What 12 months of LLM referral data reveals about conversion rates, growth and commercial impact.

As part of our ongoing analysis of AI search as an acquisition channel in different industries, Jake Cussans, Senior SEO Manager here at Toucan International, reviewed 12 months of performance data from a UK finance client to evaluate the real commercial impact of LLM referral traffic.

For the last 18+ months, most brands treated LLM visibility as a curiosity metric, interesting for screenshots, worth watching, but not for revenue forecasts.

That is changing.

LLMs are becoming a genuine acquisition channel, especially when core SEO fundamentals are in place and paired with a joined-up Digital PR strategy. Daily ChatGPT queries are still small in comparison to traditional Google searches, 37.5 million search-like prompts per day for ChatGPT vs 14 billion per day for Google, but the intent can be exceptionally strong. In other words, less noise, more outcomes.

We have seen this first-hand with a finance affiliate client we launched just over a year ago.

The results from one finance client

Since March 2025, we have seen:

• +821% growth in LLM-driven users
• +700% growth in conversions from LLM / AI referrals
• +9.7% conversion rate, now the highest converting channel
• ~22% average month-on-month growth, sustained across roughly 9 consecutive months

Traffic volume is still modest compared with established channels, but quality is doing the heavy lifting. In finance, that matters far more than vanity metrics.

Why this matters for SEO teams

A lot of the AI search conversation still focuses on visibility, citations and whether your brand appears in the answer. Those things matter, but only if they lead to commercial outcomes.

What makes this shift interesting is not just that LLM referrals are growing, but that they often arrive with strong intent. Microsoft Clarity has reported that AI referral traffic can convert at materially higher rates than other channels, with some platforms outperforming direct and traditional search traffic.

So yes, volume may be lower. But if the users who arrive are ready to act, that is not a weakness. That is efficiency.

What we are seeing across AI search visibility

Alongside referral growth, we have also seen a wider footprint across AI-driven search and answer platforms, including:

• Google AI Overviews
• ChatGPT
• Perplexity
• Gemini
• Copilot

This broader citation and page coverage matters because it shows the brand is being surfaced consistently across the ecosystem, not just appearing once and disappearing into the mist.

Google has also been clear that the same SEO fundamentals still apply to AI search experiences. There are no secret settings for AI Overviews or AI Mode. Pages still need to be indexed, technically sound and genuinely useful.

The strategy behind the growth

This result did not come from chasing AI shortcuts.

It came from doing the boring things well, then doing the strategic things consistently.

1) Strong technical SEO foundations

The first layer was technical hygiene and crawlability. If search engines and AI systems cannot reliably access and interpret your content, everything else becomes harder.

Our focus included:

• – Improving site information architecture and content discoverability
• – Strengthening internal linking and topical relationships
• – Ensuring key pages were indexable, canonicalised and properly surfaced
• – Ongoing technical hygiene across templates and page types

2) Better content optimisation for intent and clarity

The second layer was content optimisation, not just for rankings, but for understanding.

That meant:

• – Sharper keyword targeting based on real user intent
• – Clearer page structures and entity signals
• – Better alignment between informational and commercial journeys
• – Content updates designed to improve usefulness, not just freshness theatre

This matters even more in finance, where trust, expertise and factual accuracy carry real weight.

3) Structured data and machine-readable context

Structured data was another key part of the stack.

It is not new, but it is increasingly important when AI systems are trying to understand entities, relationships and page purpose at scale. In practice, this helped strengthen how key pages were interpreted and surfaced.

4) Digital PR to build trust and authority

This is the bit many teams are still underweight.

In a protected niche like finance, trust is not a nice-to-have. It is part of the job. Strong Digital PR builds the external signals that support both search visibility and LLM confidence, including:

• – Credible brand mentions placed in publications we’ve seen LLMs use as sources of information
• – Expert commentary and attribution
• Relevant coverage in trusted publications
• – Reinforcement of author and brand authority

That trust layer supports E-E-A-T, which is one of the clearest overlaps between classic SEO and LLM visibility.

Why finance brands should care now

Finance is one of the clearest categories where AI visibility can create commercial value quickly because:

• – Users often ask complex, high-intent questions
• – Trust and clarity influence conversion
• – The research journey spans multiple touchpoints and formats
• – Helpful educational content and commercial pages can work together

That final point is worth underlining. In this case, referral pages were a healthy mix of top-of-funnel educational content and commercially focused pages, which is usually a sign the ecosystem is working properly.

A quick reality check on AI traffic

It is worth keeping expectations sensible.

AI referral traffic is growing, but for most brands it is still small in absolute terms compared with traditional search and other channels. That does not weaken the opportunity. It simply means the win is not raw volume yet, it is intent, conversion efficiency and visibility where users are increasingly doing their research.

Google is also continuing to evolve how links appear in AI search experiences, which is a good reminder that this channel is still moving and the mechanics will keep changing.

What this means for your SEO strategy in 2026

If you want LLMs to become a meaningful growth channel, the playbook is not to bolt on an “AI optimisation” task and hope for the best.

It is to build a stronger organic system:

• – Technical SEO foundations that make content easy to crawl and understand
• Clear, useful, intent-led content
• – Structured data and entity clarity
• – Digital PR that strengthens trust and authority
• – Measurement focused on conversions, not just citations

Or put another way, the future looks suspiciously like good SEO, just with more places to earn visibility.

Final thoughts

It is still early, but the direction of travel is clear, for the right brands, especially in finance, it is becoming a commercially meaningful acquisition channel.

If you are seeing the same pattern, or want to build towards it, now is the right time to treat AI visibility as part of your core search strategy, not a side project, because if your highest-converting channel starts life looking small, that is usually a sign to pay attention.

If you’d like an review of how LLM referral traffic is performing for your brand, and where the opportunity lies, we can help.