Halloween research · Evidence notes

5 Surprises in the Sources Cited by AI’s Halloween Answers

A retailer can be offered as a place to shop without receiving a source link. Another can be cited while the answer never suggests buying from it.

Gist’s Halloween study asked how AI helps US shoppers choose costumes and decorations. We wrote 30 questions, including where to find an outfit under $40 and how to compare a cheap costume with a reusable one. We collected repeated ChatGPT and Perplexity API answers to those questions on October 9, 2026.

We examined two things separately: the shopping advice in each answer and the website links listed as its sources. A citation here means a saved source link. It does not mean that the answer recommends the company behind that website.

The five findings below explain the relevant question and answer count before comparing those two kinds of visibility.

Saved research evidenceGIST / FIELD NOTES
Walmart appeared in all 8 budget answers without an owned source link.

One authored US question about a complete Halloween outfit under $40. Eight saved Perplexity API answers, October 9, 2026. Each bar counts answers, not links.

Offered for purchase or comparisonOwned-family source link present

Walmart

Shopping option8 / 8
Source link0 / 8

Target

Shopping option8 / 8
Source link8 / 8
Read the chart data
Advice and source presence in the same eight budget answers
RetailerShopping optionSource link present
Walmart8 / 80 / 8
Target8 / 88 / 8

H2-02. A saved source list does not establish which page supplied the advice. This is one question, not a retailer ranking. Methods and evidence.

1. Walmart could be a shopping option without a Walmart citation

One question asked where a US shopper should compare Halloween costumes if the complete outfit needed to cost under $40. We saved eight Perplexity answers to that same question.

All eight offered Walmart as a purchase or comparison option. None included a Walmart-family source link. Target was also offered in all eight answers, and Target links appeared in all eight. [H2-02]

The difference was not limited to that question’s source lists: across all 556 saved Perplexity answers to the study’s 30 questions, there were no Walmart-family citations.

For a retailer, being offered and being linked are distinct outcomes. A report of cited websites alone would miss Walmart’s shopping role in the budget answers. The evidence does not establish which external page supplied the Walmart advice.

2. Morphsuits was cited in a comparison that chose no retailer

Another question asked how to compare the long-term value of a cheap costume with a more expensive reusable one. We saved 16 Perplexity answers to that one question.

All 16 linked to Morphsuits, a costume brand. None named it in the answer body or offered a named retailer choice. The answers discussed value rather than selecting a store. [H2-03]

One answer explained that the cheaper costume could be financially preferable for a single use unless comfort, appearance or reliability justified paying more. Its sources included a Morphsuits page about cheap versus expensive costumes.

The 16 answer texts differed, but all carried the same ten-URL source set, including five Morphsuits links. That is repeated source presence, not 16 independent discoveries of the brand’s pages or proof that a page caused the advice.

3. Target appeared across several seller-comparison questions

The panel included seven questions specifically about choosing sellers—for example, which online stores to compare for adult costumes at different budgets. These are seven different questions, not seven repeated answers.

For each system, Target links appeared in answers to six of those seven questions. That establishes breadth across the seller questions, rather than how often Target was named as a preferred store. [H2-01]

Target links also appeared beyond seller selection. ChatGPT cited Target in answers to five of the six questions about acquisition and value, which covered decisions such as whether to make, buy, rent or reuse an outfit.

The useful finding is that Target’s source presence accompanied several kinds of decision. The more detailed calculation across the full question panel is available in the methods below; it should not be mistaken for shopper share or a share of all citations.

4. Public agencies accompanied the costume-value question

ChatGPT answered the same cheap-versus-reusable costume question discussed in section two. We saved 48 ChatGPT answers to it.

All 48 cited both the Federal Trade Commission and the Environmental Protection Agency. None selected a named retailer. [H2-04]

The answers discussed future use, care and conditions under which paying more might not make sense. In one example, adding cleaning costs reversed an initially attractive cost-per-wear calculation. Those numbers were assumptions inside an AI answer, not measured product economics.

The agencies belong in the source picture, but they are not retail competitors. Their links also do not independently validate every calculation in the answer.

For a first outdoor display, we asked how to compare inflatables, static yard props and animatronics. We saved 28 ChatGPT answers to that one question.

Home Depot and Lowe’s source families each appeared in 23 of the 28 answers. Only seven of the 28 explicitly offered named retailer comparisons. [H2-05]

Much of the advice concerned the display’s configuration and practical constraints. Retailer links accompanied that explanation even when the answer did not provide a buying destination.

“Source family” matters to the count: it includes the main domain and the subdomains grouped with it by the study. Counting only each retailer’s principal host gives 21 of 28 answers instead of 23. Neither rule proves ownership of every linked page or that a particular page shaped the answer.

Read the shopping advice alongside the sources

Walmart’s shopping presence exceeded its source links. Morphsuits had links without a named buying role. Target appeared across different questions, while agencies and home-improvement retailers accompanied explanatory advice.

Those relationships are useful to a brand team precisely because a source list and a shopping list answer different questions.

Methods and evidence

This article uses the completed ChatGPT and Perplexity portions of the corrected Halloween foundation: 612 and 556 saved answers to the same 30 authored US-focused questions, collected October 9, 2026. Repeated answers to one question are not different shopper questions or independent source discoveries. Selected budget, reuse and display cases received full semantic readings; the study did not verify every linked page’s contents or current retail claims.

Target’s full-panel citation rate gives each question equal weight. For each of the 30 questions, the study calculated the fraction of that system’s answers containing a Target-family link, then averaged those 30 fractions. The result was 40.3% for ChatGPT and 26.7% for Perplexity. These are average within-question rates, not percentages of all source links or shoppers.

Saved citation surfaces differed: each Perplexity answer carried ten entries; ChatGPT averaged 2.90. Source-family mapping uses declared domain and subdomain rules. H2-01–H2-05 retain their original claim-map references. No AI Overview finding or new measurement is used.

Does your brand appear in the answer, the links or both? Start a free Gist Quick Scan for a topic relevant to your business. Use the snapshot to see brand mentions and website citations in the tested answers.

Read the full halloween study.

Halloween shopping advice beyond the complete costume includes the complete findings, methods and a 35-page PDF. Email capture opens access in this browser for one hour. No email is sent, and you won’t be subscribed to marketing.