AI

Which AI platforms should Australian brands optimise for first?

Google's AI surfaces come first, ChatGPT second, then Gemini, with Perplexity and Claude as monitoring targets. The priority order for Australian brands, what each of the five platforms rewards, and how to measure visibility across all of them.

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Daniel Curran
Senior Writer
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June 11, 2026
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7 Minutes
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How fragmented is the AI answer market in 2026?

OpenAI reported 900 million weekly ChatGPT users in February 2026, the Gemini app crossed 900 million monthly users by May on Alphabet's own figures, and Google's AI Overviews reach 2.5 billion people every month. Perplexity and Claude hold smaller audiences that skew toward research-heavy queries and are growing quickly from that base. Five answer engines now stand between Australian brands and their customers, and no single company holds the gate anymore.

Share is moving as fast as the totals. Similarweb figures show ChatGPT's slice of web traffic to generative AI tools falling from 77 per cent to 57 per cent in twelve months, while AI Mode passed 1 billion monthly users within a year of launch with query volume doubling every quarter. SISTRIX data from March 2026 puts the click-through rate at position one at 11 per cent, down from 27, with 60 per cent of Google queries ending without a click at all.

Bushnote's view is that fragmentation rewards the prepared. A competitor that optimises only for Google leaves four other doors unattended, and the brands that map all five surfaces early will hold citation positions that get expensive to dislodge later.

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What does each AI platform reward?

PlatformScaleWhat the evidence shows
Google AI Overviews and AI Mode2.5 billion and 1 billion monthly users (Google, I/O 2026)Google describes both as built on Search's index and ranking systems, so existing search signals carry over
ChatGPT900 million weekly users (OpenAI, February 2026)OpenAI documents OAI-SearchBot crawl access as the path into ChatGPT search results, with GPTBot covering training
Gemini app900 million monthly users (Alphabet earnings figures)Gemini draws on Google Search grounding, so Google visibility flows through (Google documentation)
PerplexitySmaller, research-heavy audienceThe BBC legal threat and Cloudflare crawler dispute reported by Press Gazette show crawler access decides what it retrieves
ClaudeSmaller, fast-growing audienceStanford HAI measured it as the most conservative citer, naming BBC News in zero per cent of audited answers

Google's AI surfaces reward what strong SEO already builds. AI Overviews and AI Mode draw on the classic index, so schema markup, passage-level structure and entity consistency carry across directly, and ads inside AI Overviews make the organic citation the position worth defending. Agentic booking now covers local services and experiences as well, so live pricing and bookable inventory join content quality on the readiness list.

ChatGPT rewards crawl access and corroboration. OpenAI documents OAI-SearchBot as the crawler that governs inclusion in ChatGPT search, with GPTBot covering model training, so a brand needs both cleared in robots.txt. Beyond crawl access, OpenAI's models lean on licensed sources and the open web, which makes consistent facts across every page and third-party coverage that says the same thing the other half of the job. OpenAI also switched its advertising pilot on for Australian users on 17 April, with dating, health, financial services and politics excluded, so for those categories the organic answer remains the only placement money cannot buy.

The Gemini app rides Google's existing plumbing, so Knowledge Graph alignment and a clean Google Business Profile do most of the work. Perplexity lives and dies on live crawling. Press Gazette reported that the BBC threatened to sue Perplexity over the use of its content, and that Cloudflare accused the company of using stealth crawlers, to which Perplexity insisted it "respects robots.txt directives". The episode carries the lesson for everyone else: crawl permissions decide presence, and a blocked crawler means a blank space where your brand could be.

Claude sits at the conservative end of citation behaviour. A Stanford HAI audit found Claude 4.5 Sonnet cited BBC News in none of its responses across the test period while Grok 4 cited it in 28.5 per cent, which reflects licensing compliance as much as retrieval design. Verifiable, well-sourced reference content is what earns a mention there.

Where should an Australian brand start?

Bushnote's prioritisation advice runs in a fixed order for most Australian brands. Google's AI surfaces come first, where the reach sits and where existing SEO equity converts fastest. ChatGPT comes second, carrying the deepest high-intent research sessions and now an advertising layer as well. The Gemini app comes third at little extra cost, since the Google work feeds it. Perplexity and Claude start as monitoring targets, promoted to active optimisation once the first three are won.

Buyer behaviour bends that order at the edges. A local consumer brand lives and dies on Google's surfaces and can defer the rest for a quarter. A B2B software brand should weight ChatGPT and Perplexity higher, where buyers run long comparison sessions before a shortlist ever forms. A consumer lender, locked out of ChatGPT's ad pilot by the financial services exclusion, should spend the quarter on Google surfaces and organic ChatGPT citations instead, while a national retailer with thin schema should fix the Google foundation first and let Gemini inherit the result.

We ranked the local specialists in our guide to the top AI search optimisation agencies in Australia for 2026, and our June briefing on the fragmenting answer market carries the month's platform numbers in full.

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What stays the same across every platform?

Every platform shares one foundation, and that foundation is machine readability. Consistent entity facts across every page, schema markup that matches the visible content, answer-first page structure, open crawl paths, and citations from sources the models already trust. IPPR research found journalism made up 40 per cent of the sources in AI answers and government websites 23 per cent, with citations concentrated in a narrow range of outlets, so earned coverage in trusted Australian publications feeds every assistant at once.

Entity consistency deserves its own pass in that audit. Your legal name, address, pricing, founding date and product descriptions should read identically on your site, your Google Business Profile, your LinkedIn page and every directory that mentions you, since an assistant that finds three versions of a fact tends to cite the brand that publishes one. Our guide on how to write content for AI search engines works through the page-level structure in detail.

How do you measure AI visibility across platforms?

Semafor reports that startups now run thousands of prompts a day to track how AI models describe client brands, and the practice has hardened into an industry of its own. A workable version for one brand needs a fixed prompt set for your category, run monthly across Google's AI surfaces, ChatGPT, Gemini and Perplexity, with named citations logged each time.

Log four things for every prompt: whether the brand is named, where it sits in the answer, how the description reads, and which page earns the link. Pair the prompt log with referral analytics, where assistant traffic arrives under its own referrers, and watch branded search volume as the lagging indicator of answer exposure. Re-test after every major model release, since a default-model swap can reshuffle citations overnight. June alone holds Gemini 3.5 Pro, slated for general availability this month, and a rumoured GPT-5.6 that prediction markets price as more likely than not before 30 June.

Five answer engines now decide who gets found: Google's AI surfaces, ChatGPT, the Gemini app, Perplexity and Claude. Google comes first for Australian brands, ChatGPT second, and one machine-readable foundation feeds the rest, with monthly prompt benchmarking closing the loop.

Key Takeaways

  1. Five answer engines now sit between Australian brands and customers: Google's AI surfaces, ChatGPT, the Gemini app, Perplexity and Claude.
  2. Google's AI surfaces come first in the priority order, with ChatGPT second, Gemini third, and Perplexity and Claude as monitoring targets.
  3. Each platform rewards different levers, from schema and entity consistency on Google to crawl access on ChatGPT and Perplexity.
  4. IPPR research shows AI answers concentrate citations in a narrow range of trusted sources, so earned coverage feeds every assistant at once.
  5. Visibility benchmarking needs a fixed prompt set run monthly and re-tested after every major model release.

Frequently Asked Questions

Which AI platform should a brand optimise for first?

Google's AI surfaces should come first for most Australian brands, since AI Overviews reach 2.5 billion people a month and existing SEO equity converts to AI Mode citations fastest. ChatGPT comes second for high-intent research, the Gemini app third, and Perplexity and Claude start as monitoring targets.

Is optimising for ChatGPT different from SEO?

ChatGPT optimisation overlaps heavily with SEO but adds its own levers: crawl access for OpenAI's OAI-SearchBot, which OpenAI documents as governing ChatGPT search inclusion while GPTBot covers model training, plus consistent brand facts across every page and corroborating third-party coverage. ChatGPT also runs an advertising pilot in Australia, although dating, health, financial services and politics are excluded categories.

Do Perplexity and Claude matter for Australian brands?

Perplexity and Claude hold smaller audiences than Google or ChatGPT but skew toward research-heavy queries, so they matter most for considered purchases and B2B categories. Both reward crawlable, verifiable, well-sourced content, and most brands should monitor them monthly before investing in active optimisation.

Does one piece of content work across all AI platforms?

One machine-readable foundation serves every AI platform: consistent entity facts, schema markup that matches visible content, answer-first page structure, open crawl paths and citations from trusted sources. Distribution then differs by platform, since crawl permissions and licensing deals decide where that content actually surfaces.

How often should AI search visibility be re-tested?

AI visibility should be benchmarked monthly with a fixed prompt set run across Google's AI surfaces, ChatGPT, Gemini and Perplexity, logging whether the brand is named, its position, the description and the cited page. Re-testing after every major model release matters, since a default-model change can reshuffle citations overnight.

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