Find where your website and lead system are leaking customers.

Most businesses do not need another AI tool. They need a clearer offer, a better path from visitor to booked call, and a practical system for turning buyer questions into qualified leads.

The AI Customer Acquisition Audit reviews the customer-acquisition loop you already have: how buyers find you, what they see, what they believe, what they click, and what happens next. The output is a prioritized plan for what to fix now, what to test next, and what to leave alone.

What the audit includes

Website and offer audit — whether a qualified buyer can understand who you help, what problem you solve, what outcome you create, and why they should trust you.
Lead-capture and booking-flow review — the contact forms, booking links, calls to action, mobile friction, and follow-up path that turn interest into conversations.
Search and content demand scan — buyer questions, missing pages, weak content, and practical content or video angles that can attract the right people.
AI opportunity map — where AI can help with research, drafting, follow-up, reporting, or workflow without pretending the whole business can run on autopilot.
10 customer-acquisition angles — usable angles for content, ads, outreach, or landing-page tests.
14-day action plan — a short list of fixes and tests ranked by evidence, effort, and likely impact.

Who it is for

Local service businesses with a real offer and inconsistent online lead flow.
Consultants, advisors, and expert-led firms that need more qualified conversations.
Small B2B companies with a website but no clear customer-acquisition system.
WordPress and local-business site owners with stale content, plugin sprawl, weak forms, or unclear calls to action.

This is not for one-click AI money promises, unmanaged autonomous ad spend, or businesses that do not yet have a real offer and service capacity.

The five-lane review

Offer clarity — who the buyer is, what problem is solved, what outcome is promised, and what proof exists.
Website conversion — page structure, mobile clarity, calls to action, trust signals, forms, and booking paths.
Search and content demand — what buyers are already asking and which pages or videos should exist.
AI leverage — what AI can safely help research, draft, summarize, classify, or monitor.
Follow-up and measurement — where leads go, how fast response happens, and what gets reviewed each week.

No vague AI recommendations

Every major finding is tied to evidence: a URL, screenshot, search observation, booking path, form path, analytics screenshot if provided, or walkthrough note. Recommendations are sorted into three groups:

Fix now — high-confidence leaks that should be corrected first.
Test next — promising ideas that need a small controlled test.
Park — ideas that may be useful later but should not distract the first sprint.

The audit does not promise revenue increases and does not hand an agent unmanaged control of ad spend. It shows the practical places where AI-assisted work can improve the customer-acquisition loop under human approval.

Typical next steps

After the audit, the work usually goes one of three ways:

You execute the prioritized fixes internally.
Corriston scopes a focused implementation sprint.
A deeper pilot turns the audit into a manual marketing-agent workflow, content engine, or Website Ops Desk plan.

Book a fit call → — we will look at your site, offer, and lead path, then decide whether the audit is worth doing.