Most AI blog writers hand you a finished post and leave you guessing whether it's any good. Acta AI grades every article across six dimensions so you know exactly where it stands before it goes live. The first AI content scoring system built specifically for the age of AI-generated content.
Acta AI started because our founder was managing SEO content for multiple clients at once. They all wanted the same thing: consistent blog output to drive organic traffic. One person writing for many clients doesn't scale, so AI generation was the obvious answer. But the output was embarrassing. Generic openings, hedging language, no real substance. Putting her name on that wasn't an option.
The rest of the AI writing industry didn't seem to care. Generate, publish, move on. The internet was filling up with content that technically existed but said nothing, and search engines were starting to punish it. We weren't going to contribute to the slop.
What started as a simple quality check evolved through months of trial and error, testing scoring criteria against real published content, refining thresholds, reviewing hundreds of AI-generated articles to understand exactly where they fail. Each dimension was calibrated against what actually separates content that ranks from content that gets ignored.
The result is an automated editorial layer that forces the AI to evaluate its own work before anything gets published. Six dimensions. Dozens of sub-metrics. Every article gets graded the way a senior editor would review it. If the score is low, you know exactly what to fix. The AI doesn't just write. It reflects on its own output.
Measures whether your content matches the reading level of your target audience. Thresholds adapt automatically based on your content’s formality. A casual blog post and a technical whitepaper are scored against different benchmarks, so you are never penalized for writing at the level your readers expect.
Checks whether your content is built for search engines to understand. Heading hierarchy, section balance, word count targets, and metadata completeness are the structural signals that determine whether Google can parse and rank your page.
Detects whether your content reads like AI wrote it. Scans for patterns across multiple categories of AI writing habits and measures how varied and human your prose actually sounds. Carries the highest weight in the composite score because, in the age of AI content, sounding human is the hardest thing to get right.
Evaluates whether your content demonstrates real expertise and experience, which are the signals Google uses to determine trustworthiness. Adapts to your writing voice: a first-person practitioner sharing field experience is scored differently than an institutional authority citing research.
The only dimension that uses a second AI model to evaluate the first. Checks whether your content contains verifiable specifics, evidence-backed claims, and actionable takeaways, or whether it is 1,500 words of sophisticated nothing.
Measures how likely AI search engines like Google AI Overviews, ChatGPT, and Perplexity are to extract and cite your content. As AI-powered search becomes the default, content that is not structured for citation becomes invisible.
Every article is scored automatically at the end of the content pipeline. No manual step required. Five dimensions are scored locally at zero additional cost. One dimension uses a second AI model to evaluate depth, costing roughly one cent per article.
The composite score is a weighted blend of all six dimensions, with originality weighted highest because, in the age of AI content, sounding human is the hardest thing to get right.
78+
Excellent
Publish-ready
70–77
Strong
Minor improvements possible
58–69
Promising
Specific areas need attention
Below 58
Needs Work
Revision recommended before publishing
Every dimension that scores below threshold comes with specific revision suggestions. You can either edit manually or use Revise with AI to give natural-language feedback. The system rewrites the full article, then rescores automatically.
Every article generated through Acta AI is scored automatically as the final pipeline step. Scheduled posts, Content Forge articles, and test panel drafts all get scored before you see them.
Posts in the review queue show their Acta Score badge alongside the title. Sort by score to prioritize what needs attention. Low-scoring posts are flagged before they reach your site.
When a dimension scores low, the score card shows exactly what to improve. Use Revise with AI to give feedback in plain English. The article is rewritten and rescored automatically. Iterate until the score reflects content you are proud of.
Scores of 80 and above indicate publication-ready content. Scores between 60--79 are solid but have room for improvement in one or two dimensions. Scores below 60 typically flag a structural issue -- thin content, missing meta, or heavy AI-pattern usage -- worth addressing before publishing. The score is a guide, not a gate: you can always publish regardless of score.
The Acta Score is the weighted average of six dimension scores. Each dimension uses specialized analysis -- from readability metrics to AI-powered semantic evaluation -- calibrated to measure real content quality, not keyword stuffing.
Scoring is included in every plan at no additional cost. Every post is scored automatically as part of the content pipeline.
SurferSEO Content Score focuses exclusively on keyword density and NLP term coverage relative to competing pages. Acta Score measures six independent dimensions -- including Originality (AI pattern detection), E-E-A-T (experience signals), and GEO Citability (AI search readiness) -- that SurferSEO does not evaluate. The two tools are complementary: Acta Score tells you about content quality, SurferSEO tells you about competitive keyword alignment. Acta Score is included with every plan at no extra charge; SurferSEO starts at $89/month.
Yes. Any edit marks the score as stale, and a rescore button appears on the post. One click regenerates all six dimensions. If you use Revise with AI, rescoring happens automatically after each revision.
Not currently. The Acta Score is integrated into the Acta AI content pipeline and evaluates articles generated through the system. It is not available as a standalone tool.
GEO stands for Generative Engine Optimization -- the practice of optimizing content for AI-powered search engines like Google AI Overviews, ChatGPT, and Perplexity. The GEO Citability dimension measures whether your content is structured in a way that these systems are likely to extract and cite.
14-day free trial. Every post scored automatically across all six dimensions.