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LLM Optimisation · ChatGPT · Claude · Perplexity

Get Your Brand
Recommended
By AI Assistants

Ask ChatGPT for the best accountant in Sydney, or a good local builder, or which software to pick. It won’t show you ten links. It’ll name a few brands and move on. Those few names get the lead. Everyone else doesn’t exist in that moment.

LLM optimisation is how your business becomes one of the names. We build the signals that lead ChatGPT, Claude, Perplexity and Gemini to recommend your brand when a buyer asks for an answer. Not a ranking. Not a snippet. A recommendation.

4 Assistants
ChatGPT · Claude · Perplexity · Gemini
Recommended
Not just ranked
Sydney-based
Servicing all of Australia
1300 189 687
ausasiaonline.com.au
ChatGPT
Claude
Perplexity
AI assistant recommending brands to a buyer asking for an answer
LLM Optimisation Explained

What is LLM optimisation?

LLM optimisation is the practice of getting your brand mentioned and recommended inside AI assistants like ChatGPT, Claude and Perplexity. It builds the content, authority and entity signals that lead a model to name your business when someone asks it for a recommendation.

Search SEO gets you found on a results page. LLM optimisation gets you named in a conversation. The assistant has already done the filtering. By the time it answers, it’s picked a handful of brands to mention, and you’re either in that set or you’re not.

LLM optimisation widens your chances of being in it. It’s a core part of our AI SEO services, focused on the assistants people talk to directly.

The recommendation, not the ranking

Old-school SEO wins a position on a results page. LLM optimisation wins a spot inside the assistant’s shortlist. It’s a smaller set of names, but it’s the set buyers actually act on.

We work the signals that decide whether your brand is in that shortlist, or whether the assistant recommends someone else.

How LLMs Decide

How LLMs decide which brands to recommend

AI assistants name brands based on what they’ve learned and what they can find. Two things drive it: the signals baked into a model’s training, and the information it pulls in real time from the web. Strong, consistent presence across both makes your brand far more likely to be recommended.

01

Consistent presence

Does this brand come up often and consistently across trusted sources? Models lean on signals that repeat. The more often your name appears in credible places, the more comfortable an assistant gets recommending you.

02

Clear, factual content

Is there clear, factual content that explains what you do? Models need something concrete to draw on. Plain, verifiable writing about your services, location and customers gives them safe ground to stand on.

03

Credible third-party backing

Do other trusted sites and reviews back you up? Assistants treat third-party mentions as social proof. Strong reviews, directory listings and editorial mentions all push your brand into the “safe to recommend” column.

Answer all three well and you become an easy, safe brand for the model to name. That’s the work. Build the signals, earn the mentions, make your brand the obvious recommendation.

LLM Optimisation vs Traditional SEO

Traditional SEO earns a ranking. LLM optimisation earns a recommendation.

With SEO, you win when your page sits high in Google and people click. With LLM optimisation, you win when an AI assistant names your brand in its answer, often before the user ever visits a search engine.

Traditional SEO

The classic playbook
  • GoalRank in Google’s results
  • Where you show upGoogle and Bing results pages
  • What matters mostKeywords, backlinks, site health
  • Win conditionA high ranking and a click
  • How you measure itRankings and organic traffic

LLM Optimisation

The recommendation playbook
  • GoalGet named inside AI assistants
  • Where you show upChatGPT, Claude, Perplexity, Gemini
  • What matters mostBrand signals, authority, third-party mentions
  • Win conditionAn assistant recommends your brand
  • How you measure itBrand mentions across AI assistants

You need both. SEO builds the public footprint LLMs learn from. LLM optimisation makes sure that footprint turns into recommendations.

What Goes Into It

The four areas of LLM optimisation

LLM optimisation is a set of changes that make your brand a safe, obvious pick for an AI assistant. The work falls into four areas, run together as one programme.

01

Brand entity signals

We make your business name, services and location clear and consistent everywhere a model might learn about you, so the assistant has no doubt who you are or what you do.

02

Trustworthy, factual content

We publish content that explains what you do in plain, verifiable terms, the kind of writing models lean on when they need a safe answer to give back.

03

Third-party mentions and reviews

We build presence on the sites and review platforms assistants treat as credible. The more reputable places your name appears, the more confident the model is to recommend you.

04

Real-time retrieval readiness

Assistants that search the live web need to find a clear answer about your brand fast. We make sure your site, listings and structured data are ready for that retrieval.

You get a brand footprint that reads clearly to both people and models. The result: more recommendations, more often.

Why It Matters

Buyers are asking assistants, not just search engines

61% of consumers have used a generative AI tool like ChatGPT to help them shop, and most who do treat it as their main research tool (Semrush, 2025). At the same time, Google AI Overviews now appear on around one in five searches (Ahrefs, 2025 analysis of 146 million keywords). More answers, fewer clicks, more weight on which brands get named.

61%
Of consumers have used a generative AI tool like ChatGPT to shop
Semrush, 2025 buyer journey study
~20%
Of searches now show Google AI Overviews
Ahrefs, 2025 analysis of 146M keywords
4
Assistants we track for recommendations: ChatGPT, Claude, Perplexity, Gemini
Aus Asia Online LLM Optimisation programme
3–6
Months for most brands to see early movement in AI mentions
Stronger results build over 6–12 months

If the assistants don’t know you, they recommend someone else and you never see the miss. LLM optimisation gets you into the recommendation. That’s where a growing share of buyers now decide.

Our Service

What’s included in our LLM Optimisation Services

We don’t sell a single fix. We build an LLM optimisation programme that runs alongside your wider SEO, then track where the assistants mention you.

01

AI mention audit

We test what ChatGPT, Claude, Perplexity and Gemini say about your brand today, so we know exactly what we’re working with before we touch anything.

02

Brand and entity clean-up

We make your business details clear and consistent across the web, so every signal a model learns from points to the same business doing the same thing.

03

Authority content

We publish factual, trustworthy content that gives models something solid to draw on when they’re deciding whether your brand deserves a recommendation.

04

Off-site presence

We build mentions and reviews on the platforms assistants trust, so when a model looks beyond your own site, it finds plenty of credible reasons to name you.

05

Mention tracking

We monitor how often and how well the major assistants recommend you, then refine the programme based on what the data actually says, not what we hope it says.

+

One joined-up plan

Reported in plain English, with a clear view of what moved and why. No black-box dashboards, no jargon, no surprises at the end of the month.

Fits With GEO & AEO

How LLM optimisation fits with GEO and AEO

LLM optimisation, GEO and AEO are three parts of one job: getting found in AI search. They overlap, but each targets a different outcome. Most brands need all three working together.

Discipline
What it wins
LLM Optimisation
Your brand recommended inside ChatGPT, Claude, Perplexity and Gemini
Your content quoted as a source by generative engines
The direct-answer slots in Google AI Overviews, snippets and voice

We run all three as one strategy. For the detail, see our GEO services and AEO services pages.

Who This Is For

Australian businesses that get chosen, not just found

If buyers ask for recommendations before they commit, in professional services, health, trades, B2B or ecommerce, the assistant’s shortlist matters. You want your brand on it.

Professional Services Health Trades B2B eCommerce

If your brand has a thin presence online, we’ll usually build that footprint first, then work on recommendations. We’ll tell you straight which stage you’re at.

Why Aus Asia Online

We’ve been doing search for years, since well before AI assistants picked brands for people

That matters, because LLM optimisation isn’t a brand-new skill bolted on. It’s strong content, clear brand signals and real authority, applied to a new set of engines. We understand the fundamentals and we’ve kept pace with where search is going.

4
Assistants tracked for recommendations
ChatGPT · Claude
Perplexity · Gemini
One joined-up strategy, reported in plain English

Real clients back that up.

As one put it: “Monir and the team have done an excellent job at improving my site’s SEO and helped my business get NDIS leads.” We report honestly, skip the jargon, and won’t tie you into a contract you’ll regret.

We’re a Sydney-based digital marketing agency with years of search experience, working with businesses of every size across Australia. Prefer to talk it through? Call us on 1300 189 687.

Book a strategy session
FAQ

Frequently Asked Questions

The questions we hear most often about LLM optimisation and getting recommended by AI assistants.

What is LLM optimisation?
LLM optimisation is the practice of getting your brand mentioned and recommended inside AI assistants like ChatGPT, Claude and Perplexity. It builds the content, authority and brand signals that lead a model to name your business when someone asks it for a recommendation.
How do I get my brand recommended by ChatGPT?
You make your brand a clear, trustworthy and well-known option. That means consistent brand details across the web, factual content that explains what you do, and credible third-party mentions and reviews. No one controls a model’s output, but strong, consistent signals make your brand far more likely to be named.
Is LLM optimisation the same as SEO?
No, but they’re closely linked. SEO ranks your pages in Google. LLM optimisation works to get your brand recommended inside AI assistants. SEO builds the public footprint models learn from, so the two reinforce each other. You get the best results running them together.
How is LLM optimisation different from GEO and AEO?
LLM optimisation gets your brand recommended inside assistants. GEO gets your content quoted as a source by generative engines. AEO wins the direct-answer slots in Google AI Overviews, snippets and voice. They overlap, and most brands benefit from all three as one strategy.
How long does LLM optimisation take to work?
Most brands see early movement within three to six months, with stronger results building over six to twelve. Assistants favour brands with consistent, trusted signals, and those take time to build and for models to pick up. The work compounds, so consistency pays off the longer you keep at it.
Get Recommended by AI Assistants

The brands winning in AI search aren’t always the biggest.

They’re the ones the assistants know, trust and name. We can get you there. Book your free LLM visibility check. We’ll show you what the assistants say about you now, where you’re missing, and what we’d do about it.

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