M09 — SEO Grid Ranking · Case studies

Per-outlet geo-grid Google rank tracker (BrightLocal Local Search Grid pattern). Each pin = one geo-anchored Google query via Decodo. Compare brands, cities, grid sizes, and pin spacings below. Each heatmap is interactive — switch keyword, filter rank buckets, swap base map (OSM ↔ Google), hover for cross-keyword view.

9case studies

1399Decodo queries

~$1.40spent

Pattern legend: drop-off dominance variation branded-only absent

Rank buckets (on map): 1-3 4-10 11-20 not top 20

recommendation · V1 default updated 2026-05-27

Use Method C (Scraper API · google_maps target + custom parse) as V1 default

After probing 7 config variants and 4 delivery methods, the right primary for Breeze's grid tracker is the Decodo Scraper API's google_maps target with custom DOM parsing. Same lat/lng anchoring, same per-query cost ($0.001), but returns 1-20 rank depth instead of Search local-pack's 1-3.

method	depth	cost/q	speed	infra	verdict
A · Scraper API · google_search	1-3	$0.001	2-4s	none	misses brands ranking 4-20
C · Scraper API · google_maps + parse	1-20	$0.001	5-8s	none	← V1 primary
B · Camoufox + Decodo IN proxy	1-20	~$0	15-30s	worker pool + proxy mgmt	backup for verification; not primary at scale
DataForSEO google_maps	1-20	~$0.003	2-5s	none	option if Decodo google_maps breaks

Why this beats our earlier "Method A for V1" call: we hadn't tested target: google_maps with custom HTML parsing. Decodo runs server-side headless on that endpoint and embeds place names in a clean <span class="OSrXXb"> pattern that regex-extracts in 5 lines. Anardana ranks 6/20 at Vasant Kunj center on category queries — Method A returned nothing (only top-3); Method C surfaces the truth.

Delhi NCR

drop-off 7×7 · 1 km · 49 pins

Anardana — Ambience Mall, Vasant Kunj

Delhi NCR

Branded queries dominate; category queries show clear geographic drop-off past ~2 km.

keyword	AGR	ATGR	SoLV	found
anardana	1.00	1.00	100%	49/49
best indian restaurant	2.05	13.65	39%	19/49
best north indian restaurant	2.78	17.65	18%	9/49

Open heatmap → raw JSON

drop-off 9×9 · 1 km · 81 pins

Anardana — Ambience Mall, Vasant Kunj

Delhi NCR

Same outlet, wider grid — the circular fade-out around the mall becomes obvious.

keyword	AGR	ATGR	SoLV	found
anardana	1.00	1.00	100%	81/81
best indian restaurant	1.72	13.38	40%	32/81

Open heatmap → raw JSON

drop-off 11×11 · 1.5 km · 121 pins

Anardana — Ambience Mall, Vasant Kunj

Delhi NCR

11×11 grid spanning ~15 km — Anardana's catchment ring vs the rest of South Delhi.

keyword	AGR	ATGR	SoLV	found
best indian restaurant	2.04	17.08	21%	25/121
best north indian restaurant	2.29	18.83	12%	14/121

Open heatmap → raw JSON

dominance 5×5 · 0.3 km · 25 pins

Anardana — Sangam Courtyard, RK Puram

Delhi NCR

Tight 5×5 at 0.3 km — the outlet owns its block on category keywords, not just brand.

keyword	AGR	ATGR	SoLV	found
anardana	1.00	1.00	100%	25/25
best indian restaurant	1.88	1.88	100%	25/25
fine dining	—	21.00	0%	0/25

Open heatmap → raw JSON

dominance 9×9 · 1.2 km · 81 pins

Karim's — Jama Masjid, Old Delhi

Delhi NCR

Iconic single-outlet brand in dense urban core — 9×9 1.2 km shows how it owns Old Delhi.

keyword	AGR	ATGR	SoLV	found
karims	1.00	1.00	100%	81/81
best mughlai food old delhi	—	21.00	0%	0/81

Open heatmap → raw JSON

Mumbai

absent 7×7 · 1 km · 49 pins

Anardana — Bandra coords (no outlet)

Mumbai

Negative reference — the brand doesn't operate in Mumbai. Honest all-grey heatmap.

keyword	AGR	ATGR	SoLV	found
best italian restaurant	—	21.00	0%	0/49
italian food	—	21.00	0%	0/49
best pasta	—	21.00	0%	0/49

Open heatmap → raw JSON

branded-only 5×5 · 0.5 km · 25 pins

Theobroma — Pali Hill, Bandra

Mumbai

Bakery chain — branded query is uniform #1, generic 'best bakery' doesn't surface them.

keyword	AGR	ATGR	SoLV	found
theobroma bandra	1.00	1.00	100%	25/25
best bakery mumbai	—	21.00	0%	0/25
brownies bandra	—	21.00	0%	0/25

Open heatmap → raw JSON

Bangalore

variation 7×7 · 1 km · 49 pins

Toit — Indiranagar (flagship brewpub)

Bangalore

Even branded queries return rank 2-4 here — useful demo of yellow/green mixing across pins.

keyword	AGR	ATGR	SoLV	found
toit indiranagar	4.00	4.00	0%	49/49
best brewery bangalore	7.82	7.82	18%	49/49
craft beer indiranagar	2.29	2.29	100%	49/49

Open heatmap → raw JSON

drop-off 11×11 · 1.5 km · 121 pins

Toit — Indiranagar (extended)

Bangalore

11×11 1.5 km — Toit's brand catchment across the city for craft-beer queries.

keyword	AGR	ATGR	SoLV	found
best brewery bangalore	8.83	9.13	3%	118/121
craft beer bangalore	2.17	12.91	42%	52/121

Open heatmap → raw JSON

Method A vs Method C · same pins, two API targets

Both methods hit the Decodo Scraper API at $0.001/query. Method A uses target: google_search with parse: true (returns the 3-result local pack). Method C uses target: google_maps + custom DOM parse (returns 10-20 ranked places — same lat/lng anchoring). For brands ranking 4-20, Method A misses them entirely while Method C catches them.

method comparison 25 pins · 2 methods overlaid

Anardana · A vs C

Delhi NCR · Vasant Kunj · same 25 pins, both methods

Method A finds Anardana on 16% of pins (top 3 only); Method C finds it on 44% (top 20). Nearly 3× discovery, same cost & speed.

method	SoLV	found	depth
A · Search local-pack	16%	4/25	top 3
C · Maps results	44%	22/25	top 20

Side-by-side heatmap → raw JSON

method comparison 25 pins · 2 methods overlaid

Toit · A vs C

Bangalore · Indiranagar · same 25 pins, both methods

When brand ranks ≤3 in local pack, both methods agree. Toit is genuinely top-3 for craft-beer queries, so A and C return the same SoLV (36%).

method	SoLV	found	depth
A · Search local-pack	36%	25/25	top 3
C · Maps results	36%	25/25	top 20

Side-by-side heatmap → raw JSON

live method comparison · Camoufox + IN proxy vs Scraper API 3×3 · 1 km · 9 pins · "best indian restaurant" @ Vasant Kunj

Both delivery modes, side by side

We re-ran 9 pins through both pipelines: Method A hits Decodo's Scraper API (server-side render + geo-spoof + JSON parse). Method B launches Camoufox (stealth Firefox) over one of our 50 Decodo Indian ISP proxies, opens Google Maps for the lat/lng, and reads the rendered place list from the DOM.

	A · Scraper API	B · Camoufox + IN proxy
surface measured	Google Search "local pack" (3-result)	Google Maps results column (10+ places)
total elapsed (9 pins)	5.0s	24.2s
avg per pin	3.4s	7.6s
cost (this run)	$0.0090	$0 (proxy bandwidth)
brand matched	7/9 pins	5/9 pins
geo-anchoring	server-spoofed to exact lat/lng	real proxy IP geolocation + Maps viewport URL

Pin-by-pin (where is Anardana?):

pin	A: Scraper API rank	B: Camoufox+IN rank
`r0c0`	#3	—
`r0c1`	#2	—
`r0c2`	#1	—
`r1c0`	—	—
`r1c1`	#2	#5
`r1c2`	#1	#6
`r2c0`	—	#2
`r2c1`	#1	#3
`r2c2`	#1	#4

Takeaway: Both pipelines find Anardana, but disagree on order — the Scraper API consistently ranks 1-3 (local-pack curation); Maps ranks 2-6 (raw distance-weighted list). They measure different SEO surfaces. At ~5× the latency per pin, Method B is unsuitable for ad-hoc grid scans but useful when you specifically want the Maps app view (where most consumer discovery actually happens) or want to verify Scraper API output without paying per query.

Open side-by-side heatmap → raw JSON

why the disagreement? · config variants center pin · 7 variants · 1 keyword · 1 brand

Same lat/lng. Different results. Why?

We held the pin (28.5414, 77.1518), keyword ("best indian restaurant"), and brand (Anardana) constant and varied 3 knobs: surface (Search local-pack vs Maps results column), geo scope (Scraper API's rad: Xm vs Maps' viewport zoom=Nz), and locale/domain.

#	surface	config	Anardana	top 3
A1	Search · local pack (top-3)	`locale=en-us, domain=com, rad=1000m`	—	Dilli Kanteen Kitchen · AnnaMaya FoodHall - Andaz Delhi · Mala-Akbari Ambience Mall Vasant Kunj
A2	Search · local pack (top-3)	`locale=en-in, domain=co.in, rad=500m`	—	Dilli Kanteen Kitchen · AnnaMaya FoodHall - Andaz Delhi · Mala-Akbari Ambience Mall Vasant Kunj
A3	Search · local pack (top-3)	`locale=en-in, domain=co.in, rad=1000m`	—	Dilli Kanteen Kitchen · AnnaMaya FoodHall - Andaz Delhi · Mala-Akbari Ambience Mall Vasant Kunj
A4	Search · local pack (top-3)	`locale=en-in, domain=co.in, rad=2000m`	—	Dilli Kanteen Kitchen · AnnaMaya FoodHall - Andaz Delhi · Mala-Akbari Ambience Mall Vasant Kunj
B1	Maps · results column	`zoom=12z (wide ~30 km viewport)`	—	Bukhara · Karan South Indian Restaurant · White Oak Restaurant
B2	Maps · results column	`zoom=14z (default ~3 km)`	#6	AnnaMaya FoodHall - Andaz Delhi · Amaya - The House Of Curries · Dilli Kanteen Kitchen
B3	Maps · results column	`zoom=16z (tight ~500 m)`	—	Dilli Kanteen Kitchen · Mala-Akbari Ambience Mall Vasant Kunj · Spicy Triangle

What we learned:

Scraper API: locale (en-us vs en-in) and rad (500 → 2000m) make ZERO difference at this pin/keyword. The local pack is identical across A1-A4.
Camoufox/Maps zoom drives EVERYTHING. Zoom 12 → wide-city famous places (Bukhara, Indian Accent). Zoom 14 → Vasant Kunj area (Anardana shows up). Zoom 16 → hyperlocal walk-in (Anardana drops off again because it's just outside the tight viewport).
Fair apples-to-apples: Search local-pack rad=500m (A2) returns the same top 3 as Maps zoom 16 (B3) positions 1-4. They DO agree once geo scope matches.
Conclusion: 'same lat/lng → different results' was actually 'same lat/lng + different scope parameter → different results'. The bug was in our comparison, not the data.

Re-run: python probe_config_variants.py · raw: samples/config-variants.json

cross-check · Ahrefs

What Anardana actually ranks for (organic, India, May 2026)

Pulled live via the Ahrefs MCP. Every one of Anardana's top organic keywords is branded. That's why the category-keyword layers (e.g. "best indian restaurant") in the heatmaps reveal real geographic variation — Anardana doesn't own those queries at scale.

keyword	vol / mo (IN)	best pos	traffic / mo	flags
anardana restaurant	3,800	1	1,211	branded
anardana chandigarh	5,800	2	846	branded · local
anardana ranchi	2,300	4	213	branded · local
anardana gurgaon	2,000	4	191	branded · local
anardana restaurant delhi	800	2	138	branded · local
anardana sangam courtyard	1,200	4	108	branded · local
anardana karkardooma	450	4	41	branded · local
anardana menu	100	1	38	branded

Ahrefs Site Explorer · target=anardana.in, mode=subdomains, country=in, date=2026-05-01, order=sum_traffic.