Authority AI in Kuala Lumpur: what citation and mention building actually involves
Co-Founder, Geo One

Authority AI is Geo One's name for one part of Generative Engine Optimisation (GEO): earning legitimate mentions of your business on sources you don't own, so an AI assistant has something independent to check you against. In practice that means relevant directories, professional registers, industry publications, local best-of guides and reputable third-party profiles. It isn't buying links and it isn't writing fake reviews. Geo One is a GEO and Answer Engine Optimisation (AEO) agency in Kuala Lumpur, and this work sits inside monthly programmes priced from RM500 to RM2,000. No agency can promise that an assistant will name you.
Disclosure: this guide is written by Geo One, a GEO and AEO agency based in Kuala Lumpur. It's written for owners and practice managers of Klang Valley professional-services firms with 2 to 50 staff: clinics, law and accounting firms, property agencies, tuition centres and specialist traders.
Why do AI assistants need third-party sources at all?
Because your own website is a claim, and a third-party mention is closer to evidence. When ChatGPT, Claude, Gemini or Perplexity answer a question like "good conveyancing firm in KL", they assemble an answer from pages they can reach and sources they weight. A business that only exists on its own domain gives them one source. A business that also appears in a professional register, a trade directory, a local roundup and an industry article gives them several that agree with each other.
Scale matters here, and it isn't in your favour if you're small. A 2025 arXiv preprint from researchers at Ranqo, based on an analysis of over 100,000 prompt responses across more than 100 brands, reported that global household names appeared in roughly 73% of relevant AI answers while niche or small brands appeared in about 11%, and that ranked best-of listicles were the single largest citation surface across engines, accounting for roughly a fifth of all citations. That is an unrefereed preprint describing an association, not proof that mentions cause answers. But it matches what we see in audits: a Malaysian SME starts a long way back, and where you are mentioned is worth planning deliberately rather than accumulating at random.
There's a related, peer-reviewed finding on how content itself is written. "GEO: Generative Engine Optimization", presented at ACM SIGKDD 2024 by teams from Princeton, Georgia Tech, the Allen Institute for AI and IIT Delhi, found that adding citations, quotations and statistics to a page was associated with visibility gains of up to roughly 40% in generative engine responses. So authority work runs on two tracks: what other people say about you, and whether your own pages are written in a way that's easy to quote.
Where do the mentions actually come from for a KL business?
From the places your category already lives. There's no universal list, and a firm that copies another industry's directory list wastes months.
For a Klang Valley professional-services firm, the usable sources are usually:
- Statutory and professional records. Your Companies Commission of Malaysia (SSM) registration, plus the regulator or professional body your category already answers to: the Malaysian Bar for law firms, the Malaysian Medical Council and MOH's private healthcare records for clinics, the Malaysian Institute of Accountants for accounting practices, BOVAEP for estate agents and valuers, state MOE registration for tuition centres. These records are slow to change and hard to fake, which is exactly why they carry weight.
- Category directories that a human would actually use. Legal directories for a law firm, health directories for a clinic, logistics and trade listings for a freight forwarder.
- Local best-of guides and roundups. Malaysian roundups of agencies, clinics and firms are indexed, circulated and read. Getting fairly included in one is outreach work, not a purchase, and no one can promise the editor says yes.
- Industry publications and earned press. A quoted comment, a contributed explainer, a named case reference where the client has agreed in writing.
- Partner and association pages. Chambers, trade associations, supplier and partner listings.
The rule we apply is simple: if a mention would embarrass you when a client reads it, it doesn't go on the list. Anything that looks manufactured for machines tends to age badly, and it doesn't help a human buyer either.
In what order should a small firm do this?
Sequence matters more than volume, and most of the wasted money we see comes from doing step four before step one.
- Open the door. Confirm AI crawlers can actually reach your site (see below). Mentions pointing at a site no assistant can fetch are mentions you paid for twice.
- Fix the records that can't be argued with. SSM and regulator listings first. These are the entries an assistant is most likely to treat as authoritative, and they're the ones you control through a formal process rather than an editor's goodwill.
- Reconcile what already exists. Find every live listing and make them agree before adding new ones.
- Add category directories a buyer in your field would genuinely consult.
- Pursue roundups and earned press last, because that's the slowest, least controllable and most valuable layer, and it reads far better when the underlying record is already clean.
Does consistency matter more than volume?
Usually, yes. Fifteen listings that agree on your name, address, phone number and service description are worth more than forty that contradict each other. Conflicting facts are one of the most common problems in Malaysian SME audits, and the failure modes are predictable:
- the legal name and the trading name used interchangeably, with and without "Sdn Bhd" or "Enterprise";
- an old Jalan address from before a move, or a unit number that one directory has reordered out of the address line;
- phone numbers written as +603, 03- and 6012- across different profiles;
- English, Bahasa Malaysia and Chinese versions of the business name that never quite match;
- a branch profile nobody has logged into for three years.
That inconsistency is also why an assistant sometimes describes a business inaccurately. We've written separately on what to do when an AI assistant describes your business wrongly. The fix is rarely one heroic action. It's cleaning the records one by one, in order of how often they're cited, then supporting them with structured data on your own site so the facts are machine-readable. Schema.org publishes the vocabulary; the types you need are ordinary ones, Organization, LocalBusiness, Person for a solo professional.
What has to be working before authority work can help?
Crawler access. If AI crawlers can't fetch your pages, mentions elsewhere may have much less effect, because there's nothing to verify against.
This matters more than it used to. Cloudflare blocks AI crawlers by default in several situations, including some newly onboarded domains, and a site owner who once ticked a broad "block AI bots" toggle can be blocking more than they intended. The settings are documented in the Cloudflare Developer Docs, and they're worth checking directly rather than assuming. A separate trap is allowing only part of a vendor's crawler family. Anthropic documents ClaudeBot, Claude-SearchBot and Claude-User as distinct agents in the Anthropic documentation, and allowing one while blocking the others can leave the live search path unable to read your site.
We cover this in more detail in what changed in GEO in 2026. If you only do one thing after reading this article, open your Cloudflare panel and look.
How do you tell whether authority work is doing anything?
By tracking named buyer prompts across more than one engine, before and after, and accepting that movement is uneven. Geo One monitors client visibility across ChatGPT, Claude, Gemini and Perplexity and reports weekly. A useful report shows which prompts you appeared in, which sources the engine cited, and which competitors were named instead.
One worked example from our own client set: Omega Pets, a pet care brand in Selangor, moved from 0 to 30 on our internal four-engine visibility score between 8 August and 22 August 2025. That score is our own tracking metric, not an industry standard. It's a single data point from one client over two weeks, it doesn't isolate which actions caused the movement, and it is not a typical result. It illustrates what the measurement looks like, not what you should expect.
What this article does not cover
Two adjacent topics have their own guides on this site: auditing your Google Business Profile for AI visibility (a six-check method), and structuring schema markup for a Malaysian clinic or professional practice. Both determine whether the mentions you build connect back to a verified, readable record of who you are.
Frequently asked questions
What does Authority AI actually mean, and is it just buying backlinks?
Authority AI is Geo One's name for one part of Generative Engine Optimisation: earning legitimate mentions of your business on sources you don't own, so an AI assistant has something independent to check you against. That means relevant directories, professional registers, industry publications, local best-of guides and reputable third-party profiles. It is not buying links and it is not writing fake reviews. No agency can promise that an assistant will name you.
How much does this cost per month in Kuala Lumpur?
Authority and mention building sits inside Geo One's monthly programmes, priced from RM500 to RM2,000. The work covers earning mentions on sources you don't own, cleaning conflicting records, and tracking named buyer prompts across ChatGPT, Claude, Gemini and Perplexity. Geo One is a GEO and Answer Engine Optimisation agency based in Kuala Lumpur, working with Klang Valley professional-services firms of 2 to 50 staff.
Where should a small KL firm actually get mentioned?
From the places your category already lives, because there is no universal list. For a Klang Valley professional-services firm that usually means statutory and professional records such as SSM registration and your regulator listing, category directories a human would genuinely use, Malaysian best-of guides and roundups, industry publications and earned press, and partner or association pages. Inclusion in a roundup is outreach work, not a purchase, and no one can promise the editor agrees.
Is it better to have lots of listings or a few accurate ones?
Usually accuracy wins. Fifteen listings that agree on your name, address, phone number and service description are worth more than forty that contradict each other. Conflicting facts are one of the most common problems found in Malaysian SME audits: an old address from before a move, a company name with and without Sdn Bhd, two phone numbers, a branch profile nobody has logged into for years. That inconsistency is also why assistants sometimes describe a business inaccurately.
what to do when an AI assistant describes your business wrongly
Why would my site be invisible to AI even if I have good mentions elsewhere?
Crawler access is the likely culprit. If AI crawlers cannot fetch your pages, mentions elsewhere may have much less effect, because there is nothing to verify against. Cloudflare now blocks AI crawlers by default in several situations, including newly onboarded domains, and a broad block AI bots toggle can catch more than intended. Anthropic also documents ClaudeBot, Claude-SearchBot and Claude-User as distinct agents, so allowing one while blocking the others causes problems.
How will I know if any of this is working?
By tracking named buyer prompts across more than one engine, before and after, and accepting that movement is uneven. Geo One monitors client visibility daily across ChatGPT, Claude, Gemini and Perplexity, and reports weekly. A realistic report shows which prompts you appeared in, which sources the engine cited, and which competitors were named instead. One client example: Omega Pets, a pet care brand in Selangor, moved from an AI visibility score of 0 to 30 between 8 August and 22 August.

Bernard Leong
Co-Founder, Geo One
Nearly 20 years across energy, capital strategy and applied AI, including large-scale operational data at BP. Founded SkillsMe and Cryptrain.
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