The problem it fixes
Sound familiar?
- 01
Your buyer asked an AI assistant for options. Your competitor was in the answer. You weren't.
- 02
Your site looks great in a browser, but AI crawlers that don't run JavaScript see a blank page.
- 03
The web describes your company three different ways, so the models skip you.
What I draw on
The playbooks behind it.
Technical SEO
Crawlable, server-rendered, fast pages with clean structure and structured data.
How LLMs read and cite
Answer-first sections, specific sourced facts and consistent entity details are what retrieval systems quote.
Third-party citations
Reviews, listicles, communities and podcasts often shape AI answers more than your own site.
Frameworks are public. The harness applies them to your business using your data, your customers' words and judgment from three exits, then checks every output against the same standard.
What the harness does
What actually happens.
- Runs 25–50 real buyer prompts across ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews
- Audits whether search and AI crawlers can actually read your site
- Builds an entity fact sheet so every profile says the same thing
- Plans the comparison, use-case and data-led pages that earn citations
- Tracks AI share of voice and AI referral traffic every month
- Prompt baseline saved with dates
- Technical blockers have owners
- Every published page answers a real buyer question first
From no AI Overview visibility to routinely recommended on high-intent B2B terms.
Related reading
Go deeper.
What you keep
Yours, documented.
- AI-visibility baseline and monthly tracker
- Technical fix list
- Entity fact sheet
- Content and citation plan
When it happens
Baseline in week 1 of the Fear Audit. Ongoing in a fractional engagement.
Tell me what you're avoiding.
30 minutes with me, not a sales rep. You'll leave knowing whether your problem is strategy, systems or capacity, even if we never work together.
Book a call with Andrew