Key Results
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1
35% year-over-year organic traffic growth
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2
More than 50% increase in LLM-assisted visibility
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3
2% of all sessions driven by ChatGPT, Perplexity, and Gemini referrals
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4
Higher-quality leads from AI-recommended content
Executive Overview
Generative AI is changing how users search for information. A leading B2B content agency recognised this change as an opportunity to strengthen its presence on emerging AI platforms like ChatGPT, Perplexity, Gemini, and Microsoft Copilot.
To this end, the agency partnered with an AI-SEO specialist team to move from traditional search optimisation to a modern strategy designed for AI-native visibility.
Through structured content, schema markup, and AI-specific technical enhancements, the agency made its web pages easier for AI systems to index, retrieve, and cite.
The Challenge
As LLM-driven searches increase, users rely more and more on AI assistants that summarise answers rather than linking to websites. This shift brought new challenges:
- Traditional SEO signals were no longer adequate.
- LLMs need structured, machine-readable data.
- Search-integrated AIs need fast, reliable crawl access.
- Emerging crawlers like OAI-SearchBot, PerplexityBot, and Google-Extended have unique requirements.
- Content had to be “quotable” and easy for AI models to interpret.
The agency needed a modern approach that aligned with Answer Engine Optimization (AEO): a new stage of SEO focused on how AI retrieves, synthesises, and cites content.
The Solution
The team implemented a high-impact, AI-native SEO strategy focused on technical precision andLLM-friendly content design.
LLM Crawler Access and Indexing
The agency’s robots.txt file was updated to allow key AI crawlers, including OAI-SearchBot, Google-Extended (Gemini), Bingbot (Copilot), PerplexityBot, and ClaudeBot. OAI-SearchBot was enabled specifically for search indexing, while GPTBot (OpenAI’s model-training crawler) remained optional since it does not affect LLM search visibility.
Structured Data and Semantic Formatting
The site was rebuilt using Article and FAQ schema, breadcrumb markup, clear HTML heading structure (H1–H3), and snippet-ready introductions and definitions. This helped AI systems parse and cite content accurately.
IndexNow Implementation
To improve real-time retrieval, the team implemented IndexNow. This instantly notified Bing of new or updated content, accelerating visibility across Bing-powered AI platforms such as Microsoft Copilot and Perplexity.
AI-Friendly Content Architecture
Content was rewritten and organised into topic clusters and interlinked pillar pages. Clear, concise paragraphs and entity-linked terminology were used, along with quotable one-sentence definitions. This helped to position the agency as a trusted, authoritative source in its field.
Key Benefits and Results
The strategy delivered fast, measurable improvements:A 35% increase in organic traffic within a year
More than 50% growth in AI-search citations across ChatGPT, Gemini, and Perplexity
2% of total website traffic is from sessions directly from AI platforms, which is well above industry norms
Improved engagement and lead quality from AI-optimised landing pages
Stronger visibility for high-value pages, including AI-focused service offerings
Client Perspective
“We’re seeing visibility from channels that didn’t even exist before. Being cited by AI platforms has changed our inbound lead flow. It’s clear that AI-native SEO is the future.”
Head of Strategy, B2B Content Agency
Future Outlook
The agency plans to continue improving LLM-driven visibility by:- Maintaining ongoing schema updates
- Refreshing high-ranking content to stay AI-relevant
- Monitoring AI crawler access and website health
- Expanding structured, quotable content formats
- Building authority through digital PR and backlinks
As an early mover in AI-native optimisation, the agency is positioned for the next stage of search — where AI, not traditional search engines, drives discovery.
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