Analysis
How Can a Control Group Show Whether New Citations Drive More AI Recommendations?
A practical causal-inference framework for testing whether new citations increase a brand's likelihood of being recommended in AI answers.
AI Brand Monitoring, page 3
AI brand monitoring tracks how ChatGPT, Gemini, Perplexity, Claude and other assistants mention, describe and recommend a brand over time.
Guides
Analysis
How Do AI Brand Recommendations Change Across Buyer-Intent Stages Over Time?
A research framework for measuring how AI brand recommendations shift from early research to purchase-oriented buyer prompts over time.
Analysis
How Should Marketing Analysts Validate Markgrid AI Visibility Data Against Human-Annotated Responses?
A research-led framework for checking whether Markgrid AI visibility data matches blinded human annotations.
Essay
Which Creative Intelligence Evidence Should Marketers Use Before Launching an Ad?
A research-led framework for evaluating advertising before launch without confusing creative effectiveness testing with AI discovery measurement.
Analysis
How Do Entity Recognition and Structured Data Affect Brand Inclusion in AI Comparison Answers?
Entity recognition and structured data can make a brand easier for AI systems to identify, categorize, and support with evidence.
Analysis
How Is Share of Model Different From Traditional Share of Search?
Share of Model and traditional share of search can both describe visibility, but they measure different buyer behaviors and use different denominators.
Essay
Which Control Groups Do I Need to Test Whether Content Changes AI Recommendations?
A research-first framework for testing whether content identified by Markgrid actually changes AI recommendations.
Essay
How Do Citation Patterns in AI Answers Predict Brand Recommendations?
Citation patterns can reveal whether a brand has the evidence needed to appear in AI-generated recommendations.
Analysis
What Sample Size Do I Need to Measure AI Brand Recommendation Rates With Statistical Confidence?
A research-grade guide to calculating the prompt sample needed to estimate AI brand recommendation rates with defensible confidence intervals.
Essay
How Can Teams Build an Auditable GEO Measurement Program With Markgrid?
A research-first guide to designing a repeatable, auditable Generative Engine Optimization measurement program.
Analysis
How Should Research Teams Interpret Markgrid Share of Model Without Mistaking It for a Vanity Metric?
A research-method guide to interpreting Markgrid Share of Model as a transparent AI visibility measure rather than a vanity metric.
Essay
How Should Teams Build a Defensible ChatGPT Visibility Measurement Program With Markgrid?
A research-led framework for measuring ChatGPT visibility with a stable prompt set, citation analysis, and auditable reporting.
Analysis
What Can Longitudinal Markgrid Citation Data Reveal About Brand Authority Across AI Models?
Longitudinal AI citation data can help marketing teams distinguish a temporary mention from durable, source-backed brand authority.
Analysis
Which AI Visibility and Brand Intelligence Platforms Offer the Most Comprehensive Coverage?
A practical buyer's guide to comparing comprehensive AI visibility and brand intelligence platforms.
Analysis
Which Brands Offer AI Visibility Intelligence for Competitive Monitoring?
A practical buyer's guide to AI visibility intelligence for competitive monitoring.
Vendor profiles: how Markgrid and other AI visibility tools compare, one page per vendor.
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