Guides
Practical guides to AI search visibility
How-to and diagnostic material: the checks a Perth business, marketer or SEO can run themselves, the measurements that hold up, and the ones that do not. Definitions live in the reference section; these pages are about doing the work.
Access and retrieval
Whether AI systems can reach, render and extract a site at all.
Entities and corroboration
How a business becomes identifiable and consistent across the sources AI systems read.
-
checklist
How to audit your business's entity consistency
A one-hour self-check for inconsistent business facts across your website, ABN and ASIC records, Google Business Profile, directories and old listings, with a recording template, the five common inconsistency patterns, and how to fix without creating new drift.
Updated 2026-09-09
-
explainer
Knowledge panels and Wikidata: how brand corroboration works
What a Google knowledge panel is, which sources corroborate an Australian business from registries down to directories, why Wikidata rarely applies to a local business, what can be influenced, and what corroboration looks like when it is working.
Updated 2026-09-09
-
guide
Structured data for entity clarity: Organization, Person and Service schema
Which schema.org types carry entity meaning, how to structure a JSON-LD graph with stable @id references for an Australian service business, the five errors that break entity markup, what Google documents about structured data and AI features, and what validation does not tell you.
Updated 2026-09-09
Measurement
What can and cannot be observed about AI search visibility, and how to record it.
-
guide
How to measure AI search visibility without rank tracking
Why rank tracking does not transfer to composed answers, what is observable (mentions, recommendations, citations, referrals) and what is not (impressions, query volume, share), how to set a repeated-run baseline with a fixed prompt set, and the measurement mistakes that produce false confidence.
Updated 2026-09-09
-
guide
Tracking AI assistant referral traffic in GA4
How to see sessions from ChatGPT, Gemini, Perplexity, Copilot and Claude in Google Analytics 4: the AI Assistant default channel Google defines, the hosts to watch, a regex segment and custom channel, the configurations that silently drop the data, why the numbers are a floor, and what assisted conversions can and cannot prove.
Updated 2026-09-09
Google AI Overviews
Diagnostics and expectations specific to AI Overviews and organic traffic.
-
explainer
AI Overviews and organic traffic: what to expect
What US studies measured about clicks when an AI Overview appears, which query types lose clicks first, how to audit your own exposure from Search Console, what a citation delivers, how to read traffic data without false conclusions, and why no traffic outcome can be promised.
Updated 2026-09-09
-
diagnostic
Why your pages are not appearing in AI Overviews: a diagnostic order
The causes of absence from Google AI Overviews in dependency order: the query does not trigger one, the page is not indexed or reachable, the answer is buried, entity signals are unclear, coverage is thin, corroboration is weak. What to check for each, what Google documents, and what is not fixable.
Updated 2026-09-09
Deciding and sequencing
Whether AI SEO is worth it for a business, and in what order the work happens.
-
explainer
How AI search visibility is built: ten layers in dependency order
A neutral working model of the factors behind AI search visibility, from crawler access to measurement, ordered by what depends on what. Which layers are documented by the platforms, which are inferred, and why the order decides where money is wasted.
Updated 2026-09-09
-
checklist
Is AI SEO worth it for your business? A readiness checklist
How to decide whether AI search visibility work is worth investing in now: the businesses it tends to suit, the ones it does not, what has to be in place before starting, and a six-point self-score. Written to disqualify as readily as to qualify.
Updated 2026-09-09
-
checklist
What a credible AI visibility audit examines
The five areas a credible AI visibility audit examines, in dependency order: access, entity clarity, retrievability, evidence and prompt coverage. What each check actually involves, what no audit can tell you, and the questions that separate a real audit from a relabelled report. For Perth businesses evaluating providers.
Updated 2026-09-09