citeplane

How it works

Quoted by AI.
Trusted by
engineers.

AI decides whether your page gets quoted. The engineer who clicks through decides whether you get the deal. Citeplane writes pages for both: specific enough for ChatGPT and Claude to lift, and rigorous enough that a senior engineer finishes reading and thinks, these people know what they’re talking about. Every number traced to your docs, your benchmarks or your engineers. No marketing BS.

Run the free audit first →   Apply for early access →

Built by the author of GTM Co-Founder, open-source go-to-market skills for dev-tool founders: MIT licensed, 321 stars on GitHub (21 October 2026).

the same claim, two ways ↓
What AI skips, and engineers roll their eyes at

“Blazing-fast sync for modern data teams.”

What AI quotes, and engineers trust

“3x faster on 10M-row Postgres replication, measured on this hardware.”[benchmark ↗]

An illustration from AI quotes specifics. Whether they’re true is on you.

Two readers

Most AEO writes for the model. The engineer reads it next.

What it costs you

Miss either reader, and you lose the deal.

The listicle problem

“The LLM will cite a source from a competitor.”

A commenter on Hacker News[3]

When a developer asks an AI which tool to use, it builds the answer from pages it can quote: comparison posts, “best tools for” lists, pricing breakdowns. Whoever wrote the most quotable page wins the answer, whether or not its claims hold up.

That cuts both ways. A vendor’s roundup can win the citation and still lose the reader, because the engineer who clicks through knows exactly what they’re reading. The page that wins both is specific, sourced, and written with the people who built the product.

Why now. Developers now ask ChatGPT, Claude and their coding agents which tool to use. A thread on which tools Claude Code picks drew 611 points on Hacker News.[4] If your evidence is not on a page the engine can quote, it cannot be part of that answer.

What you have tried

Why the usual fixes don’t fix it.

Visibility dashboardsTell you that you’re missing. You still need the page.
Content toolsWrite fast, for the model. Checking the numbers, and whether an engineer would trust the page, is left to you.
Specialist agenciesDo it well, for $5,000 to $15,000 a month.[5]
CiteplaneFinds the questions you’re losing, writes the page from your evidence and your engineers’ answers, and checks every number before you approve it.

How it works

From the questions you lose to pages that hold up.

01

See the questions you are losing.

You get the questions your buyers ask, asked to Claude with live web search, with the sources each answer cites. ChatGPT support is built; Perplexity and Gemini are planned. You see which you win, which you lose, and the pages that win them instead.

Before: you guess which comparisons matter. After: your buyer questions, ranked, with who Claude cites for each.

Citeplane's prompt map of buyer questions for gtmcofounder.com
The prompt map for gtmcofounder.com, our founder’s open-source project.
02

Turn your evidence into pages.

For each gap, Citeplane first asks your engineer a few questions only they can answer, and can draft those answers from your internal docs and call transcripts, which stay private. Then it writes the page that answers the question better, from your facts and those answers, after reading the pages that win today and, for comparison and pricing pages, the competitor’s own pages.

Before: a blank page, or a writer who doesn’t know your product. After: a draft built from your benchmarks and docs, with its sources.

A draft pricing guide in Citeplane with its quality checks
A draft for gtmcofounder.com, with its checks.
03

Nothing ships unchecked.

Every number must appear in your facts or a cited source. Every link must point at a real source or a real page on your site. A separate fact-check pass checks every claim against its source. Anything that echoes a private source is blocked. Want something changed? Say it in plain words and every check runs again. Citeplane never publishes on its own: a person on your team approves every page.

Before: one wrong number on a comparison page, found by a skeptical developer. After: every number traced, every problem flagged with a fix, and a person signs off.

The list of problems Citeplane flagged on a draft
Six problems flagged on that draft.
04

Publish where your site lives.

Approve a page and send it straight into Framer or Webflow, open a pull request on GitHub (Mintlify, Docusaurus, Starlight and Nextra included), or post it to any CMS through a webhook. The structured data goes with it. Working in Claude Code or Cursor? Connect them to Citeplane through its MCP server.

Before: copy, paste, and the schema gets lost on the way. After: one click from approved to your CMS, then tracking checks whether AI cites it.

  • FramerCMS collection, same slug updates
  • WebflowStaged, or this page live
  • GitHubPull request, docs presets
  • WebhookZapier, Make, n8n, any CMS
  • MCP serverClaude Code, Cursor
Where an approved page can go.

Proof

Anything it can’t trace gets flagged.

Never published silently. Two real flags from the guides Citeplane wrote for gtmcofounder.com, our founder’s open-source project.[6] Both sentences read well. Both were fixed before anyone approved the page. See the case study.

The second case is complex enterprise usage billing at scale. Grafana meters five separate signals.

Implies Grafana needs a pricing study. The source only counts its meters.

Unless another source is linked, the examples and thresholds in steps 1 to 5 come from Shane O’Connor.

Credits the expert with examples the writer added. Narrow it to what was said.

Case study

0of 15

We ran it on our own project first.

On 20 October 2026, Claude answered 15 buyer questions in the GTM Co-Founder’s category and cited it in none.[7] Three days later: site fixes, 14 expert answers from its founder, three guides written and checked, the first one live, and an audit score up from 66 to 83. Whether AI cites it yet is the next number we’ll publish.

Read the case study →

Pricing

Start free. Then one plan.

The free AEO audit

$0
free, no card
  • Your pages scored for how well AI can read and quote them
  • A roadmap with the fixes in order
  • Results in about a minute, no email
Run my free audit

Growth

$999
a month, cancel any time
  • 100 buyer questions tracked weekly
  • 8 finished pages a month
  • A monthly audit and a plan
Apply for early access

Enterprise

Custom
set to your plan
  • More questions and pages
  • Several products or sites
  • Strategy with our founder
See pricing

Who it is for

Accept

Developer-tool, data and AI companies with something real to say: a benchmark, a production setup, a migration path, an architecture decision.

Reject

  • Consumer brands
  • E-commerce
  • Local businesses
  • Content by the article count

Get quoted. Hold up when they click.

[1]Aggarwal et al., “GEO: Generative Engine Optimization”, KDD 2024: arxiv.org/abs/2311.09735. The paper measured visibility, not whether the claims were true.
[2]Stack Overflow, 2025 Developer Survey, AI section, checked 22 October 2026: survey.stackoverflow.co/2025/ai
[3]Hacker News, 2 September 2026: news.ycombinator.com/item?id=49536375
[4]“What Claude Code chooses”, Hacker News, 26 February 2026: news.ycombinator.com/item?id=47169757
[5]Hackmamba pricing, checked 20 October 2026: hackmamba.io/pricing. Draft.dev starts at $9,000 a month with a 3-month minimum: draft.dev.
[6]Citeplane reviews of “How to price a developer tool” and “How to go to market with a developer tool” for gtmcofounder.com, 23 October 2026. Wording of the flags shortened.
[7]Citeplane tracking run for gtmcofounder.com, 20 October 2026: 15 buyer questions asked to Claude with live web search; cited 0 times, mentioned 0 times. Audit scores: 66 on 20 October, 83 on 23 October 2026.