Find the overlap. Fix what matters. Get cited by AI.

AI-Enhanced Content Audits

AI-powered improvements in content auditing drives engagement.

AI-Enhanced Content Audits

The Problem: Your Content Is Competing With Itself

You've published hundreds of blog posts over five years. Fourteen cover "employee onboarding." Nine discuss "remote work best practices." Six explain "data security basics."

Without a clear pillar page, AI systems see several similar pages and cannot tell which one is the primary source. So they either cite nothing, or they cite the wrong one, including an older or outdated page.

Manual audits take months and miss patterns humans can't see. Our AI-powered analysis reviews hundreds of pages in a few days. It finds overlap you didn't know existed and builds a consolidation plan to fix it.

We often see 30–40% fewer pages after consolidation, with traffic preserved when redirects and updates are implemented.

Step one: Content inventory

We review your content and document what it covers, who it is for, and where it overlaps.

Pages like 'Hiring Tips' and 'Building Your Team' often look separate but answer the same question: how do I grow my team?

We evaluate:

  • Primary topic/theme
  • Target audience
  • Funnel stage (awareness, consideration, decision)
  • Word count (uncovers thin content) and readability
  • Which other pages cover the same topic
  • Traffic including AI-referrals

 


Step two: The Consolidation Report

This is the deliverable clients value most.

The consolidation report tells you exactly what to merge, retire or redirect. It's page-by-page, with specific recommendations—not vague guidance.

One B2B software company had 250 blog posts. Our analysis found:
 
  • 18 posts covering "customer onboarding" with different titles
  • 16 posts on "data security" with significant overlap
  • 14 posts on "compliance" that contradicted each other
  • 17 posts on "implementation" covering the same ground
  • 55 posts with zero traffic, still indexed by LLMs
  • 130 posts unique enough to keep
    Result: 250 posts became 150 focused pages—40% less content to maintain. Traffic held steady. AI finally had one clear answer per topic to cite.

    Action

    PagesRecommendation
    Merge18 onboarding postsCombine into 5 guides
    Merge16 data security postsCombine into 4 guides
    Merge14 compliance postsCombine into 4 guides
    Merge17 implementation postsCombine into 7 guides
    Retire55 zero-traffic posts301 redirect to hub pages
    Keep130 posts

    No changes needed

Why does this matter now?

Old content doesn't disappear. LLMs can still find and cite outdated pages. When multiple pages cover the same topic, AI cannot identify your authoritative answer. It may skip you or cite the wrong page.

The consolidation report solves this. You reduce the noise, strengthen the signal, and give AI one clear page to cite for each topic.

Without cleanup:

  • AI may cite your 2020 blog post instead of your 2024 product page when multiple pages cover the same topic.
  • Buyers see conflicting information across your site
  • Your team wastes time maintaining redundant content

With consolidation:

  • Each topic has one authoritative pillar page for AI systems to cite
  • Maintenance burden can drop by 30–40%

What we’ve observed across recent B2B content audits (results vary by site and execution):

  • 12–28% increase in organic and AI-referral traffic
  • 2–15x increase in AI citations that link to your site
  • 6–14% conversion lift after consolidation and optimization

Pricing

Know what to fix first.
Content Audit Review – $20,000

Page-by-page analysis and a consolidation plan you can execute.

What's Included

  • Content inventory with topic mapping
  • Consolidation report: merge, retire, redirect, or keep—page by page
  • Priority ranking so you know what to fix first
  • Four guidance calls during execution

Add on:  LLM Brand Audit  +  Answer Engine Optimization  |  See Pricing


 USD pricing; English-only scope. Pricing may vary—request scope.

Add-On: AI Brand  Messaging Guide 

Control Your AI Voice: The Brand Messaging Spec Models Will Quote

We create your AI Brand Messaging Guidelines—one concise, citable spec that standardizes voice, approved terms, and proof so humans and models say it right. 

How it’s used: A day-to-day reference for staying on brand when creating or updating any web content. Your team uses it to draft AI-ready pages, refine messaging, and maintain consistency across the site.  

  • One citable spec → Faster, consistent answers from AI and humans; fewer rewrites.
  • Standardized voice & terms → Less brand drift; higher trust and citation eligibility.
  • <1,000 words → Easy to adopt and maintain; teams (and AI models) use it.
  • Uses your approved sources → Citations align with legal/comms with zero extra validation work.

Pricing:  $5,000 USD  

Requires the AI Brand Visibility Audit for best results.

FAQs

250 posts → 150 focused pages. Traffic held steady.