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Market/Categories/General Assistant/Private LLM

Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

Private LLMprivatellm.app

No product description has been published for this domain yet. Everything below is measured directly.

General Assistantprivatellm.appTracked since 2026-08-191 discovery source
3.8KBacklinks
369Referring domains
30Domain authority
-0.8%Referring domains · 90 days

Authority & distribution

How strong is Private LLM’s web footprint?

Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.

Backlinks

3.8KCurrent snapshot

Referring domains

369Current snapshot

Authority

30Domain authority · category median 22

90-day move

-0.8%Referring domains, last 90 days
At 30, Private LLM sits above the 22 median for its category.

Trajectory · Pro

The counts above are the latest of 370 daily observations. The curve through them is on the full profile.

See the trajectoryOpen the full profile

Traffic & engagement

Where Private LLM ranks

Measured · Pro

Measured for this product: global rank, country rank and category rank.

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AI referral visibility

Which AI assistants are already sending Private LLM traffic?

Measured · Pro

Measured for this product: AI referral traffic, which assistants refer it and which pages those referrals land on.

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Product profile

What Private LLM is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“Private LLM”

No usable description reached this profile from any discovery source, so none is shown. The measured signals below are unaffected.

General AssistantSeen 2026-08-19 → 2026-08-19Coverage tier C

What we have measured

4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.

Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.

Canonical website: https://privatellm.app/en?ref=futuretools.io

Observed across 1 discovery source.

Research questions

What the evidence answers about Private LLM.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What does Private LLM do, and what problem does it solve?

Private LLM is a mobile application that runs large language models locally and privately on Apple devices. It solves the problem of data privacy by ensuring conversations never leave the device, requiring no cloud connection, account, or tracking after the initial model download.

Who is the target audience for Private LLM?

Private LLM is for Apple users who want to run AI models locally on their iPhone, iPad, or Mac for private, offline conversations. It is built for individuals who prioritize data privacy and control, as it is created by two bootstrapped engineers rather than a VC-funded company.

What features does Private LLM offer, and what devices does it support?

Private LLM offers access to over 140 local AI models, including DeepSeek R1, Llama 3.3, and Qwen3, with optimized quantization for better output quality. Key features include integration with Siri and Apple Shortcuts, macOS system-wide AI writing tools, and Family Sharing for up to six people under a single purchase.

How is Private LLM priced or packaged?

Private LLM uses a one-time purchase model with no subscription. The single purchase unlocks the app across all the user's Apple devices (iPhone, iPad, Mac) and includes Family Sharing for up to six people.

Which specific AI models can be run locally with Private LLM?

Private LLM can run leading open-source models locally, specifically mentioning DeepSeek R1 Distill, Llama 3.3 70B, Qwen3 4B, Phi 4, and Google Gemma 3. The app offers over 140 models in total.

What are the core privacy and data security features of Private LLM?

Private LLM operates with 'No Cloud, No Tracking, No Logins.' All conversations are processed entirely on-device, ensuring data never leaves the user's control. The product was built with a commitment to keeping data on-device permanently.

What is Private LLM used for, and in what situations?

Private LLM is used for private, uncensored AI chat and conversational assistance across personal and work tasks. It is suitable for situations requiring offline functionality, strict data privacy, or integration into automated workflows via Siri and Apple Shortcuts without needing to write code.

Behind the lock

Unlock full Private LLM intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send, which 2 of them do it, and the 2 pages they land on.
  • Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
  • The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.

Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured