Discoverable · Methodology
How Discoverable measures client capture, and what the score does not claim
We sell no directory and take no commission, so the score has nothing to sell you but the truth. Here is every rule behind it — the Client Capture Score, how it is measured, how recommendations are ranked, and the limits we hold to.
Client Capture client-capture-1.0.0 · directory rubric rubric-1.0.0 · weight set published-2026.08 (published, measured 2026-08-01)
The Client Capture Score
A 0–100 measure of how well a firm is positioned to be found, trusted and contacted when a potential client is choosing a lawyer. It is built from five outcome components, each weighted by how much it decides who gets the call.
| Component | Weight | What performance measures |
| Google visibility Do you appear when clients search? |
25 |
Local Pack, non-branded organic position, branded-search ownership |
| AI visibility Do AI assistants recommend you? |
25 |
recommendation (name) rate and competitive share of voice across sampled answers |
| Authority & corroboration Does the web substantiate your expertise? |
20 |
how broadly independent sources (directories, profiles, citations) corroborate the firm |
| Trust & prominence Do clients have reason to choose you? |
20 |
review rating and volume clients actually see |
| Conversion readiness Can someone easily contact and hire you? |
10 |
tap-to-call, a contact form, a mobile-ready layout, a free-consultation offer, a clear call-to-action, a low-friction form, chat and analytics/call-tracking on the firm’s own site |
We grade results, not homework. The headline is driven by performance — what is actually happening: whether AI names you, whether Google ranks you, what clients see. The readiness behind each component (complete profiles, site health, freshness) drives your recommendations, but never lifts the score. A firm cannot earn an 85 for having schema while it sits at #9 and is never named by AI.
Confidence, shown separately from the score
Missing data never lowers the score — it lowers confidence. A component we could not measure is excluded from the score and reflected in a confidence grade (A–D) by how much of the 100-point weight we actually measured. "Not connected" is a coverage fact, never a poor result. As more of your market is connected, confidence rises toward A.
Directory profile readiness
One readiness input to Authority & corroboration — not the headline. Every located directory profile is scored against these ten weighted checks (summing to 100); a check we cannot evaluate is excluded, never counted as a failure, and below 40% evaluable we publish no completeness number. Complete profiles help the web substantiate a firm, but they are an input to visibility, not visibility itself.
| Check | Weight | Share of readiness |
| Profile exists |
20 |
|
| Profile is claimed |
18 |
|
| Biography over 150 words |
12 |
|
| Practice areas populated |
12 |
|
| Photo present |
10 |
|
| Address matches canonical record |
10 |
|
| Phone matches canonical record |
8 |
|
| Website link present |
5 |
|
| Credentials or awards listed |
3 |
|
| A review in the last twelve months |
2 |
|
Where AI actually looks, the six we check
How much each directory contributes to AI answers is genuinely contested. Two published studies sampled different engines and disagree by up to fourfold, and on Lawyers.com, completely. We show the full range and rank fixes on the lower bound, so we never send a firm to spend time on a directory the evidence argues about.
| Directory | Est. citation share | Evidence | Published figures | To fix |
| Justia |
10 – 20% |
Wide range |
InterCore Research, 9.7% Citorian, 20% |
Free · ~20 min |
| Super Lawyers |
8 – 33% |
Studies conflict 4x |
InterCore Research, 8.1% Citorian, 33% |
Free · ~25 min |
| Avvo |
5 – 6% |
Studies agree |
InterCore Research, 5.7% Citorian, 5% |
Free · ~15 min |
| Best Lawyers |
4% |
Studies agree |
InterCore Research, 4.3% Citorian, 4% |
Free · invite-only · ~0 min |
| Expertise.com |
3 – 5% |
Studies agree |
InterCore Research, 4.9% Citorian, 3% |
Free · ~30 min |
| FindLaw |
1% |
Single source |
Citorian, 1% |
Invitation-only |
| Martindale-Hubbell |
under 1% |
Single source |
Citorian, 0.8% |
Free · ~20 min |
| Lawyers.com |
0 – 6% |
Studies conflict |
InterCore Research, 5.7% Citorian, 0% |
Free · ~20 min |
| Nolo |
under 1% |
Single source |
Citorian, 0% |
Invitation-only |
Why some numbers are ranges. Ranges span two published studies that sampled different engines and disagree by up to 4x. Fixes are ranked by agreement, not by midpoint. Supersede this with internal measurement. The raw figures are public:
/v1/weight-sets/published-2026.08 and
/v1/rubric/rubric-1.0.0.
What "unknown" means
When a page will not load, a directory blocks automated checks, or a profile is truncated, we report unknown, "could not check", with the reason. We never render that as "not listed." A directory we could not evaluate is excluded from your score and never appears in your fixes: our failure is not your chore.
How client questions are weighted
The AI score is measured against the questions a potential client actually asks, organised by intent — immediate hiring, comparison & trust, problem & eligibility, cost & process — and weighted by how close the asker is to hiring and the case economics of the practice area. We test the highest-weighted questions for each firm and market. We never invent search volume: the honest claim is "we track the high-value questions clients ask when choosing a firm," never "N searches per month," which no one can measure at that precision.
How recommendations are ranked
Not by which gap is biggest — by which move is worth your time. Each candidate is weighed by the value of the client intent behind it, the size of the visibility gap, the competitive disadvantage (how many rivals win instead), the strength of the evidence for the cause, and how much you can actually control it — divided by cost and effort. We never punish a firm for what it cannot change, like distance. The result is one ordered list, the highest-value move first, with directory fixes as one kind of action among search, AI, authority, trust and conversion. That ranking is the product.
How improvement is verified
A baseline is preserved, the change and its completion date recorded, and after the next re-check the affected questions are re-tested against the ones the change should not have touched, with competitors re-measured alongside. Each result is labelled by confidence — verified improvement, likely influence, correlated improvement, no measurable effect yet, or insufficient evidence. "Verified" is only ever set by a real re-test, never asserted by whoever did the work.
What the score does not claim
Visibility is not a case
Appearing more often does not guarantee an inquiry, and an inquiry is not a signed case. We measure position, not outcomes we cannot see.
Correlation is not causation
A firm can improve for reasons we did not cause. We label likely influence honestly and never claim credit a re-test cannot support.
Modeled is not verified
Any opportunity figure is arithmetic on assumptions you supply, shown as a range and labelled modeled — never presented as revenue we measured.
Unknown is not failure
If we could not check, we say so. Missing data lowers confidence, never the score, and never reads as a firm missing from a source it is on.
No fake precision
Citation shares are ranges with an evidence label; AI presence is a frequency with an error bar. Never an invented point estimate.
No pay-to-improve, no badge
No firm can pay to move its score, and we will never hand you a "Score: 92" seal for your advertising — bar-rule risk we will not create.
Independence is the mechanism, not a slogan. The same firm scores identically whether it pays us nothing or the top tier, enforced by a test, because the moment a paid plan can move a score, the ranking becomes a sales tool instead of a measurement. We take no commission from any directory and sell no placement.