Integration
Connect WebuildYourAI. to
X
Introduction
X (formerly Twitter) is a real-time social and information platform used by brands, public bodies, publishers and analysts to broadcast updates, converse with audiences and observe sentiment. Because X underpins marketing, customer care and public messaging, our agency designs AI agents that sit on its APIs, turning raw timelines, mentions and analytics into coordinated, semi-autonomous workflows across support, communications and insight teams.
Core Workflows
AI agents ingest mentions and DMs from X into unified queues, classify intent, urgency and sentiment, then route issues into helpdesk platforms. They draft compliant replies from knowledge bases, flag high-risk cases, schedule follow-ups and track resolution so support teams gain faster, more consistent responses without losing oversight.
Using streaming and search endpoints, agents watch for spikes in mentions around brands, executives or issues, detect tone shifts and map emerging narratives. They trigger crisis playbooks, notify on-call teams, assemble context from historic posts and external sources, and propose response lines that balance transparency, regulatory obligations and reputation.
Agents integrate with the X Ads API to review campaign and post-level metrics, comparing performance against targets and other channels. They adjust budgets within agreed rules, pause underperforming creatives, surface winning messages, and summarise impact for stakeholders, while logging changes so marketing teams understand how real-time optimisation decisions were made.
By continuously mining public posts, Lists and Communities, agents cluster themes, track competitor activity and follow key topics. They label datasets with sentiment and intent, enrich CRM and BI tools with social insight, and produce scheduled briefings that help product, PR and leadership teams align decisions with live audience signals from X.
Agents support executive and brand accounts by proposing posts aligned to agreed narratives, scheduling around events, and enforcing approval flows. They highlight replies that merit direct engagement, summarise threads before busy leaders respond, and check content against governance rules, helping organisations maintain a consistent, accountable presence on X.
Extended Capabilities
Agentic workflows use X’s posting, search, streaming and ads interfaces to observe activity, decide next steps and act with limited manual handling. Our agents monitor mentions, generate context-aware replies, tune campaigns, summarise conversations and synchronise structured data with broader customer, marketing and reporting systems.
Conclusion
Agentic workflows built on X allow organisations to handle real-time conversations, campaigns and risks in a more structured, traceable way. By linking X data with helpdesk, CRM and analytics tools, agents distil noise into clear context, recommended actions and concise reporting, while respecting human review. Specialist implementation support can align these automations with existing governance, approval chains and compliance requirements.