Question 1

What is the Three-Layer Approach (3LA)?

Accepted Answer

3LA is an AI visibility framework that scores every piece of web content on three layers: L1 Human (readability, trust signals, UX), L2 Search (technical SEO, structured data, Google ranking signals), and L3 AI/GEO (how ready the content is for ChatGPT, Claude, Perplexity and Gemini to retrieve and cite – structural readiness, not observed citations). You get a single number out of 100 and concrete actions to lift it.

Question 2

What is GEO?

Accepted Answer

GEO (Generative Engine Optimization) is the practice of structuring web content so AI models cite it verbatim inside generated answers, not just rank it in a list of blue links. Where SEO optimises for position in a SERP, GEO optimises for being the source of the answer itself.

Question 3

What do L1, L2 and L3 actually mean?

Accepted Answer

L1 is what a human reader experiences: clarity, flow, one H1, short sentences, visible trust signals. L2 is what search crawlers see: title/meta, JSON-LD coverage, internal linking, canonicals. L3 is what AI models need to cite you: FAQPage schema that matches visible FAQ, atomic content units, a /llms.txt summary, explicit author and organisation. The 3LA score (LayerScore™) is a weighted composite: L1 Human × 30% + L2 Search × 40% + L3 AI × 30%, on a scale of 0–100. Search carries the highest weight because search infrastructure underpins AI retrieval. LayerScore measures structural readiness, not observed AI citations.

Question 4

How is GEO different from SEO?

Accepted Answer

SEO optimises for ranking in a list of blue links. GEO (Generative Engine Optimization) optimises for being cited inside an AI-generated answer. The mechanics differ: AI models prefer structured chunks, clear Q&A format, strong trust signals, and citeable factual claims – not just keyword density and backlinks.

Question 5

Which AI models do you test against?

Accepted Answer

The audit measures your page: how ready it is for people, search engines and AI systems. It does not ask AI models about your brand. Brand Analyzer does that, across GPT, Claude, Gemini, Perplexity and Mistral.

Question 6

Do I need technical skills to use 3LA?

Accepted Answer

No. Paste a URL and you get a full report with prioritised actions in ~45 seconds. For WordPress sites, the 3LA Connector can publish the improved content with one click.

Question 7

What does the free trial include?

Accepted Answer

5 free credits. One audit uses one credit. No credit card required: you log in with a link sent to your email.

Question 8

What is the Structural Proof Gap (SPG)?

Accepted Answer

SPG measures the distance between what your page claims in text and what it proves in machine-readable markup. A page that states a price, an author, a rating or an opening hour in prose, but ships no matching JSON-LD, gives an AI answer engine nothing to quote – so it quotes a competitor who did. Every audit counts the claims on the page, counts how many have structured proof, and reports the uncovered ones with the exact schema to add.

Question 9

Why does the proof gap matter more than keywords?

Accepted Answer

A generative engine has to attribute the sentence it produces. If your claim exists only in prose, citing you is a risk it will not take; if the same claim is in JSON-LD, it becomes a fact the model can lift with a source. That is why closing the proof gap moves the L3 score, while keyword density does not.

Question 10

How often should I re-audit?

Accepted Answer

We recommend weekly for active optimisation sprints and monthly for steady-state monitoring.

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