How to audit your site for AI search visibility (and why most brands fail)

To audit your site for AI search visibility, start with a baseline: ask ChatGPT or Perplexity the questions your buyers ask and note whether you are mentioned. Then work through the three things AI selection depends on: what engines can access, what they understand and what they trust. This guide breaks down each check.

Start here (this is your baseline)

Open ChatGPT or Perplexity and ask:

“best {{your category}} companies”

Or:

“who should I use for {{your service}}?”

Now look at the answer.

• Are you mentioned?

• Where do you appear?

• Who is being recommended instead?

If you’re not there, that’s not random. That’s your baseline.

Why this happens

AI doesn’t “rank” you. It selects sources based on:

• what it can access

• what it understands

• what it trusts

Most sites fail in at least one of these.

This audit breaks it down.

1. Crawl access (can AI reach you?)

AI can only cite what it can retrieve. This is where more sites fail than expected.

• robots.txt allows GPTBot, CCBot, Bingbot

• no critical pages blocked from crawling

• no 4xx or 5xx errors on key pages

• pages load quickly and consistently

• no redirect chains or crawl traps

What most teams miss: They assume: “Google can crawl us, so AI can too.” That’s not always true. Different systems. Different behaviours. Different access patterns.

Reality check: If your site isn’t being retrieved reliably, nothing else matters. No access = no citations

2. Structure & clarity (can AI understand you?)

Even if AI can access your site, it still needs to interpret it. This is where most “good SEO” sites fall down.

• Organisation schema is implemented

• Article schema includes author, date, organisation

• FAQ schema answers real questions

• Author pages exist with clear credentials

• Meta descriptions accurately summarise content

• About page clearly explains who you are and why you’re credible

What most teams miss: AI does not handle ambiguity well. If your content is vague, unattributed or loosely structured – it is far less likely to be used.

Reality check: AI prefers: clear, structured, attributable information. Not just “well written” content.

3. Content depth (are you worth citing?)

This is where most content strategies fail. Not because they’re bad. Because they’re replaceable.

• Do you include real numbers and examples?

• Do you provide original insight or just summarise?

• Is content updated regularly?

• Are claims backed by sources or evidence?

• Do you answer specific, high-intent questions?

What most teams miss: AI is not looking for: more content. It’s looking for: better answers. If your content looks like everything else online – it gets ignored.

Reality check: Citations go to: the clearest answer, the most defensible source, the easiest content to extract from.

4. Authority signals (can AI trust you?)

This is the layer most teams underestimate.

• Do you have press mentions or coverage?

• Are you referenced by other credible sites?

• Do you have real testimonials and case studies?

• Are your authors identifiable and credible?

• Is your brand consistently represented across the web?

What most teams miss: Authority is not just backlinks. It’s: consistency, reinforcement, recognition across multiple sources.

Reality check: AI is making a judgement call: “Is this safe to include in an answer?” If the answer is unclear, you don’t get cited.

The missing layer: competitor reality

This is where the audit becomes useful.

Run the same queries for your competitors. Look at:

• who appears consistently

• who gets cited first

• what sources AI uses

What you’ll usually find: competitors you didn’t expect, smaller brands appearing more often, patterns in how content is structured. This is not random. If they appear more than you do – they are structurally easier for AI to select.

Why most teams struggle to do this properly

You can do this manually. But it breaks quickly. You end up juggling:

• multiple AI tools

• inconsistent queries

• subjective results

• no way to track change

The real problem: You don’t just need to check once. You need to:

• test multiple queries

• compare against competitors

• track changes over time

That’s where most audits fall apart.

How this is actually being done now

Instead of guessing, teams are starting to:

• generate real buyer-style queries

• run them across multiple AI systems

• track whether they’re mentioned

• compare against competitors

• prioritise fixes based on impact

That’s exactly what SearchScore does. It:

• generates relevant queries automatically

• runs them across ChatGPT, Gemini, Perplexity, Grok and DeepSeek

• shows if you’re mentioned and where

• highlights which competitors are being recommended instead

• identifies what’s holding you back

• lets you track improvement over time

What your audit should give you

At the end of this, you should know:

• if you’re being cited at all

• which queries trigger mentions

• where competitors outperform you

• what’s blocking your visibility

• what to fix first

If you don’t have that, you don’t have a real audit.

The Reality Most Teams Miss: Most brands assume they’re visible in AI. The data says otherwise. Across hundreds of thousands of sites: most score below 40. Which means: they are rarely or never cited. Meanwhile: competitors are already being recommended. That gap compounds over time.

What a full audit measures: GEO, SEO and CRO

A proper AI visibility audit is not a traditional SEO audit with a new label. SearchScore’s framework measures 250+ individual signals per URL, organised into three disciplines:

• Generative Engine Optimisation (GEO): the AI-specific signals, grouped into 8 categories, that determine whether large language models retrieve and cite your content: semantic coverage, passage retrievability, quotable statistics and claims, entity clarity, and FAQ and schema markup among them. Pages structured as walls of text rarely produce the discrete, citable passages models look for.
• Traditional SEO foundations: AI systems still crawl and index the web, still weigh authority, and still penalise broken or slow sites. Technical crawlability, indexation, backlink authority and internal linking form the base layer; a technically broken site underperforms no matter how GEO-friendly its content is.
• Conversion Rate Optimisation (CRO): citations only matter if the resulting visit converts. The audit checks load speed, mobile usability, above-the-fold clarity, calls to action and trust signals.

Think of the result as a stack: SEO fundamentals are the base, GEO signals sit on top, and CRO determines what happens after retrieval. If any layer fails, the whole stack weakens. The 850,000+ site benchmark then places your score against comparable sites, so you see percentile position, not just an absolute number.