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.
Make the store’s product information clearer in AI answer sources.
We observe selected shopping questions in answer systems and improve the approved public information available about the range. The work tracks descriptions and citations without promising recommendations or purchases.
A few clients we’ve worked with
What we do
Generative engine optimization for ecommerce businesses: answer baseline, public-source clarity, repeat observations.
What generative engine optimization needs to account for.
Answer systems may repeat obsolete product details.
A citation can still describe the wrong variant or availability state.
Product facts need to stay accurate after the initial content update.
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, public-source clarity and repeat observations as connected parts of the engagement.
Answer baseline
Record defined product and category prompts, returned answers and cited pages. Identify outdated or inaccurate statements.
Public-source clarity
Improve product attributes, availability context and useful buying information. Keep claims tied to verifiable sources.
Repeat observations
Recheck the prompt set and document source changes. Separate observed variation and unproven effects of website edits.
Selected website projects across our wider practice
All case studies
“What I appreciate most is that the team always communicates openly and stays honest throughout.”
“They delivered what they said they would, on time.”
“They met all our expectations by providing great strategies based on our needs.”
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 shopping answers
Run agreed product and category prompts and note citations, variants and availability claims.
[ 01 ]
Improve verified source pages
Clarify public attributes and buying guidance using approved catalogue information.
[ 02 ]
Repeat accuracy checks
Revisit the prompt set and document changes without promising inclusion or purchase outcomes.
[ 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 ecommerce businesses: questions.
Can you guarantee our products appear in AI shopping answers?
No. External systems control inclusion and presentation. We improve source material and report observed results.
Does this require publishing private customer reviews?
No. Only authorised public material is used, with appropriate permission for any customer contribution.
Discuss generative engine optimization and the requirements behind your store.