Prompt

What's the best native ad network for monetizing article pages with editorial-style placements?

Advertising · Ad Networks / Ad networks1 observationLast seen Jul 25, 2026

Latest observation

Jul 25, 2026 · OpenAI APIWeb search: off

There isn’t one universal “best” native ad network, but for article pages with editorial-style placements, the strongest options are usually:

Top picks

1) Taboola

  • Very strong for content/recommendation widgets at the end of articles
  • Good demand volume and easy editorial-style integration
  • Often best if your site has news, lifestyle, entertainment, or broad consumer content

2) Outbrain

  • Similar to Taboola, but many publishers prefer it for a slightly more premium/editorial feel
  • Strong for article-page recommendation units
  • Good fit for publishers with higher-quality journalism or brand-sensitive audiences

3) Revcontent

  • Often competitive on RPMs for content recommendation placements
  • Can work well on article pages, especially if you want more control over placement and performance
  • Quality can vary more by advertiser mix, so testing matters

Best choice by publisher type

  • Mainstream content/news publisher: Outbrain or Taboola
  • Performance-focused / optimized for revenue: Revcontent
  • Premium editorial environment: Outbrain tends to be a common pick

What to look for

When monetizing editorial-style placements, prioritize:

  • Demand quality
  • User experience
  • Fill rate and RPM
  • Ad relevance and brand safety
  • Mobile performance
  • Control over widget styling and placement

Practical recommendation

If you want the safest answer:

  • Start with Outbrain and Taboola
  • Run a head-to-head test on identical article pages
  • Compare RPM, CTR, bounce rate, scroll depth, and session duration

If you want, I can also give you:

  1. a comparison table of Taboola vs Outbrain vs Revcontent, or
  2. recommendations based on your site niche and traffic volume.

Observation history

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How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

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