Find the posts you should have written, in data you already have

The most-wasted dataset in small business marketing

Search Console holds sixteen months of every search that showed your website, whether or not anyone clicked. Buried in there are queries where you get hundreds of impressions, a handful of clicks, and have no page on the subject at all. Google is showing you for a question you never set out to answer, and doing it badly, because the closest thing you have is a page about something else.

Each one of those is a blog post that is already proven to have demand and already proven to have your site considered relevant. It is the lowest-risk content you can possibly write, and almost nobody writes it, because finding the pattern means reading thousands of rows.

What the assistant actually does

It pulls your queries with their impressions, clicks, click-through rate and average position, then looks for the specific shape that matters: high impressions, low click-through, no tracked keyword, no obvious page. That combination means opportunity rather than failure.

It groups them by subject rather than listing them, so forty near-identical long-tail phrasings become one post rather than forty.

It checks them against what you already track and already rank for, so it does not propose a post competing with a page you already have. That is cannibalisation, and it makes things worse rather than better.

What comes back

A shortlist of posts with the evidence for each: the queries feeding it, the impressions on the table, your current position, and what the page would have to answer to earn the click.

Try it on your own data

The connector is £5 per user per month on every plan. It reads snapshots already collected on your normal schedule, so asking this question as often as you like costs nothing extra.

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