Inland Empire Local SEO
Report 2026

Between May 12 and May 13, 2026, we ran 5×5 geographic grid scans across 20 Inland Empire and LA County–adjacent cities using Local Falcon, the standard tool for measuring share of local voice in Google Maps results. Each scan was identical in shape: a 5×5 grid centered on the city’s downtown reference point, 2-mile radius, single keyword local seo [city], with the city name swapped in.

Total measurement points: 500 city grid points (20 cities × 25 points per scan) plus 25 industry-vertical points from the one comparison scan we ran for plumbing seo redlands. That is 525 individual SERP measurements over a single 48-hour window, on a single keyword pattern, all running on Local Falcon’s standard infrastructure.

We picked Local Falcon because its grid scans are reproducible: every scan returns a permanent report key, and that key resolves to the same heatmap if you load it tomorrow or next year. Every number in this report traces to a specific Local Falcon report key, and the full list of keys is in § 11 at the bottom of this page. If you want to verify any number, you can ask us for the report key by name and we will send it. No sign-up, no gated PDF.

What this report measures

• Unique competitor count — the total number of distinct Google Business Profiles that Local Falcon detected as eligible for any grid point in a given city.
• Active SoLV competitors — the subset of those GBPs that actually ranked somewhere in the 3-pack on at least one grid point. This is always a much smaller number than the unique count.
• Pack leader name and share of local voice (SoLV) — the GBP holding the highest position-weighted share of the 25 grid points, and that share expressed as a percentage.
• Pack leader Google review count — pulled from the leader’s public GBP at scan time. The single most useful number in this whole report.
• Average top-3 proximity distance — how far, on average, the top three ranking GBPs physically sit from the city’s downtown scan center. A high number here means Google is reaching across geography to fill the pack.

What this report does not measure

Every dataset has shape constraints. Here are ours, on the record:

• Single-snapshot data. Every number reflects pack composition on May 12–13, 2026. The IE local-pack is not static; a follow-up scan in three months will move some of these rankings.
• Single-keyword query. We ran local seo [city] in every market. Variants like seo agency [city], local search marketing [city], and digital marketing [city] would produce a richer picture — but at 80 separate scans instead of 20, the cost was not justifiable for a single research drop.
• 2-mile radius. Local Falcon’s default for small-to-mid cities. For larger metros like Riverside or downtown LA, a wider radius would capture more of the actual market, but we wanted comparable grid geometry across all 20 cities and 2 miles was the only spacing that worked at both ends of the population range.
• Maps results only. The Google local pack is a Maps surface. Organic blue links and paid SEM are not in this dataset.
• Agency vertical only for the 20-city scans. We ran one comparison scan in the plumbing vertical (§ 04) to show how the asymmetry plays out across industries, but the 20-city sweep is agency-versus-agency.

We are publishing the limitations alongside the findings because anyone citing this work will be asked exactly these questions, and the answers should be on the same page as the numbers.

The single most useful framing of the dataset: how many agencies actually rank in each city’s local pack, versus how many Google has on file as eligible.

The takeaway in one sentence: for any given IE city, between 5 and 17 agencies are actually competing for the local pack — even when Google has 19 to 49 different GBPs categorized as eligible. Most “competing agencies” are categorized in the area but invisible in the rankings. The gap between the lime bar and the ghost bar for every row above is the addressable opportunity in that market: GBPs Google already considers relevant, but that have failed to claim any share of the pack on the only keyword that matters.

Every row below is one Local Falcon scan. City links go to our market-specific local-SEO pages where each city’s competitor landscape is broken out individually. The pack-character column at the right is our editorial summary of the row, defined under the table.

The most useful contrast in the dataset: two scans we ran in the same city — Redlands — for two different keywords. Same 2-mile radius, same grid geometry, same week, same tool. The only thing that changed was the search term. Google’s NLP did the rest.

Scan A — local seo redlands (agency vs. agency)

Scan B — plumbing seo redlands (service business vertical)

Google’s NLP skews this pack toward actual service businesses, not agencies that work with them. Same city, same radius, same week.

Same city, same 2-mile radius, same grid methodology. Top 3 plumber review counts: 513, 917, 110. Top 3 agency review counts: 3, 11, 8. The absolute review depth between the two packs differs by more than two orders of magnitude.

This is the central asymmetry of the IE local-SEO market:

• In service-business verticals (plumbing, HVAC, electrical, roofing, garage-door, chimney sweep), review velocity is the moat. The pack leader has hundreds of reviews; a small operator without that base cannot break in on relevance signals alone. Google’s prominence weighting is doing its job — for end consumers searching for a real service, reviews are the strongest available proxy for service quality, and the algorithm reflects that.
• In agency-vs-agency competition (any pack we scanned with local seo [city]), review depth is almost entirely absent across the field. Pack leaders win on GBP category cleanliness, NAP consistency, on-page schema, and proximity. Reviews still matter, but the bar is set by competitors who do not have them either.

Practical implications: if your competitors run 100+ reviews, you cannot rank without matching the curve. The plumbers in Redlands’s plumbing pack reached their position by collecting hundreds of reviews over years — and any new plumber entering the market has to start from where they are, not where the leaders are.

For the IE marketing agency, on the other hand, the field is wide open for anyone who runs a real review-request cadence. The agencies currently leading local seo redlands, local seo riverside, local seo san bernardino, and local seo corona have not built a review moat themselves — which means review discipline alone can move a new entrant into the top three within a single planning cycle.

Five Inland Empire pack leaders hold their top spot with zero or one Google reviews. This is the single most useful finding for any service business considering local-SEO investment in 2026. The chart below pairs leader SoLV against leader review count for these five cities so the asymmetry is visible at a glance.

Notable runner-up: In Fontana, Internet Marketing Agency Fontana CA holds 32% SoLV (a #3 pack position) with zero Google reviews — sitting behind a well-defended leader (covered in § 06). Fontana is not in the primary list because the #1 position is firmly held, but the #3 slot is held by an operator who has not built a defensive review base.

Why this matters

For any Inland Empire service business operating in one of these five cities, the Maps 3-pack for local seo [city] is held by an operator who has not built a defensive review base. The pack will not stay that way. Within 12 months, one of three outcomes:

1. The incumbent zero-review leader starts collecting reviews and converts the position from “held on relevance” to “defended by reviews.” This is the most predictable path; once an operator realizes they hold a top position, they almost always start asking customers for reviews to protect it.
2. A new entrant runs a 6-month review-request cadence and overtakes the position on prominence signal. This is the scenario that motivated this report.
3. Google’s algorithm shifts review weight upward and the zero-review leaders drop overnight. Less likely on a 12-month horizon but worth flagging; Google has done it before, and the prominence weighting in the local pack has been rising in importance for several years now.

Our money is on scenario 2 in San Bernardino and Moreno Valley (large population, real consumer demand, and any well-run operator targeting these markets will build review velocity by default) and scenario 1 in Corona and Rialto (incumbents likely defend once they realize the position is exposed). Mentone is small enough that the pack composition is more sensitive to single-operator decisions than to market forces; whoever decides to defend or contest first wins.

Three cities in the 20-city scan have a pack leader whose review depth puts them firmly in “defended” territory — the operator has built a review base substantial enough that displacing them would require a multi-year, multi-channel effort. These are not zero-review leaders. These are operators who have treated reviews as the moat for several years.

Honorable mention: Beaumont’s Fluent Designs (92% SoLV, 21 reviews at 5.0 average) is the highest-reviewed leader of any city under 100k population in the dataset. Not in the “defended” tier above because at 92% SoLV the position is shared rather than locked, but the review count alone signals an operator running the discipline.

For service businesses or agencies operating in any of the defended cities: plan for a longer ramp. First-quarter results in a defended market look like single-grid-point gains, not pack capture. You can absolutely move into the top 5 with disciplined work; pushing the incumbent off the #1 grid position is a 12-to-24 month exercise that requires either matching their review curve or out-flanking them on a keyword variant they have not optimized for.

The opposite is also true: in an Open or Contested pack (see § 03), a six-month effort can win the leader position outright. The labor input is similar — same GBP discipline, same review cadence, same on-page schema — but the return on that labor depends entirely on which kind of pack you walked into.

Local Falcon reports an average top-3 proximity distance — how far, on average, the top three ranking GBPs physically sit from the city’s downtown scan center. In a healthy local pack this number sits between 1 and 3 miles: the pack is filled by operators who are actually inside the city the search is asking about. In four IE cities the number is dramatically higher.

What this signals: if you operate in Fontana, Moreno Valley, Upland, or Riverside, the agencies currently winning your city’s local-SEO pack are not your neighbors. A disciplined in-city operator with a verified address and clean NAP has a structural advantage Google has not yet found and given weight to. The geographic dimension of the prominence signal is unusually weak in these four cities, and an operator who fixes that on their own GBP can shift the balance.

The inverse cities — Pasadena (2.03 mi), Rancho Cucamonga (2.45 mi), Redlands (2.57 mi), Los Angeles downtown (2.71 mi) — are markets where the geographic dimension is working as you would expect. Leaders are downtown-clustered, in-city, and the proximity signal is doing its job. Entering one of these markets means competing against operators whose physical location is already correct; you cannot win on proximity alone.

SoLV definition

Share of local voice is the percentage of grid points (out of the 25 in each scan) where a given GBP appears in the local-pack ranking, weighted by position. A GBP that appears in position #1 across all 25 grid points scores 100% SoLV. A GBP that appears in position #2 across 22 grid points and never in position #1 would score somewhere in the 70s. The exact weighting is Local Falcon’s; we use their standard calculation across all 20 cities so the metric is internally comparable.

Why local seo [city]?

Consistency across cities. We needed one keyword pattern to apply identically to all 20 markets, and local seo [city] produces a pack composed of marketing agencies in every city we tested. Variations like seo agency [city], local search marketing [city], and digital marketing [city] would produce a richer dataset and probably reveal differences in which agencies rank for which intent variants — but at 80 separate scans for a 20-city sweep, the marginal data was not worth the cost on the first release.

Why a 5×5 grid at 2 miles?

Local Falcon’s default for small-to-mid-size cities. It is the industry-standard tradeoff: granular enough to detect packs that vary within the city, narrow enough that the search center is consistent. For very large cities (Riverside, downtown LA, the Pomona valley) a wider radius would catch more of the actual market, but matching grid geometry across all 20 cities mattered more than per-city tuning for this comparative work.

Snapshot date is load-bearing

All numbers in this report reflect local pack composition on May 12–13, 2026. The IE local-pack is not static; specific operators come and go on a quarterly cadence. We will refresh this report annually each May, in place, on the same URL. Citations that reference specific operators (Marketing 720, Go Maven Media, SERP Co, etc.) should be qualified as “as of May 2026” in any republished work.

Raw data and verification

Every scan’s Local Falcon report key is listed in § 11. The keys are permanent — if you load the same key tomorrow or in two years it resolves to the same heatmap. We are happy to send the original Local Falcon report PDF for any city to journalists, publication editors, or chamber/trade-association researchers on request. Email contact@softwarestrategists.com with the city name in the subject line and we will send the same business day.

SoftwareStrategists is a Redlands, CA–based local-SEO and websites studio for Inland Empire service businesses. We do Google Business Profile work, schema-marked websites, citation management, and review cadence for plumbers, HVAC contractors, roofers, electricians, and other trades. Our home page and services page cover the operating details — pricing is published, engagements are month-to-month, and we work primarily in the IE because the IE is where we live.

We built and published this report because we run geo-grid scans every week for client engagements, and the data has obvious public interest. The Inland Empire is one of the largest regional economies in California with no published local-SEO competitive landscape research that we could find. So we published one. We will refresh annually each May, on this URL, with the same methodology so year-over-year comparisons remain valid.

If you operate a service business in any of the 20 cities covered above and want a one-off free geo-grid scan for your own GBP, the offer that appears on every page of this site applies here too: email or call, name the city and the keyword you want scanned, and we will run it and send the heatmap. No deck, no pitch — just the data. The link is on the contact page.

All scans run May 12–13, 2026, 5×5 grid, 2-mile radius. Each entry is a permanent Local Falcon report key resolvable via Local Falcon’s API. Email contact@softwarestrategists.com to request the original Local Falcon PDF for any scan.