Ranked #1 on Claude.
Ranked #1 on LLMs.
For the Exact Search Term That Brings Clients In.

About Lending Valley

Lending Valley is a Brooklyn-based Merchant Cash Advance (MCA) and business lending company, specialising in fast, flexible financing for small businesses across the United States. Founded and run by Chad, the business provides same-day funding, unsecured business loans, and MCA solutions to business owners who need capital quickly without the friction of traditional bank lending.

The MCA lending space in New York is intensely competitive. Multiple well-funded national operators and dozens of local brokers compete for the same high-intent search queries. For Lending Valley to grow, they needed to be found first, not just by Google, but by the AI tools that are increasingly becoming the first stop for business owners researching their borrowing options.

The Problem

When Growth Mentor Media began working with Lending Valley, the website had real content, real products, and a genuine track record. What it lacked was the technical SEO foundation, the content architecture, and the AI-optimised structure needed to compete for the search terms that actually bring in qualified borrowers.

• Weak organic search presence: Average position across tracked keywords sat at 67.5, meaning Lending Valley was buried deep enough in Google results that most potential borrowers never found them organically. Clicks reflected this, with just 402 over the comparison period.
• Zero AI search visibility: When a Brooklyn business owner asked ChatGPT or Perplexity "what are the best MCA loan agencies in New York Brooklyn," Lending Valley did not appear. Their competitors did. This is increasingly where high-intent borrowers begin their research, and not showing up there is a lead generation gap that grows every month.
• Content not structured for answers: The website had service pages but lacked the FAQ architecture, definition-first content, and structured data that AI engines and featured snippet algorithms need to extract and cite a source. Good content was present but invisible to the systems that surface it.

Our Approach

The strategy ran on three parallel tracks: fix the foundation with technical SEO, build content that wins featured snippets through AEO, and optimise specifically for AI engine citation through GEO. All three compound on each other, and all three were required to get the results Lending Valley needed.

1. Technical SEO Foundation

Before any content work, we audited and resolved the technical issues that were suppressing Lending Valley's crawlability and indexing efficiency. This included Core Web Vitals improvements, proper canonical structure across service pages, schema markup implementation for the business and its loan products, and internal linking restructured to direct authority toward the highest-value service pages.

The site's keyword targeting was also realigned. Generic terms were deprioritised in favour of high-intent, locally specific queries where Lending Valley had a genuine competitive advantage. "MCA loan agencies Brooklyn" and "same-day business funding New York" convert at a fundamentally higher rate than broad finance terms, and ranking for them requires deliberate, focused optimisation rather than general content volume.

2. AEO Content Architecture for Featured Snippets

Answer Engine Optimisation is the practice of structuring content so that Google and AI platforms can extract it as a direct answer. Most service business websites are written as brochures. AEO-optimised pages are written to answer specific questions, with the core answer in the first two sentences, followed by structured supporting detail.

We rebuilt Lending Valley's key service pages with this architecture, adding FAQ sections with question-answer pairs for every high-intent query in their space, definition-first introductions on every product page, and a content programme covering the most common borrower questions in the MCA and small business lending category. Each piece of content was written to be citable, quotable, and extractable by both human readers and AI systems.

3. GEO Strategy for AI Engine Rankings

Generative Engine Optimisation targets a different outcome to traditional SEO. The goal is not to rank on a results page, it is to become the source that AI engines cite when they answer a question. ChatGPT, Perplexity, and Google AI Overviews all draw on specific content signals when constructing their answers, and those signals are different from what Google's blue links reward.

We built Lending Valley's GEO strategy around three pillars: original data and first-party claims that AI engines cannot find elsewhere, structured FAQ content with clear question-answer formatting that AI engines can parse directly, and consistent authority signals across Lending Valley's web presence that establish them as the definitive Brooklyn MCA source. The result was top placement in both ChatGPT and Perplexity for "best MCA loan agencies in New York Brooklyn," a query that captures business owners actively comparing providers.

ChatGPT Search: "Best MCA Loan Agencies in New York Brooklyn"

4. Local Authority Building

For a Brooklyn-based MCA lender, local signals matter as much as topical authority. We built a consistent local SEO presence across directories, citation sources, and Google Business Profile to reinforce that Lending Valley is a real, established business with a physical location serving the New York market. These signals feed into both Google's local pack algorithm and the entity recognition that AI engines use when deciding which businesses to recommend by name.

Search Performance: Then vs Now

Google Search Console data comparing the last 6 months against the previous 6 months, reflecting sustained compounding from the SEO and AEO programme.

What Chad Said

That message came in after Chad saw the Search Console comparison showing clicks more than doubling. Eleven months into the engagement, the momentum is consistent and still building. The foundation is in place, the AI visibility is live, and every month of continued optimisation compounds on what came before.

The Results

Eleven months of SEO, AEO, and GEO running in parallel. Every metric moving in the right direction, with the most valuable outcome being one that no search console report can fully capture: Lending Valley is now the name that AI recommends when a Brooklyn business owner asks where to get an MCA loan.

Our Responsibilities