As businesses compete to appear in answers generated by ChatGPT, Google AI Overviews and other AI-powered search tools, an Australian IT consultant is proposing a new approach: identify the questions customers ask before optimizing the answers. Chris McIntyre, founder of Cairns IT Guy, has introduced QAEO, or Question and Answer Engine Optimisation, a framework intended to help businesses improve their visibility in AI-generated search results. The initiative combines customer-question research, direct answers, supporting evidence, structured data and recurring visibility checks.

QAEO Starts With Customer Questions, Not Keywords

McIntyre's proposed framework follows five steps: Ask, Answer, Back it up, Mark it up and Re-ask. Businesses first identify the questions customers ask AI assistants, publish straightforward answers, reinforce their credibility through trusted sources, implement appropriate structured data, and repeat the same queries monthly to measure visibility.

The approach targets a growing problem for local businesses. Traditional SEO often measures rankings, clicks and website traffic, but AI-generated answers introduce another visibility challenge: whether a business is mentioned or recommended when a customer asks a conversational question.

For example, a Cairns resident might ask an AI assistant who can install business AI tools or troubleshoot an internet connection. QAEO encourages service providers to identify those questions and make their expertise, location, services and supporting evidence easy for search systems to interpret.

McIntyre is testing the method on Cairns IT Guy and publishing a baseline. According to the announcement, Google AI Overviews and ChatGPT initially returned competing local providers for the question, "Who does AI integration in Cairns?" The company says Cairns IT Guy was absent from those initial results.

The early Bing results offered a different outcome. McIntyre reports that on October 8, 2026, Bing's AI answer listed Cairns IT Guy first among four local providers, citing copies of the company's first press release. The following day, the business reportedly ranked fourth on Bing for "cairns it support."

These results are an initial observation, not proof that QAEO caused the change. The announcement does not establish a controlled experiment isolating the effects of press coverage, indexing, ranking fluctuations or other factors. Monthly tracking across several platforms should provide a more useful picture, provided the company records changes consistently and distinguishes correlation from causation.

How QAEO Fits Into the AI SEO Market

QAEO overlaps with established practices in answer engine optimization (AEO), generative engine optimization (GEO), local SEO and digital public relations. Its distinctive element is the explicit emphasis on researching customer questions before creating content, then repeatedly testing whether AI systems identify the business.

That sequence is practical, but it is not an entirely new technical discipline. Keyword research already examines search intent, while customer research, structured data, authoritative citations and performance monitoring are familiar parts of modern SEO.

Google's own guidance reinforces the importance of these fundamentals. Its documentation says websites do not need special optimization requirements to appear in AI Overviews or AI Mode; useful, reliable content, crawlability and conventional SEO remain important. Google also cautions that structured data can help systems understand content but does not guarantee enhanced visibility.

That distinction matters for businesses considering new AI search optimization services. A framework can make existing practices easier to execute and measure, but no consultant can guarantee that ChatGPT, Gemini, Perplexity or Microsoft Copilot will recommend a particular company.

For marketing agencies and small-business owners, QAEO's strongest contribution may be its measurement discipline. Repeating identical questions each month across multiple AI search platforms could help reveal where a business appears, which competitors are cited and whether its visibility changes over time.

The next test is whether those appearances translate into qualified enquiries and revenue. AI mentions alone are an incomplete success metric; referral visits, phone calls, leads and conversions offer a more direct measure of commercial value.

Market Landscape

AI search visibility is becoming an additional consideration alongside conventional search rankings. Google AI Overviews, ChatGPT search, Perplexity, Gemini and Microsoft Copilot can surface information differently, making a business's visibility less straightforward to measure through a single ranking report.

QAEO enters a crowded field rather than replacing existing SEO disciplines. Its five-step model provides a repeatable workflow for local businesses, but its effectiveness will depend on content quality, source credibility, technical accessibility and how each platform selects information.

Google's guidance is particularly relevant: there is no special schema markup or guaranteed shortcut for appearing in generative search results. Businesses should prioritize helpful content and sound technical SEO rather than treating AI visibility as a separate algorithm that can be reliably manipulated.

Strategic Outlook

QAEO's value will depend on whether its public experiment produces repeatable results. A credible assessment would record the exact prompt, platform, date, cited sources, competitor mentions and resulting business enquiries, while acknowledging that AI-generated answers can vary between sessions.

For agencies, the framework could become a useful reporting layer within existing SEO and content marketing services. For local businesses, it offers a manageable starting point for understanding how AI assistants describe their services. Its long-term significance, however, will depend on measurable outcomes rather than a new acronym or a short-lived ranking improvement.

Top Insights

• Question-first optimization: QAEO prioritizes researching customer prompts before publishing answers, helping local businesses align content with real service discovery needs across AI search platforms.

• Cross-platform monitoring: Monthly checks across ChatGPT, Google AI Overviews, Gemini, Perplexity and Copilot could help marketers identify changes in AI-generated business recommendations.

• Early results need validation: Cairns IT Guy reports an initial Bing visibility improvement, but the available evidence does not establish that QAEO alone caused the change.

• SEO fundamentals still matter: Google's guidance emphasizes helpful content, crawlability and sound technical SEO, limiting the case for treating QAEO as a guaranteed ranking shortcut.

• Commercial outcomes are essential: Agencies should connect AI mentions to enquiries, leads and conversions, giving businesses a more meaningful measure of visibility than answer appearances alone.

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