Posts in category: Lead Generation

Back in April, I spoke at BrightonSEO about the concept of E-E-A-T 2.0: the trust layers that I believe now drive visibility in modern search.

As someone who works heavily in YMYL and regulated industries, the shift over the last 12 months is something we have had to be at the forefront of. In sectors such as finance, insurance, legal and health, trust has never been a nice-to-have. But with so many changes happening at once – including what we have learned about NavBoost, the growth of AI Overviews and the sheer volume of AI-generated content entering the web – we almost need to start thinking about trust in a different way.

For years, E-E-A-T was often treated as a fairly contained on-page exercise. Add a detailed author biography. Improve the About page. Include references. Display awards or accreditations. Add a reviewed-by line. All of those things can still be useful, but they are no longer enough on their own.

The bigger question today is not simply whether a website claims to be credible. It is whether Google, an AI system and, crucially, a real user can verify that credibility elsewhere. That is the difference between traditional E-E-A-T and what I call E-E-A-T 2.0.

Relevance gets you retrieved; trust determines whether you stay

One of the simplest ways to understand this shift is to separate relevance from trust. Relevance helps a search engine decide whether a page is a possible answer to a query. Trust helps it decide whether that page is a safe, reliable and worthwhile answer to retain near the top of the results.

Two pieces of content can match search intent equally well. They can cover the same subtopics, use a similar structure and demonstrate comparable semantic relevance. Yet one may remain stable through updates while the other gradually declines. We see this frequently when auditing websites that have rewritten and expanded content several times but still cannot recover the visibility they once had.

The instinct is often to edit the copy again. Add another section. Increase the word count. Improve the optimisation score. In reality, the page may not have a content problem at all. It may have a trust problem.

Google does not need more content for the sake of it. AI has removed many of the old production constraints, so publishing volume is no longer a meaningful proxy for value. At the same time, scaled content abuse, site reputation abuse and increasingly sophisticated spam have made it necessary to distinguish between a page that looks authoritative and an entity that can genuinely be trusted.

This is especially important in YMYL search. When the wrong answer could affect somebody’s health, finances, legal position or safety, the least risky answer can be more valuable than the longest or most aggressively optimised one. Trust is, in many ways, risk management at scale.

E-E-A-T is a framework, not a score

It is worth clearing up a common misconception here: E-E-A-T is not a single ranking factor. There is no visible trust score, expertise dial or authority switch that an SEO can turn up. It is better understood as a quality-evaluation framework – a way of thinking about the signals that ranking, spam, review and helpful-content systems may use to approximate experience, expertise, authoritativeness and trust.

That distinction matters because checklist thinking encourages cosmetic fixes. A framework asks whether the evidence is coherent across the whole ecosystem. An author biography is useful only if the person exists beyond that biography. An award claim matters only if the award can be independently confirmed. A statement such as ‘trusted by thousands’ is stronger when reviews, demand and third-party references support it.

E-E-A-T 2.0 is therefore less about displaying signals and more about making them verifiable. Can the identity be cross-referenced? Can the claim be substantiated? Can the reputation be independently corroborated? Trust is not what a brand says about itself. It is the probability created when multiple sources tell the same credible story.

What NavBoost changes about the trust conversation

The information that emerged through the US antitrust proceedings helped bring behavioural signals into much sharper focus for the SEO industry. NavBoost showed that aggregated click and interaction data can be used over time. This is not the same as saying one click instantly moves a result up or that Google keeps a permanent memory of every individual search. The more useful takeaway is that patterns of user choice and satisfaction can reinforce which results consistently meet an intent.

That has a direct relationship with trust. When people are uncertain, they often choose a brand they recognise, a source they have used before or a result that appears credible. If users repeatedly select a particular domain, do not immediately return to reformulate the query and continue to choose that brand across related searches, those behaviours create a form of reinforcement.

Trust drives choice; choice can reinforce trust. This creates a flywheel: stronger trust supports visibility, visibility creates more opportunities for selection, selection generates behavioural reinforcement and that reinforcement can contribute to greater stability.

It also explains why shortcuts tend to plateau. A page can win a temporary relevance battle through optimisation, but if the brand behind it is unknown, poorly corroborated or repeatedly passed over, there is no strong reinforcement loop. Sustainable visibility is not just about earning the initial ranking. It is about becoming the result that people expect, recognise and choose.

Trust is becoming contextual

Historically, publishing on a strong domain could allow a new section to inherit a significant amount of that domain’s authority. That assumption has become much less reliable. Google’s response to site reputation abuse shows a clearer willingness to evaluate sections according to their own purpose and relationship with the wider site.

A coupon directory, betting subfolder or third-party comparison hub should not automatically inherit trust simply because it sits on a well-known publisher. The same principle applies more broadly: authority is not universal. A brand can be highly credible in one subject area and have very little legitimate authority in another.

This is why generic high-authority links are not always the answer. A mention from a publication closely aligned with the topic can do more to clarify what an entity is trusted for than an unrelated link from a website with an impressive metric. Visibility without contextual relevance can build awareness; it does not necessarily build defensible topical trust.

The five layers of an E-E-A-T 2.0 trust graph

To make this practical, I assess trust across five connected clusters: identity, provenance, reputation, compliance and demand. No single layer proves trust on its own. The strength comes from triangulation.

Identity asks whether the people and organisation behind the website are clear and cross-referencable. Are there real experts attached to the content? Do their biographies, credentials and experience remain consistent across the website, professional profiles, conference appearances and third-party citations? Authors increasingly operate as entities in their own right. A credible, visible expert can strengthen a website; an anonymous or unverifiable author can undermine it.

Provenance is about origin and accountability. Who created the information? What qualifies them to do so? Where did the data come from? Was the content reviewed, and how is it kept up to date? Editorial standards, methodology disclosures, named reviewers, update histories and transparent sourcing turn a claim into something that can be checked. In an environment flooded with generated content, accountable provenance is a meaningful differentiator.

Reputation is the independent evidence that other people recognise, cite, review or endorse the entity. This could include relevant media coverage, industry citations, expert commentary, association membership, awards, reviews or speaking engagements. The context matters as much as the volume. Google is not only asking, ‘Is this brand trusted?’ It is asking, ‘Is this brand trusted for this subject?’

Compliance covers both formal governance and publishing intent. In regulated sectors, visible licences, policies, claims processes, complaints procedures and appropriate disclaimers matter. But compliance is also reflected in the site’s architecture. Thousands of low-value pages created primarily to capture traffic can build what I think of as trust debt, regardless of whether they were produced by people or AI. The issue is not the tool; it is the intent and value at scale.

Demand is the behavioural expression of trust. Are people searching for the brand by name? Are they combining the brand with a product or service category? Do they navigate directly to it, return to it and choose it repeatedly? Brand demand is difficult to manufacture convincingly because it reflects genuine preference. It shows that trust exists beyond the copy on a landing page.

AI Overviews raise the threshold again

AI Overviews and other answer-led search experiences compress the traditional journey. In a standard results page, a brand may have several opportunities to earn a click across the ten blue links and additional SERP features. In an AI-generated answer, visibility and selection can happen in the same step. A source is either considered suitable to support the response or it is absent from the answer.

That changes the optimisation goal. Keyword coverage still helps a system retrieve and understand content, but citation eligibility becomes more important than keyword repetition. Trust density becomes more valuable than content volume. A concise page with clear provenance, original evidence, consistent entity signals and strong external corroboration may be more useful to an answer engine than a long article that merely restates what already exists.

This does not mean every page should be written for a machine-generated citation. It means brands should create information that deserves to be selected: original research, clearly attributed expertise, transparent methodologies, distinctive first-party insight and claims that can be independently checked.

How to turn trust into an SEO strategy

The best place to start is a trust audit. Score the brand from zero to five across identity, provenance, reputation, compliance and demand. Then prioritise gaps according to risk, competitive disadvantage and ease of verification. A regulated financial-services website with unclear authorship should be treated differently from an ecommerce brand with strong reviews but limited niche authority.

From there, the work falls into three areas: build, earn and measure.

Build the infrastructure that allows trust to exist consistently. That can include editorial standards pages, expert hubs, transparent update logs, research centres, policy pages and methodology disclosures. These are not decorative additions. They explain how knowledge is produced, reviewed and maintained across the organisation.

Earn the external signals that a website cannot create for itself. Focus on topic-specific mentions, industry citations, association memberships, speaking visibility and expert commentary. Digital PR has an important role here, but the objective should not be a large number of loosely relevant links. Hyper-relevant coverage helps search systems and users understand exactly where a brand has legitimate authority.

Measure the signals that show trust is strengthening. Rankings and organic traffic still matter, but they are lagging indicators. Track branded search growth, the quality and relevance of mentions, entity consistency, SERP-feature visibility and citation presence in AI answers. Look at whether ranking volatility reduces over time. The question is not simply whether more people saw the brand; it is whether more credible sources validated it and more users chose it.

The question every brand should ask

If your website disappeared tomorrow, would the rest of the web still confirm your expertise?

It is a deliberately uncomfortable question, but it quickly exposes the difference between claimed authority and verified authority. If the only evidence that your authors are experts, your service is trusted or your research is robust sits on pages you control, the trust graph is fragile.

The future of SEO is not the end of optimisation. Technical accessibility, relevance, information architecture and excellent content remain essential. But they now operate inside a wider system of verification. A page needs to be understood, then believed; a brand needs to be discoverable, then chosen.

For organisations in YMYL and regulated industries, this is not a distant trend. It is already shaping the way we audit, plan content, approach digital PR and measure success. The brands most likely to build durable visibility will be those that stop treating E-E-A-T as an on-page checklist and start treating trust as infrastructure: something built internally, validated externally and reinforced through real user behaviour.

Relevance may get you retrieved. Trust determines whether you stay – and, increasingly, whether you are selected at all.