When shoppers ask AI assistants for product recommendations, your store is either cited or invisible. geo-flow shows how machine-readable your catalog, policies, and product evidence really are — so your team can improve visibility before competitors do.
Many stores look polished to humans but stay unclear to assistants, generative search engines, and recommendation systems. The gap is usually structure, factual density, and crawler-readable evidence.
Product schemas, brand fields, SKUs, GTIN coverage, and organization or policy data that AI systems can actually parse.
Concrete facts, attributes, measurements, materials, and visible specificity in your storefront copy.
Machine-readable trust signals such as SameAs links, structured shipping and return policy markers.
robots.txt rules, AI crawler access, page stability, and reliable crawl paths for evaluation.
Every free scan produces a shareable report URL your team can use to align leadership, SEO, content, and implementation around the same evidence.
View example reportSample the live storefront and collect evidence across key templates and content structures.
Evaluate performance against the four pillars of AI readiness.
Deliver a free shareable snapshot or a deeper Diagnose report depending on the depth you need.
Turn findings into a plan with clear priorities, team handoff, and Golden prompts.
Support selected fixes, pilot work, and delivery once your team is ready to execute.
Start with a free scan, then move into paid readiness plans when you need expert deliverables, planning, or hands-on execution support.
Run an instant storefront scan and get a shareable GEO snapshot with AI visibility score, pillar breakdown, and crawl-access signals.
Automated report plus expert deliverables for teams that need a real readiness baseline.
For teams that need sequencing, stakeholder alignment, and Golden prompts beyond the baseline report.
For brands ready to fix templates, structured data, content gaps, and AI crawler readiness with expert help.
geo-flow is operated by Unilime — a group combining software development, design, and implementation expertise. That means the diagnostic can connect to real delivery, not just another audit document.
Unilime combines software development, design, and implementation so geo-flow insights can move beyond reporting into real fixes.
The framework is designed around storefronts, product evidence, schema gaps, and the operational work needed to improve AI visibility.
Teams can start with a free scan, move into paid readiness plans, and work with Unilime when fixes need hands-on delivery.
Get a clear readiness signal, business-risk framing, and a decision-ready explanation of what should happen next.
Go beyond classic keywords with schema alignment, entity consistency, crawl rules, llms.txt guidance, and AI visibility priorities.
See where product detail, factual density, and merchandising copy are too weak for AI systems to trust.
Know what needs to change in templates, structured data, policies, and content operations, with optional support from Unilime.
A fixed-scope engagement for brands that need hands-on citation lift, prioritized fixes, and a dedicated path from insight to execution — separate from the self-serve Diagnose, Strategize, and Implement flow.
Tell us about your storefront and we will help you choose between a free scan or a paid readiness plan.
