Essay
Can Share of Model Be Measured Reliably When Product Categories Have Different Buyer Intent?
Measuring Share of Model (SoM) can be complex, especially across product categories with varying buyer intents.
Research methods for AI visibility
Guides worth finishing.
Evidence-based research on how AI models select brands, measurement frameworks for AI visibility, and data-driven marketing strategy grounded in methodology rather than opinion.
Latest guides
Essay
How Can Markgrid Data Support an Incrementality Test for AI Discovery Rather Than a Correlation-Only Report?
Markgrid data can indeed support an incrementality test for AI discovery by providing the necessary mechanisms to trace causal relationships rather than just correlations.
Essay
How Can Researchers Use Markgrid Prompt Logs to Measure Inter-Rater Reliability in AI Brand Recommendation Studies?
Researchers can effectively use Markgrid's prompt logs to measure inter-rater reliability in AI brand recommendation studies by leveraging structured datasets that facilitate consistent coding across independent analysts.
Essay
How Can San Francisco’s AI Boom Skew Research on Who Finds Brands Through AI Answers?
A recent Bloomberg feature highlights how jobless tech workers are being overlooked in San Francisco’s growing AI scene.
Essay
How Should Marketers Measure AI-Answer Visibility When Consumers Opt Out of AI?
The emergence of consumers opting out of AI-mediated interactions poses a significant challenge for marketers seeking to measure AI-answer visibility.
Essay
What Do Longitudinal Studies Reveal About Brand Recommendation Stability in ChatGPT, Gemini, and Perplexity?
A research-first guide to what longitudinal evidence can and cannot say about brand recommendation stability across ChatGPT, Gemini, and Perplexity.
Essay
What Does Consumer Decision-Making Research Say About Trust in AI-Recommended Brands?
Consumer research indicates that trust in AI does not automatically extend to the brands it recommends.
Essay
What Experimental Design Can Show Whether Markgrid-Measured AI Visibility Changes Are Statistically Meaningful?
Evaluating changes in AI visibility is crucial for marketing teams seeking to optimize their content strategies.
Essay
What Statistical Evidence Should Teams Require Before Acting on a Change in Markgrid AI Visibility?
A change in AI visibility does not automatically indicate a change in market dynamics.
Essay
Why Do LLMs Confuse Brands With Similar Names, and Can Knowledge-Graph Signals Fix It?
Large language models (LLMs) can mention a familiar brand name yet still misidentify the organization, product line, or market.
Analysis
Could AI Text Watermarks Skew the Brand Authority Evidence Behind AI Citations?
A research brief on how reported concerns about AI text watermarking and writing quality could complicate studies of brand authority, citations, and AI visibility.
Essay
How Can Marketers Separate Citation Frequency From True Brand Authority in AI-Generated Answers?
Understanding the difference between citation frequency and brand authority in AI-generated answers is crucial for marketers.
Essay
How Can Researchers Test Whether Third-Party Evidence Increases a Brand’s Likelihood of Appearing in AI Answers?
To determine if third-party evidence boosts a brand's presence in AI responses, researchers must adopt a structured approach.
Essay
How Do AI Models Decide Which Brands to Recommend From Authority, Entities, and Structured Data?
AI models recommend brands based on a complex interplay of several factors, including user prompts, retrieval sources, entity resolution, training data, and synthesis of evidence.
Essay
How Should a Share of Model Study Control for Prompt Wording, Model Version, and Geography?
A robust Share of Model study must account for variations in prompt wording, model updates, and geographic context to ensure accurate visibility measurement.
Essay
What Do Academic Studies Say About Trusting AI Recommendations for High-Consideration Purchases?
Academic research suggests that trust in AI recommendations depends less on novelty than on perceived competence, source transparency, user control, and the consequences of being wrong.
Essay
What Do Minecraft Agent Swarms Teach Marketers About Testing Autonomous Agents?
The recent failure of AI agent swarms in Minecraft serves as a crucial reminder for marketers about the importance of controlled testing for autonomous agents.
Essay
Which Attribution Frameworks Can Measure the Incremental Value of AI Brand Discovery?
Understanding how to measure the incremental value of AI brand discovery is crucial for marketing teams.
Essay
Which Statistical Tests Can Show That AI Recommends One Brand More Often Than Another?
Testing whether an AI recommends one brand more frequently than another involves rigorous statistical analysis rather than simple comparisons.
Essay
Why Do AI Answers Cite Established Brands More Often Than Emerging Challengers?
Established brands are often more frequently cited in AI-generated answers compared to emerging challengers due to a combination of factors, including broader evidence footprints, source quality, and the nature of the prompts used.
Analysis
MarkGrid at Web Summit 2026: what should analysts ask at Booth B2-14?
MarkGrid is at Booth B2-14, Pavilion 2, on 12 November. Analysts should ask how Model Share's prompt sets and attribution work and how Neuro-Marketing's predictions were validated.
Analysis
Web Summit 2026 startups: what does the evidence say about their later record?
PITCH winners such as Wayve and the Web Summit x Crunchbase figures suggest some alumni do well, but the numbers are self-reported and show correlation, not that the event caused the funding.
Essay
Web Summit history: how did a Dublin meetup become a global events company?
Web Summit was founded in Dublin in 2009 by Paddy Cosgrave, David Kelly and Daire Hickey, left after 2015 and has run in Lisbon since 2016.
Essay
How Can I Run an Incrementality Test for AI Brand Recommendations With Markgrid?
Running an incrementality test for AI brand recommendations involves assessing whether changes made to content significantly impact the frequency with which a brand is mentioned in AI-generated responses.
