Your B2B site ranks, but ChatGPT and Perplexity cite your competitors instead. Before you commission more content, you need to know which layer of AI visibility is actually broken. Download our eBook to get the tools you need to show up in AI search.
Retrieval, reasoning, and preference gaps each require different fixes. This framework shows you how to audit in the right order so you stop wasting budget on the wrong layer.
Schema markup audit, competitive citation benchmarking, and off-site authority gap analysis. Each phase includes step-by-step instructions and tool recommendations.
What to fix first, what to delegate, and what requires outside help. Includes realistic timelines for each layer so you can forecast when AI visibility improvements will surface.
You’ll walk away knowing exactly which constraint is upstream and what fixing it actually costs.
Traditional SEO audits measure crawlability and rankings for index bots. This framework measures whether language models can retrieve, reason about, and prefer your brand in synthesized answers. Schema, off-site authority, and topical consistency matter far more than keyword density.
Start with ChatGPT, Perplexity, and Google AI Overviews. These three dominate B2B research sessions. Perplexity surfaces citations explicitly, making gap analysis faster and a useful baseline before benchmarking the other two.
The retrieval layer is self-service using Google Rich Results Test and Screaming Frog. Reasoning and preference layers require structured query testing and competitive benchmarking. Most internal teams lack the bandwidth to run those rigorously without at least partial outside support.
Retrieval fixes (schema and site structure) can reflect in AI outputs within four to eight weeks as crawlers reprocess pages. Reasoning and preference gains compound over three to six months as third-party authority signals accumulate and retrieval indexes update.
Content volume fixes the wrong problem if retrieval or preference is broken. Models can’t reason about content they can’t parse, and they won’t cite you over competitors with stronger off-site authority. This audit shows you which layer is the actual constraint before you spend more on content.
No. Fixing retrieval before reasoning is broken wastes the entire spend. The framework is sequenced specifically to prevent that. You fix the upstream constraint first, validate it’s working, then move to the next layer. That’s how you avoid throwing budget at the wrong problem.
Whether you need a new website, better performance, or a smarter growth strategy, we’ll meet you where you are and build what’s next. No guesswork—just clear strategy and execution.