Help customers find your product in search and AI answers.
Designli researches how your buyers describe the problems your product solves, then creates and improves pages that answer those questions. We track search visibility, visits, signups, and how often AI assistants mention your product so you can see where potential customers are finding you.
Book Your Impact WeekThe SEO and AI visibility playbook
GTM Engineer allocation
50-100%
Research, publishing, and updates need regular attention. Larger technical fixes or revisions across several pages take more of your engineer's time.
- We choose search topics that fit the people who could use your product.
- We create clear pages and check that search services can access them.
- Monthly checks show how AI assistants describe and cite your product.
Be there when someone looks for a solution.
A potential customer may describe a problem without knowing your product exists. They could search for a way to manage a task, compare software, or ask an AI assistant what to try. Your website needs to explain how your product helps in the language those people use.
During Impact Week, we research that demand and review the pages you already have. SEO and AI visibility fit your Designli go-to-market plan when we can identify relevant questions and give you time to build useful answers.
If your product solves a problem people haven't started searching for, we may recommend beginning with another channel. The decision comes from understanding your customers and how they currently look for help.
Give people a clear answer about your product.
We write pages that answer a specific customer question and explain where your product fits. That includes naming the product, describing what it does, and making the next step easy to find.
Your engineer also checks whether search engines and AI search services can access the relevant pages. Technical fixes support the content, and your reporting shows which pages are being found and cited.
AI answers can vary between services and between searches. We observe those answers over time and use what we learn to improve the information about your product. An appearance or citation is something we can check; future recommendations remain outside our control.
How we improve your search and AI visibility.
We combine customer research, useful pages, technical checks, and ongoing review. Your engineer prioritizes the changes most relevant to the people you want to reach.
1. Research your customers' questions.
We look at the words people use to describe the problem, compare options, and find software. Search demand and the likelihood of reaching a suitable customer help us choose which questions to address.
2. Write a clear answer.
Each page answers the question directly and explains how your product relates to it. We give readers enough detail to understand whether the product fits their needs.
3. Keep publishing useful pages.
We agree on a publishing schedule and prepare pages from the research. If you're still preparing to launch, relevant pages can direct interested readers to your waitlist.
4. Check access and site information.
Your engineer reviews the sitemap, crawler access, and structured information that describes your company and product. We identify technical barriers that could prevent services from reaching or understanding a page.
5. Improve pages you already have.
We review existing pages for outdated information and questions they could answer more clearly. Where pages overlap, we consider whether updating or combining them would make the site easier to use.
6. Check the same AI questions each month.
We repeat a set of relevant questions across AI assistants and record how often your product appears. Reports show how it's described, which pages are cited, and which service returned the answer.
Build a useful library of answers.
The early plan focuses on research, access, and publishing. Search and AI visibility can take longer to change, so we separate completed improvements from the results we're watching for.
Month 1: research and prepare.
We review customer questions, existing pages, and technical access. Your engineer prioritizes fixes and starts publishing or improving the first pages.
Months 2 and 3: publish and review.
We continue the publishing schedule and check which pages are appearing in search, receiving visits, or being cited. Early findings help us refine the topics and improve existing answers.
Month 4 onward: keep improving.
Your engineer uses the accumulated search and signup data to recommend new pages and updates. The monthly AI checks continue alongside the review of organic search performance.
See which pages help people find you.
We report on relevant search queries, page visibility, organic visits, and signups. The actual numbers sit alongside changes over time, so you can see both the size of the audience and the direction it's moving.
AI visibility gets its own review. We show which pages were cited by which services and how often your product appeared in repeated checks. We also look at how your product is described alongside relevant competitors.
These checks show what happened in the answers we tested. They won't reveal every answer a potential customer saw, and someone who never visits your site won't appear in its analytics. Your engineer explains those gaps when discussing progress and the next set of improvements.
Let's find the questions your customers are asking.
Tell us what your product does and who it's for. In a free 30-minute call, we'll discuss how search and AI visibility could fit your go-to-market plan and what we'd review first.