AEO Lite — Wizard dataset

The wizard variant of AEO Citation Monitor. Same engine, same record shape, same pricing — but a 3-field form instead of a JSON input. Built for marketers, founders, and agency strategists who want AEO data without writing any code.

What does AEO Lite do?

You fill in:

1. Your brand name (and optional website domain)
2. The industry that best matches your business
3. Optional: competitor names to track alongside your brand

Click Start. The Actor:

• Auto-selects a vertical prompt template (B2B SaaS, e-commerce, local services, agency, media publisher, or fintech) — ~25 prompts pre-grouped by intent
• Queries 6 AI search engines (ChatGPT, Claude, Gemini, Perplexity, xAI Grok, Google AI Overviews) per prompt
• Parses every response for brand mentions, citations, competitor positions, list rank
• Caps the demo run at 16 records (~$0.26 first run) so you see real output without committing to a full sweep

For full-scale production runs (25+ prompts × all 6 engines), use the main AEO Citation Monitor — it's the same engine but exposes the full input shape for advanced configuration.

Why use the wizard variant?

Most AEO tools target marketers but require either:

• A SaaS subscription ($99–$5K+/mo) with a polished dashboard, OR
• A developer to write JSON / integrate APIs

AEO Lite is the third path: zero engineering effort, pay-per-result, owned-data output. Buyers who would otherwise pay $399/mo at Profound can run this for ~$1–10/mo and own their dataset.

Example use cases

• Founders auditing how AI engines describe their startup — once a month, $0.50–2 per run
• In-house marketers without engineering capacity who want weekly AEO baselines
• Agency strategists running 10 client-brand audits to determine who needs the bigger investment
• PR/comms teams spot-checking how AI engines discuss their company in response to topical queries
• Anyone who wants to know "is my brand even mentioned in ChatGPT" without committing to a SaaS retainer

Input

{
  "brandName": "Clash Coach AI",
  "brandWebsite": "clashcoachai.com",
  "competitorNames": ["Royale Buddy", "MetaDecks", "RoyaleAPI"],
  "industry": "ecommerce-d2c",
  "category": "Clash Royale coaching app",
  "country": "US",
  "engines": ["perplexity", "anthropic", "xai-grok", "google-aio"],
  "acknowledgePublicBrandsOnly": true
}

Output

Same record shape as the main AEO Citation Monitor. One record per (prompt × provider). Every record carries brand mentions, competitor mentions, cited URLs, transport, cost, latency, locale, and full response text.

Pricing

Pay-per-event with provider-tiered rates:

A demo run with the default fast engines (Perplexity, Anthropic, Grok, AI Overviews) costs ~$0.26 for 16 records. Full 6-engine sweeps with grounded ChatGPT cost more — flip on via the engines field when you need realistic ChatGPT-grade signal.

Limits and notes

• industry is required — pick one of the 6 vertical templates. The Actor auto-generates ~25 prompts grouped by intent.
• Demo runs cap at 16 records so first runs complete in under 90 seconds. Buyers running production-scale should use the main AEO Citation Monitor for the full configuration surface.
• Same Apify dataset format as the main Actor — your data is portable between the two, no re-parsing needed.
• Each run = one brand. Schedule one run per brand for portfolio monitoring.

FAQ

How is this different from the main AEO Citation Monitor? Same engine, simpler form. The lite Actor takes 4 fields and converts to the full input internally; it caps the run at 16 records to keep first-time costs predictable. Once you're comfortable with the data shape and want to run 50+ prompts, switch to the main Actor.

Can I bring my own prompts to the lite Actor? No — the lite Actor is template-only. If you need custom prompts, use the main Actor which exposes the full input shape including custom prompts, queryGroups, and discoverPromptsFromUrl.

Why are some engines off by default? Demo runs use the 4 fast engines (Perplexity, Anthropic, Grok, AI Overviews). OpenAI grounded calls and Gemini grounded calls take 30-180s each, which would blow past the 5-minute Apify maintenance ceiling for canonical demos. Add them to the engines array for real production runs.

Where's the schema? @apify-portfolio/aeo-schema on npm — semver-stable Zod definitions of the record shape.

Support

Issues, feature requests, or buyer questions: open a support ticket in the Apify Console.