I'm a developer building internal tooling for our marketing team. I want to pull AI visibility data into our own dashboards and automate reports. Which AI visibility tool has the best API?
One of the questions behind AI visibility tools ChatGPT recommends, asked in Google's AI Mode on Mon, Wed, Fri (logged out, from the US, a new chat each time). Kind: long.
What Google AI Mode recommended, last 28 days
| Ahrefs Brand Radar | in 1 of 1 answer |
| Anthropic | in 1 of 1 answer |
| OpenAI | in 1 of 1 answer |
| Profound | in 1 of 1 answer |
| Semrush | in 1 of 1 answer |
Every answer, newest first
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Nov 12, 2026 Semrush, Profound, Ahrefs Brand Radar, OpenAI, Anthropic
When building internal dashboards for AI search tracking (Generative Engine Optimization / GEO), you’ll find that the tooling ecosystem is split into two camps: heavyweight enterprise SEO suites (with sprawling APIs) and native AI-first startups (where APIs are often custom-negotiated or early-stage).
Evaluating the top contenders for internal automation and custom dashboards:
1. Semrush (AI Visibility Toolkit)
API Availability: Uses the broader Semrush API (Unit/Business subscription tiers typically required for programmatic access).
The Good: You get access to a massive prompt database (317M+ prompts) tracking ChatGPT, Claude, Google AI/Gemini, and Perplexity. Because it ties into Semrush's existing data infrastructure, the API documentation is mature, well-versioned, and heavily supported for pull-based ETL or cron-job reporting. zapier.com
The Catch: Data access is gated heavily by API units and subscription levels. Direct, granular, real-time streaming of raw LLM prompt responses isn't always as clean as a dedicated webhook.
2. Profound (
tryprofound.com)API Availability: Enterprise / Custom-built developer integration (frequently used by high-growth tech and finance stacks).
The Good: Built specifically as an Answer Engine Optimization (AEO) platform rather than a bolted-on SEO feature. It tracks brand share-of-voice, citation URLs, sentiment, and prompt performance natively across LLMs. If you talk to their team, they lean heavily into custom data pipelines and programmatic access for enterprise customers. reddit.com
The Catch: Not a self-serve plug-and-play REST API with public documentation; you generally have to onboard via sales and request programmatic/webhook access.
3. Ahrefs (Brand Radar)
API Availability: Integrates with Ahrefs API v3.
The Good: Rock-solid reliability, clean JSON responses, and great rate-limiting handling if you are already paying for an Ahrefs enterprise/advanced plan.
The Catch: Brand Radar is relatively newer to their suite compared to backlink/keyword APIs, meaning deep granular LLM citation payloads can sometimes require stitching together multiple endpoint calls.
4. Lightweight / Native AI Trackers (e.g., OtterlyAI, Peec AI, Slate)
API Availability: Limited, mostly webhook-less, or restricted to CSV/email exports rather than a robust developer API.
The Good: Inexpensive ($30–$100/mo) and great for out-of-the-box UI dashboards.
The Catch: Terrible for custom internal engineering. If your goal is feeding Snowflake, Datadog, or a custom React/Retool marketing dashboard, these will force you into brittle web-scraping or manual CSV/email parsing. reddit.com zapier.com
Recommended Architecture Approach
If you need stability and documented endpoints today, leaning on Semrush’s API or Ahrefs API gives you predictable programmatic hooks without building custom LLM-prompt wrappers from scratch.
If you need deep, true answer-engine attribution (exact source URLs cited inside ChatGPT or Perplexity), platforms like Profound or custom-rolling a lightweight worker that queries LLM APIs (OpenAI, Anthropic, Perplexity APIs) directly against a seed list of brand prompts is often more reliable than waiting on immature marketing-tech APIs.
To help narrow down the right path, tell me:
- What is your approximate monthly budget for the data source?
- Do you need raw LLM prompt transcripts/citations, or just aggregate share-of-voice and sentiment scores?
- What stack are you using to store and display the dashboard (e.g., Retool, BigQuery + Looker, Python/FastAPI)?
Sourceszapier.com
reddit.com
Who made this: Askadia makes an AI visibility tracker. We publish Google AI Mode's answers as they came; no product pays to be listed or can opt out.
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