Prospective students are asking AI where to apply. Your website wasn't built to answer.
We make institutions discoverable in AI search, take the grind out of grant work, and give administrative teams workflows they'll actually use.
Most institutional websites were designed for humans and for Google. Neither assumption holds anymore. A prospective student, parent, or funder increasingly asks a model — and the model answers from whatever facts it can extract. Sites that lead with voice, bury facts in narrative, and carry no structured data simply don't get cited. Even a site relaunched in the last year is usually missing the pieces that matter.
The teams responsible for fixing it are small. Communications is often one person. There's no bandwidth for crawls, audits, or accessibility reviews, and no line item to hire it out.
Grant work has its own arithmetic. Research is the expensive part, not writing — criteria change, programs disappear, and someone has to keep checking. Federal grant environments in particular have gotten less stable, which means more research per dollar raised.
And the compliance envelope is real: accessibility standards now cover all program-related communications, not just the website, and institutions are appropriately cautious about claims they can't substantiate.
The last problem is cultural. Faculty and staff range from enthusiastic to actively resistant, and most administrative staff have an AI license from a software bundle that they don't like and don't use.
Three places it pays off first.
Discoverability
Being findable and citable in AI search.
Grant and advancement work
The research and drafting cycle.
Administrative capacity
Role-specific workflows for teams that will never have more staff.
The workflows we build.
Not a menu you buy off. It's the work we've actually built in this industry — start with the one costing you the most hours.
AI visibility (AEO/GEO)
- Crawl and access audit — what a model can actually reach on your site
- robots.txt strategy that balances discoverability against privacy on staff and registrar pages
- Schema and JSON-LD implementation, so facts are machine-readable
- Heading structure, broken link, and technical cleanup
- Content review: where pages lead with voice and should lead with fact
- Monitoring how models actually answer questions about your institution
Accessibility
- Recurring WCAG 2.2 AA compliance crawls with a prioritized remediation queue
- Accessible document generation for materials beyond the website
- Alt text and caption generation at scale
Grants and advancement
- Grant opportunity research filtered to your actual eligibility profile
- Fit and likelihood scoring based on what you've won before
- Application drafting from your prior successful proposals and institutional language
- Reporting and compliance narratives for active grants
- Deadline and requirement tracking
- Donor research, segmentation, and appeal drafting
Admissions and marketing
- Inquiry and applicant communication drafting
- Program page content built to be both readable and machine-readable
- Yield campaign copy and segmentation
- CRM hygiene and follow-up
Institutional research and reporting
- Survey and assessment analysis
- Accreditation evidence assembly and narrative drafting
- Board and cabinet reporting
Staff enablement
- Role-specific workflows for advancement, registrar, communications, finance, and student services
- Governance and acceptable use policy for staff, separate from student policy
- Training built around each office's actual work
Admissions conversations, and any claim about students or outcomes you can't back with hard data. The point of higher ed marketing is the human relationship — we're making sure the facts underneath it are findable, not replacing the voice on top.
What working together looks like.
We usually start with an audit, because it produces a written deliverable and a clear prioritized list within two weeks. From there, the two natural workstreams are grants and staff enablement — and enablement works best starting with the offices that own the most repetitive work, rather than an all-campus rollout nobody asked for.
Research
We map how work actually moves through your business — not the org chart, the real path — and quantify where the hours go.
Build
We build inside the tools you already own. No new platform, no custom system that breaks when the technology changes, no vendor lock-in. Everything we build belongs to you.
Train
We teach your team to run and extend what we built, so the next workflow doesn't require us.
What this industry always asks.
"Will AI make us sound like everyone else?"
The work isn't writing your voice. It's making sure the facts a model needs are actually on the page, so when someone asks about your programs, the answer is accurate and it's yours.
"Our faculty will resist this."
Usually, yes. Which is why we don't start there. We start with administrative offices where the work is clearly repetitive and the benefit is obvious, and let the results make the argument.
"We already pay for AI in our software bundle."
Most institutions do, and most staff don't use it, because a general license isn't a workflow. The gap isn't access.
Start with the audit.
We'll show you exactly how your site reads to an AI search engine and what to fix first. Two weeks, written deliverable.
Let's build your
AI advantage.
Book a free 30-minute strategy session. We'll look at your workflows, find the biggest opportunities, and show you exactly what AI can do for your team.
Book Your Free Strategy Session