News & Media
Be cited, not summarised away
AI engines are an existential shift for publishers: where Google sent traffic, AI synthesises and (often) doesn't link. The publishers that figured out the dynamics first — schema, llms.txt, citation-friendly content, granular paywalls — are seeing measurable AI-driven brand impressions even where direct traffic dipped.
Why GEO matters here
AI engines aggregate news. The user reads the synthesis and may never click the source. But the *brand* of the news outlet is still mentioned, and that mention compounds.
Publishers that block all AI bots removed themselves from the conversation entirely. The strategic question is not „block or allow" but „which content blocks, with what compensation".
Citation patterns differ wildly by AI engine. Perplexity and Google AIO cite frequently; ChatGPT does so only with browsing. Publishers that track per-engine see clear diversification opportunities.
Typical challenges
- Paywall + AI-bot tension — letting bots index for visibility while monetising human readers
- Stale archive content getting cited over fresh exclusives because of weaker freshness signals
- Author E-E-A-T signals weak — many newsroom CMS systems don't surface author Person schema cleanly
- Hallucination risk — AI engines frequently misattribute quotes or fabricate news details
- Discovery feedback — measuring which articles drove which AI mentions is non-trivial
What GEOnative delivers
- ✓Track which news articles get cited across AI engines, daily
- ✓Hallucination detection — be alerted when AI engines attribute false claims to your brand
- ✓Author-tracking — see which writers' bylines are picked up by AI summarisation
- ✓OnSite Analyzer for archive vs. fresh-content E-E-A-T signal balance
- ✓Section-level visibility — separate Visibility scores for politics, business, lifestyle
Sample buyer prompts
See whether your brand shows up in AI search.
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