Google AIO Volatility by Industry: What 2026 Data Reveals

The Google AIO stabilization story is an illusion.

Overall market AIO coverage rates nearly doubled from 23% in September 2025 to 47% in January 2026, then corrected sharply to 34% in February. That is not a system finding its floor. That is a second wave followed by a pullback, and the executives who planned around the idea that AIO had stabilized are now staring at forecasts that don’t match reality.

We looked into 274M Google searches conducted in the US between September 2025 and February 2026 to better understand the AIO landscape. What we found is that the overall average doesn't just obscure the real story. It actively misleads it.

Coverage varies dramatically by industry. Volatility varies even more. And that variation is the signal executives need to act on. Volatility is what determines whether you can trust your traffic forecasts, plan with confidence, measure consistently, and account for the right level of risk.

This report breaks down AIO coverage by industry and tells you exactly what to do with what we found.

Methodology: How we calculate AI Overview coverage % and volatility

We dug through 274,524,214 Google searches conducted in the US between September 2025 and February 2026. We categorized search queries into 11 industries that map directly to the Global Industry Classification Standard (GICS) framework we used for the 2026 AEO/GEO Benchmarks Report.

Here's what we measured and how we measured it.

Market AIO coverage % tells us the % of ALL searches that generated an AIO, and answers the question: How often does an AI Overview appear for any given search in the US during this period? This is a macro-level indicator.

Industry-level AIO coverage % tells us the % of searches within a specific industry that generated an AIO, and answers the question: When people search for topics related to this industry, how often does Google show an AI Overview?

To measure movement over time, we calculated Month-over-Month (MoM) volatility using the following formula:

((Current month AIO % — Previous month AIO %) / Previous month AIO%) × 100

This tells us not just whether AIO % went up or down, but by how much. Volatility is the executive signal that's been missing from the AIO conversation: it's what actually determines whether you can trust your traffic forecasts and plan your next move with confidence.

The baseline: Overall market AIO coverage %

Before we talk about volatility, let's establish what the overall market AIO coverage trend looks like.

The average market AI Overview coverage rate across our full study period was 34.5%. That's a significant jump from the 25% first reported in our Benchmarks Report (data range from September 15 to October 12, 2025). Coverage peaked at 47% in January 2026 before pulling back to 34% in February. This suggests a broad algorithmic adjustment by Google during that month. And this macro picture is already more turbulent than the stabilization story suggests.

But the macro picture isn't where executives should be looking. That market average reflects all queries with no filters. When you look at AIO coverage broken down by industry, the range is staggering.

Highest AI Overview coverage: Communication Services (46.4% average)

Communication Services is the most AI-saturated industry in our dataset. Nearly half of all searches in this space trigger an AI Overview, a rate much higher than the 26.9% coverage noted in late 2025 in our Benchmarks report. Google didn't discover this category midway through. It committed to it early and kept expanding. If your brand operates in Communication Services, Google AI Overview is not a trend to watch. It’s the current reality of your SERP, so you should adapt AEO and SEO strategies to target it.

Lowest AIO coverage: Real Estate (20% average)

Real Estate sits at the bottom of the table, but "lowest" is relative. One in five searches in this space still triggers an AI Overview, up from just 13% in late 2025. That's a 7% increase in six months. The category may be the least disrupted in this dataset, but the direction of travel is clear. Google’s AI-generated answers are moving in, just more slowly.

As you can see, every industry showed some level of volatility. But a 26% difference between the highest (Communication Services) and lowest (Real Estate) coverage rates makes one thing clear: treating AI Overviews as a one-size-fits-all story gets your forecasts wrong. Your industry has its own trajectory, and where it lands on this chart determines how urgently you need to act on AEO right now.

Google AI Overview coverage % and volatility by industry

The overall market AIO coverage % tells you how likely ANY query triggers an AI Overview on a macro level. The AIO % of your industry tells you how exposed it is on a micro level, and volatility tells you how much you can trust that exposure. Here's how every industry stacks up on both dimensions.

Communication Services

According to our analysis, Communication Services is Google’s definitive AIO stronghold, exhibiting aggressive, sustained growth with virtually no retreat. That’s not a coincidence. It’s a strategic lock-in. By leaning into this low-risk, non-YMYL (Your Money or Your Life) sector, Google is leveraging its own domain mastery to build a zero-click moat against its rivals. While other categories remain experimental zones plagued by retraction, Communication Services has become Google's designated safe harbor for permanent AI integration.

Peak and lowest coverage: Reached a peak of 63.0% in February 2026, with its lowest point at 26.9% in September 2025.

AIO coverage performance: This is the standout industry of our entire dataset. A 36% increase from September 2025 to February 2026, with the highest six-month average of any industry at 46.4%. Nothing else comes close.

Volatility analysis: Its biggest single-month surge came in November 2025, when coverage jumped 60.6% MoM. What's more telling is what happened in February: Every other industry pulled back, but Communication Services held firm, resulting in a positive 3.0% MoM. That's not a coincidence. That's proof Google has made up its mind about this category.

Health Care

Health Care is one of the most AI-saturated sectors we tracked, and that's no accident. Informational health queries are exactly what Google's AI was built to answer. The February correction likely reflects tighter quality filtering for YMYL content, Google raising the bar on what earns an AI Overview in a space where a wrong answer has real consequences.

Peak and lowest coverage: Peaked at 56.6% in January 2026; its lowest recorded rate was 31.6% in September 2025.

AIO coverage performance: Health Care averaged 42.8% over the six-month period, one of the highest baselines in our dataset. It peaked at 56.6% in January 2026 before a sharp February correction pulled it back to 37.8%. Strong start, rough landing, but still well above the 31.6% it posted in September 2025.

Volatility analysis: Growth was steady and relatively controlled right up until February, when the bottom fell out. A negative 33.2% swing in a single month is the largest pullback this industry recorded across the entire study period.

Financials

Financials is a high-stakes sector where AI Overviews have become a default part of the search experience. But the February 2026 correction is a reminder that even established, high-coverage industries are not immune to rapid algorithmic shifts. In a space where trust and accuracy carry this much weight, Google's willingness to retract quickly is a feature, not a bug.

Peak and lowest coverage: Hit a peak of 56.1% in January 2026, starting from a low of 25.9% in September 2025.

AIO coverage performance: Financials averaged 39.4% across the study period, built on five consecutive months of growth. That streak ended in February, when coverage reversed course and pulled back.

Volatility analysis: November was the high-water mark, with a 40.3% MoM expansion. February gave most of it back with a 28.6% drop. Two big swings in opposite directions within a four-month window.

Information Technology

IT queries are built for AI Overviews. How-to guides, product comparisons, technical explainers. Google answers these with confidence. But that comfort level doesn't make the sector immune to testing cycles. Build your AEO strategy around the baseline, not the peak.

Peak and lowest coverage: Peaked at 52.4% in January 2026, with a low of 25.3% in September 2025.

AIO coverage performance: Information Technology averaged 38.2% across the period, with total growth of 11% from September 2025 to February 2026. The trend was positive overall, even after absorbing a rough final month.

Volatility analysis: December 2025 was IT's biggest moment, with a 42.6% MoM expansion. February erased much of that with a 30.8% pullback, consistent with the broad market correction that hit most industries that month.

Consumer Staples

Google is guessing in this category. The January spike looks like an overcorrection by the algorithm, and February's retreat confirms it.

Peak and lowest coverage: Peaked at 45.2% in January 2026; hit a low of 25.2% in February 2026.

AIO coverage performance: Consumer Staples averaged 32.4% across the six months and actually finished the period 0.7 points below where it started in September. It's the only industry that ended the study essentially flat, with nothing to show for six months of turbulence.

Volatility analysis: Boom and bust, in the most literal sense. December’s 43.6% surge stalled in January before collapsing in February at –44.2%, a near-equal and opposite reversal in just two months.

Energy

Google hasn't decided what to do with Energy queries yet. Visibility in this sector is inconsistent by design, not by accident.

Peak and lowest coverage: Reached a peak of 50.4% in January 2026, with a low of 21.0% in September 2025.

AIO coverage performance: Energy averaged 31.8% across the period, briefly crossed the 50% threshold in January this year, then fell back hard, finishing at 27.2% in February.

Volatility analysis: The most erratic sector in the study. A 62.2% expansion in January. A 46.0% correction in February. No other industry swung that hard in both directions within a two-month window.

Industrials

Google leaned into industrial queries hard in December, then pulled back consistently. The data suggests the algorithm is actively dialing down AI Overview frequency for this industry, not correcting a spike but retreating from a position it overclaimed.

Peak and lowest coverage: Peaked early in December 2025 at 44.6%, starting from a low of 19.7% in September 2025.

AIO coverage performance: Industrials holds a 31.4% six-month average, but unlike most industries, it's been trending in the wrong direction since its December peak.

Volatility analysis: December was the high point, with a 66.3% MoM expansion. Every month since has been negative. Industrials is the only industry that expanded aggressively and then kept contracting without a bounce.

Materials

Same story as Industrials. Google moved in fast, then pruned back. The algorithm tested AI Overviews for materials-related queries, decided many of them weren't earning their place, and scaled back. Brands in this sector aren't losing ground they had built. They're watching Google undo its own experiment.

Peak and lowest coverage: Peak coverage of 37.6% in December 2025; lowest point was 17.7% in September 2025.

AIO coverage performance: Materials averaged 25.5% across the study and finished near where it started, at 20.2% in February.

Volatility analysis: December was the anomaly: a 58.1% spike that suggested Google was testing AI Overviews aggressively in this space. February took most of it back with a 42.4% drop.

Utilities

Slow, steady, and resilient. Utilities didn't spike the hardest or average the highest, but it absorbed the February correction better than almost any other industry. That's a sector Google is growing into with conviction, not testing and retracting.

Peak and lowest coverage: Peaked at 39.5% in January 2026, with a low of 19.2% in September 2025.

AIO coverage performance: Utilities averaged 28.4% and added 15.5% from start to finish, the second-highest total growth in the dataset.

Volatility analysis: January brought a 40.8% expansion. February trimmed just 12.0% of that. For context, every other high-growth industry gave back far more in February. Utilities barely flinched.

Consumer Discretionary

AIO presence in this industry is real but seasonal. A significant share of AI Overviews that appeared during the winter expansion simply got pulled in February's update. Brands in this space can't treat peak coverage as a new baseline.

Peak and lowest coverage: Peaked at 36.5% in January 2026; lowest point was 17.3% in September 2025.

AIO coverage performance: Consumer Discretionary averaged 26.2% across the period, tracking the broader market pattern of winter growth followed by a February pullback.

Volatility analysis: That pullback hit hard. A 42.8% drop in February, one of the largest single-month corrections in the entire dataset.

Real Estate

Real Estate is the most AIO-resistant industry we tracked, and the reason is structural. These queries are local, transactional, and highly specific. "Three-bedroom homes in Austin under $600k" doesn't lend itself to a general AI Overview the way "how does a mortgage work" does. Google knows this. The low footprint isn't a gap it's actively trying to close. It's a reflection of where AI Overviews genuinely add less value.

Peak and lowest coverage: Peaked at 29.3% in December 2025, with a low of 13.0% in September 2025.

AIO coverage performance: Real Estate finishes last in the dataset, with the lowest six-month average at 20.0%. It's not close. Every other industry outpaces it by a meaningful margin.

Volatility analysis: Low coverage doesn't mean no movement. Real Estate still tracked the broader market pattern and took a 26.2% hit in February, right in line with the pullback that swept most industries.

Why volatility in Google AIO matters

Coverage tells you whether you have an AIO problem. Volatility tells you what kind of problem you have.

Those are two very different questions, and most brands are only asking the first one. An industry with 40% AIO coverage and rock-solid MoM stability requires a completely different strategy than an industry with 40% AIO coverage that swings 30% in either direction every 30 days. The number on the surface looks the same. The business reality underneath it doesn't.

Looking at our study, here's what those swings actually mean. A 10% MoM change means the share of queries triggering an AI Overview in your industry shifted by 10% compared to the month before. A 50% swing means the landscape essentially reshuffled. One is a ripple. The other is a wave.

The critical distinction: a single bad month is noise. A consistent pattern of large swings is a signal. That signal tells you exactly how confident Google is in serving AI Overviews for your industry. High and consistent volatility means Google is still testing, retracting, and re-expanding AIO for your query types. It hasn't made up its mind yet. Low volatility means it has.

Our data tells a clear story here. Communication Services is the only industry where Google has genuinely committed. Sustained growth, almost zero retraction, and a floor volatility of just 0.26% in the negative direction. It's a low-risk category for AI Overviews, and Google knows it. That's exactly why it's using this industry to lock in a permanent zero-click presence before any competitor can fill the gap.

Every other industry tells a different story. Energy AI Overview presence swung 62.2% up in January and 46.0% down in February. Consumer Staples matched that pattern almost exactly. These aren't blips. They're the signature of Google still in active testing mode, expanding aggressively into new query territory and then pulling back just as fast.

So the real question isn't whether your industry has AI Overviews. It's whether you can predict them. Volatility is what separates a reliable opportunity from a reporting liability. Get that wrong in your planning, and your forecasts won't survive contact with the next Google update.

Predictability vs visibility: the real executive tradeoff

Here's the tradeoff every executive needs to understand.

Health Care averages a 42.8% AIO trigger rate across our study period. High coverage by any measure. But its MoM volatility is the lowest in the dataset. Google has decided that health queries deserve AI Overviews and isn't walking that back. For brands in this space, AIO is a permanent fixture of the SERP. You don't get to opt out. But you do get to plan around it.

Consumer Staples is the opposite. Coverage is also high, but the swings are brutal. Google pushes aggressively into product-related queries, then retreats, then pushes again. For a brand selling consumer goods, that cycle means your organic traffic forecast carries a significant margin of error by default. Not because you're doing anything wrong. Because the environment is structurally unpredictable.

The framing for executives is straightforward:

• High coverage plus low volatility means AIO is a reliable opportunity. Model it in, optimize for it, but keep an eye on it. You’d want to spot the trend early before any major shifts.
• High coverage plus high volatility means AIO is a reporting liability in your forecast. You need a buffer, a diversified channel mix, and a content strategy optimized for AI Overviews when Google is in expansion mode.

Treating both situations the same because the coverage numbers look similar is exactly how brands end up with forecasts that don't survive the next Google algorithm update.

Executive playbook: navigating the (current) AIO landscape

The Google AI Overview landscape is in active testing mode for 10 out of the 11 industries analyzed. That makes the following best practices a baseline requirement for any brand that relies on search for revenue.

1. Adapt to an AIO-adjusted revenue model

For many industries mentioned in this article, coverage can swing 40% in 30 days, which means your organic baseline isn't a fixed asset. But here's what most brands miss: if you built your forecast off a low-AIO month, your baseline was already inflated before volatility even entered the picture. Low AIO coverage means more blue-link clicks, higher organic traffic, and numbers that look better than reality. When coverage spikes, that traffic disappears. It's not underperformance. It's a baseline you should never have trusted.

2. Replace rankings with visibility share

A number one ranking sitting below a full AI Overview is not a number one ranking. It's closer to position five. Shift your reporting to track total SERP visibility share: AI Overviews, traditional rankingsRankings
Rankings in SEO refers to a website’s position in the search engine results page.
Learn more, and featured snippetsFeatured Snippets
A featured snippet is a special search result appearing at the top of Google results, displaying direct answers extracted from web pages.
Learn more combined.

If you aren't measuring your share of AI-generated real estate, you aren't measuring your actual competitive position.

3. Build a defensive content and schema strategy

Google is answering queries that used to require a click. To stay in the conversation, invest in AEO (Answer Engine Optimization) and start optimizing your content for Google AIO.

That means structured Schema markupSchema Markup
Schema markup is structured data added to web pages that tells search engines what content means, enabling rich results and enhanced search features.
Learn more so Google's AI can parse your data clearly, and deep E-E-A-T signals (Experience, Expertise, Authoritativeness, and Trustworthiness) that establish your brand as the authoritative source on the topics that matter to your business. Focus on the why and the how. That's the content Google is currently least equipped to summarize away.

4. Diversify beyond search

Volatility is a dependency risk signal. If your business runs entirely on a single algorithmic testing cycle, you're exposed. Use this period of unpredictability to build channel diversity across email, social, direct-to-site, and community, for example. A 40% drop in AIO coverage shouldn't mean a 40% drop in your pipeline.

The era of AI Overviews demands a new standard

The stabilization story was wrong. The overall market AIO coverage rate doubled, then corrected sharply. Ten of the 11 industries we analyzed pulled back in the same month. Google is still running experiments, and your plan should account for that instability.

In the first wave of traditional search, the goal was to be found. In the second wave, the goal was to be clicked. In the era of AI Overviews, the goal is to be the source of truth Google can’t afford to ignore.

Coverage tells you where Google is today. Volatility tells you how much you can trust it tomorrow. Start measuring both.