Monitor Brand Visibility Across ChatGPT, Claude & Perplexity with Our Open-Source LLM Tool

Why Open-Source LLM Monitoring Matters for SMEs

If you’re a small to medium enterprise, you know every pound counts. You don’t have a giant marketing team. Yet, your brand could be popping up in AI chats across ChatGPT, Claude or Perplexity—and you wouldn’t even know. That’s where open-source LLM monitoring comes in.

You get:
– Transparency. Peek under the hood.
– Flexibility. Tweak it for your needs.
– Community support. Report an issue, get a fix.

No more black-box dashboards. Just pure visibility.

Spotlight on the Competitor: Keywordly’s AI Brand Visibility Tracker

Keywordly’s solution is slick. They:
– Scan ChatGPT, Claude, Gemini & Perplexity.
– Offer real-time sentiment analysis.
– Show you content gaps where your brand is MIA.
– Let you whip up strategic content to fill those gaps.

They’ve got 450+ brands onboard, stellar reviews and a neat UI. But… there’s a catch.

Limitations of Proprietary AI Brand Tools

Here’s the rub with many closed-source systems:
– Cost. You pay per seat. Your budget shrinks.
– Blind spots. You can’t see how tracking really works.
– Slow updates. You wait for the vendor to add that new AI engine.
– Lock-in. Once you’re in, migrating is a headache.

That’s why open-source LLM monitoring is more than a buzzword. It’s a lifeline for lean teams.

Our Solution: AI Visibility Tracking for Small Businesses

We built an open-source LLM monitoring tool from the ground up to empower SMEs. Simple. Affordable. Transparent.

Our USP:
– Accessible: No PhD required. Setup in under 5 minutes.
– Open-source: Audit every line of code. Suggest changes.
– Community-driven: Plugins, integrations, extensions.
– Affordable: Zero licence fees. Pay only for hosting.

And if you’re craving automated content? We’ve got that covered too. Meet Maggie’s AutoBlog, our high-priority service that auto-generates SEO and GEO-targeted posts based on your site. Pair it with the visibility tracker, and you’re unstoppable.

Key Features of Our Open-Source LLM Monitoring

1. Multi-Engine Coverage

• ChatGPT (180M+ MAUs)
• Claude (10M+ chats/month)
• Perplexity (15M+ searches)
• Gemini (100M+ queries/month)

You decide which engines matter and track them all with one script.

2. Sentiment Analysis

• Positive, neutral, negative mentions.
• Instant alerts on dips.
• Dashboard with colour-coded trends.

3. Competitor Intelligence

• Compare up to 10 rivals.
• Ranking positions per AI engine.
• Market-share insights.

4. Content Gap Detection

• Prompts where competitors shine, you’re absent.
• Opportunity prompts flagged.
• Strategic content suggestions.

5. Integration with Maggie’s AutoBlog

• Auto-draft articles for content gaps.
• AI-optimised for LLM and SEO.
• GEO-targeted versions for local markets.

With our open-source LLM monitoring plus Maggie’s AutoBlog, you discover, create and publish in one flow.

Explore our features

Technical Advantage: Fully Open-Source and Customisable

Unlike closed solutions, you own the code:

• Fork it on GitHub.
• Add new AI engines.
• Build custom sentiment filters.
• Export data via your API.

No vendor roadmap delays. You move at your own pace. That’s real open-source LLM monitoring in action.

How to Get Started with Open-Source LLM Monitoring

1. Clone the repo from GitHub.
2. Install dependencies (pip install -r requirements.txt).
3. Define your brands and competitors in config.yml.
4. Run the tracker (python monitor.py).
5. View live dashboards or export CSVs.

Boom. You’re tracking brand mentions across all top LLMs without hefty licence fees.

Case Study: From Zero to Hero

InnovateLab, a tech startup, went from zero mentions in ChatGPT to a solid 25% share in relevant prompts within six weeks. They used our open-source LLM monitoring to spot negative sentiment spikes on Perplexity, then fed those findings to Maggie’s AutoBlog. The results? A 40% boost in positive brand narrative and 15 new long-tail prompts covered.

Comparison: Proprietary vs Open-Source LLM Monitoring

• Cost
  • Proprietary: Monthly licences + seat fees.
  • Open-source: Free code. Host where you like.

• Transparency
  • Proprietary: Black-box algorithms.
  • Open-source: Full code exposure.

• Flexibility
  • Proprietary: Fixed engine set.
  • Open-source: Extendable to new LLMs.

• Speed
  • Proprietary: Vendor-led updates.
  • Open-source: Community-driven releases.

Future Roadmap

• Workshop series with marketing colleges.
• Plugin marketplace for niche AI engines.
• REST API for dev teams.

All community proposals welcome. That’s the promise of open-source LLM monitoring—we build together.

Wrapping Up

Don’t let big budgets win the AI visibility war. Grab transparency, agility and affordability with our open-source LLM monitoring solution. Track, analyse and create content that keeps you in the conversation across ChatGPT, Claude, Perplexity and beyond.

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