How to turn Search Console queries into a content plan using AI
Group real Search Console queries by intent, find the gaps against your existing pages and decide what to write or update next.
- Beginner
- A few hours to set up
Step-by-step AI workflows for marketing teams, with what you need, prompts to copy and the point where a person decides. Each one says whether I run it, am testing it or have not yet run it.
Group real Search Console queries by intent, find the gaps against your existing pages and decide what to write or update next.
Find the pains, outcomes and exact phrases customers use, so headlines and ads say what buyers already think.
Compare competitors’ positioning, offers and proof side by side with one repeatable prompt, and check every claim against the source page.
Turn a new enquiry into a sourced one-page brief with questions for the first call, checked by a person before sales sees it.
Find the pains, outcomes and exact phrases customers use, so headlines and ads say what buyers already think.
Compare competitors’ positioning, offers and proof side by side with one repeatable prompt, and check every claim against the source page.
Turn your best writing into a voice guide that ChatGPT, Claude or Gemini can follow, and test it before the team relies on it.
Turn one recorded webinar into posts, emails, clips and an article, each traced back to a timestamp in the recording.
Capture what your experts actually think in a short interview, then draft articles and posts from their words rather than generic AI text.
Translate and adapt web pages, emails and ads with a glossary and a native reviewer, so the result reads as if it were written for that market.
An idea for finding gaps between the audience, promise, evidence and call to action before creative work starts.
Group real Search Console queries by intent, find the gaps against your existing pages and decide what to write or update next.
Build a content brief from the pages that already rank and the questions people ask, then add the angle only your team can offer.
Find pages that are losing search clicks, see what changed and update them with what readers and search results now expect.
Publish clear, well-sourced answers to the questions buyers ask AI assistants, and track whether ChatGPT, Perplexity and AI Overviews cite them.
Use AI to write ad variants around one clear hypothesis, then let a planned test decide, rather than launching dozens of random versions.
Sort a long Google Ads search terms report into wasted spend and useful demand, with every negative keyword approved by a person.
Check a landing page against a conversion checklist with AI, get specific rewrite options, and test the change that matters most.
Write outreach from verified research on each account, with one relevant reason to talk and a human edit before anything is sent.
Plan a nurture sequence around the buyer’s questions, draft it with AI, and edit it into emails a busy buyer would actually read.
Score each lead against explicit ideal-customer criteria with the reasoning attached, so sales can see why and correct it.
Standardise job titles, industries and other messy CRM fields with AI, with a person checking the uncertain records and nothing guessed.
Assemble weekly channel numbers automatically, flag unusual changes and draft a commentary a marketer checks before sharing.
Turn a small, clearly specified marketing task into a working tool with a coding agent, tested on sample data before the team relies on it.
Current preference: off