Low AI citations and poor agentic readiness are limiting Forever New's competitive AEO potential.
Forever New holds a moderate share of LLM-driven brand mentions and answers among Australian fashion retailers, but lags behind in citations from AI-generated content and domain authority.
- The site’s AI and agentic readiness are limited, with most key machine-readable contracts and agent discovery features missing.
- Page-level site quality is also hindered by issues in data and content structure as well as mobile optimisation.
- Improving structured data, agentic signals, and enhancing page-level markup will be critical to boost visibility and trust with AI-powered engines and future agent-driven discovery.
Quick wins
— top 3 highest-leverage movesVisibility
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Prompt × Model Heatmap
| Prompt | CClaude Haiku | AIOpenAI GPT Mini | PPerplexity Sonar |
|---|---|---|---|
| discovery2 prompts | |||
Best places to find elegant women's dresses for special occasions in Australia | |||
What are the must-have wardrobe staples for women seeking a contemporary look this season? | |||
| use case2 prompts | |||
Suggestions for layering workwear in changing Melbourne weather | |||
What are good outfit ideas for a smart-casual dinner in Sydney? | |||
| comparison2 prompts | |||
Chiffon vs cotton dresses for spring events—what's more comfortable? | |||
How do boutique women's fashion stores compare with high street brands in terms of clothing quality? | |||
| alternative3 prompts | |||
Where can I shop for flowy summer dresses besides major retailers? | |||
Other options for finding feminine and chic evening bags in Australia | |||
Alternatives to department stores for buying on-trend accessories for women | |||
| buying intent2 prompts | |||
Is it worth investing in timeless midi dresses for a versatile wardrobe? | |||
Are premium women's blazers a good buy for office wear in Australia? | |||
| troubleshooting2 prompts | |||
Why do some satin skirts lose their shape after washing? | |||
How can I keep pastel-coloured tops looking fresh after several wears? | |||
| pricing2 prompts | |||
What is the typical cost of casual day dresses with modern designs in the Australian market? | |||
Average price for contemporary women's outerwear at fashion boutiques in Australia | |||
Citations
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Sentiment
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Site Quality + DQM
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Agentic readiness
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Recommendations
Address the failing agentic checks by publishing a comprehensive robots.txt, an up-to-date XML sitemap, llms.txt, and explicit AI bot rules. This will improve how LLM-driven agents and AI search engines crawl, interpret, and trust your site, paving the way for better AI visibility and more accurate answers.
Upgrade structured data (e.g., Schema.org Product, Organization, Breadcrumb) on primary navigation and product pages, and refine HTML heading and sectioning. This strengthens site quality signals for AI, helps LLMs surface relevant snippets, and increases eligibility for rich results and in-answer citations.
Resolve mobile optimisation failures to ensure your site is fast, responsive, and legible on all devices, further raising the geo (Site Quality) score and making your content more accessible to users and AI bots alike.
Develop comparison guides, styling tips, and trend pieces (e.g., 'Forever New vs Witchery – Style and Value Compared') to target generative engine queries and LLM prompts. This invites more direct citations, especially as Witchery and Country Road currently garner more answer-share and citations.
Expose machine-readable relationships (e.g., sitemap, author, API endpoints) via HTTP Link headers and enable Markdown format negotiation for AI and agents seeking structured handshakes and summaries.
Publish .well-known/api-catalog and complete OAuth Authorization Server and Protected Resource discovery endpoints. This futureproofs the site for agent-based commerce and data integrations.
While most model sentiment is neutral, aim to shift this balance towards positive by curating PR and influencer partnerships that generate buzz and positive coverage in brand-relevant AI-cited outlets.