Marketing

Documented AI practices. Highest Brain Score first.

JSON API
Filters

11 use cases

Brain Score, descending

Draft entries have not yet been human-reviewed. Claims and results belong to the linked sources.

The Wild Hare and agency No Biscuits used Gemini for character preparation and Veo 3 for animated promotional clips. The founder reports over 20 assets produced in an afternoon at under 10% of a traditional agency video's cost. A finished campaign video is linked.

Gemini; Veo 3MarketingUnited Kingdom
8/10 brain cells
Read use case

Fullstory uses Gemini to summarize meetings and turn takeaways into short video scripts. Staff then create narrated videos with Google Vids for customer communication, prospecting and event follow-up. The customer describes faster production without quantifying savings.

Gemini; Google Vids; Google WorkspaceMarketingUnited States
7/10 brain cells
Read use case

Cox Automotive uses Claude in VinSolutions CRM to draft personalized emails and texts based on shopping interests and verified vehicle data. Users review generated content. Cox reports more than twice as many lead responses and test-drive appointments, without publishing a controlled evaluation.

Claude, Amazon Bedrock, VinSolutions CRMMarketingNorth America
6/10 brain cells
Read use case

Drive Social Media built Project Phoenix, a 95-step Zapier workflow that collects company and marketing data for sales preparation. It combines AI steps, ChatGPT and external APIs. The story documents production use; it does not provide an isolated time-saving measurement for Phoenix.

Zapier; AI by Zapier; ChatGPT; Apify; Google SheetsMarketingUnited States
6/10 brain cells
Read use case

JR Kyushu's sales team uses Gemini to draft landing pages, add booking-search functionality and improve SEO internally. The customer reports an SEO score rising from roughly 40 to 70. The article does not establish a resulting increase in bookings.

Gemini; Google WorkspaceMarketingJapan
6/10 brain cells
Read use case

Lokalise integrates Claude into its translation orchestration and editor, where translators accept, revise or reject suggestions. An internal A/B test reported an 82.6% acceptance rate for Claude 3.5 Sonnet. Broader 80% cost-saving claims concern Lokalise's multi-model platform.

Claude 3.5 Sonnet, LokaliseMarketingEurope
6/10 brain cells
Read use case

MOTHERHOUSE's marketing team configured a Gemini Gem with its brand values to review social posts and newsletters. The customer story reports substantially less review work, without quantifying the marketing-specific savings.

Gemini Gems; Google WorkspaceMarketingJapan
6/10 brain cells
Read use case

Argentina-based AdGoat uses Gemini with Cloud Run for content analysis, bidding and audience targeting. Google describes the deployment but gives no quantified campaign improvement.

Gemini API; Gemini Enterprise; Cloud RunMarketingArgentina
5/10 brain cells
Read use case

Advolve uses Claude to orchestrate advertising content, campaign deployment, validation and optimization. Named customers include Brazilian companies iFood and Cogna. The vendor story reports 90% less operational work and 15% higher return on ad spend without publishing an independent evaluation.

Claude APIMarketingBrazil
5/10 brain cells
Read use case

incident.io's marketing chief used Claude Code to build PagerTron, a game with stored high scores, for a campaign aimed at Anthropic. The post links the campaign and shows the game. It documents a shipped marketing asset but provides no measured conversion or time-saving result.

Claude CodeMarketingNot specified
5/10 brain cells
Read use case

Orange uses Claude in a manga-localization pipeline combining translation, image processing and professional editing. The company reports generation time dropping from more than ten hours to under two per volume. It says translators retain 50% to 75% of Claude's proposed translations.

Claude 3 Opus, Claude 3.5 SonnetMarketingNot specified
5/10 brain cells
Read use case

Browse by topic

Tools
Categories
Regions

Data as of: 2026-10-31. About the scoring