Waikay review
Ranked #34'What AI Knows About You' — topic-based AI knowledge audits for brands.
Our verdict
Waikay's angle is analysis over dashboards: a Knowledge Score for how well AI understands your brand, and a Fact Tracker that flags hallucinations AI tells about you — a feature almost nobody else offers at $24.95/mo. The caveats are proportionate to the price: confusing credits (its own FAQ apologizes), a Reddit accuracy shrug, four engines, and its own admission that API answers differ from what users actually see in chat UIs. Cheap, clever, lightweight.
Best for: Marketers who want cheap, insight-flavored AI audits — including hallucination detection — and accept credit confusion and modest accuracy.
Waikay (What AI Knows About You) audits what AI engines believe about your brand on the topics you care about, then reports gaps, errors, and competitor advantages with suggested actions.
The topic-first approach suits comms and PR teams who think in narratives rather than keywords.
Insight over monitoring
Waikay (from the orbit of Majestic's Dixon Jones) sells reports, not just line charts: its Knowledge Score grades how completely and correctly AI engines understand your brand, and the Fact Tracker surfaces factual errors — hallucinations — that engines repeat about you, which is arguably the most actionable single finding a GEO tool can produce. It covers 4 engines in 13 languages, with 3 free credits to try.
For brand and comms teams, 'here's what AI gets wrong about you' beats 'here's your mention count' every time.
The rough edges
The credit model is the top complaint — confusing enough that Waikay's own FAQ exists partly to explain it, and users still report surprise at what consumes credits. Accuracy gets a shrug from Reddit testers ('didn't feel super accurate'), and Waikay's own FAQ candidly admits its API-based querying can return different answers than the consumer chat interfaces users actually see — an honesty point, but also a real measurement gap.
The evidence base is thin (about 18 G2 reviews), coverage stops at four engines, and the entry price has quietly crept from $19.95 to $24.95. All forgivable at this price point; all worth knowing.
| Check | Status |
|---|---|
| Hallucination detection (Fact Tracker) | Yes — rare at any price |
| Engines covered | 4 |
| Credit clarity | Poor — own FAQ addresses complaints |
| API vs real chat UI answers | Can differ, per own FAQ |
| Independent reviews | ~18 on G2 |
Who should buy it
Brand and comms teams that want the hallucination angle cheaply — run the free credits, and if the Fact Tracker catches one real error about your company, it's paid for itself.
Teams needing rigorous, engine-faithful measurement should treat Waikay as a supplement, not the system of record.
Waikay pricing
| Plan | Price | What you get |
|---|---|---|
| Free | $0 | 3 credits to test reports |
| Paid | From $24.95/mo | Credit-based reports, Knowledge Score, Fact Tracker, 13 languages |
How Waikay compares
| Tool | Category | Pricing | Best for |
|---|---|---|---|
| Waikay (#34) | AI visibility tracker | Free (3 credits); from $24.95/mo | Marketers who want cheap, insight-flavored AI audits — including hallucination detection — and accept credit confusion and modest accuracy. |
| Promptwatch (#2) | AI visibility tracker | From $29/mo | Teams that want evidence-grade tracking, alerts, and competitor share without enterprise pricing or onboarding. |
| Otterly.AI (#4) | AI visibility tracker | From $29/mo | SMBs and first-time GEO buyers who want the cheapest credible entry — and can live with weekly-ish data. |
| LLM Pulse (#21) | AI visibility tracker | From €49/mo | Small teams and agencies that want transparent self-serve pricing and whole-team access without seat fees — at weekly cadence. |
Key features
- Topic-based AI knowledge audits
- Gap and error reporting
- Competitor narrative comparison
- Action suggestions per topic
Frequently asked questions
What is Waikay's Fact Tracker?
It flags factual errors — hallucinations — that AI engines state about your brand, so you can correct the sources they draw from. Almost no other tool at this price offers hallucination detection.
Why don't Waikay's answers match what I see in ChatGPT?
Waikay queries engines via API, and its own FAQ admits API responses can differ from the consumer chat interfaces. Treat its findings as representative samples, not exact replicas of user experience.
How do Waikay credits work?
Reports consume credits by scope, and the model confuses enough people that Waikay's FAQ addresses it directly. Start with the 3 free credits to learn the burn rate before subscribing.
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