I’m excited to share some fantastic news for advertisers using Google Ads! They’ve introduced a new feature that lets us scale AI-generated ads quickly while keeping our brand’s voice consistent and under our creative control.
Google is granting us more influence over AI-generated ad copy, paving the way for us to expand our campaigns efficiently without compromising our brand consistency.
What’s happening: Google Ads is testing a beta feature where we can reuse text guidelines from existing campaigns. This means we don’t have to start from scratch each time, simplifying the process of maintaining brand rules.
How it works: With just one click, I can apply the approved tone, style, and messaging rules from one campaign to another, keeping AI-generated ads on-brand and cutting down on setup time.
Why we care: This feature is a game-changer, allowing me to launch campaigns faster while ensuring brand consistency across various accounts with multiple campaigns running at once.
Between the lines: It’s clear there’s an increasing demand among us marketers to “train” AI systems. This shift allows us to turn brand guidelines into reusable inputs, steering automation with more precision.
Bottom line: AI is accelerating the ad creation process, but what sets us apart is maintaining control, and Google is starting to return more of that control to us advertisers.
First spotted: This update first came to my attention through Paid Media expert Arpan Banerjee, who shared his find on LinkedIn.
I’ve come across some fascinating findings that demonstrate the prowess of human-written content on Google. According to data from Semrush, it turns out that content crafted by us, humans, stands a significant chance of claiming the top spot in Google’s search results, unlike its AI-generated counterpart.
The Semrush study, analyzing 42,000 blog posts, revealed that human-written content dominates the No. 1 position on Google 80% of the time. In comparison, purely AI-generated pages manage to capture this coveted spot only 9% of the time.
The details. Semrush conducted an analysis of 20,000 keywords and their top 10 results, utilizing an AI detector to classify the content.
Human-authored pages outshined both AI-generated and mixed content across all top 10 positions.
The gap was most pronounced at Position 1, where human content had an 8x higher likelihood of ranking.
Meanwhile, I noticed that AI-generated content tended to appear more frequently in the lower spots on Page 1, with a nearly double increase from Positions 1 to 4.
Yes, but. AI detection tools, as widely acknowledged, can be inconsistent. This inconsistency often leads to misclassifications between human and AI-generated content, introducing a degree of “fuzziness” in these classifications.Why we care. While AI-generated content can occasionally perform well, the data suggests that the insights and intuition of human writers still drive superior results. For competitive queries, originality, expertise, and sound editorial judgment remain valuable advantages.Perception vs. data. It’s intriguing that 72% of SEO professionals regard AI content as performing as well as or even better than human content. Yet, the actual ranking data clearly indicates a strong advantage for human-written content at the top.How teams use AI. It doesn’t surprise me to find that AI is widely adopted, especially in creating a hybrid workflow:
A substantial 87% of teams retain significant human involvement during content creation.
64% employ a human-led, AI-assisted approach.
AI proves most beneficial in research, drafting, and optimization stages.
However, AI usage noticeably declines for multimedia, localization, and tasks requiring heightened judgment.
What’s driving adoption. While AI speeds up output, it doesn’t consistently enhance content quality.
73% of respondents highlighted faster production as AI’s primary benefit.
Yet, only 19% asserted that it improves content quality.
About the data: The analysis’s foundation lies on 42,000 blog pages from 200,000 URLs associated with 20,000 keywords. GPTZero was used to classify content for this study, which also includes insights from a survey of 224 SEO professionals involved in content and search.The study. Does AI content rank well in search? [Survey + Data study]
Welcome to the ultimate guide on Generative Engine Optimization (GEO)! As we move into 2026, knowing how to optimize for AI-driven platforms like ChatGPT, Gemini, Perplexity, and Claude is crucial. This guide will help you ensure that your brand is easily discovered in AI-generated responses.
Imagine having the skills to make your brand the first choice for AI-powered searches. With our comprehensive insights, you’ll learn how to elevate your visibility across key AI platforms and gain a competitive edge.
Whether you’re a seasoned marketer or new to AI optimization, this guide offers strategies that align with both current trends and future predictions. By mastering Generative Engine Optimization, you’re setting the foundation for sustainable success in a rapidly evolving digital landscape.
I recently stumbled upon a report about Clickout Media, a company that’s notoriously transforming reputable news sites into hubs of AI-driven gambling content. Google refers to this practice as ‘site reputation abuse’. Essentially, it involves using legacy news brands, adding fabricated bylines, embedding casino links, and eventually abandoning these sites after they incur penalties from Google.
According to PressGazette, Clickout Media has been buying sports, gaming, and tech sites only to pivot them from authentic editorial content to topics saturated with casinos and cryptocurrency. Former employees revealed that original reporting gets stripped and replaced with AI-generated articles that promote offshore gambling links.
The approach leverages existing domain authority to manipulate Google rankings. Initially, legitimate content is maintained to preserve the site’s credibility. However, as time passes, gambling content takes over, with human writers being replaced by AI-generated articles and fake author profiles. The revenue stream mainly comes from affiliate deals with casino operators, often linked to player losses.
It’s disheartening to see the impact—several previously active publications are now deindexed, with repercussions including layoffs and closures. Alarmingly, even charity websites have been repurposed to host gambling content.
In Google’s view, publishing content at such a scale purely to manipulate rankings is a breach of their policies, labeled ‘site reputation abuse.’ This can result in manual actions and the removal of these sites from Google’s search index.
As someone who cares about the integrity of SEO, it’s clear this isn’t search engine optimization in any authentic sense. It’s a blatant manipulation of reputation to deceive and gain at scale.
For over a decade, the content formula was clear-cut: choose a keyword, craft an article, publish, promote, rank, and convert. But now, that system is failing.
In today’s world, content marketing is in transformation. AI delivers direct answers to search queries within the results page. With large language models processing information faster than we can distribute it, a new content approach is essential.
While the cost of content creation plummets, the challenge of standing out becomes steeper. Here’s a method for thriving in a market where visibility is far from guaranteed.
The decline of informational SEO
Informational SEO was once a beacon for growth. The idea was simple: produce enough articles, get traffic, and grow. But that traffic was always just a proxy for real progress.
Now, AI tools deliver instant summaries, reducing the need for users to click through. If your strategy revolves around responding to common queries, you’re up against highly trained AI, rendering traditional informational SEO strategies ineffective.
Content needs a new purpose, evolving beyond customer support and sales to creating genuine brand notoriety.
SEO’s evolution into a competition for boardroom-worthy metrics has diluted its effectiveness. It’s time to reset focus.
Content serves two purposes: as a business in itself or as a strategy to boost another business. For most, content acts as advertising—building brand recall, as proven by advertising science, hinges on fame, feeling, and fluency.
Gone are the days when we could rely on attracting users through search alone. AI now answers questions instantly, reducing the effectiveness of content designed only to draw in search engine traffic. It’s time to pivot towards pushing content to audiences directly through media, partnerships, and events.
In this overcrowded media landscape, it’s not about access—it’s about strategy and targeting.
Kevin Kelly’s insight in “The Inevitable” reveals a crucial shift: visibility is now a scarce commodity. As content production skyrockets, curation and distribution become the keys to visibility, shifting the value from creation to distribution.
With finite human attention, being found is a matter of scarcity economics. Today, it’s not just about creating content but making sure it’s uniquely visible.
Dig deeper:
Powerful messaging in an age of abundance
Rory Sutherland’s concept of impactful messaging emphasizes the need for distinct, memorable signals in marketing. When everything is efficient, inefficiency and peculiarity become powerful signals. Just as lavish wedding invitations signal importance through their very wastefulness, marketing must adopt similar strategies to stand out.
In a world awash with competent yet forgettable content, distinct efforts stand out and make a lasting impression.
Paul Feldwick’s principles of fame—interest, reach, distinctiveness, and voluntary public engagement—shape how we approach content marketing now. Creating unique and engaging content that stands out is essential for becoming memorable and broadening reach.
It’s not enough to produce content; it must be distinctive, distributed effectively, and encourage engagement.
Operationalizing fame in search marketing
To thrive in the AI era’s content landscape, marketers must adopt a new mindset. Focus on five steps: differentiate infrastructure from fame-building initiatives, invest in originality, prioritize distribution before creation, establish distinctive brand assets, and measure your growth in fame, not just traffic.
Understanding that fame, not content volume, catalyzes growth is vital. By crafting memorable and distributed content, we can achieve genuine recall in our audience’s minds.
Automation takes the mundane out of our hands, empowering us to create outstanding content. Successful content strategies will pivot from producing large volumes to making each piece count, driving creative impact. As information proliferates, brands must strive not only to be visible but also to be remembered.
In the AI age, the brands that will shine are those that master the art of being found, focusing on creative impact rather than mere existence.
Let me clarify—this is just a patent document, a flicker of a possibility, not an immediate change in Google Search.
A recently published patent from Google hints at a potential shift in how we experience search results. It suggests that instead of landing on a standard webpage, searchers might be directed to an AI-crafted page tailored to individual queries.
This patent outlines a system using AI to auto-generate personalized landing pages for businesses or organizations. Instead of simply redirecting me to a generic homepage, it aims to deliver a page that’s directly relevant to my search intent and the organization’s offerings.
Patent Abstract. Here’s an overview from the patent itself:
“Techniques for generating an artificial intelligence (AI)-generated page for a first organization. The system can include a machine-learned model configured to generate the AI-generated page. The system can receive from a user device associated with a user account, the user query. Additionally, the system can generate a search result page for the user query. The search result page can include a first result associated with a first landing page of the first organization. The system can calculate a landing page score for the first landing page. The system can generate an updated search result page based on the landing page score exceeding a threshold value, the updated search result page having a navigation link to an AI-generated page for the first organization. The system can cause a presentation, on a display of the user device, the updated search result page.”
Example Scenario. Picture this: I’m searching for “waterproof hiking boots for wide feet” on a site like REI or Amazon. Normally, I’d end up on a general “Hiking Boots” page and have to sift through countless options. But with AI, Google could direct me to a specially tailored page that zeroes in on exactly what I need.
Why It Matters. This is a mere patent and might never see the light of day. However, it’s intriguing to ponder Google’s potential direction and what it could mean for the future of search.
In any scenario, these insights offer a glimpse into the forward-thinking strategies within Google.
