How Do I Figure Out What AI Sees When It Looks Me Up? | Vibe Code Your Leads

How do I figure out what AI sees when it looks me up?

Direct Answer

Run a three-layer audit: your website (structure, schema, content), your off-page properties (social profiles, directories, mentions), and your identity consistency across all sources. You can do a solid first pass in two to four hours with a browser, Google’s Rich Results Test, and a spreadsheet. The goal is a clear map of gaps and what to fix first.

Cindy Anne Molchany

Cindy Anne Molchany

Founder, Perfect Little Business™ · Creator, Authority Directory Method™

Best Move

Run the three-layer audit in one focused session: website schema check, top five profile review, and a quoted name search on Google. Document everything in a simple spreadsheet, score each item, and fix in order of impact.

Why It Works

You cannot fix what you have not mapped. An audit gives you a clear current-state picture and a prioritized action list. So your remediation effort goes toward the gaps that matter most for AI recommendation, not the ones that are merely visible.

Next Step

After your audit identifies schema gaps, go to Pillar 3 for the complete schema implementation framework. Starting with FAQ schema, author schema, and the full node schema stack.

What to know about auditing your online presence for AI-readiness

What does the website audit layer cover. Schema, structure, and content?

Your website is the most important piece of your digital presence, so the audit starts here. Check five things:

1. Schema markup

Go to Google's Rich Results Test and test your homepage and at least two content pages. Look for:

  • Is there any schema markup at all?
  • Does your homepage have Organization or WebSite schema?
  • Do content pages have BlogPosting or Article schema?
  • Is Author schema present and linked to a named person?
  • Is FAQPage schema present on pages with FAQ sections?
  • Is BreadcrumbList schema present on interior pages?

Pass condition: all content pages have at minimum BlogPosting + Author + FAQPage + BreadcrumbList schema in static HTML source.

2. Content structure

Open View Source on a content page (Ctrl+U or Cmd+Option+U). Search for your H1 tag. Is it a specific question a real person would ask AI? Is there a TL;DR answer block visible before the page requires scrolling? Are H2 subheadings organized as follow-on questions?

Pass condition: H1 is a direct question, TL;DR answer appears in source before the first H2, and H2s are substantive follow-on questions. Not generic section headers.

3. Crawlability

Check your robots.txt file by visiting yourdomain.com/robots.txt. Confirm that GPTBot, Claude-Web, CCBot, and PerplexityBot are explicitly allowed. Or that no specific AI crawlers are blocked. A missing or blocking robots.txt can make your entire website invisible to AI indexing.

4. Author attribution

Does every content page have a visible author name linked to an author bio? Does the Author schema name match a real person with off-site identity (LinkedIn, organization website)? Anonymous content is significantly harder for AI to attribute to an authority.

5. Internal linking density

Check three content pages and count internal links. Each page should link to at least three other pages on the same site. Sparse internal linking signals thin topical depth. Which weakens your authority cluster structure.

What does the off-page properties audit cover. Profiles and listings?

This layer maps every property where you have a presence and checks its quality. Start by running a quoted name search: search "Your Full Name" in Google and note every result. Add a spreadsheet with columns: Platform, URL, Claimed (Y/N), Profile Complete (Y/N), Website Link Present (Y/N), Bio Current (Y/N).

For each property found, check:

  • Is it claimed?. Are you in control of this profile, or is it auto-generated?
  • Is the bio current?. Does it describe your current specialty, not a previous version of your business?
  • Is your website URL present?. Is the URL correct and not broken?
  • Is the profile public?. Can it be accessed without login?
  • Is the name format consistent?. Does it match how your name appears on your website and LinkedIn?

Score each property: 0 (unclaimed / major issues), 1 (claimed but incomplete), 2 (complete and consistent). Sum the scores. Any property scoring 0 or 1 is a remediation priority.

What does the identity consistency audit layer examine?

Cross-reference your top seven properties. Your website, LinkedIn, Google Business Profile, Facebook, Instagram, YouTube, and one industry directory. And check these four fields against each other:

  • Name format. Is it spelled identically across all seven?
  • Professional title. Do all seven describe the same specialty and role?
  • Niche or client focus. Do all seven describe the same type of client?
  • Website URL. Is the same primary URL present in all seven?

Any field that has a different answer on different platforms is a consistency gap. Consistency gaps are typically faster to fix than schema gaps. They require updating text, not adding code.

How do you prioritize your fixes after completing an AI-readiness audit?

After completing all three layers, you will have a list of gaps. Not all gaps are equal. Prioritize in this order:

  1. Crawlability issues. If your robots.txt is blocking AI crawlers, nothing else matters until this is fixed
  2. Missing schema markup. This is the highest-leverage technical fix for AI authority
  3. Unclaimed or broken profiles. Any profile with a 0 score (unclaimed, broken link, inaccessible)
  4. Identity consistency gaps. Different titles, niches, or website URLs across key platforms
  5. Incomplete profiles on high-authority platforms. LinkedIn and Google Business Profile with missing fields
  6. Content structure improvements. H1 specificity, TL;DR blocks, H2 question formatting

Pick the top three priorities and address those before moving to the next layer. A focused remediation on three high-impact gaps does more for your AI authority than a scattered attempt to fix everything at once.

How often should you repeat your full online presence audit?

The first audit is the most intensive. Two to four hours to map the full current state. After that:

  • Quarterly light audit. Check your top five platforms for accuracy and your website schema for any broken markup
  • Positioning change audit. Any time your niche, title, or website URL changes, run the full audit before announcing the change publicly
  • Annual deep audit. Run the full three-layer process once a year to catch drift and add new platforms that have become relevant

This is the practice of Digital Hygiene™. Not a one-time cleanup but an ongoing discipline. The businesses that dominate AI recommendations are not necessarily the most active online. They are the ones whose digital presence is the clearest, most consistent, and most deliberately maintained.

The VCYL Perspective

The reason I built an AI Visibility Scan as the entry point for this site. Rather than a quiz, a workshop, or a free guide. Is that most experts do not actually know what their online presence looks like from the outside. They know what they've created. They don't know what's accumulated, drifted, or broken in the spaces between their intentional creations. An audit is an act of seeing clearly.

When I ran my first serious AI-readiness audit on my own presence, I found six properties I had forgotten existed. Three with outdated information, two with wrong website URLs, and one that described a program I no longer offered. All of them were live, all of them were indexed, and all of them were sending quiet, confident signals about a version of me that no longer existed. AI was reading a composite identity that was partly current and partly historical. No wonder the leads that did come were sometimes confused about exactly what I did.

The audit is the first step of the Authority Directory Method for off-page work. You cannot build a coherent AI authority profile on top of a fragmented foundation. The fixing comes after the seeing. See first, then build.

I also want to say this directly: the audit is not about being perfect. It is about being clear. AI doesn't require a flawless digital presence. It requires a legible one. A handful of well-optimized, consistent properties with strong schema is more powerful than a hundred scattered, half-finished profiles. Clarity compounds. Clutter cancels out. The audit shows you exactly which pieces are doing work and which pieces are just noise. That knowledge is worth more than any single piece of content you could create.

More on auditing your online presence for AI-readiness

How long does a full AI-readiness audit take?

A thorough audit. Covering your website, top five social profiles, three to five directory listings, and a name search review. Typically takes two to four hours. The first audit takes the longest because you are discovering gaps for the first time. Subsequent quarterly audits, once you have a baseline, take about thirty to sixty minutes.

What is the most common AI-readiness gap experts find in their audit?

Missing or incomplete schema markup on the website is the most common gap. Most websites have no structured data at all. No Author schema, no FAQPage schema, no BreadcrumbList. This means AI has no machine-readable signal about who wrote the content, what questions the pages answer, or how the site is organized. Adding schema is typically the highest-leverage fix an expert can make after an audit.

Should I hire someone to do my AI-readiness audit?

You can do a thorough audit yourself using the framework in this post and a free schema validation tool like Google's Rich Results Test. The audit is not technically complex. It is primarily a checklist of presence, consistency, and schema checks. Where professional help is more valuable is in the remediation: adding schema markup, restructuring website content, and writing optimized bios requires either technical skill or strategic writing ability.

How do I know if AI is already finding and indexing my content?

Check your website's server logs or analytics for visits from AI crawlers: GPTBot (OpenAI), Claude-Web (Anthropic), PerplexityBot, and CCBot. If these appear in your logs, your content is being crawled. You can also search for your name and expertise in ChatGPT, Perplexity, and Claude directly. If you appear in responses, AI has indexed enough about you to form a recommendation.

What is the difference between an SEO audit and an AI-readiness audit?

An SEO audit focuses primarily on ranking signals for traditional search engines: keywords, backlinks, page speed, crawlability, and meta tags. An AI-readiness audit focuses on signals that specifically influence AI recommendation: schema markup, entity consistency across platforms, content structure for direct-answer extraction, author attribution, and off-page identity consistency. There is overlap, but AI-readiness adds several checks that a standard SEO audit does not cover.

Related pages

Cindy Anne Molchany

Cindy Anne Molchany

Cindy is the founder of Perfect Little Business™ and creator of the Authority Directory Method™. She helps entrepreneurs. Coaches, consultants, and service providers. Build AI-discoverable authority systems that generate qualified leads without chasing. This site is built using the exact method it teaches.

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