More financial services firms are noticing a strange pattern in their analytics. Website traffic looks stable or is even growing, but the paths that led buyers there have quietly disappeared. Direct traffic climbs. Conversions arrive with no referral source attached. Sales teams report that prospects show up already familiar with the firm, its services, and its reputation, yet marketing cannot explain how that familiarity was built.
The data confirms what these teams are sensing. Recent industry research puts the share of B2B buyers using AI tools at some point during a purchase at over 90 percent, and separate research suggests buyers complete roughly 61 percent of their research before ever reaching out to a vendor. AI-generated search summaries, review platforms, industry forums, third-party publications, analyst commentary, and word of mouth now shape how B2B buyers evaluate financial services providers long before a single website session occurs. Much of that research activity, often called the dark funnel, never appears inside a CRM or analytics platform, leaving CMOs and analytics leaders with an incomplete picture of what is actually driving the pipeline.
For stakeholders responsible for proving marketing's contribution to revenue, this creates a real challenge. It is difficult to defend budget, optimize channels, or plan strategy around a buyer journey that analytics tools cannot fully see, especially when that journey now includes stakeholders and platforms most reporting was never built to track. Understanding why that visibility gap is widening, and what it signals inside a firm's data, is the first step toward closing it.
The B2B Buyer Journey No Longer Starts on Your Website
Financial services buyers rarely begin their research with a direct visit to a provider's site. Decision makers evaluating wealth management, institutional investing, lending, or compliance solutions increasingly start with an AI-generated answer, a recommendation inside a private community, or a mention in a trade publication.
By the time these buyers land on a website, much of the evaluation has already happened through zero-click research elsewhere. They arrive with informed questions, familiarity with competitors, and a shortlist already forming. A director evaluating treasury management platforms, for example, might spend weeks reading comparison threads, asking an AI assistant to summarize vendor differences, and scanning analyst commentary before a single visit to any vendor’s site takes place.
That shift changes what a website visit actually represents. It is no longer the beginning of the relationship. It is closer to a confirmation step, where a buyer checks whether the firm matches the impression already formed somewhere else. Marketing teams still measuring success primarily through top-of-funnel website traffic are measuring the wrong end of the journey.
Financial Services Buying Groups Add Another Layer of Complexity
Unlike a single decision maker researching a purchase on their own, most B2B financial services deals move through a buying group. Industry research puts the average size of a B2B buying group at roughly eleven stakeholders, each weighing in before a vendor is selected. In financial services, that group often includes compliance, risk, procurement, and IT alongside the primary business sponsor, and each of those roles trusts different sources to answer their questions.
This matters for visibility because a firm's website and sales team may only ever interact with one or two members of that group. The rest complete their own research through AI tools, review sites, peer conversations, and internal documentation review, all before the group reaches consensus. A visibility strategy built around a single buyer persona will miss most of the group doing the actual evaluating.
Compliance and risk teams, for example, often research regulatory history, data handling practices, and past enforcement actions through public filings and industry publications rather than a vendor’s marketing page. Procurement may lean on analyst comparisons and peer benchmarking data instead. A messaging strategy built only for the primary business sponsor leaves the rest of the group forming opinions based on outside sources, which is not always accurate or favorable.
Signs Your Firm Is Losing Visibility Into Buyer Research
Several patterns tend to surface once a firm's analytics stop reflecting how buyers actually behave.
Qualified leads converting with no identifiable source, campaign, or referral, often described internally as leads that came from nowhere
A steady rise in direct traffic that cannot be traced to any known channel, frequently misread as brand awareness working when it may actually reflect research happening somewhere marketing cannot see
Sales conversations referencing content, reviews, or commentary marketing never published, a sign that off-site sources are shaping perception before the first call
Reporting that credits "organic" or "direct" traffic for an outsized share of pipeline, which usually means the true source of influence is being absorbed into a catch-all category
Growing difficulty explaining which efforts influenced a closed deal, particularly in longer sales cycles where multiple stakeholders researched independently
None of these signs mean marketing has stopped working. They usually mean the measurement model has not kept pace with how buyers now research. Left unaddressed, this gap tends to widen quietly, since each unattributed win looks like a success rather than a blind spot.
Why Do Analytics Platforms Miss the Modern Research Process?
Platforms like Google Analytics 4 excel at tracking on-site behavior, but they were never designed to capture research that happens on third-party platforms. When a buyer reads a comparison on a review site, watches a video breakdown on YouTube, or asks ChatGPT, Perplexity, Gemini, or Copilot to summarize the top providers in a category, none of that activity gets logged against the eventual conversion.
Cookie limitations, privacy regulations, and the sheer number of research surfaces compound the problem. A prospect might interact with a brand across five or six different channels before ever submitting a form, and most of that interaction is invisible to standard attribution models, a gap Marcel Digital's analytics team sees repeatedly when auditing financial services accounts. This is part of why understanding AEO and AIO differences has become essential for financial services marketing teams trying to close the gap.
Being Mentioned by AI Is Not the Same as Being Cited
There is an important distinction most firms miss entirely. AI tools can mention a brand by name, drawing on what they learned during training, without ever citing that brand's website as a source during an actual search. A firm might come up in conversation inside ChatGPT purely from reputation, while Perplexity or Google AI Overviews never pull a single link from that firm's site when answering the same buyer question.
For financial services firms, that gap is worth tracking on its own. Being remembered by an AI model is not the same as being surfaced as evidence when a buyer asks a direct comparison question. The firms closing this gap tend to publish specific, evidence-backed answers to the exact questions buying groups ask, rather than general brand content that AI has little reason to cite.
Consider a wealth management firm with decades of brand recognition. An AI assistant might mention that firm by name when asked to list established players in the space, drawing purely on reputation. The same assistant, when asked to compare specific service offerings or fee structures, might cite only competitors whose websites contain structured, retrievable answers to that exact question. The firm is known, it is not necessarily found.
How Do Buyers Actually Research Financial Services Providers Today?
Buyer research in financial services now spans a wide set of channels, often overlapping and repeating throughout a longer decision cycle.
AI-generated summaries from tools like ChatGPT, Gemini, and Google AI Overviews, which synthesize information from multiple sources into a single answer
Peer and analyst review platforms such as G2 and TrustRadius, where credibility often carries more weight than a firm's own marketing claims
Third-party publications and trade press, which shape early awareness before a buyer ever searches by name
Forums and community discussions, where practitioners share candid opinions about providers they have actually used
Direct referrals and word of mouth from existing clients, partners, or colleagues, which frequently explain unattributed direct traffic
Each of these touchpoints contributes to a buyer's confidence before they take a visible action, which is exactly why so much of this influence never shows up in a dashboard.
Off-Site Trust Signals Are Doing More Work Than Marketing Realizes
Trust signals that live outside a firm's own website, client testimonials on third-party platforms, expert commentary picked up by publications, and favorable mentions inside professional communities now carry significant weight in a buyer's evaluation. For financial services organizations navigating regulatory scrutiny and long sales cycles, these external signals often matter more than on-site content because they come from sources buyers perceive as independent.
Firms that treat these channels as outside marketing's scope are missing a meaningful part of the buyer journey. Understanding AI search visibility requires expanding beyond pageviews and rankings to include brand mentions, citations, and sentiment across the platforms where buyers actually spend their research time, including industry forums and private communities.
This dynamic is especially pronounced in a heavily regulated industry. A single detailed review describing how a firm handles a compliance audit can carry more weight with a risk-averse buyer than pages of polished marketing copy. Firms that ignore these channels are ceding the conversation to whoever shows up in them, competitor or not.
How Firms Are Closing the Visibility Gap
Firms making progress on this problem tend to focus on a few specific actions rather than trying to fix everything at once.
Auditing how the firm currently appears across ChatGPT, Perplexity, Gemini, and Google AI Overviews for the comparison questions its buying group actually asks, rather than generic queries a marketing team assumes buyers use
Marcel Digital helps financial services clients begin by publishing structured content built for AI retrieval, using clear, evidence-backed answers rather than general brand messaging
Maintaining an active presence on the review platforms buying groups actually trust, rather than treating reviews as an afterthought
Monitoring brand mentions separately from citations, since AI platforms behave differently across the two
None of these steps require abandoning traditional SEO. They add a second layer of visibility built for the platforms, increasingly forming buyer shortlists before a vendor conversation ever happens, and firms that build both layers together tend to compound their advantage rather than split their effort.
Why Does Closing the Visibility Gap Matter Strategically?
For CMOs, analytics leads, and digital strategy leaders, this is not a reporting inconvenience. It directly affects how confidently leadership can invest in growth. If a significant share of the pipeline is arriving through channels marketing cannot see or measure, budget decisions get made on incomplete information. Successful channels may go underfunded while overcredited ones absorb more investment than they have earned.
The firms gaining ground are building measurement frameworks that account for this reality, incorporating offline conversion tracking and signals from AI visibility, off-site mentions, and assisted conversions into how they judge performance. That shift changes the conversation from justifying spend to demonstrating real influence across the entire buyer journey.
How Marcel Digital Helps Financial Services Firms Regain Buyer Visibility
Marcel Digital helps financial services organizations rebuild visibility into how buyers actually research and evaluate providers. Our team combines Answer Engine Optimization, attribution modeling, and analytics strategy to surface the off-site channels influencing pipeline, from AI-generated search summaries to third-party publications and community discussions.
We work with CMOs and analytics leaders to close the gap between what standard analytics reports and what is actually happening across the buyer journey, connecting dark funnel activity to measurable outcomes wherever possible. This includes auditing how a firm currently appears across AI platforms, review sites, and industry forums, then building a strategy to strengthen and track that presence over time.
If your financial services firm is seeing more unattributable traffic, more informed inbound conversations, or less confidence in what is actually driving pipeline, contact Marcel Digital today to learn how we can help you see, measure, and grow the buyer journey your current analytics are missing.
