The Google Possum Update was a local search algorithm change in September 2016 that made local results highly sensitive to the searcher's exact location and introduced address-based filtering. Multiple businesses at the same address targeting the same keywords now get filtered — only one typically appears in the local pack per query.
Named by the SEO community for listings that appeared to "play dead" and vanish from results, the Possum Update fundamentally changed the geography of local rankings. Where you search from now determines what local results you see.
What is the Google Possum Update?
The Google Possum Update was released in September 2016 without an official Google announcement. The name was coined by the SEO community after observing listings disappear and reappear depending on searcher location — like an opossum playing dead.
Two mechanisms define Possum:
- Location-based variation. Local pack results shifted from relatively static metro-area displays to dynamic, location-sensitive outcomes. Searching "dentist near me" from the north side of Dallas now returns different businesses than the same search from the south side.
- Address-based filtering. Multiple businesses sharing a physical address and targeting overlapping keywords get filtered — typically only one appears in the local pack per query. The filtered business isn't penalised; it simply doesn't appear for that particular searcher or keyword combination.
Possum filtering only affects the local pack — the 3-result map box at the top of local search results. Organic web results below the pack were not changed. A filtered business can still rank organically and still appears when the search is slightly varied.
Why does the Google Possum Update matter?
Possum permanently changed how you must think about local rank tracking and strategy. Four specific implications:
- Rankings now vary by searcher location. Your rank 1 position from your business address means nothing about how you appear to a customer two miles away. You may be invisible to half your service area.
- Suburban businesses gained ground. Pre-Possum, downtown businesses dominated because Google centered local results on city centres. Post-Possum, a business in a suburban location now ranks well for nearby searchers without competing against downtown authority.
- Shared addresses became liabilities. Virtual offices, co-working spaces, and multi-business suites saw their listings filtered. Two lawyers at the same address targeting "personal injury attorney [city]" compete for the single local pack slot.
- Geo-grid tracking became essential. Single-point rank tracking (checking from one location) became meaningless. Accurate local SEO monitoring requires checking rankings across a grid of locations across your service area.
How the Google Possum Update works
Possum operates through three interconnected mechanisms:
Location-based result variation
Google calculates distance from the searcher's device coordinates to each business location. The weighting of that distance signal increased substantially with Possum. A 4-mile radius dentist visibility in pre-Possum local results shrank to a 2-mile effective radius in many markets post-Possum.
Address filtering logic
When two businesses share an address and both optimise for similar primary categories or keywords, Google filters one out of the local pack for any given query. The filter is not a penalty — the filtered business still has a live GBP and can appear for different keyword variations or from different searcher locations.
Category and keyword interaction
Filtering decisions are influenced by primary GBP category, service keywords, and the degree of category overlap between co-located businesses. A law firm and an accountancy at the same address may each appear in their respective category searches — the filtering triggers when categories overlap.
Possum filtering scenarios — what triggers it
| Scenario | Possum effect | Solution |
|---|---|---|
| Two lawyers at same address | One filtered per query | Differentiate primary categories, move to unique address |
| Virtual office shared by 10 businesses | Heavy filtering, most invisible | Use a real unique address or service-area listing |
| Single business, multiple GBP listings | Duplicate filtering, primary listing survives | Merge duplicate listings in GBP dashboard |
| Suburban business near city centre competitor | Gains ranking for nearby searches post-Possum | No action needed — Possum works in your favour |
Real Google Possum Update examples
Example 1 — The vanishing listing
A marketing agency shared office space with two other marketing firms at a downtown address. After Possum, all three were filtered in rotation — each appearing for some queries and disappearing for others. The agency relocated to a unique address and recovered stable local pack presence within 60 days.
Example 2 — Suburban dentist gains on downtown competitor
A dentist practice in a suburb 4 miles from the city centre had been outranked by downtown practices for all "dentist near me" queries before Possum. Post-update, the practice ranked in the local pack for searchers within 2 miles — capturing the suburban patient base it had been invisible to before.
Example 3 — Geo-grid reveals invisible zones
A plumber tracking rankings from their office address showed position 1 for "emergency plumber [city]." A geo-grid check revealed they were invisible to searchers in 60% of their service area. Targeting location-specific content and citation building for underperforming zones improved coverage to 80% of the service area within 4 months.
Google Possum Update vs Google Vicinity Update — which matters more now
Possum (2016)
- Results vary by exact searcher location
- Address-based filtering for co-located businesses
- Suburban businesses gained visibility
- Geo-grid tracking became necessary
- Primary category differentiation matters
Vicinity (2021)
- Proximity reweighted as dominant local signal
- Keyword stuffed GBP names penalised
- Nearby businesses with less optimisation can outrank
- Service area declarations mattered less
- Physical closeness to searcher became primary
6 best practices for the post-Possum local landscape
- Use geo-grid rank tracking. Tools like Local Falcon, Local Viking, or BrightLocal's grid tracker show your ranking at dozens of points across your service area — not just from your address. Do this before any optimisation so you know where your invisible zones are.
- Secure a unique physical address. If you're using a shared office or virtual office, Possum filtering will suppress your listing regularly. A unique, verifiable address is the cleanest fix.
- Differentiate GBP categories from co-located businesses. If you must share an address, ensure your primary category is clearly distinct from co-tenants. A plumber and an electrician at the same address filter less than two plumbers.
- Build prominence signals across your service area. Reviews, citations, and local content that mention specific neighbourhoods and service areas reduce the impact of proximity-based filtering by strengthening your overall local authority.
- Target location-specific content. Blog posts covering hyper-local topics — "best dentist in [neighbourhood]" — signal relevance to Google for areas outside your immediate proximity radius.
- Keep GBP categories accurate and specific. Possum uses category data in filtering decisions. Broad or inaccurate categories increase the chance of being filtered alongside unrelated co-located businesses.
Checking your rank from one location (your office or home) tells you almost nothing post-Possum. A rank-1 result at your address may be rank-7 or invisible two miles away. Always use geo-grid tools before reporting local SEO results to clients or stakeholders.
Common mistakes businesses make after Possum
- Using virtual office addresses. Virtual offices shared by many businesses are high-risk for Possum filtering. The suppression compounds when other tenants target similar keywords.
- Not differentiating GBP categories. Businesses at shared addresses need clearly distinct primary categories. Co-located law firms both using "Personal Injury Attorney" as primary category will both get filtered.
- Treating rank-1 at one location as overall success. Your ranking from the office address is a single data point, not a performance metric. Geo-grid visibility is the real metric.
- Ignoring the organic results. Possum only affects the local pack. Building strong organic rankings means you appear below the local pack even when filtered from it.
- Creating duplicate GBP listings. Multiple listings for the same business trigger aggressive filtering. Audit your GBP regularly for duplicates and merge them.
Frequently asked questions about the Google Possum Update
Yes. Address filtering and location-based variation are permanent features of Google's local algorithm. There is no reverting to pre-Possum behaviour.
Use geo-grid rank tracking tools like Local Falcon, Local Viking, or BrightLocal's grid tracker to check rankings across your entire service area — not just from your office address.
Differentiate your GBP categories and services from co-located businesses, strengthen review signals, and ensure your primary category doesn't overlap. Relocating to a unique address eliminates filtering entirely.
Possum made local results location-sensitive. Searches from different streets within your city return different local packs. You may rank for someone half a mile away but not for someone two miles out.
No. Possum only affected the local pack. Organic web results below the local pack were not changed by the Possum Update.