SEO
Search Engine Optimization. Improving accessibility, relevance and presentation in search results—not only a ranked list of links.
AEO
Answer Engine Optimization. A practitioner label for improving content in direct-answer experiences. Mentions, citations and clicks are different outcomes.
GEO
Generative Engine Optimization. Improving representation in generated answers. Being named and being cited are separate; neither is guaranteed.
How much is genuinely different?
The terms overlap and are not standardized. A paper introducing a GEO framework was submitted November 16, 2023 and published in 2024. Its benchmark findings do not validate every commercial tactic. Official guidance says existing SEO fundamentals remain relevant to the documented search AI features. Original research paper.
- Shared foundation. Crawlable content, accurate facts, useful answers and legitimate reputation-building.
- Different emphasis. Technical, content and independent-coverage priorities vary by system and question; no universal weighting is established.
- Distinct measures. Track rankings, traffic, sampled mentions and citations separately. Assess leads and revenue with documented attribution limits.
Coordinate the work
DigitalOS recommends clear ownership, non-duplicative deliverables and shared reporting. Separate suppliers are not inherently wrong; make overlapping responsibilities explicit.
Sources and limitations
Reviewed October 29, 2026. External findings are not DigitalOS experiments or guarantees. Practical recommendations are DigitalOS guidance; research, products and policies can change.
- Original GEO research paper · submitted November 16, 2023
Revised June 28, 2024 and published in 2024. Experimental benchmark findings are not guarantees about current commercial platforms.
- Official AI-search eligibility guidance
Living product documentation; no special AI schema is required for the search features described. Eligibility does not guarantee inclusion.
- Official search spam policies
Living product policy covering link manipulation, doorway abuse and low-value scaled content. Not a universal assistant-selection rule.
