Free Claude Skill · AI Search Evaluation Framework
Why do LLMs recommend your competitor over you?
- ✓ Role-by-role LLM scorecard — your brand vs every competitor
- ✓ 10 verified citations per role powering every score
- ✓ A content plan to close your AI search visibility gap
See how AI search ranks you vs your competitors
Free LLM Evaluation Framework, delivered to your inbox
✓
Check Your Inbox!
We've sent the LLM Evaluation Framework .md file with full setup instructions for Claude.
Clutch · Top SEO Agency
Saleshandy · Lead Gen India
4.2
Google · 28 Reviews
Watch the Skill Run
See the AI Search Evaluation Framework in Action
LLM Evaluation Framework · What You'll Get
3 Competitive Insights That Are Tough to Uncover
Insight 1
Which buyer roles LLMs are steering toward your competitor
- Know which decision-makers AI search is working against you with
- Understand the criteria each role's LLM answer is scored on
- See a weighted gap score you can defend to your CEO or board
- Benchmark against up to 5 competitors simultaneously
Insight 2
The web evidence shaping every AI-generated recommendation
- 10 ranked citations per stakeholder role — auditable, not estimated
- Identifies what competitors publish that earns LLM citations you don't get
- Reveals content gaps creating your brand perception problem in LLMs
- Separates facts from AI opinion so you know what's actually fixable
Insight 3
Exactly what to publish to earn your place in LLM answers
- 5 content plays per role — tied to the criterion each one wins
- Only topics LLMs can't find on your site today
- Ready to hand off as briefs, not vague "thought leadership" advice
- A prioritized content roadmap for better AI search visibility
How the LLM Evaluation Framework Works
From zero visibility to a full AI search scorecard in under an hour
1
Grab the Skill
Fill the form above — the .md skill file arrives in your inbox.
2
Upload to Claude
Upload the file to Claude.ai or Claude Desktop — no integrations needed.
3
Enter Your Inputs
Your brand, up to 5 competitors, and the buyer roles that matter.
4
Get Your Scorecard
Receive a single HTML report: your LLM visibility scorecard, citations, and content plan.
The LLM Evaluation Framework Only Runs on Claude — Not ChatGPT or Gemini
Scoring your brand perception across stakeholder roles, grounding every score in real web citations, and producing an actionable content plan requires Anthropic's Claude. Other models return generic criteria and unverifiable scores.
Manual Research vs LLM Evaluation Framework
Doing it manually costs time and still misses the full picture
| Evaluation Dimension | Manual Research | LLM Evaluation Framework (Agentic AI) |
|---|---|---|
| Time to complete | Days of prompting, compiling, and formatting | Full report in under 60 minutes |
| Stakeholder coverage | Typically limited to one or two roles | Up to 5 buyer roles evaluated in a single run |
| Score credibility | Subjective — no source trail | Every score backed by 10 ranked web citations |
| Competitor depth | One competitor at a time, inconsistently | Up to 5 competitors benchmarked on the same criteria |
| Actionability | Findings without a clear next step | Role-specific content plan, brief-ready |
| Consistency | Varies by analyst, prompt, and session | Structured, repeatable, version-controlled output |
Sample Output
What the AI Search Evaluation Agent actually builds
Below is an example of what it provides as output.
LeadWalnut
Sample Output
AI Search Evaluation Agent: Output
Role-by-role LLM scorecard, 10 verified citations, content plan.
LLM Evaluation Framework · Output
A snapshot from the actual report get yours for the full picture
5
Stakeholder Roles Scored
5
Competitors Benchmarked
3–5
Criteria Per Role
1–10
Weighted Scoring Scale
- Highest score in every row highlighted automatically
- Criteria framed to the decision lens of each role
- Overlap minimised across personas
10
Citations Per Role
5
Recommendations Per Role
100%
Content-Focused Actions
0
Generic "Do Better" Advice
- Exact hyperlinks, ranked most-to-least relevant
- Only topics not already on the client's site
- Each play tied to a specific publishable topic
Who the LLM Evaluation Framework Is Built For
For marketers focused on brand dominance in the AI era
Product Marketers
Know exactly where your brand perception in LLMs falls short — and fix it.
AEO / GEO Leads
Turn AI search visibility data into a publishable content plan.
Content Strategists
Fill the content gaps that are costing you LLM citations today.
Founders & CMOs
See the AI search criteria where your competitor has already pulled ahead.
LLM Evaluation Framework · FAQ
Frequently Asked Questions
What problem does this skill actually solve?
B2B buyers increasingly start their evaluation in ChatGPT, Claude, Perplexity, and Gemini — and these LLMs form an opinion about your tool based on what's published across the web. This skill tells you, role by role, what LLMs are likely to say about you versus every competitor, and what to publish to flip that perception. No more guessing why your name doesn't come up in AI answers.
Why must this run on Claude specifically?
Modeling how an LLM would weigh evidence across every buyer role, ground each score in real web sources, and turn it into a content plan in a single pass only works reliably on Claude's long-context reasoning. Other tools produce generic criteria and opinions dressed up as scores — the opposite of what you need to influence AI search.
What will I walk away with?
Two things you can use the same day: a role-by-role AI-search scorecard defensible enough to land on a buyer's desk or in a board deck, and a content plan specific enough to hand to your team Monday morning. Both live in a single HTML page.
How many roles and competitors can I evaluate?
Up to 5 competitors and up to 5 stakeholder roles — enough to model how LLMs answer for the full buying committee on any enterprise B2B deal. Each role gets criteria framed to their decision lens, not a generic checklist.
How trustworthy are the scores?
Every score is backed by concrete evidence pulled from the same kind of web sources LLMs cite, with 10 ranked citations per role. If your CEO asks "where did this number come from?", you have an answer — and a link.
How is this different from a regular prompt-tracking tool?
Prompt trackers tell you whether you got mentioned. This skill tells you why — what evidence is shaping the LLM's answer, which buyer role is most exposed, and exactly what content to publish to change the next answer. It's the layer between tracking and action.
What kind of recommendations do I get?
Specific, publishable content plays — never generic advice. Each one is tied to a topic LLMs can't currently find on your site, mapped to the criterion it's meant to win, and ready to hand off as a brief.
Is the LLM Evaluation Framework really free?
Yes. The skill is free to download and run yourself. If you'd rather have our analysts run the full LLM brand evaluation and execute the AI-search content plan, book a free audit — we run end-to-end engagements for enterprise B2B SaaS clients.