Getting your brands found on ChatGPT
The model below runs on SheShedz, the brand with the funnel history to measure; Trekk and Aura are sized separately in section 4.
So the whole opportunity is one sentence: SheShedz holds 27.8% of the non-branded organic clicks in its category, and every extra 1% is worth about A$18,593 a year in closed deals. You already hold the joint-highest Domain Rating in the category and more than a quarter of its winnable clicks; the play is pushing a strong share towards a dominant one while the category's authority bar is still low.
Built on your own numbers: each organic click is worth a measured A$12.56 in closed-won revenue to SheShed (your HubSpot closed-won divided by the search clicks that produced it puts it at $13.25, and the same revenue over GA4 organic sessions puts it at $11.86; the model takes the midpoint). The full derivation is in section 4. Every column below is non-branded, closed-won revenue at that click value, and your 70-day sales cycle means clicks won today land as revenue about a quarter later. Modelled on measured inputs
| Case | Share of the non-branded market | Non-branded clicks / yr | Non-branded revenue / yr | New revenue / yr |
|---|---|---|---|---|
| Today | 27.8% | 41,219 (3,435 / mo) | $517,711 | |
| Conservative | 33.0% | 48,851 (4,071 / mo) | $613,569 | +$95,858 |
| Mid | 42.0% | 62,173 (5,181 / mo) | $780,893 | +$263,182 |
| High | 52.0% | 76,977 (6,415 / mo) | $966,831 | +$449,120 |
All figures AUD, ex GST, matching your HubSpot reporting. Trekk's own smaller model (section 4) adds +$8,598 a year at its mid case, taking the combined group mid case to +$271,780 a year, and Aura is deliberately not modelled until its tracking exists. Your branded traffic and your walk-in, phone and referral revenue sit on top of everything here, unchanged.
Triangulated AU search volume per brand's lanes, August 2026. The full keyword, prompt and cluster research behind every number here lives in The data tab. GKP + 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 brands to. Each brand gets its own card, because they are in genuinely different places.
The detailed findings, how the scoring works, and where every number comes from are in the appendix.
A backyard building is a researched, high-ticket, 70-day decision. Your buyers ask the same questions in two places now, a search box and an AI chat, and the group that answers them wins both. Across the 125 terms we measured, folded to 91 head-term groups, the demand across all three brands' lanes is 66,120 searches a month in Australia, and SheShedz already appears on most of it.
| Term | Searches / mo (AU) | Your rank now | Territory |
|---|---|---|---|
| garden shed | 22,600 | 21.3 | Garden sheds |
| log cabin | 4,500 | 8.4 | Cabins |
| shed kits | 4,400 | 21.2 | Garden sheds |
| kit homes australia | 3,000 | Page 5+ | Granny flats & tiny homes |
| she shed | 2,750 | 8.2 | She shed |
| office pod | 2,000 | Not ranking | Studios & offices |
| pool house | 1,600 | 6.1 | Pool houses & cabanas |
| prefab granny flat | 1,600 | 6.5 | Granny flats & tiny homes |
| granny flat prices | 1,450 | Page 5+ | Granny flats & tiny homes |
| potting shed | 1,300 | 6.9 | Garden sheds |
| pool cabana | 1,150 | 7.4 | Pool houses & cabanas |
| timber garden sheds | 1,090 | 12.9 (Trekk) | Timber sheds |
| backyard studio | 1,000 | 17.9 | Studios & offices |
| hairdressing sheds | 520 | 8.4 | Business in a shed |
Search volume triangulated across Google Keyword Planner and SEMrush (median), Australia, August 2026; Ahrefs joins as the third source within the week and any working volume that moves is updated in The data tab, along with live AI-answer flags per term. Your rank is the brand's current average Google position from its own Search Console (SheShedz unless marked Trekk). The pattern is one story everywhere: on page one or two, and not in the top three, and at these volumes the difference between position 8 and position 2 is the whole opportunity. GKP + SEMrush GSC
On the AI side we built a library of 82 real questions people ask AI engines about your categories, each anchored to measured search demand, your own Search Console queries, your own published FAQ content, and the questions behind the head terms. 79 of the 82 are questions the group can uniquely own, across all three brands. The full library, with per-question demand estimates, is in the appendix and The data tab.
The table in the executive summary is built from four numbers, all of them yours, and all of them non-branded. Here is the chain in full, for SheShedz first.
Roughly one search in five survives ads, map packs and AI answers as a winnable organic click, and SheShedz already takes better than one in four of those. The pool is measured from the 91-term core only; the long tail beyond it is real, your own account proves it with 24,621 distinct non-branded queries and around 42,700 anonymised clicks over the same twelve months, and it is deliberately left out of the model. Modelled
Each organic click is worth A$12.56 in closed-won revenue to SheShed. The figure is funnel-measured two ways from your own systems: your HubSpot's A$268,968 of organic-Google closed-won revenue in the rolling 90 days divided by the 20,299 search clicks that produced it gives $13.25, and the same revenue over your 22,671 GA4 organic sessions gives $11.86. The two agree within 12%, and the model multiplies every case by their midpoint.
That is the whole model: win more of the 148,032 clicks.
The mid case arriving, on SheShedz's modelled non-branded revenue: roughly 10% of the new revenue live by month 3, 35% by month 6, 70% by month 9, all of it by month 12, ending at the $780,893 modelled run-rate. Because your sales cycle averages 70 days, revenue lands about a quarter behind the clicks that create it. On the live page, hover any point for the maths. Your branded, referral, walk-in and phone revenue sits on top the whole way. Modelled, directional
Trekk gets its own smaller table, on its own measured value: GA4 records A$22,931 of organic revenue on 2,044 organic sessions in 90 days, A$11.21 a click, and that is a floor, because your phone orders and the Bunnings and Mitre 10 wholesale channel never touch the website's revenue tracking. The pool is Trekk's timber-shed lane; the garden-shed generics are counted in the SheShedz pool so nothing is double-counted.
| Case | Share of the timber-shed pool | Non-branded clicks / yr | Non-branded revenue / yr | New revenue / yr |
|---|---|---|---|---|
| Today | 3.0% | 250 | $2,802 | |
| Conservative | 6.0% | 508 | $5,695 | +$2,892 |
| Mid | 12.0% | 1,017 | $11,401 | +$8,598 |
| High | 18.0% | 1,525 | $17,095 | +$14,293 |
The dollars are small because the site is nine weeks old in its current form; the striking-distance positions are the point. Every timber shed term already sits on page two, and page two to top three is the cheapest ranking move in search. The B2C order line is already running at 173% to 277% of its weekly goal in the last fortnight of your own scorecard. GA4 Weekly scorecard
Two levers, both measured. Click-through on the impressions you already earn: more than 60 SheShedz terms and 35 Trekk terms sit at positions 4 to 20 with real impressions, and moving them into the top three multiplies their clicks several times over. And new impressions in the lanes where you have product but no ranking: office pod (2,000 searches a month, not ranking), kit homes australia (3,000 a month, page five), granny flat prices (1,450 a month, page five). The conservative case assumes only the first lever lands; the high case assumes both do.
Every figure here is non-branded, closed-won revenue at the measured click value. HubSpot reports ex GST, so every dollar figure in this document is ex GST. AI-prompt demand is estimated separately in the appendix, so nothing here is double-counted. SheShed's total organic-search closed-won run rate, branded and long tail included, is A$1.71M a year on the same HubSpot basis, and the model's slice sits inside it.
A done-for-you AI and Search transformation over six months, run across the group with SheShedz as the engine. It moves through three phases: foundations (Aura and Trekk measurement fixed in week one, SheShedz page speed, Product schema on the pages that sell, and the AI-visibility baseline across all three brands), owning your territories (winning the top three across the 95-plus striking-distance terms, and building the roughly 94 pieces that own the core lanes, recalibrating SheShedz's live 297-post library rather than starting again), and authority and compounding (taking the category's authority crown while it is still cheap, on the Bunnings and Mitre 10 story, the regulatory content you already rank for, and the customer stories you already publish). We move into each phase as each site is ready for it rather than on a stopwatch. Everything is yours to keep.
The full breakdown, deliverables and your time commitment live in The offer tab.
Pipeline and closed-won figures are from your own HubSpot first-touch attribution (rolling 90 days to 28 August 2026, ex GST); traffic and rankings from each brand's own Google Analytics and Search Console (12 months to August 2026 for SheShedz and Aura; Trekk's account begins April 2026, so no year-on-year claims are made for it); order values from your own funnel sheet. Search volumes triangulated across Google Keyword Planner and SEMrush (AU), August 2026, with Ahrefs joining as the third source. Domain Ratings from Ahrefs, 28 August 2026. AEO scores from our AEO Maturity Model against live crawls of all three sites. Revenue figures are directional, modelled from your own measured click value, and are not a guarantee of results.
Fort Group runs a genuinely measured sales operation: HubSpot first-touch attribution to closed-won revenue, a weekly scorecard across all three brands, and a 70-day sales cycle you can quote from memory. That discipline is rare, and it is what makes this model honest: every dollar figure traces to your own reporting.
| First touchpoint | Pipeline created | Deals | Read |
|---|---|---|---|
| Organic Google Search | $1,252,139 | 60 | Your single biggest source, and it runs without a media budget |
| Paid Google Ads | $936,786 | 47 | Strong, and rented; it stops when the budget stops |
| Organic other browser search | $420,180 | 20 | Bing and friends; organic search's second helping |
| Paid Facebook | $395,086 | 26 | Volume play |
| Organic Facebook | $358,623 | 17 | The brand's social pull |
| Walk in / showroom | $274,313 | 12 | Physical presence paying |
| Inbound phone | $262,457 | 10 | The 70-day cycle often closes here |
| Direct / unknown | $252,605 | 15 | Some of this is untagged search and AI traffic |
Your HubSpot report totals $4,778,216 of pipeline across 239 deals in the rolling 90 days; the table shows the top sources. On closed-won over the same window the total is $1,073,800 across 53 closed-won contacts (HubSpot counts closed-won by contact), of which organic search (Google plus other browsers) is $421,178 across 19 deals, 39% of everything you closed. Annualised, organic search's closed-won run rate is about $1.71M. All ex GST. HubSpot
| Brand | Sessions (90d) | Organic share | AI-assistant sessions | The catch |
|---|---|---|---|---|
| SheShedz | 147,897 | 15.3% | 147 | A$1.2M of 90-day revenue sits Unassigned: the offline funnel coming back untagged. HubSpot, not GA4, is the money truth here. |
| Trekk | 22,403 | 9.1% | 20 | 45,856 key events on 22,403 sessions: conversion tracking counts nearly everything, so nothing. Needs rebuilding before its numbers mean anything. |
| Aura | 6,885 | 12.3% | 12 | Zero key events configured. No enquiry has ever been measured on this site. |
GA4, rolling 90 days per brand property. AI-assistant sessions are a source-level filter (chatgpt, gemini, claude, perplexity, copilot). Organic share is organic search sessions over all sessions. GA4
Here is what sits behind each score, and what fixes each piece.
| Brand | Finding | Status | Fix |
|---|---|---|---|
| SheShedz | Structured data: Organization, LocalBusiness, AggregateRating, Service, all server-rendered; llms.txt live | Unusually strong | Done |
| SheShedz | Mobile page speed | Lighthouse lab: 48, main content at 40.7s | Weeks |
| SheShedz | Product schema on product pages | Missing where it matters most | Days |
| SheShedz | Content engine (297 posts, customer stories, regulatory FAQs) | Strong base, misallocated: 2 pages against the 29,135/mo garden shed lane | Recalibrate + fill gaps |
| SheShedz | HubSpot attribution to closed revenue, including an AI-referral tag | Ahead of nearly every brand we audit | Wire it to the search side |
| Trekk | Layout stability on mobile | Lighthouse lab: CLS 0.669, severe shifting | Weeks |
| Trekk | Product schema | Present | Done |
| Trekk | GA4 key events | 45,856 events on 22,403 sessions, misconfigured | Days |
| Trekk | Bunnings + Mitre 10 stockist entity signals | Invisible to search and AI | Weeks |
| Aura | Page speed | Best of the three: Lighthouse lab 68, zero layout shift | Done |
| Aura | Conversion tracking | Zero key events configured | Days |
| Aura | Content beyond the 14-page brochure | None; no blog, no FAQ, no Product or Offer schema | Build |
| All three | AI-visibility measurement (which engines cite which brand) | None yet | Baseline + monthly panel |
The page-speed figures are Google's Lighthouse lab test simulating a mid-range phone on a slow connection; the sites may well feel fast on your own device, but the lab score is what Google measures each site against, and 40.7 seconds against a 2.5-second standard costs rankings every day. Lighthouse, 28 Aug 2026
The 91-term core, triangulated and variant-folded so nothing is double-counted: "timber shed", "timber sheds" and "timber garden shed" are variants of one head term and contribute once. One term where Keyword Planner matched far outside the phrase (accommodation pods) and four whose dominant intent is not a backyard building (cabana, pool room, backyard storage, garden buildings) are excluded from the core entirely; the exclusions are listed in The data tab. Strip out ads, map packs and AI answers, and roughly one search in five survives as a winnable organic click. AI-prompt demand (an estimated 2,400 to 6,000 questions a month across the 82-prompt library) is counted separately so nothing is double-counted. Modelled
The library is built from questions with evidence behind them: your own Search Console queries, the FAQ and customer-story content SheShedz already publishes, the regulatory questions you already rank for, and the questions underneath the head terms. A sample:
| Real question | Brand | Cluster | Est. monthly demand |
|---|---|---|---|
| How much does a she shed cost in Australia? | SheShedz | She shed | 2–4 |
| What's the best backyard studio kit in Australia? | SheShedz | Studios & offices | 100–250 |
| What size shed can I build without council approval? | Group | Rules & approvals | real, you already rank on it |
| What is a class 10a structure and do I need approval? | Group | Rules & approvals | real, observed on your own FAQ |
| Can I run a hair salon from a shed in my backyard? | SheShedz | Business in a shed | 6–16 |
| Timber shed vs metal shed: which lasts longer? | Trekk | Timber sheds | real, comparative |
| What wooden shed kits can I buy at Bunnings? | Trekk | Timber sheds | real, ground truth |
| Best architecturally designed cabins in Australia? | Aura | Architectural retreats | real, comparative |
| Are SheShed cabins good quality? Reviews? | SheShedz | Brand & comparison | real, brand |
A sample of the 82-question library, all of it in The data tab with per-question demand, priority and ownability. Estimates are directional floors: 10 to 25% of the anchor term's measured volume, and questions with no keyword anchor are labelled as observed rather than given an invented number. 79 of the 82 are uniquely ownable by one of the three brands. Directional
The same demand, grouped into the territories a plan executes against, with each territory owned by one brand so the three sites never compete with each other. The striking feature of the SheShedz library: 297 posts, deep on cabins and customer stories, nearly silent on the two biggest demand lanes it could own.
| Territory | Brand | Demand / mo | Coverage today | Priority |
|---|---|---|---|---|
| Garden & potting sheds | SheShedz + Trekk | 29,135 | 2 SheShedz pages against the group's biggest lane | P1 |
| Backyard studios & garden offices | SheShedz | 9,165 | 74 pages, but office pod (2,000/mo) not ranking | P1 |
| Granny flats & tiny house kits | SheShedz | 8,590 | 16 pages; the price and kit-home queries sit on page five | P1 |
| Cabins & cabin kits | SheShedz | 5,560 | 91 pages, the strongest coverage on the site | P2 |
| Timber & wooden sheds | Trekk | 3,530 | 68 pages, all on page two of the money terms | P1 |
| Pool houses & cabanas | SheShedz | 3,025 | 25 pages, position 6 to 7, top three within reach | P2 |
| She shed | SheShedz | 3,000 | 130 pages, and still position 8 on the head term | P2 |
| Business in a shed | SheShedz | 1,400 | 15 pages against a 99,000-impression niche | P2 |
| Backyard workshops | Trekk | 1,160 | Nothing anywhere in the group | P3 |
| Architectural retreats & off-grid | Aura | 910 | The 14-page brochure; no content at all | P3 |
| Rules & approvals | Group | Territory evidence | 3 pages, already ranking on 10,198 impressions of habitable-room queries | Strategic |
| Buying journey & comparisons | Group | Prompt-led | 24 pages of FAQ and assembly content to recalibrate | Strategic |
Priority weighs demand, ownability and what already exists. Content requirement: roughly 94 pieces to own the core lanes across the group, and about 194 for full category coverage. A large share of the SheShedz work is recalibration of a live 297-post library, re-pointing existing posts at the queries they nearly win, rather than net-new writing. The full cluster maths is in The data tab. Cluster model
| Brand | Domain Rating | Read |
|---|---|---|
| SheShedz | 19 | Joint category leader already |
| Aarons Outdoor | 19 | The established outdoor-living incumbent |
| Trekk Spaces | 15 | Largely inherited through the trekksheds redirect; thin behind it |
| Backyard Pods | 12 | The pod specialist |
| YZY Kit Homes | 12 | Kit-home competitor across the granny flat lane |
| Melwood | 6 | Cabana and pool house specialist |
| Aura Cabins | 3.6 | Effectively no link profile yet |
Ahrefs Domain Rating, 28 August 2026. Competitor organic-traffic footprints join this table when the full Ahrefs pull lands this week. Ahrefs
| Source | What it provides |
|---|---|
| Your own HubSpot | First-touch attribution to pipeline and closed-won revenue, rolling 90 days, ex GST: the A$1,252,139 organic pipeline, the A$268,968 organic closed-won that anchors the click value, and the ChatGPT line. First touch on a 70-day cycle means the numbers credit the channel that started each deal. |
| Keyword volumes, triangulated | Google Keyword Planner and SEMrush (AU), taken as the median, variant-folded, with Keyword Planner's close-variant lumping detected and excluded. Ahrefs joins as the third source within the week; single tools miscount, so we never rely on one. |
| Each brand's own Search Console | SheShedz (domain property, history from April 2025), Aura (history from April 2025) and Trekk (history from April 2026, relaunched late June, so no year-on-year claims). We swept more than 28,000 query rows across the three accounts, classified every one against the planned lanes, and country-verified the out-of-plan candidates: habitable-room queries (10,198 impressions, 98% AU) and insulation packages (3,037 impressions, 100% AU) were kept as territory evidence rather than money-model terms, and nordic spruce was ruled out as 65% offshore. SheShedz's anonymised long-tail (about 42,700 clicks a year) is treated as non-branded and left outside the model, which makes the share figure conservative. |
| The she shed terms | The company is named after the category. Queries like "she shed" and "she shed australia" are counted as non-branded category demand, and only explicit brand spellings (sheshedz, sheshed) as branded. The split either way is shown in The data tab. |
| Each brand's own GA4 | Rolling 90 days per property: channel mix, organic sessions (the click-value cross-check), the AI-assistant source filter, and the measurement gaps reported in Appendix A exactly as found. |
| Your funnel sheet | The July funnel: 1,221 leads, 62.65% lead to SQL, 76 proposals worth $1,539,091, 12.73% close, $19,595 average order value. The AOV cross-checks HubSpot's average organic closed-won deal ($22,414) within 13%. |
| Head-term anchors + fan-out | Every AI prompt is anchored to the measured volume of the search term underneath it, with a conservative 10 to 25% band. Prompts with no anchor are labelled observed, not numbered. |
| Citation tracking | A fixed panel of priority category questions per brand, run monthly across ChatGPT, Claude, Perplexity and Google AI Overviews, logging exactly which brands get named, with the baseline taken before any work ships. |
Measurement runs in our own platform, 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