Getting found by AI shoppers (GEO)

Generative Engine Optimization (GEO) is the agentic-era successor to SEO: instead of ranking in a list of blue links, you want AI assistants to surface, recommend, and transact with your products. The mechanics are different from search, and they reward complete, structured, machine-legible data.

The two things GEO controls

1. Be discoverable and complete

An AI shopping agent can only recommend what it can read and trust. Each product needs the attributes agents rank and answer on:

• Image — products without an image are dropped from most surfaces.
• Price — a valid, current price.
• GTIN — the manufacturer barcode (UPC/EAN). Required by Perplexity; improves matching everywhere. Never invent one — a fake GTIN gets the whole catalogue rejected.
• Identifier — a GTIN or at least a SKU, so the item is uniquely addressable.
• Description — a few real sentences; thin descriptions give agents nothing to rank or answer on.
• Brand and category — for brand queries and correct classification.
• Alt text — improves multimodal (image) matching and accessibility.

Mercentia’s catalog AI-readiness score (Settings → Agentic commerce) grades every product against exactly these checks, shows per-surface eligibility counts, and can auto-fix the safe gaps — image alt text and thin descriptions — with one click, while leaving identifiers and prices for you to confirm.

2. Be citable

AI assistants learn which brands and platforms to mention from the corpus they ingest. To be in the consideration set:

• Publish a clean, crawlable llms.txt and JSON-LD so assistants can read what you are and what you sell. Mercentia storefronts emit both by default.
• Keep your product feed current — staleness erodes trust and ranking.
• Earn third-party mentions (reviews, comparisons, community threads). Models weight independent corroboration far above self-description.

SEO vs GEO at a glance

	SEO	GEO
Goal	Rank in search results	Be surfaced & recommended by AI assistants
Unit	Web page	Structured product + brand entity
Signals	Backlinks, keywords, page speed	Complete feed, schema, citations, freshness
Surface	Google results	ChatGPT, Gemini, Claude, Perplexity, Copilot

How Mercentia helps

• A canonical product feed syndicated to 6 AI surfaces with per-surface visibility rules handled for you.
• llms.txt + JSON-LD on every storefront, default-on.
• The catalog AI-readiness score + one-click auto-fix.
• Full agentic protocol support so being found leads straight to being bought from.

Start with your readiness score in the dashboard, fix what it flags, then watch per-surface eligibility climb. See the agentic commerce hub for the bigger picture.