MCP server for AI SEO and AI visibility. Check a website, see how often AI assistants recommend your brand, research keywords, trends and YouTube topics, find creators and links, get a plain to-do list. Data jobs are priced first. History and reports stay in your Apify account.
Which Citebase tool to run, for example 'get_playbook'. Start with get_playbook and arguments {} to list the guidelines, then read 'start'. Required. NOT an Apify Actor name.
Inputs for the chosen tool as a JSON object. get_playbook {name?} e.g. {"name":"start"}. audit_site {url, max_pages?} e.g. {"url":"https://example.com"}. quote_cost {pack:"starter"} or {items:[{job,units,requests?}]}. measure_recommendation_share {panel,runs,brand?,...} or {project}. next_steps {audit?,report?,max_steps?}. check_outreach_draft {to,subject,body,...}. check_ai_content {text,threshold?}. save_results {project, runs?, panel?, brand?, audit?}. get_history {project}. make_report {project}. import_ai_results {project, items, snapshot, save?, append?, replace?, panel?, brand?, context?} reads results of AI Brand Monitor, Google AI Overviews, Google AI Mode and the tracker Actors (send panel and brand with save true to start a project in one step; context is the country, language and device of the run). schedule_checks {project, url?, frequency?, max_pages?, platforms?, repeats?} gives the Actor runs to add and the worst-case monthly cost; repeats is 1 to 5, default 3. scheduled_check {project, url, max_pages?}: the site check + report refresh to run from an Apify Schedule. No credentials here. Defaults to {}.