Content written to be read, not to hit a word count
Most SEO content reads like it was written to reach fifteen hundred words. That is why nobody finishes it and why it increasingly gets skipped by AI answers too.
Make the path from a relevant search to a useful answer clear.
- Search intent
- Useful answer
- Clear next step
Visibility is the beginning. The enquiry is what we measure.
What makes content rank now?
Matching intent, answering quickly, and saying something the other results do not. Google has spent years reducing the advantage of length alone, and its helpful content systems specifically target pages written for search engines rather than people.
The practical version: work out what someone actually wants when they type the phrase, answer that in the first hundred words, then go deeper for the people who want depth. Burying the answer is the single most common mistake.
How does writing for AI answers differ?
It barely differs, which is convenient. AI Overviews and assistants lift short, self-contained passages that answer a question directly. Research on generative engines found that adding statistics, citing sources and including quotable passages improves AI visibility by 30 to 40 percent. Keyword stuffing had no effect.
So the same structure serves both. Clear question-led headings, a direct answer underneath, real figures where we have them, and sources named rather than vaguely alluded to.
What we write
Service pages, category pages, comparison pages, guides and location pages. We do not take on volume blog packages priced per word, because that pricing model is what produces content nobody reads.
We use it for research and structure, not for the finished text. Google does not penalise AI content for being AI, it penalises content that is unhelpful, and mass-generated text usually is. The tell is not the tool, it is whether anything in the piece could only have come from someone who knows the subject.