The six pillars of AI visibility
AwarenessAI assesses AI visibility across six connected areas that influence how AI platforms understand, represent and recommend a business.
How AI platforms form a view of your brand
Each pillar addresses a specific dimension of how AI platforms perceive and represent your business.
Clarity
We analyse your site architecture, semantic HTML and labelling so AI platforms can tell a product feature from a customer testimonial and understand what each page is about.
Consistency
We audit your digital footprint. When your description on one platform contradicts your website, AI platforms lose confidence, so we make sure your brand information is uniform across the sources AI reads.
Trust
We strengthen the authority signals AI platforms rely on: structured markup for authorship, verifiable award and certification citations, and mentions in high-authority sources.
Visibility
We map where your brand appears across the wider web. AI platforms lean heavily on third-party context, such as best-of lists, industry publications and community discussions.
Freshness
Especially for grounded AI tools that pull live data, we make sure your site signals ongoing activity, from last-modified headers and sitemap frequency to news and content updates.
Technical foundations
The under-the-hood work: making your site easy for AI crawlers to access and interpret, with structured data that AI platforms can read and cite.
What we analyse
A closer look at the specific checks within each pillar.
Clarity
Site architecture and semantic structureWe analyse your site architecture, semantic HTML and labelling so AI platforms can tell a product feature from a customer testimonial and understand what each page is about.
- Site architecture analysis
- Semantic HTML structure
- Content labelling and categorisation
- Machine-readable content hierarchy
Consistency
Digital footprint auditWe audit your digital footprint. When your description on one platform contradicts your website, AI platforms lose confidence, so we make sure your brand information is uniform across the sources AI reads.
- Cross-platform brand data audit
- Name, address and phone consistency
- Brand messaging alignment
- Social profile synchronisation
Trust
Authority signalsWe strengthen the authority signals AI platforms rely on: structured markup for authorship, verifiable award and certification citations, and mentions in high-authority sources.
- Schema.org authorship markup
- Award and certification verification
- High-authority source mentions
- Expert attribution signals
Visibility
Web ecosystem mappingWe map where your brand appears across the wider web. AI platforms lean heavily on third-party context, such as best-of lists, industry publications and community discussions.
- Third-party mention tracking
- Industry publication presence
- Community discussion analysis
- Best-of list inclusion
Freshness
Activity signalsEspecially for grounded AI tools that pull live data, we make sure your site signals ongoing activity, from last-modified headers and sitemap frequency to news and content updates.
- Last-modified header audit
- Sitemap update frequency
- News and content recency
- Ongoing activity signals
Technical foundations
Under the hoodThe under-the-hood work: making your site easy for AI crawlers to access and interpret, with structured data that AI platforms can read and cite.
- AI crawler access and robots rules
- Structured data (JSON-LD)
- Citation-ready technical setup
- Technical SEO foundations
See how your brand scores across the six pillars
Run a free AI visibility scan in about 30 seconds, or choose the plan that fits.