Key Takeaways
- Generic positioning loses. Agencies need clear category and vertical language.
- Proof pages, case studies, and comparison assets matter more than slogan-heavy homepages.
- The best agency sites answer who they help, what they do, how they work, and why they are different in language a model can cite.
What agencies get wrong
Many agency sites are visually polished but structurally vague. They say they drive growth, unlock performance, and build category leaders, but they never define the actual services, vertical strengths, pricing approach, or proof that answer engines need to confidently recommend them.
The pages that create recommendation readiness
Agencies should invest in service pages that name deliverables clearly, case studies that describe the work honestly, comparison pages that explain fit, and FAQ pages that answer common buyer objections. Answer engines reward specificity. They struggle with positioning that could describe any agency on earth.
Rhemic’s for-agencies page, case studies, and comparison hub are good examples of the page types agencies should build for themselves.
The operational checklist
- Define the agency in one sentence that names service, buyer, and specialty.
- Publish FAQ, pricing framing, and comparison content before adding more vague thought leadership.
- Add structured data that makes the organization, services, and articles machine-readable.
- Track whether the agency is actually being named in the prompts it wants to win.
Agency AEO FAQ
Do agencies need separate pages for each vertical?
If vertical specialization is a core differentiator, yes. It is much easier for a model to recommend a clearly specialized agency than a generic one.
What type of proof matters most?
Specific proof with context. Real case studies, examples of deliverables, and clear descriptions of the work beat abstract claims every time.
How can an agency sell AEO to clients?
By showing the visibility gap directly: who AI recommends today, where the client is missing, and what changes would improve recommendation odds.