Link Archive

// december_2025 (28)

2025-12-25

AI Referral Traffic Only 1% of Web Traffic, ChatGPT Dominates at 87%

★ max(signal) by Digiday Research t ≈ 5 min · AI Traffic · Data Analysis · AEO
Δ +3910 read ↗
TL;DR — Cloudflare and Conductor data shows AI platforms drive only 1% of web traffic across 10 major industries. ChatGPT accounts for 87.4% of all AI referral traffic. Perplexity has the worst crawl-to-refer ratio at 700:1.

OpenAI Exploring Intent-Based Ads Inside ChatGPT Responses

by Anu Adegbola t ≈ 3 min · AI Ads · ChatGPT · Monetization
Δ +3740 read ↗
TL;DR — OpenAI is building ad formats for ChatGPT using intent-based monetization. Instead of traditional display ads, ChatGPT will make sponsored recommendations within conversations. Sam Altman tasked the team with making ads just as helpful as organic responses.

Google December 2025 Core Update: Most Disruptive of the Year

by Glenn Gabe, Dipti Arora t ≈ 6 min · SEO · Google Update · Rankings
Δ +3740 read ↗
TL;DR — The December 2025 core update is causing the largest ranking swings of the year. Google confirmed smaller unannounced core updates happen continuously. UX signals like ad aggressiveness and site satisfaction now clearly influence outcomes.

Yoast December 2025 SEO Update: AI Took Over Search This Year

by Carolyn Shelby, Alex Moss t ≈ 5 min · SEO · AI Search · E-E-A-T
Δ +3710 read ↗
TL;DR — Yoast year-end recap: Being cited in AI overviews now matters more than ranking #1. E-E-A-T is non-negotiable. Publisher deals reshaped content licensing. The shift from rankings to retrieval is complete.

Amazon Faces Leader's Dilemma on AI Shopping Agents

by CNBC t ≈ 5 min · Agentic Commerce · E-commerce · AI Agents
Δ +3610 read ↗
TL;DR — McKinsey projects agentic commerce will generate $1 trillion in US retail revenue by 2030. Amazon is blocking AI agents from its site while Walmart, Target, and Shopify partner with OpenAI. When consumers buy through ChatGPT, OpenAI collects a fee per transaction.

Gemini AI Function Now Live in Google Sheets Cells

★ max(signal) by Google Workspace t ≈ 4 min · AI Tools · Automation · Productivity
Δ +4210 read ↗
TL;DR — Google launched the =AI() function in Sheets. Type a prompt in any cell to generate text, summarize data, or categorize rows at scale. Supports multi-step tasks like deleting archived rows, inserting columns with dropdowns, and bulk find-and-replace.

2025-12-24

Anthropic Launches Agent Skills as Open Standard

★ max(signal) by Esther Shittu t ≈ 4 min · AI Tools · Automation · Enterprise AI
Δ +4070 read ↗
TL;DR — Anthropic released Agent Skills as an open standard, making Claude skills portable across ChatGPT, Cursor, and other platforms. Includes prebuilt integrations with Canva, Notion, Figma, and Atlassian.

Profound Launches Workflows for AI Search Optimization

by Profound PR t ≈ 3 min · AEO · Content Automation · AI Tools
Δ +3940 read ↗
TL;DR — Profound launched Workflows, a no-code automation platform for Answer Engine Optimization. Plaid, Stripe, and MongoDB are early customers using it to build content workflows and AEO reports at scale.

December 2025 SEO Update: AI Search, Publisher Deals, llms.txt

by Carolyn Shelby, Alex Moss t ≈ 6 min · SEO · AI Search · Technical SEO
Δ +3710 read ↗
TL;DR — Search Console now shows YouTube and Reddit traffic. AI-powered insights suggest questions to analyze data. Google confirmed llms.txt is treated like a text file with no ranking guarantee.

AI Search Growing, But SEO Fundamentals Still Drive Most Traffic

by Rob Tindula t ≈ 5 min · SEO · Data Analysis · Strategy
Δ +3610 read ↗
TL;DR — AI platforms drive only 2-3% of organic traffic compared to Google. Teams overinvesting in AI optimization are underperforming on proven SEO tactics that still deliver measurable results.

Salesforce Walks Back Agentic AI Pitch for Agentforce

by AdExchanger t ≈ 4 min · Enterprise AI · Reality Check · Automation
Δ +2960 read ↗
TL;DR — Salesforce now tells customers Agentforce works best with old-school if-then automation rather than LLM reasoning. Website now promises to eliminate the inherent randomness of generative AI.

2025-12-23

Automated QA and Guide Generation with AI Agents

★ max(signal) by Paige Bailey t ≈ 2 min · Agents · QA · Workflow
Δ +890 read ↗
TL;DR — Agents can navigate websites to identify user journeys and auto-generate tutorials with screenshots. A fast path for QA and documentation.

The Gap Isn’t Intelligence — It’s Architecture

by João Moura t ≈ 2 min · Agentic Systems · Sales AI · Architecture · Human-in-the-Loop
Δ +740 read ↗
TL;DR — A production-grade agentic architecture powering every sales call: extract context, research, hallucination checks, generate outputs, keep humans in the loop, and continuously iterate. Proof that real AI value comes from system design—not raw model intelligence.

Another Cool AI Tool

by Tool Maker t ≈ 3 min · Tools
Δ +300 read ↗
TL;DR — Short description of what this tool does.

Marketing AI Agents Are Quietly Replacing Ops Playbooks

by Andrew Chen t ≈ 3 min · Marketing AI · Agents · MarTech Ops
Δ +1240 read ↗
TL;DR — Teams are moving from static SOPs to agent-driven execution—campaign setup, QA, and optimization handled end-to-end by AI with humans supervising.

Reddit Marketers Ask: Should AI Own Attribution Now?

by r/marketing community t ≈ 4 min · Attribution · Analytics · AI Strategy
Δ +860 read ↗
TL;DR — A heated thread debating whether LLMs should replace rules-based attribution—key insight: trust breaks without explainability.

Inside a $2M ARR AI Copilot Built for Growth Teams

by Pieter Levels t ≈ 2 min · AI Tools · SaaS · Growth
Δ +1530 read ↗
TL;DR — A lean breakdown of how a small team shipped an AI growth copilot—focusing on narrow jobs-to-be-done beats general-purpose marketing AI.

The Gap Isn’t Intelligence — It’s Architecture

★ max(signal) by João Moura t ≈ 2 min · Agentic Systems · Sales AI · Architecture · Human-in-the-Loop
Δ +740 read ↗
TL;DR — A production-grade agentic architecture powering every sales call: extract context, research, hallucination checks, generate outputs, keep humans in the loop, and continuously iterate. Proof that real AI value comes from system design—not raw model intelligence.
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