Llama Visibility Tracker | Rankshift
Track your brand in Llama

Llama Visibility Tracker:
is your brand in the answer?

Rankshift runs your prompts in Llama, the model family from Meta, on a schedule and reports how often your brand is named, where it sits in the answer, how it is described and which competitors appear next to you.

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What you see

What Rankshift tracks in Llama

Llama is the family of models that Meta releases with open weights. Meta AI, the assistant in WhatsApp, Instagram and Facebook, was built on it until Meta introduced Muse Spark in April 2026. Rankshift records the answer, the brands in it and any sources it links for every prompt you track, each time it runs.

  • Visibility

    The share of Llama answers that name your brand, per prompt and overall.

  • Position

    Where you appear among the brands in the answer: first, second or last.

  • Share of voice

    Your mentions as a share of all brand mentions, next to your competitors.

  • Citations

    The domains and URLs Llama cites, and how often your own site is one of them.

  • Sentiment

    Whether Llama describes you in positive, neutral or negative terms.

  • Countries and languages

    Each prompt tracked in the countries and languages you sell in.

Prompts

How often Llama names you, prompt by prompt

Add the questions your buyers ask. Rankshift runs each one in Llama, stores the full answer and marks your brand and your competitors in it. You see where you are named and where you are missing.

  • Full answer stored for every run
  • Visibility per prompt and for the whole project
  • Filter by persona, scenario or tag
Tracking over time

One answer is not a measurement

Ask Llama the same question twice and the brands can change, because it writes a new answer each time. Rankshift repeats every prompt on the schedule you set and reports visibility as a share of all runs, so one lucky or unlucky answer does not decide your number.

  • Daily or weekly runs, set per prompt
  • History per brand, prompt and model
  • Unlimited countries and languages
Competitors

Which competitors Llama names next to you

Add your competitors and Rankshift counts them in the same answers. You get visibility and share of voice per brand, plus the position of each brand in the answer, so you know who Llama puts first.

  • Visibility, share of voice and sentiment per brand
  • Position of each brand in the answer
  • Compared on every prompt you track
Citations

Which sources Llama cites

When a Llama answer links sources, Rankshift lists every cited domain and URL on your prompts and shows how often your own site is among them. Mentions and citations are counted separately, because a model can cite your page without naming your brand, and name your brand without citing you.

  • Cited domains and URLs, ranked by frequency
  • Your own citation rate next to competitors
  • Review sites and articles where you are missing
Across models

Llama next to ChatGPT, Gemini and AI Mode

Your buyers do not all use the same assistant, and the brands each one names can differ. Rankshift runs the same prompts on Llama, ChatGPT, Gemini, Google AI Mode, AI Overviews, Claude and others, so you can see where your brand is strong and where it falls behind.

  • Visibility and citation rate per model
  • The same prompt set on every model you select
  • Nine AI models, including ChatGPT and Gemini
Action Center

Actions based on what Llama says and cites

Tracking shows where you stand. The Action Center turns what Rankshift finds in the answers into tasks: a page to update, a publication to pitch, a comparison article to get listed in. Each task is tied to the prompts and sources behind it and lands on a board your team can work through.

  • Prioritized by expected impact on your visibility
  • Based on the answers and sources from your prompts
  • One board for outreach, page updates and community replies
How it works

From prompt to Llama report

  1. Add brand and prompts

    Step 1

    Enter your brand, your competitors and the questions your buyers ask. Rankshift suggests prompts to start from.

  2. We run them in Llama

    Step 2

    Each prompt runs in Llama on the schedule you choose, in the countries and languages you add.

  3. Act on the results

    Step 3

    See visibility, position, share of voice and sources per prompt, then work through the tasks in the Action Center.

Related

More AI search data in the same project

Llama is one place where AI answers questions about your brand. These reports sit in the same Rankshift project.

See all AI models Rankshift tracks
FAQ

Questions about Llama visibility tracking

What is a Llama visibility tracker?

A Llama visibility tracker runs a fixed set of prompts in Llama on a schedule and records the answers. From those answers it reports how often your brand is named, where it sits in the answer, how it is described and how you compare with competitors.

How does Rankshift collect Llama answers?

Rankshift runs your prompts in Llama and stores the full answer with any sources it links. From each answer it records mentions, citations, sentiment and share of voice, for your brand and your competitors. You choose how often each prompt runs, daily or weekly.

Why does Llama give different answers to the same question?

Llama writes each answer from scratch, so the wording and the brands it names can change from one run to the next. That is why Rankshift reports visibility as a share of all runs. One check tells you very little.

Is Llama the same as Meta AI?

Not quite. Llama is the family of models that Meta releases with open weights, so other companies can run it in their own products. Meta AI is Meta's assistant in WhatsApp, Instagram and Facebook. It was built on Llama until Meta introduced a new model, Muse Spark, in April 2026. In Rankshift the model is listed as Meta AI.

What is the difference between a mention and a citation?

A mention is your brand name in the answer text. A citation is a link to a page that the model used as a source. You can have one without the other, so Rankshift tracks them separately.

Which other AI models can I track?

ChatGPT, Gemini, Perplexity, Claude, Microsoft Copilot, Google AI Mode, Google AI Overviews and Mistral. The same prompts can run on each model, so you can compare your visibility in Llama with the rest.

How do I improve my visibility in Llama?

Start with the answers. See which prompts name your competitors and leave you out, and which review sites and articles come back when an answer links sources. Then update your own pages so they answer the prompt directly, and get listed on the pages that keep coming back. The Action Center turns these findings into specific tasks, ranked by expected impact.

See if Llama names your brand

Add your brand, your competitors and your first prompts. The 30-day trial needs no credit card.

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