How to Hire an AI Search and Content Strategy Agency

Elite

Enterprise AI Search is a multi-year program. 
The agency you choose needs to be able to run it across business units, stakeholders, technical environments, and regulatory requirements.

The pitch phase is easy, and everyone sounds credible at the proposal stage. It’s usually not until you’re about six months into an engagement when the differences become visible. This page can help you find those differences earlier.

Why Agency Selection Is Difficult Right Now

The enterprise AI Search vendor landscape is genuinely immature. Traditional SEO agencies have rebranded, new specialists have emerged with deep AI knowledge but limited enterprise delivery experience, and many consulting firms have added AI Search to their service lines without the technical and content depth to back it up.


At the enterprise level, you’re not just buying a service but choosing a partner who needs to navigate legal review, compliance requirements, distributed content ownership, executive stakeholder management, and multi-year program complexity. 

What to Look for at the Enterprise Level

You need an agency that:

Has delivered AI Search programs at enterprise scale with case studies, metrics, and client references to prove it.

Understands how to operate inside, and develop solutions for, complex organizations that may have multiple locations.

Has measurement infrastructure sophisticated enough to connect AI visibility to executive-level business outcomes.

Can coordinate across SEO, content, technical, PR, legal, and brand.

Has experience in your industry, especially if you're in a regulated category.

Your Board Is Asking About AI Search. 
Here's the Playbook Elite Leaders Use.

Evaluations

Strategy Evaluation

Enterprise strategy evaluation looks at whether the agency understands the specific complexity of your organization and whether they’ve solved similar problems before.

Ask them to walk through how they’ve approached cross-functional ownership at previous enterprise clients. 


  • Who owned the program? 
  • How did they handle conflicts between SEO, legal, and brand? 
  • How did they navigate local search at various locations?
  • How did they manage when the strategy needed resources that weren’t initially allocated?


What a strong answer looks like: specific, named challenges with specific solutions, and an honest account of what was hard.
What a weak answer looks like: a clean story about a successful engagement with no friction, no complexity, and no organizational challenge.

Content Evaluation

Enterprise content capability means production at scale with governance, quality control, and the ability to work across distributed teams and regulated categories.


Ask them:


  • How do you maintain content quality and brand consistency across multiple business units and regions?
  • What does your human-in-the-loop production model look like at enterprise scale, specifically the governance layer?
  • How have you handled content programs in regulated industries where legal review adds significant production time?
  • Can you show me content performance results from an enterprise client in a comparable category?


The answer should include specific examples of how they’ve solved the operational complexity.

Technical Evaluation

Enterprise technical evaluation requires going deeper than standard AI Search technical knowledge. You’re looking for experience with the specific complexity of large sites: systematic schema remediation, multi-site crawl architecture, JavaScript rendering at scale, and relevance engineering across large content inventories.


Ask them to describe the most technically complex enterprise engagement they’ve run. 


  • What were the issues? 
  • How did they prioritize remediation? 
  • How did they work with a dev team that was backlogged?


The answers to these questions tell you what kind of agency you’re talking to.

Measurement Evaluation

Enterprise measurement needs to do two things: give your operational teams the data they need to make content and technical decisions, and give leadership a clear line from AI visibility to business outcomes.


Ask them:


  • What does your enterprise measurement framework look like, specifically how you track AI visibility across platforms, brands, and business units?
  • How do you connect AI Search metrics to revenue attribution?
  • Can you show us an example of executive reporting you’ve built for an enterprise client?
  • How do you handle measurement in multi-brand environments where business units have different KPIs?


An agency without enterprise measurement examples isn’t ready to build that infrastructure for you.

Red Flags

Watch for these regardless of how polished the pitch is.

They've never worked in your industry vertical. Regulated categories like financial services, healthcare, pharmaceuticals, and insurance have compliance requirements that require prior experience. 

Their enterprise case studies are thin or vague. Specific metrics, specific timelines, specific organizational challenges. If the case studies read like marketing copy, ask for a client reference call instead.

They can't explain how they handle legal and compliance review. An agency that hasn't built this into their workflow will slow your program down.

The contract scope is rigid. An agency that can't accommodate scope evolution over a multi-year engagement isn't built for the reality of how enterprise programs actually run.

They haven't asked about your internal governance structure. An agency that doesn't understand how decisions get made inside your organization will build a plan that might not work for you.

Questions to Ask Before You Sign

Bring these into any agency evaluation conversation:

Want to learn more about what we can do?

Get the
Elite
AI Search
Readiness Guide

See how to structure governance, content systems, measurement, and execution across a complex enterprise AI Search program.