Ansvisor combines business data, traditional search signals, and AI Search behavior to discover opportunities, prioritize actions, improve AI visibility, and drive growth.
Turn any viral TikTok video into an ad for your own product in one click. For TikTok Shop sellers and affiliates — no filming, no editing. Free to try.
Open-source ManyChat alternative, built for AI. Omnichannel marketing across WhatsApp, TikTok, Facebook, Instagram, Telegram, Zalo, Email, API, and Webchat 🤖
Open-source AI Search Intelligence Platform — track, analyze, and improve AI visibility, citations, prompts, competitors, and content opportunities across ChatGPT, Claude, Gemini, Google AI Overviews, Google AI Mode, Perplexity, Grok, and Microsoft Copilot.
Business + AI Search Data → Signals → Actions → Agent-Drafted Fixes → AI Visibility Outcomes
Ansvisor is an open-source, agentic AI Search Execution Platform. It shows how your brand appears in AI answers, finds where you can win, and turns that into work your team can ship. Agents find opportunities, turn signals into prioritized actions and draft the fixes. You approve what goes live.
Connect business data and traditional search signals with AI Search behavior across ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Claude, Perplexity, Microsoft Copilot, Grok, and other AI platforms to discover opportunities, prioritize what matters, and improve brand visibility.
Track prompts, mentions, citations, competitors, AI traffic, and the sources AI systems rely on. Then act on them in the same place: plan content, let the Content Agent draft and fix pages, and follow every action against your AI Search KPIs.
Self-host Ansvisor for free or use the managed Ansvisor Cloud.
We're building Ansvisor in the open because we believe companies shouldn't need another black box to understand a black box.
Our goal is to make AI Search work more transparent, measurable, actionable, and accessible.
⭐ If you believe AI Visibility should be open and community-driven, star the repo — it's how the next team discovers Ansvisor.
Why Ansvisor?
AI Search is becoming a new layer of how people discover, evaluate, compare, and choose brands.
More than a billion people now use AI tools, with billions of AI-powered queries happening every day. Yet most companies are still early: only a small share have an integrated AI Search strategy, and meaningful brand visibility across AI-generated answers remains limited.
This creates a growing gap between how customers discover information and how companies understand and optimize their presence in that discovery process.
Traditional search data tells you how people find you through search engines. AI Search introduces another layer: which prompts influence discovery, whether your brand appears, how competitors are represented, which sources AI systems rely on, when your website is cited, and whether that visibility translates into traffic and business outcomes.
Instead of treating AI visibility as another isolated analytics dashboard, Ansvisor connects business data, traditional search signals, and AI Search behavior to help teams understand what is happening, discover where opportunities exist, prioritize what matters, and take action.
Agents do the groundwork. They surface opportunities, prepare briefs and drafts, and keep actions moving. People stay in charge of what ships.
With Ansvisor, you can:
AI Search Execution Platform — Bring AI visibility, prompts, citations, competitors, AI traffic, content, and execution workflows together in one platform.
Action Center — Turn signals across your workspace and connected data sources into prioritized actions and tasks aligned with your AI Search KPIs.
Agentic Content Editor — The Content Agent writes and fixes pages from your prompts, query fan-outs, and cited pages, checks them against your content rules, and waits for your approval before anything changes.
AI Brand Mentions & Sentiment — See how AI platforms describe your brand: the exact quotes, the sentiment, and where you appear in each answer, compared with your competitors.
Prompt Monitoring & Volumes — Discover and track relevant prompts, analyze demand, and measure how your visibility changes over time.
AI Citation Monitoring — Discover which domains, URLs, competitors, and third-party sources AI systems cite.
Ansvisor is built for teams that want transparency, flexibility, and control.
Inspect the code, contribute to the platform, and deploy Ansvisor on your own infrastructure — or use Ansvisor Cloud without managing infrastructure yourself.
Whether you're an enterprise, agency, e-commerce brand, SaaS company, startup, or developer, Ansvisor helps turn business and AI Search data into signals, actions, and tasks designed to improve AI visibility outcomes.
Supported AI Platforms
Ansvisor helps you monitor and analyze brand visibility across:
AI Search is still evolving, and we don't believe its measurement and optimization should happen behind another black box.
We're building Ansvisor together with our open-source community around a few simple principles:
Evidence over dogma
Measurement over assumptions
Transparency over black boxes
Outcomes over vanity metrics
Collaboration over closed innovation
Developers, marketers, SEO/AEO/GEO practitioners, researchers, agencies, and companies are welcome to contribute through issues, feature ideas, pull requests, testing, documentation, and feedback.
Get Started
Ansvisor Cloud
The fastest way to get started without managing infrastructure.
Edit both .env files and fill in your credentials. See the comments in each file for guidance.
2. Set up the database
Run the migration SQL to create all tables, indexes, RLS policies, and triggers:
Option A — Supabase Dashboard (fresh install, one paste):
Go to your project's SQL Editor
Paste the contents of supabase/schema.sql — the full schema (every migration in one file) — and click Run
Option B — Supabase CLI:
npx supabase link --project-ref <YOUR_PROJECT_REF>
npx supabase db push
supabase/schema.sql is a generated convenience for fresh installs. The numbered files under supabase/migrations/ stay the source of truth and the upgrade path — an existing install adds only the new migration(s) (or db push). Regenerate the consolidated file after adding a migration with bash supabase/build-schema.sh.
Demo data (local only)
For local development, supabase/seed.sql ships a small fixture (one demo org, brand, prompts, ~120 prompt results across all tracked engines, competitors, content opportunities, AI traffic logs). It runs automatically the next time you do:
npx supabase db reset
Sign in with [email protected] / demo123 and you'll land on a populated dashboard — no provider API keys needed to iterate on UI. The seed only runs against a local Supabase via the CLI; hosted projects are unaffected.
3. Install dependencies
cd web && yarn install && cd ..
cd server && npm install && cd ..
4. Start dev servers
# Terminal 1 — frontend
cd web && yarn dev # http://localhost:3000
# Terminal 2 — backend
cd server && npm run dev # http://localhost:80
Docker
# Configure env files first, then:
docker compose up --build
Self-hosted vs Cloud
Set IS_CLOUD=false (default) in server/.env and NEXT_PUBLIC_IS_CLOUD=false in web/.env.local for self-hosted mode. All features are unlocked automatically — no Stripe or payment setup needed.
Backend — Express, Vercel AI SDK, multi-provider AI (OpenAI, Anthropic, Google, Perplexity, Grok), Supabase, Socket.IO, Zod
What's next
What we're planning to build next. React with 👍 on the linked issue (or open a new one) to push something up the list. PRs welcome on any of these.
Ansvisor MCP server — expose insights through a Model Context Protocol server so Claude Desktop, Claude Code, Cursor, Zed, and any other MCP client can query your brand visibility directly. Remote (Streamable HTTP) endpoint at /api/mcp — zero install, paste a URL + API key into your client and you're done. Ships with list_brands and get_visibility_summary today; more tools landing as we go.
Anthropic Skills — opinionated AEO knowledge that turns Claude into an analyst on your account. Ships in two flavours: an MCP-tool flavour for Claude Desktop / Claude Code / Cursor / Zed, and a standalone REST flavour for claude.ai web (no MCP required). First skill (ansvisor-aeo-coach) is live — see skills/. More (page-audit, rewrite-for-aeo, content-brief) on the way.
In-product conversational AI assistant — chat with your dashboard about visibility trends, competitor moves, and content gaps without leaving the page
ScrapeLLM integration — add ScrapeLLM as an alternative scraping backend alongside Cloro for users who prefer it or need a fallback
PostHog integration — pipe AI-referred sessions and tracking events into PostHog for users already running it as their product analytics layer
Daily Pulse — a per-brand daily digest email after each tracking run: KPI strip, highlights (first citations, prompt gains, leaderboard overtakes) and anomaly warnings (sharp visibility drops, competitor surges, lost citations), plus a daily_pulse.created webhook event for Slack/Notion delivery (#540)
BYO LLM keys — bring your own OpenAI / Anthropic / Gemini API key for tracking and content generation, so you control cost and data handling
Webhook recipe library — one-click Notion / Linear / Asana / Slack templates so a Content Brief can land in your editorial workflow with zero glue code
See an idea missing? Check the Ideas discussions — upvote an existing one or open a new thread.
Contributing
We welcome contributions! See CONTRIBUTING.md for development setup, branch naming, commit conventions, and PR guidelines.
