THE SHORT ANSWER
Classic SEO competes for a position on a results page. AI search competes to be the passage an engine quotes. The overlap is large, because most engines retrieve from a conventional index, but three things change: the unit of competition becomes the paragraph rather than the page, originality matters more than coverage, and the measurement is a set of prompts rather than a rank tracker.
What carries over unchanged
Crawlability, index coverage, page speed, internal linking, clean URL structure, structured data and topical depth. Most engines retrieve from a conventional index, so a site that cannot be crawled or ranked cannot be cited either. There is no shortcut that bypasses the fundamentals.
What genuinely changes
The unit of competition. A page ranks; a paragraph gets quoted. Structure so that any single section can stand alone as an answer.
Originality over coverage. In classic SEO you could win by covering a topic more thoroughly than competitors. In AI search, restating consensus gives the engine no reason to choose your version. Publish something only you know.
The measurement. There is no rank position to track. You track a fixed set of prompts and log whether you were named or linked, which is a slower, noisier signal.
What this means for how you write
Shorter paragraphs, each self-contained. Answers before context rather than after it. Numbers with their method attached. Headings phrased as the question rather than as a topic label. Fewer, better pages rather than more of them.
That last point runs against a decade of content-volume advice, and it is the change most sites find hardest.
Where the two conflict
Rarely, but they do. Long introductions help dwell time and hurt retrieval. Interactive calculators engage visitors and are invisible to retrievers. Where they conflict, publish both: the widget for the human and the same figures in text for the machine.
Related answers
Frequently asked questions
Do I need a separate strategy for AI search?
Not a separate strategy, but a few additions: answer-first structure, original figures, and prompt-based measurement alongside rank tracking.
Does classic SEO still matter for AI visibility?
Very much. Most engines retrieve from a conventional index, so poor crawlability or weak rankings limit citation directly.
Is content volume still a valid strategy?
Less so. Thin pages restating consensus give no engine a reason to prefer you. Depth and originality per page do more than page count.
How do I track AI search visibility?
Fix a list of prompts, run them on a schedule from clean sessions, and log whether you were named and whether you were linked. Watch branded search volume as the leading indicator.
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