The Baldwin Group Innovation Practice (formerly Founder Shield) Appears in 0.0% 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

  • The firm recorded 0 mentions and 0 recommendations across 225 AI answers in the November 2026 benchmark.
  • October 2026 showed some visibility, but the November sample dropped to zero; the article treats this as a recorded change, not a proven trend.
  • No conflicting claims, cited pages, or buyer questions were identified in the reviewed answers, so the work starts with baseline measurement and verification.
  • The 90-day plan focuses on a scorecard, fact review, page briefs, publisher requests, and buyer-question content, with each step tracked separately.

Answer Capsule

In November 2026, The Baldwin Group Innovation Practice (formerly Founder Shield) appeared in 0 of 225 AI answers included in the Professional & Management Liability Insurance benchmark (0.00%). 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 The Baldwin Group Innovation Practice (formerly Founder Shield) mentions, recommendations and placements compare with its Professional & Management Liability Insurance peers?

The Baldwin Group Innovation Practice (formerly Founder Shield) recorded 0 mentions (0.00%) and 0 recommendations (0.00%) across 225 answers included in the benchmark. Top 3 placements numbered 0; first-place recommendations numbered 0. Framing among its mentions was 0 positive, 0 neutral and 0 negative.

Rank

Company

Mentions

Mention rate

Recommendations

Recommendation rate

Top 3

Top 3 rate

#1

#1 rate

1

Gallagher

175

77.78%

45

20.00%

25

11.11%

3

1.33%

2

Aon

207

92.00%

43

19.11%

23

10.22%

2

0.89%

3

Marsh

216

96.00%

42

18.67%

25

11.11%

23

10.22%

4

Brown & Brown

79

35.11%

17

7.56%

1

0.44%

0

0.00%

5

Lockton

76

33.78%

11

4.89%

2

0.89%

1

0.44%

6

Embroker

1

0.44%

1

0.44%

1

0.44%

1

0.44%

7

Axis Insurance Services

0

0.00%

0

0.00%

0

0.00%

0

0.00%

7

Professional Liability Insurance Group

0

0.00%

0

0.00%

0

0.00%

0

0.00%

7

TechInsurance

3

1.33%

0

0.00%

0

0.00%

0

0.00%

7

The Baldwin Group Innovation Practice (formerly Founder Shield)

0

0.00%

0

0.00%

0

0.00%

0

0.00%

The Baldwin Group Innovation Practice (formerly Founder Shield) did not appear in any of the answers reviewed for this benchmark. That is an absence of recorded visibility, not a judgment about the firm's reputation or its actual standing with brokers and buyers.

For a specialist practice competing against large brokers, the practical question is whether AI answers reach the firm at all when buyers ask about management liability coverage. Before setting any target, the agency would establish a baseline scorecard so future movement can be read against a fixed starting point.

A zero also means there is no framing to assess. Positive, neutral and negative wording cannot be summarized when no answer discusses the company, so the first task is presence, not tone.

What changed since last month

Questions This Section Answers

  • How did The Baldwin Group Innovation Practice (formerly Founder Shield) counts and coverage differ across the available monthly snapshots?

Metric

Oct 2026

Nov 2026

Mentions

13 / 128 (10.16%)

0 / 225 (0.00%)

Recommendations

5 / 128 (3.91%)

0 / 225 (0.00%)

Top 3 recommendations

2 / 128 (1.56%)

0 / 225 (0.00%)

#1 recommendations

2 / 128 (1.56%)

0 / 225 (0.00%)

From October 2026 to November 2026, The Baldwin Group Innovation Practice (formerly Founder Shield)'s mention count fell from 13 to 0, while its recommendation count fell from 5 to 0. The recommendation rate was 3.91% and 0.00% respectively.

The October sample recorded a small number of mentions and recommendations; the November sample recorded none. Both are selected samples, and the answers included differ between the two months, so the movement should be read as an observed change in the record rather than a trend.

A drop to zero is worth treating seriously precisely because it is stark. It may reflect which questions were asked and which services were covered, but the evidence here cannot establish that, and the agency would not present a cause it cannot verify.

A sensible next step is to re-check the same question set against the current services before drawing conclusions from either month.

AI recommendation trend

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

  • The Baldwin Group Innovation Practice (formerly Founder Shield)-3.91 pp
    Oct 20263.91%
    Nov 20260.00%

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 The Baldwin Group Innovation Practice (formerly Founder Shield)?

AI answers contained 0 conflicting claims about The Baldwin Group Innovation Practice (formerly Founder Shield): 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 the company were recorded in the reviewed answers, so there is nothing yet to fact-check. That is a clean starting position, but it also means the firm has little presence for AI systems to describe accurately.

A visibility comparison against the brokers that do appear would show where the firm is absent and which question types matter most. Alongside it, a short list of claims to verify would separate statements the firm can confirm from ones it cannot.

Together these give the client a defensible basis for choosing priorities rather than reacting to a single month's result.

Step 2. Make the website consistent

Questions This Section Answers

  • Which recorded claim differences about The Baldwin Group Innovation Practice (formerly Founder Shield) 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 resolve and no page briefs to justify yet. The agency would not draft corrections against an empty record.

If claims surface later, the first step is to confirm the entity, the date and the source behind each one. Apparent conflicts often dissolve once those details are checked, and a correction should only follow primary-source verification.

Conditional page briefs can then be prepared for any topic the client confirms is both relevant and inaccurately described.

Step 3. Align the external narrative

Questions This Section Answers

  • Which cited third-party pages are relevant to fact review for The Baldwin Group Innovation Practice (formerly Founder Shield)?

No results are available for this part of the analysis.

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.

No source pages were selected for review in this analysis, so there is no publisher list to work from. The agency would begin by identifying which external pages actually shape answers about management liability coverage for startup and growth-stage clients.

Any request to a publisher would rest on verified evidence and would be framed as a request, not an assumption of error. A citation in an answer does not show that the page influenced the answer, and the same answer can draw on several sources.

Work would be logged by status so confirmed edits, no-change decisions and outstanding requests stay distinct.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed The Baldwin Group Innovation Practice (formerly Founder Shield) website pages should receive review briefs?

No results are available for this part of the analysis.

The company's website was cited 0 times across 0 distinct page addresses; the table shows 0 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 company's website was not cited in the reviewed answers, and no pages were selected for review. That limits what can be said about current page performance, and the agency would not infer page contents from an address alone.

Page briefs would be built from approved company facts and the questions buyers actually ask, applied to the pages the client identifies as priorities. Each brief would name the audience, the question it answers and the evidence behind every claim.

Existing coverage would be checked before proposing anything new, so effort goes to pages that need work rather than pages that already perform.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for The Baldwin Group Innovation Practice (formerly Founder Shield)?

No results are available for this part of the analysis.

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

No buyer questions were recorded for this analysis, so content briefs cannot yet be tied to observed queries. The agency would start from the questions the firm's own sales conversations show buyers asking about management liability cover.

Those questions would be turned into briefs that answer plainly, state what the policy does and does not cover, and avoid claims the firm cannot support. Recorded answer observations are not search volume, and they do not prove demand or a gap on the website.

Each brief would be checked against existing pages before any new page is proposed.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed The Baldwin Group Innovation Practice (formerly Founder Shield) 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 produces a baseline scorecard, a scoped fact-review register and a shortlist of pages and sources, each with an owner and a review status. Nothing is corrected in that period; the aim is a clean record.

The second month turns confirmed findings into approved page briefs and justified publisher requests, with confirmed edits, no-change decisions, requests and responses logged separately. The third month adds buyer-content briefs and a fresh scorecard.

Delivered work will be reported separately from measured answer outcomes. Completing a brief or sending a request does not establish that visibility changed, and the report will keep those two things apart.

Methodology

Questions This Section Answers

  • How are The Baldwin Group Innovation Practice (formerly Founder Shield) 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 225 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 700 captured answers and 3782 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

128

8

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

Nov 2026

225

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 behind this report were collected for a single reporting month, and the exact collection dates have not been verified. A company counts as recommended only when an answer endorses it with positive wording; shortlist and first-place placements sit inside those recommendations rather than adding to them.

Answers can name several companies, so company counts do not sum to a number of distinct answers. The two monthly samples also differ in size and in which AI services were covered, so comparisons describe recorded movement only and cannot explain it.

Our first three priorities

The first priority is a baseline scorecard that fixes the question set and the services before any target is set, so later months can be compared on a consistent basis. The second is a fact-review register built from primary sources, with each claim assigned an owner and a status.

The third is a set of buyer-question briefs for the pages the client identifies as most important, checked against existing coverage first. Publisher outreach would follow only where verified evidence supports a request.

These steps build a reliable record. They do not guarantee that AI answers will begin mentioning the firm, and the agency would report completed work separately from any change in visibility.

/ 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.

VIEW ALL CASE STUDIESREQUEST AN AI VISIBILITY AUDIT