Marketing ops · Production

How Xponent21 Helps Clients Win in AI Search with AirOps

The problem

Xponent21's internal success with AI SEO created client demand they could not scale. AI search required deep, structured content ecosystems across many client brands simultaneously, and the upstream research, competitor analysis, and planning work was painfully manual—making quality and scale mutually exclusive without a new system.

First attempt

Off-the-shelf LLMs produced content lacking context, nuance, and strategic grounding, requiring constant prompt tweaking and back-and-forth iterations that effectively recreated the same decisions over and over.

Workflow diagram · grounded in source

Brand Kit client encoding

integration

“Brand Kits. Xponent21 could encode tone, audience context, and background knowledge so every workflow started grounded in the client's reality ensuring consistency, accuracy, and brand control at scale.”

Strategy operationalized as workflow

ai_action

“workflows followed it automatically—making decisions around angles, structure, and priorities the same way a strategist would. Quality and governance stopped being fragile or dependent on individual contributors. They became enforced by …”

Research and analysis workflows

ai_action

“Being able to activate workflows that pull, analyze, and compile that information saves us so much time”

Content creation and publishing

output

“Today, Xponent21 uses AirOps across the full lifecycle: onboarding, research, competitor analysis, gap identification, planning, and publishing.”

Reported outcome

Xponent21 scaled AI SEO delivery across clients using AirOps.
One early client saw nearly 300% year-over-year growth in organic impressions and over 50% growth in leads, with multiple clients reporting their strongest sales months after launching AI-optimized content ecosystems.

Reported metrics

Organic impressions growth (client)nearly 300% year-over-year

Lead growth (client)over 50%

Client sales performancestrongest sales months

Lead quality improvementvery tangible difference in the quality of leads

Show all 5 reported metrics

organic impressions growth (client)nearly 300% year-over-year

lead growth (client)over 50%

client sales performancestrongest sales months

lead quality improvementvery tangible difference in the quality of leads

time savings from research workflowssaves us so much time

Reported stack

AirOpsBrand Kits

Source

https://www.airops.com/blog/xponent21-case-study

Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Xponent21 scaled AI SEO delivery across clients using AirOps.

What tools did this team use?

AirOps, Brand Kits.

What results were reported?

Organic impressions growth (client): nearly 300% year-over-year; Lead growth (client): over 50%; Client sales performance: strongest sales months; Lead quality improvement: very tangible difference in the quality of leads (source-reported, not independently verified).

What failed first in this deployment?

How is this marketing ops AI workflow structured?

Brand Kit client encoding → Strategy operationalized as workflow → Research and analysis workflows → Content creation and publishing.

Xponent21 scaled AI SEO delivery across clients using AirOps.One early client saw nearly 300% year-over-year growth in organic impressions and over 50% growth in leads, with multiple clients reporting their strongest sales months after launching AI-optimized content ecosystems.