Technical Discovery and Foundation
Timeframe: Month 1-2
Work to verify:
- Audit crawlability, indexation, rendering, canonicalization, site architecture, page templates, and material technical dependencies.
- Map scientific, pipeline, investor, partner, talent, and other legitimate search needs to clear page owners and destinations.
- Review priority scientific pages for accuracy, visible ownership, supporting evidence, and content-governance requirements.
- Validate structured data only where it accurately describes visible content; do not treat markup as a ranking shortcut.
Evidence at this stage: completed fixes, cleaner crawl and indexation signals, reliable measurement, and a prioritized backlog are more defensible than expected ranking gains.
Useful checks:
- Technical issues closed by severity and owner
- Priority pages discovered, rendered, and indexed as intended
Early Coverage and Query Discovery
Timeframe: Month 3-5
Work to verify:
- Publish or improve accurate pages for scientific concepts, programs, platforms, indications, partnerships, company information, and other documented search needs.
- Strengthen existing priority pages where purpose, evidence, or internal relationships are unclear.
- Build contextual internal links between platform, pipeline, therapeutic-area, publication, and company pages where those relationships genuinely help readers.
- Begin outreach only when the company has substantive evidence, expertise, research, or news that merits independent attention.
Evidence at this stage: relevant impressions, new query discovery, indexed priority content, and qualified engagement can show whether coverage is expanding. Impressions in Google Search Console typically trend upward, even while average position is still moving from page 5 to page 2.
Useful checks:
- Growth in relevant non-branded impressions
- Changes in visibility for scientific and stakeholder query groups
Meaningful Visibility and Conversion Learning
Timeframe: Month 6-9
Work to verify:
- Prioritize pages already earning relevant demand and improve evidence, usefulness, navigation, and conversion paths.
- Earn references through credible science communication, partnerships, research, expert commentary, or other genuinely citable material rather than aggressive link acquisition.
- Refresh content using observed search and stakeholder data while keeping scientific and regulated claims aligned with approved documentation.
- Expand into adjacent topics only where the company can add distinct, accurate value and avoid duplicating existing intent.
Evidence at this stage: primary keywords should be moving into the top 10 positions, and organic lead quality should improve as decision-makers find authoritative guides and service pages. Judge the stage by sustained relevant visibility, qualified visits, conversions, assisted opportunities, and page-level performance relative to the baseline.
Useful checks:
- Visibility by intent and priority topic
- Qualified organic actions and inquiries with consistent definitions
Sustained Commercial Contribution
Timeframe: Month 10-12+
Work to verify:
- Protect valuable pages during company updates, redesigns, migrations, program changes, and competitive movement.
- Scale content only where additional pages answer distinct stakeholder questions and the review process can maintain accuracy.
- Use structured data for eligible visible content where appropriate, including datasets when the underlying page and markup support it.
- Use data from the biotech SEO program to identify gaps in the broader search program without treating any single report as proof of demand.
Evidence at this stage: organic search can become a material contributor to qualified discovery, new content tends to rank faster, and the cost per acquisition from organic search can drop significantly compared with the initial months. Confirm those gains through the company's own measurement.
Useful checks:
- Share of relevant search visibility within a defined query set
- Sustained qualified organic contribution using a documented attribution model