm yourself, not as outcomes we do not control.
Query pool locked, full multi-engine probe complete, baseline report and evidence archive delivered. On-site foundation shipped: answer capsules, structured data, AI-facts page, llms.txt.
Checkpoint: you hold the raw records and can re-run any probe yourself.
Second full re-probe under the identical protocol; first citation-frequency movement report, presented as ranges against baseline. First off-site placements live — every one disclosed and listed.
Checkpoint: a before/after table where both sides were produced the same way.
Third re-probe; enough repeated samples for the trend to mean something. Quarterly query-universe review with your team, plus AI-referral attribution from your own analytics.
Checkpoint: a decision-grade report on what moved, what did not, and what the data says to do next.
GEO is compounding work. The honest expectation — which we set in writing — is that roughly 90 days produces the first reliable before/after, and momentum builds from there. Any vendor promising cited answers in week two is describing luck, not a method.
How do you measure it?
The same way every month, so this month's numbers can be compared with last month's and checked by someone other than us:
- 01
The buyer questions on your plan — 4, 8 or 16 — agreed with you and locked for the measurement period.
- 02
Each question asked several times per engine, in rotated phrasings, on ChatGPT, Gemini, Google AI Overviews and Google AI Mode.
- 03
Results reported as ranges against your baseline, never as one screenshot or a rank position.
- 04
Raw answers, citations and timestamps kept for you, so anyone can re-run the set and check our numbers.
What has Canlah found for clients?
Diagnostics, not before/after claims: these are measurements from the first weeks of client work, each traceable to probe records, screenshots and timestamps the client can re-check.
Omakase restaurant, Singapore (anonymised)
A comparable peer in the same price band was named in 11 of 32 non-branded AI answers; the client in 1. In Google AI Mode the peer was named 4 of 4 times, the client 0 of 4. Google had indexed 2 of the site's 7 pages, and the site carried no restaurant structured data.
Premium restaurant group, Singapore (anonymised)
3,452 genuine reviews across restaurants each rated 4.5★ or higher, yet zero recommendations across 49 non-branded probes on three AI engines. Mobile first-screen load time: 16.8 seconds against a healthy threshold of 2.5.
Named with permission: TAFA Education Group — its parent platform and four sub-brands, including Futurum Academy and TreeArt, plus the Magi product line.
Our own numbers, including the bad ones
canlah.ai is enrolled in the exact program we sell. Our July 2026 self-audit baseline, run under the protocol below, showed our brand cited in zero of our own commercial-intent queries — a blunt starting point we chose to publish rather than bury, because it is the "before" photo every client engagement also begins with. We re-probe our own pool on the same monthly cadence we apply to clients.
We also ran our own category. The figures below come from instrumented runs on a GPT-5.5 class model with web search, Singapore, 30 rounds across six buyer questions, 30 August 2026 — plus a separate 15-round set on Google AI Overviews in September. One vendor's measurements of its own category, stated with their limits so you can weigh them.
Our own visibility on pure SEO questions
On "best SEO agency Singapore" and "top SEO agencies in Singapore 2026", our brand was named in zero of five runs each. We rank on questions that use the words GEO or generative engine optimisation, and not on the words most buyers actually type. We publish this because a vendor who will not show you their own weak numbers will not show you yours.
Where we do get named
On "generative engine optimization agency singapore" we were named and cited in three of five runs, and on "best GEO agency" in two of five. That is a narrow win on category-specific vocabulary, not a general one.
Most-cited source in that run set
One agency directory was cited in 18 of 30 rounds on that engine — more than any agency's own website. On a different engine, in a separate 15-round set, the same directory appeared zero times while Singapore agencies' own sites made up eleven of the fifty-five cited domains. Which sources matter depends on which engine you are asking about.
Same question, different answer
Issuing one identical prompt three times in fresh sessions returned three different vendor sets. This is the single most important thing to understand before buying: any claim resting on one screenshot describes one roll of the dice.
These describe two engines on two question sets in one market, over two dates. They are not a ranking of Singapore agencies.
Our team's client work has included Haleon, Starbucks, ByteDance, Alibaba Cloud, Publicis and McCann, and Canlah was Global Runner-up at MWC Pitch2Pitch 2025 from a field of over 3,000 startups.
What we will not promise
We do not guarantee citations, placements or rankings — our commitments are to deliverables, cadence and reproducible measurement. We do not report vanity metrics; only frequency data you can re-verify and referral traffic you can see in your own analytics. We do not operate undisclosed community accounts under any circumstances.
What we do commit to, in writing:
- The deliverables listed for your plan, every month.
- The monthly re-measurement, on the same questions and the same four engines.
- Evidence you can re-check: the raw answers, the citations and the timestamps.
Every claim on this page is checkable. That is the point of the page, and it is the point of the agency.
Comparing GEO agencies?
Hold every vendor, including us, to the same tests. These are the guides we would read first.
- How to choose a GEO agency in Singapore: 5 criteria and 8 RFP questions
The buyer framework: what to ask every vendor for in writing, with eight providers' public claims checked side by side.
- 10 Best GEO Agencies in Singapore (2026) — Ranked With Probe Data
Every Singapore GEO agency — ourselves included — ranked on the same criteria, with live AI probe evidence and the full price table.
- GEO Pricing in Singapore: Tiers, Scope Variables and the 2026 Market
How GEO retainers are structured, what moves a quote, published market ranges, and how the MRA grant can apply.
- How to Check if ChatGPT Recommends Your Brand (Free, 15 Minutes)
The self-test protocol: buyer questions, repeated runs, per-engine scorecards — and the traps that invalidate most self-tests.
- GEO vs SEO in 2026: What Actually Changed
Where the two disciplines overlap, where they diverge, and why rankings no longer guarantee citations.
Comparing terms rather than vendors?
- AEO agency in Singapore — where the three acronyms come from and where they genuinely differ.
- AI search agency in Singapore — the symptoms, and how each one is diagnosed.
- GEO versus SEO — what carries over from search engine optimisation and what does not.
- In-house versus an agency — the case for keeping this inside, made honestly.
What a GEO Agency Does — and Why Singapore Businesses Need One Now
Generative engine optimization (GEO) is the discipline of making a brand visible, cited and recommended inside AI-generated answers — in ChatGPT, Gemini, Google AI Overviews and Google AI Mode — rather than only ranked in classic search results. A GEO agency does for AI answers what an SEO agency does for the search results page: it engineers the signals those systems retrieve, trust and quote.
The reason this matters now is a change in buyer behaviour, not a change in fashion. When a procurement lead in Singapore asks an AI assistant "which vendor should we shortlist for this," the assistant composes a direct answer from the sources it can retrieve and verify. If your brand is absent from those sources, you are absent from the answer — and the buyer may never reach a results page where your rankings could have saved you. Peer-reviewed research on generative engine optimization (the Princeton GEO study, Aggarwal et al., KDD 2024) found that the strongest interventions — adding statistics and adding quotations — lifted visibility by up to 41% on its position-adjusted word count metric, evidence that these systems respond to deliberate, well-engineered signals rather than luck. The paper is explicit that effect sizes vary by domain, so we treat it as a directional ranking of techniques, not a number to promise you.
For companies evaluating generative engine optimization in Singapore, the practical question has shifted. Shortlisting the best SEO agency in Singapore used to mean comparing keyword rankings and backlink counts. Today it means asking a harder question: can this agency show me, with evidence I can independently verify, whether AI engines cite my brand — and whether that changed after their work?
That question is the entire premise of this page. Canlah AI is a premium SEO + GEO agency headquartered in Singapore, founded in 2024, delivered by an AI agent workforce under human strategy oversight. We make you the answer — and prove it.
The GEO Industry Has an Evidence Problem
Nearly every agency now selling AI SEO services in Singapore claims to "track AI citations" or "monitor your brand in ChatGPT." Very few publish how. Fewer still show a single row of real measurement data on their own websites. The claim of measurement has become table stakes; the practice of measurement remains rare — because a real measurement pipeline is expensive to build and impossible to fake once a client asks to see the raw records.
We think buyers should force the issue. Before engaging any GEO agency — including us — ask for three things in writing:
- 01The probe methodology.
Which engines are tested, how many phrasings of each query, and how many repeated runs? An AI answer changes with wording and with repetition; a methodology that cannot name these numbers is a screenshot, not a measurement.
- 02The KPI definition.
How is "AI visibility" actually computed? If the answer is a rank position or a one-off appearance, be skeptical — independent studies of AI answer volatility show cited sources can shift 40–60% month to month, which makes single-snapshot "rankings" close to meaningless. The defensible unit is frequency: how often you appear across repeated, controlled runs.
- 03The evidence archive.
Can you receive the raw records — full prompts, full responses, timestamps — so that you, or a rival agency, could re-run the same pool and check the numbers?
Any agency doing this work honestly can answer all three without hesitation. Take this checklist into every evaluation you run. Our answers to all three are published in full in the next section.
Our Measurement Protocol: How We Prove AI Visibility
This is the section our competitors do not have, because it requires a working probe pipeline rather than a paragraph of claims. Every Canlah engagement runs on the same six-part protocol:
We agree the 4, 8 or 16 buyer questions in your tier with you — from brand verification and branded comparisons up to scenario, subcategory and non-branded "best/top" category questions — and lock them into the contract for the measurement period. No swapping queries mid-stream to flatter the numbers.
AI engines answer the same intent differently depending on wording. Every query in the pool is probed under at least three phrasing rotations per engine, with repeated samples across the reporting period, so the result reflects the intent — not one lucky sentence.
Probes run on ChatGPT, Gemini, Google AI Overviews and Google AI Mode, the same set on every tier. Engines retrieve differently and cite differently; a single-engine number is a partial truth presented as a whole one.
Every probe is stored as a raw JSON record — the exact prompt, the full response, the citations returned, the timestamp. The archive is yours. A skeptical stakeholder, an auditor, or a competing agency can take the pool and re-run it.
We report citation frequency — the share of controlled runs in which your brand is cited or recommended, per query, per engine — as ranges, not single points. This is the only KPI design that survives the documented month-to-month drift in AI answers.
The same pool, the same phrasings, the same engines, re-run on a fixed cadence. Before/after comparisons are only honest when both sides of the comparison were produced the same way.
Two disclosures we make that most vendors will not. First, tracked probes are re-run monthly — we do not claim real-time monitoring, because no honest vendor can. Second, a probe is a controlled proxy for what a buyer is likely to see, not a literal recording of every user's screen. We label it as such in every report, and we anchor client-facing conclusions to what a client can reproduce in their own browser.
Ask us for a sample evidence pack and we will send one: real probe records, redacted, exactly as a client receives them. Prefer to run the instruments yourself first? Try our tested AI marketing skills — the same class of tooling this protocol is built from.
GEO vs Traditional SEO: What Actually Changes
GEO does not replace SEO — it extends it. Crawlability, site health and content quality remain the foundation; AI engines cannot cite what they cannot retrieve. What changes is the unit of success, the shape of the work, and how honestly it can be measured.
| Traditional SEO | Generative engine optimization (GEO) | |
|---|---|---|
| Goal | Rank on the results page | Be cited and recommended inside the AI answer |
| Unit of success | Position for a keyword | Citation frequency across repeated, controlled runs |
| Where the battle happens | Your pages vs. competitors' pages | The source pool engines retrieve from — listicles, review platforms, communities, plus your site |
| Content shape | Long-form, keyword-targeted | Direct answer capsules, extractable facts, structured data |
| Off-site signal | Backlinks | Earned citations — third-party mentions engines retrieve and trust (~82% of AI citations, per industry studies) |
| Volatility | Rankings shift gradually | Answers drift 40–60% month to month; single snapshots mislead |
| Honest measurement | Rank trackers, established | Requires a probe protocol: locked queries, phrasing rotation, frequency KPIs, evidence archives |
| Relationship | The foundation | Built on top of SEO — never instead of it |
If an agency proposes GEO while your site still has broken indexation or thin service pages, sequence matters: foundation first. Our baseline audit covers both layers precisely so that the plan starts from what is actually broken, not from what is fashionable to sell.
One Protocol, Four Engines
Each AI engine retrieves and cites differently, which is why single-engine reporting flatters some brands and buries others. Our protocol probes all four and tailors the work to how each one behaves.
| Engine | How it retrieves | What tends to get cited | Our corresponding play |
|---|---|---|---|
| ChatGPT (with search) | Live web search; frequently composes from titles, descriptions and snippets without opening pages | Earned listicles, review platforms, pages whose first screen answers the query outright | First-screen answer engineering; presence in the roundups and review sites it retrieves |
| Google AI Overviews | Google's index plus grounding | Pages answering directly in the first lines, carrying structured data, corroborated by independent sources | Answer capsules, FAQ/Service/Organization schema, third-party corroboration of the same facts |
| Gemini | Google grounding with strong entity resolution | Consistent, machine-readable entity facts across your site and third-party profiles | Entity hygiene: consistent naming, structured data, an authoritative AI-facts page |
| Google AI Mode | Google's index, splitting one question into several related searches before composing a conversational answer | Pages that already rank in Google, plus forum and community threads — in our September 2026 Singapore probes, 89 of 219 AI Mode citations were in the same question's Google top 10, against 22 of 307 for ChatGPT | Organic strength on the follow-up questions buyers ask, plus disclosed community presence |
The pattern across all four: engines reward brands that are consistently described, independently corroborated, and directly quotable. The differences decide where each month's effort goes — and that allocation is set by your baseline data, not by a template.
Frequently Asked Questions
How much do GEO services cost in Singapore?
We have three listed monthly plans — Foundation, Authority and Dominance — at US$199, US$299 and US$499 a month. They differ in how many buyer questions you lock (4, 8 or 16), content volume and off-site scope; every plan is measured on the same four engines and re-measured monthly. You can subscribe online from the pricing page and are billed monthly. Programs beyond a plan, such as more markets or heavier off-site work, are scoped after a free 48-hour AI-visibility snapshot that shows where AI engines place you today.
How long does generative engine optimization take to show results?
Plan on roughly 90 days for the first credible before/after reading, with on-site foundations shipped inside the first 30 days and the first re-probe comparison at day 60. AI answers are volatile — independent research shows cited sources can drift 40–60% month to month — so a trustworthy trend requires repeated measurement under an identical protocol, which takes several cycles to accumulate. Some clients see earlier movement on individual queries; we report it when it happens but never project it. Any agency promising AI citations in the first fortnight is selling a screenshot, not a method.
What deliverables do we receive each month?
Four things, every month. First, the re-probe: your locked query pool re-run on ChatGPT, Gemini, Google AI Overviews and Google AI Mode under the identical protocol. Second, the citation-frequency report: how often you were cited per query per engine, as ranges compared against your baseline. Third, the evidence archive update: raw records — prompts, full responses, timestamps — for every probe, owned by you. Fourth, the work log: on-site changes shipped, off-site placements secured (each one disclosed and listed), and AI-referral attribution pulled from your own analytics. Quarterly, we add a query-universe review with your team.
How does a GEO engagement actually work, step by step?
Four stages. Measure: we lock the 4, 8 or 16 buyer questions in your tier into the contract and probe them on ChatGPT, Gemini, Google AI Overviews and Google AI Mode to establish your baseline, with every record archived. Strategy: we map your buyer roles to query clusters and set the channel mix by citation physics — industry studies indicate roughly 82% of AI citations come from earned media, so off-site authority is weighted accordingly. On-site foundation: answer capsules, structured data, an AI-facts page and llms.txt make your site quotable by machines. Off-site authority: review platforms, authoritative roundups, original research, and disclosed community participation. The monthly re-probe then closes the loop against baseline.
We already invest in SEO. Is GEO a replacement or an add-on?
Neither — it is the next layer on the same foundation. Your existing SEO assets (crawlable site, healthy indexation, quality content) are prerequisites: AI engines cannot cite what they cannot retrieve. GEO adds what classic SEO does not cover — answer-shaped content and structured data engineered for machine extraction, presence in the third-party sources AI engines actually cite, and a measurement protocol built for volatile AI answers rather than stable rankings. In practice we run both layers together, and our baseline audit covers both, so budget flows to whichever layer your data shows is the binding constraint.
How will you prove the work is actually moving AI citations?
With a protocol you can independently re-run. Your query pool is locked at the start, so we cannot swap queries to flatter results. Every query is probed under at least three phrasing rotations per engine, and every probe is archived as a raw record with prompt, full response and timestamp. The KPI is citation frequency across repeated controlled runs — reported as ranges, never a single magic number. Each month's re-probe uses the identical protocol, so before/after comparisons are like-for-like. If you doubt a number, take the archive and re-run the pool yourself — the report is designed to survive exactly that test.
Can you guarantee our brand appears in ChatGPT's answers?
No — and you should walk away from anyone who says yes. AI engines are non-deterministic: the same question can return different answers on different runs, and retrieval behaviour changes without notice. No agency controls that, so no honest agency guarantees placement. What we commit to contractually is different and enforceable: named deliverables, a fixed measurement cadence, and reporting under a locked, reproducible protocol — so you always know exactly what changed and whether the trend is moving. Peer-reviewed research shows citation-oriented optimization measurably improves AI visibility; our job is to apply it systematically and show you the evidence either way.
Which AI engines do you monitor, and how often?
We probe ChatGPT and Gemini, plus Google AI Overviews and AI Mode, as standard on every tier — engines with genuinely different retrieval and citation behaviour, which is why single-engine reports mislead. Other engines such as Perplexity are not part of standard tracking yet. The full locked pool is re-run monthly under the identical protocol for before/after comparison. We deliberately do not claim real-time monitoring: no vendor can honestly offer it, and a disciplined cadence with archived evidence is worth more than a live dashboard with none. We also treat probes as a controlled proxy for what buyers likely see — and label them as such in every report.
See Exactly Where AI Engines Place You Today
Request a free 48-hour AI-visibility snapshot. We probe a starter set of your real buyer queries on ChatGPT, Gemini, Google AI Overviews and Google AI Mode and send you the findings — including the raw records, so you can check every claim yourself. No obligation, no template report.
Or email admin@canlah.ai or call +65 8110 0234.
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