Contextual AI is an AI-based, custom 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 of content, 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?). A neural network produces an embedding vector of the content, allowing full webpages to be indexed for contextual relevance.

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. These segments have an additional cost of a $0.25 CPM that will be added to the all-in cost of media.

To create a Custom Contextual Audience, go to the ‘Audiences’ tab and select ‘New Contextual Audience’. Give the Audience a name and select one of the Input Types:

• URLs: Enter source sites below that represent your brand’s target content, this should be the Full URL including the scheme, subdomains, and all subdirectories. Sites should be text rich and not behind a paywall. Enter each URL on a new line.
  • Aim for a minimum of 3-5 example pages per contextual segment. Closer to 10 may provide good results depending on the subject.
  • Choose the number of examples based on how broad or narrow you want to match. If you want to go for something really broad (for example, “current events”, an IAB category), you’ll want a number of examples covering many aspects of such a broad subject (in December of 2022 I might include examples covering inflation, the Ukraine war, midterm elections, twitter, gpt-3, Donald Trump, Joe Biden and the World Cup for example). On the other hand, if you want to get very precise, for example “1960s muscle cars” you can get away with fewer examples.
  • Look for pages that are text-heavy with at least 5 sentences. Low quality pages (e.g. infinite scroll, interactive, or image heavy pages) will have lower performance in the matching process. News articles, blog posts, how-to articles, etc will provide more accurate matches.
• Text: Enter a descriptive paragraph of text about the topic of interest to build a list of contextually relevant URLs for targeting. Text should have a minimum of 50 words and maximum of 500.

To learn how to associate Contextual AI Audience Segments to a Campaign, continue to the following documentation: Campaign Audiences

IAB Curated Contextual Segments

In the ‘Audiences’ tab you will find over 300 Contextual AI segments curated by the Pontiac Team for each of the IAB categories. If you click on the name of the segment, you can see the input and the sample output for this segment. The ‘Site List’ section displays the articles that were used to ‘define’ the desired content for the category. The ‘Example Audience Data’ below shows a sample of the matched articles where the ads would serve if this Audience is targeted. This is a sample and not the complete list of URLs contained in the Audience.

Note, these IAB Category segments cannot be edited and they are already available for use across all of your Advertisers at a $0.25 CPM. These can be added in the ‘Associate Segments’ section of the Line Item, under ‘Contextual’.