AI Brand Visibility Tracker: ChatGPT, AI Overviews, Perplexity
Pricing
from $20.00 / 1,000 answer analyzeds
AI Brand Visibility Tracker: ChatGPT, AI Overviews, Perplexity
Monitor what ChatGPT Search, Google AI Overviews, and Perplexity say about your brand. Run a prompt set on a schedule to measure share of voice vs competitors, see which domains get cited, and get webhook alerts when a mention or ranking changes. Built for GEO and answer engine optimization.
Pricing
from $20.00 / 1,000 answer analyzeds
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Bridgeworks
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AI Answer Watch: does AI recommend your brand?
Buyers ask ChatGPT, Google, and Perplexity what to buy. This Actor tells you what those AI engines actually say about your brand, scores your share of voice against competitors, extracts which domains they cite, and, run on a schedule, alerts you the moment anything changes: you appeared, you dropped, your rank moved, a competitor showed up, or the engines started (or stopped) citing your site.
Most tools in this category answer "what does AI say about me today?" once. The paid question is different: what changed since last week, and tell me without me looking. That is what this Actor does.
What one run does
- Asks your prompts (buyer-intent questions like "best travel coffee maker") to each engine you select: ChatGPT Search, Google AI Overviews, Perplexity.
- Analyzes every answer deterministically: is your brand mentioned (word-boundary matching with aliases, so "Notion" never matches "notionally"), what rank is your first mention among all brands named, which competitors appear, which domains are cited, and whether YOUR domain is one of them.
- Compares against the previous run's stored state and reports precise changes:
appeared,dropped,rank-up,rank-down,citation-gained,citation-lost,new-competitor. - Optionally POSTs those changes to your webhook. No changes, no call, no noise.
Run it on an Apify Schedule (weekly is typical) and it becomes a standing watchtower: history accumulates, and the first run simply records your baseline.
Try it free in 10 seconds
Press Start with no input at all. The Actor runs its full pipeline on a built-in sample brand with canned answers, so you can see exactly what the analysis, share-of-voice scoring, and output look like. Demo runs query nothing and are never charged.
Output
Dataset: one row per engine x prompt: brandMentioned, brandRank, competitorsMentioned, brandCited, citationDomains, and the answer text.
OUTPUT record: the summary: share of voice (rank-weighted: first mention counts most), presence rate, and the change list.
Pricing
| Event | Price |
|---|---|
| Run start | $0.01 |
| Answer analyzed | $0.02 per engine x prompt |
A weekly watch of 10 prompts across 3 engines costs about $0.61/week. The engines themselves are existing Apify Actors called on your account, so their per-result fees (typically a few cents) appear transparently on your bill next to this Actor's: no markup, no hidden pass-through. Demo runs are free. If your run has a spending cap, the Actor charges what the cap allows, trims the prompt list to exactly that, and says so.
Input in 30 seconds
| Field | Notes |
|---|---|
brandName | The brand to watch. Empty = free demo. |
brandAliases | Other spellings the engines might use. |
brandDomains | Your domains, to detect when engines cite you as a source. |
competitors | Names to score share-of-voice against. |
prompts | The questions buyers ask. Empty = three sensible defaults from your brand name. |
engines | Any of ChatGPT Search, Google AI Overviews, Perplexity. |
webhookUrl | POSTed only when changes are detected. |
FAQ
How is share of voice computed? Each answer's mentioned brands are rank-weighted (first mention 1.0, second 0.5, third 0.33...). Your share is your weight over the total. It rewards being the engines' first recommendation, not just being mentioned somewhere in paragraph four.
Why deterministic matching instead of an LLM judging the answers? Reproducibility. A monitoring tool that scores the same answer differently on Tuesday is not a monitoring tool. Matching is word-boundary and alias-aware; the raw answer text is in every row if you want to run your own judgment on top.
What exactly triggers the webhook? Any change relative to the previous run of the same brand: mention appeared or dropped, first-mention rank moved, your domain entered or left the citations, or a new competitor appeared in an answer. First run records a baseline and never alerts.
Does it work for AI agents? Yes: pay-per-event pricing makes it callable through Apify's MCP server and agentic payments, and the output schema is machine-readable. An agent can watch a brand and act on the change list.
More from Bridgeworks
We build small, dependable data plumbing for automations and AI agents. Every Bridgeworks Actor has a free demo run, plain-English errors, and pay-per-event pricing that AI agents can call directly.
- Google Sheets Import & Export: push any Apify dataset into Google Sheets (or pull a sheet back in) using service-account auth, so nothing ever expires mid-schedule.
- AI Answer Watch: track what ChatGPT Search, Google AI Overviews, and Perplexity say about your brand, with share-of-voice scoring and change alerts.
- Job Board Monitor: watch any company's Greenhouse, Lever, or Ashby board and get events the moment a job is added, changed, or closed.
Built by Bridgeworks: clear errors, honest metering, and nothing that expires.