The best opportunity is not always the biggest topic: it is a relevant question you can answer with something to contribute.
Read topics as an invitation to investigate
Bing introduced Topics Portfolio in beta to group grounding queries into topics. Its documentation describes directional data with limitations, not an exact market inventory. An opportunity list can guide attention but cannot decide what your company should publish.
Before commissioning work from a signal, check relevance to your offer and audience. A topic with high activity may be commercially irrelevant. It may also require expertise the team lacks; commissioning a generic summary does not create that expertise.
Connect reader interest with available knowledge
Bring together the question, existing publications and what the team can contribute. There may be a poorly explained comparison, recurring sales question or authorized resource needing context. Contribution need not be a major study; a specific explanation preventing confusion can matter.
Imagine a company seeing interest in software for multiple brands. Before listing tools, it could explain what changes when every client has different permissions, projects and approvals. Understanding those decisions provides a useful perspective without exposing any client's operation.
Choose what you can support after publication
An article about a product capability needs review when the offer changes. A criteria guide may stay useful longer, while still needing verification. Include responsibility in the plan. Many pieces retaining broken links or incompatible information do not help.
This filter may exclude topics, and that is part of good planning. You need not compete for every query near your category. A connected, understandable question set is preferable to scattered subjects sharing only a word.
- Relevance: which reader decision it helps.
- Contribution: which explanation the team can offer.
- Support: which facts and sources can be checked.
- Maintenance: who reviews the content when its context changes.
Write a brief asking for usefulness, not filler
Every piece needs a central question, reader, decision to support and available sources. State what cannot be claimed: unsupported figures, unauthorized clients or unconfirmed features. Those limits help authors be specific without inventing a story to sound human.
Then review the complete article: does it answer differently from nearby pieces? Are examples identified? Does the title deliver what it promises? Is the next step relevant? Images should contribute a recognizable idea or show the product, not become interchangeable decoration.
Google recommends useful, original content. Our editorial application is giving each question attention and reviewing the archive as a whole. AI Visibility signals can guide priorities; human judgment decides what is worth explaining and how to make it something people want to read.
Frequently asked questions
Does a topic opportunity mean we should publish?
No. Check relevance, available knowledge and maintenance capacity. A signal guides review; it does not replace editorial decisions.
How do we avoid overly similar articles?
Give each piece a distinct question and decision. Review the archive before commissioning, and update an existing page when it already addresses the intent.
