Move from “Are we visible?” to “What should we do next?”
Aivius combines live AI search observations, competitor context, published research, and repeat measurement. The goal is not another vanity dashboard—it is a defensible list of growth experiments your team can prioritize and test.
Observe
Collect matched buyer-intent answers from available engines.
Diagnose
Separate mentions, recommendations, citations, and failures.
Prioritize
Rank gaps by evidence, intent, feasibility, and confidence.
Execute
Turn findings into scoped content and source experiments.
Measure
Repeat a fixed protocol and document what changed.
Pay for the number of decisions you need researched.
One research unit has a fixed evidence boundary. Volume bundles lower the price per unit without reducing the human-review standard.
Growth Snapshot
A small live sample that confirms the brand and category before querying configured platforms. Directional, not market share.
Get free snapshotSingle Research Report
One brand or product, one market or language, one buyer decision topic, up to 20 prompts, and one human-reviewed report.
Order 1 research reportResearch Bundles
Buy two or ten research units to compare topics, products, markets, or languages at a lower price per report.
Compare packagesSignals with clear boundaries
Recommendation evidence
Whether and how a brand is proposed for a specific buyer question.
Citation evidence
Whether an owned domain is cited, and which external sources appear.
Competitive context
Only independently observed product competitors—not publishers mistaken for rivals.
What Aivius does not claim
A small prompt sample is not market share. A failed provider is not zero visibility. Correlation is not causation. Aivius does not guarantee rankings, citations, traffic, or revenue, and does not present unmeasured competitor values as scores.
Current supported workflow
Live snapshots target ChatGPT, Perplexity, and Gemini when their providers are configured and available. Platform status and partial completion are shown explicitly.
Review the published methodology →Find the next AI search opportunity worth testing.
Start with a free snapshot or inspect the evidence behind a published benchmark.