AI-Driven Comprehensive SEO Strategy
Budget: $30 – $250 USD
I’m ready to overhaul my site’s visibility with a modern, AI-first approach to search. The focus is on three intertwined areas: classic on-page optimisation, targeted off-page outreach, and preparation for the new wave of LLM-powered search results (think ChatGPT, Bard and Bing co-pilot answers). My primary yardstick is simple—consistent growth in high-quality organic traffic.
Here’s what I’m looking for you to drive:
• Keyword intelligence from scratch. I don’t yet have a target list, so I’ll need a full research report that identifies search intent, difficulty, and traffic potential, then maps those phrases to content clusters.
• On-page execution. Once the keywords are locked, I’ll require well-structured meta data, internal-linking plans, schema markup, and AI-assisted copy suggestions to lift topical depth.
• Off-page momentum. Craft a backlink strategy that blends authoritative guest posts, digital PR and niche-relevant citations—all aimed at boosting trust metrics without risking spam flags.
• LLM search readiness. Provide guidelines and content snippets (FAQs, concise summaries, entity-rich passages) optimised for large-language-model answer boxes so the site surfaces in conversational search.
Acceptance criteria
– A spreadsheet (or Looker Studio dashboard) with the final keyword set, search metrics and content mapping.
– An on-page implementation sheet listing every URL, the changes recommended, and why.
– A backlink calendar detailing target domains, outreach status and acquired links.
– A concise playbook (PDF or Google Doc) outlining how existing and future content should be structured for LLM answer engines.
If this aligns with your expertise in AI-enhanced SEO tools—SurferSEO, Semrush, Ahrefs, GPT prompts, the works—let’s get started.
Here’s what I’m looking for you to drive:
• Keyword intelligence from scratch. I don’t yet have a target list, so I’ll need a full research report that identifies search intent, difficulty, and traffic potential, then maps those phrases to content clusters.
• On-page execution. Once the keywords are locked, I’ll require well-structured meta data, internal-linking plans, schema markup, and AI-assisted copy suggestions to lift topical depth.
• Off-page momentum. Craft a backlink strategy that blends authoritative guest posts, digital PR and niche-relevant citations—all aimed at boosting trust metrics without risking spam flags.
• LLM search readiness. Provide guidelines and content snippets (FAQs, concise summaries, entity-rich passages) optimised for large-language-model answer boxes so the site surfaces in conversational search.
Acceptance criteria
– A spreadsheet (or Looker Studio dashboard) with the final keyword set, search metrics and content mapping.
– An on-page implementation sheet listing every URL, the changes recommended, and why.
– A backlink calendar detailing target domains, outreach status and acquired links.
– A concise playbook (PDF or Google Doc) outlining how existing and future content should be structured for LLM answer engines.
If this aligns with your expertise in AI-enhanced SEO tools—SurferSEO, Semrush, Ahrefs, GPT prompts, the works—let’s get started.