Add AI Visibility Monitor to Tools & Software / Open Source Data / Evals

[WorkSmartAI-alt]

Adding AI Visibility Monitor, an open-source Python toolkit for tracking ChatGPT, Claude, and Perplexity citations of a given domain.

Why this fits the Open Source Data / Evals subsection specifically:

• It is open-source (MIT licensed) and self-hosted, matching the spirit of the existing entries (AI Product Bench, GEO/AEO Tracker)
• It runs locally on your own credentials with no SaaS dependency
• It targets the specific GEO outcome of measuring citation rate by AI engine over time

Repo: https://github.com/WorkSmartAI-alt/ai-visibility-monitor
License: MIT
Status: Active development, currently used in production for tracking work-smart.ai and a small number of client domains.

Inserted alphabetically between AI Product Bench and GEO/AEO Tracker. Happy to move the entry if a different section is a better fit.

[WorkSmartAI-alt]

Update for the maintainers since this PR has been open for a few days.

The repo shipped v0.2.1 since this PR was opened. Three additions relevant to the open-source / evals / GEO category:

• Multi-engine support: queries Claude + ChatGPT + Perplexity in one run, then unions citations across engines. Useful for evals work where engine variance is the signal.
• Haiku 4.5 default model: weekly cost is now ~$0.30 per run for 5 queries, ~$0.94 for 14. 10x cheaper than the previous Sonnet default. Reproducibility cost matters for eval work.
• New commands: --expand (adjacent query discovery, ranks expansion queries by winnability), --surfaces (auto-categorizes cited URLs by type), avm trend (trajectory across historical runs).

Backward compatible. Sample data set ships with the repo for testing.

Repo: https://github.com/WorkSmartAI-alt/ai-visibility-monitor

If the README entry in this PR needs an update to reflect v0.2.1, happy to revise. Otherwise the existing description should still hold.

Thanks for considering.