We analyzed 65,388 Google Lens search results to better understand how visual search works.
Specifically, we looked at potential ranking factors that Google may use in its Lens algorithm, including:
- Alt text
- Domain Authority
- URLs
- Title tags
- Responsive design
And in this post Iβm going to share what we discovered.
A Summary of Our Most Interesting Findings is As Follows:
1. 32.5% of all Google Lens results have a βmatchingβ keyword in the pageβs title tag. Therefore, keyword-optimized title tags may help a page rank in Google Lens.
2. A high proportion of Google Lens results are pulled from images high up on a page. In fact, approximately 1/3rd of all Google Lens image results appear in the top 25% of a web page.
3. 11.4% of all Google Lens result images contain alt text terms that match the keyword someone just searched for.
4. Authoritative pages and websites appear to have a ranking advantage in Google Lens. Google Lens results have an average Moz Page Authority of 35.2 and a Domain Authority of 64.4.
5. Google Lens may confer a ranking advantage to sites that work well on mobile devices. 90.6% of all Google Lens results come from mobile-friendly websites.
6. Google Lens results come from relatively slow-loading pages. In fact, the average First Contentful Paint load time for a Google Lens result is 3,186ms.
7. Pinterest and Amazon are the two top-performing websites in Google Lens. 7.2% of all Google Lens results come from Pinterest, while 4.1% are from Amazon.
8. Keyword-rich URLs correlate with Google Lens rankings. 29.9% of the Google Lens results in our analysis had an associated keyword in the pageβs URL.
9. Responsive images donβt appear to confer a major ranking advantage in Google Lens. Only 13.1% of Google Lens images are responsive.
10. Images with filenames that βmatchβ a Google Lens search appear to rank more often than images with a missing or irrelevant filename. We found that 22.6% of Google Lens result images had a filename that matched the Google Lens search.
11. Websites that rank seem to have an edge in Google Lens. We discovered that 15% of all Google Lens results also rank on the first page of Google organic for the same search term.
12. The average visual search result page contains 1,631 words. Considering that Google uses text around an image to understand an imageβs content and context, this finding makes sense.
Keyword-Rich Title Tags and URLs Correlate With Google Lens Rankings
With Google Lens, the image that you search with is your βkeywordβ.
We used the Google Vision API to turn those visual searches into text-based keywords.
This allowed us to analyze visual search terms as text-based entities (using labels from Google themselves).
For example, take this Google Lens βkeywordβ:
The Google Vision API turned that image into a βbest guess labelβ: βcatβ.
We then looked at whether that text-based label correlated with potential Google Lens ranking factors.
In fact, thatβs how we were able to correlate title tag keywords and Google Lens rankings.
We found 32.5% of pages that rank in Google Lens have a keyword in their title tag that matches the search imageβs Google Vision label.
For example, here is one of the visual searches from our dataset.
Sure enough, Google Visionβs label (βtesla cybertruckβ), appears in the title tag for that page.
Google has previously stated that they use a pageβs title tag to rank Google Images results.
It would make sense that theyβd also use keywords in a pageβs title tag for Google Lens rankings.
In other words, Google may prefer images on pages βaboutβ that image vs. pages that have a matching image in the middle of an otherwise irrelevant page.
Indeed, thatβs what our data showed.
Key Takeaway: Pages with titles and URLs that βmatchβ a Google Lens search term may have a rankings advantage over those that donβt. With visual search, the image that you search with is your βkeywordβ.
33% of Google Lens Result Images Appear Towards The Top of a Page
We found that 33.1% Google Lens results are from images from the top 25% of a webpage.
For example, take this result from our data set.
If you look at the page this image is pulled from, you can see that the image appears quite high on the page (well above the fold).
This finding is in line with Googleβs βMaking visual content more useful in Searchβ blog post.
In that post they state that the algorithm βprioritizesβ images high up on the page.
Our findings here are consistent with that statement.
Key Takeaway: Images that are higher up on a web page appear to have a significant ranking advantage in Google Lens.
A Fairly Low Number of Google Lens Result Images Contain Matching Alt Text
Googleβs Search Engine Optimization Starter Guide states that they use alt text to understand images in their index.
However, itβs not clear how important alt text is. Or whether itβs used in the Google Lens algorithm at all. Which is why we decided to see how often Google Lens result images had alt text that matched the visual search term that they ranked for.
We found that 11.4% of all Google Lens results contain alt text that βmatchesβ the best-guess label for the search image.
For example, the best-guess label for this visual search is βyoga posesβ.
And here are the results for that Google Lens search.
In this case, 2 out of the 4 Google Lens results contain βyoga posesβ in their alt text.
11.4% isnβt an insignificant number. But it doesnβt suggest a strong relationship. If alt text was an important part of the Google Lens algorithm, we would expect to see more of the results to have exact match or partial match anchor text.
Key Takeaway: 11.4% of Google Lens image alt text match the search term that they rank for. Therefore, alt text may play a minimal role in Google Lens optimization.
Google Lens Results Have a High Page Authority and Domain Authority
Itβs no secret that, all things being equal, an authority page on an authority site will outrank pages with less authority.
We wanted to know whether this same rule applied to Google Lens.
After all, Google themselves state that a recent visual search algorithm update made it so that authority pages had an edge in the results.
So we looked up Mozβs Domain Authority and Page Authority for each of our 65,388 Google Lens results.
And we found that Google Lens results tend to come from fairly authoritative sites and pages.
In fact, an average Google Lens result has a Page Authority of 35 and a Domain Authority of 64. Both fairly high.
It may be that Google directly uses link authority in the Google Lens algorithm. Or this relationship could simply be a case of βcorrelation not equaling causationβ.
Thatβs because a high DA and PA tend to be byproducts of publishing high-quality content. And high-quality content is something that Google states is extremely important for visual search rankings.
In fact, in Googleβs βGoogle Image best practicesβ documentation, they go as far as to say the quality of the content on the page is as important as the image itself.
Key Takeaway: We found that pages with a high Moz Domain Authority and Page Authority tend to rank well in Google Lens. This may be because Google Lens ranks pages with lots of backlinks. Or it could be that DA and PA are byproducts of publishing high-quality content.
The Vast Majority of Google Lens Results Come From Mobile-Friendly Sites
We found that 90.6% of all Google Lens image results are pages that pass Googleβs Mobile-Friendly Test.
It makes sense that Google Lens would prefer to rank sites that are optimized for mobile. After all, essentially 100% of Google Lens searches are done on mobile devices.
And it would be a pretty poor user experience to send users to sites that didnβt work well on mobile, even if the image itself was a great result for the search.
In fact, Googleβs recommendations for image SEO emphasize the importance of βdevice-friendlyβ web design.
Key Takeaway: Approximately 90% of all pages with images ranking in Google Lens are mobile-friendly.
The Average First Contentful Paint Loading Speed of a Google Lens Result is 3,186ms
We decided to see if page loading speed played a role in Google Lens rankings.
For this analysis we measured First Contentful Paint (FCP) speed for our 65,388 Google Lens results.
We chose FCP for the simple reason that FCP is the time that many of a pageβs assets (including images) appear. This is likely more important to someone conducting a visual search than Time to First Byte (TTFB), which doesnβt affect what users see on a page.
And we found that the average FCP for a Google Lens result was 3,186ms.
Based on recent page speed benchmarks, a 3,000+ FPC can be considered somewhat slow. However, this finding needs to be taken into context.
Pages that rank well in visual search tend to be image-heavy. Which adds significant size to any page.
In fact, we found that the average Google lens result contains an average of 34 total images.
Thatβs a lot of images on a single page. And when you take that fact into account, an image-heavy page that takes 3,000ms to reach FCP isnβt so bad.
While Google hasnβt said whether speed plays a role in their visual search algorithm, they do recommend that people that want to rank in Google Images should speed things up.
So it could be that Google uses page speed as a visual search ranking signal. And that, due to the image-heavy nature of the pages that appear in visual search, 3,186ms puts a page into the top tier in terms of FCP.
Key Takeaway: Google Lens results donβt load significantly faster than the average webpage. In fact, the average Google Lens result FPC load time is 3,186ms. This may be due to the fact that visual search results tend to contain several high-quality images.
Pinterest and Amazon Rank For a Large Number of Visual Searches
Next, we decided to look at the distribution of websites that appear in Google Lens results.
Hereβs the full breakdown:
As you can see, Pinterest and Amazon rank significantly more often than any other site.
In fact, 1/10 Google Lens results come from these two sites alone.
This finding aligns with a lot of our findings thus far. Amazon.com and Pinterest.com both have a high Moz Domain Authority (96 and 94 respectively).
They also have fast loading times. And are built to be mobile friendly.
Importantly, both sites tend to have images appear at the very top of the page (usually above the fold).
However, outside of these outliers, Google Lens results are fairly diverse. 80.2% of Google Lens results are from the βotherβ category. Which means that no single set (or set of sites) completely dominates Google Lens results.
Key Takeaway: Pinterest and Amazon tend to rank most often Google Lens results. 11.3% of all visual search results are from these two websites.
Relatively Few Google Lens Images Are Responsive
Unlike some of the other factors that we analyzed, Google hasnβt stated that responsive images play a role in their visual search algorithm. But they do consider responsive images a Google Image SEO best practice because they βlead to better user experienceβ.
While that may be the case, we didnβt find a strong relationship between responsive images and visual search rankings.
In fact, only 13% of the results in Google Lens are responsive.
Key Takeaway: While responsive images may improve UX, they donβt appear to directly influence visual search.
Descriptive Image Filenames May Play a Role in Google Lens Results
Filenames have been an important Google Images ranking factor since its inception. Before Google gained the ability to recognize images with AI, they blindly trusted alt text and image filenames to understand the content of an image.
However, despite Googleβs image recognition technology coming a long way, they still rely on filenames.
Which may explain the fact that a high number of images in the visual search results (22.6%) have a filename that aligns with what the person searched for in Google Lens.
For example, this Google Lens result has a filename (astronaut-deep-space-image-science-fiction-fantasy-in-high-resolution-picture) that closely matches one of the Google Vision labels (βspace astronautβ) for the search image.
Key Takeaway: Google may use keywords that appear in an imageβs filename as part of the Google Lens algorithm.
Google Lens Results Often Also Rank in Google Organic
Googleβs visual search algorithm takes the relevancy of the page and website into account.
Hereβs an example that Google recently gave to explain how site relevancy impacts visual search results:
We wanted to understand how this potentially important ranking factor may impact Google Lens searches.
Unfortunately, there’s no way to βlook upβ the relevancy of a website. But we can use a siteβs organic Google rankings as a proxy measurement of relevancy.
For example, a site ranking highly in Googleβs organic search results for the keyword βorganic gardeningβ is considered by Google to be a relevant result for βorganic gardeningβ.
And that may give that site a visual search SEO edge for searches related to organic gardening.
Indeed, thatβs what the data in our analysis showed.
15% of the websites that rank in Google Lens also rank in Googleβs organic top 10 results for that same term.
For example, look at the #1 result in Google Lens when searching with an image of a mouse:
That result comes from corkyspest.com.
Google Vision describes this image as βcommon california miceβ.
Sure enough, when you search for βcommon california miceβ in Google organic, corkyspest.com ranks #1 for that same term:
Key Takeaway: 15% of all Google Lens results also rank on the first page of Googleβs βnormalβ organic search results.
The Average Word Count of a Google Lens Result Page is 1,631 Words
Our analysis found that Google Lens result pages tend to be fairly text-heavy. In fact, Google Lens images come from pages that contain an average of 1,631 words of text.
Why the relationship?
Well, Google officially recommends that βimages are placed near relevant textβ.
Thatβs because Google uses the text around an image to understand the content and context of that image.
Therefore, a page with considerable supporting text is going to have an advantage in visual search compared to a page thatβs made up of 100% images.
Key Takeaway: Pages with a large amount of supporting text may perform best in visual search. Google Lens result pages contain an average of 1,631 words.
Summary and Conclusion
Iβd like to thank Backlinkoβs CTO, Lloyd Jones, for leading this study.
And if youβd like to learn more about how we conducted this analysis, hereβs a PDF that details our methods.
Now Iβd like to hear from you:
Whatβs your #1 takeaway from this Google Lens study?
Or maybe you have a question about something that you read.
Either way, Iβd like to hear what you have to say. So go ahead and leave a comment below right now.