// Equips sellers with macro industry trends by analyzing trending data and specific analyst/competitor channels.
Accesses real-time spatial data, weather, and traffic routing to design accurate itineraries.
Performs a strict evaluation of a video asset using Google's official 'ABCD' framework (Attract, Brand, Connect, Direct) based on transcript and metadata.
Deconstructs high-performing or viral videos to extract actionable creative insights from metadata and transcript.
Provides a high-signal briefing on events in a specific location and timeframe, backed by primary video sources and transcripts.
Extracts the strongest arguments from heated YouTube comment threads, identifying key battlegrounds and community consensus.
Saves time by autonomously reading transcripts, synthesizing arguments, and generating direct jump-links to key moments.
| name | industry-landscape-briefing |
| description | Equips sellers with macro industry trends by analyzing trending data and specific analyst/competitor channels. |
Objective: Equip an internal Google Seller with high-level, macro trends in a specific industry (e.g., Mobile Gaming, Fintech) before they meet with a client. Go beyond keyword spam and find actual industry movements.
Execution Steps:
get_date_range("week")).get_trending_videos tool. Provide a relevant video_category_id (e.g., "20" for Gaming, "28" for Science/Tech) and a region_code relevant to the seller's market. What is naturally rising to the top?search_channel_videos to pull exactly what that authority figure published this week.get_video_transcript on the top 2-3 videos returned from Steps 2 and 3. Do not just read titles. Synthesize the actual industry shift being discussed.generate_timestamp_url) to the exact moments the industry shifts are analyzed by creators.Next Actions: Ask the user if they want to publish this Briefing as a clean HTML asset using publish_file.