Blog
/
Content
/
Article

Content

Calculating...

Oct 2026

Content Audit Tools: What to Use for Each Step of a Google and AI Search Audit

The content audit tools B2B SaaS teams use for inventory, performance, decay alerts and AI citation tracking, with what each does well and where it falls short.

SEO for SaaS Businesses
SaaS SEO Growth Checklist
A complete 10-step checklist to plan, execute, and scale your SaaS SEO strategy — from technical foundations to content that compounds pipeline growth.
Download the checklistDOWNLOAD A COPY

SaaS SEO Growth Checklist

A complete 10-step checklist to plan, execute, and scale your SaaS SEO strategy — from technical foundations to content that compounds pipeline growth.

Download the checklist

Key takeaways

  • No single tool runs a full content audit. You need four jobs covered: inventory, performance, content quality and decay, and AI visibility.
  • Google Search Console and GA4 are the free core. Search Console keeps 16 months of data, enough for a year-on-year decay check.
  • Crawlers like Screaming Frog and Sitebulb build the inventory. Screaming Frog's free version crawls up to 500 URLs.
  • AI visibility tools track two different signals: mentions of your brand in AI answers, and citations of your pages as sources. You need both.
  • Start lean. A crawler, Search Console, GA4 and one AI tracker cover most B2B SaaS libraries.

Content audit tools are the software you use to inventory your pages, pull their performance, flag decay and see whether AI engines cite them. For B2B SaaS, the core stack is a crawler, Google Search Console, GA4, and an AI visibility tracker that reports both brand mentions and page citations.

Most lists of content audit tools are a flat line-up of SEO platforms with a paragraph each. That doesn't help much, because the tools do very different jobs and you only need one per job.

So we've organised this by audit step, with what each tool is good at and where it falls short. Every feature claim below comes from the vendor's own site or documentation. If you haven't run an audit before, start with our content audit process for B2B SaaS and come back here to pick the tools.

"Content inventories and audits are assessment frameworks, not an exact science."

Anna Kaley, Nielsen Norman Group · Content Inventory and Auditing 101

What does a content audit tool need to do?

A content audit stack needs to cover four jobs: build the inventory, measure performance, judge content quality and decay, and track AI visibility. A fifth job, turning it all into decisions, still happens in a spreadsheet.

Why no single tool covers it

Crawlers see what's on the site but not how it performs. Analytics sees performance but not why. SEO platforms see rankings and links but often not AI citations. And none of them knows which pages your sales team sends to prospects.

That's why we think in stages rather than platforms. Pick the best fit for each stage, then join the data on the URL.

It's worth getting right because audits are now a routine job, not a one-off. Semrush's content audit guide cites its 2023 State of Content Marketing report, where one-third of marketers said they run content audits twice a year.

Content audit tool stack mapped to four audit steps: inventory and crawl, performance, quality and decay, AI visibility
Match each tool to the audit step it does best.

Inventory and crawl tools

Use a crawler to build the full list of live URLs with their status codes, titles, word counts and internal links, then merge it with your sitemap and a CMS export. This is the foundation every other step joins onto.

Screaming Frog SEO Spider

Screaming Frog is the default desktop crawler for most SEO teams. Its own site states that the free version is restricted to crawling up to 500 URLs in a single crawl, and the paid licence unlocks features such as custom extraction and API integrations. For a SaaS blog of a few hundred posts, the free version can get you started.

Sitebulb

Sitebulb describes itself as making technical SEO easier and more accurate for professional SEOs, and its strength is clear visual reporting on crawl data. It offers a 14 day free trial, which is enough to run one full inventory and see whether its reports suit your team.

Your CMS export

Don't skip the CMS. A Webflow, WordPress or HubSpot export shows drafts, archived posts, authors and publish dates that a crawler can't see. It's also the quickest way to find old posts that were unpublished but never redirected.

Performance and decay tools

Google Search Console and GA4 give you search performance and business outcomes for free, and they're enough for most decay analysis. Paid content tools add page-level scoring and alerts on top.

Google Search Console and GA4: the free core

Search Console's Performance report shows clicks, impressions, position and queries per page. The default view covers the past three months, and Google's help documentation confirms Search Console keeps data for the last 16 months, which is what makes a year-on-year decay comparison possible.

GA4 adds what happens after the click. Google describes its Landing page report as a pre-made detail report that helps you understand how visitors interact with your website. Join it with your CRM and you can see which pages actually start pipeline.

Content scoring and decay tools

Several content tools now include audit features. Clearscope's Content Inventory is built to monitor, audit and refresh existing content. Surfer's Content Audit identifies pages that need re-optimisation based on page performance and its SEO score.

If you'd rather stay free, Ahrefs Webmaster Tools opens free access to Ahrefs' Site Audit and Site Explorer for verified websites, which covers backlinks per page and a decent view of rankings. For the technical side of the audit, our separate guide to SEO audit tools for SaaS websites goes deeper.

Whichever you choose, the job is the same: flag pages that are slipping before they fall off. Our guide to content decay explains the thresholds we use.

AI citation and mention tracking tools

AI visibility tools run a set of prompts across engines like ChatGPT, Perplexity, Gemini and Google's AI Overviews, then report where your brand is mentioned and which of your pages are cited. That's the column most content audits are missing.

It's also where your buyers are. G2's April 2026 research found 71% of B2B software buyers rely on AI chatbots at some point in their research process.

Mentions vs citations: you need both

Definition: AI mention vs AI citation

An AI mention is when your brand name appears in the text of an AI answer. Ahrefs' Brand Radar defines it as how often your brand name appears in AI answer text.

An AI citation is when the answer links to your page or domain as a source. Brand Radar defines it as how often AI links to your pages or domains as a source.

The two signals do different jobs. On bottom-funnel prompts like "best [category] software for [use case]" or "[competitor] alternatives", the mention is what matters, because that's the recommendation a buyer acts on. Citations matter more for informational pages, where being the source builds trust and earns the click.

AI mentions vs AI citations: brand named in the answer text compared with page linked as a source
Two different AI visibility signals. A content audit should record both per URL.

For a content audit, weight mentions on buyer prompts most heavily, because that's closest to revenue. Then use citations to judge individual pages: a page that's cited is doing its job, and a page that stopped being cited is a refresh candidate. Our guide to AI share of voice covers how to turn mentions into a trackable metric.

What the main trackers cover

Ahrefs Brand Radar reports mentions and citations across AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini and Copilot. Otterly.AI tracks citations on seven AI search engines: ChatGPT, Claude, Perplexity, Copilot, Gemini, Google AI Mode and AI Overviews.

Peec AI says it tracks every mention of your brand across ChatGPT, Gemini, Perplexity, AI Overviews and AI Mode. Semrush's AI Visibility Overview gives a high-level view of your brand's presence across AI-generated search results, and Profound's Answer Engine Insights shows how your brand performs across AI answer engines.

Citation sets move fast, so track on a schedule rather than checking once. Our wider comparison of AI visibility tools covers pricing and set-up in more depth.

Content audit tools by audit step. Feature claims from each vendor's own site or documentation, checked October 2026.
ToolAudit stepBest forWhere it falls short
Screaming FrogInventoryFast, detailed crawls of any siteFree version capped at 500 URLs per crawl; no AI data
SitebulbInventoryVisual crawl reports for teamsPaid after the 14 day trial; no AI data
Google Search ConsolePerformanceClicks, impressions and queries per page, 16 months of dataGoogle only; no AI citation data
GA4PerformanceEngagement and conversions by landing pageNeeds CRM joins to show pipeline
Clearscope Content InventoryQuality and decayMonitoring and refreshing existing contentPair with an AI tracker for citation data
Surfer Content AuditQuality and decayFlagging pages that need re-optimisationScores follow Surfer's own model
Ahrefs Brand RadarAI visibilityMentions and citations across six AI surfacesResults depend on the prompts and competitors you track
Peec AI, Otterly.AI, ProfoundAI visibilityPrompt-level tracking of AI answersNeed a well-built prompt set to be useful

A lean content audit stack by team size

Most B2B SaaS teams need one crawler, Search Console, GA4 and one AI tracker. Add paid content scoring only when your library is big enough that manual review becomes the bottleneck.

There's a real debate here. All-in-one platforms promise fewer logins and one dataset. Best-of-breed stacks get better data at each step but need someone to join it.

Our verdict: for libraries under about 500 pages, a small best-of-breed stack joined in one spreadsheet is cheaper and more accurate. Above that, an all-in-one platform starts to earn its cost.

Solo marketer

Screaming Frog's free version, Search Console, GA4, and a manual check of 20 to 30 buyer prompts each month. It's slow, but it's free and it covers the essentials.

SaaS content team

A paid crawler licence, Search Console and GA4 joined to your CRM, Ahrefs or Semrush for links and rankings, and a dedicated AI tracker for prompt-level mentions and citations. This is the stack we see most often in the teams we work with.

Enterprise

An enterprise SEO platform with AI visibility built in, plus warehouse-level joins to product and revenue data. At this size the audit runs continuously rather than quarterly.

Monthly content audit data flow: crawl, join Search Console and GA4, add AI citation data, build the backlog
How the tools feed one audit backlog.

Field note from MADX: the columns we export per URL

Before every audit sprint we export one row per URL with: status code, title, word count, last meaningful update, clicks and impressions for 3 and 12 months, top query and position, conversions, referring domains, internal links in, AI citations on tracked prompts, brand mentions on buyer prompts, and the proposed action.

Sixteen columns, one owner, one decision per row. Tools fill most of them, but the last update date often needs a human check, and the action column is always a human call.

Freshness is the column most stacks miss. Seer Interactive found 75% of pages LLMs cite were updated in the last year, so record the last meaningful update by hand if no tool gives it to you.

"Recency still matters, and it is the last update that counts, not the publish date."

Sonny Vasquez, SEO Manager, Seer Interactive · Study: Content Recency's Impact on AI Visibility in 2026

Once the tools surface what needs work, the refresh itself is covered in our guide to content refresh, and our guide to content freshness explains which updates count. If you'd rather not build the stack yourself, our SaaS SEO agency runs it as part of every engagement.

Frequently Asked Questions

What tools do I need for a content audit?

At minimum: a crawler to build the URL inventory, Google Search Console for search performance, GA4 for engagement and conversions, and an AI visibility tracker to see which pages AI engines cite. A spreadsheet joins the data and records one decision per URL.

Can I do a content audit for free?

Yes, for smaller sites. Screaming Frog's free version crawls up to 500 URLs per crawl, Search Console and GA4 are free, and Ahrefs Webmaster Tools gives free access to Site Audit and Site Explorer for verified sites. AI visibility tracking is the part that usually needs a paid tool or manual prompt checks.

What is the best content audit tool for SEO?

There isn't one tool that covers every step. Google Search Console is the most important single source because it shows real clicks and queries per page. Pair it with a crawler for the inventory and an AI tracker for citations and mentions.

How do I track AI citations for my content?

Use an AI visibility tool such as Ahrefs Brand Radar, Peec AI, Otterly.AI, Profound or Semrush's AI Visibility reports. Build a fixed set of buyer and informational prompts, run them on a schedule, and record which of your URLs appear as sources.

What's the difference between an AI mention and an AI citation?

A mention is your brand name appearing in the text of an AI answer. A citation is the answer linking to your page as a source. Mentions matter most on buyer queries, where they act as recommendations, and citations show which pages AI engines trust.

How much data does Google Search Console keep?

Google's help documentation says Search Console keeps data for the last 16 months. The Performance report shows the past three months by default, and you can change the date range to compare year on year.

Work with MADX

Want this done for your brand? Get a free AI visibility audit.

Get my free AI visibility audit
Get started

Ready to Win in AI Search?

Free GEO audit and a 30-min teardown of your current AI visibility. No pitch, no commitment.

OR, REQUEST AN AUDIT