AI answer tracking tool with an API so my developers can pull the data

If you mean tracking how often AI answers mention or cite your brand, take a look at:

• Mentionable — likely the closest fit for developers who want to pull tracking data: its read-only REST API provides daily metrics, individual AI answers, and competitor share-of-voice data in JSON or CSV. (mentionable.ai)
• Foglift — offers a REST API for running prompt checks and retrieving answer text, brand mentions, citations, sentiment, and competitors across several AI engines. Its site lists API access on paid plans starting at $49/month. (foglift.io)
• Trackee — an API-oriented option covering AI visibility, answers, citations, and share of voice, with SDKs advertised on its site. (trackee.dev)

My starting pick: Mentionable if you want to ingest ongoing monitoring data into your own dashboards or product. Pick Foglift if you also want to trigger checks on demand and retrieve the underlying answer evidence.

One important question for your developers to check: does the service track answers from the AI products’ user-facing apps, or generate answers through model APIs? Those can produce different answers, so it affects what your tracking represents.

Here are the tools that look most relevant for developer access, based on current vendor and review pages. Pricing and API tiers change often, so check the docs before committing.

• SE Ranking (AI Search API): Pulls brand presence, share of voice, the prompts that surface a domain, and competitor comparisons across five engines into your own dashboards or workflows, according to SE Ranking's AI Search API pulls AI visibility data (brand presence, share of voice, the prompts that surface a domain, and competitor comparisons) across the same five engines into your own dashboards or workflows. The site also lists a full REST API and a starting price of pay-as-you-go starting at $50/mo. This is the strongest fit if you also want SEO data in the same pipeline.
• Otterly.AI: Has a public API. The OtterlyAI Public API lets you programmatically access brand reports, prompts, citations, and workspace data from the OtterlyAI platform. It's a lower-cost option, listed at $29/month in one comparison.
• Promptwatch: A vendor claims MCP and API access included on every plan, including the entry tier. Treat that as a vendor claim until you confirm it.
• Profound: Strong on coverage (it tracks ChatGPT, Perplexity, Claude, Microsoft Copilot, Google AI Overviews, Google AI Mode, Google Gemini, Grok, Amazon Rufus, Meta AI, and DeepSeek), but its API is an enterprise offering with custom pricing. Note that Profound says it captures directly from the browser—what you see in Profound is what your customers see when they query AI. That's a methodological difference from tools that query APIs, so ask any vendor how they collect answers.
• DataForSEO: Not a tracker itself. It offers raw SERP and SEO infrastructure for teams that would rather build the product layer themselves, with AI Overview data. Choose it if you want to build your own tracker.

Questions to ask vendors before you pick one:

1. Does the API return raw answer text and citations, or only aggregated scores? Your developers will likely need the raw data.
2. Which engines are covered through the API specifically, since coverage sometimes differs from the dashboard?
3. What are the rate limits, prompt caps, and historical data retention?
4. How do they collect answers (API queries versus browser capture), and does that affect comparability with what real users see?
5. Are webhooks or scheduled exports available, or is it pull-only?

If you tell me your rough prompt volume, engines you need, and budget, I can narrow this to one or two options.

To select the right tool for tracking AI answers with an API, you must first clarify whether you need to track external AI visibility (how your brand appears in ChatGPT, Perplexity, and AI Overviews) or internal product performance (your own chatbot’s logs, traces, and metrics).

1. If you need to track your brand in AI Answer Engines

If your goal is to monitor how often AI models mention your brand, cite your website, or rank your products, you need an AI Visibility/Monitoring tool. These platforms provide APIs to pull brand mention data, citation share, and sentiment metrics into your own BI dashboards.

• Profound: Built for enterprise-scale AI visibility. It tracks mentions and citations across numerous LLMs and provides a robust API for integrating data into internal pipelines.
• Otterly.AI: A strong mid-market choice with broad engine coverage (ChatGPT, Perplexity, Gemini, etc.) and API access for exporting tracking data.
• Peec AI: Focuses on browser-level simulation (capturing what users actually see). It is GDPR-compliant and offers API capabilities for teams needing to feed AI tracking data into their own systems.
• Ansvisor: An open-source platform built specifically for developers, offering API/MCP tools to access prompts, citations, and visibility scores.

2. If you need to track your own AI Chatbot/Agent

If you are building an AI application and need your developers to pull logs, traces, and evaluation scores (e.g., to debug "hallucinations" or track latency), you need an LLM Observability platform.

• Langfuse: A leading open-source platform that excels in tracing and evaluation. It provides a comprehensive API that allows developers to export trace data, feedback, and evaluation scores for custom analysis.
• LangSmith (by LangChain): The industry standard for production debugging, testing, and monitoring. Its API is highly integrated, allowing teams to programmatically pull metrics, manage datasets, and inspect traces.
• Helicone: An AI gateway and observability tool that sits between your application and your LLM provider. It is designed for developers to get API-level visibility into cost, latency, and request logs.
• Braintrust: Excellent for teams that prioritize "evals" (evaluation). It provides a full lifecycle API that connects production data back to testing and human-in-the-loop review.

Summary Comparison Table

How to decide

• If you are a developer building an app: Choose Langfuse or Helicone. They are developer-first, support OpenTelemetry, and are specifically designed to expose their data via API so your team can build custom monitors or dashboards.
• If you are a marketer/business owner: Choose Profound or Otterly.AI. These provide "ready-to-use" insights about how your brand is perceived by AI, with APIs available if your developers need to pull those specific insights into internal systems.
• If you need raw, custom-scraped data: Use Apify, which allows you to run "Actors" (web crawlers) that perform queries on ChatGPT or Perplexity and push the results directly to your database via their API.

If you want developers to pull AI-answer visibility data through an API, these are the best fits from the results:

• DataForSEO — Best for building your own data pipeline. Its APIs cover brand mentions and citations, plus querying ChatGPT, Gemini, Claude, and Perplexity with a common request format. The mentions data is based on an indexed prompt database, so distinguish that from live model responses. ⁵⁸
• Keyword.com — Best for importing aggregated visibility metrics into dashboards or reporting. Its API includes visibility, sentiment, competitor benchmarks, and trends across engines, but it does not provide raw answer text. ³¹⁵
• MentionsAPI — Best if you want scheduled prompt checks and results delivered to your system. It offers monitoring endpoints and webhooks, with mentions, sentiment, position, and cited sources across ChatGPT, Claude, Gemini, and Perplexity. ⁶

My quick recommendation: choose DataForSEO if your developers need flexible API access and both visibility data and model responses; choose Keyword.com for ready-made reporting metrics; choose MentionsAPI for scheduled monitoring with webhook delivery.

Before choosing, confirm pricing, rate limits, data retention, and whether you need live answers or historical/aggregated tracking—those are different products.