Boost Potential Calculator

Score any blog post for compounding lift.

Paste a URL from your blog. We check the structural signals that actually move rankings and AI citations (H-tag depth, schema presence, FAQ coverage, internal link count, word count, answer-ready blocks) and score the potential lift from a Boost Framework pass.

No signup. Runs entirely in your browser. We don't store the URL.

How it works

Six signals. One score.

The same checks a senior strategist runs before proposing a boost. Every signal is evidence of how much compounding lift the post is leaving on the table.

01 · H-TAG DEPTH

Hierarchy signals scannability

A single H1 and well-nested H2 / H3 structure is the cheapest way to signal topical depth to Google and citation-ready structure to LLMs.

02 · SCHEMA PRESENCE

JSON-LD is AI Overview fuel

Article, FAQPage, HowTo, and Review schema are what AI engines parse when deciding who to cite. Missing schema is invisible ranking.

03 · FAQ COVERAGE

Answer-ready blocks earn PAA

Explicit question / answer pairs earn People Also Ask placement and surface inside Perplexity, Gemini, and AI Overviews.

04 · INTERNAL LINKS

Graph depth compounds equity

Posts with fewer than three internal links from related pages are equity-isolated. We fix that with every boost.

05 · WORD DEPTH

Depth is not volume

Under 900 words usually means intent gaps. Over 3,500 without utility blocks means skim-out. Both lose to structural rewrites.

06 · UTILITY BLOCKS

Interactive assets compound dwell

Calculators, comparison tables, decision trees, checklists. These are what LLM engines cite. Text alone doesn't compound.