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Budget: 80 EUR Deadline: 10 days
Good day . Interested in your project. There is a large base of websites under different GEOs. I do it quality and quickly.
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A comprehensive SEO optimization of the website (about 100 pages) is required. A full SEO audit needs to be conducted, competitors analyzed, and a semantic core with query clustering gathered. Meta tags (Title, Description, H1) should be optimized, and recommendations for page structure and content provided. A technical audit of the website must be performed (robots.txt, sitemap.xml, redirects, duplicates, indexing, internal linking, loading speed, and other technical errors). If necessary, prepare a detailed technical task for the programmer to fix the identified issues. At the end of the work, provide a complete report with completed tasks, semantic core, list of recommendations, and a plan for further SEO promotion. In your response, please indicate the cost, deadlines, examples of successful projects, and a list of tasks included in the proposed cost. The main goal of the collaboration is to increase organic traffic from Google and make the website an effective channel for attracting clients and sales, rather than just performing formal SEO optimization. Our website https://gogoschool.education/
Not specified
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Hello Does anyone have experience developing OKF for a website? Either I will take a paid consultation or you will work with our programmer... I'm interested in contractors who have already gone this route. OKF - a new markdown format from Google for AI agents Open Knowledge Format (OKF) – an open standard that allows delivering website content directly to AI agents, without scraping and without an API. This is a folder of markdown files. Each file carries a small block of YAML at the top (type, title, description) and links to neighbors like regular markdown. Plus index.md, which lists the files so the agent can see the structure. llms.txt points to the main pages. EntityMap declares your entities. OKF is a level above: it delivers the content itself, each page as a pure markdown concept, stitched into a graph that the agent can navigate. They do not compete but complement each other: llms.txt – an index, EntityMap – "who is who", OKF – the library itself.
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