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 $21,196 a year in gross revenue ($18,186 net of returns) and brings about 57 new customers worth $20,724 gross over their lives ($17,782 net). In Australia you hold effectively none of the non-branded head-term clicks, and every 1% is worth about A$81,658 a year gross (A$68,103 net), with about 403 new customers worth A$95,744 gross over their lives (A$79,851 net). Your branded traffic sits outside all of it, unchanged.

Every input below is yours: the conversion rates, order values and repeat behaviour are verified against Flo & Frankie's own Shopify data per market (September 2026). The chain is short, and the tables lead with gross, the figure before returns, because that is the basis brands compare against ad spend; the net figure, with fashion returns removed, is stated alongside every headline. Clicks become orders at your Shopify search-traffic conversion rate, 1.74% in NZ and 1.32% in Australia, measured over twelve months. Orders become year-one revenue at your order value: gross $130.44 in NZ and A$135.72 in Australia, or net of returns $111.92 and A$113.19 once the 14.2% of NZ revenue and 16.6% of AU revenue that comes back is out. Year-one revenue is blended: it includes the repeat orders customers place inside the year. The share of orders that are first orders, 35% in NZ and 67% in Australia, then counts the new customers the traffic wins, and the last column prices only those new customers over their lives: gross $364.40 each in NZ (what your 2022 cohorts have already spent at roughly four years, still climbing, so a floor) and A$237.51 in Australia (their gross first order times 1.75, AU's own measured repeat behaviour rather than NZ's), or $312.66 and A$198.08 net of returns. Because the lifetime column prices only new customers, and the year-one column prices the year's orders, no repeat dollar is ever counted twice. Shopify, verified per market, September 2026 Modelled

New Zealand, NZD:

Gross is the figure before returns, the basis used for a return-on-ad-spend comparison. Net of your 14.2% NZ return rate, the non-branded mid case is $237,739 of year-one revenue and $232,448 of lifetime value.

Australia, AUD:

Gross is before returns, the return-on-ad-spend basis. Net of your 16.6% AU return rate, the non-branded mid case is A$170,257 of year-one revenue and A$199,626 of lifetime value.

Read every column as non-branded value created per year of running at that pace, in that table's own currency; the two tables are never summed, and no NZD is ever added to an AUD. Both value columns lead with gross, the figure before returns that brands compare against ad spend, with the net figure stated alongside. Year-one revenue is blended, so it includes the repeat orders placed inside the year; the lifetime column prices only the new customers in the column beside it, never the blended revenue, which is what keeps repeat orders from being counted twice. The two value columns are two lenses on the same growth, what the traffic banks inside the year and what the customers it wins are worth over their lives, and they are never added together. The NZ mid case adds +$169,569 a year of gross non-branded revenue over today (+$145,490 net of returns, +74,710 clicks / yr), and the 743 new customers a year it brings are worth +$165,796 more in gross lifetime value (+$142,252 net); the conservative and high cases add +$84,784 and +$275,549 of gross revenue (+37,355 and +121,403 clicks / yr). The AU mid case adds +A$203,575 of gross non-branded revenue (+A$169,782 net, +113,634 clicks / yr), with 1,008 new customers worth +A$238,692 more in gross lifetime value (+A$199,069 net); conservative and high add +A$81,088 and +A$407,720 gross (+45,263 and +227,587 clicks / yr). NZ gross lifetime value is priced at the $364.40 your 2022 cohorts have already spent and are still adding to, so that column is a floor, and the money arrives over each customer's life rather than inside year one. 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 59 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 verified against your own Shopify data: clicks become orders at your search-traffic conversion rate, orders become year-one revenue (gross, with net stated alongside) at your order value, and your first-order share counts the new customers whose lifetime the last column prices. Here is each click 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. From there the chain runs on your own verified per-market numbers: clicks convert at your Shopify search-traffic rate (1.74% in NZ, 1.32% in Australia, twelve months), each order carries your order value (gross $130.44 in NZ, A$135.72 in Australia, or net of returns $111.92 and A$113.19 once the 14.2% and 16.6% that comes back is out), and 35% of NZ orders and 67% of AU orders are first orders, which is what counts the new customers. Those new customers are then worth $364.40 gross over their lives in NZ ($312.66 net; your 2022 cohorts' spend so far) and A$237.51 gross in Australia (A$198.08 net; gross first order times 1.75, AU's own repeat behaviour). Shopify, verified per market, September 2026 Modelled

Each chart is the mid-case row of its table arriving: 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 two lines are the two gross value columns, year-one revenue (blended, before returns) and the lifetime value of the new customers acquired at that pace, so each chart's month-12 points equal its table's mid gross row exactly. New Zealand is charted in NZD and Australia in AUD, on separate charts, because the two currencies are never added. Hover any point for the maths, including the net-of-returns figure. 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 and positions are from your own Google Search Console (twelve months to 2 September 2026) and GA4 (twelve months to 4 September 2026), 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. Conversion rates, net order values and repeat behaviour verified against Flo & Frankie's own Shopify data per market (September 2026), with the customer cohort analysis read directly in your admin. AEO score from our AEO Maturity Model against a live crawl of both domains. Revenue figures are directional, modelled from those verified inputs, 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. GA4's revenue figures run hot against Shopify's ground truth in the way attribution tools typically do, which is why the money model prices orders from your Shopify net order values instead. 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. The Australian relationship is young in every direction: AU search traffic converts at 1.32% against NZ's 1.74%, and 89% of your AU customers bought from you for the first time this year, repeating at roughly half the NZ rate. What AU already has is the basket, a net order of NZ$138.83 against NZ's $111.92 before conversion. That combination is what an immature market looks like, shoppers who have found you once but have not yet learned to come back, and it is exactly what presence, content and authority change. The opportunity is not that AU customers are better today; it is that almost everything about the AU relationship is still ahead of you. GA4 Shopify, verified per market, September 2026

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 59 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, plus the homepage-landing split used to separate branded from non-branded revenue.
• Your Shopify data, per market: store totals and the customer cohort analysis read directly in your admin on 7 September 2026 (twelve months, 12 August 2025 to 12 August 2026, whole store in NZD), and the per-market search-traffic conversion rates, net order values, returns and repeat behaviour verified against your own Shopify reporting with your team in September 2026. These verified per-market figures are what the money model runs on.
• 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).

Clicks are turned into money with two per-market inputs, both verified against your own Shopify reporting in September 2026. The conversion rate is your Shopify search-traffic conversion rate over twelve months: head-term organic clicks are search traffic, so the search-traffic rate is the right proxy, and a full year of it removes seasonal distortion. Every revenue figure is shown on two bases. Gross is the order value before returns, the basis brands use when they compare revenue against ad spend. Net removes fashion returns (14.2% of NZ revenue, 16.6% of AU), so the gross order value grosses up the net one by that return rate: $111.92 net becomes $130.44 gross in NZ, and A$113.19 net becomes A$135.72 gross in AU. The tables lead with gross and state net alongside every headline.

Clicks times the conversion rate gives orders; orders times the order value gives year-one revenue, gross or net depending on which order value is used, a blended figure that includes the repeat orders placed inside the year. Orders times the first-order share gives new customers, and only those new customers carry the lifetime column. The AU first-order share is arithmetic from your own verified figures: 89% of AU customers bought for the first time this year, at 1.33 orders per customer, and 0.89 divided by 1.33 is 67%. AU inputs that arrived in NZD were converted at 0.8153 AUD per NZD (September 2026).

New Zealand is priced straight from Shopify's customer cohort analysis, metric "amount spent per customer", cumulative to date, first-order cohort definition, monthly interval. Your September 2025 cohort (3,482 customers) has spent $232 each at 11 to 12 months old, against a $139.90 average first order across the last twelve months of cohorts (52,700 customers). Your 2022 cohorts (15,700 customers) have reached $364.40 each at roughly four years, one-time buyers included, per-cohort range $292 to $433, and the number is still climbing, so the model's NZ lifetime value per new customer is a floor rather than a ceiling.

Australia is deliberately priced on AU's own repeat behaviour, never NZ's: your AU customers repeat at roughly half the NZ rate today, so an AU new customer is worth their A$135.72 gross first order times 1.75 over their life, which is A$237.51 gross, or A$198.08 net of returns. That conservatism cuts the AU lifetime column roughly in half against a whole-store assumption, and it is also the growth story: as the AU relationship matures toward NZ's repeat behaviour, every one of those customers is worth more than this model gives them credit for. Two cross-checks anchor the model to the same Shopify read. First, scale: Shopify records NZD $17,743,903 of total sales in the twelve months to 12 August 2026 (up 2% on the prior year) on 134,534 orders at a $134.37 average order value, whole store, so GA4's channel figures (NZ $16.75M plus A$3.48M in AU) overstate against the Shopify ground truth in the way GA4 attribution typically does, running roughly 24% hot on order value, and every modelled figure in this document stays anchored to your verified Shopify inputs rather than GA4's totals. Second, repeat behaviour: Shopify's true 49.54% returning customer rate confirms that GA4's cookie-based read (98% of purchasers reported as first-time) was never a credible base for repeat value, which is why customer value is priced from your Shopify data and not from GA4. Shopify, verified per market, September 2026

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. Year-one revenue in the scenario tables is the pool times the share times the conversion rate times the order value (gross or net), nothing else, and the lifetime column is the new customers that traffic wins, times the per-market lifetime value above.

Everything above is built from your own accounts, so it is all checkable. Five 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; Ahrefs will read floandfrankie.com.au at DR 30 against dissh.com.au at 44; and your own Shopify admin, twelve months to 12 August 2026, should show about NZD $17,743,903 of total sales on 134,534 orders with a 49.54% returning customer rate, and the customer cohort analysis ("amount spent per customer", cumulative) should read $139.90 at month zero across the last twelve months of cohorts, $232 for the September 2025 cohort, and $364.40 for the 2022 cohort year. The per-market conversion rates, net order values and repeat figures are your own team's Shopify reads (September 2026), so they check against the same reports they came from. The full derivation of every number, written for you or your own AI assistant to pull apart, is in the model workings file.