What is audience-overlap-detector?

A Meta Ads command that finds active ad sets whose target audiences overlap. An ad set is a group of ads that shares targeting and budget settings; overlapping audiences can make campaigns compete for the same people.

Use it to audit Meta campaigns, find competing ad sets, estimate related budget waste, and identify audience exclusions or lookalike ranges that need adjustment.

When campaigns target many of the same people, they may compete against each other and waste budget. This reports high- and medium-overlap pairs, lookalike-audience stacking, and missing exclusions.

audience-overlap-detector — Command for Claude Code by Ad-Superpowers

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo

git clone --depth 1 https://github.com/Ad-Superpowers/ad-superpowers-plugin

Made for: Claude Code.

Or install ad-superpowers, the plugin that ships this one along with the rest of its 17 skills, 35 commands, 5 agents, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/commands/ad-superpowers/ad-superpowers-plugin/audience-overlap-detector.svg)](https://agentmods.dev/commands/ad-superpowers/ad-superpowers-plugin/audience-overlap-detector)

Your own site

<a href="https://agentmods.dev/commands/ad-superpowers/ad-superpowers-plugin/audience-overlap-detector"><img src="https://agentmods.dev/badge/commands/ad-superpowers/ad-superpowers-plugin/audience-overlap-detector.svg" alt="Measured on agentmods" height="20"></a>

Per session 23 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 1,231 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00023	$0.01231
Opus 5	$0.00012	$0.00616
Sonnet 5	$0.00005	$0.00246
Haiku 4.5	$0.00002	$0.00123

Measured 7d ago against content hash b151a4a7a78d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

audience-overlap-detector scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugin/commands/audience-overlap-detector.md · 123 lines

How it starts

The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Platforms: meta Tier: pro

This command requires the Ad Superpowers MCP connector to access your ad account data. Connect at https://app.adsuperpowers.ai if you haven't already.

Audience Overlap Detector

Detect and resolve audience overlap in Meta Ads campaigns

Conditional: if include_recommendations with detailed fix recommendations.

OUTPUT FORMAT (CRITICAL - follow this EXACT structure)

OVERLAP SUMMARY

Metric	Value
Active Ad Sets Scanned
High Overlap Pairs
Medium Overlap Pairs
Est. Monthly Budget Waste

HIGH OVERLAP PAIRS (Action Required)

Ad Set A	Ad Set B	Overlap Type	Severity	Combined Spend	Fix
(Sorted by combined spend descending)

LOOKALIKE STACKING ISSUES

Seed Audience	1% LAL	2% LAL	3%+ LAL	Issue	Fix
Recommendation: Use non-overlapping bands (0-1%, 1-2%, 2-3%) or keep only the 1%.

EXCLUSION GAPS

Ad Set	Missing Exclusion	Impact	Priority
(Ad sets that should exclude certain audiences but don't)

PROPER EXCLUSION HIERARCHY

Prospecting campaigns should exclude:

All purchasers (180 days)
All leads (90 days)
Website visitors (if retargeting runs separately)

Retargeting campaigns should exclude:

Recent purchasers (based on purchase cycle)
Already converted leads (if lead gen)

ACTION PLAN

[Highest impact fix - estimated savings]
[Second fix]
[Third fix]

EXECUTION STEPS

Step 1: Discover Account

meta_list_ad_accounts()

Step 2: Pull All Active Ad Sets with Targeting

meta_query(account_id="FROM_STEP_1", edge="adsets", params={"fields":"name,targeting,status,daily_budget,lifetime_budget,optimization_goal,campaign_id", "filtering":[{"field":"status","operator":"IN","value":["ACTIVE"]}], "limit":100})

Step 3: Pull Campaign Names for Context

Read the full file on GitHub · 123 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

7d ago First seen · 123 lines · 23 tokens per session scan A b151a4a7a78d

Subscribe to this mod's changes

audience-overlap-detector is a command published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 9d ago), licensed MIT. It adds 23 tokens to every session and 1,231 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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audience-overlap-detector