AI-driven answers are becoming a major entry point for B2B SaaS discovery. Instead of clicking 10 blue links, buyers now ask AI questions like “best tools for X,” “alternatives to Y,” and “how do I solve Z,” then form an opinion before they ever land on a vendor website.
That changes what “visibility” means. Your brand can be mentioned (or ignored) inside AI answers—and traditional analytics won’t always tell you why.
This guide shares a practical, repeatable AI visibility audit you can run monthly to track brand mentions across LLM-style experiences, benchmark competitors, and identify the exact content and credibility gaps holding you back.
What counts as a “brand mention” in AI search?
In AI answers, brand visibility usually shows up in three ways:
- Mention (unlinked): your brand is named, but there’s no source link.
- Citation (linked): your site (or a third-party page about you) is used as a source.
- Recommendation / shortlist: your brand is presented as a top option alongside competitors.
You want all three—but if you’re prioritizing, focus on recommendations + citations, because they tend to correlate with real evaluation behavior.
Tracking these brand mentions across different AI engines can be difficult to do manually. Wellows is an AI search visibility platform that helps brands and agencies see where their names appear in AI-generated answers and where competitors receive citations, making it easier to identify visibility gaps and guide content or outreach efforts to improve AI visibility.
Step 1: Build a prompt universe (your new “keyword list”)
AI visibility tracking starts with the questions buyers actually ask. Create a list of 50–150 prompts, split into four buckets:
Category discovery (top-of-funnel)
- “Best [category] software for [industry]”
- “Top tools for [use case]”
- “What’s the best way to do [job-to-be-done]?”
Comparisons (high intent)
- “[Brand] vs [Competitor]”
- “Alternatives to [Competitor]”
- “Which is better for mid-market teams: [A] or [B]?”
Implementation (pipeline accelerators)
- “How to set up [workflow]”
- “How to measure [metric]”
- “Best practices for [process]”
Trust checks (risk reducers)
- “Is [Brand] legit?”
- “Pros and cons of [Brand]”
- “Common complaints about [Brand]”
Tip: include prompts where you don’t appear today. Those are your growth targets.
Step 2: Pick 3–5 competitors to benchmark
AI visibility is relative. Choose competitors based on:
- Deals you lose most often
- Brands that dominate review sites and “best tools” lists
- Names that appear in AI answers today when you don’t
You’ll compare your presence to theirs using a simple share-of-voice metric.
Step 3: Create a scorecard (simple table, big insights)
Use a spreadsheet with these columns:
- Prompt
- Funnel stage (Discovery / Comparison / Implementation / Trust)
- Engine tested (LLM/AI search experience)
- Your brand mentioned? (Y/N)
- Which competitors appeared?
- Any citation? (Y/N)
- Cited URLs (list)
- Positioning accurate? (Accurate / Partial / Wrong)
- Notes + next action
This keeps the audit objective and makes it easy to repeat monthly.
Step 4: Run a baseline sweep (20–30 prompts first)
Start with 20–30 prompts and record outcomes exactly as they appear. You’re looking for patterns like:
- You’re mentioned, but described incorrectly (wrong category, wrong ICP)
- Competitors appear with stronger positioning (“best for enterprise compliance…”)
- AI cites listicles and directories where you’re missing
- Your brand appears only for low-intent prompts, not buyer-ready prompts
Don’t over-optimize the prompt wording—use natural buyer language so results reflect reality.
Step 5: Measure AI Share of Voice (AI SoV)
This is the simplest KPI that actually helps you improve:
AI SoV = prompts where your brand appears ÷ total prompts tracked
Calculate the same for your competitors. This gives you a baseline you can lift month-over-month.
Step 6: Build a citation graph (what sources AI trusts)
Here’s the most actionable part of the audit: identify what sources repeatedly show up as “trusted.”
For the prompts that produce citations or source references:
- Collect every cited URL
- Tag each as:
- Your site
- Competitor site
- Review directory / listicle
- Industry publication
- Community/UGC (forums, Q&A)
- Sort by frequency
If the same domains show up repeatedly, that’s your roadmap:
- Get included in those repeat-cited lists
- Publish a better explainer that becomes the “go-to” source
- Strengthen your on-site pages so they’re easier to cite
If you’re evaluating automation after your baseline, this overview of AI visibility tools for GEO can help you compare options based on engine coverage, citation tracking, and competitive benchmarking.
Step 7: Fix positioning drift (so AI describes you correctly)
A common issue: you’re mentioned, but the AI gets the narrative wrong. Fix this by making your “entity signals” consistent across your site:
- Clear category label on the homepage and key pages
- Consistent language for your ICP (SMB vs mid-market vs enterprise)
- A concise “how we’re different” section with proof
- Updated pages that reflect current offerings and terminology
When AI pulls from inconsistent messaging, it produces inconsistent answers.
Step 8: Turn the audit into a monthly checklist
Run this monthly (or quarterly at minimum):
- Update prompt universe (add new competitors, features, and use cases)
- Track 20–30 core prompts for baseline
- Compute AI SoV vs competitors
- Map citations and identify repeat-cited sources
- Fix top positioning issues
- Create 1–2 “AI-citable” pages (definitions, checklists, comparisons)
- Improve CRO on the pages most likely to be cited or clicked
If you want a structured workflow to standardize this process, use this LLM brand visibility audit checklist as a reference for tracking, scoring, and turning findings into an action plan.
