What Your Score Means

Score Bands

Every piece of content scored on Will AI Find It receives a score from 0 to 100 based on 11 writing-quality dimensions. The score reflects how likely AI search engines are to cite your content over alternatives on the same topic.

What to Expect

Scoring is calibrated to be honest, not encouraging. A score of 55 is average — not a failure.

Most content on the open internet scores between 40 and 60. This includes the majority of blog posts, product pages, and marketing copy published every day.

Professionally written content — edited, on-brand, competent — typically scores 65 to 75. This is the baseline for content teams with established workflows.

Strong practitioner content that includes real data, named examples, and first-hand experience scores 75 to 89. This is the range where AI citation becomes consistently competitive.

If your first score is lower than expected, that's the tool working as designed. The dimensional breakdown shows exactly where the weaknesses are, and the priority fixes show exactly what to change.

How Iterative Scoring Works

Will AI Find It is built for iteration. Score, fix, rescore. Each round surfaces different problems.

Round 1. The first round catches what a good editor would catch in a single read-through: claims with no numbers behind them, corporate filler where a specific fact should be, and the complete absence of the author's own experience. In our testing, fixing these produced a 36-point improvement in one pass.

Round 2. Once the obvious gaps are closed, the diagnosis shifts. Now it's finding the paragraph that starts the same way as the one before it, the transition that says “Furthermore” instead of making an actual connection, the key finding buried in paragraph six that should be in paragraph one.

Round 3 and beyond. By the third round, the tool is reading like an editor who has already approved the structure and the argument. What's left is rhythm — a run of same-length sentences, a section that lacks any acknowledgment of tradeoffs, a piece that could have been written in any year because it never references the current moment. These are smaller fixes, but they're the difference between content that competes and content that gets cited.

In testing, we scored a ForgeWorkflows blog post at 49. The diagnosis was specific and uncomfortable: the byline said “founder” but nothing in the article sounded like one. A paragraph about API configuration had been pasted from a different draft and never caught in review. Every improvement claim said “measurably” without providing a single measure. We implemented the priority fixes — added the founder's actual perspective, replaced vague claims with real numbers, cut the orphaned paragraph — and rescored: 85. One more round of structural refinements brought it to 90. Three rounds, about 40 minutes of editing. The diagnosis was different every time. I expected the third round to recycle the same feedback. It didn't — it found structural patterns I hadn't noticed because I was focused on the words, not the shape of the paragraphs.

Diminishing returns are real. A 36-point jump in round one, a 5-point gain in round three — that's the normal curve. Early rounds fix what's broken. Later rounds polish what's already working.

Stop chasing the score once the diagnosis feels recycled. If the priority fixes start repeating themes you've already addressed, your content is where it needs to be. Past that point, protecting your voice matters more than polishing every detectable pattern.

Real-World Example

We scored a ForgeWorkflows blog post and optimized it across three rounds. The color progression tells the story.

Total improvement

+41pts

Rounds

3

Total time

~40min

Band progression

Weak→Comp.→Ready

Why Scores Differ from Other Tools

If you've run your content through an AI detector or an SEO tool, your Will AI Find It score may look different. That's because these tools answer different questions.

AI detectors and SEO tools answer questions Will AI Find It doesn't ask. A detector tells you whether your writing patterns resemble machine output — useful for compliance, but not for citability. An SEO tool scores keyword density, backlink authority, and topical coverage — factors Google weighs heavily, but that Perplexity, ChatGPT, and Gemini largely ignore when selecting sources to reference.

Will AI Find It sits in the gap between them. It scores the writing itself — personal voice, concrete data, structural clarity, emotional nuance, generic phrasing — the qualities that determine whether an LLM cites your content or skips it. Reading as human and being worth citing are different problems entirely.

Content can score 88% human on an AI detector and 37/100 on Will AI Find It. Both scores are correct. The content reads as human-written, but it lacks the authority, specificity, and voice that make AI search engines choose it over alternatives.

These tools are complementary. Use an AI detector to check if your content reads as human. Use an SEO tool to check if it's optimized for Google. Use Will AI Find It to check if Perplexity, ChatGPT, or Gemini will actually cite it.