Businesses now need to be visible in two different places: traditional search results, and the direct answers ChatGPT, Gemini, and Perplexity generate without ever sending someone to a website. Our guide to how AI search is reshaping SEO covers what’s changed at a structural level. This article is the tactical follow-up — seven specific things a business can actually do to improve visibility in both environments.
1. Publish Content With Real Depth, Not Just Coverage
AI systems increasingly favor content that fully resolves a question over content that briefly touches on many related topics. Original insight, specific examples, and genuine expertise consistently outperform generic overview content — both for getting cited in AI-generated answers and for actually being useful to a human reader, which are increasingly the same test.
2. Build Topic Clusters Instead of Isolated Articles
A single article on a topic signals less expertise than a connected group of articles that clearly demonstrate depth in that area. If “AI marketing” is a core topic for a site, supporting articles on AI email marketing, AI content creation, and AI-driven analytics — properly linked together — help both search engines and AI systems recognize the site as a genuine authority rather than a single lucky hit.
3. Strengthen Real E-E-A-T Signals
Google’s E-E-A-T framework — Experience, Expertise, Authoritativeness, Trustworthiness — has become more relevant, not less, as AI-generated content has made low-effort articles cheaper to produce at scale. Real author bios (not fabricated ones), citing credible sources accurately, and updating content when it goes stale all genuinely support this — not as a checklist to game, but because they reflect actual editorial standards that both readers and AI systems are increasingly able to distinguish from content without them.
4. Structure Content So It’s Easy to Parse
Clear headings, short paragraphs, genuinely useful tables, and a logical flow make content easier for AI systems to extract accurate information from — and easier for human readers to scan, which was always good practice regardless of AI. This isn’t a trick to exploit; it’s the same clarity that’s always separated well-edited content from a wall of unstructured text.
5. Build a Real Presence Beyond Your Own Site
AI systems appear to weigh a brand’s overall digital footprint, not just its own website. Genuine guest contributions to industry publications, real mentions in relevant communities, and an active, credible presence on professional platforms like LinkedIn all contribute to how much a brand is trusted and referenced — this is closer to old-fashioned reputation-building than a new SEO trick.
6. Publish Genuinely Original Information When You Can
A real survey of your own customers, an honest case study with specific numbers, or original analysis of publicly available data is far more likely to get cited than another summary of information already published elsewhere. Original data is scarce by definition, which makes it valuable precisely because most competitors are recycling the same secondary sources.
7. Don’t Neglect Technical SEO Fundamentals
Fast page speed, mobile optimization, clean site structure, and secure HTTPS still matter — AI search visibility is built on top of a technically sound site, not a replacement for having one. A brilliant article on a slow, broken site loses visibility in both traditional and AI-driven search before the content quality even gets evaluated.
Common Mistakes
- Publishing generic, surface-level content that doesn’t fully answer anything.
- Keyword stuffing, which hurts readability without the SEO benefit it once had.
- Letting content go stale — outdated information erodes trust with both readers and AI systems.
- Optimizing only for Google while ignoring how AI assistants are increasingly part of the same customer journey.
Frequently Asked Questions
Is traditional SEO still worth doing?
Yes. Traditional SEO and AI search visibility overlap significantly — depth, structure, and credibility help with both rather than requiring separate strategies.
Can a small business realistically compete here?
Yes — genuine expertise and original content matter more than company size or budget in how AI systems evaluate and cite sources.
The Bottom Line
None of these seven strategies are secret or complicated — they’re a more disciplined version of what good content strategy has always required, applied to an environment where AI systems are now part of how content gets discovered and evaluated. Businesses that were already publishing genuinely useful, well-sourced content are mostly just extending existing good habits; businesses relying on thin, generic content have more fundamental work to do.
Author
Written by Alibashi Abdirahman Olad, founder and publisher of BashiOnline.
Disclaimer
This content is for educational purposes only. Search engine and AI systems change frequently; verify current best practices before making major SEO decisions.