SEO yaparken, anahtar kelime araştırmam ‘fotoğraf kabini kiralama’ (80 arama) gibi varyasyonları gösteriyorsa; ‘Bir fotoğraf kabini kiralayın’ (20 arama); ‘Fotoğraf kabini’ (150 arama); Ve ‘Etkinlikler için Fotoğraf Kabini’ (30 Arama), bu tam ifadelerin her birini sayfama hepsine dahil etmem gerekiyor mu?
Short answer: No.
Long answer:
* in the last 5-10 years search engines became more sophisticated and can understand user intent in very nueanced way
* when multiple keywords have the same intent, they form a “topic”
* in this case, close variations are very likely the same intent (ie. a user wants to find a photo booth to rent). “photo booth” is a bit ambiguous and might mean you want to buy one, instead of renting it.
* i would use a content optimization or writing assistant tool to find patterns in the pages that rank for the more specific queries and use that to inform the content on your pages
Happy to go a lot deeper
This is actually a good way/reason to use GPT to get a better understanding of the type of content you want on your page.
I’m simplifying this, but train your GPT by explaining that it is acting in the role of a 20-year, seasoned SEO strategist who deeply understands context and relevance, user intent, lead generation, high conversion content, and LSI knowledge on the specific topic of “photo booth rental”. Clarify whether you want local (you deliver a booth) or a national audience (mail a rental booth to the person). ie: Define your audience clearly.
Feed it the top 3-5 search results of the exact type of sites you wish to compete with as a data set, and instruct it to return a thorough, detailed response on the terms and phrases you should be targeting, along with explaining its reasons it produced that information, and real-world examples from the URL’s you provided. Instruct it to further define your audience and adjust it’s output based on its findings.
If you use a paid GPT, create a custom project for this and take the time to create your ruleset carefully based on your needs, adjust it as needed, revisit it often to fix the project rules for the GPT output, etc. Eventually, you could get to the point of dropping in your target phrases, providing 3-5 top market competitor URL’s, and generate results very quickly.
I used this exact prompt below and the results were a very good starting point. If this were my own project, I would probably work the prompt a bit more, but for this example –
You are acting in the role of a 20-year, seasoned SEO strategist who deeply understands context and relevance, user intent, lead generation, high conversion content, and LSI knowledge on the specific topic of “photo booth rental” for a direct to consumer photo booth rental business operating in the united states, that ships rental units direct to the customer with return labels, in a just-in-time scenario.
Using these URL’s for reference: [comma separated list of top 3 urls of competitors], provide a thorough, detailed response on the terms and phrases we should be targeting, along with explaining your reasons for producing that information, and real-world examples from the referenced URL’s. Feel free to define the audience and business model further.
Main thing in making content is to properly silo/categorize things. 1x Topic = 1x page. Before AI we had to do this manually. Now there’s software which helps a lot look them up – I liked keywordcupid for awhile but it got all fucked up. Keyword Insights is what I’ve used for past several projects it’s ok but output format is a bit to be desired.. anyway you just want to break down your keywords into distinct topics, and then for those topics yes you do want to include keyword variations in your content (headings are ideal) and not just rely on semantic reasoning by Google (BERT was the shift years ago for semantic understanding). Photo Booth rental keywords def on 1x page. Not sure about events that’s possibly a separate page. Google those keywords and see if you see completely different results = make separate pages for each.