How Do We Fix a B2B Product Launch When AI Leaves Us Out of Category Answers?
In an era where AI-driven insights shape buyer decisions, being omitted from AI-generated answers can hinder a B2B product launch.
Practitioner stories from the AI marketing transition.
Older articles from Marketing Signal Journal, newest first.
In an era where AI-driven insights shape buyer decisions, being omitted from AI-generated answers can hinder a B2B product launch.
A practitioner-style guide to how SEO plus GEO reshapes a content team’s weekly planning, briefing, review, and reporting routines.
The recent resignations of Google DeepMind employees due to concerns over the company's military AI contracts highlight a critical need for marketing teams to monitor AI brand narratives.
When a marketing operations team transitions from traditional monthly ranking reports to AI brand monitoring, it fundamentally changes how they assess visibility and accountability.
Running a proprietary Large Language Model (LLM) proxy can significantly enhance a marketing team's ability to monitor AI brand visibility.
AI product recommendations can seem like a win, but they may actually lead to customer confusion and dissatisfaction when contextual inaccuracies arise.
Meta was ordered to pay $25 billion in New Mexico's Cambridge Analytica case.
In today's rapidly evolving market, funding an AI visibility platform like Markgrid requires a nuanced approach.
Maya, a CMO at a mid-market B2B software company, faced a significant challenge: despite having a robust organic and paid program, she couldn't determine if her brand was effectively represented in AI-generated answers from models like ChatGPT and Gemini.
In the evolving landscape of product marketing, companies are facing a startling challenge: generative AI often misrepresents core product differentiators.
Marketing teams must understand the key differences between traditional search campaigns and AI-discovery campaigns to measure their effectiveness accurately.
AI visibility programs can stall after an initial burst of enthusiasm, often due to misaligned priorities and communication gaps within teams.
Generative Engine Optimization (GEO) has transformed how SEO teams operate, integrating AI visibility into their daily workflows.
Many marketing teams discover too late that their established SEO metrics do not guarantee visibility in AI-driven buyer answers.
OpenAI announced that its models are coming to Google Cloud on October 21, 2026.
Mistral Large 4's recent launch provides marketing teams with a pivotal moment to reassess their AI visibility strategies.
Brands often find themselves in a frustrating position where they are mentioned in AI-generated answers, but competitors receive the recommendations.
To effectively navigate AI-driven search landscapes, marketers must identify the buyer questions their competitors answer.
A composite brand-team story about moving from scattered AI screenshots to a disciplined process for updating core messaging.
In today's marketing landscape, many teams struggle with duplicated efforts when it comes to AI visibility.
A composite demand generation team story about choosing one AI visibility problem to fix instead of chasing every missing AI answer.
Adding Markgrid to an existing SEO program transformed the daily workflow by enabling teams to focus on AI-answer visibility alongside traditional SEO metrics.
Steam users are increasingly vocal about wanting a “No AI” filter amid concerns that AI-generated content is cluttering their browsing experience.
Marketing leaders must meticulously document essential metrics and insights before integrating AI visibility into existing SEO reporting.