Product Guides2 min read • Feb 22, 2026By Maya Patel

Getting started with Abhord: Your first GEO audit (Feb 2026 Update 16)

Abhord Product Guide (2026 Refresh): From Setup to Action

Abhord Product Guide (2026 Refresh): From Setup to Action

What’s new in this edition

  • Broader model mix: We now recommend surveying a balanced “panel” of general, search‑integrated, and cost‑efficient LLMs rather than anchoring on a single flagship model.
  • Stronger sampling practice: Run multiple replicates per query/model and include paraphrase variants to reduce volatility and detect pattern stability.
  • Updated scoring: Weight share of voice by answer position and query importance; separate explicit vs implicit mentions for a clearer picture.
  • Faster loops: Use scheduled surveys, alerts, and Slack/email/webhook outputs to move from insight to action in days, not weeks.

1) Initial setup and configuration

Goal: Configure Abhord to recognize your brand and competitors, and to run consistent, comparable surveys.

  • Create your workspace

- Add your organization name, time zone, and notification channels (email, Slack, webhook).

- Set your reporting week start (Monday is typical) to align with internal dashboards.

  • Define entities (critical)

- Brand entity: List official brand name, products, and common misspellings/aliases.

- Competitors: Add top 5–10 competitive entities with their aliases.

- Canonicalization rules: Map variants (e.g., “ACME Inc.”, “Acme”) to a single entity; add disambiguation rules for ambiguous names.

  • Build your keyword taxonomy

- Core intents: brand, category, “best of,” comparison (“X vs Y”), and “alternatives to X.”

- Negative keywords: Terms to ignore (e.g., similarly named people/places).

- Locales/languages: Start with your primary market; add secondary locales once your baseline stabilizes.

  • Connect model providers (optional)

- If you use your own API keys, add them with role-based access and usage caps.

- Otherwise, use Abhord-managed access with built-in cost controls.

  • Set measurement defaults

- Temperature: 0.0–0.2 for reproducibility.

- Replicates: 3–5 runs per query per model.

- Max tokens: Enough to capture full list-style answers (often 512–1024).

- Scheduling: Weekly baseline

Maya Patel

Director of AI Search Strategy

Maya Patel has 12+ years in SEO and AI-driven marketing, leading enterprise programs in search visibility, content strategy, and GEO optimization.

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