Top 5 Open-Source AI Visibility Tools to Track Your Brand Across LLMs in 2026

Why AI Visibility Matters in 2026

AI search assistants like ChatGPT, Gemini and Claude are now the first stop for many customers. They shape opinions long before anyone lands on your website. Yet most companies still have no clue how their brand is mentioned in those AI responses.

Enter the AI visibility tool. It’s your window into prompts, citations and sentiment across multiple LLMs. Without it, you’re flying blind.

Here’s the reality:
– LLM-driven traffic is surging—over 800% year-on-year.
– Brands without visibility tools risk missing out on key mindshare.
– Accuracy and presence in AI answers matter as much as SEO rankings.

So, what makes an ai visibility tool worth your time? Let’s dive in.

Key Features of a Great Open-Source AI Visibility Tool

Before we list the top picks, here’s what you should demand from an ai visibility tool:

1. Multi-model coverage
   Tracks ChatGPT, Gemini, Claude, Google AI Mode and more.

2. Prompt-level insights
   See which queries mention your brand and in what context.

3. Actionable dashboards
   Breakdowns by sentiment, share of voice and source domains.

4. Community-driven roadmap
   Regular updates, transparent development and plugin support.

5. Scalability & ease
   Thousands of prompts handled via UI or API without crashes.

6. Open licence
   No vendor lock-in. Customise and extend as your needs grow.

Open-Source vs Enterprise Solutions

You’ve probably heard of Semrush’s AI Visibility Toolkit or Ahrefs dipping their toes into LLM tracking. They’re robust. They’re polished. But they come with hefty price tags, black-box algorithms and limited room to tinker.

Open-source ai visibility tools flip that script:
– You own the data.
– You tailor features to your strategy.
– You minimise costs—ideal for SMEs on a budget.

But you still get enterprise-grade insights. And you can integrate with tools like Maggie’s AutoBlog to automate content fixes when you spot AI-driven gaps. More on that later.

Top 5 Open-Source AI Visibility Tools

1. LLMWatch

LLMWatch is a swiss army knife for prompt tracking.
– Licence: MIT
– Engines: ChatGPT, Claude, Gemini, Perplexity
– Highlights:
– Real-time prompt monitoring
– Sentiment and share-of-voice metrics
– JSON APIs for custom dashboards
– Why it stands out:
– Zero-config installer
– Active community forums
– Limitations:
– No built-in competitor benchmarking

LLMWatch is your go-to if you want an ai visibility tool that’s rock solid from day one.

2. PromptObserver

PromptObserver focuses on depth over breadth.
– Licence: Apache 2.0
– Engines: Google AI Mode, ChatGPT, Anthropic Claude
– Highlights:
– Prompt version history
– Interactive visualisations
– Plugin support for data export
– Why it stands out:
– Gorgeous UI with drill-down options
– Ideal for analysts who live in dashboards
– Limitations:
– Slightly more complex setup
– Smaller community than LLMWatch

3. VisioAI

VisioAI gives you a single pane of glass.
– Licence: GPLv3
– Engines: ChatGPT, Gemini, Grok, Llama
– Highlights:
– Unified brand performance report
– Automated alerting on negative sentiment
– Multi-language prompt support
– Why it stands out:
– Built-in crawler logs
– Quick start wizard for non-technical users
– Limitations:
– Lacks advanced API integrations
– Occasional data lag on peak days

4. BrandSeer

BrandSeer is built by a group of marketing technologists.
– Licence: LGPL
– Engines: ChatGPT, Perplexity, Claude
– Highlights:
– Persona-driven prompt sets
– Topic clustering and gap analysis
– CLI for bulk prompt imports
– Why it stands out:
– Persona workflows mirror Gumshoe.AI’s approach, but open-source
– Great for teams with defined user journeys
– Limitations:
– Command-line heavy
– Visualisations require third-party tools

5. OpenTrack AI

OpenTrack AI is the newcomer with a focus on integration.
– Licence: MIT
– Engines: All major LLMs via community plugins
– Highlights:
– Modular architecture
– Slack and email alert integrations
– Docker-based microservices
– Why it stands out:
– Perfect for dev-focused teams
– You choose exactly which engines you need
– Limitations:
– Less polished UI
– Requires scripting to tap full potential

Explore our features

Bringing It All Together with Maggie’s AutoBlog

Spot a drop in share-of-voice on Gemini? See negative sentiment creeping into your brand mentions on ChatGPT? Don’t panic. You can feed those insights straight into Maggie’s AutoBlog.

Here’s how:
1. Export prompt gaps from LLMWatch (or any open-source ai visibility tool).
2. Import the list into Maggie’s AutoBlog.
3. Generate fresh, GEO-targeted blog posts to fill content voids.

Within minutes, you’re publishing optimised content that LLMs love. No more staring at spreadsheets all day.

Tips for Maximising Your Open-Source AI Visibility Stack

• Start small: Track 10–20 prompts across 2–3 engines.
• Iterate weekly: Refine prompt sets based on outcomes.
• Collaborate: Leverage GitHub issues for feature requests.
• Automate: Set up cron jobs to sync data into your CMS or Slack.
• Blend tools: Mix and match open-source options to suit your workflow.

The Bottom Line

Enterprise platforms like Semrush AI Visibility Toolkit excel in scale and polish. But for small businesses and solo founders, open-source ai visibility tools deliver transparency, flexibility and zero-licence fees.

Pair them with Maggie’s AutoBlog and you’re not just tracking your brand—you’re actively shaping its narrative inside AI systems.

Ready to see your brand shine across ChatGPT, Claude and Gemini?

Get a personalised demo