Abhord Quickstart Guide (2026 Refresh): From Setup to Actionable GEO/AEO Insights
Overview
Abhord helps you measure and grow your brand’s visibility inside AI answers. This refreshed guide reflects recent platform updates—model pinning, smarter entity detection, rank-weighted share of voice, and new automation—so you can get reliable, repeatable results fast.
1) Initial setup and configuration
- Create your workspace
- Choose data region and connect SSO (Okta/Azure AD) if you need role-based access (Admin, Analyst, Viewer).
- Add Slack or email for alerts. Optional: enable the Webhook/BigQuery export to stream raw runs to your warehouse.
- Define entities
- Add your brand, products, and key people. Provide aliases/synonyms (e.g., “Acme PM,” “Acme Project Manager”).
- New in 2026: Synonym Learner suggests aliases seen in LLM outputs; approve to improve recall.
- Establish your competitor set
- Enter canonical names plus common misspellings and regional variants. Group by segment if you track multiple categories.
- Create a project
- Example: “US – Project Management Tools.”
- Add intents and queries (10–50 to start). Organize by user journey stage: awareness (“best project management tool”), consideration (“Acme vs Asana”), support (“how to import spreadsheets into Acme”).
- Configure the model panel
- Select LLMs and versions to survey (e.g., GPT-4.1, Claude 3.5 Sonnet, Gemini 1.5 Pro, Llama 3 70B). Choose locales (US/UK) and languages.
- New in 2026: Model Pinning locks a specific version and a roll-forward window, reducing volatility after model refreshes.
- Set guardrails and privacy
- Enable Neutrality Mode (prevents prompt bias), PII redaction, and brand-safety filters. Attach your approved sources list if you want citation-aware scoring.
- Schedule and budgets
- Define cadence (weekly baseline + ad-hoc pulses) and token budget caps. Turn on anomaly alerts for large metric swings.
2) Running your first survey across LLMs
- Draft your question set
- Aim for 3–5 queries per intent to reduce wording bias. Keep prompts neutral (“Which tools are most recommended for X? Why?”).
- Add a short context block only if necessary (e.g., “Assume US pricing and general SMB needs.”).
- Choose sampling settings
- Runs per model: 5–10 for a first pass; increase to 20+ when you