A content strategy is a plan for which questions your customers ask, which pages answer them better than anyone else, and how you will know it is working. In 2026 the rules are simple to state and hard to follow: write to help people rather than to attract search traffic, show who wrote it and how, add something original, review anything AI helped write, and measure what visitors do after they arrive. Keep your best content on your own site, and use other channels to point people to it.
Key takeaways
- Google's guidance says the "why" of your content should be "to help people", and warns against producing lots of content on many topics "in hopes that some of it might perform well in search results".
- Make clear who created the content, and explain how it was produced, including automation or AI, where readers would reasonably wonder.
- Google says using generative AI to produce many pages "without adding value for users may violate" its spam policy on scaled content abuse, and that a person should fact-check AI output before publishing.
- In GA4, an engaged session lasts longer than 10 seconds, has a key event, or has two or more page or screen views; engagement rate is the share of sessions that were engaged.
- Do not change dates to make pages look fresh when the content has not substantially changed.
What is a content strategy, in plain words?
It answers four questions: who are we writing for, what do they need to know before they buy, which of those questions can we answer better than the pages already out there, and how will we measure the result? A calendar of posts is not a strategy. A list of customer questions, with an owner and a measure for each, is.
What makes content valuable?
Google's own self-assessment questions are a good test. Ask of every page:
- Does it give original information, research or analysis, rather than a summary of what others have said?
- Is it thorough, and does it look carefully produced?
- Is it written or reviewed by someone who demonstrably knows the topic?
- Are the sources clear, with visible background on the author?
- Would a reader finish it feeling they learned enough to act?
Google also says that of experience, expertise, authoritativeness and trustworthiness, "trust is most important". For a company, trust comes from specifics: named authors, real examples you can share, sources that can be checked, and numbers you can stand behind. This is why we put a byline and a Sources list on our own articles.
How should you use AI in content?
Use it as a drafting and research aid, never as an unchecked publisher. Google's guidance on generative AI content says models "don't retrieve facts, but predict a likely sequence of words", so output can be wrong, and that a person should "manually factcheck and review all AI-generated content" before it goes live. The same applies to titles, meta descriptions, structured data and image descriptions. Producing large volumes of pages with AI and no added value risks being treated as scaled content abuse. Where readers would expect to know, say how automation was used. For how AI work is changing search, see AI search optimization and Content that AI engines can quote.
Should your blog and website be different?
They should do different jobs, not live in different places. Your service pages explain what you offer and help someone decide to contact you. Your articles answer the questions people ask earlier, and link to the service page when the reader is ready. Keep both on one domain, in one navigation, with clear links between them, so that trust built by an article carries to the service page. Our own articles each link to a related service page for this reason.
Should your best content live on your site or somewhere else?
Publish on your own site first, because that is the one place you control the page, the measurement and the next step you offer. Other channels, such as LinkedIn, a newsletter, communities, video platforms and podcasts, are for reaching people who will not find you through search. Use them to give a useful piece of the idea and link back to the full version. If you republish an article elsewhere, our advice is to ask the other site to link to your original and to use a canonical tag pointing to it, so that readers and search engines can tell which is the source.
How do you know if content is working?
Decide the measure before you publish. A simple set:
| Question | Measure |
|---|---|
| Did people read it? | GA4 engagement rate and engaged sessions for the page |
| Did it lead anywhere? | Clicks to a service page, and key events such as a form submission or call booking |
| Do search engines show it? | Impressions and clicks in Search Console for the page's questions |
| Does it stay accurate? | A review date, and a fix when facts change |
In GA4, an engaged session is one that lasts longer than 10 seconds, has a key event, or has two or more page or screen views, and engagement rate is the percentage of sessions that were engaged; bounce rate is the inverse. Compare pages with each other and over time instead of chasing a universal target. Cut or rewrite pages that nobody reads and that lead nowhere, and keep the URL when you rewrite so links are not lost.
How do you turn content into leads?
Content collects leads when it makes the next step obvious and low-risk.
- Answer the question first, then offer a next step that fits it: a checklist, an audit, a call.
- Put one clear call to action near the end, and a short one near the top for people who already know what they want.
- Link to the relevant service page from the article.
- Ask for as little as possible in a form.
- Follow up quickly and usefully, and track which pages the enquiries came from.
What should you avoid?
- Publishing on many topics you cannot speak to, in the hope that some rank.
- Changing the date on a page to look fresh when the content has not substantially changed.
- Hiding authorship or giving misleading author details.
- Publishing AI output without a person checking facts, claims and links.
A short plan for the next 90 days
- List 20 questions customers ask you, from sales calls and support.
- Choose the ten you can answer best, and check what already ranks for them.
- Write each with a named author, original detail and sources.
- Link each to a service page and add one clear next step.
- Track engagement and enquiries by page, and revise monthly.
If you would like help, see our SEO services, and for how content fits the wider picture, Digital marketing in 2026.
FAQ
How often should we publish?
As often as you can publish pieces that are accurate and useful. One carefully checked article a month beats weekly filler. Google specifically warns against producing lots of content on many topics hoping some performs.
Can we use AI to write our content?
You can use it to help, but a person must check facts and add real experience. Google says unreviewed AI output at scale may be treated as spam, and that a person should fact-check it before publishing.
Do we need an author name on every article?
Google's guidance recommends making clear who created the content, with author background where readers would expect it. It is also good practice for building trust.
What is a good engagement rate?
There is no universal figure. In GA4 it is the share of sessions that were engaged, so compare your own pages and track change over time.
Should we update old articles?
Yes, when facts change. Keep the URL, change the content in substance, and show an honest updated date.
Sources (3 links)
- Google Search Central, "Creating helpful, reliable, people-first content": https://developers.google.com/search/docs/fundamentals/creating-helpful-content
- Google Search Central, "Google Search's guidance on using generative AI content on your website": https://developers.google.com/search/docs/fundamentals/using-gen-ai-content
- Google Analytics Help, "Engagement rate and bounce rate": https://support.google.com/analytics/answer/12195621
