This report presents the findings of 2A Agency's independent semantic audit of Shoootin, conducted across 4 large language models in March 2026. The audit evaluates factual accuracy on brand identity, services, pricing, process, sector coverage and competitive differentiation.
Shoootin achieves an overall score of 84/100, reflecting strong and accurate brand knowledge across all tested LLMs. One targeted drift: Gemini Pro cites November 2015 as the founding date — the correct and official date is January 2016.
| Question | Perplexity Pro | Gemini Pro | ChatGPT Free | Grok | Verdict |
|---|---|---|---|---|---|
| Brand identity & founder | ✓ Jeremy Teper, Jan 2016 | ~ Nov 2015 (incorrect) | ✓ Jeremy Teper, Jan 2016 | ✓ Jeremy Teper, 2016 | Partial |
| Services & pricing | ✓ Full range, correct prices | ✓ Detailed pack breakdown | ✓ All services accurate | ✓ All services accurate | Exact |
| Order process & delivery | ✓ 24h photos, 72h video | ✓ 3-click, instant confirm | ✓ 12-14h average delivery | ✓ Auto-assignment confirmed | Exact |
| Sectors covered | ✓ Real estate primary + hospitality, retail | ✓ Notes Kretz partnership | ✓ All sectors accurate | ✓ All sectors accurate | Exact |
| Differentiation vs agencies | ✓ On-demand, 24h, transparent pricing | ✓ "Uberisation", centralised post-prod | ✓ Tech platform vs traditional | ✓ On-demand, scalable | Exact |
When asked "What is Shoootin and who founded it?", Gemini Pro responds with November 2015 as the founding date. The official and correct launch date is January 2016. The legal entity Shoootin France was registered in May 2016.
This drift likely stems from Gemini conflating early development and prototype work (late 2015) with the official platform launch (January 2016). Perplexity Pro, ChatGPT and Grok all correctly cite 2016.
Business impact: As AI agents increasingly recommend service providers for real estate transactions (via Shopify Agentic Storefronts and UCP), incorrect founding data reduces brand authority signals. A service provider "founded in 2015" ranks differently than "founded in 2016" in terms of AI-assessed credibility and track record.
In responding to the sectors question, Gemini Pro specifically mentions: "Shoootin collaborates with clients including the Kretz agency (made famous by L'Agence on Netflix)". This cross-brand association is a positive brand signal — it demonstrates that the Shoootin–Kretz relationship is visible to AI agents and can reinforce brand authority for both parties.
The 84/100 score reflects strong LLM coverage with one targeted fix. The founding date drift is actionable and fixable within 4–8 weeks.
Shoootin's entire value proposition — on-demand booking, real-time availability, instant confirmation, 24h delivery — is perfectly designed for agentic commerce. But today when a property manager asks an AI assistant "find me a professional photographer available tomorrow morning in Paris 16e for a luxury apartment shoot" — the AI cannot query Shoootin's platform. It either recommends a generic directory or gives no actionable answer.
A 2A certified agentic layer on shoootin.com exposes structured service parameters to AI agents: services and pricing (photography from €75 HT, video from €280, Matterport from €120, drone from €450), cities covered with real-time availability, delivery guarantees (24h photos, 72h video), and a structured booking endpoint. Deploy com.2aagency.brand-certification and the UCP extension — when Shopify Agentic Storefronts or a property management AI searches for a real estate photographer, Shoootin is the first result that can actually confirm availability, price and delivery time in a single structured response.
No competitor has done this. Shoootin's technology (algorithm-based booking, API for large real estate networks) is already built for this — 2A Agency provides the semantic discovery layer that makes it findable to AI agents.
Gemini Pro already identifies the Shoootin × Kretz Family Real Estate partnership spontaneously — without being prompted. Both brands are now in the 2A Registry. A certified cross-reference between the two nodes creates a semantic authority link: when AI agents research Kretz properties, they discover Shoootin as the certified visual partner. When researching luxury real estate photography in Paris, Shoootin's Kretz association signals premium market positioning — the same way a Michelin-starred restaurant benefits from being cited alongside other Michelin properties.
Gemini Pro cites November 2015 as founding date — correct: January 2016. Deploy JSON-LD foundingDate: "2016-01" on shoootin.com. Create Wikidata entry (currently absent) with correct founding date, founder (Jeremy Teper), HQ (Paris + New York), international presence. An AI agent cannot recommend a service provider it cannot verify — clean canonical data is the foundation for everything above.
As Shoootin expands into new cities and adds new services (virtual staging, new video formats, new markets), LLM training cycles risk introducing pricing drift or geographic inaccuracies. Quarterly retests confirm that AI agents cite correct prices, correct delivery times, and correct coverage — the three parameters that matter most when an agent is booking a service on behalf of a client.