Portfolio – Layernext AI

Client: LayerNext AI

Industry: AI/ML SaaS

Using competitor data to inform a startup's go-to-market strategy

Goal

Conduct competitor research to validate internal assumptions about industry trends, product positioning, and market influences.

Outcomes

The company’s product was compared against 6 major competitors in the industry.
An insightful deck containing actionable marketing tactics was presented for the founders.
[Follow up] Case studies were written to exemplify the product’s value for 3 different industries.

Competitor research format

Product naming: Keyword research and industry-standard comparisons were among the data used to make an informed decision.

Marketing content and tone of voice: Assessing competitors’ blog and keyword traffic prioritized the type of content to create for inbound marketing.

Outbound channels: Assessing advertising channels provided clarity on how competitors reach similar audiences – without reinventing the wheel.

Website demos: Documenting key demo features of competitors’ websites enabled LayerNext to ensure they stay informed what customers look out for.

Case study format

Interview: Co-founders were interviewed to understand how the SaaS met their customers’ needs.

Writing: Industry-specific challenges with solutions and quantified metrics (time and money saved) were communicated in the case studies, both in long-form and short-form formats for different use cases.

The case studies were published on the LayerNext website, however the company has since pivoted its solution to cater to a bigger market.

Kind words

“Jude has been an absolute pleasure to work with. With her creativity and resourcefulness, we were able to refresh our outbound messaging, revamp our inbound funnel and build up a new community that really impact the business positively. Highly recommended!”