Ranklore
AI visibility in Singapore, earned.
When your customers ask ChatGPT, Perplexity or Google's AI which brand to choose, are you the answer, or is a competitor? Ranklore is a Singapore studio that makes brands citable in AI answers.
Why it matters now
A buyer may use an AI answer while comparing services. Check whether the response describes your business accurately and which sources it cites. A mention can help discovery, but it does not prove that the buyer clicked, enquired or purchased.
How a brand becomes citable
Start with verifiable business information and a clear question to investigate:
- Review search access. Check each provider's documented crawler controls. Search access and model-training permission are separate decisions. OpenAI documents that distinction.
- Keep business information accurate. Make services, contact details, area served and company identity easy for customers to verify. Use relevant markup that matches visible facts.
- Answer a real buyer question. Add evidence, experience and useful detail. Do not pad a page with statistics or force a fixed answer length.
- Earn useful references. Contribute something that customers and relevant publications can use. Do not manufacture reviews, endorsements or citations.
- Record observations. Save repeatable checks, raw answers and source links. Report missing data and method changes. See our measurement checklist.
How Ranklore works: the Receipts System
No honest studio guarantees AI citations; nobody controls what a model outputs. So Ranklore commits to proof instead of promises: a baseline measured before billing starts, monthly plain-language reports with verification prompts you can run yourself in ChatGPT, month-to-month terms with no lock-in, and a written day-90 kill criterion. You watch the progress; you don't take our word for it. In practice that means we track the exact prompts your buyers would type, such as "which accounting firm in Singapore is best for startups?", and report what appeared in those checks, with the sample and limitations visible. Read how to evaluate the evidence.
Common questions
What is AI visibility?
AI visibility describes observed mentions, citations or recommendations in generated answers. It needs an engine, prompt, date and defined sample. A technical-readiness score and a qualified enquiry measure different things.
How do I get cited in ChatGPT or Perplexity in Singapore?
Check each engine's current access guidance, make your business facts accurate, and publish useful evidence for a specific buyer question. Then inspect repeated answers and their source links. Neither access nor content formatting guarantees a citation. Read the service-buying checklist.
What's the difference between SEO, AEO and GEO?
They describe overlapping work on search discovery and answers. Ranklore treats the customer question, page quality and measurement as one programme. The label does not establish a separate ranking system or a guaranteed outcome.
Does schema markup help with AI search?
Use relevant structured data that matches the page. Do not treat markup as proof that an AI engine will cite it. Google does not require special AI schema; check its current guidance for Google-specific rules.
Do reviews affect whether AI recommends my business?
Genuine reviews help customers evaluate a business. Whether a specific engine uses a particular review source must be investigated, not assumed. We do not assign a universal AI ranking weight to review counts or ratings.
Do you guarantee results?
No honest agency does; AI citations are earned, not guaranteed. Ranklore commits to the Receipts System instead: baseline before billing, monthly reports with prompts you can verify yourself, month-to-month with no lock-in, and a written day-90 kill criterion.
How long does it take?
There is no fixed citation timetable. Agree on delivery dates for the work and a separate observation period for results. Indexing, competition, engine behaviour and sample size affect what can be concluded.
See where you stand in AI answers
Agree on a baseline and inspect the evidence behind the next proposed improvement.
Start with a baseline →