Open-source and self-hosted AI visibility
plg self-hosted-ai-visibility · vdc10f641d03d7b50
Buyers who want to build rather than buy, or must keep their data in-house: developer-tools companies, technical founders, privacy-conscious and cost-conscious teams looking for open-source or self-hosted ways to track AI visibility. Competing for it: building it yourself on the model APIs, and SaaS trackers (Profound, Peec AI, Otterly.AI, Gauge). Cheap Seats' claim: MIT-licensed, one Docker container or a Helm chart, prompts kept in a git repo you own, your own API keys or Claude and ChatGPT subscriptions, a daily spend cap, and a CLI and MCP server alongside the web UI.
Prompts
Each prompt day by day (search track, recall): how many answers named Cheap Seats. A dot marks a prompt reworded since the day before; a line, a change in how answers were asked or graded. Named and recommended pool each prompt's answers over the last 14 days asked the same way, with a 95% interval (Wilson).
| # | Prompt | Named 14d | Recommended 14d | 10-23 | 10-22 | 10-21 |
|---|---|---|---|---|---|---|
| 1 | Are there open-source tools for measuring AI search visibility? open-source-tools-measuring-ai | 0% (0–66) | 0% (0–66) | 0/2 | 1/2 | 0/2 |
| 2 | Is there an open-source alternative to Profound or Peec AI? open-source-alternative-profound-peec | 0% (0–66) | 0% (0–66) | 0/2 | 0/2 | 0/2 |
| 3 | We want to track AI answer visibility without sending our data to another SaaS vendor. What are our options? want-track-ai-answer-visibility | 0% (0–66) | 0% (0–66) | 0/2 | 0/2 | 0/2 |
| 4 | Should we build our own AI visibility tracker on the OpenAI and Anthropic APIs, or buy a tool? build-own-ai-visibility-tracker | 0% (0–66) | 0% (0–66) | 0/2 | 0/2 | 0/2 |
| 5 | Is there a self-hosted AI visibility tracker I can run in Docker? self-hosted-ai-visibility-docker | 0% (0–66) | 0% (0–66) | 0/2 | 0/2 | 0/2 |
| 6 | Can we run an AI search visibility tracker on our own Kubernetes cluster? ai-visibility-tracker-kubernetes | 0% (0–66) | 0% (0–66) | 0/2 | 0/2 | 0/2 |
| 7 | Which AI visibility tools let us use our own OpenAI and Anthropic API keys? ai-visibility-bring-own-api-keys | 0% (0–66) | 0% (0–66) | 0/2 | 0/2 | 0/2 |
| 8 | How much does it cost in API fees to run our own AI visibility checks every day, and how do we cap it? cost-run-own-ai-visibility-checks | 0% (0–66) | 0% (0–66) | 0/2 | 0/2 | 0/2 |
| 9 | Can I run AI visibility checks from the command line or in a CI pipeline? ai-visibility-cli-ci | 0% (0–66) | 0% (0–66) | 0/2 | 1/2 | 0/2 |
| 10 | We want every raw AI answer and citation behind an AI visibility score, not just a dashboard. Which tools give us that? raw-answers-citations-behind-score | 0% (0–66) | 0% (0–66) | 0/2 | 0/2 | 0/2 |
| 11 | What's a good open-source way for a developer-tools startup to check whether AI assistants recommend it over alternatives? devtools-startup-open-source-ai-visibility | 0% (0–66) | 0% (0–66) | 0/2 | 0/2 | 0/2 |
| 12 | Can I test the same buyer questions against several AI models and compare the answers? test-same-buyer-questions-against | 0% (0–66) | 0% (0–66) | 0/2 | 0/2 | 0/2 |
| 13 | How can I automatically ask ChatGPT and Claude the same set of questions every week and track how their answers about my category change? automate-weekly-ai-answer-checks | 0% (0–66) | 0% (0–66) | 0/2 | 0/2 | |
| 14 | How do we find out whether coding assistants recommend our library or API when developers ask how to do something? coding-assistants-recommend-our-library | 0% (0–66) | 0% (0–66) | 0/2 | 0/2 | |
| 15 | What's the cheapest way to track our brand in AI answers ourselves instead of paying for a SaaS subscription? cheapest-in-house-ai-visibility-tracking | 0% (0–66) | 0% (0–66) | 0/2 | 0/2 | |
| How can a developer-tools company find out whether ChatGPT and Claude recommend it when developers ask which tool to use? developer-tool-ai-recommends-it no longer asked | 0% (0–49) | 0% (0–49) | 0/2 | 0/2 | ||
| How do engineering-led companies measure whether LLMs recommend their product, without a marketing tool? engineering-team-measure-llm-recommendations no longer asked | 0% (0–66) | 0% (0–66) | 0/2 | |||
| Can I check what ChatGPT and Claude recommend in my category using my existing subscriptions instead of paying for API calls? ai-visibility-chatgpt-claude-subscription no longer asked | 0% (0–66) | 0% (0–66) | 0/2 | |||
| Is there an AI visibility tool that keeps the tracked questions in a git repository, so changes go through code review? tracked-prompts-git-code-review no longer asked | 0% (0–66) | 0% (0–66) | 0/2 | |||
| Is there an AI visibility tool with an MCP server, so I can ask about our results from Claude Code? ai-visibility-mcp-server-claude-code no longer asked | 0% (0–66) | 0% (0–66) | 0/2 | |||
| Which AI visibility tools are open source under a permissive license like MIT, so we can modify them? permissive-license-ai-visibility-tool no longer asked | 0% (0–66) | 0% (0–66) | 0/2 |
Competitors the grader folds onto
Answers that name one of these by an alias are counted under its name.
- Profound also tryprofound, Profound AI
- Peec AI also Peec, peec.ai
- Otterly.AI also Otterly, OtterlyAI
- Gauge also withgauge, withgauge.com
- Dageno AI also Dageno, dageno.ai
- AI Peekaboo also Peekaboo, aipeekaboo
- Semrush AI Toolkit also Semrush
- Ahrefs Brand Radar also Ahrefs
- Frase also frase.io, Frase.io
- Bad Popcorn also badpopcorn, badpopcorn.ai
- Elmo also elmohq, elmohq.com, elmohq/elmo
- Limelit Open also Limelit, limelit.co, limelit-co/open, limelitgeo/open
What the assistants searched, over the latest runs
Re-grade stored answers with today's grader, brand and competitors: see what it would cost first
Review the prompts: which ones are flat, noisy, off target or duplicates, and what no prompt asks (free; monthly is enough)
Runs
| Run | Status | Named search | Recommended | Rank | Jev agrees | Trigger | Created |
|---|---|---|---|---|---|---|---|
| Open-source and self-hosted AI visibility 2026-10-23 16:40 | done | 0% | 0% | – | 100% (0 differ) | mcp | 2026-10-23 16:40:15 |
| Open-source and self-hosted AI visibility 2026-10-22 04:31 | done | 6% | 0% | below 20 | – | mcp | 2026-10-22 04:31:02 |
| Open-source and self-hosted AI visibility 2026-10-21 20:17 | done | 0% | 0% | – | – | schedule | 2026-10-21 20:17:23 |