Image Search, Image Query Mapping and Image Optimization
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How Google has made image search more semantic, and how that can be helpful for doing keyword reseach and content creation.
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Image Search, Image Query Mapping and Image Optimization
- 1. Image Search, Image Query Mapping and Image Optimization Bill Slawski Author at SEO by the Sea Director of SEO Research at Go Fish Digital
- 2. Google Added Entities to Reverse Image Search (2013) Improving Photo Search: A Step Across the Semantic Gap https://ai.googleblog.com/2013/06/improving-photo-search- step-across.html Google started labeling images using Entity MIDs (Machine Identification Numbers) These are the Same MIDs that Google uses to identify topics in Google Trends, which allows them to track searcher interest in Entities that searchers look for. Google Reverse Image Search Correctly identified the Kind of Cactus that is growing on my back patio as a San Pedro Cactus or an Encinopsis pachanoi.
- 3. Google Trends – Tracking Interest in Entities In Google Trends, I had a choice between a “search term” and “Plants.” Choosing other than the “search term” Allowed me to see entity search trend information, for this specific Type of plant. Google Trends refers to entities as topics, and Using trends allows you to track how much Searcher interest there is a a specific entity Over time.
- 4. Entities in Google Trends . . The MID for a San Pedro Cactus is /m/02yhp1 According to the URL for it in Google Trends. This is the same MID For it in Google’s Knowledge Graph. %2F = / in URL Encoding %2Fm%2FO2yhp1 = /m/O2yhp1 (the MID for a San Pedro Cactus)
- 5. In the Knowledge Graph Search API Explorer
- 6. Google Image Search Results Are More Semantic … Google Image Search Labels Becoming More Semantic? https://www.searchenginejournal.com/google-image-search-labels-becoming-more-semantic/305157/
- 7. Benefits of Semantic Category Labels . 1. Can Visualize Different Aspects of Entities 2. Can See Entities that are in a Hierarchy 3. The Entities that are shown are in an Ontology, because they are related 4. Search for a place, and See the Entities within it 5. Search for a Person, and Learn about their history 6. Search for a Term you are optimizing, and you can see related categories
- 8. Carlsbad Ca. Image Search Categories
- 9. Washington, DC Image Search Categories
- 11. John F. Kennedy Image Search Categories
- 12. Barack Obama Image Search Categories
- 13. Tom Hanks Image Reverse Search
- 14. Jane Fonda Image Search Categories
- 15. William Shakespeare Image Search Categories
- 16. Michelangelo Image Search Categories
- 17. Google Lens Recognizes Entities Google Lens is a search by Photography Approach from Google, and it can recognize Entities in Images and show search results based Upon those entities. It can select entities within a photo. Take a photo of a touring band, and Google will try to match up the MID of the Entity with Schema From the band’s website, and if the band is touring or has music For sale on the Web, it can show you ticket sales, and event Markup for a concert tour, or downloads or streaming media. Google Lens lets you take Photos of Barcodes for products So that you can find out more about those, or read reviews on them, which are good reasons to have product schema on your site
- 18. Google May Map Image Queries Google may map queries with images that may be searched on, like this skyscraper in London, known as “The Gherkin.” Queries that may be mapped to The Gherkin: How Tall is the Gherkin? How Do I get to the Gherkin? What Style of Architecture is The Gherkin? What Restaurant is in the Gherkin? Who Designed the Gherkin?
- 19. Being a Source of Questions and Answers about an Image Could Be Wise Mapping images to search queries Inventors: Matthew Sharifi, David Petrou, and Abhanshu Sharma Assignee: Google LLC US Patent: 10,489,410 Granted: November 26, 2019 Filed: April 18, 2016 Google may Label Query Images, and Score those Queries. Being the Source Of Answers for those Queries Could be A good idea.
- 20. Action Steps for Mapping of Image Queries Research and Anticipate Queries that might be asked about images that you post Make those Images and potential queries mapped to them the focus of a page Provide answers to those queries that could potentially become featured snippets Use Schema Markup such as FAQ Schema for those queries: https://developers.google.com/search/docs/data-types/faqpage Make the Entity Your Page and mapped queries are about the mainentityofPage for that page (using the MID of the entity as a sameas value)
- 21. Google Annotates Images to Learn About Entities Google may analyze photos on the Web To learn about the entities that may be In those images. Here are photos of Michael Jordan wearing a Chicago Bulls Jersey, which tells people what team he played for. Computerized systems and methods for enriching a knowledge base for search queries Inventors: Ran El Manor and Yaniv Leviathan Assignee: Google LLC US Patent: 10,534,810 Granted: January 14, 2020 Filed: February 29, 2016
- 22. Analyzing Photos To Learn About Entities Google Can Use Object Recognition To learn about Grizzly Bears, and that They hunt on Water in Rivers, and Catch Fish A search engine may learn from label annotations and about images, learning about: Image annotations Object entities - Bears Attribute entities – Fish, Water, Grass Relationships between object entities and attribute entities Facts learned about object entities
- 23. Lessons from Photos: Capture What People Do/Use Meaningful Images Show Doctors in Hospitals in front of patients Show Teachers in Classrooms lecturing in front of Bulletin Boards and Students Show Car Salesmen in Car lots selling cars to customers Show Farmers in Fields Growing Crops Use Images that might capture Information That text may not easily capture, such as Uniforms, equipment, customs, practices (such as students raising hands in class to get called on by a teacher.)
- 24. Optimize Images Traditionally 1.Use Meaningful Alt Text to Describe the Image Alt=“Pike Place Fish and Produce Market in Seattle” 2. Use a meaningful File name to identify the image <img src=“Pike-Place-Public-Market-Entrance.jpg” /> 3. Use a helpful Caption for your photo “The Entrance to Pike Place Fish and Produce Market” 4. Use Relevant Associated Text on the page the photo is on that describes it in more detail. A Well optimized Image can Rank in Image Search, and help the Page it appears upon rank more highly in Organic search results
- 25. Text in Images Historically, Google would not read the text in Images. This was potentially an issue for businesses that posted pictures That showed their street addresses, but didn’t include that Address in text on their pages. This photo is an early Starbucks right by Pike Place Market. Experiencing the issues I did with Google not reading text in images, I don’t rely upon them to be able to use such information, even though it is possible that they now can. If you have text in images, and it is important information, share that text in text on your pages as well. And Use Local Business Schema to provide redundant information and make it more likely Google captures that information.
- 26. Thank You! Bill Slawski Author at http://www.seobythesea.com/ Director of SEO Research at https://gofishdigital.com/ Twitter: https://twitter.com/bill_slawski LinkedIn: https://www.linkedin.com/in/slawski/ Facebook: https://www.facebook.com/SEO-by-the-Sea- 121115417920156/
Editor's Notes
- Image search has become a useful tool for people interested in content creation, and keyword research. This is because Google has been getting better at recognizing entities in images, and has been analyzing images to learn more about entities within them.
- When Google acquired Metaweb, that acquisition came with the Freebase knowledge base. Freebase created Machine IDs, known a MIDs, to identify entities that were included in the knowledge base. Google has been using those MIDs to better identify and track entities in a number of ways. In 2013 they blogged that they were labeling entities in images with MIDs to identify the entities within them. I did a search for a cactus on my patio, and Google Image search identified the cactus as a San Pedro Cactus. It returned a knowledge panel showing information about San Pedro Cacti
- Google Trends is a helpful tool to use when doing keyword research, because it can show you searcher interest over time. It also uses MIDs to track entities, or what it refers to as “topics.” If you do a search for San Pedro Cactus, a dropdown gives you a choice between a “search term” and “plants’ as a type of San Pedro Cactus. If you search for anything in Google Trends, you will see at least one option, which is a “search term.” If there is another option, that is Google identifying that object as an entity. So a San Predo Cactus, as Plants is an entity type. When I look myself up in Google Trends. It gives me a choice of a “search term” and an “American Consultant,” because I am an entity according to Google. Google Trends does show you the MID for an entity, if you know where to look.
- When I search for San Pedro Cactus as plants, the URL for the page has the MID for that entity at the end of the entity in an encoded manner that uses %2F instead of the slashes in the MID to make them work as URLs
- If you look a San Pedro Cactus up in the Google Knowledge Graph API explorer, you will see a link to an image of one, and the Machine ID that is the same as the one in Google Trends.