3LA is not a single tool. It is a connected suite where every module feeds the next: the audit finds the gap, Optimizer and Pippa close it, Log Analyzer and Search Insights prove it moved, and Command Center keeps you on track.
Base 1 / 4 · 10 stations
Our free public check runs 8–12 realistic buying questions across the models that matter and returns visibility per model, accuracy vs. your own website (auto-ground-truth from a domain crawl), competitors recommended above you, and the sources AI cites. No card required, no login — an honest snapshot before you decide to go deeper.

EAE is the paid deep-dive: you set the prompts and the correct answers, and we probe the models daily to detect drift, contradictions and missing citations. Get per-prompt accuracy scores, alerts when a model starts saying something wrong, and a full audit trail — with 14-day trial for Team and Agency tiers.

The 3LA Overview brings the three lenses into one place: Digital Footprint (the foundation), AIR (AI visibility) and Social Reach. You see your total AI-readiness as a single clear score — and exactly which lens is holding it back.

Every URL is measured against Layer 1 (humans), Layer 2 (search engines) and Layer 3 (AI systems). You see exactly where the gap is, what it costs, and which fix moves the needle. Layer 3 now includes new GEO grounding checks from Bing's guidelines: archiving/caching, one theme per URL, verifiable facts, structured data and IndexNow.

Digital Footprint is the foundation of 3LA - the sum of the signals that exist about your brand online. We map presence, consistency and authority across sources, so you know what AI has to work with before you measure the impact.

Probes GPT, Claude, Gemini, Perplexity and Mistral in parallel. See how often each model cites you versus competitors, track sentiment, and catch drift before it costs you a quarter.

AI Insights reads Bing's AI search data and breaks it into intent, topic and your share of citations. 'Dark Topics' warnings surface the themes your audience asks about but where you're completely absent - concrete openings to grab before competitors do.

Import Google Search Console and join impressions, clicks and positions directly to the audit. High-traffic pages with a weak L3 become P0. Low-traffic pages with strong structure become easy wins.

Parses raw server logs and isolates ChatGPT-User, PerplexityBot, ClaudeBot, Googlebot and more. See exactly which pages AI crawlers hit, where they 404, and how often they come back.

The reporting layer that joins engagement, search visibility and AI citations per URL — so you can prove the correlation between a 3LA fix and actual traffic, not just a score change.

Base 2 / 4 · 5 stations
Paste a URL or draft. The optimizer returns a version tuned simultaneously for readability (L1), search structure (L2) and AI-citability (L3) — with every recommendation attached, never hidden.

Pippa turns a topic brief into a structured draft with atomic content units, claim-level references and FAQ markup — the substrate AI systems need to cite you confidently.

Ulf diagnoses. Pippa writes. Collab is the thread where they hand off: status badges like 'Suggests Pippa' and 'Content Ready' keep the workflow visible for agencies and in-house teams.

Ads Playbook builds ready-to-launch Google Ads campaign structures directly from your GA4 conversion data and Ahrefs CPC data — grouping keywords by AI-classified intent, ranking ad groups by real tracker conversions, and flagging wasted spend. Beta access on request.

Cross-references Google Search Console impressions with your AI citation footprint to surface pages where humans find you but AI does not. Each URL comes with concrete per-page recommendations (BLUF, FAQ block, schema, link authority) and an estimated recovery opportunity. Weekly email digest optional.

Base 3 / 4 · 2 stations
The cockpit that fuses every module: race day, streak, momentum, top-three priorities and peer leaderboard. Built to answer the only question that matters - what should I do next?

A one-click bridge from Pippa or Optimizer to WordPress. Ship the rewritten page without leaving 3LA, and watch the next audit pick up the score lift automatically.

Base 4 / 4 · 3 stations
Verified 3LA-optimized pages ranked by layer score. Not social-proof theater - a working reference for what high-scoring, AI-citable content looks like in your vertical.

A live gallery of URLs across the 3LA network where the entire funnel is verifiably closed — AI bot log-hit → LLM citation → measured referral traffic. Reverse-engineer the structural patterns behind the ones that work. Beta while we validate the dataset.

Aggregate trends across every page ever audited in 3LA - monthly L1/L2/L3 averages, fail-rate bands, TLD distribution, the structural elements most often missing. Open for reference and citation.

The platform ships fast. Here's what we've added recently.
Connect your own Slack channel to get notified directly when something changes with your brand's AI visibility.
A new view showing how exposed your brand is to shifts in AI mentions, based on the breadth and strength of your visibility.
See how your brand performs compared to others in your industry - right inside the Brand Audit view.
Layer 3 now assesses whether a page is technically eligible for AI grounding: archiving/caching, one theme per URL, verifiable facts, structured data and IndexNow - based on Bing's guidelines.
Read Bing's AI search data and see intent, topic and your share of citations. 'Dark Topics' warnings surface themes your audience asks about but where you're absent.
One total AI-readiness score that ties together Digital Footprint, AIR and Social Reach — and shows which lens is holding you back.
Ready to run your own content through the platform?
FROM THE BLOG

LLMs hallucinate about companies, prices, key people and mandates - and it's costing NGOs, universities, research bodies, financial institutions, political actors and agencies real leads and real trust. Here's the background of the Entity Accuracy Engine, and exactly who I built it for.

Classical AI SEO tools grade your content with an LLM. The Three-Layer Approach measures - deterministically - whether AI can find, trust and cite you. Here's the honest comparison. This article was first published on nettpilot.com

ChatGPT, Claude, Perplexity and Gemini do not share a user base. They share a category name. A 2026 study found only ~11% of domains cited by ChatGPT are also cited by Perplexity. Here is the field guide to a platform-segmented GEO strategy.