Frequently asked questions

The scan generates 10 real customer search queries based on your industry and location, then runs them in parallel across 6 major AI engines (ChatGPT, Perplexity, Gemini, Claude, Grok and DeepSeek). For each query on each engine, you see whether your business was recommended, only mentioned, or not found, plus who was recommended in your place. The whole process takes under 60 seconds. No account, no payment, no card required.

Most often it is one of three things. Your website does not clearly state what you do, who you serve, and where, so the engine cannot match you to a query. Your site has no FAQ pages, no schema markup, and no llms.txt, so the engine cannot extract clean answers from your content. Or you have very few external mentions (Google reviews, directory listings, press), so the engine has nothing to corroborate that you exist. The full diagnostic report tells you which of these is hurting you most.

SEO optimises for Google's search results page, where users scan blue links. AI search engines optimise for direct recommendations: the engine reads your site and your competitors' sites, decides which one fits the query best, and names a single business. The signals overlap (clear content, fast pages, structured data) but the format and the testing method are completely different. You can rank #1 on Google and still be invisible to ChatGPT.

ChatGPT, Perplexity, Gemini, Claude, Grok and DeepSeek. These cover the engines Australian, NZ, UK, US and Canadian small business customers are actually using day to day. The scan tests all 6 in parallel and the full report benchmarks your visibility across all of them.

The mechanical fixes (schema, llms.txt, meta descriptions, FAQ content) start showing up within days to a few weeks as engines re-crawl your site. The trust signals (Google reviews, external mentions, citations from other sites) take longer because you have to earn them. Plan on weeks to a couple of months to see meaningful change once you start working through the report.

No. Nobody can guarantee that and we will not pretend otherwise. AI engines control their own algorithms and change them constantly. The report tells you exactly what is hurting your visibility right now and what to fix. Implementing those fixes gives you the best possible chance of being recommended, but the engines have the final say.

The full AUD 247 report includes the executive summary, full visibility results across 6 AI engines and 10 queries, a website technical audit, a competitor benchmark of the top 3 to 5 businesses being recommended in your space, a prioritised remediation checklist with quick wins flagged, and a library of educational videos walking you through each fix. Delivered as a downloadable PDF.

Yes, significantly. AI engines use reviews as a trust signal when deciding which business to recommend. A business with a strong, recent Google review profile will tend to win the recommendation over an otherwise identical business with none. Trustpilot, industry directories and review aggregators all count. The report shows you exactly where your review profile is hurting you and which platforms to prioritise.

llms.txt is a plain-text file at the root of your website that tells AI engines what your business does, in their preferred format. Think of it as the AI equivalent of robots.txt for traditional crawlers. It is one of the cheapest and fastest changes you can make because the engines look for it explicitly when deciding what to recommend. The full report includes a ready-to-use llms.txt for your business.

Schema markup is structured data added to your website's HTML that tells engines exactly what your pages are about. For example, schema can tell an engine: this page is about a service called X, offered by a business called Y, in location Z, costing $W. Without schema, the engine has to guess from your text. With schema, there is no ambiguity. The report tells you exactly which schemas your site needs and gives you the code to add them.

One-off. Pay once, AUD 247, get the report. No subscription, no recurring billing, no automatic renewal. If you want to re-scan in 6 months to check progress, that is a separate purchase.

Yes. Pricing automatically converts for customers in New Zealand (NZD), the United Kingdom (GBP), the United States (USD) and Canada (CAD). The methodology and the engines tested are identical. Australia is our primary market because that is where most of our early customers are.

The report is written in plain English and includes the exact code snippets where code is needed. You can hand it to any web developer or virtual assistant. The quick wins (llms.txt, meta descriptions, FAQ content) are usually a few hours of work for someone non-technical. The deeper fixes are a few hours for a developer.