Be the fashion brand AI recommends
in New Zealand and Australia.

1. Executive summary

• Your NZ engine runs on the long tail, not the head terms. Of your organic revenue, $1,464,061 a year is non-branded (59% of the total, using homepage landings as the branded proxy, method in Appendix F). Yet on the measured head-term core of 222,350 searches a month you sit in striking distance rather than in the money: "dresses" at position 10.1, "cardigan" at 7.4, "linen pants" at 10.4, "maxi dress" at 18.7. Page one to two earns almost nothing; the top three earn nearly everything. GSC + GA4
• Australia is a greenfield five times the size, already plumbed in. floandfrankie.com.au carries the same catalogue, content and reviews, plus two Sydney boutiques, yet earned A$377,863 of organic revenue in the year, branded and non-branded together, against NZ's $2,480,236. On the AU head-term core of 1,085,260 searches a month you won 318 clicks all year. The authority gap is real but climbable: DR 30 with 787 AU keywords, against dissh at 7,588 and sportsgirl at 12,872. GSC + GA4 Ahrefs
• AI assistants are already selling for you, unoptimised. ChatGPT alone referred 6,280 NZ sessions and 92 transactions worth $13,945 in twelve months, plus 2,633 AU sessions, 33 transactions and A$3,884. Your Okendo reviews are server-rendered and your product schema is genuinely readable to AI crawlers, which is rare. The layer that decides who gets named is already half-built in your favour. GA4

Two markets, two pools, never added together. New Zealand first, in NZD:

And Australia, in AUD:

So the whole opportunity is two sentences. In NZ you hold 5.1% of the non-branded head-term clicks and every extra 1% is worth about $22,440 a year. In Australia you hold effectively none, and every 1% is worth about A$142,342 a year. Your branded traffic sits outside all of it, unchanged.

Built from your own measured numbers, per market: a non-branded organic conversion rate of 1.64% on an order value of $146 in NZ, which makes a non-branded click worth $2.40, and 2.18% on A$143 in Australia, A$3.12 a click. Every column is non-branded and first-order only, so it is a floor: the customer-value ladder (first-year and lifetime spend) is deliberately left out until it can be read from your Shopify customer cohorts, because GA4's cookie-based purchaser counts here are not a credible read of repeat behaviour. Modelled, plus or minus 40%

New Zealand, NZD:

Australia, AUD:

Each table is its own currency and the two are never summed. At the mid case the two together are worth roughly NZ$180,000 plus A$355,000 a year of new non-branded revenue. The NZ shares grow from measured striking distance; the AU shares are deliberately small (1% to 5% of the pool) because AU starts from zero authority. All non-branded; your branded revenue sits on top, unchanged.

Head-term volumes are the triangulated generic cores per market (median of Google Keyword Planner, SEMrush and Ahrefs, September 2026). The ~90 stocked-brand searches are a separate territory, covered in section 3, and are never counted in the money model. GKP + Ahrefs + SEMrush

2. How AI-ready you are today: the AEO scorecard

We score every brand out of 100 against our AEO Maturity Model: four pillars (Technical, Content, Authority, Measurement), each out of 25. Certified is 80 out of 100, Professional on all four, the standard we build clients to. You are at 49 today, and unusually, your hardest asset is already in place: review and product data an AI crawler can actually read.

The detailed findings, how the scoring works, and where every number comes from are in the appendix.

3. The market you are missing: search and AI

Women's fashion is a discovery-led, occasion-driven category. Shoppers search a garment, an occasion or a brand, and they now ask the same questions in two places: a search box and an AI chat. Your demand splits three ways: the generic head terms, the stocked-brand searches for the ~90 labels you carry, and the AI questions layered over both.

Volumes are the median of Google Keyword Planner, SEMrush and Ahrefs per market, September 2026. Rank is your average Google position for the exact term from each market's own Search Console over twelve months; "Not present" means the term does not appear in your named AU queries at all across the year. Where an AU rank does show, it sits on a few hundred to a couple of thousand impressions against tens of thousands for the same term in NZ, so even the sunglasses 6.0 reflects a handful of appearances, never presence. The NZ-suffixed variants often rank materially better ("maxi dress nz" at 4.2, "midi dress nz" at 3.9, "linen pants nz" at 4.1), which is exactly what striking distance looks like: Google already trusts you on the geo-qualified intent, and the generic head term is the next rung. Of the 102 NZ generic terms, 7 already fire a Google AI Overview; in Australia it is 13 of 102, including "jeans" at 40,500 searches a month. GKP + Ahrefs + SEMrush GSC Ahrefs

We built a library of 132 real questions shoppers ask AI engines across your 13 territories, anchored to the same triangulated keyword demand: an estimated 39,400 to 48,500 prompts a month in NZ and 192,100 to 236,400 in Australia, counted separately from search so nothing is double-counted. 54 of the 132 are answers you can uniquely own: stockist questions for the labels you carry, local boutique questions for your 22 stores, and trust questions about your own sizing, returns and sustainability that currently live in a help-centre widget AI crawlers cannot read. The full ranked library sits behind the data tab.

4. The opportunity, in dollars

The tables in the executive summary are built from four numbers per market, all of them yours, all non-branded, all first-order. Here is each chain in full. New Zealand:

And Australia, the same chain at five times the scale and none of the share:

Roughly one search in three survives ads, shopping carousels and AI answers as a winnable organic click. A non-branded click is worth $2.40 in NZ (1.64% conversion on a $146 order) and A$3.12 in Australia (2.18% on A$143), measured from your own GA4 with homepage landings excluded as the branded proxy. First-order value only, so every figure is a floor: the repeat purchases a fashion customer makes sit on top, uncounted until your Shopify cohorts can measure them properly. Modelled

The mid case arriving, on non-branded revenue: roughly 10% of the new revenue live by month 3, 35% by month 6, 70% by month 9, and all of it by month 12. The blue line is New Zealand in NZD and the green line is Australia in AUD; they are plotted together but never added. Hover any point for the maths. Modelled, directional

Two levers, both measured. In NZ it is mostly click-through: you already sit on page one to two across the head terms, so fixed titles, collection-page copy and answer content move you into the top three, where the clicks actually live. In Australia it is mostly presence: the same assets plus an AU authority build put you on terms where today you do not appear at all, which is why the AU cases are capped at 5% of the pool. The same assets win the AI surfaces too: the AI Overviews already firing on your category terms and the assistant referrals already converting in your store cite the pages that rank.

5. The six-month transformation

A done-for-you AI and Search transformation over six months, run through three phases and moved through as the site is ready rather than on a stopwatch. Foundations clears what blocks the engines: the truncated titles, the templated metas, the broken boutique schema, a crawlable FAQ estate for the answers trapped in your help widget, and a measurement baseline taken before anything changes. Owning your territories points the content engine your team restarted in 2026 at the 13 researched territories: collection-page copy on the head terms, the occasion and buying-guide hubs, and the stockist layer for the ~90 brands nobody else can claim, with every asset shipping to both domains at once. Authority and compounding lights up the entity layer, your 22 boutiques, your founder, the citations and placements AI engines trust, and the AU authority build. At the end of six months the workflows, the platform and the system are yours to keep and run. The full breakdown, deliverables and your time commitment live in The offer tab.

Traffic, clicks, positions and revenue are from your own Google Search Console (twelve months to 2 September 2026) and GA4 (twelve months to 4 September 2026; landing-page economics from the last 90 days), per market: floandfrankie.com with the NZ GA4 property, floandfrankie.com.au with the AU property. Search volumes triangulated across Google Keyword Planner, SEMrush and Ahrefs per market, September 2026. Competitor footprints and domain ratings from Ahrefs, 4 September 2026. AEO score from our AEO Maturity Model against a live crawl of both domains. Revenue figures are directional, modelled from your own conversion rates and order values, and NZD and AUD are never combined into one figure. Pricing is set out separately.

Appendix A: your channels and current position

You have built one of NZ's strongest multi-brand fashion retailers: 20 NZ boutiques plus two in Sydney, ~90 stocked labels, and a brand people search by name 366,446 times a year. This is growth on a proven base. The channel picture, from your own GA4, twelve months, per market.

New Zealand (NZD):

Organic search is your third-largest channel by revenue and the only major one you do not pay for per visit. The $2,480,236 blends branded and non-branded demand: split with homepage landings as the branded proxy, roughly $1,464,061 is non-branded category demand, the slice a search strategy can grow, and the remainder is branded, people who already know you. Order values sit near $146 across organic. GA4

Australia (AUD):

The A$377,863 of AU organic revenue (branded and non-branded together) is about 15% of the NZ figure before any currency conversion, from the same store and catalogue. Non-branded AU organic converts at 2.18%, higher than NZ's 1.64%, so the AU shortfall is presence, never persuasion: when Australians find you, they buy. GA4

Twelve months of Search Console, split by what kind of search it was (the named-query split covers your top 25,000 queries per market; Google withholds the rarest queries and reports them only in aggregate).

New Zealand:

Australia:

The NZ pattern is the whole strategy in one table: a 28.1% click-through when people search your name, 2.7% when they search the category. You are seen 8.25 million times a year on named category searches and chosen 225,579 times. Australia is thinner everywhere, including on your own name, where a 6.0% brand click-through says many Australians searching "flo and frankie" do not yet know which result is you. GSC

Appendix B: the scorecard in detail

Four pillars, 25 points each, scored on measured evidence from a live crawl of both domains, your own analytics and Ahrefs authority data, gathered 4 September 2026. Certified requires Professional on all four pillars and 80 or more in total, so a single weak pillar holds the whole score down.

Total 49 of 100, which places the brand at Structured. Team Empathy AEO Maturity Model

Appendix C: the demand detail

We triangulated the keyword basket across three independent sources, Google Keyword Planner, SEMrush and Ahrefs, pulled separately for NZ and AU in September 2026, taking the median so no single tool decides a number. Three additional terms ("cocktail glasses", "wine glasses", "stocking fillers") were added after a sweep of your own Search Console proved you already earn clicks on them; they carry the same three-source medians. The generic core lands at 222,350 searches a month in NZ and 1,085,260 in Australia; the stocked-brand layer (63,210 NZ, 399,370 AU) is held separately and never enters the money model.

13 clusters, 125 keywords, 132 prompts. The cluster totals reconcile exactly: the twelve generic clusters sum to the 222,350 NZ and 1,085,260 AU cores in the money model, and the stockist cluster is the separate 63,210 and 399,370 layer. Prompt demand is a directional floor-leaning band (12% chat share of the cluster's head-term anchor, with a 1.3x to 1.6x fan-out uplift), counted separately from search so nothing is double-counted. GKP + Ahrefs + SEMrush Prompt model

54 of the 132 prompts are answers you can uniquely own. Volumes are directional bands, never measured numbers; first-cycle tracking replaces them with observed mention and citation data per prompt per market. Prompt model

Appendix D: where to play, your content territories

The same demand, grouped into the territories a plan executes against. The build leans on what you already have: a live content engine publishing again since 2026, server-rendered reviews, and 22 boutiques. Every asset ships to both domains on the same day, so the AU market inherits the NZ build at zero marginal cost.

Priority weighs demand, current rank, and whether you can win it uniquely. The content requirement across the six months runs at roughly 100 to 150 pieces: collection copy, guides, FAQ answers and stockist pages, most of it net-new because the estate today is grids. The 215 existing articles get a refresh-and-connect pass rather than replacement, since the 2026 restart is already publishing well. Cluster model

Appendix E: who you are up against, and the authority play

Measured with Ahrefs on 4 September 2026, per market. Australia first, because that is where the authority gap decides the pace.

In NZ the picture is far stronger: floandfrankie.com carries DR 36, 3,425 NZ keywords, 870 of them top three, and roughly 50,950 estimated organic visits a month. The AU domain is a tenth of that footprint in a market five times the size. Ahrefs

Appendix F: where the numbers come from

• Your Google Search Console, both properties, twelve months to 2 September 2026: the top 25,000 named queries per market classified one by one, plus property totals.
• Your Google Analytics 4, the NZ, AU and roll-up properties, twelve months of channel data and 90 days of landing-page economics.
• Keyword volumes, triangulated per market across Google Keyword Planner, SEMrush and Ahrefs, September 2026, median of three.
• Authority and competitor data, Ahrefs, pulled 4 September 2026.
• Technical findings, a direct crawl of both live domains on 4 September 2026, plus Google PageSpeed Insights (CrUX field data first, lab noted as lab).

Every named query was classified into your own brand, a brand you stock, or generic category demand. For revenue, GA4 does not label sessions branded or non-branded, so we use the landing page as the proxy: organic sessions landing on the homepage are treated as branded (people who searched your name), and sessions landing anywhere else as non-branded. That is a simplification in both directions, some brand searchers land deep, some category searchers land on the homepage, and we state it rather than hide it. On that method, 41% of NZ organic revenue is branded and $1,464,061 is non-branded; in AU, 30% is branded and A$264,061 is non-branded.

The 5.1% NZ share is measured, never assumed: we matched every core keyword, plus its geo-suffixed and prefixed variants ("linen pants", "linen pants nz", "womens linen pants"), against your own classified Search Console queries and summed the clicks you actually won on them: 47,370 in NZ, 318 in AU. That is divided by each market's winnable pool (searches x 0.35, the share of searches that end in an organic click once ads, shopping carousels and AI answers take theirs).

These are first-order values. The customer-value ladder, what a customer spends in their first year and over their lifetime, is deliberately absent from this version: GA4's cookie-based purchaser counts here report 98% of buyers as first-time, which is not a credible read of repeat behaviour in fashion, so we will not price repeat purchases on it. That ladder gets added from your Shopify customer cohort reports when that access lands, and because repeat spend sits on top of everything here, every figure in this document is a floor. Getting accurate data here would be genuinely valuable.

The long tail beyond the measured core is real (your own account wins 225,579 named generic clicks a year in NZ, far beyond these terms) but it is deliberately left out of the pool, which keeps every share figure honest and the model anchored to terms with three-source volumes. Non-branded revenue in the scenario tables is the pool times the share times the click value, nothing else.

Everything above is built from your own accounts, so it is all checkable. Four quick ones: Search Console for floandfrankie.com, twelve months, should show about 967,157 clicks (the AU property about 56,708); GA4's NZ property should put Organic Search at about $2,480,236 of revenue on 16,963 transactions (branded and non-branded together); "maxi dress" in NZ Search Console should sit near average position 18.7 with "maxi dress nz" near 4.2; and Ahrefs will read floandfrankie.com.au at DR 30 against dissh.com.au at 44. The full derivation of every number, written for you or your own AI assistant to pull apart, is in the model workings file.