Clarity outside.
Capability inside.
ORAILI is an independent AI consultancy for entrepreneurs and SMEs. We help you understand how AI describes your brand and products, choose useful workflows and equip your team to use them.
Two questions.
One practical approach.
What does AI say about our business? Where can it support our team’s work?
Customers use AI answers to explore companies and products. Inside the business, teams need to decide which tasks AI can usefully support. We help leaders assess both: the information AI draws on and the work people can delegate to it.
- Customer
- Entrepreneurs and SMEs. Agentic Shelf focuses the approach on fashion and luxury product brands.
- Decision makers
- CEOs and leaders in marketing, e-commerce, operations, IT and team development.
- Starting point
- One business question, available inputs and an accountable internal owner.
- Delivery model
- Scoped consulting engagements with agreed deliverables, responsibilities and review criteria.
Four services.
Defined outputs.
| AI Visibility IntelligenceBrand representation | A documented baseline and prioritised website and content briefs. Your team creates and publishes the content. |
|---|---|
| AI Product VisibilityProduct information | Documented findings and a prioritised correction brief for product pages and catalogue data. Your e-commerce team implements the approved corrections. |
| AI Strategy & IntegrationWorkflow planning | A workflow plan and a 30/60/90-day roadmap. Prototypes, development and integration are included only when agreed in scope. |
|---|---|
| Agentic Execution LabGuided team practice | Guided practice on a real task, with the agreed workflow or prototype, working files, agent instructions, checklist and playbook. An internal owner keeps control. Ongoing maintenance is agreed separately. |
Industry experience.
Practical AI expertise.
A team of specialists in e-commerce, digital marketing, business analysis and applied AI.
We work from your products, processes and commercial priorities. Industry knowledge, business analysis and technical expertise inform the work, with clear responsibilities for delivery.
- E-commerce
- Catalogue quality, product discovery and the information behind a buying decision.
- Digital marketing
- Brand positioning, content strategy and customer journeys aligned with commercial goals.
- Business analysis
- Business requirements, process design and clear responsibilities for delivery.
- Applied AI
- AI workflows, agent instructions and quality checks your team can use.
Agentic Shelf.
A decision pilot.
For fashion and luxury leaders evaluating product information and AI recommendations.
AI Product Visibility identifies gaps in product information. Agentic Shelf combines that diagnosis with a management decision for fashion and luxury: whether a controlled change is worth testing or further investment. The Decision Pilot covers one brand, one category and one market. We examine AI recommendations against customer requirements and verified product facts, then recommend a limited experiment when justified or an early stop.
- D.E.A.L.
- Demand → Eligibility → Action → Learning. Agree on the customer scenario, assess the gaps, define one controlled experiment and repeat the observations.
- Product Fit
- Does the product meet the customer’s requirements? A product mismatch may justify stopping the work rather than funding more content.
- Product Proof
- Do current, approved sources substantiate the relevant qualities? Review product records, pages and feeds for missing or inconsistent facts.
- Product Reach
- Can the AI engines being assessed find and interpret the evidence? Review information access and relevant third-party sources.
What the pilot delivers
- Demand Scenario
- An agreed, versioned customer scenario: needs, use cases, requirements, exclusions and test questions. Modelled scenarios are not evidence of actual customer behaviour.
- Diagnosis
- Documented observations and verified product facts, with an assessment of likely gaps in fit, proof or reach. Assumptions and limits remain explicit.
- Action Record
- One limited, reversible experiment with a named owner, baseline, review metrics and rollback plan. The client’s appointed team approves and implements the change.
- Decision Record
- Repeated, dated observations compared with the baseline, their limits and a recommendation for management review.
- S.E.E.
- Stop when the product does not fit or the issue cannot be addressed within scope. Evolve the evidence or experiment before retesting. Expand when the reviewed evidence supports a wider test.
Management owns the decision. The pilot does not guarantee AI recommendations or increased sales.
Cited by AI.
Understood by you.
seenelseby ORAILI
PRIVATE MVP · ANALYST-LEDA private AI visibility workspace for consultants, agencies and marketing analysts.
Developed alongside ORAILI’s consulting work, SEENELSE brings the customer’s question, captured answer, returned sources and analyst-approved next steps into one workspace. Client advice can be traced to its evidence.
Brand and Product. Separate evidence.
Brand analysis examines mentions, website citations, tracked competitors and recommendation wording. Product analysis examines selected pages, product claims and where returned shopping links lead.
Each observation preserves the question, market, selected AI services, date, original answer and returned sources.
AI helps prepare questions, interpret answers and draft next steps. Analysts inspect the evidence and explicitly approve actions. Final reports include only approved recommendations linked to their original evidence.
GEO, AEO & comparison over time
Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) concern how brands and information appear in generated answers and answer-led search experiences.
Compare dated observations when the question and observation scope remain unchanged: the observed brand and website, market and selected AI services. Product comparisons also retain the original question purpose and saved product-page snapshots.
Missing answers, an AI Overview that was not shown and collection failures remain separate states. A missing answer is not a finding about the brand.
Product analysis & commerce
Discovery examines a buyer’s need. Comparison reviews alternatives. Verification compares captured claims with saved product-page evidence and flags possible discrepancies for analyst review.
Exact product links, confirmed variant links and possible title matches remain distinct. Analysts can inspect product-page citations, returned shopping links and seller destinations separately.
What AI says.
What the evidence shows.
What you do next.
A private MVP for one analyst managing multiple client profiles. Broader access and a standalone commercial model remain development decisions.