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Search Console and AI Overviews: Why Average Position Is Misleading - Wipidia Blog

technical-seo•Updated: 10/6/2026•3 views

Search Console and AI Overviews: Why Average Position Is Misleading

Measuring SEO in the AI era

Google Search Console treats an entire AI Overview as a single block and assigns the same position to every link inside it. This guide explains how that distorts position data and which metrics to rely on instead.

The Issue

Analysis published in early October 2026 drew attention to a quirk in how Google Search Console reports AI Overviews. When an AI Overview appears on a results page, Search Console treats the whole block as a single position. Every link inside it receives the same position value, regardless of whether the link sits at the top of the overview, behind an expand control or in a side carousel. For anyone who relies on average position as a headline SEO metric, that matters.

How Position Reporting Normally Works

Search Console's position metric has always been an approximation. For each query, it records the topmost position your site achieved on a results page, then averages that figure across impressions. The method works reasonably well for a page of ten blue links, but it was never designed for blended results pages that mix organic listings, videos, maps, shopping units and AI-generated answers. The AI Overview treatment is simply the newest example of the metric straining under a more complex page.

How the Data Gets Distorted

Equal position for unequal prominence. A link buried low in an AI Overview can be reported at the same position as one at the very top of it, even though users are far more likely to see the second.
Average position moves without any ranking change. If an AI Overview starts appearing for a group of your queries, your average position can improve or worsen purely because of how that block is counted.
Impressions and clicks diverge. Impressions may rise because your page is cited in more overviews, while clicks fall because users read the answer and leave.
Before-and-after comparisons mislead. Comparing position across periods with and without AI Overviews is not like-for-like.

An Illustrative Example

Imagine a query where your page ranks fourth in the classic results. Google then begins showing an AI Overview that cites your page among several sources. Because the overview block is counted as one position, your recorded position may look better than fourth even if the citation is hard to spot. Reports show an improvement, yet clicks decline because the overview answers the question directly. The reverse can also happen. This is a simplified scenario, but it shows why position alone can point you in the wrong direction.

What to Track Instead

Metric	Why It Helps
Clicks and click-through rate by query group	Shows real traffic impact
Conversions and enquiries	Ties SEO to business outcomes
Branded versus non-branded traffic	Separates demand from visibility
AI citation tracking	Shows whether you are referenced in AI answers
Engaged sessions	Measures visit quality, not just volume

Recommended Workflow

Segment your queries. Separate queries that trigger AI Overviews from those that do not. Third-party rank trackers and manual checks can help identify them.
Compare click trends, not position. Look at clicks and conversions across both groups over the same periods.
Annotate your reports. Record Google algorithm update dates, site changes and product launches so shifts can be explained later.
Run manual spot checks. Search your most important queries regularly and note whether you are cited and where.
Report outcomes. Give stakeholders leads, revenue and engagement alongside rankings, so decisions rest on results rather than one unreliable number.

Common Misreadings to Avoid

Celebrating a position gain. An improved average position after an AI Overview appears may reflect counting rules rather than better visibility. Check whether clicks moved in the same direction.
Panicking over a decline. A worse average position can appear when overviews stop showing for certain queries, even if your organic listings are unchanged.
Judging pages in isolation. One page's position may change because the results layout changed, not because the page did. Compare groups of similar queries.
Ignoring seasonality. Demand shifts through the year, so compare against the same period last year as well as the previous month.

Supporting Tools

Search Console remains the best free source for impressions and clicks, but combine it with analytics for conversions, a rank tracker that records results-page features, and a regular manual review of key queries. No single tool shows the whole picture, so triangulating gives a more reliable view.

Communicating With Stakeholders

Managers and clients are used to seeing average position on dashboards, and a sudden change can trigger unnecessary alarm or misplaced celebration. Explain upfront that position now includes AI Overview effects and that clicks and conversions are the more dependable indicators. Present position as a directional signal, supported by evidence from outcomes. Setting expectations early prevents rushed decisions, such as abandoning pages that are performing well or doubling down on tactics that only look successful.

Key Takeaway

Position is still useful for spotting broad trends, but on queries with AI Overviews it should never be your only measure of success. Segment your data, focus on clicks and conversions, and treat any improvement or decline in average position with caution until you understand what is driving it. The sites that adapt their measurement now will make better decisions as AI features continue to reshape search results.

Tags:#Search Console#AI Overviews#SEO Analytics