01.01
Typo-tolerant search
Find likely advertiser matches even when a brand name is incomplete or misspelled, then confirm the entity before using its records.
Move from a company or question to advertiser dossiers, exact creatives, observed prompt links, landing pages, detected technical signals, and clearly labelled inferred context.
Pro Library is the broad research surface for ChatGPT ad intelligence. It supports typo-tolerant advertiser search, prompt-triggered discovery, advertiser dossiers, creative detail, landing-page review, detected conversion scripts, and inferred context linked back to observed evidence.
Research should begin with the entity or question a person actually has.
01.01
Find likely advertiser matches even when a brand name is incomplete or misspelled, then confirm the entity before using its records.
01.02
Search observed questions and open the advertisers and creatives recorded alongside them.
01.03
Move through related advertisers and categories while keeping sampled coverage separate from a complete market map.
Summaries are useful only when a researcher can open the records behind them.
02.01
Review resolved company identity, observed creatives, prompts, destinations, countries, and dates in one place.
02.02
Inspect the headline, description, image, landing page, and linked prompt evidence available for a captured creative.
02.03
Review observed destinations and detected conversion-script signals without describing them as measured conversions.
The library can organize patterns without pretending to expose private advertiser settings.
03.01
Derive editable audience, need, situation, and constraint hypotheses from observed prompt-to-creative evidence.
03.02
Use entity and market similarity to find research candidates, then verify the comparison against source records.
03.03
Carry selected records into Your Market or the plugin while preserving the distinction between observation, detection, and inference.
Pro Library is a sampled research corpus, not a complete view of all ChatGPT ads. Detected conversion scripts show technical signals found on observed landing pages, not measured conversions. Inferred context hints are analytical hypotheses, not advertisers' submitted settings.