One query. That is this brand's entire AI presence.
Muddy Bites achieves 10% AI visibility — but all 15 surfacings came from a single query. If you don't already know waffle cone bites exist, AI will never introduce you.
Executive Summary
- Brand: DTC chocolate waffle cone bite snacks, the "bottom of the ice cream cone" as a standalone product
- AI visibility score: 15/150 tests surfaced the brand (10%)
- The pattern: Niche-locked — visible only when someone asks the exact right question, invisible for every adjacent category
- Key competitor gap: Just The Fun Part has stronger Amazon/marketplace presence; freeze-dried candy brands own the "viral snack" conversation
- Root cause: Product data completely inaccessible (all URLs returned 404), Trustpilot unclaimed at 0.0/5, viral moment has faded from AI training data
- Fix complexity: High — both a data infrastructure problem and a category framing problem
The brand
Muddy Bites is a direct-to-consumer snack brand that sells bite-sized waffle cones filled with chocolate. The product is built on a single, universally understood craving: the bottom of the ice cream cone. That chocolate-filled, crunchy final bite — Muddy Bites turned it into a standalone snack.
The brand targets snack enthusiasts (18-35) who respond to viral food trends, TikTok-driven discovery, and nostalgia-driven products. Variants are simple flavour extensions: dark chocolate, milk chocolate, white chocolate, peanut butter. The product went viral on social media and built strong early traction through TikTok and influencer partnerships.
The test
We ran 150 automated browser-based tests using Playwright — 10 repeats × 5 queries × 3 platforms (ChatGPT, Gemini, Copilot). Queries targeted Muddy Bites' positioning: chocolate snack gift, unique candy, waffle cone snack, party snack, and viral snack brands.
The results
| Query | ChatGPT | Copilot | Gemini | Total | Rate |
|---|---|---|---|---|---|
| Chocolate snack for a gift | 0/10 | 0/10 | 0/10 | 0/30 | 0% |
| Unique candy or sweet treat | 0/10 | 0/10 | 0/10 | 0/30 | 0% |
| Best waffle cone snack | 0/10 | 5/10 | 10/10 | 15/30 | 50% |
| Fun snack for a party | 0/10 | 0/10 | 0/10 | 0/30 | 0% |
| Viral snack brands | 0/10 | 0/10 | 0/10 | 0/30 | 0% |
| Total | 0/50 (0%) | 5/50 (10%) | 10/50 (20%) | 15/150 | 10% |
Gemini knows the product perfectly — when asked the right question. On the waffle cone query, Gemini surfaces Muddy Bites in 10 out of 10 runs at position #1-2. It describes them as "the bottom of the cone" bites and recommends freezing them before eating. This is genuine product knowledge absorbed from content creators and reviews.
Every other query returned zero. Chocolate gifts: 0. Unique candy: 0. Party snacks: 0. Viral brands: 0. If a customer does not already know that waffle cone bites exist as a product format, AI agents will not introduce them to it.
The viral moment has faded. Despite Muddy Bites' origins as a TikTok viral snack, no AI agent includes it in "viral snack brands." The 2026 viral conversation has moved to freeze-dried candy, "swicy" flavours, and peelable gummies. The viral window appears to have closed.
ChatGPT: 0/50 across all queries — including the waffle cone query where Gemini scores 100%. ChatGPT gives recipe-style suggestions rather than brand recommendations for snack queries.
Why this is happening
Product data is completely inaccessible. All three product URLs returned 404 errors via the Shopify JSON API. Whether due to non-standard URL slugs, a headless setup, or API restrictions, automated tools and AI crawlers cannot access structured product data.
The category framing problem is severe. Muddy Bites competes in a micro-niche — "chocolate-filled waffle cone bites" — that does not map to any standard snack category. "Chocolate snacks" triggers boxed chocolates and bars. "Unique candy" triggers freeze-dried and global novelties. "Party snacks" triggers recipes. There is no standard query path that leads to waffle cone bites unless the customer already knows the format exists.
Trustpilot is unclaimed. 0.0/5 with 13 reviews. Any AI agent checking independent review signals sees this score and deprioritises.
Just The Fun Part is winning on marketplace data. On Copilot, the direct competitor surfaces with Amazon UK product listings, pricing, and review ratings — structured marketplace data that Muddy Bites lacks.
What Muddy Bites could do, in priority order
Phase 1 (quick wins):
- Fix Shopify product data accessibility — ensure URLs resolve via JSON API
- Claim and manage the Trustpilot profile
- Optimise Amazon listings — Copilot pulls directly from Amazon/Bing Shopping data
Phase 2 (medium effort):
- Build product descriptions that bridge the category gap — connect to searchable categories: "chocolate snack", "dessert snack", "party snack", "gift snack"
- Add comprehensive tags: chocolate, waffle-cone, snack, gift, party-snack, dessert, dark-chocolate, milk-chocolate, bite-sized
- Ensure JSON-LD structured data with Product schema, aggregateRating, and pricing
Phase 3 (longer term):
- Pursue editorial roundup inclusion in adjacent categories: "best chocolate snacks", "best snack gifts", "best TikTok snacks"
- Create comparison and category content: "Muddy Bites vs Just The Fun Part", "Best chocolate-filled waffle cone bites"
- Reactivate creator content engine, particularly on YouTube (which Gemini weights heavily)
Close
Muddy Bites is the most extreme case of niche-lock in the audit set. The brand owns one query completely — Gemini recommends it 100% of the time for "best waffle cone snack." But that is the entire AI presence. Social virality is a moment. AI visibility requires infrastructure. The viral window closed, and the brand did not build the data layer needed to sustain visibility beyond it. If your product data returned 404 for every product, AI agents face the same wall you built.