You find out what is being said
The work starts by asking the assistants about your category and recording the answer, so the gap is measured rather than assumed.
Give answer systems accurate public sources about your AI product.
We observe how selected answer systems describe the company and its product, then improve the public information available to support those descriptions. The work records citations and variability without promising recommendations.
A few clients we’ve worked with
What we do
Generative engine optimization for AI companies: answer baseline, source improvements, repeatable checks.
What generative engine optimization needs to account for.
Third-party answers can combine current and obsolete product descriptions.
A mention does not establish that the answer is accurate.
Citation work must not encourage unsupported capability claims.
What happens when the model has never heard of you.
Buyers now ask an assistant before they ask a search engine. If the answer does not include you, the shortlist is set before you knew it existed.
Your pages become citable
Making claims, entities and evidence legible is what lets a model quote you instead of a competitor’s comparison page.
Presence off your own site
Part of being described correctly depends on sources you do not own, and that work is scoped explicitly.
Generative engine optimization scope.
Plan answer baseline, source improvements and repeatable checks as connected parts of the engagement.
Answer baseline
Record defined buyer prompts, returned descriptions and cited sources. Identify inaccurate capability or availability statements.
Source improvements
Clarify current features, deployment options and limitations on public pages. Connect statements to approved product evidence.
Repeatable checks
Revisit the same prompt set and note dates and source changes. Separate observed movement and unproven causation.
What clients say.
Reviews from the companies we have built and maintained websites for.
Read every review on Clutch“We didn’t choose them to be impressed — we chose them because we knew they’d deliver high-level results with no risk. As a CTO myself, that’s exactly what I look for in a long-term partnership.”
“And, you know, the great part about the fact that you hit the goal, it's not that you had to compromise anything that you were doing, because, honestly, the end result far exceeded what we could have imagined.”
“I would just say that you deliver on quality … I just thought we clicked, and you delivered what we were looking for.”
“Norml Studio's professionalism and responsiveness were impressive.”
Generative engine optimization deliverables.
The agreed generative engine optimization scope is documented in the following work products.
- 01
Dated prompt and citation baseline
- 02
Approved public-source improvement plan
- 03
Repeated observations and change log
Our process
How we approach generative engine optimization.
Record product descriptions
Run the agreed buyer prompts and note returned capability claims and sources.
[ 01 ]
Clarify public evidence
Improve current product facts, limitations and supporting references on approved pages.
[ 02 ]
Repeat and compare observations
Recheck the prompt set and document citation changes without claiming control over external answers.
[ 03 ]The people who do this work.
No account layer between you and them. These are the Norml specialists this work runs through.
Let's chat
“I've spent 10 years working across development and marketing. I started as a developer, but design, SEO and advertising were already part of the job. That taught me to treat a website as one system: the business, the content, the design and the code have to work together. At Norml, I lead the architecture behind our work and stay involved wherever strategy, design, development and search meet.”
Max TymoshynFounder & Architect
Get startedGenerative engine optimization for AI companies: questions.
Can you guarantee that an answer engine recommends us?
No. External systems control their outputs; we improve source clarity and document observed results.
Does this mean publishing private model details?
No. Only material approved for public release belongs in the source-improvement plan.
Discuss generative engine optimization and the requirements behind your AI product website.