Abhord Quickstart Guide (Refreshed, February 2026)
This refreshed edition reflects recent changes in the LLM landscape and new Abhord recommendations: expanded model coverage (reasoning-capable models), improved intent-based sampling, upgraded sentiment calibration, and clearer share-of-voice (SoV) breakdowns by intent and region. Use this guide to go from zero to actionable insights in under a day.
1) Initial setup and configuration
Goal: Tell Abhord what to watch, where, and how often.
- Create your workspace and brand profile
- Add official brand name plus variants (common misspellings, acronyms, legacy names).
- Add product-line names and important URLs (homepage, docs, pricing, comparison pages). These anchors help entity resolution.
- Define the competitive set
- List direct competitors and adjacent alternatives. Include key SKUs and nicknames.
- Tip: Cap your first pass at 5–8 competitors to keep early reports focused.
- Select regions and languages
- Start with your top two markets. Add more once you validate signal quality.
- New recommendation: Split US/UK English if you expect localization differences in brand recall.
- Choose model pool
- Include a balanced mix: closed models (commercial assistants), open-weight models (community deployment trends), and reasoning models.
- New recommendation: Add at least one “fast/cheap” model for volume and one “reasoning” model for depth; compare outcomes.
- Set cadence and alerts
- Default: weekly full survey + daily spot checks on 10–20 prompts.
- Configure anomaly alerts for: drop in mentions >25%, negative-sentiment spikes, or SoV loss in priority intent.
- Privacy and governance
- Mask PII in prompts. Restrict exports to least-privilege roles. Use project-level API keys for automation.
2) Running your first survey across LLMs
Goal: Capture how LLMs talk about your category and brand for core intents.
- Pick 3–5 core intents to start
- Informational: “What is [category] and who are the top providers?”
- Comparative: “Best [category] for [persona/use case].”
- Transactional: “Which [category] should I buy for [budget/scale]?”
- How-to: “How do I migrate from X to Y?”
- New recommendation