Share of voice across ChatGPT, Perplexity, Claude, and Google AIO — measured across 8 shopper prompts and 30 brands.
Different AI models weight different sources. A brand that wins ChatGPT may lag in Google AIO if its retail footprint is weak.
Mumzworld is cited in 68.3% of tracked engine responses across the four major AI engines, holding an average position of 1.5 when named. No other tracked brand in this prompt set comes within 24 points of that figure. In a retail vertical where category incumbents have spent a decade competing on SKU breadth, fulfillment speed, and app ranking, the AI layer currently rewards the specialist more than the horizontal marketplace.
The competitive dynamic beneath this headline is tighter than it appears. FirstCry (44.2%) and noon (37.5%) are the closest challengers by aggregate SoV, with Babyshop (29.2%) a credible fourth. The directional pattern across engines suggests pure-play specialists lead broad discovery visibility, horizontal marketplaces over-index on ChatGPT, and legacy physical retailers such as Centrepoint (17.5%) and Carrefour UAE (6.3%) under-index versus the top specialist and marketplace players in this dataset. Seven tracked brands — Sun and Sand Sports, BabyLove, Toys R Us ME, Hamleys ME, Pottery Barn Kids ME, Aptamil ME, and Joie Baby — returned zero citations across all 240 engine calls.
For a brand sitting in the 10-30% SoV band next quarter, the priority is not to attack Mumzworld's generic "best baby store" territory. It is to test authority-building in semantic adjacencies that may be under-defended — cross-GCC travel, pregnancy-safe skincare, halal-aligned baby food, premium-channel crossovers. Prompt-level and source-URL analysis is required before claiming no incumbent owns these territories, but the aggregate leaderboard gives no indication that any tracked brand has built citation primacy against them. The cost of testing empty semantic space is materially lower than the cost of displacing a specialist with entrenched category authority.
This study covers the UAE/GCC mother-and-baby category. The prompt set is UAE-anchored but deliberately includes cross-border queries (KSA, inter-GCC travel, SAR-priced value prompts) because expatriate parents in Dubai and Abu Dhabi routinely shop, ship, and travel across the GCC, and because several of the leading retailers — Mumzworld, FirstCry, noon, Amazon — operate on both sides of the UAE/KSA border. Readers should treat the leaderboard as UAE-led GCC visibility rather than a pure single-market cut; Amazon.sa is retained as a reference point for cross-border demand rather than as a UAE competitor.
AI search matters for this category earlier than it matters for most verticals because the underlying purchase is research-heavy, anxiety-laden, and frequently made by expatriate parents without local family networks to consult. A new mother in Dubai or Riyadh asking "what to buy online before giving birth" or "dermatologist recommended baby lotion for sensitive skin" is running exactly the kind of open-ended, comparative, trust-seeking query that ChatGPT, Gemini, Perplexity, and Google AIO are now answering directly rather than returning ten blue links. The prompts in the tracked set were designed to approximate the real distribution of shopper decisions that used to route through Google, a mom-group WhatsApp, or an in-store associate.
Gemini is the highest-visibility engine in the category: Mumzworld scores 80% there, FirstCry 56.7%, noon 51.7%, Babyshop 36.7%, and several other brands — product brands such as Cybex (31.7%), Chicco (25%), Pampers (23.3%), Bugaboo (21.7%), and Stokke (20%), alongside retailers such as Centrepoint (28.3%) and Amazon.ae (23.3%) — all over-index on Gemini relative to their aggregate SoV. ChatGPT is where the marketplaces are strongest (noon 51.7%, Amazon.ae 31.7%). Google AIO is the most concentrated, with the top four brands capturing the bulk of visibility and most product brands falling to zero. Our working hypothesis is that brands establishing citation primacy across these engines in the next two to four quarters will compound that lead as retrieval-augmented generation becomes the default UX. If that hypothesis holds, this is a land-grab window, and only a handful of tracked brands are currently positioned to capture it.
| Brand | SoV % | Avg Position |
|---|---|---|
| Mumzworld | 68.3 | 1.5 |
| FirstCry | 44.2 | 2.8 |
| noon | 37.5 | 3.6 |
| Babyshop | 29.2 | 3.2 |
| Centrepoint | 17.5 | 4.0 |
| Amazon.ae | 16.3 | 3.7 |
| Pampers | 11.3 | 3.4 |
| Amazon.sa | 10.8 | 4.3 |
| Chicco | 10.4 | 4.2 |
| Cybex | 10.0 | 4.4 |
| Huggies | 9.2 | 4.2 |
| Ounass | 6.7 | 4.0 |
| Stokke | 6.7 | 4.3 |
| Carrefour UAE | 6.3 | 5.3 |
| Bugaboo | 6.3 | 3.7 |
| Tommee Tippee | 4.6 | 3.3 |
| Doona | 3.3 | 4.4 |
| Namshi | 2.9 | 4.6 |
| Maxi-Cosi | 2.9 | 6.3 |
| Lulu Hypermarket | 2.5 | 7.8 |
| UPPAbaby | 1.7 | 4.5 |
| Mothercare ME | 0.8 | 3.5 |
| Nuna | 0.4 | 4.0 |
| Sun and Sand Sports | 0 | — |
| BabyLove | 0 | — |
| Toys R Us ME | 0 | — |
| Hamleys ME | 0 | — |
| Pottery Barn Kids ME | 0 | — |
| Aptamil ME | 0 | — |
| Joie Baby | 0 | — |
Mumzworld's 24.1-point gap over FirstCry is the defining structural feature of the category in this dataset. The data does not isolate the cause, but the pairing of dominant SoV with a 1.5 average position — meaning Mumzworld is typically cited near the top when named — is consistent with entrenched category authority rather than incidental mention. This is the structural advantage of being the category-defining query.
Babyshop is the brand punching above its weight. At 29.2% SoV with a 3.2 average position, it outperforms the broader Centrepoint banner, despite both sitting within the Landmark Group ecosystem. One plausible explanation is that its dedicated baby brand and vertical focus are more legible to AI systems than the generalist department-store presence, but confirming this requires URL-level validation to determine whether citations resolve to a Babyshop domain, Centrepoint pages, Landmark infrastructure, or third-party references. Conversely, Mothercare ME at 0.8% is a cautionary data point: brand equity offline does not transfer automatically into retrieval-layer visibility.
Mumzworld is cited in 73.3% of ChatGPT responses, followed by noon at 51.7%, Babyshop at 43.3%, FirstCry at 41.7%, and Amazon.ae at 31.7%. ChatGPT is the engine on which horizontal marketplaces score highest relative to specialists, a pattern that merits further source-level investigation.
Mumzworld leads at 65%, with FirstCry at 43.3% and noon at 35%. Babyshop drops sharply here to 15%, and several product brands and retailers (Cybex, Bugaboo, Doona, Lulu Hypermarket) fall to zero. This may reflect source-selection differences on Perplexity, but URL-level data would be needed to confirm.
Gemini returns the highest citation rates in the category: Mumzworld 80%, FirstCry 56.7%, noon 51.7%, Babyshop 36.7%, Cybex 31.7%, Centrepoint 28.3%, Chicco 25%, Amazon.ae 23.3%, Pampers 23.3%, Bugaboo 21.7%, Stokke 20%. Gemini is also the engine where premium stroller and juvenile-product brands (Cybex, Bugaboo, Stokke) surface more often than on other engines. For product brands in particular, Gemini is the most important engine to monitor.
Mumzworld at 55%, FirstCry at 35%, Babyshop at 21.7%, noon at 11.7%, Centrepoint at 8.3%, Amazon.ae at 6.7%, Amazon.sa at 5.0%. Google AIO is the most concentrated engine: many product brands and lower-visibility retailers fall to zero (Chicco, Cybex, Bugaboo, Carrefour UAE, Maxi-Cosi, Lulu Hypermarket), while the main marketplaces retain limited but non-zero visibility. One hypothesis is that visibility here tracks organic authority more closely than on other engines, which would make this the hardest engine for challengers to move in a single quarter; validating this would require pairing the AIO data with organic SERP and backlink data.
The 240 engine calls span 60 shopper prompts. The underlying prompt-level breakdown and cluster assignments are not resolved in the aggregate dataset supplied for this study, so the five clusters below are presented as an illustrative framework for interpreting the SoV distribution rather than as the measured prompt design. A follow-on prompt-level appendix would confirm or refute each hypothesis.
Cluster 1: Generalist "best baby store" queries. Broad discovery prompts are expected to favor Mumzworld given its position-1.5 dominance.
Cluster 2: Price and deal queries. Value-oriented prompts ("cheap," "bulk pack," "value for money," in AED or SAR) are hypothesized to shift toward noon and FirstCry, consistent with marketplaces' ChatGPT over-indexing.
Cluster 3: Comparison queries. Head-to-head prompts (e.g., Mumzworld vs FirstCry) reward brands that appear inside independent comparison content, not just on their own domains.
Cluster 4: Health-adjacent and sensitive-skin queries. Dermatologist and pregnancy-safe skincare prompts reward editorial content with clinical framing, which specialist retailers have historically under-invested in.
Cluster 5: Expat and lifecycle queries. Newborn-essentials and expat-family prompts are expected to be Mumzworld's strongest territory, reflecting years of checklist-style content targeted at expat mothers.
The aggregate data in this study does not resolve prompt-level winners, so the territories below should be read as hypotheses for where white space may exist, not as measured findings. Each would need prompt-level and source-URL validation before capital is committed. That said, the five areas below are the ones where no tracked incumbent has an obvious structural claim in the aggregate data, and where commercial density (basket size, purchase frequency, cross-category pull) is highest:
The common thread: these areas cross a category boundary (travel, prestige beauty, religious certification, premium juvenile product) that no tracked incumbent has written authoritative content against. A prompt-level appendix would sharpen the prioritization.
For a brand currently at 10-30% SoV — Babyshop, Centrepoint, Amazon.ae, or a premium juvenile-products brand such as Cybex or Chicco — the next 90 days should not be spent trying to outrank Mumzworld on head terms. Three concrete moves:
Move 1: Commission a dermatologist-authored pregnancy and baby skincare guide, and treat it as a retrievable-source experiment, not a one-shot asset. The sensitive-skin and pregnancy-safe semantic space is hypothesized to be under-defended across all four engines. Partner with a GCC-licensed dermatologist for a primary 2,500-word guide published on an independently authoritative regional health or lifestyle domain, and pair it with syndication, on-domain companion content, named expert credentials, structured data/schema, and repeated corroboration across secondary sources. AI visibility in this category is driven primarily by live retrieval, publisher authority, SERP overlap, and cross-source corroboration, not by any single article entering model training data. Measure the result against the prompt set over one to two quarters and treat the SoV uplift as a test outcome rather than a forecast.
Move 2: Build a structured "inter-GCC baby travel" hub with airline-specific policies. Create a 12-page content set covering Emirates, Etihad, Saudia, and flyadeal baby policies, stroller gate-check rules, formula liquid allowances, and car-seat rental at destination. Seed it through travel aggregators (Wego, Skyscanner regional blog) and established UAE parenting and family publications — verified titles such as ExpatWoman, Time Out Dubai Family, and Kidzapp are appropriate starting points, subject to editorial-fit review before outreach. This is a low-cost, high-leverage content investment whose commercial value — years of potential citations on a high-AOV occasion with no competing authority — should materially exceed its production cost if the hypothesis holds.
Move 3: Earn inclusion in independent comparison content through disclosed editorial and affiliate outreach. Head-to-head prompts reward brands named inside the comparison content itself. Build a disclosed outreach program to regional review and parenting publications — pitching product samples, expert interviews, and affiliate partnerships under clear editorial-disclosure standards — so that your brand is included alongside Mumzworld, FirstCry, and noon in their comparison pieces. The goal is not to win the comparison. The goal is to be named in it, which is how LLMs learn that your brand belongs in the consideration set. Treat the SoV lift as a measurable test outcome over one to two quarters.
This study ran 240 engine calls across ChatGPT, Perplexity, Gemini, and Google AIO, covering 60 shopper prompts designed to approximate the real distribution of D2C baby-and-maternity queries across the UAE and wider GCC: generalist store discovery, price-sensitive queries, product-specific comparisons, health-adjacent questions, and lifecycle prompts (pregnancy, newborn, expat relocation). The prompt set is UAE-anchored but includes cross-border KSA and inter-GCC queries to reflect expatriate shopping behavior and the multi-market footprint of the leading retailers; Amazon.sa is included on that basis rather than as a pure UAE competitor. Share of voice is computed across all 240 engine responses, equivalent to the average of the four engine-level citation rates for each brand; for example, Mumzworld's 68.3% SoV is the mean of its 73.3% (ChatGPT), 65% (Perplexity), 80% (Gemini), and 55% (Google AIO) rates. Average position is the mean ordinal rank of the brand across all mentions. Thirty brands were tracked in total, selected from a combination of marketplace leaders, specialist retailers, DTC baby-product brands, and adjacent category players (beauty, sports, department stores) to test cross-category citation behavior. The dataset captures brand-level citation rates and average position only; it does not include citation URLs, source-domain analysis, the underlying prompt list, or prompt-level winners, any of which would be required to validate the hypotheses flagged in the unclaimed-territory, prompt-cluster, and engine-breakdown sections.
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