Process automation for SEO, content and marketing teams
Process automation at Best Boost Partners means scripts and small services that take over the repetitive work of SEO, content and marketing teams: collecting data, checking positions and indexing, assembling reports, moving texts from brief to publication. The work starts with a map of the process, and only the steps that are worth automating are built. You receive working code in a repository, documentation and a handover session, and the tools run on your servers or accounts.
In brief
- For whom
- SEO, content and marketing teams that spend hours each week on the same manual operations.
- What is included
- Mapping the process, choosing what to automate, then building parsers, monitoring, reports and content workflows.
- What you receive
- Working code in a repository, documentation, a handover session and tools running on your servers or accounts.
- How to start
- A description of the routine: who does what by hand, how often, in which tools, and where the data lives.
What does process automation include?
Process automation is divided into four areas: parsers and data collection, rank and index monitoring, reporting, and content workflows. Each area begins with the same question: what is done by hand today and how often.
Parsers and data collection
Search results, competitor prices, backlinks and page metadata collected on a schedule, cleaned and stored in a database or spreadsheet.
Learn moreRank and index monitoring
Daily positions, index status, uptime and changes in titles, robots.txt and canonical tags, with alerts to a messenger or e-mail.
Learn moreReporting
Dashboards and scheduled reports from Google Search Console, Google Analytics, rank trackers and your own tables. One source of numbers, no manual copying.
Learn moreContent workflows
The path of a text from brief to publication: tasks, statuses, automatic checks, publishing through the CMS API and bulk updates of pages.
Learn more
When does a team need process automation?
- Specialists copy figures from Google Search Console, Google Analytics and a rank tracker into one table by hand every week.
- A page dropped out of the index or lost its canonical tag, and the team learned about it from a fall in traffic.
- Competitor prices, catalogues or search results are collected by hand, so the data is always out of date.
- Texts travel between author, editor and CMS through chats and files, and nobody sees the status of each task.
- The number of sites or pages has grown, and the same check or edit has to be repeated on each of them.
How does work on process automation go?
Mapping the process
We write down who does what by hand, how often, where the data lives and where errors happen. The result is a table of operations that shows the time each one takes and what a mistake in it costs.
Deciding what to automate
For every operation in the table we mark whether to automate it, simplify it or leave it to a person. A rare task, or a task that needs a specialist’s judgement, usually stays manual, and we say so directly.
Specification and scope
For each tool we describe the inputs, the output, the schedule, the storage and the access rights. Scope, price and deadline are fixed in the contract before development starts.
Development and test runs
We write the code in a repository and run it on your real data. You see the first results in the form you will use them in: a table, a dashboard, an alert in a messenger.
Deployment and handover
We install the tools on your servers or accounts. We hand over the documentation and hold a session in which your team launches, configures and restarts each tool themselves.
What do you receive at the end of the work?
- A process map: a table of manual operations with their frequency, data sources and typical errors.
- Source code in a repository under your control, with the history of changes.
- Documentation: what each tool does, how to launch it, where settings and access keys are stored, what to do when an error appears.
- Tools deployed on your servers or accounts and running on a schedule.
- A handover session for the people who will use the tools and maintain them.
- Regular reports during the work: what has been built, what has been tested, what comes next.
How do we keep automation reliable and easy to maintain?
We automate what repays the effort
A script for a task that comes up once a quarter costs more to write and maintain than the task itself. We count how often an operation is repeated and what an error in it costs, and write code where the count adds up.
A failure has to be visible
Sources change their layout, APIs change their limits, access tokens expire. Every tool keeps a log and sends an alert when a run fails or returns suspiciously little data. Otherwise a silent failure turns into a month of wrong figures.
Respect for sources and for your data
Where an official API exists, we work through the API. Parsers follow the source site’s terms and robots rules and keep to a moderate request rate. Access keys are stored apart from the code and stay under your control.
Frequently asked questions
How much does process automation cost?
The price is named after the brief and the process map, because it depends on the number of data sources, the volume of data and the systems that have to be connected. There is no price list on the site. Scope, price and deadline are fixed in the contract before development starts.
Where is the code kept and where do the tools run?
The code is kept in a repository under your control, and the tools run on your servers or in your accounts, with your access keys. Process automation built this way keeps working whether or not you continue to work with Best Boost Partners.
What happens if a source site or an API changes and a script stops working?
The tool records the error in its log and sends an alert, so the failure is noticed the same day. The documentation describes the typical causes and the place in the code or settings that needs correcting. The correction can be made by your developer, or you can discuss it with us as a new piece of work.
Do we need our own developer to use the tools?
For daily use, no: the tools run on a schedule and deliver the result to a table, a dashboard or a messenger. A developer or a technically confident specialist is needed when the logic changes, for example when a new data source is added. The documentation and the handover session are prepared with that person in mind.
Which tasks are not worth automating?
Rare tasks, tasks that look different every time, and tasks that need a specialist’s judgement, such as assessing the quality of a text or of a donor site. In those cases automation prepares the data and the decision stays with a person. We mark such operations at the mapping stage, so that you do not pay for code that will not repay itself.
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