Directory Citation Coverage & NAP Consistency Benchmarks India Healthcare 2026

Six numbers to anchor the rest of the report

Methodology

This report audits 602 live citation records across the top-40 India healthcare-relevant directories for the 328-GBP Angryturtle managed portfolio, between 1 January 2026 and 31 August 2026. The audit is field-level: each citation was compared against the canonical Google Business Profile for the same operator on three fields — business name, physical address, and primary phone number — using a normalised string-similarity threshold set at 0.92 across the three fields.

Directory shortlist. The top-40 list is the intersection of two filters. First, directories that appeared in the top-100 India healthcare citation footprint across the 328-GBP portfolio, meaning at least eight percent of the managed listings had a live record on the directory. Second, directories that surfaced in the top-two pages of Google search for at least one branded healthcare query during the reporting window. The shortlist mixes general-purpose business directories, healthcare-specific directories, and India regulator-adjacent directories. No individual directory is named in this report.

Field-level match rules. Business name is a normalised comparison after stripping legal suffixes (Pvt Ltd, LLP), whitespace and case. Address is a normalised comparison after collapsing suite-number formats and expanding common abbreviations (Rd → Road, Blvd → Boulevard, Fl → Floor). Phone is a numeric-only comparison against the canonical GBP primary phone plus any secondary phones the operator declared to the audit. A record passes on a field if the normalised strings match at or above 0.92 similarity.

Anonymisation. No operator name, doctor name, address, phone number, directory name or citation URL appears anywhere in this report or its underlying published dataset. All figures are aggregates by category, city or directory-type. Where a rate is a per-directory proportion, we report the sample proportion. No inference is made about any individual directory or record.

What this report does not claim. This is not a directory-industry ranking. It is not a national citation-footprint census. It is the aggregate NAP-consistency state of a specific managed portfolio across a specific shortlist of directories, published so healthcare operators and marketing leads have a benchmark to hit rather than an unknowable target.

Finding 1 · Full-NAP consistency sits at 61.4 percent portfolio-wide

The number: 61.4 percent of the 602 citation records match the canonical GBP on all three NAP fields. Roughly four in every ten citation records carry a drift on at least one of name, address or phone.

The three fields do not fail equally. Business-name consistency is highest at 91.2 percent — brand names are stable and hard to accidentally mis-transcribe. Phone consistency is middle at 82.8 percent — the drift is almost always a legacy number that the operator retired without updating the directory. Address is worst at 74.6 percent — legacy suite numbers, pre-relocation addresses, and directory-side abbreviation quirks all reduce match rate.

Finding 2 · Address drift dominates the failure mode

The number: the 25.4 percent address-mismatch rate is the largest single contributor to NAP-consistency loss. The mismatch decomposes into four sub-patterns.

Source: Angryturtle field-level citation audit, Jan-Aug 2026. Shares are of the address-mismatch universe.

Finding 3 · Phone drift is smaller but more operationally dangerous

The number: phone match rate sits at 82.8 percent — meaning 17.2 percent of citation records carry a phone number that is different from the canonical GBP.

Phone drift is smaller than address drift in raw volume, but it is more operationally dangerous for two reasons. First, phone numbers on citations feed Google's local ranker directly as an identity signal — a mismatch discounts the record's contribution to the operator's citation weight. Second, and worse, when the citation carries a phone number that is also live somewhere else on the web (a call-centre number, or a legacy number now assigned to a different business), Google can treat the citation as evidence of a duplicate business and trigger a merge review on the operator's GBP itself.

Finding 4 · Owner-claimed records outperform unclaimed by roughly 22 percentage points

The numbers: full-NAP consistency on owner-claimed records sits at 76.4 percent. On unclaimed records — those the directory generated without operator involvement — the rate falls to 54.4 percent. The gap is roughly 22 percentage points.

Claim status is the single highest-leverage variable in the audit. Every managed listing in the sample carries a claim programme that ranks the top-40 directories by expected citation weight, then works through the claim flows in that order. Directories that offer no claim flow — some regulator-adjacent registries, some aggregator databases — are handled separately via correction requests.

Finding 5 · Category shape matters — fertility and hospital carry the worst legacy

The table below shows full-NAP consistency by category type for categories with at least 40 citation records across the sample.

Categories with fewer than 40 citation records excluded for stability. Consistency reported at the 0.92 similarity threshold across all three NAP fields.

Finding 6 · Half the drift can be fixed inside one 90-day sprint

The pattern-mix analysis suggests a specific cleanup order. If an operator fixes the two highest-frequency drift patterns — legacy suite numbers and pre-relocation addresses — inside one 90-day sprint, roughly 64 percent of the address-mismatch universe collapses. Combined with a phone-strategy audit (replacing shared toll-free with unique direct-dial per premises where feasible), the operator can move full-NAP consistency from 61.4 percent to roughly 75 percent inside one quarter.

The remaining 25 percent of drift lives in directories with no claim flow, in landmark-based addresses that require regulator or directory-side moderation, and in aggregator databases that resell to smaller directories. These are the second-quarter cleanup targets.

Finding 7 · Directory type predicts drift more than directory rank

Grouping the 40 directories into four types — general-purpose business directories, healthcare-specific directories, regulator-adjacent registries, and aggregator databases — the drift patterns split cleanly.

• General-purpose directories (69.4 percent consistency) — highest, because they offer straightforward owner-edit flows.
• Healthcare-specific directories (64.4 percent) — good, because operators tend to have claimed the record early.
• Regulator-adjacent registries (49.4 percent) — low, because updates require documentary evidence and are slow.
• Aggregator databases (43.4 percent) — lowest, because the operator often cannot see the record without a paid subscription.

Finding 8 · NAP drift is a leading indicator of GBP merge risk

Cross-referencing this study with the parallel duplicate-listing audit on the same 328-GBP portfolio, operators with full-NAP consistency below 55 percent saw roughly 3.4x the merge-candidate rate on their GBP compared with operators above 75 percent. The mechanism is the phone-collision pathway from Finding 3 combined with the legacy-address pathway from Finding 2 — both feed Google's duplicate-detection ranker.

Citation cleanup is not a separate workstream from GBP protection. It is one of the most direct inputs into GBP protection.

What this means for healthcare marketers

Four takeaways worth acting on this quarter.

1 · Claim every claimable record on the top-40 directories first

Owner-claimed records outperform unclaimed by 22 percentage points on full-NAP consistency. This is the highest-leverage single move in citation cleanup.

2 · Fix legacy suite numbers and pre-relocation addresses in one 90-day sprint

Together those two patterns account for 64 percent of the address-mismatch universe. Fixing them moves portfolio full-NAP consistency from 61.4 percent to roughly 75 percent inside one quarter.

3 · Standardise phone architecture before category or attribute changes on GBP

A shared toll-free number sprinkled across every citation is the fastest way to build phone-collision duplicates. Unique direct-dial per premises with a call-centre overflow is the safer architecture.

4 · Treat citation cleanup as GBP protection, not a separate line item

Full-NAP consistency below 55 percent tracks with 3.4x the merge-candidate rate on the operator's GBP. Cleanup is not a nice-to-have.

Frequently asked — directory citations and NAP for Indian healthcare, 2026

What does NAP consistency mean and why does Google care?

NAP is shorthand for Name, Address and Phone — the three identity fields that appear on every listing of a business across the open web. Google's local ranking model treats consistent NAP across many independent sources as a strong "this business exists and is what it claims to be" signal. Inconsistent NAP is treated as ambiguity — the ranker cannot tell whether two variants describe the same business or two different ones, so it discounts the weight it gives to any single listing.

How was the top-40 directory list chosen for this audit?

The list is the intersection of two filters. First, directories that appeared in the top-100 India healthcare citation footprint across the 328-GBP portfolio — meaning at least eight percent of the managed listings had a live record on the directory. Second, directories that showed up on the second search-results page or higher for at least one branded healthcare query in the reporting window. The result is a working shortlist of 40 general-purpose, healthcare-specific, and India-regulator-adjacent directories that actually move the needle. No individual directory is named in this report.

What is the single biggest source of NAP drift for Indian healthcare listings?

Phone number changes on the GBP that never propagate to legacy directory records. When a clinic upgrades from a landline to a virtual mobile line, or a chain routes calls through a central call-centre number, the new number lives on Google Business Profile and the operator's website — but 30 to 60 percent of the old citation records keep the retired number. That phone-collision then becomes a duplicate-detection risk on the GBP itself, on top of the NAP-consistency loss.

Should healthcare listings be on directories run by aggregators the operator does not control?

Yes for citation weight, but with three caveats. First, the operator must claim the record wherever the directory offers a claim flow, so future edits are under owner control. Second, the operator should never allow the directory to embed a proxy phone number or a proxy booking URL that hides the real contact — that breaks NAP for Google and is one of the two most common triggers of a soft-suppression event. Third, the operator should audit the record quarterly for silent edits by the directory's own moderators.

Which category types have the worst NAP consistency in the sample?

Fertility clinics (52.1 percent full-NAP consistency) and hospitals (56.3 percent) sit at the bottom. Both categories have historically been listed by third parties before the operator ever claimed a record, so the older citations carry legacy data that the operator has never audited. At the top of the sample, diagnostic centres (78.4 percent) and pediatric dental practices (81.2 percent) sit highest — both categories tend to have fewer legacy citations and more owner-claimed records.

How does ICG operate directory citation cleanup for healthcare portfolios?

Angryturtle runs a quarterly citation-scrape across the top-40 India healthcare directories plus a monthly delta-check against the operator's current NAP. Drift events are surfaced inside 24 hours. The operator gets a per-directory correction workflow — with the directories that require a claim flow, an edit flow, or a proxy-record removal all mapped out. Retainers from Rs 20,000/month, custom-scoped per engagement.

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