How to Use Waikay to Deliver Value From Day One
AI is powerful, but it can be difficult to strike the right balance between adopting a new tool and proving its value quickly. With Waikay, you can start providing meaningful insights to multiple clients on day one. Here’s how:
1. Choose Competitors Wisely
When you first set up Waikay, you’ll be asked to select two competitors. This step is more important than it looks.
Pick competitors that are genuinely similar to your client’s offering — not just the biggest names in the industry, but the ones that overlap most closely in product, service, or positioning. The aim is to benchmark against direct competitors and identify the gaps your client can fill.
By choosing carefully, you’re setting the stage for insights that are both relevant and actionable. This isn’t the full extent of competitor analysis that Waikay can provide, but it creates a strong foundation and gives you early benchmarking points to share with your client.
2. Check if the Brand Appears in Training Data
One of Waikay’s most powerful early insights is whether your client’s brand is present in the training data of major large language models (LLMs).
Waikay queries four different LLMs to see what they know about your client’s brand without accessing the internet — relying only on their internal training data. This is crucial because it tells you whether the brand is “known” to the models at a foundational level. If it is, you can start shaping and reinforcing that narrative. If it isn’t, you know where to focus your efforts.
Important note: Clients sometimes test this themselves by asking ChatGPT or another model about their brand, and then assume Waikay is wrong if they see results. What they don’t realize is that their personal chat history and the model’s web access can influence those answers. Waikay’s test uses a clean API call with no browsing or history, so it reflects the true baseline of what the model knows. Explaining this distinction to clients builds trust and positions you as the expert.
3. Create a Topic Report on a Key Area
Next, generate a topic report on one critical area of your client’s site. This costs just 1 credit (and can even be done on a free account).
The topic should be an entity central to the brand’s positioning. For example:
- A dog food company might choose “chicken” to test whether LLMs recognize their chicken‑based products.
- A wellness brand might choose “healthy” to see if their positioning is reflected.
Waikay will ask the four LLMs: “What do you know about [brand] in the context of [topic]?” The responses reveal whether the brand is being associated with the right entities, attributes, and themes.
Getting this right the first time minimizes costs and maximizes the relevance of the insights. It also gives you a concrete, client‑friendly deliverable you can share immediately.
Share the Action Plan With Your Client
Every topic report comes with an automatically generated action plan at no extra cost. This plan outlines recommendations based on the LLM responses, giving you a ready‑made set of insights to share with your client.
If the recommendations are strong, send them straight away — it’s a quick win that demonstrates value from day one. If the insights are promising but the client has a large or complex site, or if you’re working with a high‑value prospect, consider upgrading to an Advanced Report.
An Advanced Report costs 10 credits, but the depth of analysis is significant. It provides a much richer set of insights, and external benchmarks value this level of reporting at closer to $7,000. For important clients, this investment can pay off immediately in credibility and strategic direction.
Final Thought
With just a few steps, Waikay helps you deliver immediate, credible insights to your clients. From competitor benchmarking to training data checks, topic reports, and actionable recommendations, you’ll be able to show value from day one — and set the stage for long‑term AI strategy.
