Product Guides2 min read • Jan 12, 2026By Jordan Reyes

Competitive analysis with Abhord: Tracking rival AI visibility

This practical guide walks new Abhord users from first login to acting on AI-powered insights. Follow the steps in order, and you’ll have a repeatable workflow for monitoring your brand, competitors, and category narratives across major LLMs.

Abhord Quickstart: From Setup to Insights

This practical guide walks new Abhord users from first login to acting on AI-powered insights. Follow the steps in order, and you’ll have a repeatable workflow for monitoring your brand, competitors, and category narratives across major LLMs.

1) Initial setup and configuration

Prep your workspace so Abhord can recognize your brand and measure it consistently.

  • Create a workspace and invite your team

- Roles: Admin (settings, billing), Analyst (create surveys, dashboards), Viewer (read-only).

- Connect Slack or email for alerts and digests.

  • Define entities (the backbone of mentions tracking)

- Add your brand, products, and business units as canonical entities.

- Add aliases and common misspellings (e.g., “Acme,” “Acme Inc,” “Acme Widgets,” “ACME”).

- Add competitor entities now; you’ll use them later for tracking.

  • Connect data inputs (optional but recommended)

- Seed URLs: your website, docs, pricing, and comparison pages.

- External signals: blog/RSS, press pages, app store listings, help center.

- This improves entity grounding and helps LLMs find/verifiable facts.

  • Configure normalization and quality controls

- Timezone and currency for reporting.

- PII redaction on (recommended).

- De-duplication rules (e.g., collapse near-identical outputs within a survey run).

- Language/locale preferences (e.g., en-US, en-GB).

  • Create your first category

- Group your brand + competitors + topical keywords (e.g., “ETL tools,” “contract management”).

- Add inclusion/exclusion terms to reduce noise (e.g., exclude “acme fireworks”).

Tip: Keep an “Aliases and Exclusions” document. Update it whenever you see false positives or missed mentions.

2) Running your first survey across LLMs

Surveys test how different LLMs answer real buyer questions and how often they mention your brand.

  • Start a new Survey

- Panel selection: choose multiple LLMs (e.g., GPT-4-class, Claude 3.5-class, Gemini 1.5-class, Llama 3.x-class).

- Sample size: 30–100 prompts per LLM is a good starting point for directional results.

- Geography/language: select the markets you care about (e.g., US-English vs DE-German).

- Cadence: “One-time” for a snapshot, or “Recurring weekly” for trend tracking.

  • Define your prompt set

- Use intent-rich queries buyers actually ask:

- “Best [category] tools for [use case].”

- “Top alternatives to [your brand].”

- “Compare [Brand A] vs [Brand B] for [criterion].”

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Jordan Reyes

Principal SEO Scientist

Jordan Reyes is a 15-year SEO and AI search veteran focused on search experimentation, SERP quality, and LLM recommendation signals.

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