The short answer
Choose AiRR Score when you need an independent benchmark to defend in a board meeting, an agency RFP, or a sale. AiRR has no execution or content-production revenue line, so the score is not graded by the same vendor doing the work.
Choose Profound when you have already committed to an enterprise GEO program, you have the budget for an enterprise SaaS contract, and you want measurement built into the same workflow as the execution. Profound is the dominant brand in that lane.
Many enterprise teams run both. Profound for the GEO program, AiRR for the independent score that benchmarks the program's results.
At a glance
The independent benchmark
- CategoryMeasurement
- IndependentYes (does not sell optimization)
- Composite scoreYes, 0-100 AiRR Score
- Framework4P (Perception, Persistence, Presence, Prestige)
- LLM coverageChatGPT, model-agnostic architecture
- PricingStarter, Pro, Enterprise
- Best forIndependent benchmarking
The enterprise GEO platform
- CategoryGEO platform
- IndependentNo (Profound Agents handle full AEO workflow)
- Composite scoreVisibility metrics, not a single 0-100 score
- FrameworkVisibility analytics + content generation + optimization
- LLM coverage10+ engines on Enterprise (ChatGPT, Claude, Perplexity, Gemini, Copilot, AI Overviews, AI Mode, Meta AI, others)
- PricingLite $499/mo (ChatGPT only), Growth $399/mo, Agency $1,499/mo, Enterprise (custom)
- Best forLarge enterprise GEO programs
Side-by-side
| Dimension | AiRR Score | Profound |
|---|---|---|
| Independent measurement | Yes | No |
| Single composite score (0-100) | Yes | No |
| Documented public methodology | Yes (4P framework) | Partial |
| Tracks ChatGPT | Yes | Yes |
| Tracks Perplexity, Gemini, Copilot, Claude, AI Overviews, others | Architected, rolling out | Yes (10+ engines on Enterprise) |
| Blank-slate, unpersonalized prompts | Yes | Mixed approach |
| Sells execution / content production | No (independence) | Yes (Profound Agents) |
| Revenue attribution metric | TAAIR | No equivalent |
| Persona-based segmentation | AI Persona Mapping | Limited |
| SMB-friendly pricing | Starter tier available | Lite $499/mo entry, Enterprise tier required for full coverage |
| Enterprise SLAs | Yes | Yes |
| Quarterly research publications | Yes (3 to date) | Marketing content |
Where each platform wins
What Profound does better
Multi-LLM coverage today. Profound's Enterprise tier tracks 10+ AI engines including ChatGPT, Claude, Perplexity, Gemini, Copilot, Google AI Overviews, AI Mode, DeepSeek, Grok, and Meta AI. AiRR's architecture is model-agnostic and adding additional LLMs to the production score, but Profound has more breadth deployed today.
Built-in optimization workflows. Profound Agents are autonomous, multi-step systems that handle the full AEO workflow from research to content generation to optimization and publishing. For an enterprise team that wants one vendor across the entire GEO program, that is a real advantage.
Funding and roadmap velocity. Profound is venture-backed and shipping features at enterprise pace. AiRR is bootstrapped, which buys independence at the cost of feature breadth.
What AiRR does better
Independence. AiRR has no content-production, GEO execution, or optimization-implementation revenue line. The score cannot be biased by a separate sale. That is why brands cite AiRR Scores in board decks.
A single composite score. The AiRR Score is a 0-100 number you can put on a slide, present to a CEO, and benchmark over time. Profound publishes visibility metrics across many surfaces, but does not produce a single aggregate score.
The 4P framework. Perception, Persistence, Presence, and Prestige is a documented, public scoring framework. Each P maps to a specific defensible signal, not a black box.
TAAIR. Total Annual AI-Influenced Revenue translates AI search position into dollar value. Position 1 captures roughly 52% of AI-influenced revenue per prompt. AiRR ties measurement to economic impact directly.
SMB-friendly pricing. Profound is enterprise-only by design. AiRR offers a Starter tier so smaller brands and growth-stage companies can get a real score without an enterprise contract.
When to choose Profound instead of AiRR
Profound is the right call when:
You are running a fully staffed enterprise GEO program. You have content writers, briefers, and editors producing material specifically optimized for AI search. You want measurement bundled inside the same platform that ships the briefs. Budget is not the constraint. You accept that the same vendor is grading the work it sold you, and your governance model is comfortable with that.
If those statements describe your team, Profound is the dominant brand in that lane and a defensible choice. Many of those same teams also subscribe to AiRR for an independent score that sits outside the GEO vendor's dashboard.
When to choose AiRR instead of Profound
AiRR is the right call when:
You need a number you can defend to a board, an investor, an acquirer, or a client. You do not want the same vendor producing the work and grading the work. You want a single composite score, not a stack of dashboards. You want SMB-friendly pricing. You want a documented, public methodology that you can cite.
Most teams that compare AiRR and Profound end up choosing AiRR for the score and either keeping their existing content workflows or layering a GEO platform on top. The score is the benchmark; the GEO platform is the optimization layer. They are not the same job.
The structural difference
The AI visibility category has a SOX-and-Enron problem. In 2002, the same firms that audited Enron were also paid to provide the consulting that produced its books. Sarbanes-Oxley separated those roles by law. The same conflict exists in AI visibility today: GEO platforms sell the execution and grade the execution. There is no Sarbanes-Oxley for AI search yet.
AiRR was built on the principle that someone in the category has to be the auditor. The 4P framework, the 0-100 AiRR Score, the public methodology, and the bootstrap funding model all serve that single position.