peec.ai · Otterly · Profound vs. aiva
peec.ai, Otterly and Profound are among the best-known tools for "visibility in LLMs". At first glance, they solve the same task as aiva. In fact, they differ fundamentally:
in business model,
in model and language coverage, and
in the question of who does the analysis and interprets it.
In Brief
peec.ai, Otterly and Profound are SaaS tools: self-service dashboards on subscription or with prompt quotas that the customer sets up, operates and interprets themselves. Profound is the platform among them most strongly geared toward enterprise use.
aiva is not a SaaS product: it is a consulting-based LLM visibility analysis including testing and actionable recommendations - with steered, AI-generated prompts per industry, persona, intent and use case, an open methodology and full coverage of both the Western and Chinese LLM ecosystem.
For global industrial B2B companies with multiple industries, languages, brands and China as a market, pure SaaS dashboards reach clear limits.
Comparison Table: What Is Being Measured?
| Dimension | peec.ai | Otterly | Profound | aiva |
|---|---|---|---|---|
| Category / Model | SaaS subscription | SaaS subscription | SaaS (enterprise focus) | Consulting + testing as a service |
| Western LLMs | Base engines (ChatGPT, Perplexity, AIO); extended models depending on tier/enterprise | 4 base engines (ChatGPT, Perplexity, AIO, Copilot); Gemini/Claude/AI Mode as add-on | Up to ~10 engines (broad model set) | All frontier models fully covered |
| Chinese LLMs | DeepSeek only (add-on) | None | DeepSeek only | DeepSeek, Doubao, Ernie, Qwen, Hunyuan, Kimi |
| Languages | Prompts in 115+ languages; dashboard | Prompts in all languages; dashboard EN only | Prompts in 30+ languages; dashboard | Prompts in all languages; analysis & delivery in DE/EN/FR/ZH |
| Regions | Multi-country | 50+ countries | 150+ regions | Freely definable |
| Prompts / question logic | AI-suggested + own | Keywords → prompts | Auto-generation / consumer data | AI-generated, steered by strategy & dimensions (strengths/weaknesses/gaps) |
| Brand & industry logic | Domain-centric / generic | Brand-centric / generic | Multiple assets/product lines possible | Multi-layered: group, subsidiaries, products & generic terms in parallel |
| Methodology transparency | Largely a black box | Largely a black box | Prompts editable, otherwise platform logic | Open: dimensions, personas, prompts auditable as Excel |
| Recommendations | Monitoring, little guidance | Automated GEO tips | Recommendations + content agents | Consulting-based, strategic recommendations |
| Pricing / delivery model | Ongoing subscription (tiered plans + add-ons / enterprise) | Affordable base subscription (+ add-on costs) | Predominantly custom enterprise | One-off project/consulting engagement |
| Ideal for | Marketing teams & agencies | Lean teams, affordable entry | Enterprise brands with their own GEO team | Global industrial B2B players (multi-brand/multi-market incl. China) |
Why This Difference Matters to You
The Blind Spot: China
Of the Chinese models, Profound and peec.ai cover only DeepSeek; Otterly covers none at all. If your target markets are in China, or if local systems are used (Doubao, Ernie, Qwen, Hunyuan, Kimi), pure SaaS tools simply do not measure this part of reality. aiva covers the entire Chinese ecosystem.
Industry and Brand Complexity
Industrial B2B players operate under multiple brands (group, subsidiaries, product brands) and compete against different competitors depending on the segment. SaaS tools are often strongly brand- or domain-centric. aiva is designed from the ground up for complex multi-industry setups, subsidiaries and specific B2B terminology.
Steered Questions Instead of Generic Volumes
Many tools work with extrapolated B2C panels or simple keyword generators. For niches within industrial B2B (often only a few hundred decision-makers worldwide), consumer data provides little steering value. aiva generates targeted, qualified prompts along the actual buying journey (BOFU, specific personas, specific use cases).
Conclusion
With peec.ai, Otterly and Profound, you buy a tool and operate it yourself - you define prompts, read dashboards and draw your own conclusions. With aiva, you buy the outcome: a curated analysis with concrete recommendations for your GEO/LLMO strategy. As soon as multiple industries, languages, nested brand structures and the Chinese market come together, a pure dashboard is usually not enough - and that is exactly the gap aiva closes.
Want to know which technical and content measures boost your AI visibility the most - and whether the measures you have implemented are actually working?
An aiva analysis delivers both, in numbers.
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