Service · AI Agents and Workflow Automation
AI agents and workflow automation for B2B marketing teams.
Custom AI agents and automated workflows for B2B marketing teams. The same firm that runs your GEO program designs, builds, and governs the agents inside your team: citation monitors, research agents, drafting agents, and the off-the-shelf stack.
Agents that do the work, not just answer questions.
- Citation-monitoring agents. Always-on agents that scan ChatGPT, Perplexity, Gemini, and Claude for category prompts and alert your team the day a competitor's share of voice moves.
- Research and competitive-intelligence agents. Agents that pull category news, competitor moves, regulatory shifts, and named-source updates into a weekly briefing your strategist actually uses.
- Content drafting and editorial agents. Long-form drafting, outline generation, fact-check passes, and style enforcement against the brand voice. Wired into the publishing workflow.
- Internal workflow automation. Brief intake to draft to review to publish, automated end-to-end. The marketing team approves; the agents do the keystrokes.
- Off-the-shelf agent curation. Which agents to license (Claude, ChatGPT, Anthropic Workbench, OpenAI Agents, Gemini), at what tier, with what governance. The buy-vs-build call, with a real recommendation.
- Custom integrations. Agents wired into HubSpot, Salesforce, Notion, Google Workspace, the CMS, and the analytics stack. They run where the team already works.
The same firm that runs your GEO program.
Most agencies talk about AI. Reneka builds the agents inside the marketing team. The advantage is integration: the same firm that runs your citation strategy, your content engine, your paid program, and your reporting stack also designs the AI agents that automate the work between those service lines. The agents are not bolted on. They are part of the engagement.
Agent governance, prompt libraries, and the evaluation harness that proves the agent is improving over time are all part of the deliverable. We do not hand a client a chatbot and call it transformation.
Marketing-specific use cases first.
- Always-on citation monitoring across the four major AI engines, with weekly written briefings and alerts on competitor share-of-voice moves.
- Editorial content engines that produce first-draft long-form against the GEO Field Guide model. Fact-checked, sourced, and written in the brand voice.
- Sales enablement agents that pull the right case study, the right battlecard, and the right citation for any inbound prospect, on demand.
- Audit and reporting automation. Quarterly client reporting, monthly competitive scans, and weekly delivery briefs assembled by agent and approved by humans.
- Custom internal-tool agents for clients with operational complexity. Same lane as the Hines internal property tracking work, now with an agentic layer.
Common questions.
Do you build custom AI agents or just configure off-the-shelf ones?
Both. The starting point is usually an off-the-shelf foundation (Claude, ChatGPT Agents, OpenAI Agents) plus a custom prompt library, evaluation harness, and integration layer. For workflows where off-the-shelf is not enough, we build custom agents on the Anthropic, OpenAI, or open-source stack. The decision is downstream of the program goals, not a default.
Which AI platforms do you build on?
Claude (primary), ChatGPT, OpenAI Agents, Anthropic Workbench, and Gemini for the foundation. Custom integrations into HubSpot, Salesforce, Notion, Google Workspace, and the major CMSes. Open-source agent frameworks (LangChain, CrewAI, Mastra) where the program calls for it.
How does this fit with the GEO program?
It is designed to. The same firm that runs your citation strategy and content engine also designs the agents that automate the work. Citation monitoring, content drafting, audit reporting, and competitive intelligence all live inside the same retainer if the scope calls for it.
Will the agents replace our marketing team?
No. Agents replace the keystrokes, not the judgement. Strategy, brand voice, fact-check, and approval still sit with humans. The agents do the work the team would otherwise do at 2am: drafting, scanning, briefing, monitoring. That frees the team to focus on the calls, the editorial decisions, and the relationships.
How do you govern the agents once they are running?
Every agent ships with a written governance brief: what it can do, what it cannot, what data it touches, who approves changes. Plus an evaluation harness that scores agent output weekly against a quality rubric, so we can prove the agent is improving. Or pull it.
Get cited.
Not just ranked.
A 30-minute call with a Houston-based GEO strategist. We will run a live AI citation audit on your brand and walk you through what ChatGPT, Perplexity, Gemini, and Claude are saying about you today. No pressure, no pitch deck.