The ad network for LLMs
Ads that feel like
good timing,
not interruptions.
AdLib connects LLM developers earning pennies on apps their users love, with advertisers whose budgets disappear into platforms nobody's paying attention to anymore.
Movie Buddy — powered by AdLib
Can you give me some movies that take place in NYC?
Oh, you're in for a treat — NYC is such a cinematic gem! Here are 4 great picks:
- When Harry Met Sally... (1989) - A rom-com classic that captures the charm of NYC through love, friendship, and a lot of coffee shops.
- Do the Right Thing (1989) - Spike Lee's powerful masterpiece set on a sweltering Brooklyn day — intense, thought-provoking, and vibrant.
- Spider-Man: Into the Spider-Verse (2018) - A visually stunning animated adventure that swings through NYC with style and heart.
- The Godfather (1972) - Dive into the dark side of NYC with Michael Corleone's gripping journey into power and family loyalty. The complete trilogy is available on Blu-ray — stream or learn about it now at https://godfather.fandom.com/wiki/The_Godfather_Wiki
What vibe are you going for — romantic, gritty, or something else?
- Sponsored by AdLib.
The gap we're closing
Two real problems.
One clean solution.
For developers
"I spent $800 in API costs last month building something thousands of people use every day. I couldn't afford groceries."
01
For advertisers
"We bid in an auction, won, and our ad showed up next to content nobody was reading. We paid. Nobody clicked. Nobody cared."
— The reality of traditional display advertising: impressions aren't attention.
02
Live example
Here's what it looks like in the wild.
A user chatting with Movie Buddy asks for NYC films. AdLib serves a relevant sponsored result — at the exact moment they're already engaged. That's what chatbots do: they hold attention.
Step 1 — install
$ pip install adlib-client
Step 2 — drop it in
from adlib_client import AdLib
adlib = AdLib()
# your existing LLM output
llm_output = "Here is the model's answer"
# one line. that's it.
adified = adlib.adify(llm_output)
print(adified)
Full reference Read the docs — it's a five-minute read →
→Why this works
The user is already focused. They asked a question, they're reading the answer. When the ad appears at the bottom of a relevant response, it's not an interruption — it's a natural extension of the conversation.
Chatbots are different from websites
Traditional ads compete for a glance on a busy page. Here, the user's attention is already locked in. Every conversation response gets read. That's not a metric traditional display can replicate.
For The Godfather brand here
They provided a URL and a brief. AdLib matched it to a conversation about NYC films. The user is primed. A click here means something — not a scroll-by accident.
How it works
Pick your side.
AdLib is two products in one. Both are live from day one, with no commitments.
For developers
Your users are here.
Your revenue wasn't.
You built something people use. Now make it pay for itself — without subscriptions, without paywalls, without ruining the experience.
1
Sign up, grab your API key. No approval process. Ready in under a minute.
2
One API call. Pass your LLM output to AdLib. We return the same response with a relevant, clearly labelled ad appended.
3
Collect monthly. Track every impression, click, and payout in real-time from your dashboard.
For advertisers
Your audience moved.
Your ad budget didn't.
Millions of people have shifted from search and social to AI assistants. AdLib is where you follow them — at the exact moment of intent, not three scroll-bys later.
1
Create your campaign. Set your budget, target topics, regions, and ad creative. Live within the day.
2
We match, not auction. Your ad reaches the right conversation — not just the highest bid. Relevance wins, not just spend.
3
Pay per click only. No wasted impressions. No minimum spend. Pause or adjust any time.
The difference
Why LLM ads outperform display.
When a user is in a conversation, they're paying attention. That changes everything about what advertising can be.
| Feature | AdLib | Traditional display |
|---|---|---|
| When the ad appears | ✓Active moment of intent | ✗Passive scroll-by |
| How targeting works | ✓Live conversation context | ✗Historical cookie data |
| Ad placement method | ✓Contextual matching | ✗Highest-bid auction |
| User engagement | ✓High — user is focused | ✗Low — banner blindness |
| Privacy compliance | ✓Built-in, no cookies or PII | ✗Requires consent banners |
Get started
Your next conversation
could be earning.
Whether you're shipping an LLM product or running ad campaigns — AdLib has a place for you.
Developers
Monetize your LLM app
Free to start. Payout from your first month. No minimum traffic requirement.
Advertisers
Reach AI-native audiences
No minimum spend. Full control over targeting, budget, and creative.