AI Overviews Are Showing Up in Search Console — Here’s What That Actually Means for Pasadena Electricians

Your Search Console dashboard probably looks a little different lately. There’s a new filter — “AI Overviews” — and it’s showing impressions for queries you’ve never seen traffic from before. Maybe your service pages are getting surfaced. Maybe they’re not. Either way, you’re probably wondering what any of it means for your business.

Here’s the short answer: impressions don’t book jobs. But understanding why some electricians in Pasadena are getting surfaced in Google’s AI answers — and why most aren’t — is actually useful, because the signals that drive AI surfacing are the same signals that drive phone calls.

Let’s walk through it.

When someone searches “best-rated electrician in Pasadena,” they may see a block of AI-generated text at the top of the results — before the map pack, before the organic links. That’s an AI Overview. Google’s AI reads a handful of sources and synthesizes an answer. Sometimes it links out to a business profile or a service page. Sometimes it doesn’t link to anything useful at all.

Google now counts those appearances as “impressions” in Search Console. So if your service page is referenced in an AI Overview, you’ll see impression data — even if the user never clicked through to your site.

That’s the part that trips people up. An impression in an AI Overview is not the same as someone landing on your website. Google’s own documentation makes clear that AI Overview impressions are counted when the AI-generated block is shown, regardless of whether a link was clicked or even visible on screen. Your CTR (click-through rate) on these impressions will look terrible compared to traditional organic results. That’s normal. It doesn’t mean the impressions are worthless — it means you’re reading the wrong number.

The number that matters is calls. Watch your Google Business Profile (GBP) call log alongside Search Console. If AI Overview impressions are climbing but calls are flat, you’re being referenced without being chosen. That’s a different problem than not being surfaced at all.

We ran a query for “best-rated electrician in Pasadena” through Google’s Maps-grounded AI and pulled the 20 profiles appearing in Google’s AI Overview and map pack for that query on June 2026 and recorded review count, rating, recency, and address for each. Here’s what the data showed.

Of those 20 profiles, 7 were surfaced by the AI. Thirteen were skipped entirely.

The gap between the surfaced group and the skipped group came down to one thing more than anything else: review count. The median review count for surfaced profiles was 57. For skipped profiles, it was 10. That’s not a small difference — that’s a 5x gap. The AI is not picking the profiles with the cleverest website copy. It’s picking the ones that look most established and most trusted based on public signals it can actually read.

Review recency mattered less than you’d expect. The median newest-review age for surfaced profiles was 179 days; for skipped profiles it was 154 days. So the surfaced group’s most recent reviews were actually older on average. That tells you review velocity is less of a tiebreaker here than raw volume. You need a real base of reviews before recency starts to matter.

Profile A — a surfaced electrician — had 70 reviews, a newest review 179 days old, hours set, and a Pasadena address. Profile B — skipped — had 13 reviews, a newest review 154 days old, hours also set, also Pasadena-based. Same city, same hours setup. The only meaningful difference was 57 reviews versus 13. Profile B is invisible to the AI.

Here’s what makes this cohort interesting. Of the 20 profiles competing for a Pasadena electrician search, 18 are physically based in Pasadena itself. Two are in Altadena. If you’re in Altadena and targeting Pasadena searches, proximity is already working against you — your review volume needs to compensate. There are no profiles from Arcadia, Monrovia, or Glendale sneaking into this cohort — the competition is almost entirely local.

That matters because it means proximity is largely neutralized as a differentiator. If 18 of your 20 competitors are also in Pasadena, you can’t win on location alone. Google’s AI can’t use “closer to the searcher” to separate you from the pack when you’re all within the same city boundaries.

What’s left to differentiate you? Reviews and ratings. Look at the rating distribution across the cohort: 15 of the 20 profiles are rated 4.8 or above. Four are in the 4.5–4.7 range. Only one is below 4.5. Profile A had 70 reviews at 4.9★; Profile B had 13 reviews at 4.7★. There are zero unrated profiles in this cohort. If you’re sitting at a 4.3 with 8 reviews, you’re not just losing to the AI — you’re losing to the map pack, to the pack of 15 profiles with 4.8+ ratings and 50+ reviews. The bar in Pasadena is high and it’s almost entirely set by review quality and volume.

Pull up Search Console. Go to Search Results, then filter by “Search type: Web” and look for the AI Overviews toggle (it shows up in the search appearance filters if your site has been surfaced). Here’s what to look at — and what to ignore.

Ignore: Raw impression counts in isolation. A high impression count with near-zero clicks means you’re being mentioned, not chosen. That’s not a win worth reporting to yourself.

Watch: The queries triggering AI Overview impressions. Are they service + city queries — “electrician panel upgrade Pasadena,” “licensed electrician near Pasadena”? Or are they informational queries nobody calls from — “how does a circuit breaker work”? If it’s the latter, the impressions are noise.

Act on: Any service + city query where you’re getting AI Overview impressions but your GBP call log shows no corresponding uptick. That gap tells you the AI is referencing your content but your profile isn’t closing the deal. Usually it means your GBP needs work — more reviews, fresher photos, a tighter service description.

The AI Overview is the top of the funnel. Your GBP is where the decision gets made. Treat them as separate problems.

Google’s AI isn’t reading your website the way a human would. It’s pulling structured signals — your GBP category, your review count, your rating, your service areas, whether your hours are set. It’s looking for profiles that are complete, consistent, and well-reviewed enough to recommend without embarrassing Google.

That’s why the “AI SEO” packages being sold right now are mostly noise. You don’t need a special AI optimization strategy. You need a GBP that’s fully built out and a review base that makes you look like the obvious choice. The businesses winning in AI Overviews in Pasadena right now are the ones with 50+ reviews and 4.8+ ratings — not the ones who paid someone to “optimize for AI.”

Our Local SEO work in the SGV focuses on exactly this: getting the foundational signals right so that when Google’s AI goes looking for a credible electrician in Pasadena, your profile is the obvious pick.

Check Search Console for AI Overview impressions on your core service + city queries. If you’re not seeing any impressions at all, your GBP is the first thing to fix — not your website. If you’re seeing impressions but no call lift, your review count is probably the bottleneck. In Pasadena’s electrician market, the surfaced profiles had a median of 57 reviews. If you’re under 30, closing that gap is the most direct path to showing up where it counts.

One thing at a time. This week: log into your GBP, look at how many reviews you have, and send a follow-up text to your last five completed jobs asking for an honest review. That’s it. That’s the move.

We audit GBP profiles and local search visibility for home-service businesses across the San Gabriel Valley — including pulling the exact kind of AI surfacing data shown in this post. If you want to know where you actually stand in Pasadena’s electrician market and what it would take to close the gap, that’s what our Local SEO work is built for. No fluff, no content treadmill — just a clear picture of what’s keeping you off the shortlist and a plan to fix it.

• AI Search Optimization Isn’t The Hard Part – It’s Getting Buy-In via @sejournal, @gregjarboe
• Google’s Mueller Explains How AI Search Impressions Get Counted via @sejournal, @MattGSouthern