X Mentions Timeline
Track how often a brand or keyword is mentioned on X (Twitter) over 30 days, as an ASCII bar chart plus 3 explained spike events.
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How to Use X Mentions Timeline
- Enter keyword, @handle or topic in the main input field. Be as specific as possible for better results.
- Configure your preferences: Timeframe, Detail Level.
- Click 'Generate' and wait a few seconds for the AI to process your request.
- Review the generated output. Use 'Regenerate' for a different variation or 'Copy' to use the result.
- Refine your input or adjust settings and regenerate until you're satisfied with the result.
Use Cases
Visualising whether buzz around your brand is trending up or down over the past month.
Reconstructing which event or post drove a sudden surge in mentions.
Showing a client or team a clean before/after picture of a campaign's mention volume.
Comparing the size of two launches by the height of their mention spikes.
Catching that a competitor's keyword spiked on a specific day and investigating the cause.
Tips for Best Results
- Be specific in your input — detailed descriptions produce better results.
- Try generating multiple times with different settings for varied outputs.
- Review and customize the AI output before using it in production.
- Start with a clear brief including target audience and key message.
Frequently Asked Questions
What does X Mentions Timeline produce?
An ASCII bar chart of daily (or near-daily) mention volume across the last 30 days, plus a breakdown of the 3 biggest spike events — what likely caused each and a sample post URL so you can see the source.
How do I use it?
Enter a brand name, product, or keyword. The tool searches X over the trailing 30 days, counts mention volume over time, and renders the trend with its key spikes.
How is this different from X Mention Tracker?
Mention Tracker answers 'what are people saying right now' with a sentiment split and example posts. This tool answers 'when did chatter spike and why' with a 30-day volume chart and explained spike events. They pair well together.
Are the mention counts exact?
Treat them as a relative trend, not an audited total. The chart is reliable for seeing the shape of attention — when it climbed, when it spiked — but the absolute counts are estimates from live search.
Why does it pick exactly 3 spike events?
Three keeps the analysis focused on the moments that actually moved the needle — a launch, a viral post, a piece of news — rather than burying you in minor day-to-day noise.
Can it explain what caused a spike?
It infers the likely driver from the posts around that date and gives you a sample post URL, so you can confirm whether it was a launch, a controversy, a press hit, or a viral tweet.
Does the 30-day window update if I run it again later?
Yes — it always looks at the trailing 30 days from when you run it, so re-running it next week shifts the window forward and captures newer activity.
What does it cost?
AICT is free with 5 runs per day and no signup. Pro is $19/month for unlimited timelines.
We don't store your text. Processing happens in real-time and your input is discarded immediately after generating the result.
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Free users: 5 uses per day | Pro users: Unlimited
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