AI SEO Audit Services to Improve AI Search Visibility and Technical Readiness

From 42% Traffic Decline After AI Overviews to Full Recovery in 5 Months

Client:

Mid-market B2B SaaS company offering project management software to marketing agencies and creative teams, with 180+ published blog posts, 40 service and feature pages, and a strong historical position in traditional organic search.

Challenge:

The client had lost 42% of organic traffic over six months following the wider rollout of Google AI Overviews. Their top-of-funnel blog content — the pages that had historically driven the most demo requests — was being summarised in AI Overviews without their brand being cited as a source. Rankings for commercial keywords were stable, but click-through rates from informational queries had collapsed. Their internal team could see the traffic decline in Search Console but had no diagnostic framework for identifying which pages needed restructuring, which needed content depth, and which needed schema or entity work.

Solutions:

• Full AI SEO audit across 220 priority URLs: content clarity, snippet eligibility, answer block coverage, and AI Overview readiness scoring
• LLM visibility review: brand mention consistency across service pages, About, Contact, Author, and Case Study pages
• Entity signal audit mapping brand, product, feature, industry, and audience entities across the site
• Schema markup validation: identified 34 invalid or misaligned FAQPage, Article, and Organization schema implementations
• Internal linking audit connecting blog content to commercial service and feature pages with descriptive anchor text
• Prioritised 90-day AI SEO roadmap with quick wins, medium-term content refreshes, and long-term topical authority expansion

Results:

• Full recovery of pre-decline organic traffic within 5 months of roadmap implementation
• Brand cited as a source in AI Overviews for 18 of 25 target commercial queries after content restructuring
• Demo requests from organic search grew 34% above pre-decline baseline as commercial page visibility strengthened

Multi-Location Healthcare Group, United Kingdom

From Invisible in AI Answers to 12 Priority Queries Citing the Brand as a Source

Client:

Private healthcare group with 8 clinic locations across the UK, offering diagnostic imaging, minor surgery, women's health, and specialist consultations, with 60+ service pages and a growing patient education content library.

Challenge:

The client had strong local search visibility for each clinic location but almost no presence in AI Overviews or answer engines for the condition-based and treatment-based queries that patients were increasingly using to research care options. Competitors — including national healthcare chains and NHS content — were consistently cited in AI answers while this group was not, despite having clinically stronger and more current content. The internal marketing team suspected an entity, structured data, or content structure issue but could not pinpoint the specific gaps.

Solutions:

• AI SEO audit focused on healthcare answer-engine readiness: content clarity, medical accuracy signals, author credentials, and citation-readiness
• EEAT and author signal review across every clinical content page: reviewer profiles, medical author bios, and last-reviewed dates
• Entity signal audit mapping consultants, specialisms, conditions treated, and clinic locations for consistency
• Structured data review: added MedicalOrganization, Physician, and MedicalCondition schema where suitable and compliant
• Content structure audit identifying missing summary blocks, symptom overviews, and treatment comparison sections
• Internal linking roadmap connecting condition pages, treatment pages, consultant profiles, and clinic locations

Results:

• Brand cited as a source in AI Overviews for 12 priority condition and treatment queries within 4 months of implementation
• Organic traffic to clinical content pages grew 78% as pages became eligible for both traditional and AI-driven answer surfaces
• Consultation booking enquiries from organic search increased 41% year-on-year, with specialist pages driving the majority of the lift

AI SEO Audit Relevance

This campaign reflects the same foundations reviewed in an AI SEO audit, including technical SEO, content quality, internal linking, structured data, topical depth, and search intent alignment.

Ecommerce Retailer, Australia

From No AI Roadmap to 27 First-Page Rankings and 3x Category-Page Conversion Growth

Client:

Mid-sized ecommerce retailer selling outdoor gear, camping equipment, and hiking apparel to Australian and New Zealand markets, with 850+ product pages, 60 category pages, and a limited but growing buying guide content library.

Challenge:

The retailer was ranking well for product-specific searches but losing visibility on category, buying guide, and comparison queries — exactly the terms where AI Overviews were most active in the outdoor and camping vertical. Their content lacked comparison tables, decision-support sections, and clear answer summaries, meaning AI systems were pulling information from editorial publishers and comparison sites rather than from the retailer that actually sold the products. The team had never conducted a structured AI SEO review and had no framework for prioritising improvements across a large product catalogue.

Solutions:

• AI SEO audit prioritising category pages, buying guides, and comparison content over long-tail product pages
• Content structure audit identifying missing comparison tables, decision-support sections, and answer summaries on 45 priority category pages
• Product and Review schema validation and expansion across the catalogue, including AggregateRating and Offer properties
• Entity signal work mapping brands stocked, product categories, activity types, and technical specifications
• Internal linking roadmap connecting buying guides to relevant category and product pages with descriptive anchor text
• Prioritised implementation plan splitting quick wins (schema, internal links, summary blocks) from medium-term content depth investments

Results:

• First-page rankings achieved for 27 category and buying guide keywords within 4 months of roadmap execution
• Category page conversion rate tripled after comparison tables, decision-support sections, and answer summaries were added
• Revenue from organic search grew 62% year-on-year, with buying guide pages emerging as the highest-assisting content type in the conversion path