AI doesn't cite the loudest brand. It cites the most connected one.
AI doesn't cite the loudest brand. It cites the most connected one.
This is how we engineer
Audit
Audit Common Crawl audit
We audit your Common Crawl indexing status — the corpus AI actually trains and retrieves on — and map exactly what AI currently knows about your brand.
Map
Map Co-citation network map
We map the co-citation networks your competitors are already inside. Not keywords. Clusters of semantic authority — and the harmonic centrality of every node in them.
Score
Score Cosine, not DR
Every content and backlink opportunity is scored by cosine similarity to your target clusters — not domain rating.
Engineer
Engineer Build citation presence
We engineer your brand into the citation networks AI uses to recommend sources. Then we track, measure, and compound it.
Cosine similarity scoring
Opportunity value calculated against your target cluster vectors. Not DR.
Harmonic centrality mapping
Clusters mapped by AI retrieval weight. We find the nodes that matter to the model.
Hallucination correction
Track what AI says about you vs. ground truth — and engineer the corrections into the corpus.
Your brand is either inside the citation clusters.
Or it isn't.
Your brand is either inside the citation clusters. Or it isn't.
- Your citation presence across your target queries
- Which authority bubbles you’re absent from, and who’s inside them
- Your content’s semantic alignment score vs. the sites AI is currently citing
- Your backlink profile scored by topical similarity, not domain rating
- A roadmap to begin engineering citation probability from day one





