Sammamish Mortgage Appears in 0.1% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Mark HuntleyBy Mark HuntleyFounder and CEO
9 minutes read

Key Takeaways

  • Sammamish Mortgage had one mention in 709 benchmark answers and no recommendations, top-three placements, or first-place results.
  • The monthly comparison shows a small increase in mentions from October to November 2026, but recommendation rates stayed at zero.
  • No conflicting claims were recorded in the captured answers, so the first priority is to build a baseline and verify any future claims against primary sources.
  • The plan focuses on reviewing cited third-party pages, tightening the company’s own rate-updates page, and creating content around rate-comparison buyer questions.

Answer Capsule

In November 2026, Sammamish Mortgage appeared in 1 of 709 AI answers included in the Residential Mortgage Brokerage benchmark (0.14%). It received 0 recommendations (0.00%), with 0 Top 3 placements and 0 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 Sammamish Mortgage mentions, recommendations and placements compare with its Residential Mortgage Brokerage peers?

Sammamish Mortgage recorded 1 mentions (0.14%) and 0 recommendations (0.00%) across 709 answers included in the benchmark. Top 3 placements numbered 0; first-place recommendations numbered 0. Framing among its mentions was 0 positive, 1 neutral and 0 negative.

Rank

Company

Mentions

Mention rate

Recommendations

Recommendation rate

Top 3

Top 3 rate

#1

#1 rate

1

Rocket Mortgage

616

86.88%

366

51.62%

298

42.03%

186

26.23%

2

Bank of America

549

77.43%

292

41.18%

185

26.09%

61

8.60%

3

Navy Federal Credit Union

497

70.10%

290

40.90%

176

24.82%

49

6.91%

4

Better Mortgage

220

31.03%

130

18.34%

82

11.57%

20

2.82%

5

CrossCountry Mortgage

261

36.81%

112

15.80%

69

9.73%

11

1.55%

6

United Wholesale Mortgage (UWM)

238

33.57%

92

12.98%

61

8.60%

29

4.09%

7

Cohen Financial Group

4

0.56%

2

0.28%

2

0.28%

1

0.14%

7

Loan Factory

6

0.85%

2

0.28%

2

0.28%

0

0.00%

9

C2 Financial Corporation

4

0.56%

1

0.14%

1

0.14%

1

0.14%

10

Avenir Mortgage Planners

0

0.00%

0

0.00%

0

0.00%

0

0.00%

10

Bridgepoint Funding

0

0.00%

0

0.00%

0

0.00%

0

0.00%

10

California Mortgage Advisors

0

0.00%

0

0.00%

0

0.00%

0

0.00%

10

Insignia Mortgage

0

0.00%

0

0.00%

0

0.00%

0

0.00%

10

Integrus Mortgage

0

0.00%

0

0.00%

0

0.00%

0

0.00%

10

JVM Lending

0

0.00%

0

0.00%

0

0.00%

0

0.00%

10

Mares Mortgage

0

0.00%

0

0.00%

0

0.00%

0

0.00%

10

Resource Home Loan

0

0.00%

0

0.00%

0

0.00%

0

0.00%

10

Sammamish Mortgage

1

0.14%

0

0.00%

0

0.00%

0

0.00%

10

The Loan Story

0

0.00%

0

0.00%

0

0.00%

0

0.00%

Sammamish Mortgage appeared in the benchmark answers but was never endorsed, so the immediate task is to understand the gap between being seen and being chosen. A single neutral mention gives no basis for a performance target; the useful first step is to learn what the answers said and which lenders they endorsed instead.

Large national lenders dominate the recommendation counts, which suggests the answers favor widely recognized names for this kind of question. That is a competitive context, not a verdict on Sammamish Mortgage. Proposed work: a baseline scorecard that records where the company appears, how it is described and which competitors are endorsed, so future movement can be judged against a clear starting point.

What changed since last month

Questions This Section Answers

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

Metric

Oct 2026

Nov 2026

Mentions

0 / 120 (0.00%)

1 / 709 (0.14%)

Recommendations

0 / 120 (0.00%)

0 / 709 (0.00%)

Top 3 recommendations

0 / 120 (0.00%)

0 / 709 (0.00%)

#1 recommendations

0 / 120 (0.00%)

0 / 709 (0.00%)

From October 2026 to November 2026, Sammamish Mortgage's mention count rose from 0 to 1, while its recommendation count stayed at 0. The recommendation rate was 0.00% and 0.00% respectively.

The recorded mention count moved from none to one between the two reporting months, while recommendations stayed at zero in both. The samples also differ in size and in which AI services were covered, so the two months are separate observations rather than a like-for-like trend.

What matters for the client is that the company has not yet crossed from being named to being endorsed. Proposed work: keep the monthly scorecard consistent in structure, note the sample differences beside each comparison, and avoid reading a single mention as momentum until the pattern holds across comparable samples.

AI recommendation trend

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

  • Sammamish Mortgageno change
    Oct 20260.00%
    Nov 20260.00%

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 Sammamish Mortgage?

AI answers contained 0 conflicting claims about Sammamish Mortgage: 0 critical, 0 high, 0 medium, 0 low. Of these, 0 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.

No conflicting claims about Sammamish Mortgage were recorded in the captured answers, so there is nothing yet to correct. That is a clean starting position, but it also means the answers have little to say about the company, which limits what a fact-check can reveal on its own.

A visibility comparison against the endorsed lenders would show where the company is absent and which questions it is absent from. Proposed work: build a scoped fact-review register alongside that comparison, listing any company claims the answers make, with an owner and an evidence requirement for each, so verification effort goes where it is actually needed.

Step 2. Make the website consistent

Questions This Section Answers

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

No results are available for this part of the analysis.

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.

This part of the analysis returned no results, so there are no disputed topics to work through and no page briefs can be justified from the evidence at hand. The absence is itself informative: it means the answers are not yet describing the company in enough detail to create conflicts.

Proposed work: hold consistency checks until claims appear, then verify each against current primary sources before drafting anything. Any page brief would be conditional on that verification, and an ambiguous company match would stay out of the correction queue rather than being resolved by assumption.

Step 3. Align the external narrative

Questions This Section Answers

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

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

https://bankrate.com/mortgages/mortgage-rates/

22

1

0

https://themortgagereports.com/65972/the-best-mortgage-rates-lender-rankings

15

1

0

https://finance.yahoo.com/personal-finance/mortgages/article/weekly-survey-mortgage-lenders-with-the-best-lowest-rates-august-10-170834159.html

2

1

0

https://bankatfidelity.com/borrow/government-backed-mortgages/

1

1

0

https://hsh.com/best-of/best-mortgage-lenders-for-high-credit-scores/

1

1

0

https://reddit.com/r/Mortgages/comments/1ihrtnm/best_lendersbanks_for_low_mortgage_interest_rates/

1

1

0

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 linked to the company are mostly broad lender-ranking and rate-comparison articles, plus a community discussion. Each was cited in answers that mentioned Sammamish Mortgage, but a citation does not show that the page influenced the answer, and none carried a conflicting claim.

Proposed work: review the current contents of these pages before any outreach, confirm whether the company is described accurately, and prepare evidence-backed requests only where a specific, verifiable issue exists. Publisher control and publisher error should not be assumed; a request may reasonably be declined or go unanswered.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed Sammamish Mortgage 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://sammamishmortgage.com/mortgage-rate-updates/

1

1

0

The company's website was cited 1 times across 1 distinct page addresses; the table shows 1 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.

Only one company page was cited, a rate-updates page, and it appeared in a benchmark answer that did not recommend the company. That tells us the page is being read by the systems but is not yet accompanying an endorsement.

Proposed work: prepare a page brief for this page using approved company facts and the buyer questions observed in the research, checking existing coverage before proposing anything new. The brief should describe what the page needs to answer clearly, not assert what the page currently says, since its contents still need checking.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for Sammamish Mortgage?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

Which lender has the lowest mortgage rates?

1

1

0

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

The research recorded one buyer-style question about which lender has the lowest mortgage rates, and the company was mentioned in that answer without being recommended. This is a recorded answer observation, not search volume or proof that the website lacks coverage.

Proposed work: draft a buyer-question content brief around rate comparison, grounded in approved facts and written to help a borrower judge lenders on more than a headline rate. Check whether existing pages already address the question before proposing a new one, and treat the single observation as a starting point rather than a demand signal.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed Sammamish Mortgage 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 fact-review register and a shortlist of pages and sources, each with an owner, an evidence requirement and a review status. Nothing is corrected at this stage; the aim is a clean, verifiable record.

The second month turns verified findings into approved page briefs and justified publisher requests, with confirmed edits, no-change decisions, requests and responses recorded separately. The third month adds buyer-content briefs and a fresh scorecard. Completed work will be reported separately from measured answer outcomes, since visibility movement depends on many factors outside the agency's control.

Methodology

Questions This Section Answers

  • How are Sammamish Mortgage 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 709 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 4745 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

Oct 2026

120

8

ChatGPT, claude, deepseek, Gemini, Google AI Mode, Google AI Overviews, grok, Perplexity

Nov 2026

709

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 answers were captured for the reporting month, but the exact collection dates are unverified, and the two monthly samples differ in size and in the AI services covered. Comparisons show how recorded results changed, not why.

A recommendation requires both an endorsement and positive wording; mentions, placements and framing are separate measures and should not be combined. Cited pages and any disputed company claims still need independent verification before action.

Our first three priorities

First, establish the baseline scorecard and fact-review register so the company's near-absence from answers is documented precisely and any future claims can be checked against primary sources. Second, review the cited rate-comparison and ranking pages for accuracy before considering any publisher request, keeping ambiguous matches out of the queue.

Third, prepare a page brief for the cited rate-updates page and a buyer-question brief on rate comparison, both grounded in approved facts and checked against existing coverage. These are proposed work items; they do not guarantee recommendations, and progress will be judged against the recorded baseline rather than assumed.

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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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