Getting Eden Orchards found on ChatGPT
Triangulated NZ + AU search volume, July 2026. Singapore is live but excluded from the model for now. The full keyword, prompt and cluster research behind every number here lives in The data tab. GKP + Ahrefs + SEMrush
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, with an unusual and very fixable shape: the slow pillar is strong, the fast pillars are the gap.
The detailed findings, how the scoring works, and where every number comes from are in the appendix.
Cherry juice is a researched purchase with a health question behind almost every sale: will it help me sleep, will it help my gout, is it actually good for me. Buyers ask those questions in two places now, a search box and an AI chat, and the answers are being written by Healthline, health publishers and your competitors rather than the family that has grown the fruit for 30 years.
| Term | Searches / mo (NZ + AU) | Your rank now | AI answer live? |
|---|---|---|---|
| tart cherry juice | 6,100 | 5 | - |
| cherry juice | 4,200 | 7 | - |
| cherry juice benefits | 1,400 | 8 | Yes |
| sour cherry juice | 1,300 | Page 2+ (AU) | Yes |
| cherry juice for sleep (all phrasings) | 1,300 | 12 | Yes |
| blueberry juice | 930 | 5 | - |
| kiwifruit juice | 660 | 3 | Yes |
| cherry juice for gout | 250 | Page 2+ | Yes |
Search volume triangulated across Google Keyword Planner, Ahrefs and SEMrush (median of three), NZ + AU combined. Your rank is your blended 12-month average Google position from Search Console; at home you are stronger ("cherry juice nz" at 2.7), in Australia far weaker. The pattern: real positions on the commercial terms, page-one-bottom or worse on every health question, which is where the volume and the AI answers live. The full 67-term triangulation is in The data tab. GKP + Ahrefs + SEMrush GSC
Zoom out and the measured core is about 18,700 searches a month across NZ and Australia, a deliberately conservative floor before the long tail, plus roughly 6,000 AI-chat questions a month counted separately. In the AI answers themselves the pattern is simple: you win your own name and the NZ cherry-juice questions, and you are absent from the benefits, sleep, gout and best-of answers, where Healthline, the health publishers and the Australian pure-plays get named instead. The full 140-question library and cluster maths live in the appendix and The data tab.
One scope note first, so every number lines up: you earn about $539,000 a year from the organic engines, branded included (Google organic alone is $411,346 on your Shopify attribution, last non-direct-click model, 12 months; Bing, DuckDuckGo, Yahoo and the rest make up the balance). About $145,000 of that is non-branded, people searching the category rather than your name, and that is the only slice this strategy can grow, so $145K is the baseline every figure below builds on. The model runs on a deliberately conservative 5% conversion rate (your organic converts at 4.6% to 7.9% depending on attribution model) and your real $148 order value, directional at plus or minus 40%.
One curve, one case: this is the mid case arriving, and the percentages are shares of the new $216K, not growth rates. You are certified by month 3 with ~10% of the new revenue arrived, the system is handed over at month 6 with ~35% arrived ($145K baseline + $76K = the $221K the curve shows there), ~70% has arrived by month 9, and all of it by month 12, where the curve ends at $361K, exactly the mid-case run-rate in the table below. The back-loaded ramp is deliberate: content ships from the first months, and rankings and AI citations follow with a lag. Hover any point to see the maths. Modelled, directional
| Case | Organic + AI new / yr | New / mo | Run-rate (baseline + new) |
|---|---|---|---|
| Conservative | +$108,000 | ~$9,000 | ~$253,000 |
| Mid | +$216,000 | ~$18,000 | ~$361,000 |
| High | +$325,000 | ~$27,000 | ~$470,000 |
Roughly three-quarters of each case is organic search (the climb in the curve above) and one-quarter is AI search, modelled from the AI answers already live on your category's questions and the AI Assistant channel already visible in your GA4. Every figure in this table excludes repeat purchases: with your subscription base and roughly six lifetime orders per customer, repeat sits on top as a multiple of these first-order figures over the following years. Run-rate is simply your ~$145K non-branded organic baseline plus the new revenue. Modelled, plus or minus 40%
| Market | Share of measured demand | Mid-case new / yr |
|---|---|---|
| Australia | 74% | ~$160,000 |
| New Zealand | 26% | ~$56,000 |
All figures are NZD, NZ + AU combined, on your current .co.nz site. Singapore is excluded from the model and sits on top as upside. Modelled
A done-for-you AI and Search transformation over six months, built and run on our side so there is nothing for your team to learn or maintain. It moves through three phases: foundations (the schema layer, heading structure, AI-crawler access, your measurement baseline), owning your territories (the sleep and benefits hubs, the gout and other-fruit clusters, the Australian buying answers, around 100 to 150 pieces across the six months, roughly half refreshing pages you already have and half net-new, all written in your own warm, down-to-earth voice and always the compliant, referenced way), and authority and compounding (the Australian links, round-ups and community presence AI trusts, pointed at the market that is already half your revenue). We move into each phase as your site is ready for it rather than on a stopwatch. Behind it, we are building the platform you will own, exclusively for Shopify brands: by the end of your six months it is a system your team can log into and run. Everything is yours to keep: the foundations, the content, the links and your AI-Ready certification.
The full breakdown, deliverables, your time commitment and pricing live in The offer tab.
Traffic, orders, revenue and rankings are from Eden Orchards' own Google Analytics, Search Console and Shopify (attribution last 12 months, last non-direct-click model), plus the 12-month sales analysis and brand documents you supplied. Search volumes triangulated across Google Keyword Planner, Ahrefs and SEMrush (NZ + AU), July 2026. Competitor footprints and Domain Ratings from Ahrefs Site Explorer, estimated. AEO score from our AEO Maturity Model against a live crawl. Revenue figures are directional, modelled from your own conversion and order value, and are not a guarantee of results. Pricing is set out separately.
The Bignell family has grown cherries in Central Otago for more than 30 years, and noticed something before the science caught up: eat enough NZ cherries and you sleep better. That discovery became Eden Orchards, and today it is a $6.7M online business with 45,000 orders a year, a genuine subscription base, a range across cherry, blueberry, stonefruit and kiwifruit, and Australia grown to over half of revenue. The foundations are good. This is growth on a proven engine, not a rescue.
| Channel | Sales / yr | Orders | Conversion | Order value | Read |
|---|---|---|---|---|---|
| Facebook (paid) | $2,390,870 | 16,556 | 1.84% | $144 | Your biggest engine, but rented; stops when you stop paying |
| Klaviyo (email) | $1,883,314 | 12,057 | 20.8% | $156 | Superb converter, but retention, not new customers |
| Google (paid) | $935,017 | 6,675 | 6.9% | $140 | High-intent search, rented |
| Instagram (paid) | $561,233 | 3,997 | 2.04% | $140 | Volume, weak conversion |
| Google Search (organic) | $411,346 | 2,722 | 7.88% | $151 | Your best acquisition economics, and under-fed |
| Direct | $373,094 | 2,495 | 1.93% | $150 | Your brand strength showing up |
| Bing (organic) | $77,072 | 399 | 18.2% | $193 | Small but the most efficient channel in the store |
| AI Assistant (GA4) | $110 | 1 | - | - | A brand-new channel, already registering, zero optimisation |
Your Shopify attribution, last 12 months, last non-direct-click model, NZD. The organic engines combined (Google, Bing, DuckDuckGo, Yahoo, Shopify search) earn roughly $539K a year on an order value steady around $148. GA4's data-driven model puts Google organic at $315,696 with a 4.6% conversion; we model conservatively inside that range. Shopify + GA4
Over 12 months you drew 35,796 organic clicks from 1.34M impressions. Non-branded category searches are ~94% of the impressions but only ~27% of the clicks: Google shows you across the category, at positions 5 to 12, and buyers click the top three instead. The starkest single example: "cherry juice benefits", 18,748 impressions, 147 clicks, position 8. GSC
Here is what sits behind the 49, and who fixes each piece. It is content shape, schema and measurement, not a rebuild.
| Finding | Status | Fix |
|---|---|---|
| llms.txt + UCP agentic-commerce endpoints live | Ahead of most peers | Done |
| Agentic-discovery sitemap | Strong | Done |
| Benefits page, referenced (20 studies) | Real asset, wrong shape | Expand + FAQ + schema |
| Organization / Product / FAQ schema | Missing on pages checked | Core technical fix |
| Homepage H1 + heading hierarchy | Brand-only H1, broken H2/H3 | Quick on-page fix |
| Collection & product page content | Bare grids / thin | The core content work |
| AI crawlers explicitly welcomed in robots.txt | Not named (not blocked) | Quick fix |
| AI-visibility measurement | None yet | Baseline + monthly panel |
The single highest-leverage build is the answer layer: your benefits page already holds the referenced substance, it just is not shaped, marked up or expanded the way engines cite. Turning that one asset into a proper cluster is where the citation gaps below start closing.
The measured core is head and mid terms only, so the true category is larger. Your ~9,700 non-branded clicks a year are about 4% of the category's annual searches; the mid case in the money model is you reaching ~10%, with the AI questions (~6,000 a month) counted separately so nothing is double-counted. Modelled
We built a library of 140 real questions buyers ask AI engines about your category, from Google's People Also Ask, Reddit, review language and your own Search Console tail. Here is a sample, with roughly how often each comes up a month.
| Real question | Cluster | Est. monthly volume |
|---|---|---|
| What are the benefits of tart cherry juice? | Benefits | ~700 |
| Does cherry juice actually help you sleep? | Sleep | ~600 |
| What are the benefits of blueberry juice? | Other fruits | ~500 |
| How much tart cherry juice should I drink for sleep? | Sleep | ~450 |
| How much cherry juice should I drink a day? | Daily use | ~400 |
| Is cherry juice better than melatonin supplements? | Sleep | ~300 |
| Is cherry juice good for gout? | Gout | ~250 |
| Why do New Zealand cherries have more melatonin? | Provenance | ~150 |
A sample of the 140-question library, all of it in The data tab with per-question volume, priority and ownability. Volumes are directional floors (head-term anchor plus fan-out uplift). 129 of the 140 are questions Eden can uniquely or credibly own. Directional
And here is who the AI answers name today, cluster by cluster, versus where you show up.
| Prompt cluster | Cited today | Eden? |
|---|---|---|
| Your brand + NZ cherry juice | Eden Orchards, your stockists | Wins |
| Benefits & antioxidants | Healthline, Medical News Today, health media | Absent |
| Sleep & melatonin | Sleep publishers, Healthline, Reddit | Absent |
| Gout & inflammation | Health media, arthritis sites | Absent |
| Best cherry juice (Australia) | Mt Wilder, Australian Natural Drinks, round-ups | Absent |
| NZ-grown, family, higher-melatonin provenance | No clear owner | Open lane |
The same demand, grouped into the territories a plan executes against, each scored on how much of it you can realistically own. Priority weighs demand, whether AI is live, and whether you can win it uniquely.
| Territory | Coverage today | Demand | AI | Priority /5 | What we build |
|---|---|---|---|---|---|
| Sleep & melatonin | Benefits-page section only | Med + AI | Yes | 5 | The moat cluster: dosage, timing, kids, vs melatonin supplements, and the NZ higher-melatonin story no Australian rival can copy. Sleep is your stated number-one repeat-purchase driver. |
| Benefits & antioxidants | Strong page, wrong shape | High | Yes | 5 | Expand the 20-reference benefits page into a cluster with FAQ blocks and answer-first structure. One term alone carries 18,700 impressions a year at position 8. |
| Choosing & buying (esp. Australia) | Product pages, thin | High | Some | 5 | The commercial engine: best-of and comparison answers (tart vs sweet, concentrate vs fresh, the AU best-of), optimised collection and product pages, AUD clarity. |
| Blueberry, kiwifruit & stonefruit | Products only | Med | Yes | 4 | A quarter of your units with almost no answer content. Blueberry (brain, eyes), kiwifruit (digestion, AI answer already firing), stonefruit; launch content for blackberry. |
| Gout, arthritis & inflammation | Benefits-page section only | Low + AI | Yes | 4 | Small volume, outsized value: sufferers with a recurring problem become subscribers. The referenced gout hub wins citations Healthline holds today. |
| How to drink it (dosage, kids, daily) | How-to page exists | Med + AI | Yes | 4 | The daily-ritual answers (how much, when, kids, pregnancy, sugar) that turn interest into a habit and the habit into the subscription. |
| NZ provenance & quality | About page + one strong blog | AI + brand | Some | 4 | The trust layer AI rewards: the Bignell story, Central Otago sun, 2kg a bottle, glass bottles, entity schema so AI knows exactly who Eden is. |
| Recovery & sport | None | Low + AI | Yes | 3 | The evidence-backed DOMS and marathon-recovery story; a younger secondary audience and natural digital-PR territory. |
Priority is a 1 to 5 score, where 5 means lead with it now; it is not a count of pieces. Content requirement: roughly 50 to 70 pieces to own the core (sleep, benefits, buying, other fruits), and 100 to 150 over the six months for full coverage. Unusually, about half of this is refresh: your benefits page, product and collection pages, how-to-drink and stockist pages all exist and need the answer shape and schema, and the rest is net-new. The full cluster maths is in The data tab. Cluster model
| Brand (Australia) | Organic keywords | Top-3 | Organic visits / mo | DR | Read |
|---|---|---|---|---|---|
| Bickford's | 346 | 104 | ~4,500 | - | Retail incumbent, cherry is one line of many |
| Mt Wilder Berries | 129 | 60 | ~1,800 | 11 | Organic tart cherry pure-play, content-forward |
| Australian Natural Drinks | 115 | 43 | ~500 | 12 | Cherry + herbs, runs a benefits blog |
| Eden Orchards | 29 | 18 | ~680 | 26 | Double their authority, a quarter of their rankings |
Ahrefs, Australia, July 2026, estimated. At home the picture flips: you rank on 112 NZ keywords with ~1,900 visits a month, though Barker's (743 keywords) shows what a content-led NZ incumbent looks like as it enters your category. Ahrefs Site Explorer
| Source | What it provides |
|---|---|
| Keyword volumes, triangulated | Google Keyword Planner, SEMrush and Ahrefs, taken as the median of three, plus keyword difficulty. Single tools undercount NZ badly, and Google merges close variants (sour into tart cherry juice), so we never rely on one source. |
| Head-term anchors | Every AI prompt is anchored to the real, measurable keyword volumes of the search terms that sit underneath it. The anchor is the floor of what the prompt is worth, so nothing in the model rests on a guess. |
| Query fan-out uplift | One AI prompt triggers many hidden sub-searches inside the engine, and roughly 95% of those carry zero traditional keyword volume. We apply a conservative 1.3 to 1.6x uplift to the anchor rather than guessing top-down, which is why our estimates are floors, not inflation. |
| AI answer verification | Which questions already trigger a Google AI answer, verified in the live results (they fire across the benefits, sleep, gout and kiwifruit questions in your category), and which brands get named. Every "AI live" flag in this document and the workbook is observed, not predicted. |
| Citation tracking | A fixed panel of your priority category questions, run monthly across ChatGPT, Claude, Perplexity and Google AI Overviews, logging exactly which brands get named. The panel is confirmed with you at kick-off and the baseline is taken in week one, so every month is measured against day zero. |
| Your own ground truth | Search Console, GA4 and your Shopify attribution (including the AI Assistant channel already visible in GA4), plus your own 12-month sales analysis and brand documents. Every modelled figure reconciles back to these actuals. |
Measurement runs in our own platform, built specifically for Shopify brands, so the dashboard, the data and the method are yours to keep, not rented from a third-party tool. The full research behind every table here is in The data tab. Method