# Write a job post with a salary benchmark. From the posts competing for the same people A job post benchmark reads what other employers offer and ask for the same role, so your post is priced right and reads differently. With Agentik, your AI reads similar LinkedIn posts and their skills through TikHub, salary ranges on Google Jobs with DataForSEO, and recent salary reports with Exa. - For: Hiring managers, recruiters and founders - Providers: 3 (TikHub, DataForSEO and Exa), 4 tools - Example (One role in the United States, one LinkedIn search, 5 job posts read with skills, 2 Google Jobs searches, one salary report search): at most $0.36, 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. - **TikHub** (2 tools, at most $0.30): Similar LinkedIn job posts, with their skills and details. - **DataForSEO** (1 tool, at most $0.0036): Google Jobs results, where many posts show a salary range. - **Exa** (1 tool, at most $0.06): Recent salary reports and surveys for the role. ## Give this to your agent ```text Use my connected Agentik MCP server for this job: job post and salary benchmark. Write a job post with a salary benchmark. First ask me for the role, the level, the location or remote policy, and what makes the job different. Find similar roles on LinkedIn with tikhub/linkedin-web-v2-search-jobs and read five posts with their skills with tikhub/linkedin-web-v2-get-job-detail. Read salary ranges shown on Google Jobs with dataforseo/serp-google-jobs. Find recent salary reports with exa/search. Finish with a salary range with its sources, the skills competitors ask for, and a job post (title, summary, responsibilities, requirements, pay, benefits) that avoids the clichés in the posts you read. 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 role and level - Location or remote policy - What makes the job different ## What you get: a job post with a sourced salary range - A salary range with sources - Skills competitors ask for - A complete job post - The clichés it avoids ## How to write a job post with a salary benchmark in Claude or ChatGPT Prices are the most each call can reserve for this example: One role in the United States, one LinkedIn search, 5 job posts read with skills, 2 Google Jobs searches, one salary report search. ### 1. Read similar job posts TikHub finds similar roles posted on LinkedIn this month and reads five posts with their required skills. - [LinkedIn job search](/tools/tikhub/linkedin-web-v2-search-jobs.md) `tikhub/linkedin-web-v2-search-jobs` (TikHub, 1 search): at most $0.05 - [LinkedIn job detail](/tools/tikhub/linkedin-web-v2-get-job-detail.md) `tikhub/linkedin-web-v2-get-job-detail` (TikHub, 5 posts): at most $0.25 ### 2. Read salary ranges Google Jobs results show the salary ranges employers post, and Exa finds recent salary reports for the role. - [Google Jobs SERP](/tools/dataforseo/serp-google-jobs.md) `dataforseo/serp-google-jobs` (DataForSEO, 2 searches): at most $0.0036 - [Google Jobs SERP](/tools/dataforseo/serp-google-jobs.md) `dataforseo/serp-google-jobs` (DataForSEO, 2 results): free - [Exa web search](/tools/exa/search.md) `exa/search` (Exa, 10 reports): at most $0.06 ### 3. Write the job post Your AI writes a salary range with its sources, the skills to ask for, and a full job post without the clichés of the posts it read. Example total: at most $0.36. Each call is billed for measured usage; unused reservations are released. ## Ask it your way - What should I pay a senior product designer in New York, and how should I write the post? - Which skills do companies ask for in data analyst posts this month? - Write a job post for a customer success manager that doesn’t sound like the others. - Give me a salary range for this role with sources. ## Why through Agentik - LinkedIn posts, Google Jobs and salary reports come from TikHub, DataForSEO and Exa through one connection. - LinkedIn job reads are the largest share of the price; Google Jobs searches cost a fraction of a cent. ## Good to know - Posted ranges are what employers publish, not what people are paid. - Pay transparency laws in some places require a range in the post. ## When to use something else For compensation bands across your whole company, use a compensation data provider. This playbook prices and writes one role from public posts. ## Job post and salary benchmark: questions ### Are posted ranges what people earn? No. They are what employers publish, a market signal rather than actual pay. ### Do I have to publish a salary range? Pay transparency laws require it in some places. The benchmark gives you a range you can defend. ### What does the example cost? At most $0.36, reserved before each call and settled at the measured usage. ## Keep going - [Candidate sourcing](/candidate-sourcing.md): People in the role today, their full profiles, the open-source work behind their names, and verified emails for the shortlist. - [Talent market map](/talent-market-map.md): How many people hold the role in five cities, how many companies are hiring for it there, the salaries posted, all converted to one currency. - [Employer reputation check](/employer-reputation.md): What employees and candidates say about a company on Reddit, X and TikTok, and what Google shows for its reviews, sorted into themes. - [B2B data and enrichment tools for your agent](/tools/enrichment.md) - [Web search tools for your agent](/tools/search.md) - [Research tools for your agent](/tools/research.md) [All playbooks](/playbooks.md) · [Connection guides](/docs/clients.md) · [Billing](/docs/billing.md) --- [HTML page](/job-post-and-salary) · [Agent index](/llms.txt)