Important fixes have to be repeated page by page
The same issue keeps showing up across templates or catalogue groups, but the current workflow cannot scale efficiently.
SEO Automation
SEO Automation for bulk improvements across large sites and catalogues
If your SEO issues repeat across templates, products, or page groups, we help automate the analysis and fixes so the work can scale cleanly.
For large sites where repeated SEO issues need rules, workflows, validation, and controlled rollout rather than manual fixes forever.
Primary focus areas
Data source
Detection rules
Controlled action
Reporting
Recognition signals
You probably need this when...
SEO Automation becomes important when the site is large enough that metadata, indexation, linking, and template issues repeat across hundreds or thousands of pages.
Search Console data is not being turned into actions
The site has clear signals in GSC, but there is no repeatable process for using them to drive fixes.
Bulk page opportunities are being missed
Title, meta, internal linking, and other repetitive improvements stay untouched because manual implementation is too slow.
Catalogue-wide changes feel risky or unclear
Teams know a fix should happen at scale, but they lack a controlled process for rolling it out safely.
SEO debt keeps rebuilding after every update cycle
Without automation, the same low-value cleanup work returns across the site faster than teams can clear it.
How it works
How we approach SEO automation
We identify repeated SEO work that can be detected, controlled, shipped, and validated without creating new risk.
- 01
Understand the repeated work
The recurring SEO issues, data sources, page groups, and manual decisions slowing the team down.
- 02
Find reliable rules
Detection logic, guardrails, approval points, and exceptions that make automation safe to use.
- 03
Prioritise controlled action
Ship the workflows that can be queued, reviewed, rolled out, and validated across page sets.
Automation logic
Rules first. Bulk action second.
Automation is only useful when detection, decision logic, and validation are clear enough to avoid creating more SEO debt at scale.
Detection
Repeatable rules
Turn recurring SEO gaps into monitored conditions.
Control
Guardrails
Prevent bulk changes from creating duplicate, thin, or risky output.
Validation
After-action checks
Confirm changes were shipped and processed by search engines.
What we actually look at
SEO Automation investigation areas
A clear view of the page groups, metadata patterns, and repeated issues suitable for automation.
Data sources
- Search Console exports
- CMS or platform data
- Indexation cohorts
Detection
- Metadata patterns
- Template rules
- Content quality flags
Workflow
- Change queues
- Approval workflows
- Rollback logic
Validation
- Internal link opportunities
- Monitoring views
- Reporting outputs
Evidence and proof
How this shows up in real work
Automation proof comes from repeated opportunities that can be detected, queued, shipped, and validated across large page sets.
Featured project
17,640+ products: what to fix first
Anna Davies shows how catalogue data and Search Console evidence can reveal repeated template issues and prioritise product and collection fixes in batches, rather than chasing individual URLs one by one.
3,289
Active products with weak or missing SEO metadata
649
Active products with imported HTML clutter
1,725
Active in-stock products identified as actionable opportunities
Problem
Thousands of small catalogue gaps spread across products, collections, and historical content.
Action
Connected Shopify and Search Console, then shipped repeatable product and collection updates in batches.
Result
A prioritised opportunity backlog for catalogue improvements by data and commercial relevance.
Recent work built around repeated visibility failures
Project example
Premium Appliances
Large catalogue SEO prioritisation
View project context →Diagnosis file #006
Thousands of Shopify products not indexed
Problem
Thousands of live Shopify products were discoverable, but only a small share were indexed.
Diagnosis
Faceted URLs, weak internal links, and uneven template quality were pulling crawl attention away from priority products.
Outcome
Index coverage improved after crawl waste and product discovery issues were fixed.
Diagnostic entry points
Common problems we investigate
Start with the symptom you can see. The service work then traces that symptom back to the page, template, crawl, or content system causing it.
Symptom
Search Console errors
Search Console reports errors and warnings for indexing, mobile, security, and more.
Symptom
Title tags weak
Title tags are one of the strongest on-page signals and the main headline in search results.
Symptom
Crawl budget wasted
Crawl budget is the number of pages Google will crawl on your site in a given period.
Symptom
Sitemap errors
Sitemaps help Google discover your URLs.
Reference material
Relevant guides
These are deeper reference pages for the systems and technical decisions behind seo automation.
Guide
Google Search Console guide
How to use Google Search Console: indexing, performance, and troubleshooting. Get the most out of GSC for SEO.
Guide
Content Quality for Large Sites
Improve content quality across large websites, templates, and catalogue systems. Focus on uniqueness, usefulness, and index-worthy page quality.
Guide
Programmatic SEO: Planning, Quality and Indexation
Plan programmatic page sets with stronger templates, indexation controls, and internal linking that works across large sites.
Outputs
What the work produces
The output is designed for decisions and implementation, not for filling a report with every possible SEO issue.
Prioritised automation opportunities
A ranked list of repeated SEO issues and bulk improvements worth addressing first.
Clear workflow and guardrail recommendations
We define how the automation should work and where manual review still matters.
Action plan for GSC-driven and page-set improvements
Recommendations are tied to the sections and signals most likely to improve visibility efficiently.
Optional implementation support
If needed, we can help move the automation from idea to rollout and validation.
Questions before starting
What kinds of SEO work are good candidates for automation?+-
The best candidates are repeated fixes across templates, catalogues, or page groups where clear rules and safe rollout checks can be defined.
How long does SEO Automation take?+-
The first useful diagnosis is normally built around a focused evidence pass rather than a long discovery phase. Larger catalogues, generated page systems, and migration issues can take longer because the work needs to be checked by template, URL cohort, and commercial priority.
Who implements the recommendations?+-
That depends on the team and platform. We can hand over developer-ready recommendations, work alongside an internal SEO or development team, or support implementation where the fixes need closer technical interpretation.
Can this work alongside an existing agency or in-house team?+-
Yes. Better Ranking is often most useful as the diagnostic and prioritisation layer: identifying the cause, setting the fix order, and helping existing teams focus on the changes most likely to move search performance.
If repetitive SEO issues stay manual, the site keeps accumulating search debt faster than teams can remove it.
Commercial next step
Scale repeated SEO fixes with control
Find the rules, workflows, and validation checks worth automating before the backlog keeps growing.
Plan SEO automation