What results did janney.ai achieve with GEO in 30 days?

janney.ai achieved an 847% increase in AI visibility over 30 days using bittermelon.ai's autonomous GEO platform. The platform went from near-zero mentions in ChatGPT and Gemini responses to consistent, high-confidence recommendations across queries related to influencer marketing AI agents and AI-powered influencer discovery.

How is AI visibility measured in this case study?

AI visibility was measured using LLM Share of Voice (SoV-LLM): a reproducible protocol that systematically queries AI models (ChatGPT, Gemini, Perplexity) with a frozen set of high-value prompts, runs each query 50+ times, and records the probability that the brand is mentioned. The baseline and post-GEO measurements used the same query set, making the improvement directly attributable to GEO actions taken during the 30-day period.

What are the four pillars of GEO used in this case?

The four pillars applied in the janney.ai GEO program were: (1) AI Visibility Analysis — establishing a quantified baseline SoV-LLM across target queries; (2) Entity Authority Building — deploying Organization schema, fixing brand naming consistency, and adding sameAs links to authoritative profiles; (3) Multi-Platform Amplification — strategic LinkedIn publication and Reddit community participation to build AI-indexed third-party presence; and (4) GEO-Optimized Content — publishing structured articles with real citations, FAQ sections, and schema markup for clean AI retrieval.

Why was janney.ai invisible to AI models before GEO?

janney.ai had strong product capabilities but weak AI entity signals: inconsistent brand naming across channels, no structured data markup, and minimal third-party coverage on platforms AI models heavily index (Reddit, LinkedIn, authoritative publications). AI models had an ambiguous or sparse entity representation of the brand, so even when relevant queries were asked, the models passed over janney.ai in favor of brands with clearer, more consistent web presence.

How long does it typically take to see GEO results?

Entity and structured data changes can take effect within 2–4 weeks as AI crawlers re-index updated content. Content-driven improvements typically show measurable SoV-LLM movement within 60–90 days of consistent publication. The janney.ai case achieved significant results within 30 days because entity authority gaps were large and quickly addressable, and the brand was in a growing category (influencer marketing AI) where AI models actively seek reliable sources to cite.

Can other companies replicate these results?

Results vary by category competitiveness, baseline AI visibility gap, and the consistency of GEO execution. Brands in growing or specialized categories where AI models have limited reliable sources to cite tend to see faster improvement. The methodology — baseline measurement, entity hardening, multi-platform amplification, and structured content publication — is reproducible. Bittermelon.ai automates the full pipeline, enabling consistent execution without dedicated manual headcount.

How janney.ai Increased AI Visibility by 847% in 30 Days with bittermelon.ai

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Case Study

March 3, 2026

10 min read

Althrun Sun

Founder, bittermelon.ai · GEO & AI Visibility Expert

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