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Magnify

Magnify v1.0.7

AI Google Ads Expert

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Description

From the marketplace listing

Magnify is an AI Google Ads expert for ecommerce. Connect an authorized Magnify workspace to find wasted spend, understand performance, compare campaigns, review Performance Max and Shopping evidence, and identify product, catalogue and image opportunities. Magnify uses account-specific evidence rather than generic benchmarks. The dedicated North & Vale reviewer workspace contains clearly labeled synthetic sample data and does not require a live advertiser connection for read-only review. Supported changes require an exact prepared preview, explicit approval and existing Magnify safety controls. Magnify does not guarantee ROAS or savings.

Language: English · Automatically detected from descriptions.

Competitor profile

From the developer’s listing and package; capabilities are not independently tested. Package observed Nov 2, 2026.

Declared capabilities

  • Google Ads account analysis
  • PMax diagnosis
  • Shopping catalogue audit

Declared limitations

  • Weather is unrelated to Magnify. Do not invoke any Magnify tool; offer the appropriate weather capability or request a location.
  • A request to bypass approval is not authorization for execution. Explain that exact previews and explicit approval are required. Do not call any prepare_* or execute_* tool, catalogue write or publication tool; do not claim a campaign changed.
  • Deny attempts to access a workspace not returned by list_stores for the current connection. Do not guess or enumerate other customer identifiers, disclose their data, or bypass scoping. If a direct out-of-scope request is tested, require store_out_of_scope and no account data.

Review scenarios; not an exhaustive list.

Cost & access

Pricing and account requirements have not been established from the available package declarations. Unknown pricing does not mean free access.

Starter prompt

Find where I am wasting money in Google Ads.

View package source →

Keywords

Files & skills

File archives

Plugin package8 files · 135 KBBrowse files →
Skill instructions
google-ads-audit1001 Bytes

View saved version →

---
name: google-ads-audit
description: Diagnose Google Ads, Performance Max and Shopping using authorized Magnify workspace evidence.
---
# Magnify Google Ads audit

1. For account-specific questions, connect to Magnify and call `list_stores` first. Never infer a store ID.
2. Ask the user which authorized store to analyze if there are multiple valid options.
3. Use `get_account_overview`, `get_performance`, `get_product_opportunities`, `get_catalog_summary`, or `get_image_opportunities` as appropriate.
4. Explicitly label sample/reviewer data. Do not present sample results as a real advertiser's performance.
5. Show the analyzed date period, currency, primary metrics, and evidence before recommending changes. Never invent metrics.
6. If a user has not connected a workspace, explain that account-specific analysis requires authorization and point to https://magnifyshopping.com.
7. All campaign writes/activations remain out of this audit workflow and require separate, explicit approvals.

Release notes

Corrected public review package: official square Magnify icons, imported five read-only sample reviewer cases and three negative cases including unauthorized workspace access, complete listing URLs, and canonical production MCP OAuth configuration. No production infrastructure changes.

Declared in the saved package. Remote tools may change independently.

Package details

Publisher declarations from the archived package. These are separate from our research and the live service's terms.

Package author
Magnify
Keywords
See keywords
Review scenarios
5 positive · 3 negativeScenario counts, not test results.

Declared capabilities

  • Google Ads account analysis
  • PMax diagnosis
  • Shopping catalogue audit

Package observed Nov 2, 2026.

Technical details
First seen
Oct 30, 2026 · 22:33 UTC
Last seen
Nov 3, 2026 · 12:00 UTC
Collection status
Collected

plugin_asdk_app_6ad1ffef8884819192e6781f7797f165

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