NuMorph AI Inc.

Website & Brand Visibility Optimization (SEO & GEO)

The Team

Claudio Schmidlin, Nicola Willisch and Homere Mehari worked with Dr. Deepak Srivastava, founder and CEO of NuMorph AI Inc., over six weeks in Silicon Valley.

Our project was supervised by Dr. Christian Schucan and Benjamin Emmenegger from Lucerne University of Applied Sciences and Arts (HSLU).

The Project

NuMorph AI develops low-power, low-latency neuromorphic AI solutions inspired by the way biological systems process information. Its technology focuses on sensors, chips and edge applications such as robotics, drones and industrial vision, where fast processing and low energy consumption matter.

But advanced technology alone does not make a company discoverable. At the beginning of our project, NuMorph had no established strategy for traditional Search Engine Optimization (SEO) or the emerging field of Generative Engine Optimization (GEO). Our goal was therefore to improve how search engines and AI systems can find, understand and represent NuMorph online.

The Starting Point

We first established a baseline covering two different perspectives: the technical and content-related readiness of numorph.ai, and NuMorph’s actual visibility in AI-generated responses.

The assessments showed a basic technical foundation, but significant potential around content depth, structured information and authority signals. NuMorph was also far more likely to appear when users explicitly searched for the company than when they asked broader questions about relevant technologies, vendors or use cases.

By the Numbers

4 independent website assessments were used to evaluate SEO and GEO readiness.

30 questions × 4 LLMs = 120 responses were evaluated across ChatGPT, Gemini, Claude and Perplexity.

32.5% overall mention rate was observed in the initial LLM assessment, including direct and indirect mentions.

0% mention rate for technical queries showed how difficult it was for NuMorph to appear organically when the company was not explicitly named.

Our Approach

Instead of selecting tools based on preference, we compared open-source alternatives through weighted Utility Value Analyses. Evaluation criteria were derived from the project’s requirements, prioritized and weighted before the tools were scored.

The project then followed an iterative cycle: assess the initial situation, select suitable tools, implement improvements and validate the resulting changes. Regular meetings with the sponsor were used to review priorities and implementation decisions throughout the six weeks.

What initially looked like a relatively small optimization project also changed considerably along the way. After gaining access to cPanel during the project, we were able to move beyond the limitations of the existing GoDaddy website builder. A separate staging environment was created, allowing us to implement and test a more extensive technical setup before changes reached the main website.

Deliverables

Final project documentation, including methodology, baseline assessment, tool evaluation and selection, implementation, results, and recommendations
SEO- and GEO-optimized version of numorph.ai
Cloudflare-based setup for crawler access, technical delivery, and monitoring
Markdown-based content maintenance files / pipeline
Four operational handover guides:
– SEO & GEO Check-Up
– Cloudflare Guide
– Content Editing Guide
– AI Editing Rules

Project Log

Week 1 – Understanding the Problem

Project kickoff with NuMorph and definition of the project scope. We established the initial SEO and GEO baseline and identified the main visibility gaps.

Week 2 – Building the Baseline

We evaluated SEO and GEO tools using weighted Utility Value Analyses and started developing the keyword strategy for NuMorph.

Week 3 – Technical Setup

After gaining access to cPanel, we created a separate staging environment and started implementing the optimized website setup.

Week 4 – SEO & GEO Implementation

We implemented SEO improvements, structured data and GEO-related elements such as llms.txt, robots.txt and ai.txt. The monitoring tools were also evaluated.

Week 5 – Integration & Monitoring

We refined the website based on sponsor feedback, implemented clean URLs, integrated the landing page from the parallel NuMorph team and configured the monitoring setup.

Week 6 – Validation & Handover

coming soon 🙂

The Experience

Working with an early-stage Silicon Valley startup meant that the project rarely stood still. Technical possibilities changed, requirements evolved and decisions sometimes had to be reconsidered within days. The discovery of cPanel access halfway through the project is probably the best example: it changed both our technical approach and what we could realistically deliver.

That made the project much more than an SEO exercise. We worked across analysis, tool evaluation, web infrastructure, AI discoverability, implementation, monitoring and client handover while applying what we had learned at HSLU to a real company with real constraints.

Beyond the Desk:
TGIF with NuMorph AI

TGIF with NuMorph AI, Silicon Valley, August 2026. Two separate HSLU teams, ours working on SEO and GEO, the other on marketing and the technical whitepaper, both building for NuMorph AI this summer, got together for beer, finger food, and conversations that ranged from Dr. Srivastava’s NASA stories to new business ideas. A good reminder that behind the utility value analyses and cPanel logins, this is still a handful of people building something from scratch.