Visual categories, aesthetics, and how-to imagery often show up in image search before they dominate text queries. Source google images gives assistants a parallel series for the same phrases brands use in briefs, so creative and SEO discussions include visual intent, not only web blue links.
Text SERPs and image SERPs diverge. A single web-search chart can miss demand driven by Pinterest-style discovery or design research. With source: "google images", the assistant grounds answers in the same Data Sources contract as other Google verticals.
Content strategists can ask the assistant to compare google search and google images growth for the same phrase inside one get_growth call using comma-separated sources. Brand teams can trace whether a campaign visual language is tiring by watching multi-year get_trends output.
Remind the assistant that normalized scores support comparison across Google properties but still need human judgment for creative quality. Cite dates returned in the payload when writing summaries so stakeholders can audit the claim.
Product-focused copy lives on Google Images trends. The shared MCP overview is MCP trend tools for assistants.
Tools for this workflow
get_trendsPlot how visual interest in a motif changed across seasons for moodboard planning.
get_trends(keyword='cottagecore decor', source='google images', data_mode='weekly')
get_growthCompare quarter-over-quarter visual demand for two creative directions.
get_growth(keyword='cottagecore decor', source='google images', percent_growth=['3M', '12M'])
get_ranked_trendsList rising image-oriented queries when the user asks what visual topics are spiking.
get_ranked_trends(source='google images', sort='mom_pct_change', limit=25)
get_top_trendsNot all live feeds map to image verticals; default to ranked or keyword calls unless a feed explicitly covers image search.
get_top_trends(type='Google Trends', limit=15)
FAQ