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How to Rank and Get Cited in Llama
Meta's Llama is the most widely deployed open model, powering countless assistants and agents. We track whether it names your brand, then do the work to get you there.
Live scan today via OpenRouter. Target keyword: Llama seo
Get named and cited in Llama
We do the work, not give you another dashboard. Here is what the engine does for your brand.
Tests your brand against the real prompts people ask Llama-powered assistants when they compare options in your category.
Shows which prompts already name you, where a competitor wins instead, and what Llama seems to know about you.
Turns each gap into finished, authoritative content across the open web. We research, write, and publish, you approve.
Re-scans on a schedule so you can watch your Llama visibility grow as new content lands.
From audit to Llama citations
Four steps. You stay the editor, the engine handles the rest.
Run the free AI visibility audit. We check your brand against Llama and the other major engines in minutes.
We map the prompts where competitors win and the sources that shape what Llama knows about your space.
Our engine writes clear, factual, widely-cited content that teaches models like Llama who you are.
We publish and keep watching Llama, so mentions grow month over month.
Questions, answered
Everything you need to know about how the engine does the work for you.
Base Llama answers from its training data, so its view of your category comes from the open web: authoritative articles, Wikipedia, GitHub, forums, and widely-cited pages. Ranking means being well-represented there. When Llama is wrapped with search or retrieval, classic ranking and clear answers matter too. We handle both.
On its own, Llama has no live web access and answers from memory without citations. When an app pairs it with retrieval or search, it can cite the pages it used, favoring clear, well-ranked content. Either way, being the trusted source in your space is the goal, which is the content we produce.
Build a strong, consistent open-web presence: authoritative articles, reputable mentions, and clear answers to your category's questions. That shapes what Llama recalls and what any retrieval layer pulls. We track competitor mentions, then write and publish the content that puts you in the answer.
Llama is the backbone of a huge share of AI apps and agents, often served through platforms like OpenRouter. If Llama does not know your brand, those products will not recommend you. We measure your presence and do the work to improve it.
Still have questions? Talk to us
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Your competitors are already cited by Llama
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