Getting Neat found on ChatGPT
Triangulated NZ search volume, July 2026. 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 42 today, with a very fixable shape: your plumbing and authority are ahead of most NZ brands, and the gap is the answer-layer content and measurement.
The detailed findings, how the scoring works, and where every number comes from are in the appendix.
This is the full picture of the demand sitting around your brand, built the way we build it for every client: keyword volumes triangulated across Google Keyword Planner, Ahrefs and SEMrush (the median of three, so no single tool's blind spot skews the model), a 56-prompt AI-search library mined from real questions people ask, and a cluster map that organises all of it into the territories a content plan can actually execute. The full workbooks are yours in The data tab; here are the headlines.
| Keyword | Keyword Planner | Ahrefs | SEMrush | Working volume | Difficulty |
|---|---|---|---|---|---|
| perfume nz | 27,100 | 9,600 | 27,100 | 27,100 | 5 |
| collagen powder nz | 3,600 | 2,300 | 3,600 | 3,600 | 1 |
| magnesium glycinate nz | 3,600 | 900 | 2,900 | 2,900 | 0 |
| dry skin moisturiser | 1,900 | 100 | 1,900 | 1,900 | 0 |
| natural deodorant nz | 1,000 | 600 | 1,000 | 1,000 | 23 |
| vitamin c serum nz | 1,000 | 450 | 1,000 | 1,000 | 0 |
| essential oils nz | 1,300 | 900 | 1,000 | 1,000 | 26 |
| mens cologne nz | 720 | 500 | 720 | 720 | 0 |
| collagen nz | 720 | 350 | 720 | 720 | 0 |
| marine collagen nz | 480 | 400 | 480 | 480 | 0 |
Top 10 of 47 terms researched; 43 of 47 reached Tier 1 confidence (all three tools agree). The basket totals ~48,400 non-branded searches a month, and it is a deliberate floor: the designer-name long tail behind your 63-scent dupe range (Versace, YSL, Billie Eilish and hundreds more) adds tens of thousands of addressable searches on top. Most terms sit under difficulty 15, which is unusually winnable. GKP + Ahrefs + SEMrush
AI engines do not invent demand, they intercept it. We built a 56-prompt library from real sources (question searches, review language, the roundups AI cites), each anchored to the triangulated volumes. 38 of the 56 already trigger a live AI answer in New Zealand, and Neat is cited in none of them.
| Real question buyers ask | Est. demand / mo | AI answer live? |
|---|---|---|
| What is the best collagen powder? | ~7,700 | Yes |
| What is the best vitamin C serum? | ~5,600 | Yes |
| Is hyaluronic acid or niacinamide better? | ~4,300 | Yes |
| What is a cheaper alternative to designer perfume? | ~2,800 | Yes |
| What does face serum actually do? | ~1,800 | Yes |
| What is magnesium glycinate good for? | ~1,700 | Yes |
| Is apple cider vinegar good for you? | ~810 | Yes |
| Are perfume dupes as good as the original? | ~420 | Yes |
A sample of the 56-prompt library, all of it in The data tab with per-prompt demand and the live-AI flag. Volumes are keyword-anchored with a conservative AI fan-out uplift, directional +/-50%. Modelled
| Territory | Demand / mo | Prompts | The play |
|---|---|---|---|
| Fragrance dupes ★ | ~465 + ~78k designer tail | 8 | A "smells like" asset per hero scent; 63 products ready to answer |
| Natural perfume & oils ★ | ~28,500 | 9 | The category head term; oils vs sprays education |
| Collagen ★ | ~5,800 | 6 | Marine vs bovine is the wedge; the NZ marine story |
| Skincare routine & serums | ~5,000 | 9 | Calm-first routine and serum guides |
| Magnesium & sleep | ~3,400 | 6 | Fastest-growing cluster, +86% year on year |
| Problem skin | ~2,900 | 6 | Barrier support is literally your brand promise |
| Lifestyle & rituals | ~1,500 | 3 | Ritual content that lifts order value |
| Natural deodorant ★ | ~1,000 | 3 | Objection content wins the AI answer here |
| Nutrition | ~640 | 4 | Refresh the existing 2025 posts |
| Brand trust ★ | branded + roundups | 2 | Get cited in the "best NZ brands" lists that omit you today |
★ = brand-strength territory, where Neat can genuinely win first. Answering the whole map takes roughly 160 content assets; the five starred territories alone take ~100. Full cluster maths in The data tab. Cluster model
Put the three layers together and price them on your own numbers. The basket gives a click pool of roughly 28,000 organic clicks a month. We deliberately cut your proven 10.6–11.5% conversion to a cautious 4% for colder, non-branded visitors, and value each new customer at what yours actually spend: ~$300 a year on skincare and wellness, ~$130 a year on fragrance Shopify. At a 20% share of each territory, here is the money on the table, on top of the ~$389k the branded channel already earns.
| Area | Demand / mo | New customers / yr | Year-one revenue |
|---|---|---|---|
| Fragrance (dupes + perfume & oils) | ~29,000 | ~1,610 | ~$210,000 |
| Wellness (collagen, magnesium, nutrition) | ~9,900 | ~550 | ~$165,000 |
| Skincare (routine + problem skin) | ~7,900 | ~440 | ~$130,000 |
| Lifestyle & rituals | ~1,500 | ~85 | ~$17,000 |
| Total | ~48,400 | ~2,690 | ~$530,000 |
Scale it to taste: a 10% share is roughly half these numbers, a 30% category-leader share roughly 1.5x (~$800,000). None of it counts the designer long tail. Modelled, plus or minus 40%
One curve: a 20% share arriving over the year, and the percentages are shares of the new ~$492K, not growth rates. You are certified by month 3 with ~10% arrived, the system is handed over at month 6 with ~35% arrived, ~70% by month 9, and all of it by month 12, where the curve ends at ~$530K run-rate. 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
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 fragrance-dupe, collagen, magnesium and skincare hubs, roughly 100 to 160 pieces across the six months, roughly half refreshing pages you already have and half net-new, all written in your own warm, women-owned, made-in-NZ voice), and authority and compounding (the roundups, reviews and community presence AI trusts). We move into each phase as your site is ready for it rather than on a stopwatch. Everything is yours to keep: the foundations, the content, the links and your AI-Ready certification.
The full breakdown, the four pillars, your time commitment and how the six months run live in The offer tab.
Traffic, orders, revenue and conversion are from Neat's own Shopify and Search Console figures shared in our working session. Search volumes triangulated across Google Keyword Planner, Ahrefs and SEMrush (NZ), 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.
Neat is a women-owned, made-in-NZ natural beauty and wellness brand: skincare, fragrance (originals and a 63-scent dupe range), collagen and magnesium wellness, and lifestyle rituals, bought by 100,000+ Kiwis. Today it is a ~$3.9M online business grown almost entirely on paid media. The foundations are good. This is growth on a proven engine, not a rescue.
| Channel | Sales / yr | Share | Read |
|---|---|---|---|
| Google Ads | $1.39M | ~36% | Strong, but rented; stops when spend stops |
| Meta (FB + IG paid) | $833K | ~21% | Converts at 1.5–2.5%, needs constant feeding |
| Email (Klaviyo) | $806K | ~21% | Your owned channel, working well |
| Organic search (all engines) | $389K | ~10% | Highest-quality traffic, smallest paid attention |
| TikTok Ads | $44K | 0.35 ROAS | $126K spent to make $44K back over the year |
Your Shopify channel report, last 12 months, NZD. Organic converts at 10.6–11.5%, on par with your best channels and about five times your paid social. Bing organic alone did ~$52K last year at a 25% conversion rate. Shopify
| Your top queries (last 3 months) | Clicks | Branded? |
|---|---|---|
| neat nz | 1,184 | Yes |
| neat | 591 | Yes |
| neat perfume | 324 | Yes |
| neat skincare | 223 | Yes |
| neat perfume nz · neat new plymouth · neat fragrance… | ~540 | All yes |
Every top query already knows you. The non-branded category, where 48,400 monthly searches sit, is almost entirely uncaptured. GSC
Here is what sits behind the 42, and who fixes each piece. It is content shape, schema and measurement, not a rebuild.
| Finding | Status | Fix |
|---|---|---|
| robots.txt welcomes AI crawlers | Ahead of most peers | Done |
| Shopify agentic-discovery feed live | Strong | Done |
| Backlink authority (DR 21, 436 ref domains) | Real asset for the category | Point it at content |
| Organization / Product / FAQ schema | Thin on the theme | Core technical fix |
| Non-branded ranking content | 151 keywords, all branded | The core content work |
| Blog freshness (22 posts, early 2025) | Stale, unanswerable shape | Refresh + cluster + schema |
| AI-visibility measurement | None yet | Baseline + monthly panel |
The sites winning your searches are big retailers, not brands.
| Who ranks in your space | NZ organic / mo | DR | Read |
|---|---|---|---|
| Chemist Warehouse | 587,902 | 66 | Retail giant, wins on range not story |
| Pure Nature | 41,222 | 43 | The local natural-category winner |
| HealthPost | 26,339 | 57 | Natural health retailer |
| PerfumeNZ | 24,843 | 41 | Fragrance retailer |
| Neat (you) | ~1,967 | 21 | Almost entirely branded traffic |
Ahrefs, New Zealand, July 2026, estimated. 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 (Ahrefs alone put this basket at ~20,600/mo; triangulated it is ~48,400), so we never rely on one source. |
| Head-term anchors | Every AI prompt is anchored to the real, measurable keyword volumes underneath it, so the prompt demand is a floor, not a guess. |
| Query fan-out uplift | One AI prompt triggers many hidden sub-searches, roughly 95% of which carry zero traditional keyword volume. We apply a conservative 1.3 to 1.6x uplift rather than guessing top-down. |
| AI answer verification | Which questions already trigger a Google AI answer, observed live in the results (they fire across your collagen, magnesium, skincare and perfume questions), not predicted. |
| Your own ground truth | Your Shopify channel figures and Search Console queries shared in the working session. Every modelled figure reconciles back to these. |
The full research behind every table here is in The data tab. Method