Use your Search Console and Bing queries to generate questions worth testing in AI assistants. These are suggested prompts based on search data, not access to private ChatGPT or Claude conversations.
Only requires a CSV export from Search Console or Bing.
Turn GSC and Bing queries into suggested questions for model testing. Each suggestion starts from your search data; it is not a record of an actual AI conversation.
Hundreds of prompts collapse into a handful of themes so you can see the topic landscape at a glance — and pick which sub-topics to turn into cite-worthy pages first.
Discard prompts you never want to see again and they stay gone across every future regeneration. No noise, no repeated cleanup work.
Package a prompt set with a signed URL and hand it to a copywriter, an agency, or an executive. They see exactly what you see, no login required.
A single CSV or XLSX from Search Console / Bing Webmaster Tools. No API integration required — files stay in your workspace.
Each meaningful query gets an LLM-side rephrase so the wording matches how people actually talk to ChatGPT, Claude and Perplexity.
The output is grouped by topic so a 400-query list becomes a 12-theme map you can act on.
Copy prompts to clipboard, share a signed link, or hand the theme map straight to Content Optimizer to generate a cite-worthy brief.
No. Upload a plain CSV or XLSX export. The GSC direct-connect flow is coming later; the upload path already works with every account, including ones on a locked-down data-processing setup.
No. They are suggested questions generated from your Search Console and Bing queries. The tool does not access private conversations or measure AI prompt search volume.
The prompts are model-agnostic — designed to match natural-language patterns across ChatGPT (GPT-5), Claude, Perplexity, and Gemini. The output is text, not tied to a single vendor.
Yes. One-click share generates a signed URL that renders the prompt set read-only. No signup, no seat cost.
They stay dismissed for that domain across every future regeneration. You clean the list once, not every time.
Not just theory. 3LA was forged in the agency trenches and is now used by brands and agencies across the Nordics to track what AI says about them.
The 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.
Nina Furu
Textbook author and course instructor · Lærebokforfatter og kursleder - ninafuru.no
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.
Marianne Vikne
Web Editor, former Head of SEO at Komplett Group and SEO Advisor at Try · Rolfsenshop.no
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! )
Karianne Berg
Senior Communications Manager · Martinsen & Duvholdt | Skanska
The Three-Layer Approach finally separates AI visibility from generic SEO advice. Sharp, somewhat brutal and opinionated, but practically and actually actionable.
Jørgen Simensen
Founder · Synaro Agency
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.
Andreas Hatlem
Founder, Growth manager · Admirate
Every audit runs against ChatGPT, Claude, Gemini, Perplexity and Mistral — the engines where your customers ask questions before Google.
ChatGPT
OpenAI
Claude
Anthropic
Gemini
Perplexity
Perplexity
Mistral
Mistral AI
3LA plugs into the tools your team already uses – from LLM APIs and search consoles to the delivery surfaces where reports land.
Ahrefs
Bing Webmaster
Google Search Console
GA4
Microsoft Clarity
Plausible
GetCookie
Vertex AI
SocialCrawl
Beautiful Soup
Brønnøysund Registeret
WordPress
Google Docs
Slack
Notion
Jira
NotebookLM
More than 2 billion people encounter AI‑generated answers every month – across chatbots, search, and agents.
ChatGPT alone has reached about 1 billion monthly active users in 2026, with around 900 million weekly users, while other chatbots like Gemini and Claude are growing triple‑digits year over year. (Source: https://www.omnibound.ai/blog/chatgpt-user-statistics)
Google’s AI Overviews already appear in roughly 15–25% of searches, depending on study and market, and now reach around 2–2.5 billion people per month across 200+ countries and 40 languages.
Analyst syntheses of 2025–26 surveys suggest that roughly 20–40% of knowledge workers now use AI assistants or task‑specific agents at least weekly in their workflows
The Zero‑Click AI Economy ChatGPT now has around 1 billion monthly users, Google’s Gemini app reaches hundreds of millions, and AI Overviews surface answers directly in search for billions of people every month. (https://www.cnbc.com/2026/06/12/chatgpt-a-billion-monthly-app-users-despite-souring-public-ai-sentiment.html)
If your content is not optimized for AI citations, you are invisible to the fastest‑growing discovery layer on the web.
See the full AI usage breakdown and platform scorecard →Data last updated: October 2026
Turn search queries into a themed list of questions to test, share and answer with evidence.
Try AI Prompt Tracker freeUpload a performance report containing search queries. An indexing coverage export lists indexing states, not the phrases people searched for. Query-level data gives the prompt suggestions a traceable starting point; it still does not reveal actual conversations in AI products.
Group related suggestions, remove irrelevant topics and choose questions your organisation can answer with evidence. Share the selected set with a writer or turn it into a Content Optimizer brief. Test promising prompts in Brand Analyzer before claiming that they represent an observed AI audience.
No. Upload a plain CSV/XLSX export. No API integration needed.
No. They are suggestions generated from your search queries using language models.
Model-agnostic: ChatGPT, Claude, Perplexity and Gemini. Text output, not vendor-locked.
Yes. One-click signed URL — read-only, no signup.
Sticky per domain. Dismissed items stay hidden across future regenerations.
Hundreds of queries cluster into a dozen actionable themes. Export, share or brief the writer directly.
FROM THE BLOG
AI visibility tools answer three different questions. Is my site built so AI can read and trust it? How often does AI mention me? Is a change in those mentions real? Classic SEO suites answer the first question only partly. Daily trackers such as Peec AI and Profound answer the second, across many engines. The Three-Layer Approach (3LA) answers the first with deterministic structural scoring and the third with repeated sampling and confidence intervals. Most teams need more than one of these. The useful thing is to know which question each tool is actually answering.
Want your brand to be preferred and cited by ChatGPT, Perplexity and Google AI Overviews? This guide walks you through setting up 3la.ai in under an hour, so you can close visibility gaps, optimise your content and compete in AI search (GEO).
BrightonSEO's 10th anniversary edition, held October 8–9, 2026 and drawing roughly 4,500 attendees, was dominated by one theme: GEO (Generative Engine Optimization), AI citations, and agentic recommendations. For anyone building on the Three-Layer Approach, this wasn't new information - it was confirmation.