We Don’t Just Measure AI Visibility. We Help Build It
AI search is rewriting how brands are discovered, evaluated, and talked about. The question is no longer only “What does our website say?” It’s “What does the rest of the internet say about us, and how is that influencing AI-generated answers?”
Brodeur operates on both sides of the equation: insight and impact. We measure where and how your brand shows up in AI-driven answers, then we act on those insights to increase the likelihood that your organization is included, accurately represented, and cited, by strengthening the signals AI systems rely on most. This work lives at the intersection of AI visibility strategy, earned media, thought leadership, and digital authority.
SEO Optimizes Your Website. GEO Optimizes Your Internet Reputation
While traditional SEO focuses on what you publish on your own site, GEO and AI search are heavily shaped by what others publish about you across the wider information ecosystem. SEO has long been about improving how your owned content performs in search such as your website architecture, page structure, metadata, and keywords. Those inputs still matter, but AI search changes what drives discovery because answers are synthesized from a broader set of sources, often before a user ever clicks through to a website.
In AI search, authority is inferred from the full ecosystem around your brand. That includes earned media, bylined articles, third-party commentary, analyst coverage, social discussion, community conversation, reviews, and user-generated content that help models determine who is credible and worth citing. McKinsey specifically notes that brands need to expand beyond owned pages and address third-party content and communities as part of GEO.
A simple truth follows from that shift: your website tells AI what you say about yourself, but the rest of the web helps AI decide whether to believe it
How Brodeur Increases the Likelihood You’re Cited
We start by identifying where your brand appears across the AI platforms and prompts that matter most to your business. That includes how often you are surfaced, how you are characterized, which sources support those mentions, and where competitors are earning stronger narrative authority.
Then we move from diagnostics to influence. Brodeur develops communications programs designed to strengthen the kinds of sources AI systems rely on, including:
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Earned media coverage in authoritative and category-relevant outlets.
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Bylined thought leadership that defines issues, trends, and decisions in your space.
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Executive commentary and expert perspectives that are quotable, attributable, and easy for AI systems to synthesize.
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Social and community content that reinforces relevance, consistency, and real-world validation.
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Owned content structured to support extraction, citation, and corroboration across the wider web.
This is what makes the Brodeur approach different. We do not treat AI visibility as a narrow SEO reporting exercise; we treat it as a reputation and authority-building discipline designed to improve inclusion in the answer layer.
Why Third-Party Validation Matters More in AI Search
Research from Muck Rack found that more than 95% of cited links in AI responses came from non-paid sources, and 85% of those citations came from earned media. That makes third-party visibility more than a PR outcome — it is now a discoverability input. As that behavior grows, brands that are consistently referenced by credible outside sources are more likely to shape the answer. Brands that rely only on owned content risk being present online, but absent from the narrative AI systems assemble.
To learn how Relevance AI can strengthen your organization's position in AI-driven search, reach out to jpenn@brodeur.com
