Comparison

Profound vs AirOps

Profound and AirOps are both AI visibility tools that measure how AI answer engines describe your brand. Profound is pitched as "G2 AEO Leader with prompt volumes and Agent Analytics". AirOps leans on "Content Engineering platform with AI workflows and Page360". Recall is the third option worth weighing here: it tracks the same engines and stores every answer it collects, so each number it reports opens onto the response and cited pages behind it.

Profound

AI Visibility Tracking

G2 AEO Leader with prompt volumes and Agent Analytics

Visit tryprofound.com

AirOps

Content GenerationFree tier

Content Engineering platform with AI workflows and Page360

Visit airops.com

Recall

Evidence-LinkedCause AttributionMeasured Verdicts

Measures how ChatGPT, Copilot, Perplexity, Gemini, and Google AI Overviews answer your buyers’ questions, and keeps the evidence: the stored answer behind every number and the pages it cited.

Profound vs AirOps vs Recall

FeatureProfoundAirOpsRecall
Core Tracking
Multi-LLM Tracking
AI Visibility Score
Citation Analytics
Competitor Benchmarking
Brand Mention Tracking
Platform
White-Label / Agency
Open Source
Content Generation
Advanced Analytics
Prompt Volume Estimates
Sentiment Analysis
AI Crawler Analytics
Geographic Tracking
Social Media Tracking
Shopping Tracking
Multi-Language
Actionable Insights
Action Recommendations
Content Gap Analysis
AI Site Audits
AI Keyword Research
Reporting & Integration
Email Alerts
Data Export / API
BI Connectors

/ FAQ

Frequently Asked Questions

What is the difference between Profound and AirOps?
Profound is an AI visibility tracking tool, while AirOps is a content generation tool, so they come at AI visibility from different angles. On features, Profound stands out for Competitor Benchmarking and Prompt Volume Estimates, while AirOps adds Content Gap Analysis. Both are hosted products.
Is Profound or AirOps better for AI visibility tracking?
Neither is simply better; it depends on your priorities. Both track how AI engines mention and cite your brand across the major models, so the decision comes down to which feature set and workflow suit your team. Recall is worth putting in the same evaluation: it measures the same engines and hands back the answers, citations, and intervals that each figure was computed from.
Is there an open-source alternative to Profound and AirOps?
The open-source projects in this space are GetCito, GEO/AEO Tracker, Canonry, and OneGlanse. Recall is a hosted platform rather than an open-source one; what it opens up is the evidence, with every mention, citation, and competitor figure traceable to the stored answer it came from across ChatGPT, Copilot, Perplexity, Gemini, and Google AI Overviews.

Ready to track your AI visibility?

Start with the buyer questions closest to revenue or deal flow, preserve every answer and source, then measure whether the work changed the shortlist.