Waikay
Waikay · Other
Waikay is an AI monitoring platform that answers a simple question: what do the major AI models actually say about your brand? It runs your brand through ChatGPT, Google, Claude, and Sonar (Perplexity), scores how often you get mentioned against competitors, and flags the claims AI gets wrong. Marketing teams use it to find content gaps and fix their AI footprint before those gaps cost them visibility.
About Waikay
What Is Waikay
Waikay stands for "What AI Knows About You," and that's a fair description of the job it does. It's a web-based AI brand visibility tool for marketers, brand managers, and agencies who want to know how large language models describe their company and products. The pitch is straightforward: as more people ask AI assistants for recommendations instead of scrolling search results, the version of your brand living inside those models starts to matter as much as your homepage.
The platform tracks your brand across six AI models and hundreds of prompts, then reports how often you're mentioned, which pages get cited, and how you compare to competitors. Separate reports dig into whether AI understands your topic areas correctly, and a fact tracker pulls out every claim an AI makes about you so you can confirm or flag it. It sounds like a lot to manage. In practice, the workflow is fairly simple.
The main limitation is scope. Waikay tells you what the models say and suggests what to do about it, but it can't force a model to update its knowledge. You still have to publish the content and earn the citations yourself. Pricing also leans toward teams rather than solo hobbyists, and the early adopter tier only softens that a little.
Getting Started
- Create a Waikay account and set up your first project, then add the competitors you want to benchmark against. A brand analysis kicks off automatically.
- Add the topics and prompts that matter to your business, or let Waikay suggest prompts based on your brand and category.
- Set your reporting cadence so the platform re-checks those prompts on a schedule you control.
- Review the analysis: LLM mentions, citations, facts, share of voice, and AIO action plans grouped by topic.
- Work through the fact tracker to confirm accurate claims and flag anything AI got wrong, then use the gaps to shape your content plan.
Product Information
A quick look at Waikay's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Brand managers who need to see how their company is described across AI assistants without manually checking each one.
- SEO and content strategists shifting budget toward AI search optimization and wondering where their existing rankings translate into AI citations.
- Agencies monitoring several client brands at once, since higher plans support unlimited seats and multiple projects.
Tasks
- Measuring share of voice so you know what percentage of relevant AI answers mention you versus competitors.
- Catching hallucinations and out-of-date facts about your brand before customers repeat them.
- Finding content gaps by seeing which topics AI associates with competitors but not with you.
Scenarios
- Quarterly brand reviews where you need a before-and-after picture of your AI visibility.
- Launching a new product and checking whether AI models pick up the announcement.
- Pitching a client on AI search work and needing numbers to back up the proposal.
Key features
Brand Visibility Tracking
This is the core dashboard. Waikay tracks your brand across six AI models and hundreds of prompts, showing where you rank, how often you're cited, and how competitors stack up. Every prompt gets a share of voice score and a topical presence score, so you can watch your AI footprint shift over time as models update their knowledge.
Topic Reports
Topic Reports test how well AI models actually understand your brand by mixing training data and real-time grounded data. Each topic area gets an AI understanding score, and the report calls out where AI knowledge of you is thin or missing. Those gaps double as a content roadmap. The same topics that confuse an LLM usually need clearer pages behind them.
Fact Tracker
Waikay turns every AI-generated claim about your brand into a checklist. You mark facts as correct, flag the inaccurate ones, and see the specific hallucinations that could damage your reputation. It's the useful part of the platform. It keeps you ahead of a wrong claim instead of finding out from a customer.
AIO Action Plans
Beyond reporting, Waikay builds action plans per topic, and each plan points to concrete moves that could improve your standing in AI answers. The plans are the bridge between knowing you have a visibility gap and doing something about it.
Competitor Benchmarking
You can rank competing brands side by side across every tracked prompt. That view makes it obvious where you're losing ground on a specific question, and which competitor owns the answer you want. No guesswork involved.
API Access
On Level 2 plans and above, the Waikay API gives you programmatic access to your visibility data with standard JSON responses. Two endpoints cover projects and prompts, letting you pipe share of voice and citation data into Looker Studio, Google Sheets, or an automation tool like n8n. Credits are required per API call.
Pros and cons
Pros
- Tracks six AI models at once, so you get a cross-platform view instead of checking ChatGPT and hoping the rest behave the same way.
- The fact tracker is genuinely useful for reputation work, turning vague worry about hallucinations into a reviewable list.
- Topic-level understanding scores point directly at content gaps, which makes the shift from reporting to planning fairly quick.
- API access at the $69.95 tier means smaller teams can automate reporting without jumping to the top plan.
- Supports 13 languages across 40+ countries, which helps brands operating in more than one market.
Cons
- No free plan. The entry point is the early adopter offer at $24.95/mo, and the standard Small Teams tier runs $69.95/mo, so trying it properly costs money.
- Prompt tracking is capped per plan (120, 360, or 880), and going past that means buying extra credits, which is easy to underestimate.
- Waikay can't change what a model knows. It shows you the gap, but closing it depends on your own publishing and citation efforts.
Frequently asked questions
It measures how your brand shows up in AI-generated answers. Its ChatGPT brand tracking runs your prompts through six AI models, then reports mention counts, share of voice, which sources get cited, and whether the facts those models state about your company hold up.
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