--- title: "📣 Where is the golden traffic with 90% higher clicks? Adobe reveals the incredible value of AI search recommendations: AI Marketing Daily" description: "Customers referred by AI are actually more willing to spend than average consumers! In today's \"AI Marketing Daily,\" Mu Yan will break down Adobe's latest e-commerce report to see where these high-value new customers are coming from. We will also discuss Google's multi-turn conversational ads and the in-video AI chatbot YouTube is testing. How can you seize this wave of conversational commerce opportunities? We'll tell you in just a moment." canonical_url: "https://blog.markkulab.net/en/ai-marketing/ai-marketing-2026-10-31" author: "Mark Ku" author_url: "https://blog.markkulab.net/en/author/mark-ku" site: "Mark Ku's Tech Notes" date_published: "2026-10-31T02:00:00.000Z" category: "AI Marketing Daily" tags: ["ai-marketing", "podcast", "AI 行銷", "AI行銷", "Adobe", "GoogleAds", "YouTube", "Meta", "Amazon", "GEO", "SEO"] language: "en" license: "CC BY 4.0" license_url: "https://creativecommons.org/licenses/by/4.0/" attribution: "when reusing or quoting, credit the author and link back to the original" --- # 📣 Where is the golden traffic with 90% higher clicks? Adobe reveals the incredible value of AI search recommendations: AI Marketing Daily ## Introduction Customers referred by AI are actually more willing to spend than average consumers! In today's "AI Marketing Daily," Muyan will break down Adobe's latest e-commerce report to see where these high-value new customers are coming from. We will also discuss Google's multi-turn conversational ads and the in-video AI chatbot that YouTube is currently testing. How can you seize this wave of conversational commerce opportunities? I'll tell you in just a moment. ## Today's AI Marketing Focus ### 1. Adobe Report Reveals: AI Search Referrals Become E-Commerce Goldmine, Conversion Rates Surge 90% - **What Happened**: According to Adobe's latest US retail data released on October 29, visitors referred to retail sites by AI platforms like ChatGPT, Perplexity, and Gemini generated 83% higher Revenue Per Visit (RPV) than non-AI visitors. The report also claims that these AI-referred visitors have a 90% higher conversion rate, spend 73% more time on site, and have a 53% higher add-to-cart rate. - **Marketer's Take**: This finding confirms that while traffic from Generative Engine Optimization (GEO) is currently small in scale, it is a high-intent, high-value goldmine. Marketers can no longer just look at traffic volume; they must view GEO as a critical strategy for driving high-intent conversions. - **Actionable Next Steps**: First, review your website's current referral traffic sources to see if there are traces of AI search platforms, and evaluate the actual average order value (AOV) and conversion performance of these visitors. - **Source**: Search Engine Land () ### 2. Google Expands AI-Powered Ads to 10 Countries, Launches "Multi-Turn Ads" in the US - **What Happened**: Google announced the expansion of its AI-powered ads to 10 new countries, including Australia, Canada, and India, and launched brand-new "multiturn ads" in the US. This new format allows ads to appear within the context of follow-up questions during user conversations with AI. Google's data shows that queries in its AI-powered search are, on average, three times longer than traditional searches. - **Marketer's Take**: This means consumer search behavior is shifting toward a "conversational" model, making traditional single-keyword thinking obsolete. We must start planning for longer-tail ad creatives that closely mimic everyday conversation to ensure we continue to be recommended by AI during multi-turn follow-ups. - **Actionable Next Steps**: Compile a list of common follow-up questions from customer service and social media, and integrate these Q&A logics into your future copywriting and website content. - **Source**: Unite.ai () ### 3. YouTube Tests In-Video AI Chatbots, Turning One-Way Viewing into Two-Way Conversational Commerce - **What Happened**: On October 30, YouTube was spotted testing a brand-new ad format that provides preset AI-suggested questions below video ads. When viewers click these prompts, an AI chatbot opens directly within the ad unit to answer questions about the brand's products or services in real time. - **Marketer's Take**: Connected to Google's Business Agent initiatives, this feature signifies that video ads are shifting from one-way attention-grabbing to real-time conversational commerce. In the future, marketers must prepare richer, more structured Q&A databases for AI training, or the chatbots may fail to answer customer questions accurately. - **Actionable Next Steps**: Audit your brand's existing FAQs and ensure this information is structured and organized on your official website. - **Source**: PPC News Feed () ### 4. Meta Discloses AI Ad Ranking System Upgrades, Boosting Q2 2024 Conversions by 15.7% - **What Happened**: On October 28, Meta disclosed for the first time the underlying upgrade details of its AI ad ranking systems (including Andromeda, GEM, and GenRecs). The company claimed that these model optimizations brought Facebook advertisers an 8.3% increase in click-through rates and a 15.7% boost in conversion rates in Q2 2024. - **Marketer's Take**: This update shows that Meta's AI can accurately predict and match potential audiences even when the ad creative has absolutely no historical data. Marketers should spend their time producing highly differentiated creatives and assets rather than frequently adjusting audience settings manually, as the AI's ability to find the right people has surpassed human capability. - **Actionable Next Steps**: Reduce overlapping audience segments in your ad accounts and try broadening your audience targeting, letting the system's AI match the right people based on creative characteristics. - **Source**: Social Media Today () ### 5. Amazon Launches Conversational Ad Agent, Offering One-Click Managed Omnichannel AI Ad Delivery - **What Happened**: Following its unBoxed conference in late October, Amazon expanded testing of "Amazon Ads Agent," integrating its DSP and advertising console into a single conversational AI interface. It also introduced "full-funnel campaigns," where sellers only need to set a single goal, and the system automatically allocates budget and optimizes video and display ads. - **Marketer's Take**: Although the company claims that full-funnel campaigns increased long-term return on ad spend (ROAS) by 67% and reduced customer acquisition costs (CAC) for new customers by 29% in testing, marketers must not completely check out. We must establish a "human-in-the-loop" review mechanism to avoid losing control by handing the budget entirely over to AI autopilot. - **Actionable Next Steps**: If you run Amazon ads, check if this testing permission has appeared in your console, and consider running a test with a small, non-core budget first. - **Source**: JumpFly () ### 6. Google Ads Launches New "All Conversions" Tab to Spot Tracking Errors in 10 Minutes - **What Happened**: Starting October 28, Google Ads is gradually rolling out a brand-new "All Conversions" submenu. This feature consolidates all conversion actions, tracking statuses, counting methods, and attribution models in your account into a single table, eliminating the tedious clicking required in the past. - **Marketer's Take**: Smart Bidding relies heavily on accurate conversion signals; any double-counting or configuration errors will lead to AI misjudgments and wasted budget. This new tab helps us complete conversion audits in a very short time, ensuring the ad engine is fed clean data. - **Actionable Next Steps**: When you get to the office tomorrow, open your Google Ads account, go to the new "All Conversions" tab, and spend 10 minutes checking for double-counted or broken conversion actions. - **Source**: Search Engine Roundtable () ### 7. Over-Optimizing for AI Search? MarTech Warns: Watch Out for Drops in Both Brand Trust and Rankings - **What Happened**: On October 29, industry media outlet MarTech published a warning that if marketers blindly chase citations in AI search engines like AI Overviews or ChatGPT (GEO) by using AI to generate content at scale, they risk a decline in brand trust. According to research from SEO platform Zyppy, up to 86% of top-ranking pages in Google Search are still written by humans, while AI-generated pages generally rank lower. - **Marketer's Take**: This serves as a reminder that we must adopt a "Human-First SEO" strategy. AI should be used to assist with structuring outlines and data research, but core perspectives and unique insights must still be written by domain experts to maintain the E-E-A-T authority that Google values. - **Source**: MarTech () ## Conclusion The most important takeaway today is that "conversational commerce" is shifting from a trend to an active reality. Whether it is Google's multi-turn ads or YouTube's in-video chatbot, we are being forced to reorganize our brand knowledge bases. The next metric to watch is whether your website's referral traffic from AI platforms is growing steadily, which will determine whether you can seize the first-mover advantage in this high-value dividend wave. I'm Muyan, and I'll see you tomorrow. --- ## About this article and its author Originally published on [Mark Ku's Tech Notes](https://blog.markkulab.net/en/ai-marketing/ai-marketing-2026-10-31) License: [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) — when reusing or quoting, credit the author and link back to the original ### About the author **[Mark Ku](https://blog.markkulab.net/en/author/mark-ku)** — Software engineer - 10+ years as a software engineer - Built North-American e-commerce and AI SaaS subscription billing ### Free tools built by the author All of these are free to use: - [Free PDF Sign Tool](https://blog.markkulab.net/en/tools/pdf-sign): Online PDF sign tool — draw, type, or upload a signature, then drag, resize, and download. Everything runs in your browser; nothing is uploaded. - [VS Code Refactory](https://blog.markkulab.net/en/tools/refactory): Refactory is a VS Code refactoring extension: 34 actions plus a 37-rule code-smell inspection layer with a Code Health dashboard, across 18 languages, backed by 534 tests. It learns your repo's conventions: where interfaces live, where DI is registered, whether 'use client' belongs. It ranks files by git churn × complexity so you know what to fix first, and hands any smell to the Claude Code already on your machine. Free to use, and your source never leaves your computer. - [DB-Kit Database Manager](https://blog.markkulab.net/en/tools/db-kit): DB-Kit is a lightweight, cross-platform database manager built with Tauri + Rust + React. Manage MySQL, MariaDB, PostgreSQL, SQL Server, Oracle, SQLite, MongoDB, Redis, Kafka, Elasticsearch and RabbitMQ from one consistent interface: passwords encrypted in the OS keychain, SSH tunnels, full CRUD, a visual query builder, stacked multi-statement result sets, cross-connection data transfer, schema & data compare with sync SQL and schema snapshots, Excel / CSV import & export, visualized execution plans, ER diagrams, scheduled backups, SQL stress testing with p50–p99 latency percentiles, a 15-rule SQL review engine, Review & Run (AI review plus per-statement backups and an auto-generated rollback script), Kafka message browsing with monitoring & alerts, an SSH terminal with SFTP / FTP, Docker / Kubernetes, remote desktop (RDP / VNC / RustDesk), file / folder compare, stored procedure integration tests, six UI languages, a built-in AI assistant (a local CLI or any Anthropic / OpenAI-compatible API; natural-language SQL, AI review and tuning advice) and the dbk CLI. Free and open source (MIT), with installers for Windows, macOS and Linux. - [VS Code Super Mermaid](https://blog.markkulab.net/en/tools/super-mermaid): Super Mermaid is a VS Code extension for beautiful Mermaid diagrams out of the box: auto-colored live preview, mouse pan & zoom, high-res PNG / SVG export, 21 templates and multiple themes. Free and open source (MIT). - [React Super Mermaid](https://blog.markkulab.net/en/tools/react-super-mermaid): react-super-mermaid is an open-source React component library: render beautiful Mermaid diagrams with a single , with built-in colorful / sketch themes, pan & zoom, in-diagram search, and high-res SVG / PNG export. Lightweight, SSR-safe, fully typed. 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No sign-up, nothing uploaded to a server, and mermaid.live share links work as-is. - [React Intl Phone Number](https://blog.markkulab.net/en/tools/react-intl-phone-number): react-intl-phone-number is an open-source React component: framework-agnostic and antd-free, with E.164 in/out, a searchable flag / country-code dropdown, configurable validation levels (strict / mobile-strict / loose), themeable CSS, and i18n — phone logic powered by google-libphonenumber. Lightweight and fully typed. Free and open source (MIT). - [Uptime Kuma Cluster](https://blog.markkulab.net/en/tools/uptime-kuma-cluster): Turn single-node Uptime Kuma into a highly available cluster: OpenResty + Lua smart load balancing, shared MariaDB state, health checks and automatic failover, plus cluster-management REST APIs. One Docker Compose command to start. Free and open source (MIT). - [AI Podcast Cut](https://blog.markkulab.net/en/tools/ai-podcast-cut): Drop in a recording and it removes fillers and stutters, levels loudness segment by segment, and sends a second agent to review every cut. Cut points snap to word boundaries and zero crossings, every splice gets a fade, and sentence-end breaths are preserved. Desktop app for Windows, macOS and Linux. MIT licensed; the Windows installer bundles ffmpeg. - [AI Video Cut](https://blog.markkulab.net/en/tools/ai-video-cut): Pick something in your video: type it (face, license plate, phone screen, logo), click points or drag a box, or let Claude Code / Codex pick it. AI Video Cut tracks it frame by frame, then mosaics or blurs it, recolors it, pins stickers and text to it, swaps a screen or poster for your own image or video, or removes it using background that other frames actually captured. Plus sequence editing, local captions and an AI assistant. Free, open-source (MIT) Windows desktop app (macOS / Linux experimental) that runs locally, nothing uploaded. - [open-pos restaurant POS](https://blog.markkulab.net/en/tools/open-pos): One computer and one receipt printer is enough to open the shop. Your data lives on your own disk, no subscription, no lock-in, MIT licensed. Money is integer New Taiwan dollars with tax split by the statutory formula, so sales + tax always equals the total. Printing goes straight over ESC/POS on TCP 9100, with no vendor driver. Tauri + Rust + SQLite desktop app, v1.0 in development. - [.NET e-commerce API template](https://blog.markkulab.net/en/tools/dotnet-ecommerce-api): An e-commerce backend API template built on .NET 10: Controller → Service → Repository layering, Autofac convention-based registration, SqlSugar for MySQL / MariaDB and SQL Server, Redis cache and message queue, Hangfire jobs, JWT auth, and an extensible payment provider module (ECPay, Newebpay). Apache 2.0. - [Open Token Monitor team AI usage](https://blog.markkulab.net/en/tools/open-token-monitor): Collect token usage and equivalent cost from every employee's AI coding tools into a hub you host yourself: PostgreSQL, org roster, dashboards compared by company and department, and a reports API. Electron and Rust/Tauri clients upload every 30 minutes. MIT licensed, one Docker command. - [ai-security-monitor defensive security](https://blog.markkulab.net/en/tools/ai-security-monitor): Your website is live. Who checks its certificates, security settings and known vulnerabilities? A self-hosted Security Hub brings website scans and host monitoring together, deduplicates findings and compares scans after fixes. ### Daily podcasts - [Mark's Tech Insights — Daily AI News](https://blog.markkulab.net/en/category/tech-news): Daily curated AI and tech trends. 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