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  • Say Goodbye To SEO? 😢 Google On Ads And AI Overviews 🤖 Reddit Launches Dynamic Product Ads To All 🗣️

Say Goodbye To SEO? 😢 Google On Ads And AI Overviews 🤖 Reddit Launches Dynamic Product Ads To All 🗣️

Also: Google Rolls Out Simplified Enhanced Conversions

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Say Goodbye To SEO? 😢 Google On Ads And AI Overviews 🤖 Reddit Launches Dynamic Product Ads To All 🗣️

Also: Google Rolls Out Simplified Enhanced Conversions

Happy Friday Marketing Engineers!

Today:

🤖 Inside Anthropic's First Developer Day
✍️ OpenAI May Soon Let You 'Sign In With ChatGPT' For Other Apps
💼 How To Effectively Leverage Influencers In B2B Marketing
🔎 Programmatic SEO: SEO For Literally Everything But Make It With Robots
4️⃣ The 4 Principles Of Modern Marketing
🦋 Becoming An AI-Native Company

🚀 Ada{m}

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🗞 Marketing News

SEO is becoming obsolete as generative AI search allows users to get answers directly through conversational AI rather than relying on traditional search results, making the optimization of blue links less relevant as they disappear. Marketers must now shift focus to LLMO (Large Language Model Optimization), turning their websites into comprehensive knowledge bases that AI can effectively scrape and synthesize to answer user questions, with less emphasis on visual design and more on functional content. The marketing industry needs to adapt immediately to this transparent new approach, where SEO specialists can directly ask AI algorithms how they work rather than trying to decode the secretive changes that search engines like Google used to make.

Google Ads now offers new placement opportunities with ads appearing above, below, or within AI Overviews, creating additional touchpoints beyond traditional search results. Unlike conventional search advertising, these ads are matched against both the user's query and the AI Overview content itself, enabling more contextually relevant advertising even for non-commercial searches. To capitalize on these opportunities, Google recommends using AI-powered solutions like broad match keywords, Performance Max campaigns, and smart bidding, since AI Overviews typically trigger on complex queries that traditional exact-match targeting might miss.

Reddit has officially launched Dynamic Product Ads (DPA) to general availability in Reddit Ads Manager, moving the product out of beta to help advertisers match their product catalogs to high-intent shoppers based on contextual shopping signals. The platform is delivering strong performance results, with DPA campaigns showing 2x higher Return on Ad Spend compared to standard conversion campaigns and case studies demonstrating significant conversion lifts for brands like Lenovo and VistaPrint. Since the beta launch in April 2024, Reddit has made substantial improvements to both performance and usability, including enhanced ML targeting models that deliver 94% higher ROAS and better catalog management tools that support millions of products.

Google has simplified Enhanced Conversions setup in Tag Manager by introducing a new sitewide tag-level setting for configuring user-provided data, removing the previous checkbox method from individual event tags while still allowing configuration at both event and Google tag levels. This change streamlines the technical process for advertisers and agencies who need to manage user data settings across their campaigns. The Enhanced Conversions feature continues to improve conversion measurement accuracy by using hashed first-party customer data like email addresses to better match conversions with Google users.

🤖 AI

Anthropic's first Developer Day revealed the company's bold vision that AI agents will eventually replace human workers in all jobs, with CEO Dario Amodei predicting the first billion-dollar single-employee company by 2026 and noting that over 70% of Anthropic's own code is already written by Claude. The company has rapidly scaled to 1,300 employees and a $61.5 billion valuation, transforming from a cautious AI safety advocate into a major industry player ready to deploy autonomous AI systems at scale. Despite this aggressive growth, Amodei emphasized the central challenge of balancing fierce competition with responsible AI deployment, rejecting the notion that safety-focused companies must be slower to market. 

OpenAI is developing a "Sign in with ChatGPT" feature that would allow users to log into third-party apps using their ChatGPT credentials, similar to existing options from Google, Apple, or Microsoft. This move represents part of OpenAI's broader strategy to leverage ChatGPT's 600 million monthly active users and expand into new consumer areas like online shopping, social media, and personal devices to compete with major tech companies. The company is actively testing the feature through a preview in their Codex CLI tool while surveying developers across companies of all sizes to gauge integration interest, though no official launch date has been announced. 

🧠 Hacks & Tactics

Influencer marketing has gained importance in the B2B sector, especially on platforms like LinkedIn, where it leverages the vast potential of the creator economy to enhance engagement and drive business growth. Effective B2B influencers are typically industry experts or trusted thought leaders who prioritize credibility and authenticity, often utilizing micro-influencers or internal employees to connect authentically with niche audiences. By strategically implementing diverse content formats and targeted advertising, such as Thought Leader Ads, B2B companies can build trust, reach their ideal audience, and achieve significant business results through well-executed influencer partnerships.

Programmatic SEO leverages AI and automation to create and optimize large volumes of hyper-specific web pages targeting long-tail keywords, enabling scalable and precise alignment with user search intent. Implementation strategies include using dynamic templates for content creation, automating link building and reputation management, and establishing a robust tech stack to support these initiatives. Real-world examples like Make.com, Yelp, and ReplyGuy illustrate how businesses successfully utilize programmatic SEO to drive substantial growth and enhance visibility through tailored, data-driven approaches.

Modern marketing is evolving around four key principles, starting with the understanding that media encompasses every possible consumer touchpoint beyond traditional advertising, while AI has become a foundational element that powers everything from strategy to optimization. The industry's success increasingly depends on cultural integration rather than interruption, as demonstrated by campaigns like McDonald's Grimace Birthday promotion and Walmart's authentic marketing approach. Finally, there's a growing emphasis on marketing as a vital driver of value creation, with modern marketers focusing on measurable business outcomes and profit growth rather than surface-level engagement metrics.

🏗️ For Founders

AI-native companies must integrate AI directly into existing workflows and tools rather than treating it as a separate application, making it feel like a natural upgrade to how work gets done. They need to fundamentally redefine performance by rewarding employees who use AI to shape outcomes and solve problems, rather than celebrating manual effort and busy work. Finally, successful AI adoption requires systematic organizational support through helpdesks, champion networks, clear guidelines, and ongoing measurement of real usage metrics across teams.

🔮 The Future

During economic downturns, brands should protect marketing as a strategic investment rather than cutting budgets, as companies that maintain marketing spend recover three times faster and emerge stronger when conditions improve. As confidence drops and budgets tighten, marketing leaders should shift toward performance-driven, measurable campaigns that offer clear ROI while using real-time data to make quick adjustments to messaging and targeting. Throughout this volatility, clear communication with teams, clients, and partners about budget reallocations and strategy changes is essential, along with the agility to quickly adapt marketing calendars as supply chain disruptions and policy changes create unexpected challenges.

Modern advertising copy is declining in quality as brands overthink their messaging. Many agencies now deliberately create confusing or provocative ads because being talked about negatively is considered better than being ignored entirely. Meanwhile, the advertising industry has shifted away from specialized copywriting expertise toward generalist "creatives" focused on social media, while AI threatens to replace human writers altogether, leading to a decline in the craft of memorable advertising copy.

The tech industry repeatedly follows a predictable cycle where new technologies promise to eliminate developers but instead transform them into higher-level, better-paid specialists—from NoCode creating NoCode experts to cloud computing turning sysadmins into DevOps engineers. AI coding assistance represents a fundamentally different shift because it accelerates the creation of code "liability" at unprecedented speed, making the ability to strategically manage and minimize that liability exponentially more valuable. While AI excels at writing individual functions, it fails at the irreplaceable human skill of system architecture—determining what should be built and how systems should interact—which becomes even more critical as AI makes it easier to bake architectural mistakes into code at lightning speed.

AI has fundamentally shifted from optional to essential in content creation, with over 80% of creators now integrating it into their workflows and nearly 40% using it end-to-end from ideation to delivery. While video dominates as the primary content format, creators are adopting multi-modal "AI stacks" of 3+ tools that enable them to efficiently repurpose content across text, audio, and video formats. Professional functions like HR, L&D, and education are driving strategic adoption at near-universal rates, using AI primarily for time savings and scalable content production, though cost and customization concerns remain key barriers.

👩‍🏫 Vocab

Consumer Behavior: The study of how individuals and groups choose, buy, and use products and services. It examines the emotional, mental, and behavioral responses of consumers. Understanding consumer behavior helps create more effective marketing strategies.

Example: A grocery store studies shopping patterns and finds people buy more fresh produce when it's displayed at the entrance.

Personalization: The practice of tailoring marketing content and experiences to individual users based on their data and behavior. It delivers relevant content to the right person at the right time. Personalization makes marketing more effective by matching customer preferences and needs.

Example: Spotify creates personalized "Discover Weekly" playlists based on each user's listening history.

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That's it for this week! See you next week. 😎

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