The Three-Layer Approach connects page audits, content optimisation and AI visibility monitoring. See what people can understand, what search engines can retrieve and how AI systems describe your organisation.
Audit a page to identify content and technical weaknesses. Run a brand check to inspect AI answers, or examine server logs to understand crawler activity. These are separate sources of evidence: a readable page, a bot visit and an AI citation are not the same outcome.
Choose one canonical URL for each distinct topic. Make its main answer clear, support factual claims and align the visible text with semantic HTML and structured data. Use Content Optimizer to prepare revisions, review before publishing and compare later results with the original baseline.
Audit any URL in about 45 seconds and see how humans, search engines and AI models read your content, then fix the gaps before competitors do.
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 often ChatGPT, Claude, Perplexity and Gemini cite your brand in answers). You get a single number out of 100 and concrete actions to lift it.
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.
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 is the average of all three.
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.
It depends on the module. Every quick audit samples three models in parallel via our LLM gateway – OpenAI GPT-5.2, Anthropic Claude Sonnet 4.6 and Google Gemini 3.1 Pro – running 10-20 prompts scoped to your brand and sector, then aggregating mention rate, citation rank and sentiment into the L3 score. Brand Analyzer and Citation Tracker go further: they probe all five major LLMs, adding Perplexity (Sonar / Sonar Pro) and Mistral Large on top of GPT, Claude and Gemini, so you see cross-model visibility in one view.
No. Paste a URL and you get a full report with prioritised actions in ~45 seconds. For agencies and in-house teams we also offer direct WordPress/Webflow integration so the content brief can be published with one click.
Three full audits, the Command Center dashboard, prompt tracking for one brand, and the Pippa AI content brief generator. No credit card required – you log in via a one-click magic link sent to your email.
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.
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.
We recommend weekly for active optimisation sprints and monthly for steady-state monitoring. The ticker on our landing page shows real 30-day deltas for brands that re-audit regularly – the average lift among winners is measurable within 14 days.
Or pay as you go: from €10 / 119 kr for 10 credits – no subscription, credits never expire.
See all plans & pricingThe Three-Layer Approach (3LA) is a groundbreaking service! In the report, you don't just learn what is wrong with your site, but also what you should do to improve it – specifically tailored to you.
I highly recommend the 3LA platform! It only took a short time from when I joined the waiting list until I was approved and could receive three free analyses. My first impression was brilliant – I found myself saying 'Wow!' and 'You guys have to see this!' The platform provides genuinely valuable insight. A major plus is that the report is clear and accessible from anywhere, and the fact that it can be used on both Shopify and WordPress is truly seamless.
I was lucky enough to test 3LA in the beta version and found it to be a very useful and user-friendly tool – regardless of technical expertise. The analysis you receive provides concrete, actionable suggestions for website improvements and makes it easy to take steps that actually yield results. Additionally, the tool is cost-effective, both in terms of licensing and time spent. Highly recommended! )
The Three-Layer Approach finally separates AI visibility from generic SEO advice. Sharp, somewhat brutal and opinionated, but practically and actually actionable.
A critical gap has emerged between the information we publish and how modern systems actually retrieve it. Our industry colleague, Nickolass at Nettpilot, has addressed this gap by developing The Three-Layer Approach™ (3LA). This is not just another "trend," but a necessary upgrade of digital infrastructure for anyone who wishes to remain relevant in an ecosystem now governed by machine understanding.
