Living Lab

We test on real businesses before selling the playbook.

Seenu Tech uses operator-led experiments across local F&B and SaaS assets to refine what actually helps AI systems discover, understand, and reference a business.

Take-out restaurant storefront sketch
Restaurant GEO Test
  • 24 prompts
  • GBP · Reviews · Menu
  • Catering visibility

Restaurant · Catering

Take-out Restaurant

Korean fried chicken catering, local recommendation queries, Google Business Profile, and party-order visibility.

Pilot in progress
Dessert store catering illustration
Dessert GEO Test
  • 18 prompts
  • Events · Reviews · Menu
  • Party orders

Dessert · Catering

Dessert Store

Dessert catering, event orders, party recommendations, and local AI search tests.

Pilot in progress
SaaS business product screen
SaaS GEO Test
  • 32 prompts
  • Product · FAQ · Use cases
  • B2B discovery

SaaS · Workforce Ops

SaaS Business

Multilingual workforce operations, NFC time tracking, and small business productivity questions.

Pilot in progress

Why this matters

AI visibility advice gets better when it is tested against real menus, service pages, profiles, reviews, support questions, and buying paths.

01

Real prompts

We test questions customers actually ask before they call, book, order, or compare.

02

Real business signals

We watch how websites, profiles, reviews, schema, and content influence answer readiness.

03

Real operating constraints

The playbook has to work for busy operators, not only for ideal marketing calendars.

Seenu Tech experiment

We are making our own visibility public.

The first Living Lab record is Seenu Tech itself: a Week 0 baseline, search checks, technical crawl signals, and a weekly measurement plan.

Week 0 baseline is now recorded.

The public report shows where Seenu Tech starts before ongoing GEO work, including what is already crawlable and what still needs stronger proof.

View Seenu Tech Living Lab