Cheap Seats

Cheap Seats vs Gauge

Cheap Seats (cheapseats.dev) is a personal open-source project, MIT licensed and free, and it always will be. Its author wrote it to make his own product better, and Gauge was the inspiration: Cheap Seats started as a small, self-hosted take on it, and it owes Gauge its central idea, that measuring AI visibility is only useful if it ends in work to do. Gauge is a hosted agent-led growth platform whose Action Center lets a team review, assign and track recommended actions, with a monthly content engine on top.

Why Cheap Seats exists

Gauge does a lot. Cheap Seats’ author didn’t need all of it, and already had Claude and ChatGPT subscriptions with tokens to spare. So Cheap Seats is the 20% of a tool like Gauge that you’ll use 80% of the time: ask the assistants your buyers’ questions, grade whether they recommend you, and end every run with a ranked fix list you act on in your own repo. There’s no hosted tier and nothing to upsell.

If you want to get started at no cost, start here. If you grow out of it, Gauge is where Cheap Seats’ author would point you: that team is great, and the prompts that got you started come with you.

Side by side

As of October 2026, from Cheap Seats’ docs and Gauge’s own pricing and home pages:

Cheap SeatsGauge
PriceFree and open source (MIT); runs on your existing Claude subscription (ChatGPT optional)Growth $599/month; Enterprise custom
Where it runsSelf-hosted: one Docker container with SQLite, on Docker, Kubernetes (Helm chart) or an exe.dev VMHosted SaaS
EnginesClaude and OpenAI models, through their APIs or the Claude Code and Codex CLIsGrowth: ChatGPT, Google AI Mode, Microsoft Copilot. Enterprise adds Google AI Overviews, Gemini and Perplexity. Claude and Grok on any plan with your own Anthropic or xAI API key
Your promptsTOML in your own git repo, changed by pull request600 prompts, run daily, on Growth; custom on Enterprise
Web search vs memoryBoth, as separate tracks (search and recall), reported separatelyNot stated
GradingEach answer graded recommended, mentioned or absent, with position, top pick, every product named (share of voice) and objectionsSentiment analysis on Enterprise
What to fixA ranked fix list every run (below)Action Center: “Review, assign, and track recommended actions”, plus a content engine (18 articles a month on Growth)
API / MCPWeb UI, CLI, JSON API and MCP serverMCP and a CLI; Slack integration. API not mentioned
Coding agentsNot coveredGauge Agents runs evaluations with Claude Code, Codex and Cursor

What it costs. Cheap Seats is free and open source (MIT). Claude is required, through a subscription or an API key; ChatGPT (Codex or an OpenAI key) is optional and adds a second assistant’s answers. On your own machine, with a Claude Code subscription, answers, grading and the fix list can all run on the claude CLI, with no API key and no extra spend. Host it and you pay your host (and, in a container, API usage, since the image has no CLIs: about $0.03 to grade a 68-answer run, under a daily budget cap). Cost and budget has the details.

Ranked fix list vs Action Center

Gauge’s Action Center is a workflow: recommended actions that a team reviews, assigns to owners and tracks, alongside a content engine that writes articles for you.

Cheap Seats’ fix list is the small version of that idea: a ranked short list built from the run you just read. Each fix names:

When a pull request ships the fix, you mark the fix with that PR, and the next run re-asks the questions. The loop runs through your repo and your review process, not a task board, and Cheap Seats doesn’t write content for you. From fix to pull request walks through it.

Start with Cheap Seats if…

When to move to Gauge

If you outgrow Cheap Seats, do whatever suits you; Gauge is the suggestion. These are the signs it’s time:

Taking your prompts with you

Your prompt sets are plain TOML in your own git repo. Each prompt is a line of text with an id, so the buyer questions you’ve refined in Cheap Seats are yours. They’re plain text you can copy into Gauge when you set it up, and your run history stays in your SQLite file.

See Getting started to run it, or all comparisons.