I have had roughly the same conversation with four clients since the Helpful Content Update, and I have been bad at it. They want to know what to change. Most sites hit by that update do not have numbers clean enough to answer with, so what they get from me is a set of plausible moves and a shrug I try to hide. Gisele Navarro has the numbers. She is the Managing Editor of HouseFresh, an air-quality review site that buys every unit it tests, runs no ads, and takes no sponsorships. She stopped looking at her rankings about a year and a half ago and started reading her traffic by source instead. What she found argues with a line most of our industry has been repeating all year.
Her own numbers contradict the “AI traffic is more engaged” pitch
Two minutes from the chatbots. Six to eight from Reddit and YouTube, over multiple pages. That is the split she watches, in her own words on the episode:
“people who come from ChatGPT, from Claude, from Gemini, they spend very little amount of time on the site – like around two minutes. And then people who come from Reddit, YouTube, they spend six to eight minutes on the site. And they will go to multiple pages.”
Her explanation for the gap is the part you can use. An LLM referral is not the start of a research journey. It is the end of one.
“Whereas I feel like the traffic we’re getting from LLMs is people that are coming maybe to check, but not necessarily to find. They already found, because the LLM told them.”
She knows exactly what she is contradicting, and she says so:
“I have seen the claims that actually traffic from ChatGPT is more engaged and it performs better and it stays longer – and it doesn’t match with what I see, comparing to something like Reddit or YouTube, or actual social networks, where I know the traffic coming from there is more likely to be a human being.”
Take the boundary condition with the finding. This is one site, one vertical, her own analytics, read over the stretch since AI Overviews rolled out. It is not a controlled study and she never says it is – she also told me she does not pay for LLM visibility tools, because she trusts her own on-site behaviour over a vendor’s sample. So do not carry “two minutes” into a client deck as a benchmark. Carry the method instead: segment engaged time by referrer before you repeat anybody’s claim about AI traffic quality, including this one.
What makes it more than a talking point is that she changed the product over it. If the visit is two minutes, the first two scrolls have to do the whole job.
“I’ve already changed the way that we present the information on the site because of that. And the same with our videos. Our videos are built so that in the first three to four minutes you got everything you need.”
That is a measurement turning into a page template, and into the way their YouTube reviews get cut. It is the step most of us skip.
Google broke the bargain first, and it told her so to her face
The deal was that you publish and Google sends people. HouseFresh held up its end harder than almost anybody: every unit bought, no ads, no sponsorships, and when a US-only product cannot be shipped to the UK they pay the purchase price to a charity the manufacturer chooses rather than take a free sample, “just because we want to be very clear that we have no connection.”
The slide started in September 2023 and ran through January 2024. When independent publishers compared notes, the same names kept turning up on the way past them:
“How can it be that I’m reviewing an air purifier, and you are reviewing a pair of trainers, and you are reviewing a Star Trek show, and we are all competing with Forbes?”
They wrote it up in February 2024, and her running account of everything since has stayed under her byline on the site. The March 2024 core update took them to nearly nothing, and for a while that article was the traffic. Nieman Lab picked it up, journalists piled in, and Google got in touch – first a call with the search team, then a full day at the Googleplex with 19 or 20 other sites and a room of engineers. The question on the table was the one nobody has answered yet: “how can the robot figure out that this is a real human piece of content?”
What she was told afterwards was honest and grim. “it’s going to take a long time, it’s never going to come back to where it was.” And then, flatly: “A lot of sites closed. A lot of people just went into getting jobs while they waited to see whether something did change.”
Some of it did come back. She points to August 2024, when a search for the brand started returning HouseFresh rather than a Reddit thread about HouseFresh, and to March 2025 alongside the algorithmic side of site reputation abuse. Then AI Overviews landed and pulled the metrics apart: “our impressions were through the roof and our clicks kept falling, even though the positions were holding.” Worse, the citation does not pay. Google will name HouseFresh, run their images and their video, then hyperlink the product to a shopping panel instead of the review.
“And we sold that unit, because we are the ones that said it’s really cool, the data shows this, blah blah blah. The images that they use are ours, the video that they show is us, the name that they use to say “according to HouseFresh” is us. But then the link, it’s obviously a shopping partner.”
The subreddit was a ranking play before it was a community
She started it because the site could not rank. Not for brand, not for community, not for any of the reasons that get written into the strategy deck afterwards.
“when we started the subreddit, we did it because our website wasn’t ranking”
The reasoning was ordinary SERP triage done by hand. She sat down with the results for her own queries and asked which surfaces she could still reach. Images, yes. The social posts Google was pulling in, yes. Reddit, yes. Quora she tried and abandoned. So the early posts were the reviews that were never going to rank on her own domain – the critical ones, on products where, as she put it, “every other review of this product is bought and paid for right now.” Put the unflattering data where it can surface, and let people decide.
The timing checks out independently. r/HouseFresh was created on 15 March 2024, days after the core update that took their traffic to nearly nothing, and it had 897 subscribers when I checked it against Reddit’s own API on 9 September 2026. The subreddit’s birthday is the receipt for her story.
One correction worth carrying, because the names sit close enough to trip you up: r/AirPurifiers is not hers. She is explicit about it – “There is a subreddit that is called r/airpurifiers, which we are not part of and we don’t post there – they are their own thing.”
She is also clear-eyed about what she has actually built there:
“Right now they are all walled gardens. And tomorrow, from Reddit to YouTube to X, all of them can turn around similarly as Google did and drop us all. None of this is ours.”
She has not blocked the AI crawlers, and the reason has nothing to do with SEO
They debated it and decided against, on a health argument rather than a traffic one. During a New York wildfire, while HouseFresh was ranking nowhere, people bought bad units – and then emailed afterwards to say what they had bought.
“no, I would rather they eat our information. It’s fine, but at least recommend something good.”
The practical cover helps. Their host blocks bots, so the crawl is not billing them, and the site is small enough that the request volume is not a problem. She says they would revisit it “if it gets ridiculous.”
I pushed back on tape with the cultural read – that we got shoved into this fast enough that the backlash is now its own force, and that the AI slop narrative exists because a whole industry got beta tested on in public. Her answer was better than my question. She is not defending the models. She has decided that somebody sheltering from smoke should get the right filter, and she is willing to go uncredited to make that happen.
What you can take into a client account this quarter
Judgement, not measurement. She measured her site; the rest of this is what I would do about it.
- Segment engaged time by referrer before you quote anyone on AI traffic. If your client’s LLM referrals behave like hers, that traffic is verification rather than discovery, and your reporting should say which one it is.
- Build the page for a two-minute read, then reward the longer one. Everything the visitor came to confirm goes above the second scroll. Depth still belongs on the page, just lower down it.
- Pick one surface where your client’s answers are already being asked for, and answer there under your own name. Ours is written up in the SEO tactic library. Hers was a subreddit chosen off a SERP audit.
- Do not mistake a channel for an asset. Reddit, YouTube and X can each do to you what Google did. Write the playbook down so it outlives the platform, which is what our SEO standard operating procedures are for.
She has a phrase for the work that holds all of this together. People turn up with a room size, a budget and a problem, and she answers them one at a time, every morning, across every inbox she has: “We are the human LLMs.”
That is not a growth tactic. It is the reason the recommendations keep coming from people she has never met.
Her referral-quality audit is written up as a run-it-this-week procedure: SEO SOP: Audit Referral Quality by Source, Then Rebuild the Page. The one-page PDF is free inside The Vault.
Find Gisele: she posts as @ichbinGisele on X and she is Gisele Navarro on LinkedIn. HouseFresh, her author archive, the subreddit and the video reviews are all linked above.
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