The practical distinction
This comes down to a handful of concrete details. Work through the list below and flag the ones you have not covered yet.
- SEO: technical access, relevance, authority and search-result visibility.
- AEO: structuring answers for question-led interfaces.
- GEO: improving the likelihood that generative systems mention or cite the brand.
Do not split the foundation
A SaaS site still needs indexable feature pages, use cases, integrations, comparisons and documentation. AI-focused work should improve those pages rather than create a parallel set of vague AI content.
A sensible order
Here is the process broken into clear steps. Take them one at a time and check each off before continuing.
- Fix crawlability, metadata, canonicals and performance.
- Map product entities, audiences and use cases.
- Create focused pages for high-intent questions.
- Add appropriate schema and source links.
- Measure organic impressions, assisted conversions and observed citations separately.
Where teams commonly go wrong
Use the list below as a working checklist. Each item is something you can verify or action directly on your own site.
- Building a separate 'AI content' section instead of improving existing product pages.
- Assuming GEO replaces SEO rather than depending on it for crawlability and authority.
- Chasing AEO formatting on pages nobody searches for.
- Measuring success by traffic alone when the real goal is qualified pipeline.
A quarterly review sequence
Follow the sequence below from start to finish. The order matters: later steps assume the earlier ones are done.
- Re-run the same set of buyer prompts across the major AI assistants.
- Compare Search Console impressions for the same core queries.
- Note any new competitors appearing in citations or rankings.
- Update the pages that lost visibility before adding new ones.