Lensa
lensa.com ↗Large-site SEO and AI search clarity for a national job platform.
A high-volume career platform with millions of pages where AI engines and classical crawlers needed clearer signals about which pages owned which topics.
Challenge
At job-board scale, the priority informational and editorial pages were getting lost inside the wider site. AI engines had a hard time mapping career topics to canonical hubs, and classical crawling was spread thinly across pages with overlapping intent.
Strategy
Tighten technical foundations and topical structure so both classical Google and AI engines can confidently identify, group, and cite the right pages on each career topic.
Work performed
- Site-wide internal linking review and topical clustering around recurring career and job-search themes.
- Schema audit across editorial, organization, and job-listing templates.
- Crawl access and llms.txt review for AI bot retrieval (GPTBot, ClaudeBot, PerplexityBot, Google-Extended).
- Direct answer rewrites on key informational hubs so the lead paragraph clearly addresses the page's primary question.
- Editorial guidance for AI-friendly career content and freshness cadence.
Outcome
- Improved crawl clarity across editorial and category pages.
- Strengthened topical coverage of priority career and job-search themes.
- Built stronger internal linking between hubs and supporting pages.
- Expanded AI-readable structure across priority informational content.
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