A practical, week-by-week guide to improving how AI systems discover, cite, and recommend your business.
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Week 1: Baseline Scan & Entity Basics
- Run your first AI Visibility scan to establish a baseline score
- Identify which AI platforms (ChatGPT, Claude, Gemini, Perplexity) currently mention your brand
- Audit your entity clarity: Is your business name, category, and value proposition consistent across your website, social profiles, and directories?
- Fix any naming inconsistencies across platforms
- Add or verify Organization schema markup on your homepage
✓ Outcome: You have a baseline score and know where you stand across AI platforms.
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Week 2: Content & Schema
- Add FAQ schema to your most important pages
- Create or update a "What We Do" page with clear, machine-readable definitions
- Add Product or SoftwareApplication schema with accurate pricing and features
- Ensure every key page has a unique meta description and JSON-LD
- Create a glossary or definitions page for your industry terms
✓ Outcome: AI systems can parse, understand, and cite your content accurately.
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Week 3: Distribution & Citations
- Publish an original insight, framework, or data point that others can reference
- Add your business to relevant directories and comparison sites
- Ensure consistent NAP (Name, Address, Phone) across all listings
- Create internal linking between your key pages using consistent anchor text
- Add an /llms.txt file listing your most important reference pages
✓ Outcome: You have built citation pathways that AI systems can follow.
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Week 4: Measurement & Iteration
- Run a second AI Visibility scan and compare to your baseline
- Identify which prompts ("money prompts") produce the best results
- Track which of your pages are being cited — update those pages first
- Set up automated monitoring if available on your plan
- Create a monthly review cadence: scan, compare, update cited pages, repeat
✓ Outcome: You have a measurement loop. AI visibility becomes a product metric, not a one-time project.