AdvancedMD Appears in 60.5% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • AdvancedMD is mentioned in 60.54% of benchmark AI answers and recommended in 41.96%, but it rarely earns first-place placement.
  • The main fact-checking priorities are pricing per provider and the practice sizes AdvancedMD is best suited for.
  • Priority website pages include the homepage, EHR page, billing software page and pricing page because they carry the most citation weight.
  • The plan focuses on verified buyer questions, approved page briefs and evidence-backed publisher requests rather than reacting to one month of results.

Answer Capsule

In November 2026, AdvancedMD appeared in 290 of 479 AI answers included in the Medical Billing Services benchmark (60.54%). It received 201 recommendations (41.96%), with 121 Top 3 placements and 27 first-place recommendations. A mention means the company appeared in an answer; a recommendation means the answer affirmatively endorsed it.

Our plan compares the company with its competitors, checks conflicting AI claims against reliable sources, and identifies website pages, third-party sources and buyer questions to address. The historical results show how the figures changed across available months. Different monthly samples limit those comparisons, and conflicting AI claims require verification before corrections are proposed.

Current AI visibility

Questions This Section Answers

  • How do AdvancedMD mentions, recommendations and placements compare with its Medical Billing Services peers?

AdvancedMD recorded 290 mentions (60.54%) and 201 recommendations (41.96%) across 479 answers included in the benchmark. Top 3 placements numbered 121; first-place recommendations numbered 27. Framing among its mentions was 214 positive, 75 neutral and 1 negative.

Rank

Company

Mentions

Mention rate

Recommendations

Recommendation rate

Top 3

Top 3 rate

#1

#1 rate

1

athenahealth

461

96.24%

308

64.30%

248

51.77%

118

24.63%

2

Tebra (Kareo)

295

61.59%

209

43.63%

108

22.55%

28

5.85%

3

AdvancedMD

290

60.54%

201

41.96%

121

25.26%

27

5.64%

4

eClinicalWorks

306

63.88%

163

34.03%

70

14.61%

5

1.04%

5

CareCloud

183

38.20%

148

30.90%

74

15.45%

15

3.13%

6

DrChrono

213

44.47%

136

28.39%

33

6.89%

5

1.04%

7

R1 RCM

103

21.50%

87

18.16%

48

10.02%

31

6.47%

8

CureMD

86

17.95%

73

15.24%

18

3.76%

3

0.63%

9

Greenway Health

56

11.69%

22

4.59%

2

0.42%

1

0.21%

10

Medusind

2

0.42%

2

0.42%

0

0.00%

0

0.00%

AdvancedMD sits near the top of this field on reach and endorsement, but the gap to the leader is wide and uneven. It appears in most answers and is recommended in a large share of them, yet first-place finishes are rare relative to how often it is named. That pattern suggests the brand is treated as a credible option rather than the default pick.

The practical question is whether that standing is built on accurate descriptions. Because so many answers mention AdvancedMD, a wrong detail can travel widely. We would pair the visibility picture with a short list of the claims most worth checking, so effort goes where reach is greatest.

What changed since last month

Questions This Section Answers

  • How did AdvancedMD counts and coverage differ across the available monthly snapshots?

Metric

Jul 2026

Sep 2026

Oct 2026

Nov 2026

Mentions

304 / 571 (53.24%)

341 / 595 (57.31%)

337 / 591 (57.02%)

290 / 479 (60.54%)

Recommendations

230 / 571 (40.28%)

182 / 595 (30.59%)

224 / 591 (37.90%)

201 / 479 (41.96%)

Top 3 recommendations

133 / 571 (23.29%)

102 / 595 (17.14%)

143 / 591 (24.20%)

121 / 479 (25.26%)

#1 recommendations

13 / 571 (2.28%)

22 / 595 (3.70%)

35 / 591 (5.92%)

27 / 479 (5.64%)

Only months with verified results are shown. Monthly sample coverage is listed in Methodology.

From October 2026 to November 2026, AdvancedMD's mention count fell from 337 to 290, while its recommendation count fell from 224 to 201. The recommendation rate was 37.90% and 41.96% respectively.

The monthly record moves around without a settled direction. Mentions and recommendations both eased from the prior month, while the recommendation rate rose. Those are separate observations: the two months are separate selected samples, and the rate movement is not explained by the smaller answer sample.

Earlier months show the same unevenness, with recommendation counts swinging while mention counts stayed in a narrower band. For planning, we would treat each month as its own reading and watch the trend across several months rather than reacting to one.

AI recommendation trend

Observed recommendation rate (%), Jul 2026 to Nov 2026

0%15%30%45%60%Jul 2026Sep 2026Oct 2026Nov 202640.28%Jul 2026: 40.28%30.59%Sep 2026: 30.59%37.90%Oct 2026: 37.90%41.96%Nov 2026: 41.96%
  • AdvancedMD41.96%

Separate selected monthly samples. Missing points are unavailable, not zero. Provider/prompt equivalence is unverified; rate movement does not demonstrate causation.

/ Take the next step

Want to Understand Your AI Citation Footprint?

We start every engagement with a full audit of how AI systems reference your brand today.

Measurable, Repeatable Programme

Build a durable foundation of credible citations that compounds over time and continues to influence AI answers as new queries emerge

Citation Architecture Review

Identify which high-authority community sources are and aren't working in your favour across AI platforms.

AI Visibility Audit

Understand exactly how LLMs are referencing your brand today and which sources are shaping those answers.

Step 1. Measure

Questions This Section Answers

  • What should the agency measure and verify first for AdvancedMD?

AI answers contained 3 conflicting claims about AdvancedMD: 0 critical, 2 high, 1 medium, 0 low. Of these, 2 were rated critical or high priority; the critical claims are included in that total. These ratings help prioritize fact-checking. They do not establish that a company or publisher made an error.

The most useful first step is a side-by-side view: where AdvancedMD stands against its closest competitors, and which specific statements about the company are worth verifying. The benchmark already flags a small set of conflicting claims, two of them high priority, which gives a natural starting order.

We would build a scorecard that pairs each disputed topic with the evidence needed to settle it, plus an owner and a status. That keeps fact-checking focused and prevents the team from chasing every inconsistency at once.

Step 2. Make the website consistent

Questions This Section Answers

  • Which recorded claim differences about AdvancedMD should be verified before proposed page edits?

Review topic

Severity

Recorded AI claim A

Recorded AI claim B

monthly price per provider

high

$229-$429 per provider/month

$485-$729 per provider/month

monthly price per provider

high

$229-$429 per provider/month

$485-$729 per provider/month

target practice size

medium

best suited for small-to-mid-sized independent practices

best for mid-size to large practices; too complex/costly for small practices

Both columns quote AI answers, not verified company facts. Resolve the entity, date and source before deciding whether a correction is warranted; different dates can explain an apparent conflict.

The disputed topics are narrow and concrete: what the software costs per provider each month, and which practice sizes it suits. Both are the kind of detail a buyer checks early, so an unresolved conflict can shape first impressions before a sales conversation happens.

We would not decide which version is right. Instead, we would confirm the entity, the date and the primary source behind each figure, then prepare page briefs only for topics that survive that check. Where dates or plan tiers explain the difference, no correction is needed.

Step 3. Align the external narrative

Questions This Section Answers

  • Which cited third-party pages are relevant to fact review for AdvancedMD?

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

https://tebra.com/theintake/getting-paid/how-much-does-medical-billing-software-cost

8

6

2

https://helcim.com/guides/healthcare-billing-software-costs/

3

3

2

https://decode.agency/article/medical-billing-software-solutions/

2

2

2

https://healixrcm.com/how-much-does-medical-billing-cost

1

1

2

https://medicalbillingservicereview.com/breaking-down-medical-billing-software-costs-what-to-expect-in-2025/

1

1

2

https://puredi.com/blog/rcm-software-pricing-comparison

1

1

2

These pages were selected because they relate to the company in the captured answers. Their current contents still need checking before any correction request. A page linked to a conflicting claim is not necessarily its cause, and the same answer may contribute to more than one row.

Several third-party cost pages are cited alongside the disputed pricing claims, which makes them worth reading closely before any outreach. Being cited is not the same as shaping an answer, and a page linked to a conflict is not necessarily its source.

We would review each selected page against current content, note where AdvancedMD is described, and prepare evidence-backed requests only where a genuine inaccuracy is confirmed. Publishers decide their own edits, so requests should be framed as clarifications with sources attached.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed AdvancedMD website pages should receive review briefs?

Company website page

Citation appearances in all captured answers

Benchmark answers citing the page

Recommending answers citing the page

https://advancedmd.com/

23

9

6

https://advancedmd.com/emr-ehr-software/

15

9

6

https://advancedmd.com/medical-billing/software/

13

8

8

https://advancedmd.com/software-pricing/

9

3

1

https://advancedmd.com/company/

4

0

0

https://advancedmd.com/medical-billing/

4

3

3

https://advancedmd.com/revenue-cycle-management/

4

4

4

https://advancedmd.com/advancedmd-vs-tebra/

3

2

1

The company's website was cited 100 times across 25 distinct page addresses; the table shows 8 pages selected for review. Zeros in the answer columns mean no matching answers were recorded. A cited page is not automatically a page that accompanied a recommendation.

The homepage, the EHR page and the billing software page carry most of the company's citation weight, and the pricing page appears less often than its importance to buyers would suggest. That imbalance is worth a deliberate look rather than an assumption that the pages are thin.

We would draft briefs for the priority pages using approved facts, clear answers to the questions buyers actually ask, and plain descriptions of who the product fits. Each brief would be checked against the live page before any rewrite is proposed.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for AdvancedMD?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

What is the most popular medical billing software?

6

6

5

What are the best medical billing companies?

5

5

5

Which company is best for medical billing?

6

5

5

Which is the best practice management software?

6

5

5

What is the most used medical billing software?

5

5

4

What is the best medical billing program?

4

4

4

What practice management software is the best?

6

4

4

Which medical billing software is best?

5

4

4

These are recorded answer observations, not search volume, verified demand, or proof of missing website content.

The recorded questions cluster around popularity and best-company comparisons, and AdvancedMD is mentioned in nearly all of them. That is a strong position to defend, but it also means the surrounding content has to answer comparison questions honestly and specifically.

We would check existing coverage first, then brief content that addresses fit, pricing structure and practice size in the buyer's own terms. New pages would be proposed only where a real gap is confirmed, not simply because a question appeared in an answer.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed AdvancedMD work and judge completion?

Period

Deliverable

Completion criterion

Days 1–30

Baseline scorecard, scoped fact-review register and page/source shortlist

Each record has an owner, evidence requirement and review status

Days 31–60

Approved page briefs and justified publisher requests

Separate confirmed edits, no-change decisions, requests and responses

Days 61–90

Buyer-content briefs and a fresh scorecard

Record work completed separately from measured answer outcomes and comparability limits

The first month establishes the baseline: a scorecard, a scoped list of claims to verify, and a shortlist of pages and sources. Each item gets an owner, an evidence requirement and a review status so progress is visible.

The second month turns confirmed findings into page briefs and, where justified, publisher requests, with edits, no-change decisions and responses recorded separately. The third month adds buyer-question briefs and a fresh scorecard. Completed work is reported apart from any change in answer visibility, which depends on many factors outside our control.

Methodology

Questions This Section Answers

  • How are AdvancedMD answer metrics and citation populations defined?

This report covers 2026-11. The exact dates when the original AI answers were collected have not been verified. The visibility rates use 479 answers that met the benchmark's inclusion rules. A company is recommended only when the answer both endorses it and uses positive wording. Top 3 and first-place counts are part of those recommendations, not extra recommendations.

An answer can mention or recommend several companies, so company counts cannot be added to find the number of distinct answers. The net sentiment score is positive minus negative mentions, divided by all company mentions; it describes answer wording, not customer satisfaction.

The wider citation analysis covers 800 captured answers and 4994 appearances of cited URLs. Citation appearances across all captured answers differ from the number of benchmark answers citing a page and the number that also recommend a company. The current contents of cited pages and disputed company claims still need independent verification.

Monthly sample coverage:

Reporting month

Answers included

AI services covered

Services

Jul 2026

571

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Sep 2026

595

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Oct 2026

591

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Nov 2026

479

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Reliable results for August 2026 are unavailable. This is a gap in the history, not a result of zero.

The answer samples differ between months. These comparisons show how the recorded results changed; they do not establish why they changed.

The answer samples differ between months, and the collection dates for the original answers have not been verified, so month-to-month movements show what was recorded rather than why. A company counts as recommended only when an answer endorses it with positive wording, and placement counts sit inside recommendations rather than adding to them.

Answers can name several companies, so counts do not sum to distinct answers. Cited pages and disputed claims still need independent checking against current sources before any correction is considered.

Our first three priorities

First, verify the pricing and practice-size claims against primary sources before anything is published or requested. These are the details most likely to shape a buyer's early impression, and the benchmark already ranks them as the highest-priority conflicts.

Second, brief the pricing and billing pages so they answer cost and fit questions directly, using approved facts and the questions buyers actually ask. The homepage and EHR pages already carry citation weight; the pricing page deserves the same care.

Third, review the third-party cost pages that appear alongside the disputed claims, and prepare evidence-backed clarification requests only where a genuine error is confirmed. Throughout, keep completed work separate from any later movement in AI answers.

/ Learn More

Understanding AI search visibility.

AI search experiences create answers by pulling information from many places online and summarizing it into a single response.

What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
What Is Citation Architecture?
Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

Archived editions

Browse earlier published research snapshots for this article. The latest edition remains at the current URL.

VIEW ALL CASE STUDIESREQUEST AN AI VISIBILITY AUDIT