Free ChatGPT Rank Tracker | Track AI Citations
Summary
Serpent API sells a ChatGPT rank tracking endpoint. It sends a prompt to ChatGPT, records every source the answer cited, reports where a given domain appears in that citation list, and returns a visibility score as structured JSON. The publisher's video runs the commercial prompt "best serp api" through the Serpent API Playground. It shows the live ChatGPT answer, the cited sources, including SerpApi, Bright Data and Reddit, and the raw JSON response with URLs, ranks and text.
The publisher sells the endpoint as a way for developers to monitor brand presence in ChatGPT answers without building and maintaining their own scraper pipelines. The company's blog adds a Python tutorial for a multi-engine citation tracker and guidance on getting cited in ChatGPT Atlas.
Demonstration by Anupam Pathak, embedded from YouTube. AIOTruth did not reproduce the test.
Why it matters
For a brand trying to be recommended by AI, the practical question is whether ChatGPT cites it for the prompts buyers actually use and where it sits among the sources it cites. A tool that returns citations with positions in structured form makes that question repeatable. A team can run the same commercial prompt on a schedule, watch its domain move up or down the cited list, and see which competitors and communities, such as Reddit, the model leans on. That turns AI visibility from anecdotal screenshots into data a team can track over time.
Source
- apiserpent.com/chatgpt-ai-rank the item itself, published by Anupam Pathak, created by Anupam Pathak
- apiserpent.com/blog/chatgpt-atlas-seo-guide Reproducible first-party demonstration, first party
- apiserpent.com/blog/ai-citation-tracker-python Reproducible first-party demonstration, first party
- apiserpent.com/docs Named expert analysis, or a first-party claim about itself, first party
- apiserpent.com/blog/freshness-wins-chatgpt-citation-study Named expert analysis, or a first-party claim about itself, first party
- apiserpent.com/ Named expert analysis, or a first-party claim about itself, first party
- youtube.com/watch?v=cxzPr7F_-wAwhere AIOTruth found it
What was checked
- canonical URL taken from the page itself
- read the item page (200)
- https://apiserpent.com/docs: supports the item, tier 8 (Named expert analysis, or a first-party claim about itself)
- https://apiserpent.com/blog/chatgpt-atlas-seo-guide: supports the item, tier 2 (Reproducible first-party demonstration)
- https://apiserpent.com/blog/freshness-wins-chatgpt-citation-study: supports the item, tier 8 (Named expert analysis, or a first-party claim about itself)
- https://apiserpent.com/blog/ai-citation-tracker-python: supports the item, tier 2 (Reproducible first-party demonstration)
- https://apiserpent.com/chatgpt-ai-rank: supports the item, tier 8 (Named expert analysis, or a first-party claim about itself)
- https://apiserpent.com/: supports the item, tier 8 (Named expert analysis, or a first-party claim about itself)
Limitations
- Everything checked traces back to a single domain, so this is one party's account.
- The demonstration was not independently reproduced by AIOTruth.
AIOTruth judgment
The item carries a Supported evidence status because the publisher's own materials show the product working: a recorded demonstration with visible output, documentation, and tutorials describing the same capability. The relevance score of 9 reflects how directly the item addresses citation and position tracking inside ChatGPT. Usefulness and originality both sit at 7, because the approach is practical but other trackers offer similar monitoring. The evidence score of 8 is limited because every source traces back to a single domain, and the demonstration was not independently reproduced by AIOTruth.
How this score was calculated
| Dimension | Weight | Score | What produced it |
|---|---|---|---|
| AIO relevance | 30% | 9 | ai citation, generative engine optimization, geo; 3 scope question(s) matched |
| Usefulness | 30% | 7 | 1 artifact(s), 6 actionable marker(s), 0 measured figure(s) |
| Evidence | 25% | 8 | Reproducible first-party demonstration; 6 verified source(s) across 1 domain(s) |
| Originality | 15% | 7 | no original testing found; closest archive match 0 |
aioRelevance x 0.30 + usefulness x 0.30 + evidence x 0.25 + originality x 0.15. The rubric is published in full on the Editorial Method page. Scoring is deterministic: the same item scores the same on every run.
Watch the demonstration Open the source
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