Braze AI Visibility — marketing automation in New York | AnswerMonk
Analyzed on April 19, 2026 · Engines: ChatGPT, Claude, Gemini, Perplexity · Methodology
This report analyzes AI search visibility for Braze (braze.com) in the marketing automation in New York category — measuring how often the brand appears in AI-generated answers across all major LLMs.
AI Visibility Score
Braze has an AI share-of-voice score of 43% for the query category "marketing automation in New York".
Share of voice measures how often a brand appears in AI-generated answers, weighted by rank position and engine market share (ChatGPT 35%, Gemini 35%, Claude 20%, Perplexity 10%). A score of 100% means the brand appeared first in every prompt on every engine. A score of 0% means it did not appear in any response.
Engine-by-Engine Breakdown
Appearance rate is the percentage of intent prompts for the marketing automation in New York category in which Braze was named by each AI engine.
| AI Engine | Braze Appearance Rate | Composite Score Weight |
|---|---|---|
| Gemini | 60% | 35% |
| ChatGPT | 25% | 35% |
Competitor Rankings in AI Search
The following brands were most frequently cited by AI engines in response to "marketing automation in New York" queries. Citation share represents weighted appearance rate across all engines for this category.
| Rank | Brand | AI Citation Share |
|---|---|---|
| 1 | ActiveCampaign | 54% |
| 2 | Klaviyo | 38% |
| 3 | Marketo Engage | 38% |
| 4 | HubSpot | 38% |
| 5 | Mailchimp | 31% |
How this report was generated
AnswerMonk builds a network of 25–30 intent-based prompts for the marketing automation in New York category — the natural-language queries real buyers send to ChatGPT, Claude, Gemini, and Perplexity. Each prompt is fired against all four engines. Responses are parsed, brand appearances recorded, and results aggregated into the share-of-voice score above using a market-share weighted formula.
Data reflects AI engine outputs as of April 19, 2026. AI outputs change as models are updated and as new content enters training and retrieval indexes. Scores should be interpreted as a point-in-time snapshot. Full methodology →
Sample prompts used in this analysis
The following are representative examples of the buyer queries run across AI engines for the marketing automation in New York category. These reflect how real buyers phrase requests to ChatGPT, Gemini, Claude, and Perplexity when seeking recommendations.
- Find the best marketing automation in New York
- What are the most trusted marketing automation in New York?
- Which marketing automation has the highest customer ratings in New York?
- Compare the top marketing automation available
- Who are the most reputable marketing automation near New York?
- What marketing automation do industry experts recommend?
Brand appearance in responses to these prompts is what the share-of-voice score above measures. A brand that appears across all prompt types scores higher than one that only appears for a narrow query variant.
What this audit found: engine-level breakdown for Braze
Braze appeared across all tested AI engines for the marketing automation in New York category. This indicates broad citation source presence — the sources all four engines retrieve for this category include Braze. Primary competitors in these responses: ActiveCampaign, Klaviyo, Marketo Engage.
- Gemini: 60% appearance rate across tested prompts — consistent coverage
- Chatgpt: 25% appearance rate across tested prompts — partial coverage
The engine-level gap is the most actionable finding. Each AI engine retrieves from different source layers — ChatGPT prioritises web-browsed reviews and editorial content, Gemini pulls heavily from Google's indexed data, Claude retrieves from its training corpus plus browsed sources, and Perplexity surfaces real-time web results. A brand absent from one engine is typically under-represented in that engine's primary source type, not absent from the web entirely.
Improve AI search visibility for Braze
The primary levers for improving AI citation share in the "marketing automation in New York" category are: citation source coverage (appearing on the platforms AI engines retrieve most frequently), entity consistency across the web, and content that directly answers the buyer prompts run in this analysis.