Aspen Dental Appears in 87.4% 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

  • Aspen Dental is mentioned in 87.36% of benchmark answers and recommended in 32.02%, showing strong reach but a wider gap between mention and endorsement.
  • The largest fact-check priorities involve payment timing, Medicaid acceptance, and pricing claims, which can affect whether patients trust the answer enough to act.
  • The emergency walk-in dentist page is the strongest owned asset, while several high-citation pages need clearer, verified answers around cost and access.
  • Observed buyer questions focus on affordable dentures, Saturday hours, walk-in care, and emergency extractions, making them useful topics for content briefs.

Answer Capsule

In November 2026, Aspen Dental appeared in 311 of 356 AI answers included in the Emergency Dentists benchmark (87.36%). It received 114 recommendations (32.02%), with 105 Top 3 placements and 53 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 Aspen Dental mentions, recommendations and placements compare with its Emergency Dentists peers?

Aspen Dental recorded 311 mentions (87.36%) and 114 recommendations (32.02%) across 356 answers included in the benchmark. Top 3 placements numbered 105; first-place recommendations numbered 53. Framing among its mentions was 122 positive, 188 neutral and 1 negative.

Rank

Company

Mentions

Mention rate

Recommendations

Recommendation rate

Top 3

Top 3 rate

#1

#1 rate

1

Aspen Dental

311

87.36%

114

32.02%

105

29.49%

53

14.89%

2

Emergency Dental Care USA

82

23.03%

61

17.13%

59

16.57%

28

7.87%

3

Western Dental

62

17.42%

38

10.67%

35

9.83%

4

1.12%

4

1-800-Dentist

26

7.30%

26

7.30%

26

7.30%

8

2.25%

5

Comfort Dental

23

6.46%

20

5.62%

16

4.49%

4

1.12%

5

Gentle Dental

39

10.96%

20

5.62%

12

3.37%

3

0.84%

7

Smile Generation

19

5.34%

16

4.49%

12

3.37%

1

0.28%

8

Sage Dental

3

0.84%

3

0.84%

2

0.56%

0

0.00%

9

Great Expressions Dental Centers

6

1.69%

2

0.56%

1

0.28%

0

0.00%

10

Dental365

2

0.56%

0

0.00%

0

0.00%

0

0.00%

Aspen Dental is the name AI answers reach for most often in this emergency dental set, and it is also the name they endorse most often. That combination of wide reach and frequent endorsement is the real asset here, not the raw mention count alone.

The gap between being mentioned and being recommended is where the commercial risk sits. Many answers bring the company into the conversation without endorsing it, so the practical question is what those answers say when they stop short of a recommendation.

Most mentions carry neutral wording, with positive framing well ahead of negative. Neutral is not the same as lukewarm endorsement, so the agency would read a sample of neutral answers to see whether they describe the company accurately or leave a buyer without a clear reason to choose it.

What changed since last month

Questions This Section Answers

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

Metric

Jul 2026

Aug 2026

Sep 2026

Oct 2026

Nov 2026

Mentions

221 / 261 (84.67%)

190 / 229 (82.97%)

168 / 216 (77.78%)

184 / 222 (82.88%)

311 / 356 (87.36%)

Recommendations

94 / 261 (36.02%)

78 / 229 (34.06%)

64 / 216 (29.63%)

91 / 222 (40.99%)

114 / 356 (32.02%)

Top 3 recommendations

74 / 261 (28.35%)

59 / 229 (25.76%)

39 / 216 (18.06%)

72 / 222 (32.43%)

105 / 356 (29.49%)

#1 recommendations

43 / 261 (16.48%)

33 / 229 (14.41%)

17 / 216 (7.87%)

36 / 222 (16.22%)

53 / 356 (14.89%)

From October 2026 to November 2026, Aspen Dental's mention count rose from 184 to 311, while its recommendation count rose from 91 to 114. The recommendation rate was 40.99% and 32.02% respectively.

November's recorded totals are higher than October's on mentions, recommendations and top placements, while the recommendation rate is lower than October's. These are separate monthly samples, so the movement describes what was recorded, not a trend the agency can attribute to any cause.

The comparability limit matters for how the client reads this. A different answer total does not explain why counts or rates moved, and the agency would not present the November figures as evidence that anything the company did worked.

The useful step is to treat November as the current baseline and watch the next samples for whether the mention-to-recommendation gap narrows or holds.

AI recommendation trend

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

0%15%30%45%60%Jul 2026Aug 2026Sep 2026Oct 2026Nov 202636.02%Jul 2026: 36.02%34.06%Aug 2026: 34.06%29.63%Sep 2026: 29.63%40.99%Oct 2026: 40.99%32.02%Nov 2026: 32.02%
  • Aspen Dental32.02%

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

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Step 1. Measure

Questions This Section Answers

  • What should the agency measure and verify first for Aspen Dental?

AI answers contained 89 conflicting claims about Aspen Dental: 9 critical, 46 high, 29 medium, 5 low. Of these, 55 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 conflicting claims recorded about Aspen Dental give the client a concrete starting list rather than a vague worry. A visibility comparison alongside a prioritized fact-check list lets the client see where reach is strong and where the answers describing the company disagree with each other.

The severity ratings order the work; they do not establish that the company or any publisher got something wrong. The agency would build a scorecard that pairs each disputed topic with an owner and an evidence requirement, so fact-checking starts from verified primary sources rather than from the AI claims themselves.

Step 2. Make the website consistent

Questions This Section Answers

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

Review topic

Severity

Recorded AI claim A

Recorded AI claim B

payment due at time of service

high

payment required at time of service

not necessarily required to pay up front

Medicaid acceptance

critical

Medicaid not accepted

Medicaid accepted at some locations

routine cleaning cost (self-pay)

medium

$90–$160

$75–$200

implant-supported denture cost per arch

medium

$7,628–$13,297 per arch (avg ~$8,289)

average $7,534 per arch

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 cluster around money and access: payment timing, Medicaid acceptance, cleaning cost and implant-supported denture cost. These are exactly the questions a nervous emergency patient asks, so conflicting answers can stall a decision even when the company is named.

The agency would not decide which AI claim is true. Instead it would verify each topic against current primary sources, confirm the entity and date, and only then draft a page brief describing what the page should say. Where the conflict turns out to be a difference in dates or locations, the brief records that rather than treating it as an error.

Step 3. Align the external narrative

Questions This Section Answers

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

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

https://aspendentalplan.com/

49

13

25

https://lafdentist.com/dental-benefits-payment

8

8

21

https://realdentalcosts.com/en/aspen-dental-cost/

43

3

10

https://budgetseniors.com/nearby/aspen-dental-price-list/

9

3

10

https://aspendental.buzz/faqs/appointments

5

3

9

https://dentalcleaningcost.com/aspen-dental-cleaning-cost

15

1

7

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.

The cited pages selected for review are a shortlist for checking, not a list of culprits. Several carry many conflicting claims, but a page linked to a conflict is not necessarily its cause, and the same answer can touch more than one page.

The agency would review each page's current contents first, then decide whether a correction request is justified. Requests would go out only with evidence behind them, and responses would be logged separately from confirmed edits and no-change decisions.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed Aspen Dental 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://aspendental.com/dental-services/emergency-walk-in-dentist/

67

66

61

https://aspendental.com/pricing-offers/dental-savings-plan/

62

23

1

https://aspendental.com/

40

19

3

https://aspendental.com/about/faq/

36

21

0

https://aspendental.com/dentures/dentures-cost/

35

12

0

https://aspendental.com/pricing-offers/dental-financing/

27

20

2

https://aspendental.com/dental-implants/full-mouth-dental-implants/full-mouth-dental-implants-cost/

26

12

0

https://aspendental.com/dental-insurance/

26

14

0

The company's website was cited 1095 times across 362 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 emergency walk-in page is the clearest owned asset in this evidence: it is cited widely and appears in answers that recommend the company. The savings plan, FAQ, dentures cost and financing pages are cited often but rarely alongside a recommendation, which makes them candidates for clearer, verified answers to buyer questions.

Page briefs would use approved facts and the questions buyers actually ask, and would check existing coverage before proposing anything new. A cited page is not automatically a page that earned a recommendation, so the briefs focus on usefulness rather than on chasing citations.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for Aspen Dental?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

Where is the most affordable place to get dentures?

3

3

2

Where can I get a wisdom tooth extraction in Wichita, KS?

2

2

2

dentist open on saturday

2

2

2

emergancy dentist

2

2

2

emergency tooth extraction near me

2

2

2

oral exams near me

2

2

2

walk in dentists near me

2

2

2

24 hour dental

1

1

1

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

The recorded questions are practical and local: where to find affordable dentures, a Saturday dentist, a walk-in or after-hours option, an extraction nearby. These are answer observations, not search volume, so they guide content topics rather than prove demand.

The agency would check whether the company already answers each question well, then draft briefs for the gaps. The emphasis would be on plain, verified answers to the cost and access questions that also appear in the disputed claims, so buyer content and fact-checking reinforce each other.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed Aspen Dental 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 scorecard, a scoped fact-review register and the page and source shortlist, each with an owner and an evidence requirement. The second month turns verified findings into approved page briefs and justified publisher requests, with confirmed edits, no-change decisions, requests and responses kept separate.

The third month produces buyer-content briefs and a fresh scorecard. Completed work is recorded separately from measured answer outcomes, and the agency would not present delivered briefs or requests as proof of improved visibility.

Methodology

Questions This Section Answers

  • How are Aspen Dental 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 356 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 5225 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

261

6

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

Aug 2026

229

6

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

Sep 2026

216

6

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

Oct 2026

222

6

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

Nov 2026

356

6

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

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

The monthly samples differ, so comparisons show how recorded results changed, not why. Recommendation requires both an endorsement and positive wording, and top placements sit inside recommendations rather than adding to them. Answers can name several companies, so counts cannot be summed into distinct answers.

Cited pages and disputed claims still need independent verification, and the exact collection dates for the original answers are unconfirmed.

Our first three priorities

First, verify the payment-timing and Medicaid claims against current primary sources, since those two topics most directly affect whether a patient trusts the answer enough to call. Second, brief the emergency walk-in page and the cost and financing pages around verified answers to the recorded buyer questions.

Third, review the shortlisted external pages before any correction request, keeping requests evidence-backed and responses logged. Each step produces a record the client can act on; none of them is a promise that AI answers will change.

/ 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.

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