Google Isn’t an Expert — So How Does It Judge Your Website?

So how does Google rank your website when they are not an authority they don’t know anything about your expertise so how do they do it?

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Google uses mathematics

If Google doesn’t understand your industry, why does it get to decide who ranks? And how does it make that decision with any authority? Google decides who gets visibility, who gets customers and who gets ignored — yet Google is not an expert in your field. It doesn’t understand your industry the way you do. It doesn’t judge your content like a specialist. It doesn’t read your pages the way a human reviewer would. So how does a machine with no real-world knowledge of your profession determine whether your website deserves to rank? It does it through AI models, mathematical systems and behavioural predictions — not expertise.

Google Doesn’t Review Your Website Like a Human

No one at Google is reading your articles, checking your facts or evaluating your insights. There’s no human panel comparing your expertise to your competitors.

Google judges websites using:

  • AI models
  • semantic understanding
  • link-based trust signals
  • behavioural statistics
  • billions of historical patterns

It’s not judging whether you’re right — it’s judging whether you look like the sources it already trusts.

So Who Is Google to Criticise Your Website?

Google didn’t earn authority by knowing your industry. It earned authority by becoming the gateway to information. Its power comes from scale, not knowledge. Because billions of people use Google, Google becomes the default judge — not because it understands, but because it measures.

And it measures everything.

How Google Judges Your Website Without Understanding It

Google doesn’t need to understand your field. It only needs to recognise patterns associated with expertise. Those patterns are measured using mathematics. Here are the four major systems behind modern rankings:

1. Graph Theory — How Google Measures Authority Through Links

Google sees the web as a giant network of nodes (pages) and edges (links). Graph theory lets it determine:

  • which pages act as hubs
  • which pages act as authorities
  • how trust flows across your internal links
  • which pages leak authority
  • which ones gain it
  • whether your site structure supports your expertise

This is the foundation of PageRank.

Our expertise explained in more detail:

2. Markov Models — Predicting User Journeys and Ranking Shifts

Google uses Markov modelling to understand probability-based behaviour:

  • where users click
  • where they move next
  • when they drop off
  • which path they choose repeatedly
  • when they seem satisfied

These patterns allow Google to predict whether your content will satisfy future users. If the prediction is negative, you fall. If the prediction is positive, you rise.

How this works:

3. Semantic Vector Models — Google’s Way of Understanding Meaning

Google doesn’t read sentences like a human. It converts them into vectors — mathematical representations of meaning.

This helps Google determine:

  • whether your content covers the topic deeply
  • how your meaning compares to trusted sources
  • whether your writing reflects expertise
  • if you fit into a recognised subject cluster
  • whether your brand is consistently understood

4. Behavioural Probability Models — Does Your Page Actually Satisfy Users?

Google evaluates how people behave on your site:

  • do they stay?
  • do they bounce?
  • do they scroll?
  • do they come back?
  • do they explore more pages?

These signals form probability models that influence your ranking.

How TGBarker Analyses Your Website Using the Same Systems Google Relies On

At TGBarker, I assess your website using the same mathematical principles, AI logic and pattern-recognition systems Google uses — because that’s the only way to produce predictable, reliable rankings.

A. Graph Theory Evaluation (Authority Flow Audit)

I map your internal links, authority distribution and structural weaknesses — exactly how Google interprets your site in the web’s wider network.

B. Markov Behaviour Analysis (Predict User Flow)

I model the probability of user movement across your site so we can strengthen the pages Google believes are “settling points.”

C. Semantic Vector Alignment (Content Meaning Audit)

I analyse your content’s meaning, depth and coverage to ensure Google’s models interpret your expertise correctly.

D. Behavioural Probability Review (Engagement Expectations)

I evaluate where users pause, where they drop off, and where friction exists — matching the same behavioural signals Google rewards.

Why This Matters

When your website aligns with the same ranking logic Google uses:

  • your authority becomes clearly visible
  • your internal linking supports ranking movements
  • your content matches semantic expectations
  • your user signals strengthen
  • your expertise becomes mathematically recognisable

This is how you rise — not by chasing hacks or unattainable keyword rankings, but by matching the actual system Google uses to judge your pages.

For a Private and Confidential Audit, Please Contact Gordon Barker

I will analyse your website using the same structural, semantic and mathematical principles Google applies — and show you exactly how to position your expertise to rise in the rankings.