Core Research Definition • Coined by Axiom GEO AI
What Is Total Brand Omission (TBO)?

Total Brand Omission (TBO) is the complete exclusion of a financial institution from unbranded, high-intent AI product recommendations across ChatGPT, Perplexity, Google Gemini, and Claude. Unlike traditional search—where ranking #6 still generates clicks—AI engines synthesize a shortlist of just 2 to 3 brands. If a bank’s rate tiers, credit thresholds, and product parameters are locked inside unstructured PDFs or JavaScript calculators rather than machine-readable semantic triples, the AI omits the bank entirely.

91.4%
Industry Total Brand Omission
Omitted in 1,097 of 1,200 AI Tests
0.0%
Regional Bank Deposit Visibility
0 of 192 on Savings, MMA & CD Tiers
22.0%
Best Single-Bank Score
Even #1 Bank Was Omitted 78% of the Time
2 of 6
Super-Regionals Erased (0/100)
5 of 6 Super-Regionals Scored ≤8%

Tier 1: The 12-Bank AI Visibility Scorecard (1,200 Total Evaluations)

Share of Model across 25 standardized, human-authored retail and commercial prompts (100 evaluations per institution across ChatGPT, Perplexity, Gemini, and Claude).

Institution ChatGPT Perplexity Gemini Claude Inclusion Rate (Share of Model) Total Brand Omission
Super Regional 3 28% 20% 24% 16% 22%
78% Omitted
Megabank 1 16% 16% 24% 24% 20%
80% Omitted
Megabank 4 32% 4% 20% 12% 17%
83% Omitted
Megabank 2 8% 12% 16% 12% 12%
88% Omitted
Megabank 6 12% 4% 12% 16% 11%
89% Omitted
Super Regional 1 12% 8% 12% 0% 8%
92% Omitted
Megabank 3 4% 4% 8% 4% 5% 95% Omitted
Super Regional 2 4% 0% 8% 4% 4% 96% Omitted
Megabank 5 4% 0% 4% 4% 3% 97% Omitted
Super Regional 4 4% 0% 0% 0% 1% 99% Omitted
Super Regional 5 0% 0% 0% 0% 0% 100% Omitted
Super Regional 6 0% 0% 0% 0% 0% 100% Omitted

Tier 2: Category Drill-Downs (Catastrophic Product Misses)

0% Hit Rate
Everyday Sticky Capital • 0 of 48 Tests
“best money market account rate for $40,000 cash”

Not a single audited bank was cited across any of the 4 AI engines. 100% of recommendations diverted depositors to online-only fintechs and aggregator listicles.

0% Hit Rate
Wealth & CDs • 0 of 48 Tests
“best 12 month cd for $20,000 emergency fund”

Identical 0% blackouts occurred on $100K 18-month CDs and $250K IRA rollovers. Because banks lock CD tiers in PDFs and zip-code gates, AI models skip them completely.

0% Regional Hit Rate
Consumer Lending • Super-Regionals Erased
“best auto loan rates for a $45,000 truck with a 650 credit score”

Super-Regional Banks completely surrendered this high-margin loan to Credit Unions, bypassing the traditional indirect-lending pipeline.

Visual Ingestion Chart • 240 Evaluations Per Banking Vertical

Total Brand Omission vs. AI Inclusion by Banking Product Line

Percentage of AI responses where the 12 audited banks were Included (Blue) versus Completely Omitted (Red) across all 1,200 tests:

Super-Regional Banks: Tiered Savings, MMA, CD & IRA Queries (192 Tests) 0.0% Included • 100.0% Omitted
Category 3: Wealth, Trusts, IRAs & CDs — All 12 Banks (240 Tests) 4.2% Included • 95.8% Omitted
Category 1: Everyday Sticky Capital / Retail Deposits — All 12 Banks (240 Tests) 7.5% Included • 92.5% Omitted
Category 4: Mainstream Real Estate / Mortgages & HELOCs — All 12 Banks (240 Tests) 8.8% Included • 91.2% Omitted
Category 5: Consumer Lending / Auto, Personal & Boat — All 12 Banks (240 Tests) 9.2% Included • 90.8% Omitted
Category 2: Local Small Business & SBA 504 Lending — All 12 Banks (240 Tests) 13.3% Included • 86.7% Omitted

Tier 3: The “Algorithmic Roulette” Phenomenon

The Consensus Fracture: When a bank fails to deploy a deterministic AI ingestion layer, AI engines are forced to guess. In our audit for a $20,000 CD, Claude scraped an affiliate marketing blog (NerdWallet), Gemini scraped a completely different set of tech startups, and ChatGPT simply provided a generic checklist. Without a Semantic Data Layer, you leave your digital pipeline to Algorithmic Roulette.

Worse still, when public pages lack verified boundaries, ChatGPT triggers The Data Upload Trap (asking borrowers to upload private contracts into the chat window), while Perplexity initiates Plaintiff Engineering (outlining legal and regulatory dispute strategies against the bank).

The 2026 Retail and Commercial Banking AI Visibility Index Axiom GEO AI Empirical 1,200-test benchmark evaluating 6 U.S. Megabanks and 6 U.S. Super-Regional Banks across ChatGPT, Perplexity, Google Gemini, and Claude across 25 standardized retail deposit, mortgage, auto, and commercial lending queries.
Axiom GEO AI 1,200-Test Banking Benchmark Dataset Findings demonstrate an industry-wide 91.4% Total Brand Omission rate (1,097 omissions out of 1,200 evaluations), a maximum single-institution inclusion score of 22.0% (Super Regional 3), and a 0.0% inclusion rate (0 out of 192 evaluations) for Super-Regional Banks across rate-driven savings, money market, CD, and IRA rollover prompts.