SEO is transitioning from rank, click, and convert to get scraped, summarized, and recommended.
We’ve entered the era of invisible attribution known as the dark SEO funnel — where traditional top-of-funnel (TOFU) traffic is collapsing, the messy middle is getting messier, and SEO success can no longer be measured by clicks.
Up to 84% of B2B buyers now use AI for vendor discovery, and 68% start their search in AI tools before they ever touch Google, new data from Wynter reveals. Buyers are using ChatGPT to narrow down their options and Google to verify.
If you’re still judging SEO success by traffic, you’re optimizing for a model that no longer exists. Here’s how to brace for impact.
Defining the dark SEO funnel
Marketing leaders are already familiar with the concept of dark social — the idea that buyers share content in private channels (Slack, DMs, WhatsApp) where tracking pixels can’t see them. Dark SEO is the algorithmic search equivalent.
In dark social, a peer recommends the brand, and the buyer Googles it. In dark SEO, an LLM recommends the brand, and the buyer then Googles it.
The training data answer summaries are invisible to traditional analytics:
Ingestion: An LLM consumes your content and understands your entity.
Recommendation: A user asks a problem-aware question (e.g., “best tools for X”), and the LLM recommends your brand as a solution.
Verification: The user, now aware of you, goes to Google and searches for your brand name to validate the choice.
The credit conveniently goes to “direct” or “branded search.” Meanwhile, the work was done by SEO or GEO.
This is the dark SEO funnel: where discovery happens in a non-click environment, attribution gets wiped out, and SEO looks like it’s “underperforming” even while it’s actively filling the pipeline.
The role of Google has fundamentally changed. As one surveyed CMO explained:
“I use Google only if I have certainty about which specific software types or products I want.”
AI is for evaluating. Google is for verifying. This is a radical shift.
Dig deeper: Rand Fishkin proved AI recommendations are inconsistent – here’s why and how to fix it
The strategic shift: Brand mentions vs. LLM citations
Winning in the dark funnel era requires an understanding of two types of visibility.
In traditional SEO, the goal was clicks from a blue link. In AI search, the goal is inclusion, which happens in two different ways.
Brand mentions
This is when an LLM explicitly names your company as a solution.
Users ask: “Who are the top enterprise ABM platforms?”
AI answer: “The top recommendations are 6sense, Demandbase, and [Your Brand].”
You can’t “technical SEO” your way into this. It’s driven by entity strength — how often your brand appears alongside relevant topics across the web — and influenced by PR, podcast appearances, customer reviews, and what we have long coined as surround sound SEO.
Dig deeper: How to earn brand mentions that drive LLM and SEO visibility
URL citations
This is when an AI tool links to your content as a source of truth because you provided unique data or you were simply the most relevant result.
Users ask: “What is a good NRR benchmark for Series B SaaS?”
AI answer: “According to [Your Brand]’s 2026 State of SaaS Report, the median NRR for Series B companies has dropped to 109% due to budget tightening.”
This is driven by information gain. If you publish unique data, contrarian views, and proprietary information, the AI cites you to ground its answer.
LLMs learn from the ecosystem. If you want to be recommended, you should optimize around the most relevant neighborhoods:
Review sites: G2, Capterra (where AI verifies sentiment).
Communities: Reddit, Quora (where AI verifies consensus).
Third-party publishers: Industry blogs and news sites.
If AI sees your brand mentioned consistently across a relevant neighborhood, it assigns you the authority to be recommended.
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How to measure SEO in the dark funnel era
When traffic is no longer the north star KPI, leadership still wants proof that SEO is working.
The strongest teams are pivoting to defensible signals that track revenue and reputation rather than just clicks.
If brand discovery happens in AI, but the last click conversion happens on Google, your attribution model is fundamentally broken.
Metrics to de-emphasize
Broad informational traffic: “What is X” searches are now answered by AI. Losing this traffic is often a sign of efficiency.
Search impressions: This is tough to justify. I’ve never met a CMO that places high importance on impressions.
Isolated rankings: Ranking No. 1 for a given keyword doesn’t guarantee your brand will get recommended.
CTR: In 2023, Michael King accurately predicted the 10 blue links will get fewer clicks because the AI snapshot will push the standard organic results down. The 30-45% click-through rate (CTR) for Position 1 will drop precipitously.
Metrics to elevate
Recommendations from LLMs: Are you visible for high-intent, comparison queries (e.g., “best CRM for enterprise”)? These are the queries users perform after the AI has educated them.
Branded traffic as a leading indicator: This is a great proxy for dark funnel success. Non-branded visibility leads to brand searches in this new era. And branded searches lead to conversions.
Product and solutions page traffic: Generally, this content is less volatile and less susceptible to traffic losses — therefore performance should remain level.
Landing page conversion rates: If you’re getting less traffic, but higher-intent visitors, there should be an improvement in conversion rates.
Self-reported attribution: This isn’t always perfect, but it’s directionally reliable. When website leads fill out forms asking “how did you hear about us?” they should be citing things like “online search” or “ChatGPT” or “Perplexity.”
The most powerful slide you can show in a meeting is this:
Informational traffic: ↓ (Declining)
Demo conversion rate: ↑ (Rising)
Pipeline: → (Stable or growing)
That isn’t a decline. That is what I call the Great Normalization of SEO. You are trading high-volume noise for high-intent signal.
Dig deeper: How to get cited by ChatGPT: The content traits LLMs quote most
Brand visibility is the trophy, traffic is just the byproduct
To thrive in the dark funnel era, you must stop playing the old SEO game.
The brands that adapt aren’t chasing cheap clicks. They will dominate inclusion, recommendation, and commercial intent— even as the modern SEO funnel grows darker.
Here’s your mandate for 2026:
Narrow your focus: Track 30-50 high-intent money prompts instead of thousands of vanity keywords.
Surround sound marketing: Invest in third-party visibility and narrative control (surround sound SEO), not just your own domain.
Information gain: Aim to blend search-driven topics with opinionated, research-backed, information-gain insights.
Highlight revenue metrics: Report on the organic contribution to pipeline, not just click volumes.
As we saw with dark social, CTR and attribution from social platforms declined with the rise of zero-click marketing. It’s now time to concede defeat on traffic as we apply those same learnings to dark SEO.