Monitor whether AI answers recommend your product.
A small Apify workflow for B2B SaaS marketing teams that need to monitor AI answer mentions, competitor presence, citation gaps, and publishing actions.
B2B SaaS marketers, content leads, and demand generation teams
Buyers ask AI tools for shortlist recommendations, but the marketing team cannot see which prompts omit the brand.
a repeatable prompt set, competitor presence checks, citation gaps, and a weekly publishing queue.
Choose buyer prompts
Start with a few recommendation, comparison, and alternatives queries that resemble buying intent.
Compare against competitors
Capture which competitors appear, which citations are used, and where the brand is missing.
Publish against gaps
Turn low-visibility answers into comparison pages, alternatives pages, and citation improvements.
Start narrow, then connect the workflow.
Open a small sample first. Once the output fits the job, connect the matching scraper dataset or schedule.
| Actor | Buyer | Link |
|---|---|---|
| AI Brand Visibility Monitor - GEO & AI Search Tracker | SEO agencies, GEO/AEO consultants, brand marketers, B2B SaaS marketing teams | Store |
| AI Visibility Report Generator | Agencies, GEO/AEO consultants, client-facing marketing teams | Store |
Built for specific buyer queries.
This page exists to answer focused workflow searches before routing the buyer to a sample-led Store path.
| Query shape |
|---|
| AI search visibility monitoring |
| brand visibility in AI answers |
| AI answer competitor mentions |
Preview the output before opening the Store page.
These public-safe GIFs show the first-run sample becoming the buyer-facing workflow artifact.
Run one buyer prompt and inspect the gap.
The Store sample uses fictional Northstar CRM checks, so a buyer can see competitor mentions, missing brand visibility, and a recommended content action without a production client account.
Paste the sample, then open REPORT.md.
The Store sample uses fictional Northstar CRM checks, so a buyer can run the report without an API key, private dataset, or production client account.
Choose the weekly handoff this Actor will produce before running another export.
Show the safe input, scored rows, and the exact team handoff for Monday.
Anchor each use case to one Actor, one sample, and one output artifact.
Need this adapted before the first run?
Send a public-safe workflow request if the sample, setup, or output handoff needs a variant.
Keep requests public-safe: no credentials, private URLs, customer data, emails, or sensitive business data.