Why AI Visibility Does Not Only Depend On SEO
AI visibility issues often reflect organizational misalignment rather than SEO problems, as inconsistent data confuses language models.
AI visibility issues often reflect organizational misalignment rather than SEO problems, as inconsistent data confuses language models.
As AI agents proliferate into the web, a Senior Staff Research Scientist at Google DeepMind warns that scale makes failure inevitable.
AI recommendation poisoning is already happening. Here’s what it is, why it matters more than GEO, and which side of the line is worth choosing.
WordPress plugin vulnerability rated 8.8/10 enables attackers to gain full site access.
Anthropic’s Claude Tag lets teams assign work to @Claude inside Slack, embedding AI as a co-worker and assistant.
Google expands its Limited Ad Serving policy, introducing new advertiser qualification signals tied to user reports, identity, and Search ad eligibility.
As AI agents proliferate into the web, a Senior Staff Research Scientist at Google DeepMind warns that scale makes failure inevitable.
WordPress plugin vulnerability rated 8.8/10 enables attackers to gain full site access.
Anthropic’s Claude Tag lets teams assign work to @Claude inside Slack, embedding AI as a co-worker and assistant.
Google expands its Limited Ad Serving policy, introducing new advertiser qualification signals tied to user reports, identity, and Search ad eligibility.
Google’s conversational agent now troubleshoots delivery and builds reports inside Ad Manager, bringing prompt-driven workflows to publisher ad ops.
A Similarweb report links AI recommendations to more site visits and deeper engagement, with most downstream traffic arriving via branded search.
AI visibility issues often reflect organizational misalignment rather than SEO problems, as inconsistent data confuses language models.
AI recommendation poisoning is already happening. Here’s what it is, why it matters more than GEO, and which side of the line is worth choosing.
Discover how the rise of AI is reshaping SEO practices. Learn about indexing, citations, and measurement gaps.
Optimizing for AI search means optimizing for queries your customers never typed. QueryFan surfaces exactly what ChatGPT and Gemini searched when answering their questions.
Stop reporting rankings and traffic. Start showing pipeline, CAC, and ROI that executives actually care about.
Google’s John Mueller and Martin Splitt cautioned against parallelizing content with markdown for AI SEO.
Google expands its Limited Ad Serving policy, introducing new advertiser qualification signals tied to user reports, identity, and Search ad eligibility.
Google’s conversational agent now troubleshoots delivery and builds reports inside Ad Manager, bringing prompt-driven workflows to publisher ad ops.
Create unified search strategies by aligning SEO, PPC and content teams through integrated briefs covering objectives, intent and SERP features.
Microsoft Advertising launches Product Explorer, a new Merchant Center tool that helps advertisers analyze feed health, product status, and performance data.
Google Ads expands Smart Bidding Exploration, launches Promotion mode beta, and updates optimization for budget-limited campaigns beginning August 17.
AI agents now shop and checkout for customers, transforming Google Ads product feeds into bidding signals and creating new advertising surfaces.
Why the best content frameworks become outdated and how to stay ahead by embracing new data instead of defending old models.
AI retrieval systems reward semantic precision over content volume, making excessive publishing counterproductive for modern SEO visibility.
New research shows daily AI Overview users click sources 3.5x more than occasional users, revealing optimization opportunities.
Marketing expert Ann Handley reframes AI literacy as judgment literacy, emphasizing when to avoid AI rather than perfect prompts.
You can’t optimize content for a retrieval system you can’t measure. Here’s the measurement literacy gap practitioners need to close.
This checklist, created from CallRail’s October 2025 survey of 600 small-to-midsize businesses, walks you through six areas to implement AI that can:
The Content Framework That Worked In 2019 Is Now Working Against You
By Greg Jarboe
Why the best content frameworks become outdated and how to stay ahead by embracing new data instead of defending old models.
TikTok Shows 3x More AI Slop Than YouTube, Report Finds
By Matt G. Southern
In a fresh-account test, Kapwing found 59% of TikTok For You videos were AI slop, roughly three times the rate on YouTube.
YouTube Brings In-App Sharing & Messaging To The U.S.
By Matt G. Southern
YouTube is expanding in-app video sharing and messaging to eligible adults in more markets, reviving a version of its messaging feature removed in 2019.
YouTube Adds Auto-Detection For AI-Generated Content
By Matt G. Southern
YouTube is moving AI disclosure labels to more visible spots and adding automatic detection for undisclosed photorealistic AI content on videos.
Why LLMs Cite Reddit Instead Of Your Brand: A Practical AI Visibility Audit [Webinar]
By Loren Baker
Understand the role Reddit plays in AI answers and how brands can capitalize on community signals to enhance visibility.
Reddit CEO Says LLMs ‘Would Not Exist’ Without Reddit Data
By Matt G. Southern
Reddit CEO Steve Huffman calls user content “modern oil” for AI, discusses deals with Google and OpenAI, and outlines why some companies face lawsuits.