Let’s be honest. If someone drops a graph of declining organic traffic on your desk and asks you to explain yourself, what do you say?
For a long time, the answer was simple: more traffic means SEO is working. Less traffic means something’s gone wrong. Fix it, and the job’s done.
Unfortunately, that framing is becoming dangerously outdated. And Jack Lingard, Head of Search at Anything Is Possible, made that point brilliantly at Brighton SEO 2026. His talk, From Clicks to Influence: Measuring SEO in a Zero-Click, AI-Driven World, is one of those ones that sticks with you because it reframes something you thought you had figured out.
Here’s the short version of why this matters, and what you can actually do about it.
The metrics haven’t caught up with the reality
A few stats Jack opened with that probably made a few people in the room shift uncomfortably in their seats:
- 93% of AI-powered searches end without a click
- AI overviews now appear in 15-25% of searches (and rising)
- Brands are 6.5x more likely to be cited in AI answers via third-party sources than their own domain
- 47% of people have used AI to help make a purchase decision
So people are searching, and they’re getting answers. They might even be influenced by your brand. However, they’re just not clicking through to your site to do it.
If your only SEO success metric is organic sessions, you’re measuring the one thing that’s increasingly guaranteed to go down, regardless of how good your SEO actually is. Bit of a problem, right?
AI is word of mouth (on steroids)
Jack drew a line from word of mouth, through newspapers, radio, TV, the internet, and landed on LLMs as the latest chapter in how brands build influence. Here’s the thing you might not realise: we’ve actually come full circle.
LLMs work a lot like word of mouth. They pull from reviews, forums, Q&A sites, third-party coverage, Reddit, your own site, video content, social media, and pull it all together into a recommendation. AI is essentially the world’s biggest gossip. As Oscar Wilde (yes, really) would say: there is only one thing worse than being talked about, and that is not being talked about.
Being visible in AI answers isn’t a vanity metric. It’s the new word of mouth, at scale. If an AI recommends a competitor over you, that’s a lost sale you’ll never see in your analytics. Sounds ominous, but there’s a framework for measuring all of this properly, which brings us nicely to the good bit.
The Search Influence Framework
Jack introduced what he calls the Search Influence Framework. Four levels that together give a much fuller picture of what SEO is actually doing for a business.
Level 1: Surface Visibility
The most familiar layer. How you appear across search results: keyword rankings, impressions, traffic share, and AI overview inclusion rate.
The key shift here is moving away from tracking raw rankings and towards your Search Surface Share: what percentage of total SERP elements mention your brand versus your competitors? Not just position one, but across featured snippets, People Also Ask, AI overviews, shopping results, all of it.
It’s a more honest picture of how visible you actually are on a search results page.
Level 2: AI Citation and Mentions
If most AI searches don’t end in a click, what matters isn’t whether you’re driving traffic from AI. It’s whether you’re in the AI answer at all.
The metrics here cover topical coverage across your industry, brand sentiment in AI responses (are these tools saying good things about you?), average position when you are cited, and any referral traffic that does make it through.
Tracking this over time tells you whether your content is actually getting you into the conversation. Not just on Google, but in ChatGPT, Perplexity, Google’s AI Mode, and wherever else people are asking questions these days.
This is also worth thinking about from a technical SEO angle. Is your content clear, well-structured, and easy to cite? If not, that’s worth addressing.
Level 3: Behavioural Signals
If organic clicks are going down, what should be going up if your SEO is working? This is the level most people skip, and it might be the most telling of the lot.
Watch for branded search volume (are more people searching for you by name?), direct traffic (are people coming straight to you after encountering your brand elsewhere?), return visitors, and referral traffic from the third-party sources that also get you cited in AI answers.
The logic is pretty straightforward: if SEO is building real brand awareness, you’d expect to see these numbers moving in the right direction even as organic click volume softens. If everything is flat or declining, your SEO might be chasing rankings without building any actual influence.
Level 4: Revenue Influence Factor
Here’s the big one. The question every client and stakeholder eventually asks: so what does this actually mean for revenue?
The Revenue Influence Factor (RIF) is Jack’s way of modelling the total commercial impact of SEO, including the revenue that never gets attributed to an organic click.
RIF = Total Impact / Directly Attributable Revenue
Say tracked organic and LLM-referred revenue comes to £100k, but you can model another £80k in lift from branded search growth, direct traffic, and returning visitors. Your total impact is £180k, and your RIF is 1.8x.
Bet you didn’t expect SEO reporting to come with a multiplier, right?
That number is what you take to your stakeholders. It says: for every pound of revenue we can directly tie to SEO, there’s nearly another pound happening because of SEO that last-click attribution just can’t see.
Jack uses historical trends, regression modelling, and controlled comparisons to build the estimate. It’s not an exact science, and he’s upfront about that. It’s a far more honest picture than a graph that flatlines the moment AI overviews start answering queries your pages used to rank for.
Shifting how you report
One of the most practical takeaways from the talk is simply how you present SEO performance.
The old approach: organic sessions, keyword rankings, organic revenue, impressions and clicks.
The new approach: three dashboards working together.
- A Visibility Dashboard for surface-level search presence
- An Influence Dashboard for AI mentions, behavioural signals, and brand demand
- A Revenue Dashboard with the RIF model doing the heavy lifting
This isn’t just about making SEO look better than it is, but rather making the reporting accurate. Traffic tunnel vision was always a blunt instrument. In a world where most searches end without a click, it’s become misleading.
What to actually do with this
Stop reporting SEO as though traffic is the only thing that matters. It isn’t, and it hasn’t been for a while. If declining clicks are the headline in your monthly report, you’re telling the wrong story.
Start tracking where you appear in AI answers. Tools for monitoring AI citation are developing fast, and getting on top of this now puts you ahead of most.
Pay attention to behavioural signals. Branded search growth and direct traffic are two of the most underused indicators of SEO impact. They deserve a spot in your reporting alongside rankings and sessions.
Lastly, build some kind of model for the revenue you can’t directly see. Even a rough RIF calculation gives stakeholders a much clearer picture of what SEO is contributing.
If you need a hand getting any of this in place, whether that’s a content strategy built for AI visibility, a technical SEO review, or a reporting setup that actually reflects how search works now, our SEO team is always up for a chat.
This article is based on Jack Lingard’s Brighton SEO 2026 talk, From Clicks to Influence: Measuring SEO in a Zero-Click, AI-Driven World. You can connect with Jack on LinkedIn.
