GEO/AEO Specialist: Make Our B2B SaaS the Answer in ChatGPT, Claude, Perplexity & AI Overviews

Posted 4 days ago

Worldwide

Summary

We're a B2B SaaS company selling AI software to independent insurance agencies in the US. A growing share of our buyers research solutions through ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews instead of traditional search. We want to be the recommended answer when they do. We're hiring a Generative Engine Optimization (GEO) / Answer Engine Optimization (AEO) specialist to measure, then systematically improve, how LLMs and AI search surfaces represent and recommend us for our core commercial topics. Target topic clusters You'll focus on visibility and share-of-voice for queries around: AI quoting (insurance) Commercial lines quoting and rating Personal lines quoting and rating AI insurance proposal generation AI data intake for insurance agencies AI insurance research Adjacent comparison and "best tools for" queries in this space What you'll do Baseline audit: how the major LLMs and AI Overviews answer our target queries today, who gets cited, who gets recommended, and where we appear (or don't) Ongoing tracking: stand up a repeatable share-of-voice measurement across ChatGPT, Claude, Perplexity, Gemini, and AI Overviews (tooling like Profound, Peec, Otterly, or your own methodology; tell us what you use) Content strategy for answer engines: identify the pages, definitions, FAQs, comparisons, and schema we need so LLMs cite us; brief or draft that content (we have writers and a brand voice guide, but hands-on drafting is a plus) Technical AEO: structured data (FAQ, Product, Organization schema), llms.txt, crawlability for AI crawlers (GPTBot, ClaudeBot, PerplexityBot), content structure best practices Third-party footprint: strategy for the sources LLMs actually cite in our category (review sites, directories, industry publications, Reddit/forums, Wikipedia-style references) and a prioritized plan to earn presence there Monthly reporting: share-of-voice movement per topic cluster, citations gained, and next month's priorities Requirements Demonstrable GEO/AEO results for at least one B2B company: show us before/after LLM visibility, not just traditional SEO rankings A concrete measurement methodology for LLM share of voice (you can explain it in your proposal) Strong grasp of how retrieval and citation work in current AI search products, and how that differs from classic SEO Solid technical SEO foundation (schema, site architecture, crawl behavior) Clear written English Nice to have Insurance, insurtech, fintech, or other regulated-industry experience Digital PR / link-earning background for citation-source placement Experience working alongside a traditional SEO or content team To apply Start your proposal with the word "citations". Then: Name a client or project where you improved LLM visibility and what moved (share-of-voice numbers, citation counts, screenshots welcome, redact as needed) Describe your measurement stack in 3-4 sentences Tell us the single highest-leverage AEO action you'd take in month one for a niche B2B vertical We'll shortlist fast and do a 20-minute call. NDA before we share the company name, site, and content assets.

  • Less than 30 hrs/week
    Hourly
  • 1-3 months
    Duration
  • Expert
    Experience Level
  • $20.00

    -

    $60.00

    Hourly
  • Remote Job
  • Ongoing project
    Project Type
Skills and Expertise
Mandatory skills
Search Engine Optimization
Activity on this job
  • Proposals:50+
  • Interviewing:
    0
  • Invites sent:
    0
  • Unanswered invites:
    0
About the client
Member since Oct 14, 2018
  • United States
    Philadelphia10:22 AM
  • $640K total spent
    179 hires, 12 active
  • 33,609 hours
  • Tech & IT
    Mid-sized company (10-99 people)

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