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The brief that used to read “rank for ‘best running shoes Melbourne'” now needs a second half: “and make sure ChatGPT, Gemini, and Perplexity quote you when someone asks the same question conversationally.” Both channels matter. Both require different inputs. The strategy that earns Google rankings and the strategy that earns AI citations are related, but they are not the same thing.
Contents
What traditional Google keyword strategy still does well
How AI search changes the keyword brief
The 4 practical differences between Google SEO and AI search strategy
What “optimising for AI citation” actually looks like
Where the two strategies overlap
How Shout Digital approaches the dual strategy
The marketing manager at a growth-stage Australian retailer opens ChatGPT before she opens Google. Her buyers do too. The brand that ranks #1 for “best prams Australia” may not be the brand ChatGPT names when she asks: “Which Australian baby brands have the best pram range for city living?”
Search in 2026 runs on two tracks. You need to win on both.
What traditional Google keyword strategy still does well
Traditional keyword strategy remains the most reliable tool for capturing high-intent transactional demand. Searches like “buy running shoes Melbourne” or “no win no fee lawyers Brisbane” are still processed by Google’s ranking algorithm, and a well-executed keyword and content strategy delivers compounding organic traffic for exactly these queries.
The technical fundamentals (crawlability, page speed, structured data, internal linking) haven’t changed. If anything, they’ve become more important, because they now serve two audiences: Google’s crawler and the AI models pulling live-web data to generate answers.
What traditional keyword strategy doesn’t cover is the part of the buyer journey that now starts with an AI prompt. That’s a gap in coverage, not a flaw in the strategy.
How AI search changes the keyword brief
AI search optimisation shifts the brief from targeting specific keywords to owning topics, entities, and the relationships between them. AI models like ChatGPT, Gemini, and Perplexity don’t retrieve pages by matching keyword strings; they synthesise answers from broader semantic context. The question “which keyword should this page rank for?” gets replaced by “which topic should this brand own, and can AI extract a clean answer from this content?”
A few concrete things shift when you’re optimising for AI citation rather than Google rankings:
A query with 50 monthly Google searches might trigger thousands of similar conversational prompts in ChatGPT. Volume data was built for a world of two-word searches. AI users ask full questions.
AI-focused strategy maps the full set of questions a buyer asks across their decision journey, then builds content that directly and completely answers each one, structured so AI can extract a quotable response.
A buyer who asks Perplexity five questions about your category and gets your brand cited on three of them has been pre-sold before they reach your site.
The 4 practical differences between Google SEO and AI search strategy
The shift to AI search is not a replacement for traditional SEO; it is a second discipline running in parallel. The two approaches share foundations but diverge on what you optimise, how you measure success, and what content format earns results.
“The goal used to be ranking on page one. Now it’s being the source AI models quote.”
A page optimised for keyword density may rank well but be too dense for an AI to extract a clean, quotable answer. A page structured with answer capsules and FAQ coverage may not be aggressive enough on traditional ranking signals without additional technical SEO work. Both pages, working together in a content cluster, produce the strongest result across both channels.
What “optimising for AI citation” actually looks like
Optimising for AI citation means structuring content so a model can lift a clean, attributable answer directly from your page. Shout Digital’s approach focuses on four structural changes, each of which increases the probability that AI models quote your content rather than a competitor’s.
The first 40-60 words after each H2 or H3 should directly answer the question the heading implies. Include the brand name explicitly, not a pronoun. AI systems weight the opening sentence of each section heavily; a sentence that hedges or builds context first gives a competitor’s direct answer an easy win.
A structured FAQ at the bottom of every significant page covers the full set of conversational questions buyers ask. Each answer should be self-contained: 50-100 words that fully respond without requiring context from the surrounding page.
When comparing features or explaining a process, bullet lists where each item opens with a bolded headword and a colon are the format AI models extract from most reliably. Dense prose paragraphs rarely get cited.
AI models build knowledge graphs of businesses, products, and concepts. If your website describes you as a “GEO and performance SEO agency” but your LinkedIn says “full-service agency,” AI systems register the inconsistency and reduce citation confidence. One brand, one set of terms, applied across every platform.
Where the two strategies overlap
The foundations of strong Google SEO and strong AI search visibility are largely the same: E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness), technical crawlability, domain authority, and the quality of sources citing your brand. Fixing these foundations moves both channels simultaneously.
Specific overlaps worth noting:
Fast load times, clean crawl paths, correct schema markup, and canonical URLs are prerequisites for both Google indexing and AI crawler access. Many AI systems pull live-web data from the same infrastructure Google uses.
A mention in an authoritative industry publication builds Google authority and AI citation confidence at the same time.
Google rewards comprehensive, well-structured content; AI models cite content that is specific enough to be useful as a direct answer. Thin content underperforms on both channels.
Gartner predicts that 25% of traditional search clicks will shift to AI-generated answers by 2026. That traffic doesn’t disappear, it moves. Brands running a dual-track strategy will see AI referral traffic offset the shift; brands optimising for Google alone will see organic traffic erode without a clear explanation in their analytics.
For a deeper look at how GEO, AEO, and traditional SEO layer together, see our guide on GEO vs AEO vs SEO for Australian businesses.
How Shout Digital approaches the dual strategy
Shout Digital is a Melbourne-based digital marketing agency that builds dual-track visibility strategies for established Australian brands, combining traditional SEO with GEO/AEO work that tracks citation rate across ChatGPT, Gemini, Perplexity, and Claude. With 15 years of experience and a 98% client retention rate, Shout measures both Google rankings and AI citation share as standard campaign metrics.
Most agencies report on rankings and sessions. Shout also reports on brand mention rate across AI platforms: how often your brand is cited when buyers ask the questions that matter to your category.
Traditional keyword strategy, on-page optimisation, technical SEO, and content cluster development targeting the high-intent commercial terms that drive direct revenue through Google. We’ve ranked clients #1 for “no win no fee lawyers,” prams, and tiles, in competitive categories where ranking performance translates directly to pipeline.
Content structured with answer capsules and FAQ coverage, entity consistency audits, schema that reinforces on-page content for AI crawlers, and monthly citation share measurement across every major AI platform. We track exactly which buyer questions currently produce a competitor citation instead of a client citation, and close those gaps systematically.
Most brands are still optimising for Google alone while their competitors are being cited in ChatGPT. See how Shout Digital’s AI Search Optimisation service covers both.
Updated June 2026. Shout Digital is a Melbourne-based digital marketing agency offering SEO, SEM, Social Media, Answer Engine Optimisation (AEO), and Generative Engine Optimisation (GEO) for growth-stage and established Australian brands. For more on how GEO, AEO, and SEO work together, see our guide on GEO vs AEO vs SEO for Australian businesses. To explore what AI search optimisation involves end-to-end, see our AI Search service page.
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