AI agents aren’t “visiting”—they’re routing the journey. Across select datasets, agent/assistant-driven discovery approaches ~30% and has surged 5× in a year. The scoreboard is changing.

Translation: Clicks matter less than being referenced. If an assistant can’t parse and cite your answer, you don’t exist in that flow.

The shift (no fluff)

• Rankings are table stakes. Citations = reach in agent ecosystems.
• “Walls of text” underperform Q&A, bullets, and labeled facts.
• Schema and entities are your handshake protocol with machines.

Try these 3 moves today

1. Structure for AI Rewrite one money page with a top-loaded Answer Block: a direct 2–3 sentence answer, then bullets with crisp facts and an internal link to the deep dive.

Add FAQPage or HowTo schema for that block.

2. Boost citation potential Add Organization + Person schema on About/Team. Use sameAs to your real profiles, list credentials, and include a “What we’re known for” paragraph.

Clean, unique entities get reused by models.

3. Track agent impact separately Create an “AI Referrals” view: watch sources like perplexity.ai / referral, phind.com / referral, you.com / referral, plus branded direct landings on your Answer Blocks. Pair with server-log checks for GPTBot/Perplexity crawls.

Copy/paste: Agent-Ready Answer Block

Question: [Your buyer’s exact question] ​
Direct Answer (2–3 sentences): Short, factual, cite-ready.
Key Points:

• Fact #1 with a number
• Fact #2 with a constraint or threshold
• Fact #3 with a timeframe

Proof/Example: 1–2 lines. Case stat or defensible claim.
​Internal Link: Deeper guide/tool.

Example Schema 👇

Ready to own the agent era?

I’ll map your AI citation strategy in a 30-minute call:

• Your fastest Answer Block targets
• Gaps in schema/entity signals
• How to measure agent-routed wins in GA4/logs

👉 Book your strategy call: Schedule here​

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