Apple wins the answer.
The tech press wins the citation.
Eight months of weekly tracking, 676 stored analyses. In pure market questions — “best laptops” — apple.com is cited in under 1% of answers. The visibility is carried by the review ecosystem the engines trust.
The climb.
Share of voice, monthly averages of weekly scans.
Market questions vs product questions.
Three brand-free prompts and one product-named prompt, measured separately. Even for Apple, the market questions are answered from third parties.
| Tracked prompt | Type | Stored answers | Own site cited | Rate |
|---|---|---|---|---|
| “Best iPhone to buy in 2026” | Brand | 15 | 2 | 13% |
| “What’s the best laptop for professionals in 2025?” | Market | 287 | 4 | 1% |
| “what are the best laptops for designers 2025?” | Market | 287 | 2 | 1% |
| “what are the best laptops?” | Market | 249 | 0 | 0% |
The citation ledger — before and after.
The raw accounting, market questions only, branded prompts excluded. Every number counted from the stored answers, not estimated.
| Metric — market questions only | Before (Nov–Jan) | After (Feb–Jun) | Change |
|---|---|---|---|
| Stored answers analysed | 670 | 686 | — |
| Total citations inside those answers | 8,042 | 8,075 | stable |
| Unique domains cited | 372 | 530 | +42% |
| Citations of apple.com | 3 (0.04%) | 16 (0.2%) | ×5 (tiny base) |
| apple.com URLs appearing as sources | 3 | 5 | +2 |
The market’s source graph.
The domains the AI cites for “best laptops” — the review ecosystem, plus retail.
| Source | Before | After |
|---|---|---|
| 106 | 314 | |
| 326 | 234 | |
| 227 | 185 | |
| 144 | 100 | |
| 69 | 93 | |
| 190 | 71 | |
| 40 | 51 | |
| 37 | 47 | |
| 16 | 38 | |
| 29 | 35 |
The cause is in the citations.
Same windows, every citation counted from the stored runs: 10,102 before, 21,121 after. No single engine moved — the sources writing the answer did.
| Source | Share before | Share after | Change |
|---|---|---|---|
| 10.9% | 6.8% | -4.1 pts | |
| 6.3% | 2.2% | -4.1 pts | |
| 7.5% | 4.2% | -3.3 pts | |
| 2.6% | 0.5% | -2.1 pts | |
| 7.8% | 17.1% | +9.3 pts | |
| 0.4% | 3.0% | +2.6 pts | |
| 0.1% | 1.0% | +0.9 pts |
The proof: the only thing that removes the MacBook.
2,711 stored runs on the laptop questions; the brand appears in 99% of them — so the interesting signal is what correlates with the missing 1%. For every stored run we check two things in the same answer: which sources it cites, and whether the brand’s name appears in the answer text. Comparing runs where a source is present vs absent isolates each source’s effect. Correlation measured across runs — not a causal claim — sources with enough runs to matter only.
| Source cited in the run | Runs | Brand in answer when cited | When absent | Effect |
|---|---|---|---|---|
| 921 | 100% | 98% | +2 pts | |
| 638 | 100% | 98% | +2 pts | |
| 329 | 100% | 98% | +2 pts | |
| 159 | 84% | 99% | -15 pts | |
| 20 | 80% | 99% | -19 pts | |
| 20 | 90% | 99% | -9 pts |
The fan-out layer: where the gaps live.
Every prompt a user asks explodes into sub-queries the engines run silently. We track each one. Most appear once and vanish — nobody owns them yet. That long tail is the gap map.
| Sub-query the engines actually ran | Times seen | Engine consensus |
|---|---|---|
| “best laptops for designers 2025” | 349× | 4 engines |
| “best laptops for design 2025” | 312× | 4 engines |
| “best laptops 2026 reviews” | 105× | 2 engines |
| “best laptops for creative professionals 2025” | 85× | 1 engines |
The playbook this case proves.
| The move | What it does | In the suite |
|---|---|---|
| Get into the round-ups AI reads | laptopmag-tier reviewers decide the market answers | Get Cited + AI Links |
| Answer-first newsroom | Own press pages quotable enough to be cited | Content Hub |
| Product pages with clean structure | Win the product & navigational questions outright | Ecommerce SEO |
The schema autopsy: what the winners run under the hood.
We fetched the cited pages and extracted their structured data (JSON-LD), live. The pattern maps one-to-one to which questions each page wins.
| Cited page | Schema found | What it wins |
|---|---|---|
| laptopmag.com/best-laptops-for-graphic-designers | Article + ItemList + Breadcrumb | Market questions — the round-up recipe (349× fan-out winner) |
| apple.com/macbook-pro | Product + Organization | Product questions |
| gucci.com/store/725-fifth-avenue | Store | “Near me” questions (74+ citations) |
| gucci.com capsule & category pages | none found | Only win when the brand is already named |
| zara.com (any page) | unreachable — 403 to all bots | Nothing: the engines cannot read the site |
Method: live fetch of each cited URL with JSON-LD extraction (Aug 7, 2026). Gucci pages verified via Wayback snapshot — gucci.com blocks datacenter traffic. zara.com returned 403 to browser, GPTBot and PerplexityBot user-agents alike.
More cases, same measurement.
The full split: 57% own-site citations in brand questions, 0.7% in market questions — and what closes that gap.
The earned-media case: 0 of 386 market answers cite zara.com — city guides and press carry all of it.
The decline case: −23 points in one week when the engines dropped Yelp from the answer. Borrowed visibility, gone overnight.
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Scan my brand free → Book a demoObservational study of public AI answers, measured weekly by AI Rankia (Nov 2025 – Jun 2026). Per-engine presence rates; early-window samples are smaller. Brand names are trademarks of their respective owners, referenced for identification only; no affiliation or endorsement implied.