Should I stop investing in Google SEO and switch to AEO?

No. Google SEO and AEO are complementary, not competing. The businesses that do best in AI search tend to also do well in Google search — the underlying signals overlap. The argument for adding AEO investment is that Google is maturing and AI search is early-stage growth. Getting positioned now costs less than getting positioned when AI search market share is larger.

Which types of businesses benefit most from AI search visibility?

Local service businesses (contractors, legal, medical, automotive), professional services (accounting, consulting, engineering), and companies in categories where personal recommendations matter. These are the query types that translate most naturally to AI recommendation format. E-commerce and software businesses see less AI-search impact at this stage.

✦ AI Visibility

How Is AI Search Different from Google Search?

Google search returns a list of links and ranks pages. AI search generates a direct answer and, for local queries, recommends specific businesses by name. The user journey is different, the ranking factors are different, and the marketing response needs to be different.

Google search is still the dominant channel for most commercial queries — 'buy running shoes online', 'plumber price near me', 'best CRM software comparison'. These high-intent transactional searches still run through Google's index and produce clicks to websites. AI search is strongest for discovery and recommendation queries: 'who is the best accountant for a small business in Edmonton?', 'what marketing agency should I use if I'm a contractor?', 'recommend a project management tool for a 10-person team'.

The implication for most businesses: you need both. Neglecting AI search optimization means you miss early-stage recommendation queries where someone is deciding whether to even consider your category. Neglecting Google means you miss the people who've already decided what they want and are choosing where to buy it. The signal sets partially overlap — reviews, structured data, and quality content help both — but the content strategy and the measurement approach differ.

Query intent

High

Google excels at transactional and navigational queries. AI search excels at discovery, comparison, and recommendation queries.

Result format

High

Google: ranked list of links. AI search: synthesized answer with (sometimes) cited sources. Users who want a recommendation often never click a Google link.

Ranking mechanism

High

Google: PageRank, content relevance, Core Web Vitals, E-E-A-T. AI: reviews, cross-source consistency, structured data, entity recognition.

How to measure

Medium

Google: impressions, clicks, CTR in Search Console. AI: prompt testing — manually querying ChatGPT, Perplexity, and Google AI Overviews for your target queries.

✦ FAQs

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How Is AI Search Different from Google Search?

Query intent

Result format

Ranking mechanism

How to measure

Questions about how is ai search different from google search?

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