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Submit your prompt
For Textile & Garment Manufacturers
When a sourcing manager or a brand's buying team searches ChatGPT or Claude for a fabric mill or garment factory, a short list of names comes back. They send their tech pack to two or three on that list. Simaia gets your mill onto that list, before the shortlist closes.
Trusted by Founders and Growth Leaders in APAC
Signs You're Losing Leads to AI Search
Does this look like your last twelve months?
Organic traffic flat or falling
while your rankings for your fabric categories haven't moved
Cost per inquiry from paid climbing every quarter,
for the same volume of sample requests.
The trade fair or agent channel that used to deliver has gone quiet.
Nothing new in your inbox between Canton Fair and Intertextile.
A competing manufacturer keeps surfacing
in buyer conversations you were never part of.
You've committed to an order book target this year,
and the current channels don't get there.
BEFORE
✓ click
✓ click
✓ click
10 links on the pagea shot at every one
Buyer searches. Sees ten links. Clicks three. You had a shot at every one of them.
NOW
1VVendor A✓ contacted
2VVendor B✓ contacted
3VVendor C✓ contacted
shortlist built in the answerno website visit
Buyer asks. Gets three named vendors and a summary. Contacts them.
What AI Search Changed
Nobody on your team was hired to figure out AI Search.
A year ago, it didn't exist.
Most small and mid-sized textile manufacturers are invisible in AI search. Staying inside the answer takes ongoing effort merchandising 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 the AI answer, so you're paying to reach buyers who've already got their shortlist 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, while your merchandisers are managing production and shipments.
Spend more on ads or listing upgrades
Ads sit below the answer.
They buy clicks, but there's no ad slot inside the AI answer itself.
Getting leads doesn't have to mean another dashboard
Buyers ask AI which supplier to use. Simaia makes sure it's your manufacturer.
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
Valuable 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 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.
Press Releases
Media Coverage That Gets Found by AI
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.
0
x
Leads (typically $2.5K CAC per lead)
0
x
Website traffic
0
x
AI Bot visits
0
x
Leads per month
Who This is For
For manufacturers that need buyers to find them, not just meet them at trade shows
Factory owners, sales teams, and founders who are losing RFQs to competitors they never knew were competing.
FAQ
Got questions?
Here's how Simaia helps textile manufacturers across APAC win more brands and buyers without paid ads
What is LLM brand visibility for a textile manufacturer?
LLM brand visibility refers to how often your mill's name appears in answers from ChatGPT, Claude, Gemini, Perplexity, and Google AI Overview when buyers search for suppliers in your fabric category, by material, construction, certification, or country. Most textile manufacturers start at 0% across all five platforms.
Why do some textile manufacturer 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 depends on the industry. The exact sources that carry weight for your fabric category and sourcing region 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 manufacturers to recommend?
AI models weigh a few factors when deciding which mills to mention. Whether the factory is referenced on the sources that model trusts for the category. Whether that content is specific and factual enough; machinery, capacity, MOQs, certifications, lead times, to extract into a direct answer. Whether the factory appears across multiple relevant queries rather than just one. Factory 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.
A competing textile manufacturer 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 about sourcing in your region, 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 factory.