A standard SEO audit checks for Google signals. An AI SEO audit checks for entirely different things. Here is how to run one and what to fix first.
When most marketers say "SEO audit," they mean: check for crawl errors, fix broken links, review page speed, analyze backlinks, and identify technical issues that affect Google rankings. This is valuable work.
An AI SEO audit checks for something entirely different: signals that influence whether AI engines like ChatGPT, Perplexity, and Google AI Overviews will cite your content in generated answers.
These are not the same signals. A page can be perfectly optimized for Google (fast, well-linked, keyword-optimized) and completely invisible to AI engines. And a page with a moderate PageRank can earn consistent AI citations if it has the right structure and schema.
In 2026, you need both audits. Here is how the AI SEO version works.
Before any content quality question, AI engines need to be able to reach your pages. Check for:
Missing or malformed schema is the most common reason for low AI citation rates. Check each page for:
A page missing all schema is essentially invisible to AI engines at the structured data extraction layer.
Even without schema, well-structured content is more citable than poorly structured content. Check for:
AI engines need to understand what your brand is. Check for:
[TrueCite's AI SEO Audit](/features/ai-seo-audit) scores each page across three weighted dimensions:
Technical Score (30% weight)
Checks: title tag presence and length, meta description, canonical URL, single H1 tag, image alt text, robots.txt AI crawler access. Technical issues are table-stakes — they block citation regardless of content quality.
Content Score (35% weight)
Checks: word count above minimum threshold, heading hierarchy (H2/H3 structure), internal links present, reading level appropriate, content freshness signals. Content score measures whether there is enough substance for AI engines to form confident citations.
AI SEO Score (35% weight)
Checks: FAQPage schema present, Organization or Product JSON-LD, entity mentions in content, definition/answer-first paragraphs, HowTo schema on guide pages, Q&A structured content. This is the dimension most directly correlated with AI citation rates.
Overall score = 30% Technical + 35% Content + 35% AI SEO
A page scoring 40/100 needs work. A page scoring 75+ is well-positioned. Most unoptimized SaaS pages score between 30–45.
Not all issues are equal. Here is the priority order:
Critical (fix immediately):
High (fix this week):
Medium (fix this month):
Low (fix when time allows):
[Run your first AI SEO Audit](/sign-up) — your site's AI readiness score appears in minutes.
After publishing new pages — Every new page should pass an AI SEO check before launch. Retrofitting schema and restructuring content after publication is more work than building it in.
After major site updates — Template changes, CMS migrations, or navigation restructuring can inadvertently change robots.txt access or canonical URL patterns.
Monthly for actively optimized sites — If you are regularly publishing AEO content and running Fix Generator improvements, monthly audits track whether the changes are actually improving your page scores.
The AI SEO audit does not replace traditional SEO auditing — it extends it. Run both, on a schedule that matches your publishing pace.