Editorial standards

Start with the reader’s question

A guide should leave you better equipped to do a job: diagnose a change, prepare a launch, evaluate a tool, or explain a recommendation. We give the answer early, then develop the reasoning, examples, and practical details the subject needs. A short answer to a simple question is a good guide.

We do not require every article to follow the same sequence of sections. A useful checklist, a worked calculation, a comparison, and an explanation of a platform change have different jobs. Structure and length should help the reader finish that job, not create space for repeated keywords or filler.

Be precise about what is known

Google’s documentation is the starting point for Google Ads features and platform behavior. An announcement, a limited rollout, and a generally available feature are not interchangeable. Where availability depends on an account, market, or campaign type, that distinction belongs in the explanation.

A source should support the claim next to it. We separate documented behavior from our interpretation and recommendations, and identify important limits rather than letting a confident sentence imply more than the evidence establishes.

For example, an announcement that a feature is coming does not establish that it is enabled in your account. Documentation for the Google Ads interface does not necessarily establish that the same operation is available through the API. Where that distinction changes the advice, the guide needs to say so.

Describe the product honestly

Parallel’s capabilities should be described in terms of work a customer can actually do. Investigating an account is different from changing it; preparing a campaign is different from making it serve. Product descriptions should preserve those distinctions without burying the useful capability in implementation language.

We publish these guides as the company behind Parallel. Competitor comparisons should make that perspective clear and give readers concrete differences to evaluate, not unsupported rankings or claims of superiority.

Prices, plan limits, and vendor capabilities need current, attributable sources. A comparison should make its criteria understandable and keep an unknown separate from a missing feature. We should not describe another product as unable to do something simply because its public documentation does not answer the question.

Make examples useful without making them look like proof

An illustrative budget, campaign, or calculation should be recognizable as an example. It can show how to think through a decision without implying that the numbers came from a customer or that the outcome is typical.

Performance claims need evidence and context: what was measured, over what period, and under which conditions. We do not turn a plausible forecast into a promised result. An AI-generated explanation is not a source, and a confident answer is not a substitute for checking the underlying claim.

Update the substance, not just the date

Publication dates identify when a guide first appeared. An updated date should reflect a meaningful change to its information or advice, not a cosmetic freshness signal. When platform guidance changes, the affected explanation, examples, and links need attention together.

A correction should fix the claim wherever it shapes the reader’s decision, including a summary, table, caption, or related recommendation. Renaming a feature in one paragraph is not enough if the rest of the guide still describes its old behavior. If a source is unclear, we should state that uncertainty rather than fill the gap with a guess.

If you spot an error or a feature whose behavior has changed, send us the article URL and the detail that needs correcting. A specific source or example helps us assess it.