Organic traffic for many sites has dropped over the past year. The question that matters isn't "why is it dropping" but "is it actually hurting the business?" Often the answer is no — and confusing a drop in sessions with a drop in value leads to bad budget decisions.
The analysis published by Search Engine Journal on the state of search in the AI world clarifies one point: traditional metrics like sessions and average positions are no longer enough to describe a site's SEO health. Search engines are increasingly responding directly on the results page, without sending clicks. Those who only measure traffic see a problem that may not exist - or don't see the real one.
This article explains how to distinguish a structural drop from a physiological one, what signals to look at instead of sessions, and where it makes sense to move SEO budget when the old model stops working.
Traffic drop that isn't a business drop
Opening Google Analytics and seeing organic sessions drop triggers a Pavlovian response: cut the SEO budget or change agencies. Before doing that, it's worth asking a simpler question: are conversions, leads, quote requests — dropping at the same rate?
In most cases, no. The reason is structural: search engines - Google in the lead, but also Bing, Perplexity, and AI systems integrated into browsers - are increasingly responding directly on the results page. The user gets what they're looking for without clicking. Sessions decrease, but the brand is still present when it matters.
This is the paradigm shift that those managing marketing budgets must metabolize before touching any spending item.
Metrics that no longer describe reality
There are indicators that have guided SEO decisions for fifteen years and that today only tell part of the story — often the least relevant part.
- Total organic sessions: include informational traffic that has never converted and probably never would have converted.
- Average position: in a SERP — search engine results page — where AI Overviews occupy the top part, being third or fourth doesn't mean what it meant in 2022.
- Impressions from Search Console: an impression is not real visibility if the user does not scroll to that position.
The topic of AI visibility as a new metric that SMEs don't measure it's central: if your brand appears in ChatGPT responses or Google's AI Overviews, you're gaining visibility even without clicks. Not measuring it means not knowing what's working.
Where to look instead of sessions
The starting point is to separate traffic by intent. Not all organic traffic has the same value, and a drop concentrated on generic informational queries — the ones AI engines handle themselves — is very different from a drop on transactional or brand queries.
Concrete signals to monitor:
- Conversions by channel: if the conversion rate of remaining organic traffic is stable or has increased, the drop in sessions is physiological.
- Clicks on branded queries: indicate that the brand is present in the user's mind even outside of direct search.
- Mentions in AI Overviews: Google Search Console has started providing data on some of these appearances.
- Referral and direct traffic: an increase can indicate that AI presence is generating direct searches.
For those who want to structure this process systematically, the content validation workflow for AI Search offers a practical method to understand which pages still make sense and which need rethinking.
SEO Budget: what to stop funding and what to boost
The operational question for those managing a marketing budget is: where does the money go that used to go to mass informational content production?
Some items that no longer make sense in the current context:
- Articles optimized for generic, high-volume keywords with low commercial intent — the kind that AI engines replace with a direct answer.
- Link building on low-authority industry sites, bought in volume.
- Technical optimization on pages that haven't generated qualified traffic for years.
Topics that deserve more attention:
- Content that answers specific customer segment questions — those that an AI engine cannot solve with a generic answer.
- Optimization for local search, where AI presence is still less pervasive. The guide to local visibility in AI Search for SMEs Dive into the details of this point.
- Technical structure of product pages and feeds — a topic that directly touches how Google SERP, Business Profile, and product feeds integrate today .
The analysis published by Search Engine Journal on the state of search in the AI world frame this shift well: it’s not about abandoning SEO, but about stopping funding it where it no longer produces measurable value.
The decision to make before the end of the quarter
Before reallocating any budget, an analytical cleaning operation is needed. Three concrete steps:
- Segment organic traffic by intent: separate informational queries from transactional and navigational ones. Look at the trend of the latter — those are the real thermometer.
- Compare sessions and conversions over 18 months: if organic conversions hold while sessions drop, you don't have an SEO problem, you have a measurement problem.
- Review the editorial plan: every piece of content in production should answer the question “can an AI engine solve this on its own?”. If yes, rethink the format or angle.
For those who want a broader picture of metrics and priorities for the coming months, the article on SEO in the AI era: metrics, budget, and priorities for 2027 it's the most useful starting point. The entire in-depth analysis on the topic is collected in the area dedicated to SEO and AI visibility by SHM Studio.
The most concrete risk is not losing traffic. It’s continuing to invest to recover traffic that wasn’t converting even when it was there.
Related articles
Discover more articles exploring similar topics, selected to offer you a more complete and stimulating perspective. Each piece of content is carefully chosen to enrich your experience.
