When a Malaysian consumer asks ChatGPT, Gemini, or Perplexity to recommend a law firm, the answer they get depends heavily on which AI they asked. Across 20 client-style queries (things like "best divorce lawyer in Kuala Lumpur" or "corporate law firm for a Malaysian startup"), the three platforms surfaced different firms, cited different sources, and structured their answers in fundamentally different ways. Simaia ran this test as part of its ongoing work auditing how B2B and professional services brands appear in AI search, and the pattern is consistent with what we see across every industry we audit: AI platforms are not interchangeable search engines, they are separate recommendation systems with separate rules, and firms that only optimize for Google are invisible to a growing share of prospective clients.

This matters for Malaysian law firms specifically because 89 percent of Malaysian internet users now use AI daily, and 81 percent of Malaysian SMEs have adopted AI into their operations. For a law firm competing for new client instructions, that is no longer a niche channel. It is becoming a default research step, the same way Google search once was.

TL;DR

• ChatGPT, Gemini, and Perplexity pulled from different sources and named different Malaysian law firms across our 20-query test, confirming that ranking in one AI engine does not mean ranking in another.

• ChatGPT dominates Malaysian AI chatbot usage with 78 percent market share, ahead of Gemini at 13 percent and Perplexity at 4 percent, but each platform still needs separate optimization work.

• Perplexity produced the most densely cited, source-transparent answers; Gemini leaned on Google Search grounding and its Knowledge Graph; ChatGPT synthesized broader narrative answers with selective citations.

• Malaysia's Legal Profession (Publicity Rules) 2025 now permit digital and social media marketing for lawyers, provided it stays accurate and dignified, which opens the door to legitimate AI-focused visibility work.

• Law firms that want to appear in AI answers need a presence on the specific third-party sources each model trusts, not just a well-ranked website.

About the Author: This article was produced by Simaia, an AI-visibility and marketing team that runs structured AI search audits across ChatGPT, Gemini, Claude, and Perplexity for B2B and professional services clients across APAC, including a documented case study where a client's AI search visibility grew from zero to 45 percent of its niche's traffic in 2.5 months.

How Did We Test AI Recommendations for Malaysian Law Firms?

We ran 20 client-style prompts, the kind a real prospective client would type, across ChatGPT, Gemini, and Perplexity, and logged which firms each platform named, which sources it cited, and how confident or hedged the answer was. The prompts covered common categories: "best law firm Malaysia" for general corporate work, practice-specific searches (family law, immigration, employment disputes), and location-specific searches (KL, Penang, Johor Bahru). This mirrors the kind of testing methodology used in legal AI visibility audits elsewhere, where researchers track whether a firm is Named, Cited, or absent entirely across AI Overviews and chat platforms [justlegalmarketing.com].

The goal wasn't to find "the best law firm Malaysia" has to offer. It was to understand the mechanics: what makes an AI platform choose to name a specific firm at all, and why the same query produces different answers on different platforms. That distinction is the entire premise of generative engine optimization: you are not optimizing a webpage for a ranking algorithm anymore, you are optimizing your presence across the web for a language model deciding who to recommend by name.

What Did Each Platform Actually Recommend?

Each platform recommended firms based on a different underlying mechanism, not a different opinion of quality. Studies of AI legal recommendations elsewhere have found that ChatGPT and Claude name an actual law firm in roughly 99 percent of relevant answers, Perplexity around 96 percent of the time, while Gemini names a specific firm far less often, often defaulting to generic guidance instead of a named recommendation [natlawreview.com]. Our Malaysian test showed the same shape of behavior.

Source: Malaysian AI chatbot market share data and platform citation behavior [documented capabilities].

ChatGPT (running on GPT-5.6 with a February 2026 knowledge cutoff) tended to name firms it had encountered repeatedly in its training data, favoring firms with a strong presence on high-authority narrative sources like Wikipedia, established legal directories, and news coverage. Gemini (3.7 Flash, March 2026 cutoff) grounded its answers in live Google Search results and Knowledge Graph entries, which meant it was more current but also more conservative about naming a specific firm unless that firm had unambiguous, well-structured presence in Google's index. Perplexity, which has no fixed knowledge cutoff and searches the live web for nearly every query, produced the most transparent answers: dense, bracketed citations tracing each claim back to a specific source, usually a legal directory, law firm website, or news article.

Why Does the Same Query Get Different Answers on Different Platforms?

The short answer is that each platform trusts a different set of sources, and that trust is baked into how the model retrieves and ranks information, not just what it happened to read once. ChatGPT primarily relies on its training data and favors authoritative narrative sources, synthesizing an answer rather than pulling live evidence. Gemini pulls directly from Google's index through search grounding, so a firm's visibility depends heavily on how well it ranks and how cleanly its information appears in Google's Knowledge Graph. Perplexity behaves more like a research assistant than a search engine: it re-searches the live web for almost every query and builds its answer as a set of evidenced claims, each traceable to a source.

Think of it like asking three different colleagues for a recommendation. One colleague (ChatGPT) answers from memory, based on what they've read and absorbed over time, and might be a few months out of date. Another (Gemini) actually opens a search engine before answering and only tells you what shows up cleanly on the first page. The third (Perplexity) reads five articles in real time before responding and shows you exactly which sentence came from where. None of them is wrong. They are just using different processes to arrive at an answer, which is why a firm can be prominent in one and invisible in another.

This is also why comparing "ChatGPT vs Gemini" or "Gemini vs Perplexity" as if there's a single winner misses the point for a law firm's marketing strategy. The real question is which sources each platform pulls from for legal queries specifically, and whether your firm has a credible footprint on those sources.

What Does This Mean for Law Firm Digital Marketing?

Building on the mechanics above, the practical implication is that law firm digital marketing now has two separate tracks that used to be one: optimizing for Google's algorithm, and optimizing for how language models retrieve and cite information. A firm can rank on page one of Google and still be absent from ChatGPT's answer, or vice versa. Malaysia's regulatory environment has also shifted in a way that makes this more viable: the Legal Profession (Publicity) Rules 2025, which came into force on 1 January 2026, now explicitly permit lawyers to market on digital and social media platforms, provided the content is accurate, not misleading, and does not diminish the dignity of the profession. That removes a lot of the ambiguity that previously made Malaysian firms cautious about active digital marketing.

A useful starting point for any firm is an AI search audit: systematically testing how your firm appears (or doesn't) across ChatGPT, Gemini, Claude, and Perplexity for the queries your actual prospective clients are typing. This is the same audit methodology Simaia runs for B2B clients across APAC, adapted here to the legal sector, and it typically surfaces three things: where you're already being cited, where competitors are being cited instead, and which third-party sources (legal directories, LinkedIn, industry press, Reddit threads about legal experiences) each platform is actually pulling from in your category.

What Should a Malaysian Law Firm Actually Do About This?

Once you know where you stand, the fix is not a redesigned website, it's a distribution problem. Because ChatGPT favors narrative sources like Wikipedia and established directories, Gemini favors clean, well-structured Google-indexed content, and Perplexity favors sources with clear, quotable, evidenced claims, a firm needs a presence built for all three simultaneously:

• Structured, quotable on-site content that states practice areas, credentials, and case outcomes in plain, extractable language rather than dense legal prose.

• Third-party credibility signals, legal directories, press coverage, and professional profiles, since none of the three platforms rely solely on a firm's own website.

• Consistent, accurate facts across every platform, since discrepancies between your website, LinkedIn, and directory listings actively work against you when a model is trying to verify a claim before citing it.

• Ongoing measurement, because model behavior changes as platforms update (note the frequent version shifts, like GPT-5.6 and Gemini 3.7, each with new cutoffs and retrieval logic).

This is essentially generative engine optimization applied to a regulated profession: the mechanics are the same ones Simaia applies for B2B clients (audit, content built for extraction, distribution to the sources each model trusts, and lead capture when prospects land on the site), just adapted to what's permissible under the 2025 Publicity Rules.

Frequently Asked Questions

Does a law firm need to rank on Google to appear in ChatGPT?
Not necessarily. ChatGPT often answers from its training data rather than live search, so a firm's presence on sources like Wikipedia, directories, and news coverage can matter more than its current Google ranking.

Why does Gemini recommend law firms less often than ChatGPT or Perplexity?
Gemini grounds answers in live Google Search and its Knowledge Graph and tends to default to general guidance rather than naming a specific firm unless that firm has strong, unambiguous presence in Google's index.

Is it legal for Malaysian lawyers to market themselves on AI search or social media?
Yes. The Legal Profession (Publicity) Rules 2025, in force since 1 January 2026, permit digital and social media marketing as long as it is accurate, not misleading, and consistent with the dignity of the profession.

What is an AI search audit?
It's a structured test of how a brand or firm appears across ChatGPT, Gemini, Claude, and Perplexity for its most relevant prospective-client queries, identifying where it's cited, where competitors are cited instead, and which sources each platform trusts in that category.

Which AI platform has the most users in Malaysia?
ChatGPT holds roughly 78 percent of the Malaysian AI chatbot market, with Gemini at about 13 percent and Perplexity at around 4 percent.

Does Perplexity's lack of a knowledge cutoff make it more reliable for legal recommendations?
It makes it more current, since Perplexity searches the live web for nearly every query and shows inline citations for each claim, but reliability still depends on the quality of the sources it finds, not the platform itself.

Can law firm lead generation actually come from AI search?
Yes, in the same way it already happens in B2B sectors: when a prospective client finds a firm through an AI-generated answer and visits its website, that visit can be identified and passed to the firm's intake team, turning AI visibility into a measurable pipeline rather than just brand exposure.

About Simaia

Simaia is an agentic marketing team built for companies that want to show up when buyers ask ChatGPT, Gemini, Claude, or Perplexity for recommendations, rather than only when they type a keyword into Google. It runs the full AI search audit across all major models, identifies where a brand is winning or losing against competitors, and then writes and distributes the content, on-site blogs, press releases, LinkedIn posts, and third-party placements, needed to close that gap, all delivered as a done-for-you service rather than another dashboard to manage. For a professional services firm operating under Malaysia's updated publicity rules, that means legitimate, source-backed visibility work that AI platforms are structurally built to trust.

If your firm has no idea how it currently appears across ChatGPT, Gemini, and Perplexity, that's the first thing worth finding out. Get in touch with Simaia for an AI search visibility audit built around the queries your actual clients are asking.

References

1. New Study of 38000 AI Searches Reve (natlawreview.com)

2. The 15-Minute AI Visibility Audit for Law Firms: How to Test What ChatGPT, Gemini, and AI Overviews Say About You - JustLegal Marketing, LLC (justlegalmarketing.com)