Autom

@Autom find images of sustainable office furniture for our new workspace design deck

Found 10 image results for 'sustainable office furniture'. Top results include: a bamboo standing desk from EcoOffice.com (1200×800px), a recycled plastic chair collection from GreenWork (1920×1080px), and modular shelving from Sustain Furniture Co. (1600×900px). Each result includes the source domain, image dimensions, and direct URL. This illustrative example shows how the MCP returns structured metadata you can drop directly into design documents or presentation decks.

This example uses the Google Images tool to retrieve visual assets with metadata. The MCP returns URLs and dimensions but doesn't download files — you'll need to fetch images separately. Results depend on Google's current index and may vary by region. Useful for quick visual research without leaving your workspace.

@Autom what languages should we support for our EU product launch? prioritize markets with high reach

Google supports 135+ languages. For EU product launches, prioritize: English (en), German (de), French (fr), Spanish (es), Italian (it), and Polish (pl). These cover the largest populations and purchasing power in the region. Each language code follows ISO 639-1 standard, ready for i18n configuration. This illustrative response shows how the MCP helps you scope localization work by surfacing language codes with context about market reach.

This example demonstrates the Google Languages tool for localization planning. The MCP provides language codes but doesn't include demographic or economic data — you'll need to cross-reference market research. Helpful when scoping translation work or configuring multi-language products. No side effects; this is a read-only lookup.

@Autom we're targeting ads in California — show me all google-supported locations matching 'san' so we can pick the right geo targets

Found 8 locations matching 'san': San Jose, California (most populous), San Francisco, California, San Diego, California, San Bernardino, California, Santa Ana, California, Santa Clara, California, Santa Rosa, California, and San Mateo, California. Results are ordered by population reach. This illustrative example shows how the MCP helps you narrow geographic targeting by surfacing location names in priority order, ready to use in ad campaign setup.

This example uses the Google Locations tool to filter geographic targets for advertising or analytics. The MCP returns locations ordered by reach but doesn't include population counts or demographic breakdowns — you'll need to verify targeting scope in your ad platform. Useful for scoping campaigns without switching tools. Read-only; no account changes.

When Autom speeds up market research for international rollouts

A 6-person product team is scoping a European expansion and needs to validate which countries and languages to prioritize. Autom's Google Countries and Google Languages tools pull the full list of supported locales in under a minute, letting the team cross-reference against their analytics data without manually scraping Google Ads documentation. The Google Locations tool orders results by population reach, so you can quickly spot high-value metros. This works best when you're in the early research phase and need structured reference data fast. If you're already deep in a localization platform like Phrase or Crowdin, you probably don't need another API key. But for teams without a dedicated localization stack, Autom turns a two-hour research task into a five-minute Switchy query.

When Autom's image search fits editorial workflows

A 3-person content team is drafting a blog post on sustainable packaging and needs royalty-free images with metadata for attribution. Autom's Google Images tool returns URLs, titles, and source domains in one call, so the team can preview options and check licensing in Switchy without opening 15 browser tabs. This is faster than manual Google Image searches when you're batching research for multiple posts. The trade-off: you still need to verify licensing on the source site, and if your team already uses Unsplash or Pexels APIs, those are purpose-built for editorial use. Autom wins when you're doing exploratory research across mixed sources and want structured metadata upfront. If you're publishing daily and need a vetted asset library, invest in a proper DAM instead.

When Autom bridges the gap before full ad platform access

A 2-person growth team is drafting a Google Ads campaign and needs to confirm which locations and languages are supported before requesting budget approval. Autom's Google Locations tool lets them search by city name and see population-ordered results, so they can prioritize high-reach metros without logging into Google Ads Manager. This is useful when the team doesn't yet have admin access to the ad account or is in the proposal stage. The limitation: Autom doesn't pull live ad performance data or bidding insights, so once the campaign is live, you'll switch to the Google Ads API or a tool like Supermetrics. Autom is the right call for pre-launch research when you need quick validation on targeting options, not ongoing campaign management.