› how do i get cited in ai overviews
SEO & Performance
Findable by search engines and by the models that replaced them.
Technical audits, Core Web Vitals work and on-page architecture — plus the newer discipline of being quotable by AI answer engines. Everything measured before and after, with the raw numbers handed over.
What we hold ourselves to
<0.1
CLS target
<200ms
INP target
100%
Templates with schema
These are the budgets we build against and measure on handover — not a warranty. Where a target can’t be met we tell you which one and why, before you sign.
Evidence
Applied to all five showcase rebuilds — schema, text menus, static delivery.
What this actually includes.
Technical Audits
Find every reason a crawler gives up on your site.
- Crawl budget, index coverage and canonicalisation review
- Render-path audit — what the bot actually sees
- Structured data validation across templates
- Prioritised fix list with effort and impact estimates
Speed Optimization
Core Web Vitals, moved from red to green and kept there.
- LCP, INP and CLS profiled on real devices, not just lab runs
- Image, font and third-party script budgets
- Route-level code splitting and cache strategy
- Continuous monitoring so regressions surface in hours, not quarters
On-Page & Answer Engines
Written to be ranked, structured to be quoted.
- Entity and topic architecture across the site
- Internal linking that distributes authority deliberately
- Extractable answer blocks for AI Overviews and chat search
- Schema.org coverage for every content type you publish
Surfaces covered
- AI Overviews
- Perplexity
- ChatGPT Search
- Bing
Typical stack
- Lighthouse
- CrUX
- Schema.org
- Search Console
- RUM