The sixth and final post in our BrightonSEO 2026 series. Read the full series: Hub post | Part 2: Why your traffic is falling | Part 3: AI brand mentions | Part 4: Audience-first content | Part 5: Technical SEO | Part 6: Brand authority
The sixth and final post in our series, following on from our attendance at BrightonSEO, is probably the one anyone who has been following this series has been waiting for – how to prove the value of SEO in a world where the metrics we have always relied on seem to be declining. This was definitely not only a theme that ran through a lot of the presentations, but was also something discussed by attendees in many of the break sessions and even over a pint at the end of the day. It’s definitely a little scary out there when you have seen consistent year-over-year organic traffic growth eroded away almost overnight by the sudden influx of AI Overviews in SERPs that you have dominated for years, but there is hope.
Truthfully, this is the one area we are still working on and trying to establish new reporting methods. It’s difficult to change something that has been a core staple of the work you have been doing for the past 12 years – in my case, and longer in Paul’s. However, the talks we attended provided some really good insights, and these are now conversations we are starting to have with clients as we run through our 12-month strategy cycles and look ahead to the goals we need to set for next year – which inevitably will move away from traffic and rankings and start to focus on the things that matter most to businesses. The bottom line.
I want to be upfront about something in this post that I haven’t been quite as explicit about in the others: we don’t have all the answers yet. Nobody does. The measurement landscape is shifting as fast as everything else, and the honest consensus at BrightonSEO was that the industry is in a collective process of rebuilding its reporting frameworks from scratch. What we can share is the thinking we found most useful, the frameworks that gave us the clearest direction, and the conversations we’re now starting with clients as a result.
Why the Measurement Crisis Is Real – And Why It Matters So Much
James Yorke, an Independent Consultant, named it directly in his session – SEO Has a Measurement Crisis – and the title alone generated a queue outside the auditorium. There is something both validating and alarming about an entire industry sitting down together and collectively admitting that its primary metric is broken.
Here’s the problem in its simplest form. GA4 has a cookie rejection rate of approximately 60% – meaning that a significant proportion of actual user behaviour is simply not recorded. Add to that the rise of dark social (people sharing links through messaging apps and email that register as direct traffic), the AI-abstracted user journey (where someone researches via ChatGPT before arriving at your website with no traceable path), and the zero-click phenomenon where value is delivered but no visit ever happens – and you start to understand why the dashboard that felt reliable two years ago now feels like it’s describing a partial, distorted version of reality.
Tom Capper from Moz’s STAT research reinforced this from the rankings angle. Position #1 in Google – the metric that has anchored virtually every SEO report for two decades – is now only visible above the fold on desktop roughly 65% of the time. On mobile, given the layers of ads, AI Overviews, and map packs sitting above it, it’s often not visible at all without scrolling. A ranking that can’t be seen isn’t generating the clicks the model assumed it would.
James Yorke’s observation from the session that has stayed with me most: “We need to be looking at overall visits and traffic – we can’t really look at SEO anymore. Especially when looking at last-click attribution.” That’s not a defeatist statement. It’s an honest one. Last-click attribution – the model that assigns 100% of conversion credit to the final touchpoint before a purchase – has always been an oversimplification. In an environment where AI platforms, social search, and organic Google results are all influencing the same purchase decision through different touchpoints, it has become almost meaningless as a measure of SEO’s contribution to a business.
Paul’s take:“James’s session was one of those genuinely important ones because he wasn’t offering a simple replacement. He was making the case that the whole measurement paradigm needs to shift, from trying to prove SEO’s contribution through a single metric to building a picture of SEO’s role across the entire customer journey. That’s a harder conversation, but it’s the right one.”
Laura McInley’s Session: The Most Directly Useful Talk on Reporting
Paul attended Laura McInley’s (Oban International) session – No Clicks? No Problem! Reporting When Traffic Declines – and it was, by his assessment, the talk most immediately applicable to how we report to clients right now. Not a theoretical framework for the future. A practical approach for the conversations happening today.
Her starting point: the anxiety clients feel about declining traffic is, in almost every case, a reporting problem rather than a performance problem. If the only number on the monthly report is sessions, and sessions are falling because of structural shifts in how search works that have nothing to do with the quality of the SEO work, the report is creating a false impression of failure. It’s not the traffic that’s wrong. It’s the report.
Her recommendation was to build a layered reporting structure with three distinct levels, which maps closely to the Presence/Preference/Performance model that James Yorke also advocated:
Presence asks: are we actually visible where our audience is looking? This includes traditional keyword rankings, but now extends to SERP feature ownership (featured snippets, local packs, AI Overviews appearances), AI platform mentions, and visibility in the specific categories and queries that matter most commercially. Presence is about reach — is the brand being seen?
Preference asks: when people do encounter us, are they choosing us specifically? The signals here are branded search volume (are more people searching for you by name?), direct traffic (are people returning without needing to search?), and assisted conversions (are organic touchpoints showing up in multi-touch attribution paths even when they’re not the final click?). Preference measures pull — the degree to which brand-building work is creating genuine affinity.
Performance asks: are we converting that attention into business outcomes? This is where sessions, leads, sales, and revenue still live — but as the output layer, not the only layer. Performance is meaningful when you know that Presence and Preference are working underneath it.
The power of this model is that it gives declining traffic a context. If Presence is stable, Preference is growing (branded searches up, direct traffic up), and Performance conversion rates are improving, then falling sessions is not a crisis. It’s the expected consequence of structural changes to how search works, in an environment where the work is still clearly paying off.
Paul’s take:“What I appreciated about Laura’s approach is that it doesn’t require you to throw out your existing reporting entirely. You’re adding layers to what you already measure, not replacing it. That makes it a much easier conversation to have with clients – you’re not telling them everything they’ve been looking at is wrong, you’re giving them more context for what it means.”
Jack Lingard and the Revenue Influence Factor
The most ambitious measurement framework presented at BrightonSEO came from Jack Lingard, Head of Search @ Anything Is Possible, whose session introduced the Revenue Influence Factor (RIF) – a method for attributing indirect revenue impact to organic work using causal and regression analysis.
This is worth explaining carefully, because it addresses the core frustration of every SEO who has ever tried to justify their work to a finance director using last-click data.
Last-click attribution doesn’t capture the full value of SEO. A user who finds an article through organic search, reads it, leaves, comes back three days later via a Google Ad, and then converts, shows up in the data as a paid media conversion. The organic touchpoint that started the journey gets zero credit. Multiply this across thousands of user journeys, and you end up with a systematic undervaluation of organic work relative to paid channels.
The Revenue Influence Factor attempts to solve this by modelling the relationship between organic visibility and revenue outcomes, not through last-click attribution, but through statistical analysis of how changes in organic performance correlate with changes in revenue over time. It’s not a perfect measurement – Jack was clear about this – but it provides a directionally accurate estimate of the revenue value that organic work is contributing even when that contribution doesn’t show up cleanly in standard attribution reports.
This matters most for the conversation every SEO team dreads: when traffic drops but the underlying business performance is holding, how do you demonstrate that the SEO work is still delivering value? The RIF framework gives you a way to show the revenue influence of organic visibility beyond what last-click data captures.
I noted in the session to follow up on Jack’s slides for the specific RIF methodology – this is one of the frameworks I want to understand in detail before we build it into our own reporting.
Judith Lewis: Report on Money. Full Stop.
Judith Lewis’s session – LLM Visibility and AI-Driven Search: What Replaces Rankings as the Primary KPI? – was one that Paul and I both attended independently and both flagged in our notes for the same reason: she said the thing that most SEOs think but few say out loud.
Her message on reporting was direct enough to quote: “Report on money. C-suite executives prioritise financial metrics above all else.”
Not impressions. Not sessions. Not keyword rankings. Not AI citation counts. Money. Revenue, cost per acquisition, profitability, and, particularly for businesses where demonstrating value is a challenge, the cost of not doing the work (what would the equivalent paid media spend need to be to deliver the same reach?).
This is the shift that is hardest for SEOs to make, because we have spent years developing expertise in the metrics of our own craft, and the natural instinct is to report on what we know, not to translate it into the language our clients’ leadership teams actually care about. But Judith’s point is right: if a CEO or a CFO receives a monthly report that leads with organic sessions and average position data, they have no real framework for deciding whether that work is worth the investment. If they receive a report that shows the cost per acquired customer through organic channels, the revenue influenced by organic touchpoints, and the brand visibility trends that indicate whether the business is growing its share of mind, they can make a real commercial decision.
Brittany Deller, Senior Marketing Analytics Manager at Connective3’s complementary session, How to Make Measurement Impossible to Ignore, landed on the same point from a communication angle. Her argument: vague reporting stifles action. A report full of metrics the client can’t act on trains them to ignore reports. A report that says “this quarter we reduced your cost per lead by 15%, and here is the risk to that if we reduce the content investment” trains them to read reports and act on them.
The practical shift here is not just about which numbers you present. It’s about what those numbers are connected to – the business decision they inform, the risk they quantify, the opportunity they illuminate. That requires knowing enough about each client’s business model to translate SEO metrics into financial language. It’s harder work than pulling a traffic graph. It’s also much more valuable.
The Quick Win That Every Client Report Needs Right Now
One of the most immediately actionable recommendations from the BrightonSEO measurement sessions came from the agency roundtables and was reinforced by several individual speakers: separate blog and informational traffic from commercial landing page traffic in all reporting, immediately.
This sounds simple, and it is. But the impact it has on how performance is interpreted is significant.
Blog and informational content traffic has declined the fastest and most dramatically in the AI Overview era – partly because AI platforms now answer many of the questions that informational content was written to address, and partly because the content formats that work well for AI (comprehensive, well-structured guides) are also the formats that AI Overviews extract from, reducing click-through. If your blog is a significant portion of your total traffic, and your total traffic is down, the report makes it look like everything is declining.
But commercial landing pages, the product pages, the service pages, the category pages, the conversion-focused content that is closest to actual purchase decisions, are often holding up much better. Traffic to these pages is more intent-driven, less exposed to AI Overview displacement, and more directly connected to revenue. If you’re conflating blog traffic and commercial traffic in a single “organic sessions” number, you may be creating panic about a decline that is real but commercially insignificant, while missing the signal in the data that actually matters.
Daniel Cartland’s finding from his client case study – the blog driving 50% of sessions but only 7% of revenue – is a vivid illustration of exactly this. The sessions number looked impressive. The revenue attribution told a completely different story.
Sam Davis and ELO Scoring: A Better Way to Measure Competitive Position
One of the more technically interesting measurement innovations from BrightonSEO came from Sam Davis, whose session on LLM brand management also touched on a competitive analysis methodology he’s been developing.
ELO scoring, borrowed from chess ranking methodology, is an alternative to point-in-time keyword ranking as a measure of competitive performance. Rather than asking “where do we rank for these 100 keywords today?”, ELO scoring asks “how has our competitive position changed relative to our competitors over time, across a broader set of competitive signals?”
The advantage of this approach for reporting is fairness and context. A point-in-time ranking snapshot can be influenced by algorithm updates, seasonality, or measurement timing in ways that make it a noisy indicator of actual competitive performance. ELO scoring tracks direction of travel more reliably, which is often the more meaningful signal – is our competitive position improving, holding, or weakening, and how does that compare to the brands we most need to outperform?
For location-based businesses and enterprise clients with large, complex keyword footprints, this kind of time-weighted competitive analysis can be significantly more informative than the traditional ranking report. It’s on our list to explore further, particularly for clients where competitive position is a primary concern.
The Tools Worth Knowing About for AI Measurement
One of the genuinely difficult aspects of measuring SEO performance in an AI world is that the tools haven’t fully caught up with the landscape yet. This was acknowledged repeatedly at BrightonSEO – we are in an interim period where the measurement questions are clear but the tooling to answer them comprehensively is still developing.
That said, here are the tools that came up most consistently in sessions and roundtable discussions as being worth evaluating:
SE Ranking was recommended by Judith Lewis specifically for tracking LLM visibility and sentiment – how your brand is being represented across major AI platforms over time. It gives a view of whether your AI presence is improving, what the sentiment profile looks like, and how you compare to competitors within the AI answers being returned.
Waikay was highlighted for AI prompt tracking – the ability to understand which prompts are surfacing your brand in AI responses and which aren’t. Paul noted it directly: “Waikay is pretty good for showing AI information and prompt tracking.”
Profound came up in the context of marketing engineering and AI systems monitoring – referenced by Nick Lafferty as part of a broader AI workflow for brands without large in-house marketing teams. Worth investigating for clients in that position.
Kompote.ai was mentioned by Nick Beck as a tool for AI Inclusion and AI Advocacy tracking – measuring not just whether you’re mentioned in AI responses, but how you’re advocated for relative to competitors. A newer entrant but one to watch.
Log file analysis with Oncrawl (covered in more depth in our technical SEO post) provides the data on which AI crawlers are visiting which pages, which is a useful leading indicator of which content is most likely to be indexed and cited. Not a direct measurement of AI visibility, but a meaningful proxy for it.
The honest caveat: none of these tools provides the kind of comprehensive, reliable AI visibility reporting that GA4 (imperfect as it is) provides for traditional organic performance. The category is developing rapidly, and the “right” measurement stack in late 2026 may look quite different from what we’re describing here. We’ll keep sharing what we’re learning as we go.
What We’re Actually Changing in How We Report
Given that this is an area we’re still working through ourselves, it feels important to be specific about what’s actually changing in how we report to clients, rather than presenting an aspirational framework that doesn’t reflect our current reality.
Here is what we are doing, or actively in the process of implementing:
Separating blog traffic from commercial traffic in all GA4 reporting. This is the quick win and it’s something we’re implementing across all client accounts. It gives a much more accurate picture of performance in the areas that most directly influence revenue.
Adding branded search volume as a core monthly metric. Branded search volume – how many people are searching for a client’s business by name – is one of the clearest leading indicators of brand-building work paying off, and one of the most resistant to AI Overview displacement. We’re adding it as a standard element of every monthly report.
Building AI visibility snapshots into quarterly reviews. Using the mirror test approach we described in Part 3 – checking major AI platforms for brand mentions, category visibility, and sentiment – and tracking how that picture changes over time. It’s manual right now, but it gives clients visibility into an increasingly important channel.
Moving towards cost per acquisition conversations. This is the hardest shift and the one we’re most actively developing. It requires a deeper understanding of each client’s customer economics than a standard traffic report demands. We’re building this into our 12-month strategy review process, starting with the clients where the commercial model is clearest.
Trialling the Presence/Preference/Performance framework as a reporting structure. We’re running this with a small number of clients now to test how it lands, before rolling it out more broadly. Early indications are that clients find it more intuitive and more useful for decision-making than a traditional rankings and traffic dashboard.
Paul’s take:“The one thing I keep coming back to from the roundtables is that the agencies handling this transition best aren’t the ones with the most sophisticated measurement tools. They’re the ones having the most honest conversations with clients about what metrics are still meaningful and what needs to change, and having those conversations proactively, before clients start asking why the numbers are moving in unexpected directions. Getting ahead of this conversation is one of the most important things we can do for clients right now.”
The Bigger Picture: Measurement as a Trust Exercise
I want to close this post, and this series, with something that might be the most important point of all, even though it’s not a framework or a tool or a tactic.
The reason measurement matters so much right now is that it is, fundamentally, a trust exercise between an agency and a client. When we put a metric in a report, we are saying: this is the best available evidence of whether the work we’re doing is worth the investment you’re making. If that metric becomes unreliable, or if the metric we’re reporting on stops reflecting the actual commercial value of the work, we owe it to our clients to say so, and to offer something better in its place.
This is not comfortable. It requires admitting that some of the numbers we’ve been leading with are less meaningful than they used to be. It requires the hard work of building new reporting frameworks before clients ask us to. And it requires ongoing honesty about what we know, what we don’t know, and where we’re still working things out.
That’s the spirit in which this entire series has been written. Not as a definitive guide to an already-solved problem, but as an honest account of what we learned at the best SEO conference in the world, what it changed in how we think, and how we’re translating it into better work for our clients.
If anything in this series has prompted a question, a conversation, or a “we should talk about this for our business” moment, please get in touch. That’s exactly the outcome we were hoping for.
Wrapping Up the Series
Six posts covering the themes that defined BrightonSEO and the Digital PR Summit 2026. We’ve covered why traffic is falling, how to build AI brand presence, what audience-first content looks like in practice, the technical non-negotiables that most websites are getting wrong, why brand authority and digital PR are now the same discipline, and finally, here, how to measure and communicate the value of all of that work in a world where clicks alone can no longer carry the weight we’ve always asked them to.
It’s been a genuinely useful exercise for us to write this series, not just as a way of sharing what we learned, but as a way of forcing ourselves to synthesise three days of intense learning into something actionable. We’re already implementing changes across our client programmes as a result, and we’ll be sharing the outcomes of that work as it develops.
Thank you for reading. If you’ve made it to the end of all six posts, you deserve either a badge or a strong coffee. Possibly both.
Gavin is Digital Hothouse’s SEO lead. He attended BrightonSEO 2026 with Director Paul Thornton, who also attended the Digital PR Summit the week prior.
