Sima Brand: from invisible to a regular answer in AI search
From 17 to 122 monthly visits from AI assistants — 7× growth in seven months. Human referral traffic, February–September 2026.
Company
Sima Brand is a beauty and body-care brand inspired by Japanese bathing rituals. It sells exfoliating towels, face cloths and other daily-care essentials that help customers build a simpler cleansing routine. Explore Sima Brand.
For Sima Brand, being found meant more than showing up in a search result: people needed to discover its products and understand how they fit into a daily routine. The team lacked reliable measurement of what was working in AI search and what was not.
The challenge
The team could not confidently answer a simple question: what is working, what is not, and what should we do next?
- The first scan found no Sima Brand mentions in 15 tested questions, and February brought just 17 visits from AI assistants.
- The team needed to see which products and pages AI bots and agents were reading or ignoring.
- A single mention scan could not show how visibility, website activity and visits changed over time.
- The missing piece was a connection between intelligence, analytics and the SEO and AEO work itself.
What LightSite AI implemented
LightSite gave Sima Brand intelligence, analytics and execution — not another place to look at numbers.
An AI-ready website
LightSite put the technical foundation in place: an AI-ready version of the website, served automatically to bots. The setup happens in minutes, without turning it into a long website-rebuild project. See the AI-ready website layer.
Intelligence: understand where the opportunities are
AI-search intelligence brings together mentions across ChatGPT, Gemini, Perplexity and Claude with a view of where the brand is appearing and where it is missing. For Sima Brand, that meant a baseline to work from and a clearer basis for deciding what to tackle next. Explore AI-search intelligence.
Analytics: see what happens on the site
LightSite connected impressions from AI — how bots and agents consume the content — with visits from people arriving through AI assistants. The team could separate AI reading the site from people visiting it, understand which pages received attention, and follow on-site actions rather than looking only at mentions. Explore impressions from AI and on-site agent actions.
Execution: get the work done
LightSite also provided execution of SEO and AEO tasks, informed by that intelligence and measurement. This is the difference between finding a gap and doing something about it: the platform handles work such as content creation and outreach, with the team reviewing and approving the tasks. It does the work and owns the outcome, instead of leaving the marketing team with another list of recommendations. See how execution works.
For Sima Brand, the engagement connected understanding, measurement and action in one workflow. See how the three layers work together.
Case-study highlights
- Monthly visits from AI assistants
- 17 → 122
- February to September 2026 — 7× growth
- Sampled mentions
- 0 → 18
- From 0 of 15 tested questions in late February to 18 of 20 by mid-June
- Share of voice in category
- 90%
- At the mid-June scan; the most recent scan shows 30%
- Monthly impressions from AI
- 139 → 1,014
- February to the August peak — 7× more AI bot reads
From 17 to 122 monthly visits from AI assistants
When Sima Brand started in February 2026, AI assistants sent them 17 visits that month. By September, that number was 122 — a 7× increase in real people clicking through from AI answers to their site.
From invisible to a regular answer
In their first visibility scan in late February, Sima Brand was mentioned in 0 of 15 tested questions — effectively invisible. By mid-June, they were mentioned in 18 of 20 questions — a 90% mention rate, with a share of voice of 90% in their category.
Mention rates move around month to month (their most recent scan shows 30%), which is exactly why continuous tracking matters — but the trajectory from zero to category presence is clear.
Impressions from AI reached a monthly peak of 1,014
Monthly impressions from AI — how often AI bots come back to read the site — grew from 139 in February to a peak of 1,014 in August, a 7× increase. The team can see this content-reading activity alongside mentions and visits in the same workspace.
Why it worked
LightSite gave Sima Brand a connected way to work: understand where the brand stands, see what happens on the website, and execute the next SEO and AEO tasks. The team no longer had to rely on guesswork or stop at a report. Measurement became an input to the work, not the end of it.
LightSite brings together an AI-ready website in minutes, measurement of impressions from AI — how bots and agents consume your content — and full execution of SEO and AEO tasks. You review and approve execution; LightSite does the work, with receipts and re-measurement.
Explore how LightSite works, on-site agent journeys or the Liffner case study and more customer stories. Run the free GEO checker or start free.