Nearly a year ago, we introduced the AI Domain Impact Index to answer a question that was top of mind in the age of GenAI:
Which media outlets are most influential with large language models and which are most likely to have their content surfaced within GenAI engines?
As AI-powered discovery reshaped how audiences research and evaluate brands, generative engines moved from indexing content to actively selecting which sources to surface. But measurement hadn’t caught up. There was no clear framework for determining what actually drives earned media to influence AI-generated responses — or causes it to be left out entirely.
So we built the Impact Index to define what media influence means in an environment shaped by AI.
The Impact Index assigns a proprietary score to any web domain on a 0–100 scale. A higher Impact Score reflects a greater likelihood that content published on that domain will be surfaced within generative AI responses across platforms. In other words, it measures how structurally positioned a publication is to influence AI-driven discovery.
Since the launch last February, the AI Domain Impact Index has tracked thousands of earned placements across more than 1,600 domains, capturing how AI visibility shifts as search behavior, content accessibility and publisher decisions evolve.
Key Takeaways
- High-impact AI visibility is measurable. Roughly 25% of the media outlet domains evaluated score in the high-impact range, indicating a stronger structural likelihood of contributing to AI-generated answers. AI influence is not universal, but it is also not limited to a tiny handful of publications.
- Low AI visibility doesn’t equal low credibility. Gated, JavaScript-heavy and newsletter-driven platforms can be trusted by human audiences but often have limited impact in AI-mediated discovery.
- PR strategy now answers to editors and AI systems. High-impact teams are prioritizing placements that compound long-term AI visibility and reframing outlet strategy around influence durability, not just reach.
The Media Outlet Scoring Spectrum
We’ve used the Impact Index to analyze approximately 4,800 earned media placements. The average outlet score sits in the mid-60s, with a slightly higher median. Roughly 25% of media outlet domains evaluated scored in the high-impact range, indicating that while AI visibility is widespread, stronger structural traits are concentrated among a meaningful subset of outlets.
Highest-Performing Outlets
Some of the most consistently high-scoring outlets include:
- Apple Podcasts
- NerdWallet
- Yahoo Tech
- USA Today
- CNN
- Business Insider
- TechTarget
Despite differences in format and audience, these outlets share structural traits that materially affect AI visibility:
- Strong organic authority built over time
- Consistently crawlable, text-forward content
- Clear topical focus that AI systems can reliably interpret and reuse
- A meaningful volume of content accessible outside the paywall
High AI Domain Impact Index scores are not a proxy for editorial quality. They reflect how content is published, indexed and made accessible to LLMs. These outlets not only reach human audiences, but are legible to AI systems by design.
Low-scoring outlets often share a core constraint: limited AI accessibility. Heavy gating, JavaScript-dependent rendering and weak organic signals reduce how reliably AI systems can read and reuse their content.
This doesn’t reflect editorial quality. It reflects structural visibility. In AI-mediated discovery, accessibility increasingly determines influence.
Outlet Rankings Are Regularly Shifting
One of the most valuable insights from the Impact Index isn’t just which outlets rank highest. It’s how rankings change over time and what those changes reveal about AI visibility.
For example:
- AdAge.com declined from a score of 67 in May to 37 in January, driven largely by measures that limit access from AI engines. While the publication remains influential with human readers, reduced crawlability directly impacted its AI visibility.
- AgileBrandGuide.com increased from 65 to 78, driven by stronger organic search performance, improved indexable content and clearer topical authority.
- Business Insider became more relevant to AI answers in Google Search and more of their content was included in the RAW HTML as opposed to only showing up when the page is rendered. Most often, AI is only going to leverage the content if it is in the HTML.
These shifts illustrate an important reality: AI visibility is not tied to prestige. It’s tied to accessibility and structure.
What’s Actually Impacting Outlet Rankings?
For marketers, the drivers of movement tend to fall into three categories:
- Access to content
- Site structure and crawlability
- Organic authority and topical depth
When publishers adjust any of these factors — intentionally or unintentionally — their AI influence can rise or fall quickly.
That’s why tracking movement over time is critical. An outlet that drives strong AI visibility today may lose structural accessibility tomorrow. Without measurement, those shifts are invisible until brand presence in AI-generated answers declines.
AI visibility is dynamic. Publishers are constantly making product, platform and monetization decisions that affect how machines interpret their content. The Impact Index helps PR teams see those changes early before they materially affect client outcomes.
1. Access to Content
How much content is publicly accessible versus gated?
If key articles move behind paywalls or block AI crawlers, AI systems have less usable material to reference.
2. Site Structure and Crawlability
Is the content easily readable by machines?
Heavy JavaScript rendering, fragmented page structures or limited text reduce how reliably AI systems can process and reuse coverage.
3. Organic Authority and Topical Depth
Does the outlet consistently publish focused, search-visible content on specific topics?
Outlets that build sustained topic authority tend to maintain stronger AI inclusion because their content is easier for models to interpret as relevant and trustworthy.
What a Year of Impact Index Data Changes About PR Strategy
After nearly a year of tracking AI influence, the strategic implication for PR teams is unavoidable: Earned media strategy must now serve two audiences — reporters and AI engines — and those evaluators sometimes reward different signals.
Reputation, impressions and legacy tiering remain relevant, but they are no longer sufficient proxies for influence. PR strategy must now account for how AI systems actually process, weight and reuse coverage. This creates both risk and opportunity.
High-impact PR teams are already responding by:
- Prioritizing outlets with stronger AI visibility signals: using data to focus on publications that are structurally more likely to be surfaced in generative search environments, not just those with perceived prestige
- Optimizing owned and contributed content for generative engine optimization (GEO): from drafting bylines and expert commentary with clearer structure and topical authority, to recognizing the renewed value of well-structured press releases that are easily crawlable and reusable by AI systems
- Building media strategies around sustained discoverability: clearly articulating why certain outlets are prioritized based on their likelihood to influence AI-driven discovery over time, not solely on immediate reach or impressions
The Walker Sands AI Domain Impact Index exists to make these decisions defensible. It helps teams quantify AI influence, compare outlets objectively and justify why certain placements matter beyond impressions.
Evolve Your PR Strategy in a Changing Search Landscape
As AI reshapes how information is discovered, the outlets that matter tomorrow will not be defined solely by prestige. They will be defined by accessibility, structure and sustained AI influence.
The AI Domain Impact Index makes that future visible today so PR teams can adapt their media strategies before earned coverage becomes less discoverable in AI-powered search environments.
Learn more about the AI Domain Impact Index and how Walker Sands helps brands build earned media strategies that hold up in AI-driven discovery.
