Canonical Profile
Used for phone normalization.
Scoring Options
AdvancedOnly used when Match Method is Fuzzy.
Citations
| # | Directory | Name | Address | Phone | Website | Actions |
|---|
Tip: Paste from spreadsheets; each cell accepts text.
Formula Used
Each field is normalized based on selected rules: lowercase, punctuation stripping, legal suffix removal, street and directional normalization, phone digit canonicalization, and domain canonicalization.
Let sim(x, y) be similarity between canonical and citation values. For Exact, sim=1 if identical, otherwise 0. For Fuzzy, we use a normalized Levenshtein similarity: sim = 1 − dist(x, y) / max(|x|, |y|). The field scores are in [0,1].
Per‑citation weighted score: S = 100 × (wN·simName + wA·simAddress + wP·simPhone + wW·simUrl), where weights are normalized to sum to 1. A citation passes if S ≥ threshold. Overall metrics are averages across citations.
How to Use
- Enter your canonical name, address, phone, and URL above.
- Adjust normalization toggles and field weights to match guidelines.
- Add or paste citation rows, one directory per row.
- Choose match method and threshold; then click Calculate Scores.
- Review outliers, then export the result table as CSV or PDF.
Example Data
| Directory | Name | Address | Phone | Website |
|---|---|---|---|---|
| Google Business Profile | CodingAce Web Solutions | 123 Market Street, Suite 400, Karachi | +92 21 555 1212 | https://codingace.net |
| Yelp | CodingAce Web Solutions LLC | 123 Market St Ste 400, Karachi | (021) 555‑1212 | http://www.codingace.net/ |
| Bing Places | Coding Ace Web Solutions | 123 Market Street #400, Karachi | 021‑555‑1212 | https://www.codingace.net |
| CodingAce | 123 Market St, Karachi | +92 21 5551212 | https://facebook.com/codingace | |
| Apple Maps | CodingAce Web Solutions | 123 Market St, Suite 400 Karachi | +92 (21) 555 1212 | https://codingace.net |
| YellowPages | CodingAce Web Solutions Company | 123 Market ST, Ste 400, Karachi | 021 555 1212 | http://codingace.net |
FAQs
It’s the degree to which your business’s name, address, phone, and website appear consistently across citations. Higher consistency reduces confusion and can improve local visibility.
They reduce superficial differences like punctuation, casing, suffixes, and address abbreviations, so the comparison focuses on meaningful discrepancies.
Common practice emphasizes business name and address most, then phone, then website. You can tailor weights to match your audit policy.
Levenshtein similarity is robust for minor edits. Set a minimum similarity and review outliers manually for best quality control.
Yes. Use the CSV or PDF buttons to export your current results and share with stakeholders.