What to Prepare Before AI Ads

Intent prompt library

Map the real questions buyers ask before they buy.

Start with 15–20 real prompts, sourced from sales calls and support tickets, not guesswork.

AI-friendly landing pages

Pages that answer intent fast, with clear next steps.

One clear answer above the fold, then proof, then a single next step — not five competing CTAs.

Competitor comparison pages

Honest "X vs Y" pages the model can cite.

Write the version you'd want a skeptical buyer to read — fair on the competitor, specific on your differences.

Review & citation building

Third-party proof that builds machine-readable trust.

Prioritize sources a model already trusts (review platforms, trade press) over volume alone.

Product / service explainers

Plain-language descriptions of what you do and for whom.

Write it the way you'd explain it to a smart friend outside your industry — no internal jargon.

Location & country pages

Geo-specific relevance for local prompts.

Even a short, honest local page beats a generic global one for location-anchored prompts.

Conversion tracking plan

Know which visits and conversions came via AI.

Tag AI-referral traffic separately from organic search early, or you'll never be able to separate the two later.

Speed & trust elements

Fast pages with credibility cues that reduce friction.

A slow page erodes the trust the AI recommendation just built for you.

FAQ & objection handling

Structured answers to the questions that block a yes.

Write down the three questions your sales team gets asked right before someone says no, and answer them on the page.

Lead capture offers

A reason to convert beyond "contact us".

Give an AI-referred visitor something lower-commitment than "book a call" if they're still comparing options.