No product description has been published for this domain yet. Everything below is measured directly.
General Assistantdanielpetho.comTracked since 2026-08-192 discovery sources
117Backlinks
82Referring domains
14Domain authority
-2.4%Referring domains · 90 days
Authority & distribution
How strong is Unbaited’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
117Current snapshot
Referring domains
82Current snapshot
Authority
14Domain authority · category median 22
90-day move
-2.4%Referring domains, last 90 days
At 14, Unbaited sits below 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.
Traffic makes more sense when you can connect it to the actual product promise.
“Unbaited”
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 → 2026-08-21Coverage 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.
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 the Unbaited browser extension do?
Unbaited is a browser extension that uses AI to filter your X (formerly Twitter) feed. It analyzes tweets in real-time to detect and blur content identified as engagement bait or inflammatory material designed to provoke emotional responses.
What problem does Unbaited solve for users?
Unbaited solves the problem of seeing unwanted engagement bait and inflammatory content on the X feed. It aims to give users more control and agency over their social media experience by filtering out posts designed to provoke emotional reactions or increase engagement through controversial topics.
In what situations would a person use Unbaited?
A person would use Unbaited while browsing their X (formerly Twitter) feed to create a less negative or manipulative content experience. It is used to automatically blur tweets that an AI model flags as engagement bait, allowing the user to reveal them optionally.
Who is the target audience for Unbaited?
Unbaited is designed for X (formerly Twitter) users who are tired of engagement bait and political or inflammatory content in their feeds and want more control over what they see.
What features or components does the Unbaited extension include?
Unbaited includes real-time analysis of tweets using a Large Language Model (LLM) of your choice via the Groq API. It features automatic blurring of identified engagement bait and a single-click option to reveal hidden tweets. Users also need their own Groq API key and can customize system prompts to adjust analysis.
How does Unbaited's category compare to others in terms of measured visibility?
In its category of General Assistant products, Unbaited is in a group where the median AI traffic visits measured over a recent period was 0.0. This indicates that most products in this category have little to no measurable traffic from AI assistant referrals.
What is the typical link authority for products in Unbaited's category?
Within the General Assistant product category, the median domain authority for products is 22. This provides a benchmark for the typical link profile strength of similar tools.
What is Unbaited?
Unbaited is a browser extension for X (formerly Twitter) that uses Large Language Models (LLMs) to filter out engagement bait and inflammatory content from your feed.
Behind the lock
Unlock full Unbaited intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send.
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