LLMO/GEO Specialist for E-commerce Brand Visibility

LLMO/GEO Specialist — Get Brands Recommended in AI Answers (2-Week Trial → 90-Day Pilot)

Project overview

We help e-commerce brands show up inside AI answers (ChatGPT, Perplexity, Google AI Overviews, Bing Copilot). This is not generic SEO. We need a specialist who can measure and move AI-answer presence with a repeatable plan: prompt bank → baseline (screenshots) → content/spec/schema → credible citations → weekly scorecards.

Initial scope: one category (e.g., foot massagers), US/EN.

Scope of work

Prompt bank (12–15): De-dupe, classify (use-case/persona/price), weight by intent/difficulty/value.

Baseline: For each prompt × ChatGPT & Perplexity, log presence (0–3), citations used, timestamped screenshots, sampling notes.

Weekly scorecard: Presence Rate, Share-of-Answer (weighted 0–3), net-new citations, and throughput (assets, schema, PR).

Content & schema: Ship 4–6 assets/mo (buyer guide, head-to-head, FAQs, spec tables). Add JSON-LD Product/Brand/FAQ to ~10 SKUs.

Authority/citations: Pitch credible reviewers/retailers/expert media (not forum spam) that AIs actually cite.

Retailer PDP touches: Recommend upgrades to Amazon/BestBuy-style PDPs (spec blocks, review excerpts, claims clarity).

Attribution: Separate AI-answer lift from classic SEO (UTMs/clickouts/cohorts); keep a clear change log.

Success targets (Pilot Lite, 90 days)

≥50–55% presence (state ≥2) across the 12–15 prompts on ChatGPT+Perplexity (7-day rolling).

≥8–10 net-new credible citations used in answers.

Throughput: 4–6 assets/mo + schema on 10 SKUs + 1 micro-PR push/mo.

Proof pack: Baseline vs Day-90 deck with screenshots, citation list, traffic notes.

Must-have experience

Real before/after wins in Perplexity and/or Google AI Overviews (screenshots with prompts + dates).

E-commerce content + structured data (Product/Brand/GTIN/Model/FAQ).

Building spec tables and entity-rich pages AIs consume.

Digital PR to credible outlets; understanding what LLMs cite.

Solid reporting cadence and sampling for LLM volatility.

Nice-to-have

Retailer PDP optimization (Amazon/BestBuy/Target).

GA4 cohorts/assisted revenue for AI-answer segments.

Light automation (Python/Apps Script) for sampling/screenshot capture.

Red flags (do not apply if…)

Your plan centers on Web 2.0s/tiered links/PBNs/Quora spam.

You only report GA4/GSC/rankings and have no AI-answer evidence.

You can’t show a prompt-level baseline or presence scoring.

2-Week Paid Trial (required before pilot)

Fixed fee: $400–$600. Deliverables:

Prompt bank (15) with weights.

Baseline (ChatGPT+Perplexity): presence 0–3, screenshots, citation URLs per prompt.

Drafts: buyer-guide outline, Miko vs Renpho H2H, spec-table skeleton; schema plan for 10 SKUs.

PR list (12 targets) with angles + one outreach draft.

Weekly scorecard template + change-log format.

Ongoing engagement

If trial passes: 90-day pilot on retainer (scope-based). We work ET hours; async OK with 24–48h comms. NDA required.

How to apply

Start with “LLMO – {your city} – {your rate}” and answer these two questions:

Show 3 wins in Perplexity or AI Overviews: exact prompt, engine, date/geo, before/after screenshots, links cited by the AI, and what you changed.

Mini plan (foot massager): 10 target prompts; tracking table (prompt, engine, score 0–3, citations, screenshot link); 4 content pieces; JSON-LD fields for 5 SKUs; 12 citation targets.

Skills / tags

SEO, LLMO, GEO, Perplexity, Google AI Overviews, Bing Copilot, Prompt Engineering, Schema Markup (JSON-LD), GA4, Google Search Console, E-commerce SEO, Content Strategy, Digital PR, Amazon/BestBuy PDP, Data Analysis, Python (nice).