A clear scope
What GAIO means here
Generative AI Optimisation, or GAIO, is a provider term often used interchangeably with GEO. BrownBag defines it here as product and catalogue readiness for generative shopping. That is our service scope, not an industry-standard distinction or separate algorithm.
GAIO owns product-recommendation and catalogue readiness. GEO owns broader discovery research, merchant-feed services handle destination-specific data operations, and agentic readiness evaluates interactions. Programme access, payment integrations and live checkout are separately scoped.
The buyer problem
Where the work makes a difference
An answer may recommend the wrong variant, repeat an unsupported compatibility claim or show a stale offer. The missing work often sits in product attributes, merchant data or the page that explains which model suits a particular need.
Generative shopping questions combine needs, constraints and commercial details. This commerce-focused GAIO service organizes the catalog information behind those decisions: what a product does, who it suits, which variant is available, what it costs and what buying it involves. Prepare the data and supporting content, then check the surfaces the business is eligible to use.
The specific work
What we investigate and improve
- Map use cases, fit, compatibility, materials and objective product attributes from verified source data.
- Audit product identifiers, variants, price, stock, delivery and returns across supported data sources.
- Prepare feed mapping and validation for eligible platforms, including Google and OpenAI where access is available.
- Design comparison and suitability content that states limitations as clearly as benefits.
- Review sampled recommendation answers for product, variant, seller and offer accuracy.
BrownBag’s approach
From evidence to useful improvements
Map the buying criteria and facts
Identify the product questions that determine suitability, then trace attributes, variants and offer information to reliable sources. Compare the store and existing feeds, flag missing evidence and define the markets and product sets in scope.
Prepare data and useful comparisons
Create approved attribute mappings and comparison briefs that explain benefits and limitations accurately. Check current merchant access and destination requirements before preparing Google or OpenAI feed work. Assign refresh ownership for changing prices and availability.
Validate products and observations
Review representative records and destination feedback, then inspect a documented sample of recommendation scenarios. Report product and seller accuracy separately from mentions, placement or orders, with unresolved eligibility issues clearly identified.
Your handover
What you receive
- Catalog attribute and buying-criteria gap analysis.
- Product-feed mapping document, validation checks and refresh ownership.
- Comparison and product-suitability content briefs.
- Merchant-program eligibility assessment by market and account.
- Product-recommendation accuracy baseline and reporting plan.
Evidence, with context
How we measure progress
- Required and useful catalog attribute coverage
- Feed acceptance and validation-error rates
- Price/stock/variant accuracy in observed results
- Eligible shopping-surface engagement
- Orders from identifiable discovery sources, without treating every mention as a sale
Scope your next step
Bring us the problem you want to solve.
These details help us agree the deliverables, responsibilities and review points:
- Verified catalogue facts, identifiers, variants and offer data
- Target merchant destinations, markets and current account eligibility
- Product reviewers and the owner of feed refreshes
Start with a focused scope. We confirm access, implementation ownership and any platform eligibility before the work begins.
Your questions, answered
Is GAIO a separate algorithm from GEO?
No. Providers often use the terms interchangeably. This page defines a distinct commerce-focused service scope so buyers know exactly what they are purchasing.
Can any store submit a feed to every AI platform?
No. Availability, merchant eligibility, markets and integration methods differ and can change. Check current access before committing to implementation.
Does a product feed guarantee placement?
No. A valid feed supplies accurate information and may support eligibility; it does not guarantee a product recommendation, position or sale.
Is agent checkout included?
Only if explicitly scoped and technically available. Feed readiness and product discovery do not automatically include payment integration or in-assistant checkout.
Can you invent missing product attributes?
No. Missing material, compatibility or performance information must come from a reliable product source or verified testing.