✏️Prompts

AI Tools for Planning and Managing Ad Campaigns

Paid advertising rewards speed and volume of testing. AI compresses the time between hypothesis and result — generating creative variants, predicting performance, and optimising bids faster than any manual process.

How teams typically do this

Research & plan

Competitor analysis and keyword planning

Create ad copy

Write and test multiple ad copy variants

Launch & optimise

Smart bidding and creative auto-optimisation

Analyse performance

Unified reporting and budget optimisation across channels

Best AI tools to plan & manage ad campaigns

1
Metadata.io
Metadata.ioAI-Native

Meta's Advantage+ campaigns use AI to handle audience targeting, creative selection, and budget allocation automatically. For most e-commerce and lead generation advertisers, it outperforms manual campaign management.

$$$Mid-Market · Enterprise
2
Google Ads
Google AdsAI-Native

Google's AI-driven campaign type that runs across Search, Display, YouTube, and Shopping simultaneously. The right default for most advertisers once you have enough conversion data to train the algorithm.

freeSolo · Micro · Small Business
3
Anyword
AnywordAI-Native

Predicts ad copy performance before you publish using real conversion data. Generates and scores variations across platforms so you're testing the best candidates, not random options.

$Solo · Micro · Small Business
See more tools for this workflow →

Prompts to get started

Structure your campaign thinking before generating any creative — prevents wasted iterations.

Help me write a creative brief for an ad campaign.

Product/service: [describe]
Campaign goal: [e.g. drive signups, increase purchases, generate leads]
Target audience: [describe in detail — demographics, behaviours, mindset]
Key message: [the one thing you want them to take away]
Call to action: [what do you want them to do?]
Platform: [e.g. Meta, Google, LinkedIn, TikTok]
Budget range: [approximate]
Timeline: [when it needs to run]

Please produce:
1. A one-paragraph campaign summary
2. 3 creative territories (different emotional or rational angles to explore)
3. For each territory: headline, visual direction, and copy approach
4. Suggested A/B test structure for the first two weeks

Plan your architecture before spending a dollar.

Plan campaign structure and targeting.

Platform: [Google / Meta / LinkedIn / TikTok]
Goal: [awareness / leads / sales / installs]
Budget: [monthly or campaign total]
Product: [describe]
Audience: [demographics, interests, behaviours, job titles]
Geography: [where to target]
Exclusions: [who to exclude]

Please recommend:
1. Campaign and ad set structure
2. Targeting approach per ad set
3. Bid strategy and why
4. Budget allocation
5. Top 3 audience segments most likely to perform
6. What to test first before scaling

Diagnose what's working, what isn't, and where to reallocate.

Analyse this ad campaign performance.

Goal: [leads / sales / ROAS target]
Platform: [platform]
Period: [date range]
Budget spent: [amount]

Breakdown [ad set, spend, impressions, clicks, CTR, conversions, CPA/ROAS]:
[PASTE DATA]

Please:
1. Which ad sets to scale immediately
2. Which to pause or kill
3. Why underperformers are struggling
4. One structural change to improve efficiency
5. Revised budget allocation

Different audiences need different messages.

Write ad creative for different audience segments.

Product: [describe]
Platform: [Meta / LinkedIn / Google]

Segments:
1. [Segment]: [who they are and their main pain]
2. [Segment]: [describe]
3. [Segment]: [describe]

For each segment write:
- Primary text/headline speaking to their specific pain
- The benefit framing that matters most to them
- A CTA appropriate for their funnel stage
- One visual concept

Tone: [describe brand voice]