How to Write Blog Posts That Rank on Google
How to write blog posts that rank: pick a winnable question, build the outline from the SERP, answer in the first 100 words, and update before it decays.
Read article →How it works
- Enter a single query — the exact phrase a user would type into Google.
- The tool detects the primary intent and any secondary intent, so mixed queries like "best CRM software" are read as both commercial research and a buying signal.
- It maps the query to a funnel stage — awareness, consideration or decision — so you know where the searcher sits in their journey.
- It recommends the ideal content type (guide, listicle, comparison, product or landing page) and the SERP features the query is likely to trigger, such as featured snippets, People Also Ask, shopping or local packs.
- It lists real related queries, each labelled with its own intent, so you can extend the page to cover the full cluster.
What it tells you
- Primary intent — the dominant goal behind the query, classified as informational, navigational, commercial or transactional.
- Secondary intent — the softer, secondary motivation many queries carry, so you don't optimize for only half of what the searcher wants.
- Funnel stage — whether the query sits at awareness, consideration or decision, guiding tone, depth and calls to action.
- Recommended content type — the format Google rewards for this query, from how-to guide to comparison table to product page.
- Likely SERP features — the snippets, People Also Ask, image, video, shopping or local elements the query tends to surface.
- Related queries with intent — real adjacent searches, each tagged by intent, to map the wider topic cluster.
Why it matters
Google ranks the page that best matches intent, not the one with the most keywords. A technically flawless article can still fail if it answers the wrong question — writing a buyer's guide for a query that wants a quick definition, or a thin blog post for a query that expects a comparison table. Intent mismatch is one of the most common reasons well-optimized pages never break the first page. Knowing the intent, funnel stage and SERP features up front lets you build the exact page shape Google is already rewarding, instead of reverse-engineering it after months of underperformance.
How to act on the intent
Match your page format to the recommended content type first: a decision-stage transactional query needs a fast landing or product page, while an awareness-stage informational query needs a thorough guide. Shape your headings and opening passage to the SERP features shown — write a concise answer to win the snippet, and add an FAQ block to earn People Also Ask slots. Then weave the related queries and their intents into subheadings so one page satisfies the whole cluster rather than a single phrase, strengthening topical depth and internal relevance.
Frequently asked questions
How is this different from the Keyword Intent Classifier?
The Keyword Intent Classifier bulk-labels a whole list of keywords with a single intent each, ideal for sorting large sets fast. The Search Intent Analyzer goes deep on one query instead — primary plus secondary intent, funnel stage, content type, likely SERP features and related queries. Use it when you're planning the page behind a specific target term.
Why does one query have two intents?
Many searches carry layered motivation. "Best running shoes" is commercially driven research but also signals an intent to buy soon. Capturing both the primary and secondary intent stops you from building a page that satisfies only half the searcher's goal, which is a frequent cause of high bounce and weak rankings.
Are the SERP features guaranteed to appear?
No. The tool predicts the features a query is most likely to trigger based on its intent and phrasing patterns, not a live SERP scrape. Treat them as a strong signal of the format to build for — for example, structuring a direct answer when a featured snippet is likely — rather than a fixed promise.
