Content audit
I audit your whole content library, then hand you a prioritized plan to prune, merge, refresh and expand it for search and AI answers.
Years of posts pile up, pages compete for the same keywords, old winners decay, and your best answers never surface in AI results.
I map topical coverage, catch cannibalization and decay, find intent gaps, and score every page for AI-answer readiness in one prioritized plan.
You stop wasting effort on dead pages and concentrate authority where it compounds, so traffic and citations climb.
Most content libraries grow by addition. You publish, you rank, you publish again — and after a few years nobody knows which pages still earn their keep. A content audit answers that. I go through everything you have published, measure how it performs against real search demand, and hand you a decision for every URL: keep, prune, merge, refresh or expand.
I have run this on 150+ projects across fintech, Web3, crypto and MedTech. The pattern repeats: a small core of pages does most of the work, a long tail quietly drags the whole domain down, and the answers your buyers actually ask for are scattered or missing. In mid-2026, that also decides whether AI answer engines cite you or your competitor.
What I actually check
I look at your content as a system, not a spreadsheet of word counts. The audit covers:
- Topical coverage — where your expertise is fully mapped and where clusters have holes a competitor can walk through.
- Keyword cannibalization — pages fighting each other for the same query, splitting clicks and confusing Google about which one to rank.
- Content decay — once-strong pages losing rankings and traffic because the topic moved on and they didn't.
- Search-intent gaps — the questions people ask that you answer badly, indirectly, or not at all.
- AI-answer readiness — whether each page is structured, sourced and quotable enough to be pulled into AI Overviews and assistant answers.
How I run the audit
I pull your full URL inventory and combine crawl data, Search Console performance, ranking history and SERP analysis for every meaningful page. Then I cluster pages by topic and intent so cannibalization and coverage gaps become obvious instead of hypothetical.
For AI readiness I read pages the way a language model does: Is the answer stated plainly near the top? Are claims backed by data and sources? Is the structure clean enough to extract? Thin, hedge-filled pages rarely get cited, and I flag exactly why.
What you get
A single prioritized plan, not a data dump. Every recommendation is tied to an action and an expected outcome, ordered so the highest-impact moves come first:
- Prune — pages to remove or redirect, with the reasoning, so crawl budget and authority stop leaking.
- Merge — competing pages to consolidate into one definitive answer that ranks harder.
- Refresh — decaying winners to update, re-structure and reclaim.
- Expand — the gaps worth new content, sized by demand and difficulty.
You can hand the plan to your team and execute it, or I can run the refresh and consolidation with you.
Who this is for
This is for founders and marketers sitting on a real content archive — dozens to thousands of URLs — who suspect a lot of it is dead weight but can't prove which. If you are about to invest in more content, audit first. It is far cheaper to fix what you have than to bury it deeper.
FAQ
How many pages can you audit? From a focused blog of a few dozen posts to libraries in the thousands. I scope the depth of analysis to the size and to what matters most for your revenue.
Will pruning content hurt my rankings? Removing or merging weak pages the right way usually strengthens the ones that matter. I never prune blind — every cut is justified by data and mapped to redirects so you keep the equity.
Do you handle the changes or just the plan? Either. The audit delivers a plan your team can execute, and I can also run the refresh, consolidation and expansion with you if you want it done faster.
from $900