# Write a LinkedIn post with sources people trust. From the posts that did best this month A sourced LinkedIn post makes one point, backs it with recent data, and borrows structure from posts that work. With Agentik, your AI reads this month’s top posts on the topic through ScrapeCreators, finds recent studies to cite with Exa, and makes two visual options with fal. - For: Founders, consultants and B2B marketers - Providers: 3 (ScrapeCreators, Exa and fal.ai), 4 tools - Example (2 LinkedIn searches, 5 posts read, 2 fresh-data searches, 2 visuals): at most $0.18, computed from the live catalog - Updated: 2026-10-10 ## Each provider does one part No single provider covers this job. Through Agentik your AI calls each one for its part, from one connection and one prepaid balance. - **ScrapeCreators** (2 tools, at most $0.02): This month’s top LinkedIn posts on the topic, read for structure and angle. - **Exa** (1 tool, at most $0.05): Recent studies and data to cite, with their links. - **fal.ai** (1 tool, at most $0.12): Two visual options for the post. ## Give this to your agent ```text Use my connected Agentik MCP server for this job: linkedin post with sources. Write a LinkedIn post on a topic, with sources. First ask me for the topic, my point of view and two of my past posts for my voice. Find the best posts on the topic this month with scrapecreators/get-v1-linkedin-search-posts and read the five best with scrapecreators/get-v1-linkedin-post. Find recent data and studies to cite with exa/search. Create two visual options with fal/ideogram-v3. Finish with the post in my voice, the sources it cites, two alternative hooks and the better visual. Before running anything, inspect each tool with inspect_tool, ask me for any input you don’t have instead of inventing it, and tell me the total price. Wait for my go. At the end, tell me what Agentik charged. ``` ## You provide - The topic - Your point of view - Two of your past posts ## What you get: a LinkedIn post with sources and a visual - What top posts on the topic do - Fresh sources to cite - A post in your voice with two alternative hooks - Two visuals to choose from ## How to write a LinkedIn post with sources in Claude or ChatGPT Prices are the most each call can reserve for this example: 2 LinkedIn searches, 5 posts read, 2 fresh-data searches, 2 visuals. ### 1. Read the best posts on the topic ScrapeCreators finds the best posts on the topic this month and reads five of them in full. - [LinkedIn post search](/tools/scrapecreators/get-v1-linkedin-search-posts.md) `scrapecreators/get-v1-linkedin-search-posts` (ScrapeCreators, 2 searches): at most $0.0038 - [LinkedIn post](/tools/scrapecreators/get-v1-linkedin-post.md) `scrapecreators/get-v1-linkedin-post` (ScrapeCreators, 5 posts): at most $0.0094 ### 2. Find fresh data Exa searches recent studies and data published in the last months, with their links. - [Exa web search](/tools/exa/search.md) `exa/search` (Exa, 2 searches): at most $0.05 ### 3. Make the visuals Ideogram 3 makes two visuals for the post, one image per call, so you can pick one. - [Ideogram 3 text to image](/tools/fal/ideogram-v3.md) `fal/ideogram-v3` (fal.ai, 2 images): at most $0.12 ### 4. Write the post Your AI writes the post in your voice with its sources and two alternative hooks. Example total: at most $0.18. Each call is billed for measured usage; unused reservations are released. ## Ask it your way - Write a LinkedIn post about remote onboarding with recent data. - What did the best LinkedIn posts on this topic do this month? - Find two studies I can cite in a post about hiring. - Make a carousel cover for my next LinkedIn post. ## Why through Agentik - LinkedIn posts, recent studies and visuals come from three providers through one connection. - The visuals are most of the price; the LinkedIn reads cost a fraction of a cent. ## Good to know - Your AI quotes sources it read and links them; check numbers before you post. - Top posts show what works for others, not a promise of reach. ## When to use something else To schedule posts and track LinkedIn analytics, use a LinkedIn scheduling tool. This playbook writes one post with sources you can check. ## LinkedIn post with sources: questions ### Will it sound like me? Give your agent two of your past posts and it matches their voice. ### Are the numbers checked? Your AI cites only sources it read and links them; check each number before you post. ### What does the example cost? At most $0.18, reserved before each call and settled at the measured usage. ## Keep going - [Repurpose a video](/repurpose-video.md): One YouTube video turned into a week of posts for LinkedIn, X, Instagram and TikTok, written from its transcript, with this week’s trending hashtags and three quote cards. - [Media list](/media-list.md): Journalists who covered your topic in the last months, found from their articles, with their X profiles, verified emails and the story each one wrote. - [Weekly newsletter draft](/newsletter-draft.md): The week’s news, Hacker News stories, X posts and Reddit threads on your topic, the best ones read in full, turned into a newsletter draft with links. - [Social tools for your agent](/tools/social.md) - [Web search tools for your agent](/tools/search.md) - [Image tools for your agent](/tools/image.md) [All playbooks](/playbooks.md) · [Connection guides](/docs/clients.md) · [Billing](/docs/billing.md) --- [HTML page](/linkedin-post-engine) · [Agent index](/llms.txt)