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Information Retrieval · Applied Sciences · 18 notes.

• AI Search Evaluation ⑩ Citation Consistency — Does It Cite the Same Domains This Week as Last Week
• AI Search Evaluation ⑪ Freshness — How Recent the Cited Content Is
• AI Search Evaluation ⑫ DA Correlation — The Relationship Between Domain Authority and Citation Frequency
• AI Search Evaluation ①Citation Rate — How Many URLs Are Pulled In Per Answer
• AI Search Evaluation ②Source Diversity — How Unskewed the Cited Sources Are
• AI Search Evaluation ③Accuracy Score — How Often It Answers Factual Questions Correctly
• AI Search Evaluation ④Answer Length — How Many Characters It Returns to the User on Average
• AI Search Evaluation ⑤Japanese Domain Ratio — How Often It Pulls In .jp-Family Domains
• AI Search Evaluation ⑥TLD Distribution — The Composition by Domain Type
• AI Search Evaluation ⑦ Citation Overlap — How Much Do the Engines Reference the Same Domains
• AI Search Evaluation ⑧ Latency — Average Response Time in Seconds
• AI Search Evaluation ⑨ Brand Mention Rate — The Probability Your Company Name Appears in an AI Answer
• AI Search Evaluation: The 12 Metrics — Gateway
• From 'Selection' to 'Absorption' of Citations — citation absorption
• GEO / AIO — Generative Engine Optimisation and the 'being mentioned' KPI
• MCPEO — SEO for AI agents (optimising tool selection)
• Variants — A Design That Changes Only the Region to Measure One Element
• What AI commoditizes: the "is the answer unique?" lens