aiva vs. Ahrefs Brand Radar: What Is Being Measured?
What This Is About
Having compared Semrush AI Visibility and aiva, it is worth looking at the second tool frequently mentioned in the B2B environment: Ahrefs Brand Radar. The comparison turns out differently than against Semrush, because Ahrefs brings its own, very strong lever: its huge link index.
Ahrefs explains LLM visibility primarily from the perspective of “Why do AI engines cite certain domains?”. aiva asks from the perspective of “Am I found for my customers’ real questions – per industry, language and brand?”. The two tools therefore compete less than they work on different levels.
As always: the point is not to talk Ahrefs down. For SEO teams already working in the Ahrefs ecosystem, Brand Radar is an obvious and powerful add-on. The point is to make transparent which question it answers – and which it does not.
In Brief
- Ahrefs Brand Radar is an SEO/link-index-driven tool. Its strength: with an index of over 30 trillion links, it can explain why AI engines cite some domains more often than others. It views the LLM world primarily through domains and citation sources.
- aiva is a strategic LLM visibility analysis with manually curated prompts per industry, persona, intent and use case, multilingual (incl. German), with customer-specific competitors and an open, auditable methodology.
- In short: Ahrefs Brand Radar = SEO/citation-source analysis. aiva = strategy foundation.
What Is Being Measured?
Rows = dimension, columns = tool. Highlighted in light blue: aiva.
Dimension | Ahrefs Brand Radar | aiva |
|---|---|---|
| Basic logic | SEO/link-index-driven; domain and citation-source view | Strategic GEO/LLMO analysis from a buying-journey perspective |
| LLM coverage | ChatGPT, Perplexity, Google AI Overviews, AI Mode, Gemini, Microsoft Copilot – without Claude, Grok, Meta AI, DeepSeek | ChatGPT, Claude, Perplexity, Gemini – all fully covered |
| Prompts | Database- and keyword-driven (index of over 239 million prompts); supplemented by custom prompt tracking | Manually curated prompt sets per industry, persona, intent, use case – transparent and adaptable |
| Language | Strongly English- and SEO-centric | Multilingual, incl. German |
| Regions | Tied to the SEO/index logic | Freely definable |
| Competitors | Domain-centric | Definable per industry |
| Brand logic | Domain-centric (one main brand) | Multi-layered: corporate brand, subsidiaries, product brands, generic terms |
| Methodology transparency | Rather a black box, database-driven | Open, auditable (dimensions, personas, prompts viewable as Excel) |
| Depth of results | AI mentions, AI citations, share of voice; strength: explains why domains are cited | Score plus context: why this visibility? Which sources? Who do you lose to per use case? |
| Special feature | Additionally tracks YouTube and TikTok mentions as an early indicator (beta) | Consulting-based setup as the result of GEO/LLMO strategy work |
| Pricing logic | Base plan from around USD 129/month; AI modules as add-on – approx. USD 199/month per index or USD 699/month for the 6-platform bundle | Consulting-based setup |
Why This Difference Matters
Missing models are a blind spot
Brand Radar does not natively cover key models, including Claude, Grok, Meta AI and DeepSeek. Claude in particular matters because, due to a different training-data logic, it delivers different results than ChatGPT or Gemini. Anyone measuring only the covered engines sees an incomplete picture. aiva fully covers the relevant models, including Claude and Chinese models.
Keyword logic is not prompt logic
Brand Radar is database- and keyword-driven in its DNA. That is excellent for macro analyses and large-scale competitive monitoring. But it is something different from a prompt set curated per industry that reflects the real questions of your buyers along their buying journey.
The link strength is an SEO strength – not a strategy answer
Ahrefs’ big advantage is explaining why certain domains get cited. That is valuable for technical and content SEO work. But it does not answer the strategic question of which competitors you are losing to in AI answers per industry and per use case – and why.
Accuracy is critical for investment decisions
Independent tests document sampling and accuracy issues with Brand Radar; in one case, 3 reported ChatGPT mentions stood against an actual 123. For a quick directional read, that may be enough. For audit-relevant decisions on GEO budgets, you need a traceable, reproducible methodology.
Transparency beats black box
Brand Radar delivers a lot of data, but the logic behind it remains largely hidden. aiva lays open every dimension, every persona and every prompt – viewable, auditable and adaptable.
Our Honest Positioning
Ahrefs Brand Radar is a strong tool for SEO teams that work in the Ahrefs ecosystem and want to understand why AI engines cite certain domains. If you need this SEO/link perspective anyway, Brand Radar is a sensible add-on.
But as soon as strategic steering is at stake – multiple industries, multiple brands, multiple languages, a real GEO/LLMO strategy – aiva works on the level above: not as an SEO tool, but as a strategic visibility analysis that supports steering decisions.
In a nutshell:
- Ahrefs Brand Radar = SEO/citation-source analysis.
- aiva = strategy foundation.
A Question for Self-Assessment
Before you decide whether Brand Radar covers your needs:
“Does my tool measure all models relevant to me, including Claude, Mistral or Chinese LLMs? Does it reflect my customers’ real questions instead of keyword-derived prompts? And can I trace which competitors I am losing to per industry and use case, and why?”
If the answer is “no” or “only partially”, the tool delivers valuable SEO signals, but not the strategic foundation for your GEO investments.
➡️ Learn more about aiva here
➡️ Download aiva sample analysis (PDF).
➡️ Request your custom analysis here!