> For the complete documentation index, see [llms.txt](https://docs.tickertrends.io/tickertrends/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tickertrends.io/tickertrends/documentation-v2/2.-data-coverage-and-data-types/2.2-data-types/reddit-keyword-mentions.md).

# Reddit Keyword Mentions

#### Overview

Keyword Reddit Mentions tracks the number of times a specific keyword, brand, company, product, or topic is mentioned across Reddit discussions over time. This metric helps quantify conversation volume and consumer discussion trends by measuring how frequently a term appears across Reddit communities.

#### Historical Length

Historical coverage varies depending on the keyword or topic being tracked, with multi-month to multi-year history available for supported terms.

#### Granularity

Data is available at daily granularity, allowing users to monitor shifts in discussion volume, emerging narratives, and momentum changes in near real time.

#### Update Frequency

Updated daily as new Reddit discussion data becomes available.

#### Methodology

Keyword Reddit Mentions measures the estimated number of times a tracked keyword, brand, product, company, or topic is mentioned across Reddit posts and discussions over a given time period.

This metric captures conversation activity and consumer discourse rather than direct transactional behavior, making it useful for identifying shifts in public attention, product buzz, controversy, or emerging thematic trends.

Because Reddit often surfaces high-intent consumer discussion, product feedback, niche community sentiment, and early thematic interest, mention volume can serve as a valuable signal for tracking evolving narratives and consumer engagement.

#### Use Cases

* Tracking discussion volume around brands, products, or emerging themes
* Identifying spikes in consumer attention or controversy
* Comparing discussion share across competing brands or categories
* Monitoring product launches, earnings events, or viral moments
* Detecting early momentum in niche communities before broader awareness develops
* Measuring organic conversation growth over time

#### Example Visualization

<figure><img src="/files/RSvztOqw5AK3nCwJE76v" alt=""><figcaption></figcaption></figure>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.tickertrends.io/tickertrends/documentation-v2/2.-data-coverage-and-data-types/2.2-data-types/reddit-keyword-mentions.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.