Every WordPress SEO plugin shows you a green/yellow/red score based on a dozen rule checks. Focus keyword in the title? Yes. Meta description length? 150 characters. Image alt text? Present. That’s all fine — but it’s the same analysis SEO plugins have been running since 2014, and it doesn’t tell you whether your content is actually good.
SEO Forge’s AI SEO Analysis is the next layer. A deep semantic pass that reads your content and tells you what a skilled SEO editor would tell you — what you covered well, what you missed, how you compare to the top 10 SERP results, and exactly what to add to push the page up the rankings.
These checks are useful, but they’re mechanical. A page can score 95/100 on all of them and still fail to rank — because it doesn’t actually cover the topic as well as the pages that already rank.
None of this can be captured by a rule-based checker. It takes a language model that’s read a lot of high-ranking content.
When you click Run AI Analysis on the SEO Forge meta box, the plugin sends your post content (title, headings, body, focus keyword) to our managed AI backend. Your content is not stored or logged — it’s processed in memory and the response is returned immediately.
The AI fetches a snapshot of the top 10 search results for your focus keyword. This is the “what’s currently ranking” context the analysis needs.
The AI runs a multi-dimensional comparison: topic coverage, depth per section, LSI density, entity mentions, structural hierarchy, E-E-A-T signals, and more. For each dimension, it scores your content against the top 10.
You get a structured report with:
Each recommendation has an Apply with AI button that uses your AI credits to make the change.
A 1,500-word article can be thin if 1,200 of those words are fluff. The AI recognizes real content depth vs padding.
An article that mentions the focus keyword 15 times but never actually addresses the query gets flagged.
If every top-ranking article covers subtopics A, B, and C, and yours only covers A and B, the AI tells you C is missing — and suggests what to write.
A great article on “best index funds” with no author byline, no sources, and no “updated 2026” date is going to struggle against competing content that has those trust signals. The AI recommends adding them.
Content full of “might be,” “could potentially,” “some experts suggest” ranks worse than content that takes a clear position. The AI catches these.
If your content is essentially a rewrite of what already ranks, the AI notes that you have no unique angle and suggests one.
AI SEO Analysis feeds directly into AI Fix Issues (for one-click fixes), AI Content Optimizer (for structural changes), and AI Content Brief (for pre-writing outlines). The whole AI SEO stack works together.
Analysis results are cached for 24 hours to save AI credits. Re-run analysis anytime from the meta box or the dashboard.
Run AI analysis on every published post in one go. SEO Forge queues the work via the Forge background job processor and returns results asynchronously. Perfect for agency content audits.
AI SEO Analysis uses AI credits from your account balance:
Your 100-credit activation bonus covers ~30 in-depth analyses — enough to evaluate the feature on a priority set of posts. For site-wide analysis, most users add a 1,000-credit pack ($9, ~330 analyses); agencies running full audits regularly pick up the 5,000 ($35) or 25,000 ($149) packs. Packs never expire.
See pricing and credit details →
Get SEO Forge — from $39/year →
AI SEO Analysis is included in every paid plan. Claude-powered, no API keys required.