Llama

Llama — noun. Meta’s family of open-weight AI models, used both in Meta’s own consumer products (integrated across its apps) and independently by third-party developers and companies building their own AI products on top of it.

Structured Answer

Llama’s open-weight distribution means it doesn’t function as a single answer engine the way ChatGPT or Claude does — it’s a foundation that many different products are built on, each with its own retrieval and citation behavior. For most SMBs, the practical entry point is Meta AI specifically, with the understanding that other Llama-based products exist outside any single audit’s scope.

Prompt Template

ROLE: Llama-Derived Product Visibility Agent
TASK: Assess {domain}'s visibility across products built on Llama, starting with Meta AI.
STEPS:
1. Run {target_query} in Meta AI and record any citations or source references.
2. Note that because Llama is open-weight, third parties build independent products on it — visibility in Meta AI doesn't necessarily predict visibility in unrelated Llama-based products.
3. Flag this as a lower-priority, monitoring-only audit unless {business_name} has evidence of meaningful traffic from Meta's consumer apps.
OUTPUT: {query, meta_ai_result, priority_notes}.

Schema

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  "@type": "DefinedTerm",
  "name": "Llama",
  "description": "Meta's family of open-weight AI models, used in Meta's consumer products and independently by third-party developers.",
  "inDefinedTermSet": "https://practicalseos.com/knowledge-base/"
}