A lending B2B SaaS: entering Google AI Overviews from zero
An English-language lending-automation platform for banks and private lenders. Organic traffic in the niche was falling because of Google's AI blocks, so we moved visibility to where the decision is now made: AI Overviews, AI Mode, Perplexity and Gemini.
About the project
| Parameter | Value |
|---|---|
| Client | under NDA |
| Niche | B2B SaaS, fintech, lending software |
| Market | US, Europe, EN |
| Measurement period | January — September 2026 |
The client is a low-code platform for the full lending cycle: origination (LOS), servicing (LMS), scoring, early risk warning and collections. Clients are banks, microfinance, leasing companies and high-ticket businesses launching their own installment plans.
The product is complex and the sales cycle runs for months. Buyers compare vendors for a long time — and increasingly do it by asking an AI: "top loan origination software", "best LMS for microfinance".
Starting point
| Metric, January 2026 | Value |
|---|---|
| Citations across all AI platforms | 116 |
| Cited pages | 23 |
| Google AI Overviews + AI Mode | 0 |
| Organic traffic (Ahrefs) | 4,219 / mo |
The site was cited by ChatGPT, Perplexity and Gemini, but not by Google AI Overviews — and those were exactly what took clicks from organic: for commercial "best … software" queries, a ready AI answer with a vendor list sat above the results.
What we did
Made the site readable for models
Allowed GPTBot and PerplexityBot indexing at the meta-tag level, added an llms.txt describing the products, lending types and implementation timelines.
Refreshed comparison content
"Top 10 Loan Origination Systems", "Top 10 Commercial Loan Software", "Top 7 Loan Management Software" updated for 2026 — these round-ups are exactly where AI assembles its vendor short-list.
Covered narrow prompts with landing pages
Dedicated pages for scenarios: HVAC financing, equipment financing, car title loans, PoS lending, leasing. For a narrow question the model cites a narrow page, not the homepage.
Answered buyer questions directly
FAQs on implementation time, security, trial access and scoring. Short factual answers are what AI Overviews pull into the block.
Measured per platform
Monthly citation snapshots in Ahrefs AI Responses split by Google AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini and Copilot.
Citation dynamics
From March to July citations nearly doubled — from 77 to 142, and cited pages grew from 19 to 29. In September the total pulled back, but Google AI Overviews and AI Mode stayed: the site secured itself in a new channel.
| Snapshot | Citations | Google AI Overviews + Mode |
|---|---|---|
| January | 116 | 0 |
| March | 77 | 0 |
| May | 121 | 23 |
| July | 142 | 23 |
| Sep 1 | 102 | 20 |
Breakdown by AI platform
The visibility mix shifted toward Google. That matters for B2B: AI Overviews is seen by everyone searching for a vendor on Google, not only those already using ChatGPT.
| Platform | January | July |
|---|---|---|
| Google AI Mode | 0 | 12 |
| Google AI Overviews | 0 | 11 |
| Perplexity | 10 | 5 |
| Gemini | 11 | 2 |
| ChatGPT | 7 | 0 |
| Copilot | 2 | 0 |
Results in numbers
| Metric | January | July | September |
|---|---|---|---|
| Citations across all AI | 116 | 142 | 102 |
| Cited pages | 23 | 29 | 29 |
| Google AI Overviews | 0 | 11 | 8 |
| Google AI Mode | 0 | 12 | 12 |
| Organic traffic | 4,219 | 2,051 | 1,088 |
Takeaways
In complex B2B software niches organic traffic is shrinking, and arguing with that is pointless. The winner is whoever the AI answer names in its vendor list.
The case also shows a limit: AI visibility fluctuates more than organic and must be maintained with content updates and regular per-platform monitoring.
Want the same result?
Tell me about your product — I'll check whether ChatGPT, Gemini and Google AI Overviews name you, and propose a strategy.
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