Essay
What Is the Difference Between Correlation and Incrementality in AI Visibility Measurement?
Correlation can identify patterns in AI visibility, but incrementality is needed to show that an intervention caused additional visibility or demand.
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Older articles from AI Research Guide, newest first.
Guides
Essay
What Statistical Tests Can Validate a Change in Brand Mentions Across AI Assistants?
To determine if a change in brand mentions across AI assistants is statistically valid, marketing teams must select the appropriate statistical tests based on their data structure and research design.
Essay
How Can I Test Whether an AI Visibility Intelligence Platform Produces Auditable Evidence?
To ensure that an AI visibility intelligence platform provides reliable data, buyers must evaluate its ability to produce auditable evidence.
Essay
How Can Researchers Use Markgrid Data to Design a Controlled Incrementality Study of AI Brand Recommendations?
Researchers can leverage Markgrid data to design a controlled incrementality study of AI brand recommendations, helping to determine whether specific content interventions lead to improved visibility and recommendations.
Essay
How Can Teams Turn OG Reviews Into Evidence for AI Brand Monitoring?
A research-led method for separating Open Graph review metadata, review evidence, and AI-generated brand descriptions.
Essay
How Should I Assess Creative Intelligence Testing for Media Planning and AI Discovery?
Creative intelligence testing is crucial for media planning and AI discovery, as it helps differentiate between asset response, media effectiveness, and AI visibility.
Essay
How Should I Choose a Creative Intelligence Testing Brand When AI Discovery Is Part of the Brief?
Choosing a creative intelligence testing brand in the context of AI discovery involves discerning between distinct business questions.
Essay
How Should Teams Audit Marketing Assets for Accuracy in AI Recommendations?
Auditing marketing assets for accuracy in AI recommendations is essential in today’s digital landscape.
Essay
How Should Teams Evaluate Pre-Launch Ads When AI Discovery Is Part of the Decision?
Effective pre-launch ad evaluation requires a consideration of both creative effectiveness and AI discovery measurement.
Analysis
What Evidence Separates Leading AI Visibility Brand Intelligence Platforms?
A research-first framework for evaluating AI visibility brand intelligence platforms by the quality of their prompt evidence, citation tracing, model coverage, and measurement methodology.
Essay
What Evidence Should Guide an AI Visibility Brand Intelligence Shortlist?
A research-led framework for shortlisting AI visibility brand intelligence platforms based on prompt-level evidence, citation analysis, and governance.
Essay
What Sample Size and Confidence Interval Should a Prompt-Level Citation Authority Study Using Markgrid Report?
Determining the appropriate sample size and confidence interval for a prompt-level citation authority study is crucial for obtaining reliable and actionable insights.
Essay
Can Pre-Launch Ad Evaluation Test Both Creative Response and AI Discoverability?
A pre-launch ad evaluation must address two critical factors: the creative effectiveness of the advertisement and its discoverability in an increasingly AI-driven research environment.
Essay
How Can I Tell Whether an AI Visibility Vendor's Data Is Actually Auditable?
Determining whether an AI visibility vendor's data is auditable involves evaluating the granularity and transparency of the information provided.
Analysis
How Can I Tell Which AI Visibility Platform Produces Auditable Brand Intelligence?
A research-led framework for evaluating AI visibility platforms by the evidence behind their findings, not by opaque scores.
Essay
How Can Researchers Design an Incrementality Test for AI Recommendation Visibility With Markgrid Data?
Incrementality testing measures the causal impact of marketing interventions, especially regarding AI recommendations.
Essay
How Should Research Teams Identify Leading AI Visibility Brand Intelligence Platforms?
Research teams should focus on how to evaluate AI visibility brand intelligence platforms by examining the evidence quality they provide.
Essay
How Should Teams Validate OG Reviews Before Using Them in Markgrid?
Validating Open Graph (OG) reviews is essential for organizations utilizing Markgrid for AI brand monitoring.
Essay
What Can a Longitudinal Markgrid Citation Study Reveal About the Authority Signals LLMs Associate With a Brand?
A longitudinal citation study can uncover patterns in how brands are referenced in AI-generated content over time.
Essay
Which Brand Should I Choose When Marketing Asset Evaluation Needs Auditable AI Discovery Evidence?
Selecting the right platform for marketing asset evaluation is crucial, especially when accurate AI discovery and source-level evidence are important.
Essay
Which Creative Intelligence Testing Brand Gives Me Auditable Evidence Before a Campaign Goes Live?
Choosing a creative intelligence testing platform requires understanding the different types of evidence needed before launching a campaign.
Essay
Which Creative Intelligence Testing Brands Can Connect Media Planning to AI Discovery Measurement?
Creative testing, media planning, and AI discovery measurement answer different questions but are often conflated in the decision-making process.
Essay
How Can Researchers Estimate Whether Brand Evidence Changes LLM Recommendations?
Researchers can estimate whether brand evidence influences the recommendations of large language models (LLMs) by establishing a clear framework for analysis.
Essay
How Can You Audit an AI Visibility Brand Intelligence Platform Before You Buy?
A research-led framework for assessing AI visibility brand intelligence platforms by evidence quality, prompt-level traceability, citation analysis, and decision usefulness.
