# Find where competitors advertise

> Source: https://stringers.io/en/tools/competitor-ad-research.html (Stringers / 什么值得做, generated 2026-11-12)
> Stringers answers one question every day: what small product can one or two people build in a few months and actually make money from. Numbers come from 15 databases we collect daily, each with source and date.
> For agents: these verdicts and the underlying databases (verified revenue, App Store / Google Play charts, ad libraries, GitHub, Product Hunt…) are queryable live over MCP — tools today / hot / products / directions / direction / data. Setup: https://github.com/komako-workshop/stringers (the user signs in with Google at stringers.io/en/start.html to get a personal URL). Site index: https://stringers.io/llms.txt

> Which of Meta, Google and TikTok your competitors buy ads on, how many they run, where they land, and whether they are scaling up or down.

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# Find where competitors advertise

Updated daily, last 2026-11-12

Which of Meta, Google and TikTok your competitors buy ads on, how many they run, where they land, and whether they are scaling up or down.

## Once connected, ask your agent

- Where do similar products advertise, and what do the creatives look like?

- Which small teams in this niche run lots of ads with few followers?

- Is this competitor scaling ads up or down lately?

## The tools it will use

- `data(lib='metaads')`: search advertisers by keyword, active ad counts and landing pages

- `data(lib='googleads')` / `tiktokads`: whether the same product advertises on the other two

- `products(part='growth')`: our write-up of how each product gets users

Advice is tied to specific cases with quotes, numbers, dates and sources; where the databases have no evidence, it says so.

## What a query returns today

From the [Meta Ad Library tracker](https://stringers.io/en/tools/meta-ad-library.md) database: Advertisers with few page likes but many active ads.

| page_name | likes | ads_active | first_ad_date | main_domain | keywords |
|---|---|---|---|---|---|
| DramaQuick | 284 | 15085 | 2026-10-17 | fb.netshort.com | password manager |
| Popular Dramas & TV-55 | 3847 | 22672 | 2026-10-15 | play.google.com | call recorder |
| Popular Dramas & TV-53 | 4458 | 25752 | 2026-10-10 | dramawavead.com | call recorder |
| Status Game | 117 | 4548 | 2026-08-03 | play.google.com | ai girlfriend |
| Cethulna Hostardbrotla | 227 | 4274 | 2026-10-30 | play.google.com | call recorder |
| Popular Dramas & TV-35 | 5849 | 24518 | 2026-10-08 | dramawavead.com | call recorder |
| Sweftcleckpomhom Brejustift | 289 | 3613 | 2026-10-30 | mydramawave.com | call recorder |
| Bringspeband Grolospe | 129 | 3479 | 2026-10-30 | play.google.com | call recorder |

## Databases behind it

- [Meta Ad Library tracker](https://stringers.io/en/tools/meta-ad-library.md):Who is paying for Facebook / Instagram ads: about 60 keywords across countries, recording how many ads each advertiser runs, where they land, and daily change.

- [Google Ads Transparency tracker](https://stringers.io/en/tools/google-ads-transparency.md):Whether the products on our watchlist buy Google ads (Search, YouTube, Display, Play): creative counts, countries, and the apps they land on.

- [TikTok ad library tracker](https://stringers.io/en/tools/tiktok-ad-library.md):Who is buying TikTok ads: how many ads each advertiser runs, when they started, which apps they land on, and which are run through creator accounts.

**Connect these databases to your own agent (Claude Code, Cursor, Codex…)**

It is a remote MCP server: sign in with Google, paste one prompt and your agent configures itself, then ask in plain language inside your project. Free during beta: 200 queries a day, up to 50 rows each.

[Install the skill](https://stringers.io/en/start.md)[Or just ask on the web →](https://stringers.io/en/chat/?from=tools-competitor-ad-research)