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AI Mentions Aggregated & Competitor Metrics API: AI Large Language Models

Analyze aggregated LLM brand mentions, sentiment, and share of voice vs. competitors. Try free — pay per generation. Analyze aggregated LLM mentions, brand sentiment, and cross-competitor share of voice across ChatGPT and Google AI.

Interactive model controls

Analyze aggregated LLM mentions, brand sentiment, and cross-competitor share of voice across ChatGPT and Google AI.

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Overview

About this model

AI Mentions Metrics measures how often a brand is mentioned in AI-generated answers from ChatGPT and Google AI Overviews, then aggregates those mentions into sentiment polarity and share-of-voice scores relative to a set of named competitors. As more search traffic shifts from traditional results to AI answer surfaces, this gives marketing teams a way to track generative-engine visibility the same way they've historically tracked organic rankings. An optional date range lets you compare a brand's AI visibility before and after a launch, press cycle, or content push.

1AI brand sentiment tracking: Monitor whether LLM answers describe a brand positively, neutrally, or negatively over time.
2Share of voice benchmarking: Compare mention frequency against named competitors across ChatGPT and Google AI.
3GEO campaign optimization: Measure whether generative-engine-optimization efforts are increasing AI answer visibility.
4Launch impact measurement: Compare AI mention volume before and after a product launch or press cycle.
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Pricing & Value

Cost analysis

muapiappFrom $0.02 per query

Aggregated LLM mention, sentiment, and cross-competitor share-of-voice metrics.

Fal.aiNot available

Not offered as a standalone API.

ReplicateNot available

Not offered as a standalone API.

** Competitor pricing is estimated based on similar model architectures and usage tiers.

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Technical Details

Configuration schema

Target Brand / Domainstring

Target brand name or domain to analyze.

Default Valueopenai.com
Competitorsarray

Optional competitor brands or domains to compare share of voice against.

Default Valueanthropic.com,google.com
AI Platformsarray

Platforms to analyze ('chat_gpt', 'google').

Default Valuechat_gpt,google
Date Fromstring

Start date for metrics (YYYY-MM-DD).

Default Value-
Date Tostring

End date for metrics (YYYY-MM-DD).

Default Value-
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Implementation Guide

Developer documentation

How to Use AI Mentions Metrics

  1. Set the target: Pass target as the brand name or domain to analyze.
  2. Add competitors: Pass an optional competitors array of brand names or domains to benchmark share of voice against.
  3. Choose platforms: Set platforms to chat_gpt, google, or both (default both).
  4. Set an optional date range: Use date_from / date_to to scope the metrics window.
  5. Read the response: Returns mention counts, sentiment polarity, and share-of-voice percentages per platform.
curl -X POST https://api.muapi.ai/api/v1/seo-ai-mentions-metrics \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "target": "openai.com",
    "competitors": ["anthropic.com", "google.com"],
    "platforms": ["chat_gpt", "google"]
  }'
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Common Questions

Frequently asked

Which platforms are included?

ChatGPT and Google AI Overviews, selectable via the `platforms` array.

What does share of voice mean here?

The percentage of tracked AI mentions belonging to the target brand versus the named competitors, per platform.

Is sentiment scored per platform or aggregated?

Sentiment polarity is aggregated across the analyzed platforms for the target brand and each competitor.

Are competitors required?

No, `competitors` is optional — omit it to see the target brand's raw mention and sentiment metrics without comparison.

Can I scope metrics to a specific time window?

Yes, use `date_from` and `date_to` to limit the analysis to a specific launch or campaign period.