About

AI visibility optimization, built for commercial solar.

KMS Signal exists because the way commercial buyers find providers has changed. Buyers now ask AI-powered search and recommendation systems who they should consider — and many capable commercial solar companies are not consistently discovered, understood, or represented in those answers.

Our work is to examine and improve the signals behind that visibility: technical accessibility, entity clarity, commercial and geographic relevance, evidence, and external corroboration — then measure what changes across relevant buyer-intent queries.

How we work

Principles that shape every engagement.

Research first

We test real buyer-intent queries before we recommend anything, and we keep testing after the work ships.

Technical, but understandable

The work is technical. The reporting isn't — you should always know what changed and why it mattered.

Honest about limits

AI systems don't publish their logic. We improve the signals we can influence and measure the outcome; we don't promise rankings.

One focused market

Commercial solar first. Depth in one market beats shallow coverage of many.

The company

Independent, focused, and small by design.

KMS Signal is a specialist practice rather than a full-service agency. We take on a limited number of commercial solar engagements at a time so that each one gets real research, real implementation, and continuous monitoring.

Every engagement starts the same way: establish the baseline, identify the gaps that matter, improve them in priority order, and keep measuring. Nothing about that process depends on buzzwords or guarantees.

The founder

Kassim Siraj, founder of KMS Signal.

I'm Kassim Siraj, the founder of KMS Signal. I started KMS Signal with a simple question: when a potential customer asks an AI system which companies they should consider, what information is that system actually using to understand those companies?

My focus is AI visibility — helping businesses become easier for AI-powered search and answer systems, including Gemini, ChatGPT, Perplexity, and Google's AI Overviews, to discover, understand, and represent accurately.

I chose commercial solar as KMS Signal's starting market because it is a specific, high-consideration industry where businesses are often researching providers, capabilities, locations, project experience, and other details before making a decision. That makes it a useful environment for studying how companies are represented across search and AI systems.

As part of that research, I tested 20 commercial-solar buyer-intent prompts in Gemini focused on Arizona. I recorded which companies appeared, the types of queries in which they appeared, and the patterns across categories such as commercial installers, EPC services, Phoenix, warehouses, manufacturing, carports, and larger projects.

That research became the Arizona Commercial Solar AI Visibility Benchmark, one of the foundations of KMS Signal's approach.

The research also shaped how I think about AI visibility. I don't see it as a shortcut or a way to "hack" AI systems. It is about making a company's information clearer, more complete, more consistent, and easier for search and AI systems to understand and verify.

KMS Signal exists to apply that thinking to commercial solar companies, through research, website and content optimization, entity clarity, and ongoing visibility monitoring. The goal is simple: build a stronger web presence that represents the company accurately wherever modern buyers are looking.

Ready to improve your AI visibility?

Start a conversation with KMS Signal about your commercial solar company's visibility across AI-powered search and recommendation systems.