Book a call with Elementera
What happens on the call
- We learn about your company, your buyers and your goals.
- We answer your questions about AI search visibility and how engines such as ChatGPT and Gemini choose which companies to recommend.
- We explain how our managed AEO services and Lenz work, and suggest where to start.
Prefer to look first? Get a free AI visibility report from Lenz.
What happens when
AI can find you
Elementera has done an amazing job. In less than four months, you have made me feel like a celebrity. I used to get a maximum of 200 impressions, and the last time I checked, we were at around 1.1 million. This is huge. Please keep up the great work.
We came to Elementera to expand our clinic and attract more patients. This team assessed our setup and explained every step and cost clearly. They grew our search visibility. They've stayed attentive and keep trying new ideas. We've seen a noticeable increase in new patients who found us through online search alone.
I am clearly seeing a positive shift in my reviews and bookings since I started working with Elementera. I will definitely recommend you to my other auto dealer friends, as I have a strong network in the industry.
What you have achieved in one month is amazing. The report you're giving me is excellent. I want to bring it to the board meeting and ask them to dedicate more budget to the AEO initiative.
How we work
We measure before we claim
Four rules we hold ourselves to on every engagement and every finding we publish.
We ask each question more than once
In our research measurements every question is asked at least three times, and repeated on another day before we believe a change.
We never pool engines
ChatGPT, Google AI Overviews, Perplexity, Claude and Gemini read different parts of the web. A result measured on one engine is reported for that engine only.
We publish a finding only with its scope
Every finding we quote names the engine, the kind of question and the sample it was measured on.
We record which model answered
Every measurement records the model we asked for and the model that actually answered, so a quiet model change never passes as a real result.











