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Know what tocreate next.

Competitor ads deconstructed. Testable hypotheses.

Download for Mac
Free core editorPrivate by designmacOS 15+ · Apple Silicon
Ads ResearchIntercepting category
Watching category…
Monitoring14 competitors
Queued7 hypotheses
VariantsReady to assemble

How It Works

Category context. Testable hypotheses.

Save competitor ads, extract their structural DNA, and push winning hypotheses straight into production. Research and editing in one seamless workflow.

Step 1 · Capture

Save from your feed

The eonik Chrome extension lets you save any competitor ad directly from Meta, TikTok, or Instagram without leaving your feed. It lands in your private swipe file instantly.

Sources
Meta Ad Library
TikTok feed
Instagram Reels

Step 2 · Analyse

AI reads the genome

eonik deconstructs each saved ad: narrative arc, cut density, hook architecture, pacing. It surfaces the structural pattern — not a score, a verifiable read you act on.

Extracted signal
> Pacing: Fast (0.8s avg)
> Arc: Problem → Solution
> Tone: Urgent / Scientific

Step 3 · Assemble

Queue variants in the studio

Write one isolated hypothesis — e.g. curiosity hook on locked body — and carry it into the eonik Mac studio. Produce 5–10 on-brand variants with your brand kit applied. You approve every cut before upload.

Before export checklist
Hook isolated on locked body
Brand kit applied
Stop rules written
Sandbox budget capped

From swipe file to sandbox test.

Research is upstream. Production is downstream. eonik closes the gap.

1

Save with the extension

Spot a competitor ad crushing it on Meta, TikTok, or Reels. Save it instantly via the Chrome extension — it lands in your private swipe file without breaking your scroll.

2

Read the AI genome

eonik extracts the structural pattern — hook type, pacing, narrative arc — and writes one isolated test hypothesis. No predictions, no scores. A verifiable read you decide to act on.

3

Assemble and ship

Carry the hypothesis into the eonik Mac studio. Produce 5–10 on-brand variants with your brand kit applied. Launch sandbox at ~10% budget with stop rules pre-written. Read Hook Rate and Hold Rate; you promote or kill in Ads Manager.

Common questions

Research is upstream; production is downstream

Competitor ad libraries answer what is running in your category — hook types, pacing, offer language, format shifts. That intelligence only matters when it converts to a test queue and finished variants on your timeline.

The eonik marketing agent watches category signals continuously and brings considerations with verifiable receipts. You decide what to produce; eonik assembles on-brand cuts you approve before upload.

From swipe file to sandbox test

Operator workflow:

  • Log competitor hook architecture (pain, curiosity, proof, pattern interrupt)
  • Write one isolated hypothesis — e.g. curiosity hooks on your locked body
  • Produce 5–10 variants in eonik with brand kit applied
  • Launch sandbox at ~10% primary budget with stop rules pre-written
  • Read Hook Rate and Hold Rate; you promote or kill in Ads Manager

What research tools do not replace

Swipe files and brief builders do not export finished, on-brand video files. Analytics tools report lagging performance but do not make the next hook swap. eonik closes the assemble-and-ship gap — with human approval on every cut and no budget automation.

What to read next

Research is step one. Connect it to agentic planning, production workflow, and testing methodology.
  • Marketing agents for creative testing

    Read guide
  • How to generate AI ads

    Read guide
  • Competitor ad library

    Read guide
  • eonik MCP for agents

    Read guide
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