AI Sentiment Tool

AI brand sentiment MCP and REST API. Get structured tone scores and phrases per model.

Run AI Sentiment from your connected AI tool or call it over REST. Supply one query and one brand to receive positive, neutral, and negative scores, short supporting phrases, and an aggregate across successful model results.

  • $1 free on signup
  • Credits never expire
  • No subscription
  • MCP native

Step 1: Create your account

Get $1 in test credit to try your first calls.

Create free account

Step 2: Connect Cite42 MCP

Replace cite42_live_... with your key, then run this once.

Step 3: Ask inClaude Code

You ask your AIHow do AI answers describe Acme CRM when buyers ask for “best startup CRM”?
MCP runsAI Sentiment
Runs across the sources shown.
Your AI saysSentiment is mostly positive: fast to set up and easy for small teams. Caveats cluster around reporting depth and enterprise controls...
HOW AI SENTIMENT WORKS

See how AI describes your brand.

Cite42 measures the positive, neutral, and negative language about a brand. It also shows the phrases and results from each model.

EXAMPLE TOOL PROMPTS

Ask for AI Sentiment data.

Cite42 runs AI Sentiment and returns structured data your AI can summarize.

  • How does AI describe Acme CRM for startup teams?

    You ask your AI“How does AI describe Acme CRM for startup teams?”
    MCP runsAI Sentiment
    Your AI saysThe aggregate is mostly positive, while each perModel entry shows its own positive, neutral, and negative scores plus the short phrases driving that tone. It includes the key result, source context, and next step...
  • Which model is most negative about this brand?

    You ask your AI“Which model is most negative about this brand?”
    MCP runsAI Sentiment
    Your AI saysClaude has the highest negative score in this result, and its phrases identify the concerns associated with that score. It includes the key result, source context, and next step...
WAYS TO USE CITE42

Use Cite42 wherever research happens.

Give your AI agent live research tools through MCP, build directly with REST, or manage API access and saved tracker work in the dashboard.

MCP

You ask your AI

Where does Acme CRM rank for “best startup CRM”?

MCP

Cite42 returns

Rankings, citations, and a tracker draft when you need one.

Connect Cite42 to Claude Code, Codex, Cursor, Claude, or ChatGPT. Ask in plain English to run every tool and workflow, create trackers, and retrieve saved reports.

Connect MCP

REST API

curl https://www.cite42.dev/api/v1/rankings \
  -H "Authorization: Bearer cite42_live_…" \
  -H "Content-Type: application/json" \
  -d '{"query":"best startup CRM",
      "terms":["Acme CRM"]}
# structured JSON response

Call the same tools and workflows from your product, scripts, or automations. Send a request and receive structured JSON for your own workflow.

Read API docs

Dashboard

Account overview

Dashboard
cite42_live_••••••••Active

Trackers

Reports

Request logs

Usage

Billing

Credits

Create API keys, review tracker reports, inspect usage, and manage credits from one place in the browser.

Open dashboard
WHAT WE QUERY

Sources Cite42 checks.

Cite42 queries AI answers, search demand, and conversation signals, then returns normalized results your app or agent can use.

  • ChatGPT

    OpenAI · Search when needed

  • Claude

    Anthropic · Search when needed

  • Perplexity

    Perplexity Sonar · Web-grounded

  • Gemini

    Google · Google Search grounding

  • Google AI Overviews

    Google Search · Live SERP

  • Google data

    Google data

    Search demand signal

  • Reddit

    Conversation signal

  • YouTube

    Video demand signal

AI answers are measured through each provider’s official API with native web search enabled, plus a live read of Google’s search results for AI Overviews — not by scraping consumer chat interfaces. How we measure.

PRICING

Pay per call for this tool.

Top up once ($25 minimum). Credits never expire, and this tool only charges when it runs.

AI Sentiment
$0.03 to $0.08/model
Get structured tone scores and phrases per model.
Sources
QUESTIONS

Questions about AI Sentiment.

Yes. AI Sentiment is available through MCP and REST. A tracker is optional and adds recurring runs plus stored history.
One query, one brand, and an optional selection of AI models. Omit models for the three default surfaces, or set fullSweep to use all five.
It contains query, brand, perModel positive, neutral, and negative scores with phrases, and an aggregate score with deduplicated phrases.
No. The public sentiment response contains structured scores and phrases, not the underlying prose answers.
No. Use AI Citations for cited-source data or AI Search when you need answers and citations together.
READY WHEN YOU ARE

Give your AI structured brand sentiment.

Get per-model and aggregate tone scores through MCP or REST whenever you need them.