You don't have to figure out AI search. Simaia gets your company into the results your customer actually see.
Trusted by Founders and Growth Leaders
Signs You're Losing Leads to AI Search
Does this look like your last twelve months?

Organic traffic flat or falling
while your rankings haven't moved.

Cost per lead from paid climbing every quarter,
for the same volume.

The exhibition or referral channel that used to deliver has gone quiet.

A competitor keeps surfacing
in conversations you were never part of.

You've committed to a lead number this year,
and the current channels don't get there.
What AI Search Changed
Nobody on your team was hired to do this.
A year ago, it didn't exist.
Most small and mid-sized companies are invisible in AI search. Staying inside the answer takes ongoing effort most teams don't have time for.
You're still there,
but invisible
You still show up in Google. The problem is nobody scrolls down to see you.
paying more, getting less
Your ads sit below that AI answer, so you're paying to reach people who've already got their answer and moved on.
Your options
Every fix either shows you the problem or costs you time you don't have.
What you'd try
Where it stops
Wait it out
The AI models keep learning who to cite, and right now that's not you.
Every month you wait, whoever's already in the answer gets harder to catch. The gap widens on its own.
Buy a GEO dashboard
But fixing the problem is still your job.
It tells you you're invisible, in colour, monthly.
Do it in-house
It's close to a full-time job nobody on your team has room for.
Find the questions buyers ask, see who's being cited, write so the models pick you up, then keep it current across every platform, week after week.
Spend more on ads
Ads sit below the answer.
They buy clicks, but there's no ad slot inside the answer itself.
People ask AI who to recommend.
Simaia makes sure it's you.
4x
Leads (typically $2.5K CAC per lead)
Features
All-in-one AI marketing solution on autopilot that gets you leads
AI search audit across all major platforms
70 prompts run across ChatGPT, Gemini, Claude, and Google AI Overview to show exactly where you appear and where your competitors do.
Content formatted for LLM extraction
Written in the structure LLMs cite, not just what ranks on Google.
Content Generation
We identify the platforms that matter (e.g LinkedIn, Reddit) in your category and publish content there, where LLMs are most likely to trust and cite it.
Identify who visits from AI search
Company name, individual contact, email, phone, and LinkedIn surfaced for every inbound visitor from AI referrals.
Indexing managed against site health
Content volume is paced against your Google Search Console data so it never damages your existing rankings.
Done-for-you, not a dashboard
Simaia runs the strategy, writes the content, places it, and reports back.
Our client appeared in across-the-funnel ChatGPT and Google AI Overview searches for their core product category within one month. Their press release was picked up by USA Today and other relevant outlets.
x
Leads (typically $2.5K CAC per lead)
x
Website traffic
x
AI Bot visits
x
Leads per month
Got questions?
Here's how Simaia helps companies across APAC win more clients without paid ads
What is LLM brand visibility?
LLM brand visibility refers to how often your company name appears in answers from ChatGPT, Claude, Gemini, Perplexity, and Google AI Overview when buyers search for products or services in your category. Most B2B companies start at 0% across all five platforms.
Why do some companies appear in AI search results and others in the same category don't?
AI models cite companies that have specific, factual content on the sources they trust, and which sources those are depending on the industry. Across most B2B categories, ChatGPT cites LinkedIn, Google AI Overview cites Reddit, and Perplexity cites press releases, but the exact sources that carry weight for your specific category can differ. Simaia's audit identifies which sources are actually being cited for your buyers, then places content there.
How do AI models decide which companies to recommend?
AI models weigh a few factors when deciding which companies to mention. Whether the company is referenced on the sources that model trusts for that category. Whether that content is specific and factual enough to extract into a direct answer. Whether the company appears across multiple relevant queries rather than just one. Brand size and marketing budget matter less than content placement and format. Simaia identifies the exact gaps and closes them through content placed on the right sources.
My competitor appears in ChatGPT and Perplexity answers for our category. We don't. How does that happen?
Your competitor appears because content about them exists on the sources those models are reading for your category. It may be a Reddit thread, a LinkedIn post, a press release picked up by a newswire, or pages on their own site structured for LLM extraction. They may not have done this deliberately. Simaia's audit identifies exactly which sources are driving their citations, then places comparable content on those same sources for your company.
Is Simaia a GEO agency or a software tool?
Simaia is an AI marketing team, not a software tool. Most GEO tools are dashboards that show you data and expect you to act on it yourself. Simaia handles strategy and execution, from audit, content generation, placement across the right sources for each AI model, and monthly reporting. Clients receive reports and attend weekly calls. Simaia is based in Hong Kong and currently serves clients across APAC, with US expansion underway.
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