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Explore a sample AI answer dataset

AIAnswerDataset Explorer

Explore a sample AI answer dataset across the four major assistants with topic and model filters.

Answer Dataset Explorer
Records

48

Total sources

311

Avg length

228 w

IDPromptTopicModelSourcesLength
ans-1What is llms.txt?llms.txtChatGPT10362
ans-2How do I rank in ChatGPT?GEOChatGPT6342
ans-3Best brand visibility checkerMonitoringChatGPT4245
ans-4How to build topic authorityAuthorityChatGPT796
ans-5What is schema markup for AI searchSchemaChatGPT7162
ans-6Best llms.txt WordPress pluginllms.txtChatGPT5252
ans-7AI citation tracker comparisonMonitoringChatGPT7228
ans-8How AI assistants pick sourcesCitationsChatGPT3221
ans-9GEO vs SEO explainedGEOChatGPT6339
ans-10How to measure GEO ROIMeasurementChatGPT8340
ans-11FAQ schema for AI overviewsSchemaChatGPT6287
ans-12Brand authority score explainedAuthorityChatGPT5252
ans-13What is llms.txt?llms.txtClaude3135
ans-14How do I rank in ChatGPT?GEOClaude6288
ans-15Best brand visibility checkerMonitoringClaude6182
ans-16How to build topic authorityAuthorityClaude10278
ans-17What is schema markup for AI searchSchemaClaude10138
ans-18Best llms.txt WordPress pluginllms.txtClaude9269
ans-19AI citation tracker comparisonMonitoringClaude6175
ans-20How AI assistants pick sourcesCitationsClaude7200
ans-21GEO vs SEO explainedGEOClaude6256
ans-22How to measure GEO ROIMeasurementClaude8121
ans-23FAQ schema for AI overviewsSchemaClaude8266
ans-24Brand authority score explainedAuthorityClaude4260
ans-25What is llms.txt?llms.txtPerplexity10231
ans-26How do I rank in ChatGPT?GEOPerplexity7135
ans-27Best brand visibility checkerMonitoringPerplexity6266
ans-28How to build topic authorityAuthorityPerplexity8101
ans-29What is schema markup for AI searchSchemaPerplexity6238
ans-30Best llms.txt WordPress pluginllms.txtPerplexity5318
ans-31AI citation tracker comparisonMonitoringPerplexity6302
ans-32How AI assistants pick sourcesCitationsPerplexity9220
ans-33GEO vs SEO explainedGEOPerplexity3258
ans-34How to measure GEO ROIMeasurementPerplexity5193
ans-35FAQ schema for AI overviewsSchemaPerplexity7233
ans-36Brand authority score explainedAuthorityPerplexity6191
ans-37What is llms.txt?llms.txtGemini6100
ans-38How do I rank in ChatGPT?GEOGemini4108
ans-39Best brand visibility checkerMonitoringGemini6114
ans-40How to build topic authorityAuthorityGemini9225
ans-41What is schema markup for AI searchSchemaGemini10341
ans-42Best llms.txt WordPress pluginllms.txtGemini3293
ans-43AI citation tracker comparisonMonitoringGemini4318
ans-44How AI assistants pick sourcesCitationsGemini7189
ans-45GEO vs SEO explainedGEOGemini7252
ans-46How to measure GEO ROIMeasurementGemini9285
ans-47FAQ schema for AI overviewsSchemaGemini7150
ans-48Brand authority score explainedAuthorityGemini4172

How it works

The explorer ships with a sample dataset of AI answers covering 12 canonical prompts across the four major assistants. Filter by topic, model or search - you can see what a real answer dataset looks like before investing in your own.

Why explore answer datasets

  • A dataset is the only way to see aggregate patterns - which topics get long answers, which get short, which models cite the most sources.
  • Building your own internal dataset is the foundation of a mature GEO programme - you cannot improve what you do not log.
  • Source counts per answer tell you how many 'slots' are available for your brand - a prompt with 10 sources is 10x more winnable than one with 3.

Related

Explore the Citation Dataset Explorer and the Source Dataset Explorer for deeper dives.

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Geolify GEO packages bundle every tool on this site into a 14-day done-for-you build - llms.txt, schema, entity strength, content overhaul, citations and the measurement stack. From $499.

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