Electronics that win the comparison.
Nobody buys headphones on impulse. They compare specs, read reviews and ask AI which one is best. We make sure you are in that answer from launch day.
Sound familiar?
Where we usually find the leaks.
- 01
Specs nobody can parse
Spec tables locked in images or tabs cannot be read or compared by search engines.
- 02
Launch pages that arrive late
Demand peaks around announcements. If the pages are not ready, reviewers and retailers take the traffic.
- 03
Support content that never sells
Setup and compatibility questions are often buying questions in disguise.
What your buyers really ask.
Clear use-case copy, with specs as text rather than images.
Product data and comparison pages built to be quoted.
What we would do.
The work that moves the needle for audio and electronics brands.
Searches, copy and pages planned before the announcement, so you catch the demand you created.
Structured specs, pricing and availability, so they stay accurate wherever people compare.
Guides and social built to give reviewers and buyers something worth citing.
Work like this.
Real clients, and what changed for them.
See all work
Well-known consumer products sites averaged 78 out of 100, and AI models named the brand in 57% of answers to its buyers' questions.
See the full resultsGood questions.
How early do you need to know about a launch?
The earlier the better. We need time to plan searches, copy and launch pages before the announcement.
What if reviewers already dominate our product names?
You cannot outrank every review, but you can own the answers on specs, compatibility and setup, and make sure reviewers have accurate facts.
Do structured specs really matter for AI assistants?
They help assistants state your product correctly. An assistant can only repeat facts it can find and read.
See how youscore.
Add your site or store and see how Google and 3 AI models read it.