Product Guides3 min read • Mar 09, 2026By Ethan Park

Getting started with Abhord: Your first GEO audit (Mar 2026 Update 7)

Abhord Quickstart Guide (2026 Refresh)

Abhord Quickstart Guide (2026 Refresh)

What’s new in this edition

  • Faster setup: a guided workspace wizard now configures projects, entities, and model connections in one flow.
  • Smarter entity detection: auto-suggested synonyms and fuzzy matching reduce missed brand/product mentions.
  • Token‑normalized share of voice: SOV now adjusts for model verbosity and response length.
  • Model bias diagnostics: per‑LLM skew and variance are reported side‑by‑side with confidence bands.
  • Scheduling and alerts: save surveys, run them on a cadence, and push alerts to Slack/email/webhooks.
  • Cross‑model consensus: a new score highlights when multiple LLMs agree (or disagree) about your brand.

1) Initial setup and configuration

  • Create your workspace

- Go to Admin → Workspaces → New.

- Add teammates with roles: Viewer (read‑only), Analyst (create/edit surveys), Admin (billing, connectors).

  • Connect model providers

- Add API keys for the LLMs you plan to survey (you can connect multiple vendors).

- Set a default “LLM bundle” (e.g., 5–8 diverse models) under Admin → Models → Bundles.

- Recommendation: keep at least one smaller, faster model in the bundle for quick smoke checks.

  • Pick data sources for enrichment (optional but recommended)

- Connect your docs, GitHub repo, help center, and public pages. This helps Abhord link LLM claims to your canonical content during analysis.

  • Define entities and taxonomy

- Add your brand, products, competitors, and key features under Entities.

- Include known aliases/synonyms (e.g., “ACME PM,” “ACME Project Manager,” “APM”).

- New: use Auto‑Suggest to import common variants from recent LLM responses and user queries.

  • Privacy and regions

- Choose data region (US/EU) and set retention. Toggle PII scrubbing if you ingest support data.

  • Notifications

- In Admin → Alerts, connect Slack/email/webhooks and set thresholds (e.g., “Competitor X share of voice > 25%”).

Pro tip: Start with one product line and 3–5 competitors. You can scale up your taxonomy and bundles once you see stable patterns.

2) Running your first survey across LLMs

  • Choose a template

- Go to Surveys → New → Templates and start with:

- “Best tools for [job-to-be-done]”

- “Who are the leaders in [category]?”

- “[Brand] vs [Competitor] comparison”

  • Draft the prompt

- Keep it neutral and specific: “List the top project management tools for mid‑market teams (100–1,000 employees) and explain why. Consider pricing transparency, integrations, and security certifications.”

- Add clear constraints: “Answer in up to 120 words. Cite products by their canonical names.”

  • Select the LLM bundle and sampling

- Pick your default bundle. Set runs per model (3–7) to estimate variance without over‑spend.

- Turn on fixed seed for reproducibility when comparing runs week‑over‑week.

  • Launch and monitor

- Hit Run. You’ll see per‑model progress and estimated completion time.

- Optional: enable link capture to extract any URLs the models reference for later auditing.

Common gotchas

  • Over‑broad prompts inflate mentions and muddy

Ethan Park

AI Marketing Strategist

Ethan Park brings 13+ years in marketing analytics, SEO, and AI adoption, helping teams connect AI visibility to measurable growth.

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