Which SEO Best Practices Matter Most? Applying Them to AI Search and E-commerce

The most important starting point for SEO is ensuring that content genuinely addresses users’ needs; technical optimization and authority cannot make up for content that misses the point. General websites, AI search, and e-commerce all require crawlable, clearly structured, useful content, but their priorities differ: AI search also calls for attention to original evidence, clear identification of brands and topics, and visibility beyond clicks; e-commerce requires accurate product, pricing, stock, and purchasing policy information. These are ways to improve the fundamentals, not formulas that guarantee rankings or AI citations.

Address users’ needs first, then organize keywords and page structure

Semrush treats satisfying search intent as a foundation. Rather than starting by asking how many keywords a page needs, first establish what problem readers want to solve, then make sure the headings, paragraphs, and information all serve that need.

• Use unique, concise, descriptive titles and meta descriptions for each page so readers know what to expect when they click through.
• Use related terms and synonyms naturally rather than turning the content into a keyword list.
• Use clear navigation and descriptive internal link text to help readers and crawlers find related pages.

For example, someone searching for “how to choose hiking boots” has different needs from someone checking the price of a particular pair; the former calls for buying guidance, while the latter requires direct, accurate product information. This illustrates how to organize content around search intent, not a conclusion that a particular page type will necessarily rank better.

AI search builds on SEO fundamentals, but referral traffic is not the only measure

According to Semrush’s guidance, crawlability, clear structure, topical depth, original evidence, clear entity identification, and third-party recognition may all support visibility in Google and AI search. In practice, content should clearly identify the brand, product, or topic it discusses and answer questions thoroughly; simply breaking an article into short questions and answers does not complete the optimization process.

Measurement also needs to change. The source material notes that GA4 can capture only AI visits that pass along referral information; some discoveries may lead to later branded searches, direct visits, or no clicks at all. Brand mentions, citations, share of voice, and brand demand can therefore be monitored alongside rankings and traffic, rather than treating AI referral traffic as the whole picture.

E-commerce product information should support purchasing decisions

E-commerce involves more than adding keywords to product pages. Semrush’s e-commerce recommendations include the following:

• Maintain clear product categories and internal links.
• Provide accurate product information and keep prices and availability up to date.
• Use Product and Offer structured data markup.
• Provide reviews and clear shipping and return policies.

These elements help people and systems understand the information while also addressing purchasing needs; structured data markup cannot replace complete, accurate product descriptions.

Treat best practices as a starting point and test their effectiveness

A 2024 SearchPilot article argues that SEO changes should be validated through A/B testing rather than relying solely on the promises of “best practices.” Its approach compares control pages with changed pages and reports statistical uncertainty. This reminds website operators that general guidance is worth adopting, but traffic changes after implementation cannot simply be attributed to a particular modification.