Be the source AI engines cite, not the one they get wrong.
Students compare programs in ChatGPT, Google AI Overviews, Perplexity, and Gemini, often without clicking a single link. Generative Engine Optimization (GEO) makes your institution show up in those answers, accurately, by structuring your content and grounding your authority in verifiable federal data.
Make your institution legible to AI.
AI answer engines retrieve from a handful of sources they trust, then quote them. We structure your content and strengthen your authority so the engines pull from you, with the facts right.
AI search and answer-engine optimization
We tune the pages and signals AI engines read so your programs surface in the answer, not on page two of a link list.
Content structuring for generative visibility
FAQs, summaries, and clear entity definitions written in the short, factual blocks that LLMs quote verbatim.
Schema and structured data
FAQPage, Course, Organization, and Speakable markup, plus llms.txt, so machines parse your facts without guessing.
Authority and source credibility
We align your published facts with the official record (IPEDS, College Scorecard) so engines treat you as a verifiable source.
Monitoring AI visibility and representation
Monthly tracking of how engines answer representative student prompts, with prompt-by-prompt diffs as models change.
Grounded in federal data
Every claim we publish on your behalf traces to verifiable federal data, the same benchmarks behind our free data tool.
More searches now end without a click.
When the answer appears in the AI summary, the student rarely visits the source. If your institution is not structured for that summary, three things happen:
- AI engines may leave your institution out of the answer entirely.
- The facts they do surface about your programs can be incomplete or out of date.
- A competitor with cleaner structured data controls the narrative.
GEO puts your institution where early-stage research now happens, with the facts under your control.
A growing share of search now ends inside an AI answer. Institutions that are not built for generative engines quietly fall out of the consideration set before a student ever visits a website.
From AI blind spot to cited source.
A repeating cycle: baseline how engines see you today, fix the source pages, expand authority, then monitor as the models keep changing.
Visibility baseline
We audit how leading AI engines describe your institution against named competitors across hundreds of student queries, logging citations, accuracy, and gaps.
Source surface optimization
We rewrite the pages engines cite, About, programs, admissions, tuition, outcomes, with structured data and content patterns LLMs reliably quote.
Authority signal expansion
We strengthen the third-party surface (Wikipedia, Wikidata, IPEDS feeds, edu directories, news) where engines harvest retrieval signals.
Continuous prompt monitoring
Monthly tracking across 50 to 200 representative student prompts. We catch regressions and new openings as models update.
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AI visibility audit across ChatGPT, Perplexity, Claude, Gemini, and AI Overviews
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Schema and structured-data buildout (FAQPage, Course, Organization, Speakable)
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llms.txt and llms-full.txt authoring
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Source-page rewrites for AI ingestion, grounded in federal data
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Authority surface expansion (Wikipedia, Wikidata, edu directories)
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Monthly prompt monitoring and citation tracking
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Institutions seeing inquiry decline as students move research into AI tools
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Universities mis-described or omitted in AI answers about their programs
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Online programs competing with for-profit and bootcamp marketing
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Graduate schools where prospects use AI to compare programs
What you can expect.
A higher citation rate when AI engines answer program-related prompts.
Accurate institutional facts surfaced in AI Overviews and answer boxes.
More referral traffic from Perplexity, ChatGPT search, and Bing Copilot.
Defensible visibility as AI keeps pulling answers away from traditional search.
Common questions.
Is GEO replacing SEO?
How do you measure GEO success?
How fast does GEO move?
Why does federal data matter for GEO?
Ready for the future of search?
We will baseline how AI engines describe your institution today and show you exactly where to win the citation. No upfront cost to start.