> For the complete documentation index, see [llms.txt](https://docs.coresignal.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.coresignal.com/company-data/bundles/company-intelligence.md).

# Company Intelligence Bundle

Reference for Company Intelligence bundle's data fields, including competitors, technology, engagement, news, hiring, and product signals.

Company Intelligence bundle completes the profile with external indicators. It includes competitors, technology, product reception, web engagement, current hiring activity, and product capabilities. See the categories and their data fields below.

* [Competitors](#competitors)
* [Tech stack](#tech-stack)
* [Product reviews](#product-reviews)
* [Web engagement quality](#web-engagement-quality)
* [Company updates and news](#company-updates-and-news)
* [Hiring activity](#hiring-activity)
* [Product surface flags](#product-surface-flags)

***

## Competitors

<table data-search="false"><thead><tr><th>Data field</th><th width="130.48828125">Data type</th><th>Description</th><th>Example</th></tr></thead><tbody><tr><td><code>competitors</code></td><td>Array (struct)</td><td>Competitors and their similarity scores</td><td><code>[{"company_name": "InsightHub", "similarity_score": 890234}, {"company_name": "DataNest", "similarity_score": 852302}]</code></td></tr><tr><td><code>competitors.company_name</code></td><td>String</td><td>Competitor's name</td><td><code>InsightHub</code></td></tr><tr><td><code>competitors.similarity_score</code></td><td>Integer (long)</td><td>Score indicating the similarity to the record company</td><td><code>890234</code></td></tr><tr><td><code>competitors_websites</code></td><td>Array (struct)</td><td>Details on the competitors' websites</td><td><code>[{"website": "https://www.insighthub.io", "similarity_score": 890234, "total_website_visits_monthly": 980000, "category": "Data Analytics", "rank_category": 12}, {"website": "https://www.datanest.com", "similarity_score": 852302, "total_website_visits_monthly": 760000, "category": "Business Intelligence", "rank_category": 17}]</code></td></tr><tr><td><code>competitors_websites.website</code></td><td>String</td><td>Competitor's website URL</td><td><code>https://www.insighthub.io</code></td></tr><tr><td><code>competitors_websites.similarity_score</code></td><td>Integer</td><td>Score indicating the similarity to the record company</td><td><code>890234</code></td></tr><tr><td><code>competitors_websites.total_website_visits_monthly</code></td><td>Integer (long)</td><td>Total number of monthly competitor's website visits</td><td><code>980000</code></td></tr><tr><td><code>competitors_websites.category</code></td><td>String</td><td>Competitor's website category</td><td><code>Data Analytics</code></td></tr><tr><td><code>competitors_websites.rank_category</code></td><td>Integer</td><td>Competitor's website rank within its category</td><td><code>12</code></td></tr></tbody></table>

## Tech stack

<table><thead><tr><th>Data field</th><th width="130.09765625">Data type</th><th>Description</th><th>Example</th></tr></thead><tbody><tr><td><code>num_technologies_used</code></td><td>Integer</td><td>Number of technologies used by the company</td><td><code>20</code></td></tr><tr><td><code>technologies_used</code></td><td>Array (struct)</td><td>List of technologies used by the company</td><td><code>[{"technology": "AWS", "first_verified_at": "2021-06-10", "last_verified_at": "2025-03-01"}, {"technology": "React", "first_verified_at": "2021-10-22", "last_verified_at": "2025-03-01"}]</code></td></tr><tr><td><code>technologies_used.technology</code></td><td>String</td><td>Technology name</td><td><code>AWS</code></td></tr><tr><td><code>technologies_used.first_verified_at</code></td><td>String</td><td>Date this technology was first assigned to the company</td><td><code>2021-06-10</code></td></tr><tr><td><code>technologies_used.last_verified_at</code></td><td>String</td><td>Date this technology was last assigned to the company</td><td><code>2026-09-01</code></td></tr></tbody></table>

## Product reviews

<table data-search="false"><thead><tr><th>Data field</th><th width="130.15234375">Data type</th><th>Description</th><th>Example</th></tr></thead><tbody><tr><td><code>product_reviews_count</code></td><td>Integer (long)</td><td>Total number of product reviews</td><td><code>124</code></td></tr><tr><td><code>product_reviews_aggregate_score</code></td><td>Float (double)</td><td>Average score of product reviews</td><td><code>4.3</code></td></tr><tr><td><code>product_reviews_score_distribution</code></td><td>Struct</td><td>Distribution of product review scores</td><td><code>{"score_1": 3, "score_2": 5, "score_3": 12, "score_4": 42, "score_5": 62}</code></td></tr><tr><td><code>product_reviews_score_distribution.score_1</code></td><td>Integer (long)</td><td>Number of 1-star reviews</td><td><code>3</code></td></tr><tr><td><code>product_reviews_score_distribution.score_2</code></td><td>Integer (long)</td><td>Number of 2-star reviews</td><td><code>5</code></td></tr><tr><td><code>product_reviews_score_distribution.score_3</code></td><td>Integer (long)</td><td>Number of 3-star reviews</td><td><code>12</code></td></tr><tr><td><code>product_reviews_score_distribution.score_4</code></td><td>Integer (long)</td><td>Number of 4-star reviews</td><td><code>42</code></td></tr><tr><td><code>product_reviews_score_distribution.score_5</code></td><td>Integer (long)</td><td>Number of 5-star reviews</td><td><code>62</code></td></tr><tr><td><code>product_pricing_summary</code></td><td>Array (struct)</td><td>Summary of product pricing plans</td><td><code>[{"type": "Per month", "price": "$29", "details": "Basic plan with limited features for small teams"}, {"type": "Per month", "price": "$99", "details": "Pro plan with all core features and integrations"}]</code></td></tr><tr><td><code>product_pricing_summary.type</code></td><td>String</td><td>Pricing plan type</td><td><code>Per month</code></td></tr><tr><td><code>product_pricing_summary.price</code></td><td>String</td><td>Plan price</td><td><code>$29</code></td></tr><tr><td><code>product_pricing_summary.details</code></td><td>String</td><td>Pricing plan details</td><td><code>Basic plan with limited features for small teams</code></td></tr></tbody></table>

## Web engagement quality

<table data-search="false"><thead><tr><th>Data field</th><th width="130.1171875">Data type</th><th>Description</th><th>Example</th></tr></thead><tbody><tr><td><code>total_website_visits_monthly</code></td><td>Integer (long)</td><td>Monthly website visits</td><td><code>1420000</code></td></tr><tr><td><code>rank_global</code></td><td>Integer</td><td>Global rank of the website</td><td><code>8231</code></td></tr><tr><td><code>rank_country</code></td><td>Integer</td><td>Country-specific rank of the website</td><td><code>318</code></td></tr><tr><td><code>rank_category</code></td><td>Integer</td><td>Category-specific rank of the website</td><td><code>27</code></td></tr><tr><td><code>visits_breakdown_by_country</code></td><td>Array (struct)</td><td>Breakdown of website visits by country</td><td><code>[{"country": "United States", "percentage": 58.7, "percentage_monthly_change": 2.1}, {"country": "United Kingdom", "percentage": 14.2, "percentage_monthly_change": -0.8}]</code></td></tr><tr><td><code>visits_breakdown_by_country.country</code></td><td>String</td><td>Visitor's country</td><td><code>United States</code></td></tr><tr><td><code>visits_breakdown_by_country.percentage</code></td><td>Float (double)</td><td>Percentage of visits from one country</td><td><code>58.7</code></td></tr><tr><td><code>visits_breakdown_by_country.percentage_monthly_change</code></td><td>Float (double)</td><td>Monthly change in percentage of visits from one country</td><td><code>2.1</code></td></tr><tr><td><code>visits_breakdown_by_gender</code></td><td>Struct</td><td>Breakdown of website visits by gender</td><td><code>{"male_percentage": 62.4, "female_percentage": 37.6}</code></td></tr><tr><td><code>visits_breakdown_by_gender.male_percentage</code></td><td>Float (double)</td><td>Percentage of visits by males</td><td><code>62.4</code></td></tr><tr><td><code>visits_breakdown_by_gender.female_percentage</code></td><td>Float (double)</td><td>Percentage of visits by females</td><td><code>37.6</code></td></tr><tr><td><code>visits_breakdown_by_age</code></td><td>Struct</td><td>Breakdown of website visits by age group</td><td><code>{"age_18_24_percentage": 10.2, "age_25_34_percentage": 33.1, "age_35_44_percentage": 29.5, "age_45_54_percentage": 17.3, "age_55_64_percentage": 7.0, "age_65_plus_percentage": 2.9}</code></td></tr><tr><td><code>visits_breakdown_by_age.age_18_24_percentage</code></td><td>Float (double)</td><td>Percentage of visits by users aged 18-24</td><td><code>10.2</code></td></tr><tr><td><code>visits_breakdown_by_age.age_25_34_percentage</code></td><td>Float (double)</td><td>Percentage of visits by users aged 25-34</td><td><code>33.1</code></td></tr><tr><td><code>visits_breakdown_by_age.age_35_44_percentage</code></td><td>Float (double)</td><td>Percentage of visits by users aged 35-44</td><td><code>29.5</code></td></tr><tr><td><code>visits_breakdown_by_age.age_45_54_percentage</code></td><td>Float (double)</td><td>Percentage of visits by users aged 45-54</td><td><code>17.3</code></td></tr><tr><td><code>visits_breakdown_by_age.age_55_64_percentage</code></td><td>Float (double)</td><td>Percentage of visits by users aged 55-64</td><td><code>7.0</code></td></tr><tr><td><code>visits_breakdown_by_age.age_65_plus_percentage</code></td><td>Float (double)</td><td>Percentage of visits by users aged 65 and above</td><td><code>2.9</code></td></tr><tr><td><code>bounce_rate</code></td><td>Float (double)</td><td>Percentage of visitors who leave the site after visiting one page</td><td><code>47.6</code></td></tr><tr><td><code>pages_per_visit</code></td><td>Float (double)</td><td>Average number of pages viewed per visit</td><td><code>3.8</code></td></tr><tr><td><code>average_visit_duration_seconds</code></td><td>Float (double)</td><td>Average duration of a visit in seconds</td><td><code>212.4</code></td></tr><tr><td><code>similarly_ranked_websites</code></td><td>Array (string)</td><td>List of websites with similar rankings</td><td><code>["datainsighttools.com", "marketintelhub.com", "biztrendsanalytics.io"]</code></td></tr><tr><td><code>top_topics</code></td><td>Array (string)</td><td>List of top topics associated with the website</td><td><code>["B2B data enrichment", "Sales intelligence", "Company profiling", "Market segmentation"]</code></td></tr></tbody></table>

## Company updates and news

<table data-search="false"><thead><tr><th>Data field</th><th width="130.23828125">Data type</th><th>Description</th><th>Example</th></tr></thead><tbody><tr><td><code>company_updates</code></td><td>Array (struct)</td><td>Information from posts published by the company</td><td><code>[{"followers": 10456, "date": "2025-03-30", "description": "We're excited to announce the launch of our new platform for small businesses!", "reactions_count": 243, "comments_count": 31, "reshared_post_author": "John Doe", "reshared_post_author_url": "https://www.professional-network.com/johndoe", "reshared_post_author_headline": "Tech Strategist at GrowthHub", "reshared_post_description": "Example Company is pushing boundaries again with a new tool for SMBs.", "reshared_post_date": "1mo", "reshared_post_followers": 82}]</code></td></tr><tr><td><code>company_updates.followers</code></td><td>Integer</td><td>Profile follower count</td><td><code>10456</code></td></tr><tr><td><code>company_updates.date</code></td><td>String</td><td>Publish date</td><td><code>2025-03-30</code></td></tr><tr><td><code>company_updates.description</code></td><td>String</td><td>Published text</td><td><code>We're excited to announce the launch of our new platform for small businesses!</code></td></tr><tr><td><code>company_updates.reactions_count</code></td><td>Integer</td><td>Number of reactions on the post</td><td><code>243</code></td></tr><tr><td><code>company_updates.comments_count</code></td><td>Integer</td><td>Number of comments on the post</td><td><code>31</code></td></tr><tr><td><code>company_updates.reshared_post_author</code></td><td>String</td><td>Reshared post author</td><td><code>John Doe</code></td></tr><tr><td><code>company_updates.reshared_post_author_url</code></td><td>String</td><td>Profile URL of the reshared post author</td><td><code>https://www.professional-network.com/johndoe</code></td></tr><tr><td><code>company_updates.reshared_post_author_headline</code></td><td>String</td><td>Headline of the reshared post author</td><td><code>Tech Strategist at GrowthHub</code></td></tr><tr><td><code>company_updates.reshared_post_description</code></td><td>String</td><td>Reshared post text</td><td><code>Example Company is pushing boundaries again with a new tool for SMBs.</code></td></tr><tr><td><code>company_updates.reshared_post_followers</code></td><td>Integer</td><td>The number of followers of the reshared post author</td><td><code>82</code></td></tr><tr><td><code>company_updates.reshared_post_date</code></td><td>String</td><td>Date the reshared post was published</td><td><code>1mo</code></td></tr><tr><td><code>num_news_articles</code></td><td>Integer</td><td>Number of news articles that mention the record company</td><td><code>1</code></td></tr><tr><td><code>news_articles</code></td><td>Array (struct)</td><td>Details about the news articles featuring company updates</td><td><code>[{"headline": "Example Company Launches AI-Powered Insights Dashboard", "published_date": "2026-09-05", "summary": "The new feature aims to help teams extract real-time intelligence from their data.", "article_url": "https://www.technews.example.com/example-company-launch"}]</code></td></tr><tr><td><code>news_articles.headline</code></td><td>String</td><td>News article headline</td><td><code>Example Company Launches AI-Powered Insights Dashboard</code></td></tr><tr><td><code>news_articles.published_date</code></td><td>String</td><td>Date the article was published in <code>YYYY-MM-DD</code> format</td><td><code>2026-09-05</code></td></tr><tr><td><code>news_articles.summary</code></td><td>String</td><td>News article summary</td><td><code>The new feature aims to help teams extract real-time intelligence from their data.</code></td></tr><tr><td><code>news_articles.article_url</code></td><td>String</td><td>Full news article URL</td><td><code>https://www.technews.example.com/example-company-launch</code></td></tr><tr><td><code>news_articles.source</code></td><td>String</td><td>Source of the news</td><td><code>News Source 1</code></td></tr></tbody></table>

## Hiring activity

<table><thead><tr><th>Data field</th><th width="130.11328125">Data type</th><th>Description</th><th>Example</th></tr></thead><tbody><tr><td><code>active_job_postings_count</code></td><td>Integer (long)</td><td>Number of active job postings associated with the company</td><td><code>2</code></td></tr><tr><td><code>active_job_postings</code></td><td>Array (struct)</td><td>List of the company's currently active job postings</td><td><code>[{"job_posting_id": 123456789123456, "job_posting_title": "Product Manager"}, {"job_posting_id": 123456789123457, "job_posting_title": "Senior Data Analyst"}]</code></td></tr><tr><td><code>active_job_postings.job_posting_id</code></td><td>Integer (long)</td><td>Professional network unique identifier of the job posting</td><td><code>123456789123456</code></td></tr><tr><td><code>active_job_postings.job_posting_title</code></td><td>String</td><td>Title of the job posting</td><td><code>Product Manager</code></td></tr></tbody></table>

## Product surface flags

<table data-search="false"><thead><tr><th>Data field</th><th width="129.8203125">Data type</th><th>Description</th><th>Example</th></tr></thead><tbody><tr><td><code>pricing_available</code></td><td>Integer</td><td>Marks if service pricing information is available online</td><td><code>1</code></td></tr><tr><td><code>free_trial_available</code></td><td>Integer</td><td>Marks if the company offers a free trial of their services</td><td><code>1</code></td></tr><tr><td><code>demo_available</code></td><td>Integer</td><td>Marks if the company offers a demo</td><td><code>1</code></td></tr><tr><td><code>is_downloadable</code></td><td>Integer</td><td>Marks if the company offers a downloadable file/service</td><td><code>1</code></td></tr><tr><td><code>mobile_apps_exist</code></td><td>Integer</td><td>Marks if the company has mobile apps</td><td><code>1</code></td></tr><tr><td><code>online_reviews_exist</code></td><td>Integer</td><td>Marks if the company has any online reviews</td><td><code>1</code></td></tr><tr><td><code>documentation_exist</code></td><td>Integer</td><td>Marks if the company has public API docs</td><td><code>1</code></td></tr></tbody></table>


---

# 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 following URL with the `ask` and `goal` query parameters:

```
GET https://docs.coresignal.com/company-data/bundles/company-intelligence.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `build a script that syncs our docs to a CMS` lets GitBook tailor the answer to that use case.

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.