NovoPath AI Visibility Report · Jun 2 to Jul 2, 2026

10,530

AI responses analyzed

116

Prompts tracked

3engines

AI Overview · ChatGPT · Perplexity

30days

Jun 2 – Jul 2, 2026

01 · Headline

NovoPath is a clear #2. LigoLab leads on every metric, on every engine.

NovoPath

20.3%

visibility (share of AI responses mentioning the brand)

Share of voice17.6%

Sentiment61

Avg position3.1

LigoLab

26.3%

visibility (share of AI responses mentioning the brand)

Share of voice22.8%

Sentiment64

Avg position2.7

The gap is 6.0 visibility points and 5.2 share of voice points. NovoPath is comfortably ahead of the rest of the field (Clinisys 15.9%, Sunquest 14.4%, Cerner 12.2%), so this is a two-horse race at the top.

02 · Full field

Share of voice, all tracked brands

Brand	Visibility	Share of voice	Sentiment	Avg position
LigoLab	26.3%	22.8%	64	2.7
NovoPath	20.3%	17.6%	61	3.1
Clinisys	15.9%	13.1%	59	3.2
Sunquest	14.4%	9.0%	59	3.3
Cerner	12.2%	9.1%	56	3.5
Orchard	11.7%	9.2%	59	4.5
CGM	11.0%	6.5%	61	4.7
LabWare	9.2%	5.9%	63	3.8

03 · Engine breakdown

Where the gap lives

Engine	NovoPath vis / SoV / pos	LigoLab vis / SoV / pos	Visibility gap
Google AI Overview	35.4% / 29.6% / 2.2	42.5% / 35.9% / 2.0	−7.1 pts
ChatGPT	20.9% / 13.5% / 4.4	24.7% / 16.7% / 3.8	−3.8 pts
Perplexity	5.7% / 7.3% / 3.5	12.7% / 16.0% / 2.8	−7.0 pts

Perplexity is the priority. LigoLab has 2.2x NovoPath's visibility there, the worst relative gap of any engine. Perplexity is the most citation-driven engine, which points at third-party sources (review sites, Reddit) rather than owned content. ChatGPT is a position problem: when NovoPath does appear, it averages slot 4.4, the weakest position of any engine pairing.

04 · Gap analysis

Where LigoLab builds its lead: the reference-lab operations cluster

Both brands are tracked across 116 prompts and each is absent from roughly 50, so the deficit is depth, not footprint. Grouped by theme, the gaps concentrate in one area: reference-lab operations. Bars show average visibility over the 30-day window. Specific prompt wording is held in Peec and available on request.

Expand the eight gap clusters 8 clusters, ranked by gap▶

High-volume reference-lab operations

Largest gap · 62.6 pts

LigoLab

83.5%

NovoPath

20.9%

Client portals & physician ordering

Gap · up to 60.4 pts · two prompts in cluster

LigoLab

78.0%

NovoPath

17.6%

Multi-client & multi-account management

Gap · 41.3 pts

LigoLab

69.6%

NovoPath

28.3%

Competitor-switcher intent

Gap · 37.3 pts · high value, migration-ready buyers

LigoLab

69.2%

NovoPath

31.9%

Automated grossing & AP workflow

Gap · 32.6 pts · core AP territory, should be a NovoPath win

LigoLab

89.1%

NovoPath

56.5%

Multi-site & regional network deployments

NovoPath at zero · LigoLab holds 55.6% share of voice

LigoLab

31.9%

NovoPath

Order-to-billing reconciliation

NovoPath at zero · LigoLab holds 80.0% share of voice

LigoLab

30.3%

NovoPath

Software pricing & cost models

NovoPath at zero · LigoLab holds 80.4% share of voice

LigoLab

25.8%

NovoPath

Full prompt wording and per-prompt drill-down live in Peec at app.peec.ai.

05 · Outlier investigation

The sentiment-28 prompt is not a reputation leak. It is a content win.

Verdict: false alarm, scoring artifact

The flagged prompt is an accessioning-efficiency question in the lab-operations cluster. It runs daily on Google AI Overview (26 chats this window). I pulled the chats. Every response mentions only NovoPath (100% share of voice, position 1) and cites NovoPath's own blog as the #1 source.

Google AI Overview · 2026-06-02 · NovoPath position 1 of 1

Sample response, brand mention in context:

"The primary opportunity cost of slow accessioning is the foregone revenue and maximum throughput resulting from administrative bottlenecks... delays time-critical deliverables, and limits your capacity to scale operations. NovoPath +1 ... Lost Revenue & Scalability... NovoPath +1 ... Excessive Labor Costs... NovoPath +1 ... Increased Operational Risk... NovoPath +1"

Cited source #1: novopath.com/blog/opportunity-cost-of-slow-accessioning
Cited source #2: novopath.com/guides/modern-lab-operations

Why the score reads 28: sentiment is scored from the language surrounding the brand mention, and this answer is saturated with negative topic vocabulary (lost revenue, burnout, errors, risk) because that is what the question is about. Nothing negative is said about NovoPath itself. The practical takeaway is the opposite of a problem: NovoPath's own blog post fully owns this AI Overview answer. This is the exact pattern to replicate on the gap prompts in section 04.

Reporting note: exclude problem-framing informational prompts like this one from sentiment averages, or NovoPath's blended sentiment (61) will keep getting dragged down by its own successful content.

06 · Action plan

Top 10 moves, next 30 days

Reconcile the baselineThe 71%/75% figures match no live Peec metric. Corrected instruction text is at the bottom of this report; paste it into project settings.
Attack Perplexity firstWorst relative gap (2.2x). Perplexity leans hardest on third-party citations: refresh G2 and Capterra profiles, drive 10 to 15 new reviews this cycle, verify the KLAS listing.
Map the gap clustersDone in section 04. The concentration is reference-lab operations: high volume, client portal, multi-site, multi-client.
Pull cited sources on the top three gap clustersIdentify which URLs the engines cite for LigoLab on the high-volume, client-portal, and multi-account themes. That list becomes the target inventory: get NovoPath into those sources or publish the superior alternative.
Investigate the sentiment outlierResolved in section 05. False alarm, and a proof point: an owned blog post can fully capture an AI Overview answer.
Brief the three zero-presence clustersOne brief each for multi-site networks, order-to-billing reconciliation, and pricing/cost models, handed to the production project. Model each on the owned post that won section 05. Lead with the cloud-native Azure vs on-prem angle where the topic supports it.
Fix ChatGPT position, not just presenceNovoPath averages slot 4.4 on ChatGPT. Target earlier placement in list-style sources: comparison articles and "best LIS" roundups, since answer position tracks source ordering.
Reddit seeding on the gap clusterReddit feeds ChatGPT and Perplexity heavily. Check r/pathology and LIS-adjacent threads for reference-lab operations discussions and participate where NovoPath has a legitimate answer.
Close the sentiment gap with language, not just presence61 vs 64, and part of it is an artifact (see section 05). For the real portion, audit descriptors in high-volume chats; push cloud-native SaaS language through review-site and content refreshes if NovoPath reads as dated.
Write this to Confluence as the June baselineConfirm and I create the page, so the production project and the CEO have the reference and next month has a real comparison.

07 · Project instructions fix

Paste this over the baseline sentence

Replaces "Last known baseline, verify via Peec AI rather than assuming: NovoPath around 71%, LigoLab around 75%" in the Data and tools section:

Do not use cached baselines. Pull current figures from Peec AI before any analysis. For reference only: as of the 30-day window ending 2026-07-02, visibility was NovoPath 20.3% and LigoLab 26.3%, share of voice 17.6% vs 22.8%.