
Overall Score
17
Top 50%
of AI companies
by Articos
Articos is the AI-first user research platform that delivers human-like insights in 30 minutes. No recruitment, no delays. Start free.
Articos is an AI-driven platform for user research and interviews. It uses AI to turn user ideas, landing page designs, and messaging into structured audience conversations, providing valuable insights with high speed and low overhead. It does this without the need for user sourcing or the long wait...

Overall Score
17
Top 50%
of AI companies
Overall Score
17
GitHub Stars
0
Monthly Visits
8K
Community Rating
4.7
Articos is an AI-driven platform for user research and interviews. It uses AI to turn user ideas, landing page designs, and messaging into structured audience conversations, providing valuable insights with high speed and low overhead. It does this without the need for user sourcing or the long wait...
Latest detected signals across traffic, developer activity and community mentions.
Indexed by indexator.ai
Last GitHub push
| Keyword | Volume / Mo | CPC |
|---|---|---|
| articos | 390 | $6.19 |
| ai interview style interviews | 70 | — |
| articos.com | 70 | — |
| artificial societies | 5,430 | — |
| elicit ai | 63,210 | $0.65 |
Starter
$79/moFor
/ monthly
Pro
$199/moFor
/ monthly
Enterprise
$1,500/moFor
/ monthly
Not sure which plan?
custom
Starter
$79/moFor
/ monthly
Articos is an AI-driven platform for user research and interviews. It uses AI to turn user ideas, landing page designs, and messaging into structured audience conversations, providing valuable insights with high speed and low overhead. It does this without the need for user sourcing or the long wait...
Get notified when score, traffic, GitHub or community signals change.
Latest detected signals across traffic, developer activity and community mentions.
Indexed by indexator.ai
Last GitHub push
Six signals, each 0–100, blended into the overall by their listed weight.
Generated from public signals and search intent.
Each dimension is weighted (traffic 20% · community 25% · growth 15% · momentum 15% · innovation 10%) and combined into the overall.
Starter
$79/moFor
/ monthly
Free trial available
| Keyword | Volume / Mo | CPC |
|---|---|---|
| articos | 390 | $6.19 |
| ai interview style interviews | 70 | — |
| articos.com | 70 | — |
| artificial societies | 5,430 | — |
| elicit ai | 63,210 | $0.65 |
Starter
$79/ moFor
Pro
$199/ moFor
Enterprise
$1,500/ moFor
Not sure which plan?
custom
Saves
1.6K
Rating
4.7
3 reviews
Views
952
Category
User interviews
Pros · 5
Cons · 5
Rating distribution
User reviews · 1
Landing page tests with @Articos helped me quickly identify conversion bottlenecks and uncover missing features. The insights were actionable and made it much easier to prioritize improvements that actually impact user behavior.
Release history · 2+
All notable changes to Articos are documented here v2 is a major platform rebuild introducing A/B testing research, and AI-powered persona interviews via Cloud Tasks, a structured report pipeline with charts and citations, deep persona generation, and a fully redesigned UI. The backend was migrated to Python across all primary Cloud Functions. New Research Type: A/B Testing ------------------------------- - New ab-test research type for comparing two variants (e.g., landing page A vs. B) - Variant preview section with live browsing animation during interview setup - A/B comparison sections in the report with side-by-side analysis - Screenshots of each variant proxied through Firebase Storage - Goal selection limited to a single goal per study - Auto-naming support for A/B test research AI Persona Interviews (Step 4) ------------------------------- - Persona interviews now triggered via Cloud Tasks (fully async) - Full interview status lifecycle: not-started > setting-up > in-progress > completed - Interview questions chained via previous_response_id for coherent multi-turn conversations - Research context and roleplay prompt injected into follow-up answers - Medium reasoning effort enabled for interview AI - View Transcript and Follow Up Question buttons on completed interview cards - Preparing the state shown on the interview card during the setup phase - Live browsing animation while AI interviews are running Structured Report Pipeline (Step 5) ------------------------------------- - Full structured report UI with charts, citations, and evidence drawers - Report sections written in parallel for faster generation - Pipeline resumes from the last completed stage on re-entry (no restart) - Progressive loading states with skeleton UI and auto-scroll - TOC sidebar with section navigation and ellipsis truncation on long titles - Expert critique sections with correct prompts per research type - A/B variant screenshots labelled as "Variant A" / "Variant B" in the report - Report download and share buttons with PDF export hook - Public report endpoint updated to serve structured pipeline reports - Section IDs sanitised for Firestore paths - Comparison matrix columns aligned when LLM includes label headers Deep Persona Generation (Step 2) ---------------------------------- - Progressive persona loading -- each profile updates independently as it completes - Geocoding and dynamic persona attributes (country flags, world map pins) - Archetype field rendered in persona card header - OCEAN personality scores normalised to a 1-100 scale- - Location and origin country rules added to the deep persona prompt - Global location diversity enforced (no US default) - Radar chart with secondary attribute dimensions from generate_relevancy_dimensions - Persona card bio tooltip showing full text - Edit persona modal hides AI refinement section when step is completed - Edit/delete buttons disabled on persona cards after step 2 is completed - Generation state persisted across step navigation Auto Study Type Detection (Step 1) ------------------------------------ - Research type (idea-validation, landing-page-feedback, ab-test) now auto-detected from conversation -- no upfront selector - inferredStage returned from backend and consumed by frontend - Conversation saving shifted from backend to frontend - Profile selection is disabled after step completion to prevent race conditions - Research names no longer include _study{n} suffix - Row-based roles UI replaces card grid on ProfileCard UI / Design System ------------------- - Full platform UI revamp (Step 1, Step 2, Step 3 redesigns) - Design tokens replace hardcoded colors and arbitrary spacing values - ActionTooltip component added and applied across the platform - Follow-up chat panel restyled to Articos warm gold/cream design system - Follow-up sidebar collapses on open - Accessibility: aria-label added to all icon-only buttons - Scatter chart uses dynamic domain; persona bio filter fixed [v0.2.8] and earlier ===================== Legacy releases prior to the v2 platform rebuild. See git history for details.
Initial release of Articos.
Q&A · 30
Articos is an AI-driven user research and interview platform that transforms ideas, landing pages, and messages into structured audience conversations. The principal purpose is to generate insightful human-like data quickly and effectively, further enabling teams to make data-driven decisions.
Articos works by conducting simulated interviews and landing page tests. Users express their goals and choose the path to explore their question. Once they share their brief, Articos transforms it into realistic audience conversations and clear recommendations, eliminating the need for user sourcing or waiting weeks for insights.
Articos is predominantly beneficial for agencies wanting to craft evidence-backed pitches, SaaS founders and teams wanting to validate product ideas with limited investment in time and resources, and growth and marketing teams looking to test and optimize their campaigns based on user reactions.
Articos aids in decision making by providing structured insights from simulated audience conversations and landing page tests. By highlighting motivations, objections, confusion points, language patterns, and actionable recommendations from the gathered data, Articos helps inform data-backed decisions, eliminating the need for assumptions.
For landing page tests, Articos allows users to upload their page or share the URL for immediate reactions and breakdowns. By interpreting the audience's perception of the user's message, design, and clarity, Articos provides valuable insights for improving overall presentation and user experience.
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Top 10 in Search & Research.
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