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Primer5 min read

What GEO actually is — a plain-language primer

Generative Engine Optimization, explained without the acronyms getting in the way.

For twenty years, the question 'how do people find my brand?' had one answer: search. You optimized for Google, you climbed the blue links, and traffic followed. That world is quietly ending. A growing share of buyers now ask an AI first — ChatGPT, Gemini, Perplexity, or DeepSeek and Qwen — and the AI answers in a paragraph, not a page of links.

This is not a forecast — it's already happening

In education, the shift is measured and steep. Carnegie's annual survey of US high-school seniors found the share using AI to explore colleges rose from 4% in 2023 to 10% in 2024 to 23% in 2025 — doubling every year. Among newly-admitted international students, INTO University Partnerships found 17% used AI in their initial research, and 96% of those rated it at least as good as traditional sources like agents, prospectuses and official sites. EAB found 18% of students have already removed a school from their list based on AI results alone.

What GEO optimizes for

Generative Engine Optimization (GEO) is the discipline of measuring and improving how those AI engines represent your brand when someone asks. It is the AI-era counterpart to SEO, but the target has changed. You are no longer optimizing to rank a link; you are optimizing to be mentioned, cited, and described accurately inside a synthesized answer.

Three things that make GEO not just SEO

  • Answers are probabilistic. Ask the same question twice and you can get different replies, so visibility must be measured across many samples, not read off a single lookup.
  • There is no public ranking to check. If you are not in the answer, you may never know — there is no page two to climb to.
  • The engines disagree — with each other and across languages. A brand can be prominent on ChatGPT and invisible on DeepSeek at the same time.

Measurement before optimization

So the work of GEO is less like tuning a page and more like running an instrument. You sample real answers continuously, you count how often and how favorably your brand appears, you find which sources the engines cite, and you make your own content the cleanest, most retrievable version of the truth. Done honestly, it is measurement first and optimization second — because you cannot improve a number you have not learned to trust.

Sources & further reading

  1. Carnegie — College Choice TrendsAnnual survey of US high-school seniors: students using AI to explore colleges rose 4% (2023) → 10% (2024) → 23% (2025).
  2. INTO University Partnerships — international-student research (2025)N=1,600+ newly-admitted international students: 17% used AI in initial college research; among AI users, 96% rated it at least as good as traditional sources (agents, prospectuses, official sites); ~21% of mainland-China students used AI. Reported via ICEF Monitor.
  3. EAB — student college-search tracking (2026)46% of students used ChatGPT in their search (+20pp YoY); 18% removed a school from consideration based solely on AI-generated results.

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