Figure AI Visibility Market Strategy Report - Home Equity Loans

Mark HuntleyBy Mark HuntleyFounder and CEO
13 minutes read

Key Takeaways

  • Figure has the second-highest valid recommendation coverage in Home Equity Loans at 58.24%, with strong conversion from mentions to recommendations.
  • Its main weakness is lead placement: Figure appears first in only 3.85% of qualified observations despite a 35.71% top-three rate.
  • Google AI Overviews is Figure’s strongest platform for recommendation coverage, while Gemini shows the largest gap between coverage and rank-one placement.
  • High-severity conflicts across AI platforms on APR, maximum loan amount, and minimum credit score may be weakening Figure’s ability to become the first recommendation.

Answer Capsule

Figure holds the second-highest valid recommendation coverage in the October 2026 Home Equity Loans benchmark at 58.24%, behind Navy Federal Credit Union at 72.80%. The company converts presence into recommendations at a strong rate, with a 61.54% raw mention presence rate and a 58.24% valid recommendation coverage rate, a narrow gap that signals efficient conversion. Its clearest weakness is rank-one placement: Figure appears first in only 3.85% of qualified observations despite a 35.71% top-three rate, meaning it is shortlisted often but rarely chosen first. The clearest opportunity is closing that first-position gap, particularly on Google AI Overviews and Gemini, where Figure already has strong presence but weak lead-position conversion.

Who This Report Is For

This report is for Figure's marketing, growth, and competitive strategy teams, and for home equity lending executives who need to understand where AI systems place Figure in the buyer shortlist and why.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

Figure

Category / market studied

Home Equity Loans

Reporting month

October 2026

AI platforms tracked

6 (ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, Google AI Mode)

Public high-intent clusters

1 qualified (Best HELOC and Home Equity Loan Providers)

AI observations analyzed

364 qualified observations from 800 prompt-surface observations

Competitors tracked

9

Executive Summary

Figure holds the second-strongest recommendation position in the Home Equity Loans category for October 2026, with 58.24% valid recommendation coverage across 364 qualified observations. The benchmark shows Figure converting its visibility efficiently: 61.54% raw mention presence against 58.24% valid recommendation coverage, a gap of only 3.3 percentage points. That narrow spread indicates that when AI systems surface Figure, they usually recommend it rather than merely referencing it.

The company recorded 212 valid recommendations and 224 total mentions in October 2026, with 212 positive mentions, 12 neutral mentions, and zero negative mentions. Its net sentiment score of 0.9464 reflects a framing environment that is almost entirely positive or neutral, with no cautionary or negative framing detected across the qualified observation set.

Figure's strongest platform signal is Google AI Overviews, where it holds 58.59% valid recommendation coverage and 39.39% top-three placement across 99 observations. Its strongest cluster is the sole qualified cluster, Best HELOC and Home Equity Loan Providers, where it ranks second by coverage behind Navy Federal Credit Union.

The clearest weakness is rank-one placement. Figure appears as the first recommendation in only 3.85% of qualified observations, compared with Bank of America Corp. at 21.43% and Aven at 12.36%. Despite holding the second-highest coverage rate in the category, Figure is rarely the lead recommendation when AI systems form a shortlist.

The clearest platform gap is Gemini, where Figure holds 75.4% valid recommendation coverage but only 1.5% rank-one placement. The company is visible and recommended on Gemini but almost never placed first, suggesting that AI systems on that platform treat Figure as a strong shortlist candidate rather than a lead option.

A secondary risk surfaced in the inconsistency data: three high-severity factual conflicts involving Figure's HELOC APR, maximum loan amount, and minimum credit score were detected across five AI platforms. These conflicts mean buyers asking rate, eligibility, or loan-limit questions may receive contradictory information depending on which platform they use.

What Figure Is Winning

Questions This Section Answers

  • How efficiently does Figure convert AI mentions into valid recommendations compared with the top three brands?
  • Where does Figure's shortlist presence and sentiment profile rank against competitors?
  • Which platform produces Figure's strongest shortlist presence?

Figure's strongest win is its conversion efficiency. The benchmark shows a 61.54% raw mention presence rate against 58.24% valid recommendation coverage, meaning 94.6% of the time Figure appears in an AI response, it receives valid recommendation credit. This is the tightest presence-to-recommendation conversion among the top three brands by coverage.

The company's second win is its top-three placement rate. Figure appears in the top three recommendations in 35.71% of qualified observations, second only to Bank of America Corp. at 44.23%. This places Figure firmly in the buyer shortlist across more than one in three high-intent prompts.

Figure's third win is its sentiment profile. With 212 positive mentions, 12 neutral mentions, and zero negative mentions, the company has no detected negative framing across the qualified observation set. Its net sentiment score of 0.9464 is among the highest in the category.

On Google AI Overviews specifically, Figure recorded 58 valid recommendations across 99 observations, a 58.59% coverage rate, and 39.39% top-three placement. This is the platform where Figure's shortlist presence is strongest.

Where Figure Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why is Figure shortlisted often but rarely recommended first?
  • Which platforms show the widest gap between Figure's coverage and rank-one placement?
  • Which buyer-intent clusters lack qualified observations for Figure?

Figure's most significant gap is rank-one placement. The company holds the second-highest coverage rate in the category at 58.24% but appears as the first recommendation in only 3.85% of qualified observations. Bank of America Corp., which holds the third-highest coverage rate at 55.5%, appears first in 21.43% of observations. Aven, with 40.7% coverage, appears first in 12.36%. Figure is being shortlisted at a high rate but is rarely the lead recommendation.

This pattern is most pronounced on Gemini, where Figure holds 75.4% valid recommendation coverage but only 1.5% rank-one placement. On ChatGPT, Figure holds 37.5% coverage but only 2.5% rank-one placement. On Perplexity, coverage is 56.1% with 2.4% rank-one placement. Across every platform except Google AI Overviews, Figure's rank-one rate is below 7%.

The gap between Figure's top-three rate (35.71%) and its rank-one rate (3.85%) is 31.86 percentage points. For Bank of America Corp., the same gap is 22.80 percentage points. For Aven, it is 11.27 percentage points. Figure is being added to shortlists without being elevated to the lead position at a rate that exceeds its top competitors.

A second gap is the absence of qualified observations in the Pricing & Value and Multi-Brand Comparison clusters. All 364 qualified observations in October 2026 fell into the Brand Recommendation cluster. Figure cannot be assessed on how AI systems position it on rate, fee, or head-to-head comparison questions because the benchmark does not yet contain qualified observations in those clusters. However, the inconsistency data shows that pricing and eligibility questions are being asked and are producing conflicting answers.

Biggest Opportunity

Questions This Section Answers

  • Which platforms offer Figure the clearest path from shortlist presence to lead-position recommendations?
  • How do pricing and eligibility conflicts affect Figure's ability to become the first recommendation?

Figure's biggest opportunity is converting its strong shortlist presence into lead-position recommendations on high-intent prompts. The company already appears in the top three in 35.71% of qualified observations but appears first in only 3.85%. Closing even a portion of that 31.86-point gap would move Figure from a shortlist candidate to the default first recommendation on prompts such as "best HELOC lenders" and "Which Bank is best for HELOC?"

This opportunity is concentrated on Gemini and ChatGPT, where Figure's coverage is strong but rank-one placement is minimal. On Gemini, Figure holds 75.4% coverage but only 1.5% rank-one placement. On ChatGPT, coverage is 37.5% with 2.5% rank-one placement. These platforms represent the clearest path from shortlist presence to lead recommendation.

The opportunity is also tied to the pricing and eligibility inconsistency risk. When AI systems provide conflicting information about Figure's HELOC APR, maximum loan amount, and minimum credit score, buyers asking rate or eligibility questions may not receive a clear, consistent reason to choose Figure first. Resolving those conflicts in the public evidence layer could support stronger lead-position framing on the prompts where Figure is already visible.

Competitive Landscape

Questions This Section Answers

  • Where does Figure rank in recommendation coverage versus rank-one placement against its competitors?
  • Which competitors lead Figure on top-three rate and rank-one rate?

Navy Federal Credit Union leads the category in recommendation-stage strength with 72.80% valid recommendation coverage, followed by Figure at 58.24% and Bank of America Corp. at 55.50%. Figure holds the second-strongest coverage position but ranks fifth in rank-one placement, behind Bank of America Corp., Aven, PNC Bank, and Rocket Mortgage.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Bank of America Corp.

44.23%

21.43%

2.299

0.8632

Figure

35.71%

3.85%

3.0995

0.9464

Navy Federal Credit Union

28.02%

3.57%

3.952

0.9271

Aven

23.63%

12.36%

2.9353

0.9675

Rocket Mortgage

22.53%

7.69%

2.5094

0.7941

PNC Bank

20.60%

8.79%

3.3617

0.8306

U.S. Bancorp

11.81%

3.85%

3.5125

0.8148

TD Bank

4.12%

0.55%

4.34

0.8254

Spring EQ

3.30%

0.27%

3.9333

0.8718

Discover Home Loans

1.65%

0.00%

3

0.75

Average recommended rank covers rank-eligible recommendations only.

Figure's position in the table shows a company with strong shortlist presence but limited lead-position strength. Its 35.71% top-three rate is the second-highest in the category, but its 3.85% rank-one rate places it fifth. The gap between Figure's top-three rate and rank-one rate is the widest among the top five brands by coverage.

AI Response Inconsistency Alerts

Questions This Section Answers

  • Which Figure loan attributes are producing conflicting information across AI platforms?
  • Which sources are flagged as contributing to Figure's APR, loan amount, and credit score conflicts?
  • Why do these inconsistencies weaken Figure's conversion from shortlist to lead recommendation?

Three high-severity factual inconsistencies were detected for Figure across five AI platforms: Copilot, Gemini, Google AI Mode, and Google AI Overviews. These conflicts involve pricing, loan amount maximums, and credit score eligibility, and each was assigned high confidence by the detection model.

The first conflict involves Figure's HELOC APR. When asked "What is a good HELOC rate today?", Google AI Overviews stated that Figure offers fixed APRs starting around 6.05% to 6.40%, citing Bankrate, The Mortgage Reports, and a Reddit thread. Copilot stated that Figure's rate is 7.49% APR, citing HELOCalculator.com, a rate benchmark page, and LendingTree. The flagged source was HELOCalculator.com, which stated "The best available rate is 7.49% from Figure Home." These two rate ranges do not overlap, meaning a buyer asking about HELOC rates could receive materially different information depending on which platform they use.

The second conflict involves Figure's maximum loan amount. When asked "Which Bank is best for a HELOC?", Gemini stated that Figure offers credit lines up to $750,000, citing The Mortgage Reports. Copilot stated that Figure's loan amounts range from $50,000 to $500,000, citing Bankrate, Benzinga, and Precision Calculator. The flagged source was Bankrate's low- and no-fee home equity lender page, which listed multiple lenders and their loan ranges. A $750,000 maximum and a $500,000 cap are incompatible for the same lender.

The third conflict involves Figure's minimum credit score requirement. When asked "best heloc lenders", Google AI Mode stated that Figure has an estimated minimum credit score of 600. Google AI Overviews stated that Figure's minimum credit score is around 640, citing Bankrate, The Mortgage Reports, and CNBC. The flagged source showed both 620 and 600 minimum credit scores listed on the same page. A 600 minimum and a 640 minimum are incompatible eligibility thresholds, and a buyer checking whether they qualify could receive different answers depending on the platform.

These conflicts matter because they affect the prompts where buyers are closest to a decision. Rate, loan amount, and credit score are the three questions a buyer asks when comparing home equity lenders. When AI systems provide contradictory answers, Figure's ability to convert shortlist presence into a lead recommendation is weakened by inconsistent framing on the attributes that drive choice.

Prompt Evidence

Google AI Overviews / Best HELOC and Home Equity Loan Providers Prompt: "best heloc lenders" Result: Figure received a valid recommendation and appeared in the top three, contributing to its 58.59% coverage rate on this platform, but did not appear as the first recommendation.

Gemini / Best HELOC and Home Equity Loan Providers Prompt: "Which Bank is best for a HELOC?" Result: Figure was recommended with 75.4% coverage on Gemini, but Gemini stated Figure offers credit lines up to $750,000 while Copilot stated $50,000 to $500,000, creating a factual conflict on loan limits.

Copilot / Best HELOC and Home Equity Loan Providers Prompt: "What is a good HELOC rate today?" Result: Copilot stated Figure's HELOC rate is 7.49% APR, while Google AI Overviews stated 6.05% to 6.40%, a pricing conflict on a high-intent rate question.

ChatGPT / Best HELOC and Home Equity Loan Providers Prompt: "Who is the best lender for mortgages?" Result: Figure received a valid recommendation with 37.5% coverage on ChatGPT but appeared first in only 2.5% of observations, reflecting the shortlist-versus-lead-position gap.

What CiteWorks Studio Would Do Next

Questions This Section Answers

  • Which prompts and platforms should Figure prioritize to close its rank-one gap?
  • How should Figure resolve the rate, loan amount, and credit score conflicts in its owned and third-party content?

Phase 1: AI Visibility Market Discovery Audit Map Figure's prompt-level visibility across all six platforms, identifying which specific prompts drive top-three placement and which drive rank-one placement, and isolate where the gap is widest.

Phase 2: Recommendation Readiness Plan Prioritize the prompts and platforms where Figure has strong coverage but weak lead-position conversion, starting with Gemini and ChatGPT, and define the framing changes needed to move from shortlist to first recommendation.

Phase 3: Owned Answer Layer Buildout Build and optimize Figure-owned pages that directly answer the rate, loan amount, and credit score questions where AI systems currently provide conflicting information, giving platforms a clear, consistent source to retrieve.

Phase 4: Citation / Authority Layer Development Strengthen Figure's presence in the review and comparison sources that AI systems cite most often, including Bankrate, NerdWallet, and The Mortgage Reports, and correct outdated or conflicting data on third-party pages that contribute to the APR, loan limit, and credit score inconsistencies.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Figure's coverage, top-three rate, rank-one rate, and sentiment month over month across all six platforms, with specific monitoring of whether the rank-one gap narrows and whether the pricing and eligibility conflicts resolve.

Why This Matters

Figure is winning the shortlist battle but losing the lead-position battle. The benchmark shows a company that AI systems consistently recommend but rarely choose first. In a category where buyers ask "who is the best" and act on the first name they see, being second or third on the list is not the same as being the recommendation.

The next move is not about increasing visibility. Figure is already visible at 61.54% presence and recommended at 58.24% coverage. The next move is about correcting the prompt, page, and citation layers that determine whether Figure is framed as the lead option or a supporting option, and resolving the pricing and eligibility conflicts that give buyers a reason to hesitate.

Core Metrics

Metric

Value

Mentions

224

Valid recommendations

212

Top 3 recommendation count

130

Rank #1 recommendation count

14

Average recommended rank

3.0995

Positive mentions

212

Neutral mentions

12

Negative mentions

0

Raw mention presence rate

61.54%

Valid recommendation coverage

58.24%

Top 3 recommendation rate

35.71%

Rank #1 recommendation rate

3.85%

Net sentiment score

0.9464

Strongest cluster by recommendation behavior

Best HELOC and Home Equity Loan Providers (C01)

Strongest platform by recommendation behavior

Google AI Overviews (58.59% coverage, 39.39% top-three rate)

Sentiment Score

Sentiment Score = (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) / total mentions

For Figure in October 2026: (212 × 1 + 12 × 0 + 0 × -1) / 224 = 212 / 224 = 0.9464.

This score matters because unclassified mention counts are misleading. A raw mention count of 224 tells you Figure appeared in AI responses, but it does not tell you whether those appearances were recommendations, neutral references, or cautionary mentions. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal in commercial value.

Figure's sentiment profile is strong: 94.6% of its mentions are positive, 5.4% are neutral, and none are negative. This means AI systems are not framing Figure with caution or criticism. However, sentiment alone does not capture placement. A positive mention in the third position is not the same as a positive mention in the first position. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, and placement data is required before interpreting recommendation strength.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Google AI Overviews

60

58

2

0

0.9667

Strongest public recommendation signal

Gemini

50

49

1

0

0.9800

Present, but not recommendation-led at rank one

Copilot

38

32

6

0

0.8421

Present as context, not lead recommendation

Perplexity

24

23

1

0

0.9583

Positive, but sample too small for lead-position read

Google AI Mode

37

35

2

0

0.9459

Present, but rank-one placement is minimal

ChatGPT

15

15

0

0

1.0000

Positive, but sample too small

Methodology

  1. This report is a benchmark-based analysis of Figure's AI recommendation visibility in the Home Equity Loans category for October 2026. It is not a client implementation case study and does not imply that CiteWorks Studio caused any benchmark outcome.
  2. The reporting window is October 2026. The benchmark series also includes August 2026 and September 2026 measurements for trend comparison.
  3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode. All six platforms recorded at least one qualified observation in October 2026.
  4. The October 2026 run began with 800 prompt-surface observations and 619 unique questions. After qualification, 364 observations formed the public denominator for brand-level metrics.
  5. Ten companies were tracked in the benchmark: Figure, Navy Federal Credit Union, Bank of America Corp., PNC Bank, Aven, Rocket Mortgage, U.S. Bancorp, TD Bank, Spring EQ, and Discover Home Loans.
  6. One buyer-intent cluster qualified for analysis: Best HELOC and Home Equity Loan Providers (C01, consideration stage). The Pricing & Value and Multi-Brand Comparison clusters recorded zero qualified observations in October 2026.
  7. Stage 0 extraction captured the query, AI platform, answer, brand outcome, recommendation placement, sentiment, and citations where exposed. Source presence is evidence about the information environment and is not treated as proof of causation.
  8. A mention is counted when Figure appears in an AI response in any form, including recommendation, neutral reference, or comparison anchor.
  9. A valid recommendation is counted when Figure receives explicit recommendation credit from the AI system, as marked by the extraction model. Neutral, cautionary, and listed-only mentions are not counted as valid recommendations.
  10. Top-three rate measures how often Figure appears among the first three recommendations. Rank-one rate measures how often Figure appears as the very first recommendation. Average recommended rank covers rank-eligible recommendations only.
  11. The benchmark does not measure market share, sales attribution, organic search ranking, social media mention volume, or causality from metric movement alone.
  12. Entity naming note: Bank of America Corp. and U.S. Bancorp entered the October 2026 tracked set under new labels, replacing Bank of America and U.S. Bank. Coverage movements between the two labels carry the labelling change as well as any genuine movement.

See How AI Is Recommending Your Brand

The public benchmark shows where Figure stands in the category. A company-level AI visibility audit maps the specific prompts, platforms, competitor displacements, and citation sources that determine whether Figure is recommended first or added to the shortlist. It answers why Figure holds 58.24% coverage but only 3.85% rank-one placement, and what would need to change to close that gap.

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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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