Half your rankings now resolve inside an answer, not a link.
Search is splitting into two surfaces: the results page you've optimized for a decade, and the AI answer that increasingly replaces it. We work both - technical foundations at enterprise scale, and the structure and authority that gets you cited by the systems answering the question
Why enterprise SEO stalls
Recommendations that never ship.
Page-level work stops scaling.
Crawl budget waste.
Migrations that kill traffic.
AI answers stealing clicks.
What we do
Technical SEO at scale
Crawl and index management, rendering, architecture, internal linking, faceted navigation control, log file analysis, structured data, Core Web Vitals. Rendered as engineering work, not consultancy; we can ship the work, not just design it.
Migration SEO
Replatforms, domain transitions, IA shifts. URL inventory, one-to-one redirect mapping, parity testing, cutover and monitoring. Traffic as a metric.
Content strategy and operations
Topic architecture and content models that reflect the real-world sustainability of the information on your site. Editorial processes, briefs, and quality standards, so that the work doesn't all happen in one sprint.
Keyword and demand research
Mapping demand, long tail and head, to your architecture and content strategy.
Answer engine optimization (AEO / GEO)
Structuring of content for extractable meaning: clear question/response format, entity clarity, schema, source credibility. Monitoring of presence across answer surfaces.
International and multi-locale SEO
Hreflang, regional architecture, market-level content strategy.
E-commerce and programmatic SEO
Category/product architecture, faceted navigation, template systems that produce useful content at scale, rather than redundant URLs.
Digital PR and authority
Defense and attack: coverage, third party citation, and authority building. Even more critical now that an algorithm is choosing what to cite.
Measurement
Search Console, GA4, rank tracking, share of voice, revenue, pipeline, etc.
Getting cited by the systems answering the question
Traditional SEO targets a ranked list of pages; answer engines instead present a synthesized summary and cite a few sources. Being cited by an answer engine requires different signals to rank in a list:
Extractable structure
Clear question/response format allows the engine to confidently cite your content
Entity Clarity
Defining what your content is about so engines can match it to searches
Schema/Structured Data
Beyond content, a machine-readable set of data points that engines can use directly
Source Credibility
Named sources in your content allow engines to verify claims and cite you as a source
Freshness
Currency: signals that your content is up to date, relevant, and reliable for queries where timing is important
Monitoring
Visibility within answers: engines are black boxes, but you always know when you're appearing in answers for your target queriesFrequently asked questions
Get a range for your SEO
Start with an SEO and AI visibility audit
Technical, content, and authority reviewed — plus where your brand currently appears in AI answers for your priority queries.
