AnswerMonk — AI Search Visibility Platform

Aviva AI Visibility — physiotherapy in Berlin | AnswerMonk

Analyzed on May 23, 2026 · Engines: ChatGPT, Claude, Gemini, Perplexity · Methodology

This report analyzes AI search visibility for Aviva (aviva.berlin) in the physiotherapy in Berlin category — measuring how often the brand appears in AI-generated answers across all major LLMs.

AI Visibility Score

Aviva has an AI share-of-voice score of 0% for the query category "physiotherapy in Berlin".

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 physiotherapy in Berlin category in which Aviva was named by each AI engine.

AI EngineAviva Appearance RateComposite Score Weight
Claude0%20%
Gemini0%35%
ChatGPT0%35%

Competitor Rankings in AI Search

The following brands were most frequently cited by AI engines in response to "physiotherapy in Berlin" queries. Citation share represents weighted appearance rate across all engines for this category.

RankBrandAI Citation Share
1Physiotherapie Marsch Berlin-Mitte GmbH46%
2Via Physio38%
3THERAPIUM33%
4ELYSIO Berlin25%
5Physiotherapie am Gendarmenmarkt25%

How this report was generated

AnswerMonk builds a network of 25–30 intent-based prompts for the physiotherapy in Berlin 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 May 23, 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 physiotherapy in Berlin category. These reflect how real buyers phrase requests to ChatGPT, Gemini, Claude, and Perplexity when seeking recommendations.

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 Aviva

Aviva did not appear in any AI engine responses for the physiotherapy in Berlin category across this audit. All four engines — ChatGPT, Gemini, Claude, and Perplexity — returned responses that did not include Aviva. This typically means the brand's citation source footprint (reviews, directories, press) is not yet present in the sources these engines retrieve for this category. Competitors that did appear: Physiotherapie Marsch Berlin-Mitte GmbH, Via Physio, THERAPIUM.

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 Aviva

The primary levers for improving AI citation share in the "physiotherapy in Berlin" 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.

How to improve AI citations →

GEO vs SEO: understanding the difference →

What are ChatGPT citations? →

What is AI share of voice? →

Run a free AI visibility audit for your brand →