Image search is a search channel of its own. Shoppers browse product photos before they read a product page, designers look for references, and a well-placed image can bring visitors that a text result never would. At the same time, image search is where a brand discovers its product photos on sites it never authorised.
Both uses need the same thing: image search results collected reliably, at scale, from the markets that matter. A SERP API that covers Google Images, and reverse image search, turns those results into structured data. This guide covers what teams use it for, how to collect it well, and a small set of tested helpers for the two most common analyses.
Two kinds of image search data
| Search | You send | You get | Typical use |
|---|---|---|---|
| Image search | A query, such as “oak standing desk” | The images Google shows for it, and the pages they come from | Visibility tracking, content research |
| Reverse image search | An image URL | Pages across the web that host the same image | Finding copies, licensing and brand checks |
Image search answers “who shows up for this term?”. Reverse image search answers “where does this picture appear?”. Most programmes use both.
What teams use it for
Image SEO and visibility. Which sites hold the top image results for your product terms, how much of that space is yours, and how it changes after you improve image file names, alt text, page context or structured data. This is the image counterpart of ordinary rank tracking, and the same discipline of SEO monitoring applies.
Content and market research. What images appear for a category tells you which styles, angles and products a market responds to, and which competitors invest in visual content.
Brand protection and licensing. Reverse image search finds product photos and marketing images on sites that never licensed them: counterfeit listings, scraped catalogues and unauthorised resellers. That is a core input for brand protection work, and the start of an evidence trail; our guide to court-ready evidence from counterfeit listings covers what to do once you find them.
Feeding visual data pipelines. Retail, real estate and design teams collect image results to build reference sets and compare how products are presented across markets.
Collecting it well
Fix the location. Image results, like web results, vary by country and city. Set the location explicitly on every request and keep it the same between runs. Our guide to geo-targeted SERP APIs for local SEO explains why the location parameter matters so much.
Keep the query set stable. Track the same terms each time, so changes reflect the results, not your inputs.
Store the raw response. Keep each run’s full results with time and settings, so you can re-check a finding or re-run an analysis later.
Collect at a sensible cadence. Image results change more slowly than prices. Weekly tracking is enough for visibility; reverse image checks for brand protection are often run on new images at launch and then monthly.
Do not download what you do not need. For visibility and brand checks, the page URL and position are usually enough. Fetching every image file adds traffic and storage without adding insight, and the images belong to their owners.
The helpers
The module below builds the request parameters for both searches and implements the two analyses most teams start with: visibility share per query, and unauthorised hosts for a reverse image search. Map each result’s position and page URL from the API response into the simple record shape shown; the analysis works the same whichever fields your provider returns.
from collections import Counter
from urllib.parse import urlparse
def image_search_params(query, location, api_key="YOUR_API_KEY"):
"""One Google Images search, as seen from `location`."""
return {"engine": "google_images", "api_key": api_key, "q": query, "location": location}
def reverse_image_params(image_url, api_key="YOUR_API_KEY"):
"""Pages that host a given image."""
return {"engine": "google_reverse_image", "api_key": api_key, "image_url": image_url}
def domain(url):
host = urlparse(url).netloc.lower()
return host[4:] if host.startswith("www.") else host
def visibility(results, top=20):
"""Share of the top image results each website holds, per query.
results: [{"query": ..., "position": 1, "page_url": ...}] mapped from the API response.
"""
shares = {}
for query in sorted({r["query"] for r in results}):
rows = sorted((r for r in results if r["query"] == query), key=lambda r: r["position"])[:top]
counts = Counter(domain(r["page_url"]) for r in rows)
shares[query] = {d: round(c / len(rows), 2) for d, c in counts.most_common()}
return shares
def unauthorised_hosts(hosting_pages, allowed_domains):
"""Pages hosting your image on a domain you have not licensed it to."""
allowed = {d.lower() for d in allowed_domains}
return sorted({domain(u) for u in hosting_pages} - allowed)Run on illustrative results (not real sites):
from images import unauthorised_hosts, visibility
results = [ # illustrative results for one query, mapped into the shape above
{"query": "oak standing desk", "position": 1, "page_url": "https://www.ourshop.com/desks/oak"},
{"query": "oak standing desk", "position": 2, "page_url": "https://bigmarket.com/item/123"},
{"query": "oak standing desk", "position": 3, "page_url": "https://ourshop.com/blog/setup"},
{"query": "oak standing desk", "position": 4, "page_url": "https://designmag.com/home-office"},
]
print(visibility(results))
hosting = ["https://ourshop.com/desks/oak", "https://authorised-dealer.com/oak",
"https://cheapdesks.biz/listing/77"]
print(unauthorised_hosts(hosting, allowed_domains=["ourshop.com", "authorised-dealer.com"])){'oak standing desk': {'ourshop.com': 0.5, 'bigmarket.com': 0.25, 'designmag.com': 0.25}}
['cheapdesks.biz']For the query, the store holds half of the top image results across two of its pages, which is a strong position. The reverse image check finds the product photo on one domain the brand never authorised.
Run the visibility report weekly per market and watch the store’s share over time; run the reverse image check on every new product photo and then periodically, and review each new domain it reports.
Reading the results with care
- Image results are more volatile than text results. Small changes in layout and personalisation can reorder them. Act on trends across runs, not on a single change.
- A copy is not always infringement. Authorised resellers, press coverage and marketplaces you sell on will all host your images. Keep the allowed list current and review new domains before acting.
- Visibility is not traffic. A top image result earns clicks only if the page behind it is relevant. Pair image visibility with your own analytics.
Image search sits alongside the other Google surfaces most teams already track. Our overview of how SEO platforms use SERP APIs covers web results, and our guide to Google Shopping APIs covers product listings.
FAQ
What is a Google Image Search API?
A service that runs Google Images searches for you and returns the results as structured data: the images shown for a query and the pages they come from, as seen from the location you choose.
What is reverse image search used for in business?
Mostly for finding where an image appears online: unauthorised copies of product photos, counterfeit listings, scraped catalogues and uses of licensed images outside their terms.
How often should I track image search results?
Weekly is enough for visibility tracking in most markets. For brand protection, check new images when they are published and then monthly, or more often for products that are frequently copied.
Do I need to download the images?
Usually not. For visibility and brand protection, the page URL and position are enough. Downloading images adds traffic and storage, and the files belong to their owners.
The bottom line
Image search data answers two questions: who is visible for the terms that matter, and where your images appear. Collect it with a fixed location and query set, keep the raw results, and turn each run into a visibility share and a list of new hosting domains. Tracked over time, those two reports show whether your image SEO is working and where your photos are being used without permission.