Screaming Frog analysis
- Status codes and redirect chains
- Canonical and indexability checks
- Titles, descriptions, headings and duplicates
- Internal linking, crawl depth and orphan-page discovery
BAGAI treats SEO as a connected growth system: crawlability and indexation, content architecture, real search demand, page usefulness, internal linking and conversion intent. The goal is not more pages—it is stronger pages that deserve to rank and help the right visitors act.
A crawl should produce a prioritised action list, not a spreadsheet of issues without commercial context.
Search Console and competitive research help BAGAI distinguish real demand from content ideas that merely sound plausible.
BAGAI can monitor new opportunities frequently without mass-publishing weak pages. Every publish decision should have a defined search intent, useful angle and internal role.
Only when the topic deserves a page. BAGAI can monitor opportunities daily, but publishing is quality-gated. Updating an existing strong page is often better than creating another thin URL.
Yes. Paid search data can reveal high-intent queries and conversion language. It does not directly improve rankings, but it can make SEO prioritisation more commercially informed.
Typical work can include indexability, response codes, canonicals, titles, headings, duplicate content, internal linking, crawl depth, structured data, sitemaps and rendering checks.
No. BAGAI combines competitive tools with Search Console, actual site performance, customer language and paid-search data where available.
Start with the highest-impact problem, then connect acquisition, tracking, reporting and automation where it adds value.