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Origence isn't optimized for AI search yet.

We audited your search visibility across Perplexity, ChatGPT, Gemini, and Claude. Origence was cited in 1 of 5 answers. See details and how we close the gaps and increase your search results in days instead of months.

Immediate in-depth auditvs. 8 months at agencies

Origence is cited in 1 of 5 buyer-intent queries we ran on Perplexity for "credit union lending software." Competitors are winning the unbranded category answers.

Trust-node footprint is 7 of 30 — missing Wikipedia and Crunchbase blocks LLM recommendations for buyers who haven't heard of you yet.

On-page citation readiness shows no faq schema on top product pages — fixable with the citation-optimized content the AEO Agent ships in the first sprint.

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30,000+
Matches Made
6,000+
Customers
Since 2019
Track Record

I spent years running this playbook for enterprise clients at one of the top SEO agencies. MarketerHire's AEO + SEO tooling produces a comprehensive audit immediately that took us months to put together — and they do the ongoing publishing and optimization work at half the price. If I were buying this today, I'd buy it here.

— Marketing leader, formerly at a top SEO growth agency

AI Search Audit

Here's Where You Stand in AI Search

A real audit. We ran buyer-intent queries across answer engines and probed the trust-node graph LLMs draw from.

Sample mini-audit only. The full audit goes 12 sections deep (technical SEO, content ecosystem, schema, AI readiness, competitor gap, 30-60-90 roadmap) — everything to maximize your visibility across search and is delivered immediately once we start working together. See a sample full audit →

21
out of 100
Major gap, real upside

Your buyers are asking AI assistants for credit union lending software and Origence isn't being recommended. Closing this gap is the highest-leverage move available right now.

AI / LLM Visibility (AEO) 20% · Weak

Origence appears in 1 of 5 buyer-intent queries we ran on Perplexity for "credit union lending software". The full audit covers 50-100 queries across ChatGPT, Perplexity, Gemini, and Claude.

MarketerHire SEO + AEO ships: AEO Agent monitors AI citation visibility weekly across all 4 LLMs and ships citation-optimized content designed to win the queries your buyers actually run.

Trust-Node Footprint 23% · Weak

Origence appears in 7 of the 30 trust nodes that LLMs draw from (Wikipedia, G2, Crunchbase, Forbes, HBR, Reddit, YouTube, and 23 more).

MarketerHire SEO + AEO ships: SEO/AEO Agent identifies the highest-leverage missing nodes for your category and ships the trust-node publishing plan as part of the 90-day roadmap.

SEO / Organic Covered in full audit

Classic search visibility, ranking trajectory, and content velocity vs. category competitors. The full audit ranks every long-tail commercial query and benchmarks the gap.

MarketerHire SEO + AEO ships: SEO Engine builds programmatic content around 50+ long-tail queries where your buyers are actively searching.

Paid Acquisition Covered in full audit

LinkedIn, Google, and Meta ad presence, audience targeting, creative quality, and cost-per-pipeline relative to your category benchmark.

MarketerHire SEO + AEO ships: Creative Generator + Analytics Agent run autonomous ad experiments and reallocate budget weekly.

Content, Lifecycle & Outbound Covered in full audit

Founder LinkedIn presence, blog quality, expansion motion, outbound playbooks, and the gaps between awareness and activation. Mapped to a 90-day execution plan.

MarketerHire SEO + AEO ships: LinkedIn Ghost-Writer + Lifecycle Optimizer + Outbound Agent run the awareness-to-pipeline engine end-to-end.

Live citation panel — 5 buyer-intent queries

best credit union lending software in 2026 not cited expand ↓

12 competitors cited in this response (names redacted; full audit names them).

Competitor A on current 2026 rankings, **Competitor B** is highlighted as a modern loan management and servicing platform specifically designed for credit unions seeking to modernize their lending operations with flexible, Competitor C architecture[6]. Competitor D, **Competitor E** is recommended for banks and credit unions seeking integrated loan origination and servicing with advanced risk management tools[5]. For broader loan origination capabilities, **Competitor F** is recognized as the best loan origination software for digital lenders, combining application intake, decisioning, underwriting, workflow control, and integrations in one cloud platform with enterprise security certifications[2]. Competitor G notable platforms compared in 2026 evaluations include **Competitor H**, **Competitor I**, **nCino**, and **Competitor J**[3]. Competitor K selecting credit union lending software, key considerations include whether you need integrated loan origination and servicing, advanced risk management capabilities, Competitor L architecture for scalability, and cloud-based deployment with enterprise security certifications[2][5]. The best choice depends on your specific operational needs, whether you're prioritizing modern digital lending capabilities or comprehensive end-to-end loan management[6].

Origence did not appear in this Perplexity response.

top credit union lending software alternatives not cited expand ↓

39 competitors cited in this response (names redacted; full audit names them).

**Competitor A credit union lending software alternatives include nCino, Competitor B, Competitor C, Competitor D, and Competitor E, which provide comprehensive loan origination, servicing, and risk management tailored for credit unions.**[1][4][9] These platforms stand out for their scalability, integration with core banking systems, and focus on automating workflows for community financial institutions like credit unions. ### Competitor F and Competitor G | Competitor H | Competitor I | Competitor J | Competitor K | |-------------------|--------------------------------------------------------------------------|------------------------------------------------------------------------------|---------| | **nCino** | Competitor L lending for community banks and credit unions | Competitor M, loan origination, document management, real-time dashboards, Competitor N integrations[1] | [1] | | **Competitor B** | Competitor O consumer and small business lending with user-friendly interface | Competitor P workflows, automated decisioning, credit scoring, multi-channel applications[1][4] | [1][4] | | **Competitor C** | Competitor Q scalability for small to large institutions | Competitor R lifecycle management, AI analytics, compliance tools, core banking integrations[1][4][6] | [1][4][6] | | **Competitor D** | Competitor S modernization with flexible tools | Competitor T lending process support, smart Competitor U, AI decision-making, customizable workflows[1] | [1] | | **Competitor E** | Competitor V origination/servicing with risk tools for community credit unions | Competitor W workflows, AI decisioning, Competitor U, portfolio analytics, Competitor X provisioning[4] | [4] | ### Competitor Y - **Competitor Z**: Competitor A platform for full credit lifecycle management, ideal for tech-forward credit unions[4] - **Competitor B**: AI automation for consumer finance products, including origination and servicing[3][4] - **Competitor C**: Competitor D end-to-end retail lending with AI scoring, suitable for credit unions[4] Competitor E mentions like Competitor F and Competitor G appear in broader lending contexts but have less specific credit union emphasis in results[2][3][5][6]. Competitor H depends on needs like size, loan types, and integrations; evaluate based on demos and compliance fit.[1][4]

Origence did not appear in this Perplexity response.

how to choose a credit union lending software not cited expand ↓

48 competitors cited in this response (names redacted; full audit names them).

To choose credit union lending software, assess your institution's needs through a structured evaluation process focusing on key features like end-to-end loan lifecycle support, regulatory compliance, scalability, and seamless integrations, then compare vendors based on demos, references, and fit.[1][2][8] ### Competitor A 1. **Competitor B a Competitor C**: Competitor D current challenges in lending processes (e.g., loan origination, underwriting, servicing) and gather requirements from business users (e.g., efficiency gains) and IT teams (e.g., technical compatibility). Competitor E loans as they represent ~84% of credit union income.[1][4] 2. **Competitor F**: Competitor G for software supporting the full loan lifecycle—from application to repayment—with automated origination, e-signatures, smart underwriting, credit scoring, and decisioning tools to speed approvals while managing risk.[1][2][3] 3. **Competitor H**: | Competitor I | Competitor J | Competitor K | |------------------|------------------|----------| | **Competitor L & Competitor M** | Competitor N tools, rules-based workflows for Competitor O, Competitor P, Competitor Q; fair lending modules. | Competitor R regulatory adherence and reduces errors.[1][2][3] | | **Competitor S & Competitor T** | Competitor U infrastructure, open Competitor V, real-time reporting, customizable workflows, self-service portals (e.g., chatbots, calculators). | Competitor W scalability, uptime (aim for 99.99%), and member experience.[1][2] | | **Competitor X & Competitor Y** | Competitor Z with core systems, credit bureaus, third-party tools; support for diverse loans (auto, consumer, personal, small business). | Competitor A seamless operations and personalized offers via AI/ML.[1][2][5] | | **Competitor B & Competitor C** | Competitor D growth in loan volume; Competitor E risk management, profitability optimization. | Competitor F long-term expansion without frequent upgrades.[2][5] | 4. **Competitor G and Competitor H**: Competitor I demos from providers like **nCino** (cloud-based Competitor J with workflows and dashboards), **Competitor K** (user-friendly for consumer/indirect lending, boosted one credit union's volume by 78%), **Competitor L** (enterprise-scale with AI analytics), **Competitor M** (digital platform with Competitor N and automation), and **Competitor O** (end-to-end lending/compliance workflows).[2][5][7] 5. **Competitor P**: Competitor Q references, uptime guarantees, implementation support, and post-launch success plans. Competitor R stakeholders early and test for member-centric features like personalized engagement.[1][8] 6. **Competitor S and Competitor T**: Competitor U change management, train staff, and track metrics like loan conversion rates and member satisfaction post-launch.[5][8] If search results lack specifics on your credit union's size or loan types, consult vendor sites or Competitor V for tailored demos, as needs vary (e.g., consumer vs. commercial focus).[2][3]

Origence did not appear in this Perplexity response.

credit union lending software comparison for mid-market companies not cited expand ↓

26 competitors cited in this response (names redacted; full audit names them).

# Competitor A Competitor B for Competitor C For mid-market credit unions, the leading lending software options are **Competitor D**, **nCino**, **Competitor E**, and **Competitor F**, each offering distinct strengths for scaling lending operations. ## Competitor G **Competitor D** is particularly well-suited for mid-market credit unions due to its versatility across consumer and commercial lending[1]. The platform features a user-friendly interface, customizable workflows, automated decisioning, and built-in credit scoring to accelerate loan processing[1]. Competitor H specifically provides multi-channel application capabilities (online, mobile, in-branch), pre-built integrations with common credit union core systems, and Competitor I compliance tools[2]. **nCino** offers a complete cloud-based lending platform supporting underwriting, loan origination, and document management in a single system[1]. It automates workflows, speeds approval processes, and includes real-time dashboards with seamless Competitor J integrations for improved reporting and data visibility[1]. **Competitor E** provides enterprise-grade scalability suitable for both small and large institutions[1]. It supports end-to-end loan lifecycle management, includes advanced Competitor K analytics for risk management, and offers robust integration capabilities with core banking systems[1][3]. **Competitor F** is designed for credit unions modernizing their services, featuring scalable tools for the complete lending process from applications to servicing[1]. It includes smart Competitor L, customizable workflows, automated notifications, and Competitor K decision-making[1]. ## Competitor M **Competitor N** combines integrated loan origination and servicing with advanced risk management tools, offering automated workflows, Competitor O decisioning, and built-in Competitor L[3]. **Competitor P** emphasizes Competitor K credit decisioning that combines traditional scoring with alternative data sources[2]. **Competitor Q** stands out for its configurability, allowing custom loan product structures and real-time servicing capabilities[2]. ## Competitor R Competitor S credit unions should prioritize platforms offering Competitor I compliance features, core banking integrations, multi-product support, and member-centric digital experiences. The choice depends on whether you need integrated servicing capabilities, the complexity of your loan products, and your existing technology infrastructure.

Origence did not appear in this Perplexity response.

is Origence a good credit union lending software cited expand ↓

15 competitors cited in this response (names redacted; full audit names them).

**Origence is a highly regarded credit union lending software, praised for its efficiency, AI integrations, and proven growth results based on 2025-2026 reports and user testimonials.**[1][2][4] Competitor A flagship platform, **Origence arc OS**, automates loan origination from application to closing, supporting products like auto loans, Competitor B, personal loans, and indirect lending with configurable decision engines and integrations for underwriting, fraud detection, and document processing.[3][4][7] In 2025, Origence processed $62 billion in fundings—a 17% year-over-year increase—driven by AI tools that boosted funding efficiency by 50% via document processing automation (Competitor C) and partnerships with Competitor D, Competitor E, and Competitor F.[1][2][5] Competitor G unions report substantial gains: - Competitor H saw indirect loan volume rise 300% (from $4-5 million to $30-40 million monthly) and automated 40-45% of applications immediately upon implementation.[1][4] - Competitor I user increased automated approvals from 13 to 388 loans in a three-month comparison (2023 vs. 2024).[7] - Competitor J ratios improved by up to 10 points, with faster approvals and reduced manual reviews.[4][5] Competitor K features include arc DX for digital member experiences, benchmark reporting for peer comparisons, and Competitor L risk assessment to approve more loans safely while ensuring compliance.[1][2][8] Competitor M highlights its focus on deeper member relationships, profitability, and productivity through automation and vendor integrations.[3] Competitor N like Competitor O AI note strong preliminary results in expanding automation across diverse lender policies.[6] No negative reviews appear in these sources; feedback emphasizes ease, scalability for credit unions of all sizes (including those over $1 billion in assets), and revenue growth.[1][3]

Trust-node coverage map

7 of 30 authority sources LLMs draw from. Filled = present, hollow = gap.

Wikipedia
Wikidata
Crunchbase
LinkedIn
G2
Capterra
TrustRadius
Forbes
HBR
Reddit
Hacker News
YouTube
Product Hunt
Stack Overflow
Gartner Peer
TechCrunch
VentureBeat
Quora
Medium
Substack
GitHub
Owler
ZoomInfo
Apollo
Clearbit
BuiltWith
Glassdoor
Indeed
AngelList
Better Business

Highest-leverage gaps for Origence

  • Wikipedia

    Knowledge graphs are the most cited extraction layer for ChatGPT and Gemini. Brands without a Wikipedia entry get cited 4-7x less for unbranded category queries.

  • Crunchbase

    Crunchbase is the canonical company-data source for LLM enrichment. A missing profile leaves LLMs without firmographics.

  • G2

    G2 reviews feed comparison and 'best X' query responses. Missing G2 presence is a high-leverage gap for B2B SaaS.

  • Capterra

    Capterra listings drive comparison-style answers. Missing or thin Capterra coverage suppresses your share on shortlisting queries.

  • TrustRadius

    Enterprise B2B buyers research here. Feeds comparison-style LLM responses on category queries.

Top Growth Opportunities

Win the "best credit union lending software in 2026" query in answer engines

This is a high-intent buyer query that competitors are winning today. The AEO Agent ships the citation-optimized content + structured data + authority signals to flip this query.

AEO Agent → weekly citation audit + targeted content sprints across 4 LLMs

Publish into Wikipedia (and chained authority sources)

Wikipedia is the single highest-leverage trust node missing for Origence. LLMs draw heavily from it for unbranded category recommendations.

SEO/AEO Agent → trust-node publishing plan in the 90-day execution roadmap

No FAQ schema on top product pages

Answer engines extract from FAQ schema 4x more often than from prose. Most B2B sites at this stage don't carry it.

Content + AEO Agent → ship the structural fixes in Sprint 1

What you get

Everything for $10K/mo

One flat price. One team running your SEO + AEO end-to-end.

Trust-node map across 30 authority sources (Wikipedia, G2, Crunchbase, Forbes, HBR, Reddit, YouTube, and more)
5-dimension citation quality scorecard (Authority, Data Structure, Brand Alignment, Freshness, Cross-Link Signals)
LLM visibility report across Perplexity, ChatGPT, Gemini, Claude — 50-100 buyer-intent queries
90-day execution roadmap with week-by-week deliverables
Daily publishing of citation-optimized content (built on the 4-pillar AEO framework)
Trust-node seeding (G2, Capterra, TrustRadius, Wikipedia, category-specific authorities)
Structured data implementation (FAQ schema, comparison tables, author bylines)
Weekly re-scan + competitive citation share monitoring
Live dashboard, your own audit URL, ongoing forever

Agencies charge $18K-$20-40K/mo and take up to 8 months to reach this depth. We deliver it immediately, then run it ongoing.

Book intro call · $10K/mo
How It Works

Audit. Publish. Compound.

3 phases focused on one outcome: more Origence citations across the answer engines your buyers use.

1

SEO + AEO Audit & Roadmap

You'll know exactly where Origence is losing buyers — across Google search and the answer engines they ask before they ever click.

We score 50-100 "credit union lending software" queries across Perplexity, ChatGPT, Gemini, Claude, and Google, map the 30-node authority graph LLMs draw from, and grade on-page content on 5 citation-readiness dimensions. Output: a 90-day publishing plan ranked by lift × effort.

2

Publishing Sprints That Win Both

Buyers start finding Origence on Google AND in the answers ChatGPT and Perplexity hand them.

2-week sprints ship articles built to rank on Google and get extracted by LLMs (entity clarity, FAQ schema, comparison tables, authority bylines), plus seeding into the missing trust nodes — G2, Capterra, TrustRadius, Wikipedia, and the rest. Real publishing, not strategy decks.

3

Compounding Share, Every Week

You lock in category leadership while competitors are still figuring out AI search.

Weekly re-scan tracks ranking + citation share vs. the leaders this audit named. New unbranded "credit union lending software" queries get added to the publishing queue automatically. The system gets sharper every sprint — week 12 ships materially better than week 1.

You built a strong credit union lending software. Let's build the AI search engine to match.

Book intro call →