# Hear what people really say about your brand. On X, Hacker News, YouTube and in the news Social listening collects what people say about a brand where they say it, then sorts it into themes you can act on. With Agentik, your AI reads recent posts on X, Hacker News stories and comments, YouTube comments through DataForSEO, and Google News coverage through Serper, then groups everything by theme with quotes. - For: Brand, PR and product marketing teams - Providers: 4 (X, Hacker News, DataForSEO and Serper), 6 tools - Example (200 posts on X and 20 author profiles, 70 Hacker News results, comments on 3 YouTube videos, 20 news results): at most $1.25, computed from the live catalog - Updated: 2026-10-07 ## 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. - **X** (2 tools, at most $1.20): Posts from the last seven days that mention you, and their authors. - **Hacker News** (1 tool, free): Stories and comment threads where builders discuss you. - **DataForSEO** (2 tools, at most $0.04): Comments under the YouTube videos that review you. - **Serper** (1 tool, at most $0.01): News articles that mention you, from Google News. ## Give this to your agent ```text Use my connected Agentik MCP server for this job: social listening. Run social listening on my brand. First ask me for my brand name, its common misspellings and any competitors to compare. Collect posts from the last seven days with x/search-recent and the authors’ profiles with x/users-by-usernames. Search stories and comments with hackernews/search. Find review videos with dataforseo/youtube-search and read their comments with dataforseo/youtube-video-comments. Collect news coverage with serper/news. Finish with themes, each with its share, three quotes with links, and what to do about it. 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 - Your brand name, and how people misspell it - Competitors to compare (optional) ## What you get: a theme report with quotes - The week’s posts on X, with the authors who matter - Hacker News threads and YouTube comments about you - News coverage, with sources and dates - Themes with their share, quotes and links, and what to do about each ## How to run social listening on your brand in Claude or ChatGPT Prices are the most each call can reserve for this example: 200 posts on X and 20 author profiles, 70 Hacker News results, comments on 3 YouTube videos, 20 news results. ### 1. Collect posts on X The last seven days of posts that mention you, then the profiles of their authors. - [Recent search](/tools/x/search-recent.md) `x/search-recent` (X, 200 posts): at most $1.00 - [User profiles by usernames](/tools/x/users-by-usernames.md) `x/users-by-usernames` (X, 20 profiles): at most $0.20 ### 2. Read Hacker News Stories and comment threads that mention you. - [Hacker News search](/tools/hackernews/search.md) `hackernews/search` (Hacker News, 20 stories): free - [Hacker News search](/tools/hackernews/search.md) `hackernews/search` (Hacker News, 50 comments): free ### 3. Read YouTube comments The review videos that rank for your name, and the comments under them. - [YouTube search results](/tools/dataforseo/youtube-search.md) `dataforseo/youtube-search` (DataForSEO, 1 search): at most $0.002 - [YouTube video comments](/tools/dataforseo/youtube-video-comments.md) `dataforseo/youtube-video-comments` (DataForSEO, 3 videos): at most $0.03 ### 4. Collect news coverage Serper searches Google News for articles that mention you. - [Google News search](/tools/serper/news.md) `serper/news` (Serper, 20 results): at most $0.01 ### 5. Sort into themes Your AI groups everything by theme, counts each one and quotes examples with their links. Example total: at most $1.25. Each call is billed for measured usage; unused reservations are released. ## Ask it your way - What did people say about our launch on X and Hacker News this week? - Compare how people talk about us and Competitor X on YouTube. - Which complaints about our pricing keep coming up? - Did any news outlet cover our outage, and what did they say? ## Why through Agentik - X, Hacker News, YouTube and Google News come from four providers through one connection. - Hacker News is free and X is priced per post read; your agent quotes the run first. ## Good to know - X recent search covers the last seven days; older posts need full-archive search, priced separately. - Quote people accurately, and respect each platform’s terms when you share what you found. ## When to use something else For real-time alerts across many networks, a social listening platform fits better. Agentik suits weekly reads your AI runs and explains. ## Social listening: questions ### Which sources are covered? X, Hacker News, YouTube comments and Google News. On request, your agent can add Reddit and forums with web search. ### Couldn’t I just use the X API? For posts on X, yes. Hacker News, YouTube comments and news come from three more providers. Through Agentik your AI reads all four from one connection; the example costs at most $1.25. ### What does the example cost? At most $1.25; most of it is the 200 posts on X. ## Keep going - [AI visibility audit](/ai-visibility-audit.md): ChatGPT, Claude, Gemini, Google AI Mode, Perplexity and Grok, asked your buyers’ questions: who they name, and what they cite. - [Market research](/market-research.md): The companies in the space, their pricing pages, Google search demand for the category, and what buyers say on Hacker News and X. - [Competitor ad research](/competitor-ad-research.md): Their longest-running Meta and Google ads, why they work, where they send people, and how those offers changed. - [Social tools for your agent](/tools/social.md) - [News tools for your agent](/tools/news.md) - [SEO tools for your agent](/tools/seo.md) [All playbooks](/playbooks.md) · [Connection guides](/docs/clients.md) · [Billing](/docs/billing.md) --- [HTML page](/social-listening) · [Agent index](/llms.txt)