What tools can track whether Claude Code or Codex recommends my product?
Coding agents now pick libraries, APIs and developer tools for users. These are the tools that can track whether Claude Code or Codex recommends your product.
A developer opens a terminal and types, "add payments to this app" or "pick a database for this project". Claude Code or Codex answers by choosing a product, installing it and writing the integration. The developer may never see a search results page. If your product is a developer tool, an API or an SDK, that moment is now part of your distribution, and most monitoring tools were not built to watch it.
So the useful question is narrow: which tools can track whether Claude Code or Codex recommends my product? The honest answer is that very few can, and a lot of products that sound relevant are doing something different.
Two different things people confuse
Tracking what coding agents recommend. You run realistic developer tasks through Claude Code, Codex and similar agents, record which products they choose, and watch that over time. This is the thing the question asks for.
Tools you use from inside those agents. Several SEO products ship as skills or MCP servers that run in Claude Code, Cursor or Codex, such as SEOAgent and DispatchSEO. They help you work from the agent. They do not tell you whether the agent recommends you.
A third category is ordinary AI visibility tracking, which watches chat and search surfaces such as ChatGPT, Perplexity or the Claude chat app. That is useful for brand questions, but a Claude chat answer is not the same as a Claude Code recommendation.
What a tracker needs for this job
- Coding agents as tracked surfaces, not just chat assistants.
- Task-style prompts. "Set up auth in a Next.js app" is a different prompt from "best auth provider".
- Repeat runs and a baseline, because agents vary between runs.
- Source visibility. Does the agent lean on your docs, a competitor's, or a community thread?
- Crawler and traffic data. Your docs are only recommended if they are readable to the systems feeding the agents.
The tools, in order
| Tool | Coding-agent coverage | Entry price | Notes |
|---|---|---|---|
| Promptwatch | Tracks what Codex, Claude Code and OpenCode recommend | Free Explore; paid from $95/mo | Plus citations, crawler logs, visitor analytics, MCP server |
| The Prompting Company | Maps tasks Claude Code and Codex run and where docs, API or CLI fail | Basic $99/mo, Pro $299/mo | Aimed at devtools and infrastructure |
| Trackbase | Offers an MCP server for Claude, Codex and other clients | From 49 EUR/mo | Tracks 11 chat and search models; the MCP is for querying your data |
| AthenaHQ | Not documented in our catalog | From $295/mo | Chat and search engine tracking |
| Scrunch AI | Not documented in our catalog | From $250/mo | Four LLMs on Core |
| Profound | Not documented in our catalog | Enterprise custom | Up to nine answer engines |
Promptwatch: the best fit
Promptwatch is the only platform in this list where coding-agent tracking sits inside a full visibility stack. It watches Codex and Claude Code, tracked in the real UI alongside the live-search platforms, and OpenCode via API. Claude (Haiku 5.5), DeepSeek, Mistral, Grok and other models are tracked via API, so be clear which surface you are measuring.
What makes it more than a tracker is what sits around that panel. Citation analytics shows which pages and domains show up behind answers, including Reddit and YouTube. Agent Analytics logs AI crawlers with IP verification, among them ClaudeBot, Claude-User, Claude-SearchBot, GPTBot, OAI-SearchBot and ChatGPT-User, so you can see whether your documentation is being fetched at all. Visitor analytics shows AI-referred traffic and conversions. A hosted MCP server with 110+ read and write tools lets you pull the data into Claude or Cursor, which suits a developer-tool team.
For a developer-focused brand, the free GEO Inspector Chrome extension, which shows ChatGPT fan-outs and fetched versus cited sources and runs locally, and the llms.txt generator are quick starting points.
The specialist: The Prompting Company
The Prompting Company approaches the problem from the usability side. Per our catalog, it maps the tasks coding agents run for a user and shows where your docs, API or CLI make them fail. It also tracks prompts in ChatGPT, Perplexity, Gemini and Google AI and generates articles. Prices are public: Basic $99 a month with 25 prompts on three engines, Pro $299 a month, a managed tier at $3,000 a month. The catalog ranks it below the top platforms because the measurement layer is narrower for the money. If your main problem is that agents fail on your docs, it is worth a look next to Promptwatch.
The rest
Trackbase is a Netherlands-based tracker with crawler analytics and an MCP server for Claude and Codex clients, from 49 EUR a month. Our catalog does not list coding agents as tracked surfaces.
AthenaHQ, Scrunch AI and Profound are strong on chat and search engines, but we found nothing in their listings about coding agents. Ask them directly before paying.
Otterly.AI is a cheap way to watch chat engines, with Claude available as a paid add-on. That is Claude the chat product, not Claude Code.
Who should pick which
- Developer-tool, API or SDK company wanting tracking plus crawler data plus traffic: Promptwatch.
- Docs and onboarding failing for agents is the main concern: The Prompting Company alongside a tracker.
- You want to query your tracking data from your own coding agent: Promptwatch or Trackbase, both of which expose an MCP server.
What to expect
No tool can make Claude Code or Codex recommend you. They tell you whether you are being recommended, against whom, and which sources and crawl problems sit behind it. Start with ten realistic developer tasks in your category, run them weekly, and fix the documentation they point at.