As privacy regulations evolve and cookies deteriorate, Pontiac is focused on developing innovative and efficient targeting technologies for the future of advertising. We are excited to announce the release of Contextual AI, an AI-based targeting solution that performs deep content analysis to find the best contextual placements for your ads.

Contextual AI uses Natural Language Processing (NLP) to digest the content of articles across the web and understand the text the way a human would. By processing entire websites, the AI overcomes the ambiguities in language that over-simplified tools such as keywords can overlook, accurately assigning meaning to the words in context. (For example, does the word ‘Apple’ in this article refer to a company or a fruit?)

Leveraging this rich contextual analysis, Advertisers can build custom lookalike segments from a few sample articles or select from our list of curated contextual segments for over 300 IAB content categories.

How it works:

1. Define your target content:  Provide 4-5 sample articles that represent your brand’s target content.
2. Sample Article Processing: Using NLP, the sample articles are analyzed to achieve a deep understanding of content and meaning.
3. Lookalike Modeling: The algorithm compares your sample articles to millions of URLs across the web to find the closest contextual matches.
4. Custom Contextual Targeting: Matched articles are compiled in a custom segment of full URLs for powerful & precise contextual targeting.

For recommendations on selecting sample articles and more information on how the AI works, see here: Contextual AI