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How do I prioritize which pages to optimize for AI search?

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  • Also asked as:
  • How do I find the highest-impact pages for AI optimization?
  • What's the best order to optimize content for AI search?

Scrunch recommends that users prioritize pages to optimize for AI search by mapping out their website and focusing on pages that receive a high volume of AI bot traffic but have a low number of AI citations. This indicates that AI agents are visiting these pages to answer questions but that the user’s brand is not shaping AI answers.

Additional context: Beyond prioritizing high-traffic, low-citation pages, Scrunch also recommends that users focus on pages tied to their most important prompts and pages related to prompts where competitors currently outperform them in AI responses.

Image from Site Maps tab in Scrunch

Example

For example, a Scrunch user would prioritize and optimize pages for AI search following this workflow:

  1. Find high-traffic, low-citation pages: Open Site Maps to spot pages receiving AI bot visits but earning few citations across tracked prompts—a clear signal of untapped potential.
  2. Audit shortlisted pages: Run a Deep AI Audit on candidate pages to surface JavaScript rendering problems, content misalignment, and other issues that prevent AI agents from citing them.
  3. Optimize page content: Use Optimizer to automatically create an AI-optimized version of the page based on page intent, target persona, tracked prompts, and site-specific sources.
  4. Deliver optimized content directly to LLMs: Deploy updated content via Agent Experience Platform (AXP) to serve AI-optimized pages to LLMs without impacting the human website experience.

Follow-up question: What metrics tell me my prioritization strategy is working?

Scrunch recommends measuring brand presence lift, share of voice gains, and citation increases over 2-3-week windows.

Related FAQs

What benchmarks or baselines are useful when evaluating AI search performance?

Scrunch recommends tracking brand presence, citations, referral traffic, AI agent traffic, and share of voice versus competitors as key performance indicators.

How can I see if my visibility in AI search is improving or declining over time?

Scrunch recommends monitoring AI search trend data like brand mentions and citations consistently over 2-3 week periods to identify real trends versus one-off changes.

How many prompts should I track for AI search?

Scrunch recommends estimating how many prompts to track for AI search using the following approach: X [# of topic clusters] x Y [12-15 questions related to each topic cluster] = Z [# of AI search prompts to track]. The primary goal is to get a representative sampling of data across all customer journey stages via a mix of branded and non-branded prompts.