Author: Chris Han
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How to Get Cited by Microsoft Copilot: The Bing-Plus-Graph Playbook
How to get cited by Microsoft Copilot: it pulls from the Bing index and a buyer’s M365 tenant. See our citation data, then run the 6-step audit.
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Case Studies for AI Search: How to Structure Results So Engines Cite Them
Case studies for AI search get skipped when results aren’t verifiable. Pair every claim with a metric, method and attribution — with citation-rate data from 412 tracked pages.
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Third-Party Sources for AI Citations: Which to Earn First
Third-party sources for AI citations don’t pay off equally. Compare retrieval rate, effort and time-to-citation across 8 source types — and see which to earn first.
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Google AI Mode Visibility: How Brands Get Surfaced in Conversational Search
Google AI Mode visibility runs on a different retrieval path than AI Overviews: our 13-week panel of 1,180 prompts found 11.4% URL overlap. What to fix, in order.
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AI Mode vs AI Overviews: Same Query, Different Sources — and Why
AI Mode vs AI Overviews shared just 18.6% of cited URLs across 731 paired queries in our six-week study. See what makes a page win both — and how to audit yours.
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How to Track Google AI Mode: The Prompt-Sampling Method (2026)
How to track Google AI Mode without rankings or click data: a prompt-sampling method, sample-size math from 88,036 sampled answers, tool options, and a report template that survives scrutiny.
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Content Strategy for AI Mode: Which Pages Survive the Fan-Out
A content strategy for AI Mode lives or dies on facet coverage. We tracked 19,412 AI Mode citations for eight weeks to find when one deep hub beats five narrow pages — and the rule for splitting or merging.
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Why AI Engines Give Different Answers: A 3,600-Answer Breakdown
Why AI engines give different answers about your brand: 3,600 tracked answers show retrieval causes 54% of divergence, model behavior 46%. See the four-layer breakdown and what fixes each.
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Which AI Engines to Track — and Which You Can Safely Ignore
Not all eight AI engines earn a dashboard slot. Data from 1.9M tracked answers shows which AI engines to track daily, weekly, and quarterly — plus the scoring formula to build your own list.
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Claude AI Brand Recommendations: How They Differ From ChatGPT and Perplexity
Claude AI brand recommendations name 48% fewer brands and hedge twice as often as ChatGPT. See the 11,520-answer panel data and what to fix first.