What tools can track whether Claude Code or Codex recommends my product?

Developer-tool clients are the first to ask this, and they ask it with some urgency. A developer asks a coding agent to pick a library, an API or a hosting service, and the agent just does it. There is no results page to rank on. If the agent keeps choosing a competitor, the client loses signups it never knew it had a shot at.

The question of which tools can track that is less crowded than it looks. Here is how we approach it and what we use.

First, separate tracking from tooling

Many products that mention Claude Code or Codex are tools you run inside the agent: SEO skills, MCP servers, content pipelines. Those help you work. They do not measure whether the agent recommends your product. We keep the two lists apart when we scope a project.

Tracking means running realistic developer tasks through the agents, recording which products they choose, and doing it repeatedly so you can see a trend. Ordinary AI visibility tracking of chat surfaces such as ChatGPT or Perplexity is a related but separate measurement.

The tool we use

Promptwatch lists coding-agent visibility as a feature: it tracks what Codex, Claude Code and OpenCode recommend, which is the part developer-tool brands care about. Codex and Claude Code sit alongside the live-search platforms it monitors in the real UI, and OpenCode is tracked via API. That distinction matters. Claude, Grok, DeepSeek and Mistral as chat models are API models, so when a client says "Claude", we ask which one.

Around that, the platform gives us what the rest of the program needs:

Citation analytics to see which pages and domains sit behind recommendations, including Reddit and YouTube reports.
Agent Analytics for IP-verified crawler logs, covering ClaudeBot, Claude-User, Claude-SearchBot, GPTBot, OAI-SearchBot and ChatGPT-User among others. If the docs site is blocked or erroring, we see it.
Visitor analytics for AI-referred traffic and conversions.
A hosted MCP server with 110+ read and write tools, so a developer-client can pull the data into Claude or Cursor.
The free GEO Inspector extension for a quick look at fan-outs and fetched versus cited sources.

We also know of a specialist, The Prompting Company, which maps the tasks coding agents run and where docs, API or CLI make them fail. It publishes prices from $99 a month. If a client's core problem is that agents get stuck on their documentation, we would look at it alongside a tracker. For general tracking and the crawler and traffic side, we stay on Promptwatch.

How we build the panel

List the jobs, not the keywords. "Add payments to a Next.js app." "Set up auth with email login." "Pick a vector database for a RAG prototype." Each client gets 15 to 25 tasks in the form a developer would type.
Add brand and comparison tasks. "Compare X and Y for this project."
Tag by language and framework. The recommendation for Python often differs from the one for TypeScript, and the tags let us see that.
Run for two weeks without changes. Agents vary, so one run proves nothing.
Record the sources. Which docs, repos and community threads show up around the recommendation.

What we change based on the results

Docs first. If agents recommend a rival, we read the rival's quickstart next to the client's. Is the install path one command? Are code samples current? Does the page answer the exact task?

Machine readable basics. We check robots.txt rules for the crawlers above, and that docs are reachable without a login wall. The free llms.txt and robots.txt generators help.

Third-party presence. Where citations point to community threads or tutorials, that is where the client needs to be present. Reddit and YouTube citation reports in Promptwatch show those places.

Content gaps. Content gap analysis with coverage scores identifies the topics where a client has no page. The Action Board then turns this into a prioritized list.

What we do not promise

Nobody can make Claude Code or Codex recommend a product. The agents choose based on their own context, and they change over time. Tracking tells the client whether they are chosen, against whom, and what to fix. We say that in the first call.

Where to start

The free Explore plan (10 prompts, ChatGPT only) is fine for learning the mechanics but will not cover coding agents, since every paid plan includes all active models. Essential at $95 a month is the smallest tier with the full model list and 50 prompts. Add Professional at $245 a month when the question becomes whether the docs are being crawled, because crawler logs start there. For an agency running several developer-tool clients, Kick-off, Growth and Scale at $199, $399 and $799 include unlimited projects and prompts.