Found AI Market Strategy Report - Business Checking Accounts

Answer Capsule

Found recorded no valid recommendations in the September 2026 Business Checking Accounts benchmark, falling from 11.7% valid recommendation coverage in July 2026 to 0.0% in September 2026. The brand is no longer present in the tracked competitive set, which narrowed from 48 brands in July to 10 in September. Found's decline reflects a set change rather than a measured drop in brand quality, but the practical outcome is that AI systems no longer surface the brand in qualified business checking account discovery prompts. The clearest opportunity is to rebuild recommendation-stage visibility through a targeted citation and source footprint strategy focused on the high-intent prompt clusters where the brand previously appeared.

Who This Report Is For

This report is for Found's product marketing, growth, and brand strategy teams responsible for how the company appears when business owners ask AI systems which business checking account to open.

Report Card

Executive Summary

Found is absent from the September 2026 qualified benchmark set. The brand recorded no valid recommendations, no top-three placements, and no rank-one placements across 144 qualified observations in the Business Checking Accounts category. This follows a decline from 11.7% valid recommendation coverage in July 2026, when Found held measurable presence in the category.

The benchmark's tracked brand list narrowed from 48 brands in July 2026 to 10 in September 2026. Found is one of several brands, including Relay, Truist Bank, and Varo Bank, that fell from measurable July coverage to no recorded coverage in September because they no longer appear in the tracked set. These are set changes, not measured declines in brand quality, but they carry the same strategic consequence: Found is not being recommended in the qualified prompts that drive business checking account discovery.

The strongest competitive signal in the category is Chase's leadership at 58.3% valid recommendation coverage, followed by Bank of America at 54.2%. Found's absence means the brand is losing recommendation-stage visibility to competitors that hold strong positions in the Brand Recommendation cluster, which accounted for all 144 qualified observations in September 2026.

The clearest platform gap is Found's complete absence across all six tracked AI surface families. The clearest cluster gap is the Brand Recommendation cluster, where Found has no presence despite the category's qualified observations falling entirely into this buyer-intent class.

What Found Is Winning

Found has no evidence-backed wins in the September 2026 benchmark. The brand recorded no valid recommendations, no top-three placements, and no rank-one placements across the qualified observation set. Its July 2026 coverage of 11.7% demonstrates that the brand could generate recommendation-stage visibility when included in the tracked set, but that presence did not carry into September.

The absence of negative framing is the only neutral signal available. Found does not appear in any cautionary or negative mention context in the current benchmark, which means the brand's challenge is one of visibility and recommendation conversion rather than reputation repair.

Where Found Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Which competitive metrics show the clearest gap between Found and the category leaders?
• What does Found's absence from the qualified set mean for its competitive position in business checking account recommendations?

Found's clearest gap is total absence from the qualified recommendation set. The brand is not being mentioned, not being recommended, and not being placed in any top-three or rank-one position across the six tracked AI surface families.

The competitive displacement is stark. Chase leads the category at 58.3% valid recommendation coverage with a 35.4% top-three rate and a 23.6% rank-one rate. Bank of America follows at 54.2% coverage. Bluevine, U.S. Bank, and Mercury hold mid-tier positions between 35.4% and 43.1% coverage. Found has no comparable presence in any of these metrics.

The benchmark's narrowing from 48 tracked brands in July to 10 in September means Found is competing for visibility in a more concentrated field. The brands that remain tracked, including fintech-focused providers like Bluevine and Mercury, are capturing the recommendation slots that Found held in July. The public evidence suggests Found's source footprint is not currently supporting retrieval or recommendation in the qualified prompt set.

Biggest Opportunity

Questions This Section Answers

• What is the clearest path for Found to rebuild recommendation-stage visibility in business checking account prompts?

Found's clearest opportunity is to rebuild recommendation-stage visibility in the Brand Recommendation cluster, which accounted for all 144 qualified observations in September 2026. The brand's July 2026 coverage of 11.7% demonstrates that AI systems could recommend Found when the brand was part of the tracked set.

The path forward is to strengthen the public evidence layer that supports recommendation. Found should focus on building a citation architecture that makes the brand's business checking account offering easy for AI systems to retrieve and synthesize in response to prompts like "best business checking account" and "best business bank account for a new small business." This means developing owned answer content, securing backlink-supported third-party coverage, and ensuring the brand's value proposition is consistently framed across the source footprint that AI systems draw from.

Competitive Landscape

Questions This Section Answers

• Where does Found rank against the tracked competitive set on recommendation metrics?
• Which competitors hold the strongest top-three and rank-one recommendation positions?

Chase and Bank of America hold the strongest recommendation-stage positions in the Business Checking Accounts category, with Chase leading at 58.3% valid recommendation coverage. Found is not present in the September 2026 tracked set and therefore holds no measurable position relative to the competitive field.

Average recommended rank covers rank-eligible recommendations only.

Found's row reflects its absence from the September 2026 qualified set. The brand holds no top-three placements, no rank-one placements, and no rank-eligible recommendations, placing it below every tracked competitor in the category.

Prompt Evidence

ChatGPT / Brand Recommendation Prompt: "What is the best business bank account for a new small business?" Result: Found is not mentioned or recommended in the response, with recommendation slots going to tracked competitors.

Google AI Mode / Brand Recommendation Prompt: "best business checking account" Result: Found is absent from the response, with Chase and Bank of America capturing the leading recommendation positions.

Perplexity / Brand Recommendation Prompt: "Which bank is best to open a business account?" Result: Found does not appear in the response, consistent with its absence from the qualified observation set.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts, surfaces, and competitor patterns where Found previously appeared and where it is now absent.

Phase 2: Recommendation Readiness Plan Identify the high-intent prompt clusters where Found's business checking account offering should be recommended and prioritize them by competitive opportunity.

Phase 3: Owned Answer Layer Buildout Develop owned content that directly answers business checking account discovery prompts with clear, factual, and recommendation-ready framing.

Phase 4: Citation / Authority Layer Development Build the backlink-supported evidence layer and third-party source footprint that AI systems can retrieve and synthesize when forming recommendations.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Found's return to the qualified set and measure progress on mention presence, valid recommendation coverage, and placement quality.

Why This Matters

Questions This Section Answers

• Why does Found's absence from AI recommendations carry commercial consequences for business checking account discovery?

Business owners are increasingly asking AI systems which business checking account to open, and those systems are forming recommendations from the public evidence layer they can retrieve. Found's absence from the September 2026 benchmark means the brand is invisible at the moment of recommendation, when buyers are deciding which accounts to shortlist.

Presence alone is not enough. The brands winning this category, Chase and Bank of America, combine high mention presence with strong recommendation conversion and prominent placement. Found's next move is to rebuild the prompt, page, and citation layers that support recommendation-stage visibility, starting with the high-intent discovery questions where the brand previously held measurable coverage.

Core Metrics

Sentiment Score

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

Found's sentiment score is 0.0000 because the brand recorded zero mentions in the September 2026 qualified set. This is not a neutral assessment of brand quality; it is a measurement artifact of absence.

Unclassified mention counts are misleading because they treat every appearance as equal. Share of voice is a diagnostic metric, not a business KPI, and it cannot substitute for understanding how a brand is framed. A positive recommendation, neutral reference, cautionary mention, and competitor-displaced mention are not equal. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, and Found's current challenge is generating any classified mentions at all.

Sentiment by Platform

Methodology

1. This report analyzes Found's AI recommendation visibility in the Business Checking Accounts category using the LLM Authority Index AI Market Discovery benchmark for September 2026.
2. The reporting window is September 2026, with July 2026 referenced as the baseline for movement analysis.
3. Six canonical AI surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Mode, and Google AI Overviews.
4. The benchmark began with 800 prompt-surface observations and produced 144 qualified observations after relevance and qualification filtering.
5. The tracked competitive set included 10 brands in September 2026, narrowed from 48 brands in July 2026.
6. All 144 qualified observations fell into the Brand Recommendation buyer-intent cluster, which captures prompts asking which business checking account to choose.
7. Stage 0 extraction retained prompt-level observations including query, surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
8. A mention is defined as any appearance of a brand in an AI response to a qualified observation.
9. A valid recommendation is defined as a clear recommendation of a brand in response to a qualified observation, distinct from a neutral reference or cautionary mention.
10. Found's July 2026 coverage of 11.7% reflects its position when the brand was included in the tracked set; its September 2026 absence reflects the narrowed competitive set.
11. Movement between months identifies changes worth investigating and does not by itself establish the cause of those changes.
12. Limitations: the public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, or causality from metric movement alone.

See How AI Is Recommending Your Brand

Found's absence from the September 2026 benchmark is a strategic signal, not a final verdict. A company-level AI visibility audit can identify the specific prompts, competitors, and source patterns that determine where Found appears and where it is displaced in AI-generated recommendations.