DFY Hub

Content Analysis

6 tools

Content search, sentiment analysis, phrase mention trends, rating distributions, and category publishing trends.

Content Analysis Search
5 credits per call

Search and analyze web content across millions of pages for any topic.

Searches and analyzes web content across a large index of pages for a given keyword or topic. Returns content pieces with sentiment scores, social shares, word count, domain rank, and publication dates. A content research powerhouse for finding what's been published on any topic.

Use cases

  • •Research what content has been published on a topic before creating your own
  • •Find high-performing content pieces to use as inspiration or outreach targets
  • •Analyze content publication patterns and frequency in your niche
  • •Discover content gaps — topics with few quality articles
  • •Identify authoritative publications covering your industry

Data returned

urltitledate_publishedcontent_typesentimentword_countdomain_ranksocial_metricslanguage

Example prompts

“What content has been published about "AI in customer service" in the past 6 months?”

“Find high-authority articles about "sustainable fashion"”

“Search for content about "SaaS pricing strategies" sorted by social shares”

Tips

  • Filter by date to focus on recent content — evergreen topics may need different search parameters than trending topics
  • Use sentiment data alongside content_analysis_sentiment for deeper analysis
Content Analysis Summary
5 credits per call

Get aggregated content analytics: volume, sentiment, and domain distribution for any topic.

Returns aggregated content analytics for a topic including total content count, average sentiment, top publishing domains, content type distribution, publication frequency, and word count averages. The high-level overview of content landscape for any subject.

Use cases

  • •Size up the content landscape before entering a topic
  • •Understand the average content length and quality bar for a subject
  • •Identify the most prolific publishers in your niche
  • •Gauge overall sentiment around a brand, product, or topic

Data returned

total_countavg_sentimenttop_domainscontent_type_distributionavg_word_countpublication_frequencysentiment_distribution

Example prompts

“Give me a content landscape summary for "remote work tools"”

“How much content exists about "electric vehicles" and what's the sentiment?”

“What's the average content length for articles about "project management"?”

Tips

  • Use avg_word_count to benchmark your content length against industry norms
  • Check top_domains to identify publications you should try to get featured in
Content Sentiment Analysis
3 credits per call

Analyze the overall sentiment of web content about any topic or brand.

Performs sentiment analysis on web content related to a keyword or topic, returning positive, negative, and neutral sentiment scores with examples. Shows how the internet perceives a topic, brand, or product through published content.

Use cases

  • •Monitor brand reputation through content sentiment
  • •Analyze public perception of competitors
  • •Track sentiment shifts around industry trends or events
  • •Evaluate how product launches or PR campaigns affected sentiment

Data returned

sentiment_scorepositive_countnegative_countneutral_countsentiment_distributiontop_positive_contenttop_negative_content

Example prompts

“What's the content sentiment around our brand name "Acme Corp"?”

“Analyze the sentiment of content about "cryptocurrency regulation"”

“Is the online sentiment about "remote work" mostly positive or negative?”

Tips

  • Track sentiment over time by running periodic analyses — sentiment trends matter more than snapshots
  • Compare your brand sentiment against competitors for reputation benchmarking
Phrase Mention Trends
3 credits per call

Track how often a phrase or brand is mentioned in web content over time.

Returns time-series data showing how frequently a phrase, brand, or keyword is mentioned in web content over time. Reveals content publishing trends, brand mention velocity, and topic momentum. Useful for tracking brand awareness and content trends.

Use cases

  • •Track brand mention frequency over time for PR measurement
  • •Monitor how often competitors are mentioned in content
  • •Identify trending topics by tracking phrase mention velocity
  • •Measure the impact of PR campaigns on mention frequency

Data returned

datemention_countsentiment_avgtop_domainstrend_direction

Example prompts

“How often is "Acme Corp" mentioned in online content over the past year?”

“Track mentions of "AI chatbot" in web content over the past 6 months”

“Compare mention frequency for our brand vs top competitors”

Tips

  • Run on your brand name, competitor names, and key industry terms to build a comprehensive mention dashboard
  • Correlate mention spikes with specific events (product launches, press releases) to measure PR effectiveness
Content Rating Distribution
3 credits per call

Analyze the distribution of ratings and reviews found in web content.

Returns the distribution of ratings found across web content for a topic — how many pages have 1-star, 2-star, through 5-star ratings in their structured data. Useful for understanding the review landscape for products, services, or local businesses.

Use cases

  • •Analyze the online rating landscape for your product category
  • •Understand the typical rating distribution in your industry
  • •Benchmark your ratings against the overall market distribution
  • •Identify rating inflation patterns in specific content categories

Data returned

ratingcountpercentageavg_ratingtotal_rated_content

Example prompts

“What does the rating distribution look like for "CRM software" reviews online?”

“Show me the breakdown of star ratings for "restaurant" content”

“What's the average rating for "project management tool" reviews across the web?”

Tips

  • Compare your product's ratings against the overall distribution to understand if you're above or below market average
  • Use alongside business_data_google_reviews for platform-specific review analysis
Category Content Trends
3 credits per call

Track content publishing trends by category or topic area over time.

Returns content publishing volume trends by category, showing how much content is being produced in different topic areas over time. Reveals which categories are seeing increased content investment and which are declining.

Use cases

  • •Identify content categories seeing the most investment from publishers
  • •Find underserved categories where content supply is low relative to demand
  • •Track how content production in your niche is evolving
  • •Plan content strategy around categories with growing publisher interest

Data returned

categorydatecontent_counttrendtop_domainsavg_word_count

Example prompts

“What content categories are seeing the most publishing growth right now?”

“Is content production about "AI" increasing or plateauing?”

“Show me category-level content trends for the technology sector”

Tips

  • Focus on categories with growing demand (via keywords_google_trends) but declining content production — these are content opportunity zones
  • Compare content trends with search volume trends to find supply-demand mismatches

Workflow guides using content analysis tools

Brand Monitoring and Reputation Analysis

Track brand mentions, sentiment, reviews, and reputation across Google, Yelp, TripAdvisor, and Trustpilot. Understand how your brand is perceived online and identify reputation threats or PR opportunities.

20-29 creditsintermediate

Start using content analysis tools

Create a free account, connect your AI assistant, and query these tools in natural language.

Get Started Free