Tag: Search Traffic

Hidden ChatGPT Search Pipelines Can Shake Up Citations

I see these two new analyses as an important reminder that ChatGPT citations are not as fixed or transparent as they may look. The sources shown in an answer can change when ChatGPT routes search traffic through different hidden retrieval pipelines.

Research from Chris Green and Suganthan Mohanadasan adds a new wrinkle to AI visibility tracking: the final answer does not reveal how ChatGPT selected its sources. Both researchers found internal source-selection labels, including Labrador, Bright, Oxylabs, and SERP, but those labels sit behind the answer rather than inside the citation cards users see.

Green tested 1,000 prompts up to 10 times each and captured 9,946 completed search runs. In most cases, prompts stayed on one retrieval source. Labrador accounted for 88.1% of primary search sources in his dataset, followed by Bright at 9.9%, Oxylabs at 1.7%, and SERP at 0.3%.

What stands out to me is that 11.6% of prompts changed their primary search source across repeated runs. When that happened, URL overlap dropped from 0.273 to 0.149, and domain overlap fell from 0.265 to 0.155. Green calculated that as roughly 45% lower URL overlap and 42% lower domain overlap.

Mohanadasan looked at the issue from another angle. He inspected two days of raw ChatGPT network traffic from one logged-in Pro account and logged about 1,240 source records across a few dozen searches. He found a result_source field attached to web results, with four observed values: SERP, Labrador, Bright, and Oxylabs.

He described Labrador as including established publishers and reference sites, Bright as tied to Bright Data, Oxylabs as tied to Oxylabs, and SERP as an open-web baseline that appeared mostly in news-style results. While Green’s repeated-prompt test found Labrador dominating his dataset, Mohanadasan saw Bright play a larger role in his sample, especially for commercial, shopping, finance, weather, and local queries.

I also think the skipped-search finding matters. Mohanadasan found that ChatGPT classified some queries before searching, using a turn_use_case field. Some prompts were filed as text and skipped web search entirely, even when they sounded current. In those cases, no page could be fetched, cited, or used as evidence.

Rows of illuminated data cabinets and paper files stretch into the distance, capturing the pressure on marketers to turn fragmented customer data into a smarter performance engine.

More complex “thinking” queries behaved differently. Mohanadasan found that ChatGPT could branch into many searches, including site: probes, pricing checks, and searches for unnamed competitors. That changes which pages can enter the answer process because ChatGPT may search rewritten queries, direct site probes, or follow-up checks instead of the exact phrase a user typed.

Another useful distinction is that fetched does not always mean cited. Mohanadasan separated three outcomes: fetched, cited, and mentioned. A page can be pulled into ChatGPT’s context without being shown to users, cited as support for a specific sentence, or skipped as a source even when a brand is mentioned in the answer.

In his small commercial-query sample, Reddit and YouTube were both fetched often, but Reddit was cited and YouTube was not. He attributed that gap to text availability: Reddit threads expose text, while YouTube search results often provide metadata rather than full video transcripts. Vendor pages were cited for their own facts, such as prices and specs, while third-party pages were more likely to support broader recommendation claims.

The practical takeaway for me is that there is no single ChatGPT visibility result to measure. A page may never be considered if ChatGPT skips search, uses another retrieval source, or finds a clearer third-party page to support the claim.

Both analyses also point back to readability. ChatGPT’s source selection depends partly on what it can retrieve and understand. Mohanadasan found cases where ChatGPT appeared to prefer official pricing pages, then fell back to third-party sources when prices were hidden behind JavaScript or otherwise hard to parse.

Green’s results showed that source routing can change which URLs and domains enter the answer set. That makes plain HTML, crawlable facts, clear pricing and specs, strong third-party coverage, and text-heavy pages more important when source selection depends on retrieval and readability.

Inspired by this post on Search Engine Land.

July 8, 2026
Why ChatGPT Brand Recommendations Drive High-Intent Visits

When I look at Similarweb’s findings, the message is clear: users who saw a brand recommended by ChatGPT were much more likely to visit that brand’s website within a week.

What happened. I found the biggest takeaway in the behavior shift. On average, users were 2.5 times more likely to visit an AI-recommended brand than a direct competitor, based on Similarweb’s study of U.S. desktop activity across finance, travel, and beauty.

Similarweb tracked users who asked ChatGPT industry-relevant questions, received a specific brand recommendation, and then visited either that recommended brand’s website or a competitor’s site within seven days.

To keep the data focused, the study excluded users who had visited the brand’s site in the prior four weeks or had named the brand directly in their prompt.

Recommendations shifted traffic. I saw the same pattern appear across all three industries Similarweb analyzed, which makes this more than a one-category trend.

In finance, after an American Express recommendation, 7.2% of users visited American Express, compared with 3.1% who visited Capital One. After a Capital One recommendation, 14.2% visited Capital One, compared with 3.8% who visited American Express.

In travel, after a Skyscanner recommendation, 9.5% visited Skyscanner, compared with 7.6% who visited Kayak. After a Kayak recommendation, 12% visited Kayak, compared with 3.4% who visited Skyscanner.

In beauty, after a Sephora recommendation, 7.9% visited Sephora, compared with 3.3% who visited Ulta. After an Ulta recommendation, 7.6% visited Ulta, compared with 4.6% who visited Sephora.

AI demand showed up in search. What stands out to me is that most AI-influenced visits did not appear as AI referral traffic. ChatGPT may shape the user’s brand choice, but the later website visit often shows up in analytics as search traffic instead.

Similarweb found that 55.9% of AI-influenced visits came through search, compared with 40.4% of non-AI-influenced visits.

Direct traffic told a different story. It accounted for 19.9% of AI-influenced visits, compared with 38.8% of standard visits.

Recommended users stayed longer. I also think the engagement data matters. AI-influenced visitors viewed 12 pages and spent 11.8 minutes on site, on average, compared with 6.5 pages and 5.6 minutes for non-AI-influenced visitors.

That deeper engagement suggests these users may have already narrowed their options during the AI conversation before they ever reached the brand’s website, Similarweb said.

Why I care. AI visibility can drive meaningful visits even when referral reports miss the original source of influence. I need to understand whether ChatGPT is creating demand for my brand or sending that demand to a competitor.

About the data. Similarweb used its opted-in U.S. desktop web panel to track user journeys from July through December 2025. The report focused on finance, travel, and beauty brand pairs with competitive overlap.

The report: The Downstream Impact of AI Visibility (registration required).

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July 3, 2026
Condé Nast Shifts Focus as Google Search Traffic Fades

Over the years, as Google continually tweaked its algorithms and transformed its search results pages, I’ve seen Condé Nast adjust its strategies considerably. Now, we’re designing our business around the notion that search traffic barely impacts us anymore.

In a recent conversation featured on TBPN—the tech media network that’s been likened to “technology’s daily show”—CEO Roger Lynch shared that we’ve stopped regarding Google search as a dependable traffic source.

Here’s what Lynch explained. While Google traffic isn’t expected to vanish completely, we’re intentionally planning as if it’s on the decline:

“Last year, I instructed our teams: plan as if there is no search—consider search as non-existent.”

“We’re not saying it will be gone entirely… but we anticipate it will comprise only single digits of our overall traffic—very minimal.”

The background. Throughout the past few years, Lynch has observed a recurring trend: Google’s adjustments consistently exceeded our expectations in reducing our visibility.

“For each of the last three years, we predicted some search traffic declines in our budgets, but it fell even more than anticipated,” he noted.

Why has our search traffic dwindled? Lynch attributes this decline not only to algorithm changes but also to AI Overviews and Google’s increasingly commercial-centric results.

“Seven or eight years ago, search results had a few ads, followed by ’10 blue links.’”

Currently, users first encounter AI Overviews, then a slew of commerce links, pushing organic results further down the page.

“It’s worked out well for Google,” Lynch commented.

A shifting landscape. The alterations made by Google have disrupted the model that other digital entities, like BuzzFeed, used to convert social media and search traffic into revenue.

“That era has ended,” he declared.

Lynch mentioned that brands in the intermediary stages are having the most trouble adapting to changes in AI and search frameworks.

“In today’s world, having a specified niche with a dedicated audience is crucial. Relying solely on advertising to support significant journalism investments is a challenging position,” he stated.

Shifting priorities at Condé Nast. We are now emphasizing brands that excel in these areas:

Dedicated direct audiences.

Potential for subscriptions.

Undeniable expertise in a given niche or category.

Lynch also hinted at a potential advantage for premium publishers against AI-generated content:

“Our audience expects and desires human-generated content. Creating AI-generated content doesn’t play to our strengths. Identifying and building on your competitive advantages is vital.”

Why this matters. Lynch emphasized that the practice of turning search and social media traffic into lucrative businesses is outdated. Publishers lacking a strong brand or dedicated readership might face challenges, as platforms can revise their methods at any moment.

The full interview. You can watch Lynch’s discussion, where he elaborates why human journalism remains crucial in the AI era, starting at 30:28 here.

Inspired by this post on Search Engine Land.

May 13, 2026
Dramatic Traffic Decline: Small Publishers Hit Hard
I recently came across some alarming data showing that small publishers have experienced a significant decline in search traffic due to AI-driven search experiences. This information, gathered from global sites using Chartbeat analytics, highlights the challenges we face in maintaining visibility.

The details. In our daily operations, if we manage a site with 1,000 to 10,000 daily pageviews, we’ve seen a dramatic 60% decrease in search referral traffic over the past two years, according to Chartbeat.
- For those of us managing mid-sized sites with 10,000 to 100,000 daily pageviews, the decline is 47%.
- Even the large publishers, who typically draw more than 100,000 daily pageviews, aren’t immune; they’ve seen a 22% drop.
Reality check. Currently, AI referrals are not filling the gap left by lost search traffic.
- We should be aware that Google Search pageviews have decreased by 34% year over year.
- Google Discover has seen a 15% drop.
- While ChatGPT referrals increased by 200%, they still account for less than 1% of our overall traffic.
Yes, but. It’s important to note that traffic isn’t vanishing entirely; it’s just shifting. Total weekly pageviews across publishers have only fallen by 6% from 2024 to 2025, which is partly due to fluctuations in the news cycle. While search may be shrinking as a portion of traffic, direct, internal, and messaging channels are expanding.

Why we care. Historically, SE has been the lifeline for smaller sites. Without a strong brand presence, direct audience engagement, returning visitors, or unique offerings, we confront increasing risks as search referrals decline.

The Axios report. To delve deeper, check out the exclusive report from Axios on how small publishers are being hit hardest by these search traffic declines.

Inspired by this post on Search Engine Land.
March 18, 2026
How Google’s AI Mode Threatens Web Traffic: Insights from Yahoo CEO

As I delve into the evolving landscape of web traffic, I find Yahoo CEO Jim Lanzone’s insights on AI-powered search engines, particularly Google’s AI Mode, incredibly fascinating. He believes this technological evolution poses a significant threat to the web’s traditional traffic model.
Jim highlights a major concern: “I think that the LLMs are one big reason they’re under threat, with AI Mode in Google being the biggest challenge.” This makes me ponder the impact on publishers who rely heavily on these traffic flows.
I resonate with Jim’s view that publishers truly deserve this traffic. He articulates a fundamental truth: “Those publishers deserve [traffic], and we’re not going to have the content to consume to give great answers if publishers aren’t healthy.” This reflects the delicate balance required in the digital content ecosystem.
Why I care. Many websites, mine included, are noticing a dip in traffic coming from answer engines such as Google and OpenAI. It feels like a looming concern that could worsen. Yahoo’s dedication to maintaining the “search sends traffic” model is reassuring, as Jim passionately explains: “We have very purposefully highlighted and linked very explicitly and bent over backwards to try to send more traffic downstream to the people who created the content.”
Yahoo’s unique AI approach. Listening to Jim on the Decoder podcast, I learn that Yahoo is carving its own path with AI. Unlike the more conversational chatbot models, Yahoo isn’t pursuing to be an AI assistant: “Ours looks a lot more like traditional search and it is more paragraph-driven. It’s not a chatbot that’s trying to act like it’s a person and be your friend.” I see this as a move towards emphasizing informative search experiences.
Moreover, “We’re not a large language model. We’re not going to be the place you come to code. We’ve really launched Scout as an answer engine.” This strategy, I believe, could provide a clearer, more reliable information source online.
What’s next: Embracing personalization. In observing Yahoo’s strategy, I’m excited to see their efforts to evolve. They’re embedding AI across platforms: “You are very shortly going to see us get into very personalized results. You’re going to see us get into very agentic actions that you can take.” This indicates a future where user-specific solutions take precedence.
For instance, Jim notes, “There’s a button in Yahoo Finance that does analysis of a given stock on the fly… It is in Yahoo Mail to help summarize and process emails.” Such tools could transform how I interact with content on various platforms.
Yahoo vs. Google: A non-competition. Interestingly, Yahoo isn’t trying to directly outplay Google. Instead, as Jim points out, the focus is on existing users and enhancing their experience: “Nobody chooses, you will not be surprised, Yahoo over Google or somewhere else to search. The way that we get our search volume is because we have 250 million US users and 700 million global users in the Yahoo network at any given time. There’s a search box there. And infrequently, they use it.” It’s more about nurturing the loyalties of existing users.
A word of caution. The conversation also shines a light on the potential pitfalls of heavily relying on AI platforms. Jim references past experiences with Google: “You are tempting fate by opening up a way for consumers to access your product within a large language model.” This analogy resonates with me deeply, remembering the cautionary tales in tech history.
Yet, he warns: “The big bad wolf will come to your door and say everything’s cool.” It’s a timely reminder of the ever-competitive and unpredictable nature of tech alliances.
The interview. For those intrigued by Yahoo’s journey, check out Yahoo CEO Jim Lanzone’s full interview on reviving the web’s homepage.

Inspired by this post on Search Engine Land.

March 17, 2026
Google AI Drives 42% Drop in Search Clicks: A Closer Look

Seeing the shifts in Google’s search traffic firsthand, I’ve noticed publishers losing organic search traffic, yet there’s a silver lining with breaking news traffic soaring by 103%, and Google Discover clicks surging.

Google’s AI Overviews might be cutting into traditional search clicks, but I believe publishers can still find significant growth through breaking news and Google Discover according to recent insights from Define Media Group.

Organic search clicks have dropped 42% since AI Overviews began expanding in Google Search, based on Define Media Group’s analysis of Google Search Console data from 64 sites. It’s quite revealing!

Why we care. AI-generated answers are dramatically reshaping how search traffic is distributed. While evergreen content loses clicks, real-time news coverage and Discover distribution are becoming more potent channels for us publishers.

By the numbers. In Google Search, Discover, and Google News, breaking news traffic has grown 103% from November 2024 to early 2026 within the company’s dataset. However, losses have mainly hit informational and evergreen content.

Here are some figures to consider: organic search traffic averaged 1.7 billion clicks per quarter from Q1 2023 through Q1 2024. Post AI Overviews launch, traffic took a 16% plunge immediately and couldn’t recover. As Google expanded AI Overviews in May 2025, these declines accelerated. By Q4 2025, search traffic had fallen 42% from the pre-AI Overviews baseline.

Discover’s role: Google Discover, which has grown by 30% across the portfolio, is becoming a primary growth engine for breaking news distribution, rising steadily even as web search traffic dips. It’s the first time Discover and web search have driven almost equal traffic.

Interestingly, the report highlights a significant increase in Discover traffic following the December 2025 Google core update, although some gains eased after the February 2026 Discover core update. Yet, according to Chartbeat data, Discover was the main driver of Google referrals to news sites last summer.

Why is this happening? AI Overviews appear less frequently for news queries compared to other topics. Reports show that AI Overviews appeared for only about 15% of news queries, which is nearly three times less often than in categories like health and science.

It seems news queries frequently trigger the Top Stories carousel, linking directly to publisher articles, especially for major events such as international conflicts. Define Media Group suggests that Google may avoid AI summaries for breaking news due to rapid changes and high accuracy needs.

The report. BREAKING! News Thrives in the Age of AI

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March 12, 2026