About Femme Connection
Femme Connection is an Australian women's fashion brand with over 15 years in the market. They sell dresses, workwear, and occasion wear at prices that most Australian women can actually afford, with both an online store and physical retail locations. Their competitors include Rockmans, Suzanne Grae, and & Other Stories. When they came to Salt & Fuessel, the problem was not their product. It was that the right people could not find them anymore.
The Problem: Google Rankings Are No Longer Enough
Most business owners know how SEO works. You optimise your website, you rank on Google, and customers find you. That still works. But it is no longer the whole picture.
A growing number of shoppers are skipping Google entirely. They open ChatGPT, Perplexity or Google's AI and ask something like "where can I buy a flattering maxi dress in Australia for under $150?" The AI shows a few brand names. The shopper picks one and moves on.
When we ran Femme Connection's visibility audit in August 2025, we found:
- Showing up occasionally on Perplexity, ranked around position 4 or 5
- Zero results on Gemini, Claude and OpenAI
- Competitors already building presence across all four platforms
That is a problem that compounds quietly until it costs real revenue.
What Five Months of GEO Delivered
AI tools like ChatGPT and Perplexity are now a genuine discovery channel for retail shoppers. When a brand does not appear in those results, it is missing customers who are already ready to buy.
Results tracked via UpSearch, October 2025 to February 2026:
- 113.2% growth in visibility: the brand is being mentioned much more often than six months ago
- 16.2% mention share: appears in 16.2% of relevant AI search responses
- 63.5 sentiment score: overall positive tone compared to competitors
- Average rank 4.6: consistently appears within top AI recommendations
This represents a major shift in how customers are finding Femme Connection.
How We Got There
Making a Fashion Brand Visible to AI Search
AI tools will not recommend a brand they cannot verify. They cross-reference reviews, product data, policies, and third-party mentions.
Key issues:
- 3.2-star rating on ProductReview.com.au affecting trust signals
- No centralised data source for product, sizing, fabric, returns
- No Wikidata presence as a credibility marker
We fixed this by improving review responses, building an AI-readable data feed, and preparing structured entity signals.
Fashion Content That AI Engines Cite
We created content based on real user questions instead of Google keywords.
- Five long-form style guides built for AI extraction
- Rewritten product descriptions using sensory language (fabric feel, fit, comfort)
- Structured fabric and fit comparison tables for AI parsing
Keeping AI Signals Current
Outdated data reduces AI trust.
- Removed expired schema from 2025
- Rebuilt product feed prioritising new arrivals
- Added seasonal event signals (Valentine’s, Boxing Day, Afterpay Day)
- Included accurate delivery cut-off data
This ensures AI systems always recommend accurate, up-to-date information.
Your Customers Are Already Using AI to Shop
AI is already shaping how people discover and buy products. Brands that are structured for AI visibility are the ones being recommended.
The window to get ahead is still open, but not for long.
