AI Brand Visibility Report

Find out whether ChatGPT, Claude, Gemini and Perplexity recommend your brand — or your competitors — when people ask them what to buy.

Search is moving into AI assistants. When someone asks "what's the best CRM for a small business?", the answer is a short list of brands, and either you're on it or you're not. This tool measures that, across engines, with real buyer questions, and tells you where you're missing.

What you get

For one brand and its competitors, the Actor runs 5–50 buyer-intent questions ("best X for Y", "which X should I use", "top 5 X") against each AI engine and returns:

Field	What it tells you
score	0–100 composite AI visibility score
engines[]	Per engine: visibility %, first-mention rate, average rank, sentiment
shareOfVoice[]	Your brand vs each competitor, % of all brand mentions
topCitedDomains[]	Sites the engines lean on for this category (your fastest PR/SEO lever)
missedPrompts[]	Questions where a competitor was named and you weren't
recommendations[]	Plain-language next steps
results[]	Every prompt, answer, mention and citation (in REPORT.json)

Example summary:

{
  "brand": "Zoho",
  "score": 41,
  "engines": [
    { "engine": "openai", "visibility": 55, "firstMentionRate": 10, "avgRank": 1.8, "avgSentiment": 0.3 },
    { "engine": "perplexity", "visibility": 35, "firstMentionRate": 5, "avgRank": 2.1, "avgSentiment": 0.1 }
  ],
  "shareOfVoice": [
    { "brand": "HubSpot", "mentions": 38, "share": 46 },
    { "brand": "Salesforce", "mentions": 27, "share": 33 },
    { "brand": "Zoho", "mentions": 17, "share": 21 }
  ],
  "topCitedDomains": [{ "domain": "g2.com", "count": 14 }, { "domain": "forbes.com", "count": 9 }],
  "recommendations": ["HubSpot leads share of voice at 46%. Target the 11 prompts where it appears and you don't.", "..."]
}

Who uses this

• Agencies adding "AI visibility" to SEO retainers (run monthly per client).
• Brand and growth teams tracking generative engine optimization (GEO).
• AI agents vetting a company's reputation before a recommendation.
• SEO tools that want a share-of-voice feed without building the pipeline.

Pricing

Pay per event. No subscription.

• $1.00 per completed report
• $0.03 per prompt check (one engine × one prompt)

A standard run — 20 prompts on 4 engines — costs $1.00 + 80 × $0.03 = $3.40. A quick check of 5 prompts on one engine is $1.15.

Answers are cached for 24 hours, so re-running the same brand and category the same day costs you nothing extra upstream.

Bring your own keys: add your OpenAI/Anthropic/Google/Perplexity API keys in the input to use your own quota. The per-event prices stay the same; your upstream costs are then on your account.

Input

Field	Required	Notes
brand	yes	e.g. Notion
category	yes	what it is, in buyer language: note-taking app
domain		notion.so — tightens matching
competitors		["Obsidian", "Evernote"]
market		India, United States — added to each prompt
engines		subset of openai, anthropic, google, perplexity
promptCount		5–50, default 20
prompts		your own questions instead of generated ones

Use from code or an AI agent

Apify API (Node):

import { ApifyClient } from "apify-client";
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor("exepal/ai-brand-visibility").call({
  brand: "Notion", category: "note-taking app", competitors: ["Obsidian", "Evernote"], promptCount: 20
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0].score, items[0].shareOfVoice);

MCP (Claude, ChatGPT, Cursor): add exepal/ai-brand-visibility to the Apify MCP server at https://mcp.apify.com and ask: "Run an AI visibility report for Notion, a note-taking app, against Obsidian and Evernote." The agent fills the input and pays per result.

Direct HTTP with USDC (x402): the same tool is available at https://api.exepal.com/v1/ai-visibility for agents that pay per request in stablecoins. See exepal.com.

How it works

1. Generates buyer-intent prompts for your category (or uses yours). Your brand is never in the prompt — this measures unprompted recall.
2. Queries each engine with a neutral system prompt asking for specific brand names.
3. Parses every answer for your brand and competitors: order of mention, frequency, sentence-level sentiment, cited URLs.
4. Aggregates into per-engine scores, share of voice, cited-domain ranking and missed prompts.

Gemini runs with Google Search grounding and Perplexity returns citations, so topCitedDomains shows which websites are shaping AI answers in your category.

Limits and notes

• Results reflect the model versions and dates at run time; AI answers drift, so track monthly.
• Sentiment is lexicon-based and indicative, not a substitute for reading the snippets.
• Brand names that are common words (e.g. "Apple") may over-match; add domain and specific competitors to tighten.

About Exepal

Exepal builds paid, agent-ready tools: upstream APIs in, computed answers out. Questions or custom runs: contact@laxmankafle.com