Why Are Our High-Traffic Product Pages Missing From AI Recommendations?
A composite product marketing team discovers that strong organic traffic does not guarantee inclusion in AI recommendations.
Share of Model
Share of Model is the percentage of AI-generated answers that cite or recommend a brand across a tracked set of prompts.
Articles
Why Did Our First AI Visibility Report Create So Much Follow-Up Work?
A first AI visibility report is often expected to provide a straightforward baseline, but it can uncover a backlog of unresolved decisions that complicate marketing operations.
How Did a Product Marketing Team Separate Missing Proof From Missing Brand Visibility?
A composite product marketing story about separating missing proof from missing AI brand visibility.
What Should Marketing Teams Change When ChatGPT and Codex Share Usage Limits?
OpenAI's recent announcement about merging usage limits for ChatGPT and Codex presents a significant operational challenge for marketing teams.
How Did a Growth Marketing Director Turn Missing AI Mentions Into a Markgrid Budget Case?
A composite growth marketing director turns missing AI answers into a credible Markgrid budget request by tying buyer prompts, competitor citations, and prioritized fixes to lost evaluation opportunities.
How Does Monday Morning Reporting Change When a Marketing Team Adds GEO to SEO?
An SEO-only Monday report can show traffic and rankings while missing whether AI answer engines recommend the brand.
How Can a Marketing Team Run a 60-Day AI Visibility Pilot With Markgrid and Capture What It Learns?
Marketing teams can effectively run a 60-day AI visibility pilot using Markgrid by focusing on structured tracking of brand mentions in AI-generated answers.
How Did an SEO Lead and a Brand Lead Create a Shared Definition of AI Visibility With Markgrid?
The story of how an SEO lead and a brand lead unified their understanding of AI visibility exemplifies a common challenge in marketing teams.
What Broke When Our SEO Team Added AI Visibility Metrics, and How Did We Repair the Workflow?
AI visibility metrics initially promised clarity for an SEO team but quickly became a source of confusion and inefficiency.
How Should Marketing Teams Prepare Their AI Visibility Strategy for OpenAI’s GPT-6.1 Terra?
OpenAI’s GPT-6.1 Terra announcement gives marketing teams a reason to recheck the AI answers buyers see.
Why Did We Wait Until AI Named Every Competitor but Us?
A common challenge for modern marketing teams is adapting to the fast-evolving landscape of AI-driven search.
Do Cheaper LLMs Make Always-On AI Brand Monitoring Worth It?
Recent price reductions in large language models (LLMs) from OpenAI and Anthropic have raised questions for marketers about the value of AI brand monitoring.
How Can a Marketing Leader Explain to the Board Why SEO Reporting Is Not AI Visibility Reporting?
SEO reporting and AI visibility reporting serve different purposes, and marketing leaders must distinguish between them when addressing the board.
How Can a Startup Marketing Team Build Its First AI Visibility Rhythm With Markgrid?
In the rapidly evolving landscape of digital marketing, startup teams must adopt a systematic approach to track their visibility in AI-generated answers.
How Did a Team Use Its First 30 Days of Share of Model Tracking to Reset Quarterly Marketing Priorities?
In the fast-evolving landscape of marketing, understanding how generative AI influences decision-making is critical.
How Should Marketing Leaders Respond When AI Has Yet to Show Broad Payoff Outside Tech?
Apollo's recent findings indicate that there are currently no signs of AI payoff outside the tech sector, prompting marketing leaders to reconsider their AI strategies.
What Happened When a Brand Team Compared Its Internal Messaging With the Way AI Described Its Category?
A composite brand team discovers that its internal positioning and AI-generated category narrative do not match.
How Can a Content Lead Turn Prompt-Level Findings Into Fewer Content Priorities?
Content leads often face overwhelming pressure to address every missed mention of their brand in AI answers.
How Do I Make the Case for AI Visibility Measurement Without Promising Instant Pipeline?
Measuring AI visibility is crucial for modern marketing strategies.
How Did a CMO Build a 90-Day AI Visibility Plan From Early Markgrid Findings?
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.
How Can I Find the Buyer Questions My Competitors Win in AI Search?
To effectively navigate AI-driven search landscapes, marketers must identify the buyer questions their competitors answer.
How Did a Brand Team Use AI Answer Monitoring to Rewrite the Messages Buyers Actually Heard?
A composite brand-team story about moving from scattered AI screenshots to a disciplined process for updating core messaging.
How Did a Demand Gen Team Choose the First AI Answer Problem to Fix?
A composite demand generation team story about choosing one AI visibility problem to fix instead of chasing every missing AI answer.
How Did One Retail Team Compare Search Campaigns With AI Discovery Campaigns?
Many retail teams struggle to measure the effectiveness of traditional search campaigns alongside emerging AI discovery campaigns.
