Search entry points have shifted
AI summaries and Q&A interfaces increasingly occupy premium placements. If models cannot reliably understand your site, you will not be mentioned or cited.
Make your legacy site machine-readable for AI-era search in 2026. We preserve existing equity, retrofit schema and semantic architecture, and build an auditable loop from indexing to leads.
Last updated: 2026-03-05
AI summaries and Q&A interfaces increasingly occupy premium placements. If models cannot reliably understand your site, you will not be mentioned or cited.
Many legacy sites ship heavy JS rendering, weak information architecture, and duplicated or inconsistent content, which increases crawl cost and reduces semantic clarity.
Schema/JSON-LD is no longer a nice-to-have. It is the stable protocol that makes pages machine-readable for aggregation and reuse.
Legacy sites often have backlinks and branded-search habits. Without a migration and canonical strategy, a redesign can wipe that equity.
In 2026, visibility is measured beyond ranking: indexing, AI citation, and lead conversion. Legacy sites need instrumentation and feedback loops.
Not necessarily. We prioritize equity preservation: audit first, then replace templates and pages in phases. We migrate what can be migrated to reduce volatility.
It depends on the migration plan: URL mapping, 301 redirects, canonicals, sitemaps, and internal links. We ship in phases with monitoring and rollback options.
Because it describes roles, services, Q&A, and organization relationships in a stable format, reducing misinterpretation and improving machine parsing for aggregation.
We use deliverable checklists plus traceable data: pages and schema shipped, migration strategy applied, sitemap/canonicals effective, and improved coverage for key pages.