We develop keyword research engines that operate perpetually and not as a project. It includes automated discovery of keywords, search intent categorization, topic clustering into semantic buckets, competitive keyword gaps analysis, and generation of long-tail keywords.
We develop SEO programs that automatically create and update pages on a large scale, ranging from several hundred to several thousand pages. These systems include the creation of geo-based dynamic landing pages, a dynamic internal linking strategy for pages, and an indexation strategy, including crawl budgeting.
We create an SEO content creation pipeline consisting of SEO optimized blog posts, landing pages, meta tags, and schema markup. The pipeline also includes content creation, rewriting, and updating, and multilingual content automation for multilingual organizations.
We generate location-based landing pages, optimize Google My Business Profiles, conduct NAP audits for directory sites, and conduct large-scale local ranking.
We generate a pipeline for SEO services for organizations carrying out e-commerce activities on a large scale. The pipeline includes product page optimization, category page generation, and schema markup creation for products.
We automate the process of executing on-page SEO optimization operations, which can only be automated due to their high volume: generation of page titles and meta tags, header optimization, internal links implementation, creation of image alt text, and schema markup implementation on a large number of pages.
We implement automated content publication workflows by using WordPress and headless content management systems, which include processes of content scheduling/drip, content uploading through an API, versioning, and content approval before publication.
We design automated internal link-building solutions, which involve implementing related articles engines, contextual internal links, optimization of anchor texts, and orphan page detection with subsequent internal link implementation.
The service involves automated tools for backlinking and outreach processes, including identifying opportunities for backlinks, outreach workflow through email, backlink monitoring, and an automated guest post pipeline.
We automate technical SEO operations, including website audit, crawl errors identification, core web vitals monitoring, indexation management through Google Search Console analysis, log files analysis.
We’re developing SEO agents and workflows, including fully automated workflows from keyword research to content publishing. This is managed via n8n/Zapier automation.
We connect customers’ SEO platforms and tools such as Google Search Console, Google Analytics, Ahrefs, SEMrush, and custom-made dashboards with Looker Studio and load them into BigQuery or Snowflake data warehouses to get an overall picture of SEO performance.
We automate SEO reporting for KPI dashboards, ranking reports, traffic forecast generation, and SEO investment analysis that will be created and shared according to a predefined plan automatically, without the need for manual gathering.
Our team delivers automated conversion optimization solutions such as A/B testing, optimizing call to action, conversion funnel monitoring, heatmaps integration, and behavioral analytics within selected SEO traffic groups.
We provide SEO platform modernization services, which include SEO-optimized migration to CMS, migration of legacy monolith websites to headless architecture, and creation of new data-driven SEO systems.
Based on the needs, we develop a strategy for the automation of certain areas of SEO work, including the creation of content, optimization of meta-information, internal linking, technical audit, and publications.
The implementation of automation processes and integration of SEO automation with CMS is carried out by our experts.
Integration of all workflows into one SEO process and seamless functioning of automation is provided.
Regular monitoring of ranking, indexing, technical state, and content is carried out.
| Manual SEO Operations | Automated SEO System |
| Spreadsheet used for keyword research every three months | Automation of constant discovery and groupings of keywords |
| Content creation done manually, blog post by blog post | Automation of content creation and publishing according to predefined periods |
| On-page SEO performed for each individual page | Automatic creation of title tags, meta descriptions, and schemas for thousands of pages |
| Either manual internal link building or no internal linking at all | Links insertion is automatic and semantically appropriate |
| Monthly audits for technical SEO are done by the analyst | Automated monitoring of crawl errors, indexing, and core web vitals |
| Manual reporting from different sources | Auto-updating dashboard from different information sources |
| Content scaling means increasing the workforce | Content scaling means tweaking pipeline parameters |
Organizations that move from manual SEO operations to automated systems see measurable changes across traffic, output volume, and team efficiency. The figures below reflect outcomes across SEO automation engagements.
| Metric | Typical Result |
| Organic traffic growth | +80–150% within 6–12 months |
| Reduction in manual SEO effort | 60–70% |
| Pages generated and indexed automatically | 1,000–10,000+ |
| Time to publish new content | From days to hours |
| Ranking positions gained on target keywords | 30–60% improvement |
This option includes all elements from the audit and architecture to implementation and constant optimization. The best fit for businesses that are starting with no SEO automation at all or that can develop quickly.
We will install layers, automation pipelines, and other integrations on your existing SEO processes. It’s a great choice for organizations that have some experience with SEO, but need to automate to grow further.
We’ll work with your team to build programmatic SEO, automations, and data pipelines. A great option for companies that have an in-house team, but need some additional expertise on particular system components.
Stage 1: System Audit & Architecture Proposal
We start with a system audit and create an architecture proposal in order to outline your pipeline design, integration architecture, and deployment schedule.
Stage 2: System Architecture & Environment Design
Creating system architecture and designing an environment that is optimal for the development and testing of the system.
Stage 3: Pipeline creation
Pipeline automation, content creation, automation of publication processes, on-page automation, and data integration.
Stage 4: Integration, Test, and Deployment
Deployment of the system, integration with all the systems that you need, and running tests.
Stage 5: Monitoring, Optimization & Scaling
We will monitor the system, make improvements in its performance, and scale it based on emerging automation needs.
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