AI SEO / AIO.
Optimising your content and site structure for AI-driven search and answer engines, alongside traditional search rankings.
What this covers.
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An audit of how your content currently appears in AI-generated answers
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Structured data and content formatting that AI systems can parse and cite
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Content strategy built to answer questions directly and clearly
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Technical setup for AI crawlers alongside traditional search engine crawlers
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Monitoring of visibility across AI search tools, not just traditional rankings
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Ongoing adjustment as AI search behaviour continues to change
A clear process from audit to compounding growth.
Five stages, each ending in something you can see, click or sign off.
- 01/
Technical audit
Full crawl and technical audit, prioritised by projected ranking and revenue impact rather than ticket count.
DELIVERABLEPrioritised audit and fix list
- 02/
Technical fixes
Indexing, Core Web Vitals and template-level SEO issues fixed in priority order.
DELIVERABLEFixed technical foundation
- 03/
Content & CRO strategy
A shared content architecture and conversion testing roadmap built around real search intent.
DELIVERABLEContent plan and test roadmap
- 04/
Execution
A rolling editorial and testing calendar executed against the strategy.
DELIVERABLEPublished content, live tests
- 05/
Reporting & optimisation
Monthly reporting tying performance directly to revenue, with the plan adjusted against what is converting.
DELIVERABLEMonthly report and backlog
The right tools for your growth programme.
We choose what your team can maintain. If a simpler tool does the job, we will say so.
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SEO & ANALYTICS
- Screaming Frog
- GA4
- Google Search Console
- Ahrefs
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CONTENT
- HubSpot
- Contentful
- Editorial calendar tooling
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CRO & TESTING
- Hotjar
- Google Optimize alternatives
- Server-side testing
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REPORTING
- Looker Studio
- Revenue attribution modelling
Questions about AI SEO / AIO.
Answers to what clients ask us most before a project starts. Don't see yours here - just ask.
Contact Us01/ What is AIO / AI SEO?
Optimising for how AI-powered search and answer tools find, understand and cite your content, which uses different signals to traditional search rankings.
02/ Does this replace traditional SEO?
No - it works alongside it, since traditional search and AI-driven search both matter and often reward similar underlying content quality.
03/ How do you measure success here, since it is a newer field?
Visibility tracking across AI tools where possible, combined with the same content-quality fundamentals that support traditional SEO.