AI SEO Case Studies — Real Citation Growth, Real Revenue

A UK-headquartered B2B project-management SaaS company with strong traditional SEO was being completely ignored by ChatGPT, Perplexity, and Google AI Overviews. Buyers researching "best project management tool for marketing teams" and "workflow automation for UK agencies" were receiving recommendations naming three US competitors — never our client. Despite ranking in the top 5 on Google for their primary keywords, zero AI citations meant zero visibility in the channel where their buyers were increasingly starting their research.

• Built a complete topical map covering project management, team collaboration, marketing operations, and adjacent buyer-intent entities — the foundation of all subsequent Generative Engine Optimisation work
• Restructured 40 product and feature pages with FAQ schema, HowTo schema, and information-gain comparison sections
• Configured llms.txt and robots.txt to grant explicit access to GPTBot, ClaudeBot, PerplexityBot, and Google-Extended
• Built brand entity authority through 18 third-party citations on UK and international SaaS publications
• Updated Wikipedia disambiguation references and refined the Wikidata entry for the brand entity — critical for LLM SEO performance
• Implemented weekly AI visibility tracking across all six major AI platforms

A well-established employment law firm in South East England had strong traditional Google rankings for competitive keywords. However, they were completely invisible in Google AI Overviews — the AI-generated answer box appearing above traditional results. High-intent users searching "constructive dismissal UK" and "unfair dismissal solicitor near me" were receiving direct answers that cited two larger national firms. Despite the firm's genuine expertise, AI platforms had no structured way to verify their authority. This is a challenge our AI SEO for law firms service is specifically designed to solve.

• Audited 90 existing legal guide pages for E-E-A-T signal gaps, particularly around authorship signals and credential transparency — legal content falls under Google's YMYL classification requiring the highest trust standards
• Rewrote 24 priority pages with full Article schema, including authoritative author entities and named legal credentials for every solicitor
• Built solicitor profile pages with full Person schema and E-E-A-T credentials for each fee-earner — including Law Society admissions, years of practice, and published case commentaries
• Secured 11 third-party citations across UK legal media, HR publications, and industry press — including The Law Society Gazette and Legal Cheek
• Created an evergreen "UK employment law library" with 40 question-format guides specifically optimised for AEO — the exact question-answer format AI platforms extract
• Deployed Answer Engine Optimisation strategies targeting the conversational legal queries clients actually ask AI assistants

A Bristol-based B2B cybersecurity vendor with a strong UK enterprise client base was losing pipeline to three US competitors in every AI search query. Decision-makers asking ChatGPT or Google AI Overviews for "endpoint detection vendors UK", "managed detection and response providers", and "zero trust architecture for UK enterprises" were consistently given recommendations that excluded our client entirely. Despite having ISO 27001 certification and genuine technical depth, their entity signals were too weak for AI platforms to trust them as a source.

• Engineered 12 deep technical guides — zero trust architecture, EDR, MDR, SIEM, ISO 27001 compliance — with citation-ready answer structure designed for AI extraction
• Built a UK cybersecurity glossary of 95 entity-defined terms, structured for retrieval-augmented generation (RAG) — exactly the format AI platforms process
• Secured 14 high-authority third-party citations across UK trade press, infosec publications, and analyst commentary — the sources AI platforms trust when evaluating security expertise
• Updated Wikidata entries and entity stack across LinkedIn, Crunchbase, G2, and category review platforms — creating consistent brand signals AI can verify
• Restructured 28 product and feature pages with full SoftwareApplication schema and Speakable annotations for voice search visibility
• Applied Google AI Overviews optimisation specifically targeting B2B technology buying-intent queries