ALFIE

AI RETRIEVABILITY AUDIT

⏱ 24–48hr turnaround

🔍 201-page-scale domain crawl

💳 Credited in full toward ALFIE setup

HERE'S WHAT'S ACTUALLY HAPPENING

Every day, someone asks an AI the exact question your business answers. You just don't see it happen.

There's no search bar to watch. No keyword ranking to check. When a prospective customer asks ChatGPT “who's the best [your service] near me,” or Perplexity “is [your company] legitimate,” the answer gets generated once, shown once, and the click either comes to you, or it doesn't. There's no second chance on that page.

And right now, for most businesses, the answer comes from wherever the AI can find clean, structured, verifiable facts fastest. If your site doesn't hand that over explicitly, in the schema, the entity data, the citations, the model fills the gap with whatever it can infer. Sometimes that's an OTA. Sometimes it's a competitor with cleaner markup and a fraction of your reputation. Sometimes it's just wrong.

You can't fix what you can't see. That's the entire premise of this audit: show you, in forensic detail, exactly what AI currently knows, believes, and gets wrong about your business, before you spend another dollar on marketing that assumes people are still finding you the old way.

AUDIT SECTION 1, EXECUTIVE SUMMARY

One number. That's all anyone will remember. Here's theirs.

Every signal AI weighs before it decides to trust and cite you, Experience, Expertise, Authority, Trust, plus four Sovereign Metrics, gets scored, color-coded, and rolled into one number. This company had real founders, a real board, a real network of a hundred-plus partner businesses. None of it mattered. Here's why.

A 53% isn't a failing business. It's a business that's invisible to the machine that now answers the questions its customers used to ask Google. Every point below 100 is a click, a booking, a customer being handed to someone else instead.

AUDIT SECTION 2, SEMANTIC GRAPH NODE REGISTRY

This is where AI decides whether you're telling the truth.

Every claim your website makes gets checked against the open web and sorted into three piles: verified, backed by evidence, or contradicted. This is the part most businesses have never seen, and the part that determines whether AI repeats your story or writes its own.

Seven contradictions. On one company's own site. Things like claiming to be “leading” with no data to back it up, and a name that collides with half a dozen unrelated companies AI can't tell apart. Every one of those is a moment where AI could recommend someone else instead of you, and never tell you it happened.

AUDIT SECTION 3, DIGITAL FOOTPRINT

Your website is not your digital identity. This is.

AI doesn't just read your homepage. It cross-references LinkedIn, Wikipedia, Wikidata, Data Commons, and whatever else the open web says about you, and weighs all of it before it decides to trust you. Here's what it found off-site.

Zero. Twice. That's not a website problem, you can't fix Wikidata by editing your homepage. This is exactly why “just redo the SEO” was never going to solve this. Your digital footprint is scattered across a dozen platforms you don't control, and almost none of them currently vouch for you.

AUDIT SECTION 4, REMEDIATION ROADMAP

Here's the part that actually matters: what to DO about it.

Every single issue found across the entire 201-page crawl and the full digital footprint gets turned into its own task, priority-ranked, time-estimated, with the exact fix spelled out. Not “improve your SEO.” The actual schema. The actual page. The actual step. Three real examples, pulled straight from the roadmap:

Fourteen tasks like these came out of this one audit, every one traced back to a specific page, a specific fix, and a specific score it moves. That's not a report you file away. That's a punch list your web person could start on this afternoon.