Brands turn to content series and Jimi Hendrix to improve AI search performance
Fender and Marshall have launched music‑focused content series aimed at surfacing in generative AI search answers such as ChatGPT and Google AI. The move reflects a shift where AI‑generated results become a new SERP, prompting brands to optimise content and structured data for visibility. AI‑search optimisation is emerging as a critical lever for advertisers.
The rise of AI search results as a new search engine, and brands enhancing visibility through content and structured data, suggests that our merchants need to re-evaluate their product information and content strategies to optimize customer acquisition via AI.
→ Read on Digiday
Inside Wirecutter’s push to diversify beyond affiliate revenue as AI reshapes discovery
Wirecutter is diversifying beyond affiliate commissions by launching advertising products that sit within AI‑driven discovery streams, including recommendation slots and sponsored content. The shift highlights how AI is changing the way users find products, and brands are eager for direct access to these AI‑curated pathways.
Wirecutter's diversification into AI-based recommendations and sponsored slots in response to changes in AI-driven search and discovery suggests we should also pursue opportunities to integrate dynamic ad products like RPP-EXP into AI-driven content feeds, allowing merchants direct access to AI-generated purchase paths.
→ Read on Digiday
“‘About showing value’: Marketers on balancing AI with human connection in ABM strategy”
B2B marketers say AI can scale account‑based marketing but stress that personal interaction remains essential for perceived value. AI automates data analysis and content creation, yet cannot replace relationship building.
B2B marketers emphasizing the importance of human relationships despite AI automating data analysis and content creation reminds us that even in developing AI products like TDA, human interaction and strategic insight remain essential for delivering ultimate value and building merchant relationships.
→ Read on marketingweek.com
“‘Just because you can doesn’t mean you should’: Lloyds top marketer on implementing AI”
Lloyds’ senior marketer warns that AI‑generated content can harm brand perception if not properly governed. He recommends a pilot on low‑risk assets, clear approval workflows, and aligning AI use with genuine business impact.
Lloyds' marketer warning about the brand risk of AI-generated content and the need for proper management emphasizes the importance of quality control, brand safety, and clear approval workflows for our AI-generated banners in TDA, suggesting we must pursue AI usage that leads to genuine business impact.
→ Read on marketingweek.com
Thrad Launches $1 Million Fund to Support the Next Generation of Conversational Advertising
Thrad announced “Monetisation Fund II,” a rolling program that commits up to USD 1 million to advertisers who want to experiment with AI‑driven conversational ads on its platform. The fund targets small‑to‑mid‑size advertisers, lowering the financial risk of adopting chat‑based purchase pathways and encouraging broader use of AI‑powered ad experiences.
Thrad's announcement of a fund to promote AI-driven conversational ads indicates new advertising opportunities in chat-based purchase paths, suggesting we should explore the potential of conversational commerce for enhancing the merchant experience of TDA-EXP and for future AI-driven brand budget acquisition strategies.
→ Read on ExchangeWire
C‑Centric Launches Cross‑Site Agentic Transfer
C‑Centric unveiled “Cross‑Site Agentic Transfer (X‑AT),” an agentic AI solution that lets brands deploy a trained AI agent across multiple websites, allowing users to converse and complete transactions directly within the chat flow. Advertisers can build a conversational conversion funnel that spans domains while retaining measurable performance signals.
C-Centric's cross-site AI agent solution demonstrates the potential for conversational commerce to complete transactions across domains, suggesting we should explore opportunities to help merchants build seamless AI-driven conversion funnels through external ad products like RPP-EXP.
→ Read on ExchangeWire
Google Updates AI Mode and AI Overview with More Links, Context, Carousels, and Creator Information
Google has enhanced its Search AI Overview by adding related links, contextual panels, carousel displays, and creator information, expanding the screen real‑estate occupied by AI‑generated content. This increase creates more competition for traditional top‑slot ads, prompting advertisers to adjust bidding and creative strategies for the new AI placements.
Google's AI Overview expanding its screen real estate in search results and intensifying competition with traditional top ad slots suggests that our core revenue pillar, RPP, will require merchants to re-evaluate their ad strategies and creatives to optimize for AI search.
→ Read on searchengineland.com
Hakuhodo and Hakuhodo DY ONE Launch AI Agent Product‑Data Extension Solution
Hakuhodo and Hakuhodo DY ONE have released a product‑data extension solution that enriches product attributes and images for AI agents. The richer data feed enables more relevant AI‑generated ad creatives and smarter automated bidding, accelerating ad‑creation automation.
Hakuhodo and Hakuhodo DY ONE's launch of a product data enrichment solution for AI agents highlights that rich product data is essential for improving the accuracy of AI-generated ad creatives and automated bidding, suggesting we should explore opportunities to support merchants in enhancing their product data to maximize the performance of AI-driven products like TDA.
→ Read on markezine.jp
The Era of AI‑Driven Product Search: How E‑Commerce Sites Must Evolve – Practical Strategies for Agentic Commerce
The article introduces “agentic commerce,” where generative AI agents act as shoppers, and advises advertisers to shift from keyword‑centric bidding to intent‑driven signals, use AI‑generated product copy, and apply real‑time personalization.
The shift to "agentic commerce," where generative AI agents act on consumer purchasing behavior, suggests advertisers must move from keyword-based to AI-indicated purchase intent bidding, and we should enhance real-time personalization and intent-based optimization by more deeply integrating our existing dynamic ad products like RPP and TDA-EXP with AI agents.
→ Read on MarkeZine
How Mid‑Size Brands Scale Creative Production 15‑fold with Generative AI
Brands such as Wyndham Hotels & Resorts, Opella, and BetMGM are building in‑house pipelines that use generative AI to produce massive volumes of digital creatives quickly. The approach addresses the need for varied assets across many product lines while keeping production time short.
The examples of mid-sized brands leveraging generative AI for large-scale in-house digital creative production validate the value proposition of AI-generated banners offered by TDA, suggesting we should further enhance the provision of AI-powered creative solutions for merchants with diverse product portfolios, enabling rapid and high-volume ad material creation.
→ Read on DIGIDAY日本版
User Local Launches AI-Powered Automatic Prompt Suggestions for LLMO Research in “User Insight”
User Local added a feature to its “User Insight” platform that automatically generates prompts for LLM‑based research, enabling faster creation of queries to measure brand mentions and market sentiment. This streamlines data collection and insight generation for advertisers.
User Local's launch of an AI-powered prompt suggestion feature for LLM-based research represents a new form of AI utilization that streamlines market research and self-mention measurement, suggesting we should consider accelerating AI-driven insight generation in our internal data analysis and strategy formulation processes.
→ Read on Web担当者Forum
How AI is Transforming E‑Commerce Marketing: Asakura’s Latest Case and New Rules for Leveraging AI Search for Customer Acquisition
The article examines Asakura’s recent use of AI‑enhanced search to improve customer acquisition, showing that AI search boosts product discovery and intent capture, leading to higher ad efficiency. It outlines practical steps for marketers to adopt AI search tools.
Askul's case study demonstrating the changing customer acquisition methods leveraging AI search emphasizes that AI search is becoming a "new normal" for enhancing product discovery and purchase intent matching to optimize ad effectiveness, prompting us to re-recognize the necessity of adapting ad products like RPP and RPP-EXP for AI-driven customer acquisition.
→ Read on Web担当者Forum