Singapore · interior design firms
Your next client didn’t Google you. They asked AI who to hire, and it named specific firms. Mitra measures whether it names you. Then our team does the work until it does, and the enquiries follow.
See where AI does and doesn't name your firm, all 240 answers counted, before you spend a dollar. Report inside two working days.
ChatGPT doesn’t read directory cards. It pulls sentences from pages it trusts and hands the buyer a short answer with a few names in it. Your firm can have a four-star profile and page one of Google and still never appear in that answer. Usually the reason is plain: no page anywhere says the sentence the AI would want to quote about you.
The buyer asks, the AI answers, and your name wasn’t in the passage it quoted.
Most firms have no idea which side of that answer they're on. Nothing tells you. Enquiries just go to whoever the engines already quote, and the reno jobs follow the enquiries.
What the buyer never sees
Your firm · ★★★★☆ · 87 reviews
Renovation packages from $28,800 · Enquire now
a directory card. ranked, listed, skipped.
What the buyer reads instead
For older flats that need hacking, Firm E gets mentioned for structural experience, and Firm A for managing HDB permits well. Get the permit scope in writing first.
not illustrative · run 2 July 2026 · Mitra engine · 22 runs
One buyer question, asked 22 times: “who's the best interior designer in singapore?”. The answers named 121 different firms. Four sat at the top of almost every list. 105 were named once and never again. Every other firm in Singapore, likely including yours, never came up at all.
You can check this tonight. Open ChatGPT, ask it the same question, and count how long it takes to reach your name. The audit does that counting properly, and puts your firm in the table below.
Top Singapore Interior Designers: 1. ████████████ — Commercial + hospitality focus. Strong portfolio in F&B, hotels, mixed-use. Clean, functional aesthetic. 2. ███████████ — Residential specialists. High-end homes, luxury apartments. Scandinavian-influenced, light materials, custom layouts. 3. ███████████████ — Boutique studio. Residential + small commercial. Warm palettes, personalized spaces. Good for HDB/condo work. 4. ████████████ — Residential + retail. Contemporary style. Popular for younger demographic, trending aesthetics. 5. ████████████████ — Full-service architecture + interiors. Commercial, hospitality, large-scale projects. More technical/structural approach. 6. ██████████ — Mid-market residential. Functional layouts, modern Asian influences. Good value for quality. 7. ███████████ — High-end residential. Luxury apartments, landed properties. Bold color + material choices. ███████████████ - Budget range? (Budget ≠ luxury ≠ ultra-luxury changes recommendations) - Space type? (HDB vs condo vs landed house vs commercial) - Style preference? (Modern, minimalist, maximalist, traditional, eclectic) - Project scope? (Full reno, refresh, single room) Want me to research current reviews/pricing or portfolio links for any of these?
names redacted. Your own audit arrives unredacted.
The instrument
Most ‘AI visibility’ pitches run on a vibe. Mitra takes the exact questions your buyers ask AI, runs each one hundreds of times, and writes down every answer.
It counts how often a firm gets named, notes which sources the answer leaned on, and prints your citation share with the margin of error beside it. You see every run, and you can rerun any of it yourself and get the same result.
It runs again every month, so the number is never stale. Counting is all the instrument does, and it does it the same way every time. Making the number move is our team’s job, and every fix we do sits on top of this count.
The count is automated. The work is ours.
How the number is made
01 · one buyer question
“who’s the best interior designer in singapore?”
asked across
02 · every answer, named or not
240 logged · one cell = one run · ink = named
03 · your number, ± its error
19%
re-run every month, the same way
Why Mitra
Not a report you buy once and file. Mitra is the part of your marketing that works where buyers now ask, in terms you can hold us to.
01
Every number we quote is measured hundreds of times and printed with its margin of error. You see every run. One lucky screenshot proves nothing, so we never sell you one.
02
Your first invoice goes out only after the shared scoreboard shows AI naming your firm on questions you approved. Miss the day-90 floor and the fees you paid in the window come back, up to three months of fees. Clause 90.1 of the engagement agreement, checked on the same protocol as your baseline: same questions, same engines, same counting rules. A term, not a slogan.
03
No bought links, no planted reviews, no tricks that get a domain flagged. Real content, real sources, citations you can click and check yourself. If an agency torched your rankings before, this is the opposite of how they worked.
04
The part you pay for is our team's work: pages an engine can quote, structured data, directory and source citations, all built by us and all auditable. You can click any citation we claim and check it yourself.
05
Buyers didn't leave Google. Google put an AI answer at the top of the results, and ChatGPT, Perplexity and Copilot answer the same way. The first firms a buyer reads are the ones the AI names. Someone at your firm has to own being one of them. That's us: measured monthly, fixed continuously, reported with receipts.
Both go into the engagement agreement as numbered clauses before we raise an invoice.
0
paid until citedclause 1.1
Day one you're at zero, so day one you pay zero. Your first invoice goes out only after the shared scoreboard shows AI naming your firm on buyer questions you approved, and any full month your name shows up zero times is a month we don't bill, and it is never carried over as debt you owe later. After that you're month to month: cancel anytime with a one-line email, no lock-in, no long contracts.
90
daysclause 90.1
The floor sits in the agreement in plain English: across the questions you approved, the AI names your firm in at least 1 of every 10 answers, measured as the aggregate across all scheduled runs on the engines we run for you. Read below it at day 90 and we refund every fee you paid in the window within 7 days, up to three months of fees. The cap is printed where the promise is, not in a footnote, and the same protocol, questions and counting rules as your baseline decide the number. You will see the runs.
Who gets the guarantee · only firms the audit says we can win for. A firm starting from zero baseline gets the free audit and a foundation plan first, never a guarantee we can’t stand behind.
What you get
The instrument counts. Our team does the work you pay for. Each deliverable names which side produced it.
You keep the file whether or not you hire us.
inside every monthly report
You see the number move, and you know exactly what we did to move it.
You approve what goes live, and can click any citation to check it is real.
You pay only for the months AI names you.
1
Your buyers' questions, worded the way a homeowner actually types them, run automatically on ChatGPT, Perplexity and Gemini. The counting runs itself until the numbers settle. No opinion in it.
baseline report · week 1
2
We count every firm named and every source the engine pulled from. Some of it is scripted, some is done by hand. The gap list comes out of this step.
gap list · week 1–2
3
Pages a model can quote cleanly, plus structured data. Then the third-party sites the engines pull from for reno queries in your city. Mostly directories, and a couple of comparison sites.
the work · weeks 2–8
4
The models drift, so we re-run the same questions with nothing changed about the method. When your number moves, it's real movement. You can hold us to it.
movement report · every 30 days
The Count
One illustrative month of buyer questions, run across three engines. We logged every answer and counted which firms it named. The full ledger is printed below.
runs counted 000 / 240
In an illustrative sample of 240 AI answers, competitor A was cited 86 times, competitor B 60 times, other firms 51 times, and no firm 43 times. The firm we measured was cited zero times.
0/240
Free. We run real buyer questions and count who gets named.
The Ledger
one illustrative month · illustrative example, not client data
| Asked | Rate | ||
|---|---|---|---|
| Competitor A | 240 | 86 | 36% |
| Competitor B | 240 | 60 | 25% |
| Five smaller firms (grouped) | 240 | 51 | 21% |
| No firm named | 240 | 43 | 18% |
| the firm we measured | 240 | 0 | 0% |
illustrative example: this table shows the method's output format, not client data
The choice
Do nothing
A typical agency
Mitra
A worked example
Follow one example firm through a full year, from invisible in AI answers to named in about one of five, with two reno jobs won along the way.
Before you spend a dollar, get your baseline. We run your buyers’ questions and send you the tally, good or bad. If it turns out you’re already cited where it matters, the audit will say that too.
Replies come from hello@mitra.build, usually inside two working days.
Every audit comes with an optional walkthrough: book the audit walkthrough and we read the tally with you. Where you stand, who gets named instead, and the first gap worth closing. The count and the diagnosis stay free either way. The fixing is the paid work our team does.
Prefer to chat? WhatsApp us
Notice · the audit, itemised
the same deliverable paying clients start with
audit free · Citation Sprint S$1,200/mo · full terms on Pricing
AEO is the work of getting a business cited inside AI answers: on ChatGPT, in Google's AI Overviews, on Perplexity and Copilot. Where SEO tries to rank your site on a page of links, AEO is about the short list of firms the AI names when a buyer asks who to hire.
SEO gets you a spot on a results page the buyer still has to read through. AEO gets you named inside the answer itself. The work is different because engines build answers from passages they trust: your pages need to be written so a machine can lift the answer out, and you need to show up in the third-party sources the engines quote.
Mitra samples 240 AI answers per audit. We take your buyers' real questions, phrased the way a homeowner actually types them, and run them again and again on live AI answer engines under a fixed protocol. Every firm named and every source quoted gets recorded, and the report states exactly which engines the runs used, so the before and the after are always measured on the same yardstick. Then we report your citation share with a margin of error, which tells you more than a screenshot of one lucky run.
Because AI answers change between runs. The same question can name different firms on Tuesday and Thursday, so one screenshot proves nothing in either direction. 240 runs gives you a rate with a margin of error. That's a number you can act on.
The guarantee window is 90 days, and your money follows the proof. Your first invoice goes out only after the shared scoreboard shows AI naming your firm on buyer questions you approved. If day 90 arrives and the scoreboard reads below the agreed floor, we refund every fee you paid in the window within 7 days, up to three months of fees. AI engines refresh their sources at different speeds, so we re-measure monthly on the same protocol and you see the movement run by run.
No, and that's deliberate. The free audit doubles as the screen: we offer the hard guarantee only where your baseline numbers say the gap is closable within 90 days. A firm starting from zero, where the sources AI reads don't mention it anywhere, usually needs a foundation phase first: normal month-to-month work, cancel anytime, no hard guarantee until the baseline can support one. If your market isn't winnable right now, the audit says so, you keep it, and we don't take your money. The guarantee stays rare so it stays real.
The free audit is one-off, and you keep it either way. Paid work is ongoing: we measure, do the work, and re-measure every month, the way the rest of your marketing runs. Think of Mitra as the part of your marketing team that owns AI answers. Whether your buyers ask ChatGPT or type their reno questions into Google and read the AI answer at the top of the results, the first list of firms they see is written by an AI. Someone at your firm has to own showing up in it, and that someone is us.
The audit tells you where you stand today: which engines mention your firm, which competitors get cited instead, which sources those citations come from, and what we'd fix first. It's a written report, and it's yours to keep. It also comes with an optional walkthrough call where we read the tally with you and point at the first gap worth closing.
Often nothing is wrong with the firm at all. The usual problem is that you're missing from the two or three sources the engines lean on for your city (a comparison page here, a directory there), and your own site doesn't answer any question in its first two sentences, so the machine has nothing to quote. Fixing that is unglamorous work, but most months it's what moves the number.
No. We don't build AI models. Mitra reads what AI answer engines say about firms like yours (measurement runs on Perplexity today, with more engines on the roadmap, and every report states exactly which engines the runs used) and fixes the sources those products read. The measuring is automated and unbiased. The judgment and the work that moves your number, deciding which sources to earn and building the pages that get quoted, are our team's. The point is that when a buyer asks, your firm shows up in the answer.
Because nothing here asks for your trust. Your baseline is measured before you pay anything, and your first invoice goes out only after the scoreboard shows AI naming your firm on questions you approved. The work is white-hat only, and every citation we claim is one you can click and check yourself. If day 90 reads below the agreed floor, we refund the fees you paid in the window within 7 days, up to three months of fees, and the cap sits in the agreement, not a footnote. Agencies that burn clients depend on you not being able to verify what they did. Our whole model depends on you verifying it.
No. We don't buy links, plant reviews, or use tricks that get a site flagged. Everything we do is work the engines already reward: real content on your pages, real listings in the sources they trust, and citations you can click and check yourself. The firms that get burned took shortcuts. We build visibility that holds up, and you can audit every piece of it. Your domain is never the thing we gamble with.
That is exactly what the audit answers, with a number instead of an opinion. Buyers haven't stopped using Google. Google now puts an AI-written answer at the top of the results, and most people read it and stop before the links. ChatGPT, Perplexity and Copilot work the same way. If the AI answer doesn't name your firm, you're invisible even to a buyer who still Googles. We measure how often those answers name your firm today, so you decide from your own data, not a sales pitch. If the answer is you're already fine, we'll tell you that too.
Enquiries from buyers who asked an AI who to hire. A typical Singapore renovation runs S$30,000 to S$80,000, and the Citation Sprint is S$1,200 a month, so one job that arrives through an AI answer covers the engagement several times over. To be exact about what we promise: we guarantee citations, measured on a fixed protocol, not jobs. But that arithmetic is why firms bother.
Because every claim we make is a number you can check. We measure the same way before and after, on the same questions, the same engines and the same counting rules, and you see every run. On paid work your first invoice waits for your first citation, any full month the scoreboard shows your name zero times is a month we don't bill, and if day 90 reads below the agreed floor, the fees you paid in the window come back, up to three months of fees. We would rather show you the receipts than tell you a story.