Who do AI assistants recommend for restaurants in Miami?
Generated 2026-08-12 · window 2026-07-15 → 2026-08-12 (28 days) · n = 157 sampled answers across 5 engines
Key findings
- AI engines named 597 distinct businesses/products for this niche in 28 days (across 157 sampled answers) — but recommendations concentrate hard on the top of that list (see the share table below).
- The #1 answer ("Chug's Diner") appears in 17.2% of sampled answers (27 of 157 answers), recommended by 5 of 5 engines measured.
- 50.1% of everything AI recommends here is named by only ONE engine (299 of the 597 distinct entities recommended in the window) — the engines materially disagree.
- The most-cited source for this niche is vertexaisearch.cloud.google.com — it backs 27 of the 157 sampled answers (17.2%).
Top 5 most-recommended
| # | Name | Share of answers | Answers | Avg. list position | Engine agreement |
|---|---|---|---|---|---|
| 1 | Chug's Diner | 17.2% | 27/157 | 9.3 | 5/5 |
| 2 | Enriqueta's Sandwich Shop | 10.2% | 16/157 | 5.8 | 5/5 |
| 3 | Versailles | 10.2% | 16/157 | 7.5 | 5/5 |
| 4 | CVI.CHE 105 | 10.2% | 16/157 | 9.1 | 5/5 |
| 5 | Mandolin Aegean Bistro (mandolinrestaurant.com) | 9.6% | 15/157 | 7.5 | 5/5 |
Share = % of all 157 sampled answers in the window that recommend the entity. Engine agreement = engines recommending it at least once / engines measured.
Engine disagreement
Across the 5 engines measured (Claude (Anthropic), Gemini (Google), Grok (xAI), ChatGPT (OpenAI) and Perplexity), 597 distinct entities were recommended at least once. 299 of them (50.1%) were named by only a single engine (n = 597 entities). Ask a different AI, get a different answer.
What AI reads: most-cited sources
116 of 157 sampled answers cited at least one source.
| Source | Citations | Answers citing it | % of answers |
|---|---|---|---|
| vertexaisearch.cloud.google.com | 217 | 27/157 | 17.2% |
| theinfatuation.com | 111 | 68/157 | 43.3% |
| reddit.com | 95 | 41/157 | 26.1% |
| miaminewtimes.com | 47 | 34/157 | 21.7% |
| timeout.com | 46 | 39/157 | 24.8% |
| miami.eater.com | 32 | 22/157 | 14% |
| opentable.com | 32 | 24/157 | 15.3% |
| hungrypost.com | 27 | 27/157 | 17.2% |
| instagram.com | 19 | 14/157 | 8.9% |
| tripadvisor.com | 19 | 18/157 | 11.5% |
Chart data
Methodology
Sampled from the Orbator AI Recommendation Index: 157 answers collected 2026-07-15 → 2026-08-12 (28 days) across Claude (Anthropic) (n = 30), Gemini (Google) (n = 40), Grok (xAI) (n = 14), ChatGPT (OpenAI) (n = 28), Perplexity (n = 45) via their official APIs, with web search enabled where the engine supports it.
| Category sampled | n (answers) | Note |
|---|---|---|
| Best breakfast in Miami | 11 | small sample (<20) — directional only |
| Best brunch in Miami | 13 | small sample (<20) — directional only |
| Best cuban food in Miami | 11 | small sample (<20) — directional only |
| Best italian restaurant in Miami | 11 | small sample (<20) — directional only |
| Best mediterranean food in Miami | 11 | small sample (<20) — directional only |
| Best pancakes in Miami | 3 | small sample (<20) — directional only |
| Best peruvian food in Miami | 11 | small sample (<20) — directional only |
| Best pizza in Miami | 11 | small sample (<20) — directional only |
| Best ramen in Miami | 11 | small sample (<20) — directional only |
| Best seafood in Miami | 11 | small sample (<20) — directional only |
| Best steakhouse in Miami | 11 | small sample (<20) — directional only |
| Best sushi in Miami | 11 | small sample (<20) — directional only |
| Best tacos in Miami | 9 | small sample (<20) — directional only |
| Best thai food in Miami | 11 | small sample (<20) — directional only |
| Best vegan restaurant in Miami | 11 | small sample (<20) — directional only |
- Prompt design. Each category carries buyer-shaped prompts — the questions real buyers type ("best [category] for [audience]", "what should I use for [job]"). Prompts are strictly neutral: they never contain product or business names and never steer toward or away from anyone.
- Entity resolution. Every business/product named in an answer is extracted and resolved against a canonical registry, so name variants and domains count as one entity. Generic phrases are filtered and never become entities; suspected duplicates are human-reviewed.
- "Known" entities. The never-recommended stat counts every canonical entity the Index has ever extracted from this niche's answers (all time) and asks how many were not named even once inside the study window.
- Minimum sample. Categories with fewer than 20 sampled answers in the window are marked as small samples and should be treated as directional, not ranked — we publish stable numbers, not noise.
- Independence. Orbator sells AI-visibility tooling; measurement is identical for every business and product, customer or not. Rankings cannot be bought.
Full methodology: https://www.orbator.io/ai-index/methodology · Data © Orbator — free to cite with attribution to orbator.io.