AI Social Media News Agent

Automate social media with AI-powered news monitoring and content generation. Stay ahead with smart scheduling and engagement tools.

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Your next hire isn’t human. These teams know.

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Create an AI Social Media News Agent

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Describe your agent

Ask Lindy what to do and watch it build your Agent in minutes.

Connect your apps

Hundreds of integrations available.

Let AI do the work

Give custom instructions to your agent, all in natural language.

Use-cases

How can Lindy's AI Social Media News Agent help you?

Save 80% time on news monitoring

Reduce news monitoring time by up to 80%: receive curated summaries from thousands of sources, automatically filtered by relevance, so you can focus on strategic decisions instead of manual scrolling.

Protect brand reputation 24/7

Receive real-time alerts when negative mentions spike across social platforms, enabling teams to detect incidents early and respond before escalation, reducing potential reputational harm.

Gain competitive intelligence instantly

Automatically track competitor mentions, product launches, and market movements, surfacing relevant developments and potential opportunities for strategic action.

Increase content engagement rates

Identify trending topics and viral content patterns in real time, and schedule posts to match peak interest windows. Align messaging with current conversations to improve engagement rates and extend audience reach.

Make data-driven marketing decisions

Transform social media chatter into market insights: identify customer sentiment shifts, emerging needs, and campaign performance indicators across channels to optimize your marketing strategy.

Learn more

Learn more about creating an AI Social Media News Agent

Automate your first task
Step 1

Curate News

Use AI to aggregate verified sources, monitor topic trends, and produce concise news briefs tailored to your niche.

Step 2

Draft Posts

Aggregate verified sources, rank stories by credibility and engagement metrics, extract concise summaries and key quotes, tag topics by audience segment, and export headlines and one-sentence summaries for social distribution.

Step 3

Schedule Best Times

Use analytics to schedule posts at identified peak engagement times, queue and auto-post across platforms, and monitor reach, engagement, and conversion metrics.

Benefits

Why use an AI Social Media News Agent?

Automate your next generation task
1

Always-on AI news monitoring and curation

Continuously scans trusted sources, tracks keywords and competitors, deduplicates overlapping stories, and ranks what matters, offloading repetitive news hunting, sorting, and summarizing to an AI social media news agent.

2

AI drafting: platform-specific social posts in seconds

Sends real-time alerts and consolidated digests, flags breaking stories and sentiment shifts, and delivers cleaned summaries with source metadata and links for quick review and routing.

3

Schedule curated news for peak engagement

Queue content for optimal times by platform and time zone, fill calendar gaps, enforce embargoes, and recycle evergreen posts, automating scheduling, rescheduling, and time-slot optimization.

4

Automate hashtag selection, social visuals and A/B variants

Suggests relevant, trending hashtags; generates social cards and thumbnails from article metadata; creates multiple caption and image variants for A/B tests, automating hashtag research and creative iteration.

5

Engagement tools: comment triage and reply suggestions

Monitors mentions and comments, flags FAQs and PR risks, drafts brand-compliant replies for one-click approval, and routes leads, streamlining monitoring and initial-response workflows.

6

Insight-driven optimization, compliance and localization

Tracks performance by topic, format, and hashtag using UTMs; identifies high-converting content; enforces brand voice and policy checks; supports approval workflows; and automatically localizes copy, reducing manual reporting, compliance checks, and rework.

FAQ

Frequently asked questions.

Automate your text generation task

How does AI Social Media News Agent curate credible news sources and track trends for a niche?

AI Social Media News Agent aggregates trusted publishers, tracks keywords and competitors, de-duplicates overlapping stories, and ranks relevance to keep a niche feed clean and actionable. The system uses analytics to detect emerging topics and patterns so news monitoring stays timely and data-driven.

Can AI Social Media News Agent draft platform-specific social posts in a brand voice with visuals, hashtags, and UTM-tagged links?

AI Social Media News Agent auto-summarizes articles into on-brand captions tailored for X, LinkedIn, Facebook, and Instagram, with tone/length controls, pull quotes, CTAs, shortened links, and UTM tags. AI Social Media News Agent also suggests relevant, trending hashtags and generates social cards or thumbnails to speed content creation workflows.

How does AI Social Media News Agent schedule posts for the best times by platform and time zone?

AI Social Media News Agent analyzes engagement patterns to queue posts at optimal times per platform and audience time zone, fills calendar gaps, respects embargoes, and recycles evergreen content. AI Social Media News Agent automates repetitive scheduling and rescheduling to increase reach and consistency.

How does AI Social Media News Agent manage engagement with comment triage and reply suggestions while protecting brand voice?

AI Social Media News Agent monitors mentions and comments, flags FAQs and potential PR risks, drafts on-brand replies for one-click approval, and routes leads to the right owner. AI Social Media News Agent accelerates first response while preserving tone guidelines via approvals and policy checks.

What compliance, approval workflows, and localization features does AI Social Media News Agent include?

Aggregates verified and user-approved publishers and feeds, assigns credibility scores using signals such as publisher reputation, author history, sourcing and citation density, and recency, then de-duplicates overlapping stories and ranks results by niche relevance. Tracks keywords, entities, hashtags, RSS/OPML feeds and competitor mentions with boolean and semantic queries, saved monitors, and scheduled alerts. Detects emerging topics via time-series analytics and anomaly detection on volume, sentiment, and engagement, and surfaces clustered topic summaries and first-seen alerts. Provides source provenance, timestamps, original links, and exportable audit logs; supports allowlists/blocklists and manual overrides for source control.

How does AI Social Media News Agent curate credible news sources and track trends for a niche?

Reduces time spent on manual research and rewriting, improves posting consistency, and surfaces topics and formats that drive higher engagement and conversions. Teams report faster planning, content creation, and performance monitoring, enabling better outcomes with fewer staff-hours.

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