Valoh
LLM Brand Measurement Infrastructure
Your customers are asking AI what to buy.
No one is auditing what it says back.
Valoh is the independent measurement layer for brand presence in LLM environments — in the DoubleVerify lineage, not the SEO-tool one. Daily tracking, transparent methodology, third-party data for the team that has to answer for the spend.
Or start with a free 7-day pulse
Valoh is not a content optimization platform, not an SEO tool, not an AEO or GEO tool. It's the audit layer for how AI represents your brand. We measure. We don't recommend.
The Measurement Gap
Programmatic had DoubleVerify. Display had IAS.
AI has a hundred AEO tools and no measurement layer at all.
Customers are asking AI what to buy. No one can tell you what it says back — whether it recommends you, your competitor, or neither. The AEO and GEO categories sell optimization advice. Nobody sells the audit.
That's a category gap, not a product gap. Every measurement era — TV with Nielsen, programmatic with DoubleVerify, display with IAS — needed an independent layer before the spend got serious. AI is in the same place now.
Built for CMOs, measurement leads, and agency accountability teams. Not for the SEO desk.
Five Signals · Every Model · Every Day
The same signals AEO tools report. Collected and validated like a measurement layer, not a dashboard.
| Signal | What it measures | Reported |
|---|---|---|
| Mention Rate | Does the brand appear at all when a user asks about its category? | % / day |
| Rank Position | When mentioned, where in the response list does it appear — first or afterthought? | avg rank |
| Sentiment | How is the brand described — positive framing, neutral, or cautionary? | −1 to +1 |
| Competitor Citations | Which competitors appear alongside the brand, and which get recommended instead. | named set |
| Recommendation Strength | Is the model actively recommending the brand, or just listing it among options? | tier 1–4 |
Signals are reported as observed values. We do not interpret them, prioritize them, or suggest changes to your content based on them. That's the line between measurement and optimization.
How We Collect
Frozen prompt sets. Multiple models. Daily refresh.
Documentation public.
- 01
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Frozen prompt sets, defined once.
Prompts are constructed up front by category and locked. Clients do not influence prompt phrasing during a measurement window — that's how independence is preserved. - 02
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Four LLMs covered, queried separately.
ChatGPT, Gemini, Claude, and Perplexity. Each is queried independently, results are reported per-model rather than averaged. - 03
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Daily refresh, with timestamped raw responses.
Every signal is sourced from a logged conversation. Raw transcripts are retained and accessible to the client for audit. - 04
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Open methodology paper.
Sampling, prompt construction, validation, and known limitations are published. We don't run a black box.
Where Valoh sits
Valoh is to AEO tools what DoubleVerify is to SEO tools.
One measures. The other optimizes.
| Valoh | AEO / GEO Tools | |
|---|---|---|
| Output | Audit-grade measurement of brand presence | Recommendations to improve brand presence |
| Buyer | CMO, CFO, measurement lead, agency accountability | SEO / content team, growth marketing |
| Lineage | DoubleVerify, IAS, Nielsen, MRC-track measurement | SEMrush, Ahrefs, content optimization tooling |
| Independence | Cannot be a measurement firm and an optimization firm. We are not. | Optimization tools have an interest in the score moving up |
What you'll get
A standing report. Same five signals. Updated daily. No advice attached.
Valoh delivers a per-brand report that reads like a measurement filing, not a dashboard pitch. Daily values, model-by-model, with the raw transcripts available behind every number.
Early Access
We're onboarding the first cohort now.
If you're a CMO, measurement lead, or agency accountability lead and you want to see what AI is saying about your brand — independently measured — leave your email.