Should I Still Focus On Google Seo Or Ai Search

• Yes, but the payoff has shifted from clicks toward being cited.
• The decline is real but it is not uniform.
• Each engine draws on the open web, but they reward different signals.
• Crawlability, indexation, internal linking, and topical authority carry over almost intact.
• Ranking first on Google no longer guarantees traffic.

Yes, but the payoff has shifted from clicks toward being cited. According to Peaceful Media, Google describes optimizing for generative AI search as still SEO. A page must first be indexed and eligible for ordinary Google Search before it can appear in AI Overviews or AI Mode. Traditional rankings therefore remain the entry ticket. The mistake is treating a ranking as the finish line, because a top result no longer guarantees a visit. According to Similarweb's clickstream data (cited in Peaceful Media), 68% of Google searches end without a click to any website. The working question for a marketing team is which pages still earn a click and which earn a citation that shapes the buyer before any click happens.

The decline is real but it is not uniform. According to Ahrefs, an AI Overview correlated with a 34.5% lower average click-through rate for the top-ranking page across 300,000 keywords. Pew Research Center found that users clicked a traditional result on 8% of pages with an AI summary.

However, the trend is changing. According to Seer Interactive, organic click-through on AI Overview queries fell for eighteen straight months. It reached 1.3% in December 2025, then recovered to 2.4% by February 2026. Specifically, queries without an AI Overview rose from 2.8% to 3.8% over the same period.

• Treat AI-answered and clean queries as separate planning groups.
• Track the gap between the two query types over time.
• Review click-through rates before changing content strategy.

Each engine draws on the open web, but they reward different signals. AI Overviews sit on top of Google's existing index, so eligibility depends on classic indexation and ranking. ChatGPT and Perplexity retrieve external pages and favour clear entities, direct answers, and sources they can verify. According to Peaceful Media's summary of Semrush and Smith Digital observations, AI platforms still rely on crawlability, topical focus, entity clarity, authoritative content, and off-site validation. A ranking in Google therefore does not transfer automatically to Perplexity, and a brand cited in ChatGPT may be absent from Google's AI Overview for the same query.

Platform behaviour changes often. Verify citation patterns in your own category before committing budget.

Crawlability, indexation, internal linking, and topical authority carry over almost intact. What changes is the unit of value. Traditional pages were built to rank for a keyword and hold a reader; answer-first pages are built so a passage can be lifted intact. Lead each section with a direct answer, keep entity names explicit, and use headings that match real questions. Structured data and llms.txt help agents parse the page, but they do not substitute for a page that a search engine can index in the first place.

• Keep the answer in the first two sentences of each section.
• Name the tools, companies, and standards precisely.
• Make sure every page is indexable before optimizing its format.

Ranking first on Google no longer guarantees traffic. According to a 2026 Schwartz Marketing Lab study, reported by PR Newswire, ranking No. 1 does not secure visits when an AI answer sits above the results. Treat search rank as a precondition and AI citation as a separate metric. A page can hold position one and still be absent from the answer a buyer reads. According to Ahrefs' analysis of 300,000 keywords, the presence of an AI Overview correlated with a 34.5% lower average click-through rate for the top-ranking page. This is why a brand can look healthy in rank reports while losing the consideration stage. Tracking both rank and citation gives marketing teams a clearer view of where visibility is actually earned.

Measuring performance across both channels means tracking two scorecards in parallel rather than blending them. The traditional scorecard covers rankings, impressions, organic clicks, and conversions from Google. The AI scorecard covers how often your brand is cited, for which queries, on which engines, and what the citing passage says. Citation Analytics across ChatGPT, Perplexity, Gemini, and Google AI Overviews can show where your brand appears in AI answers. Brand Memory can keep the facts those engines read accurate.

However, effort should be allocated by query type. Prioritise Google SEO for queries with no AI Overview and high click yield. Invest in citation-ready pages for AI-answered queries where the buyer decides before clicking.

Related guides

• AI Search vs Google SEO: Key Differences & Strategy Shifts
• Does SEO Still Matter for AI Search? What the Data Shows
• AEO or SEO First? A Decision Framework for 2026
• GenAI Search Visibility for SEO Teams: AEO Strategy Guide
• SEO for AI Search Results Ranking: AEO Strategy Guide