Evidence-first resource library

Build an AI visibility audit from question set to client-ready action plan.

Use the free tools in sequence or jump directly to the stage you need. Every resource is designed around dated observations, preserved source evidence and explicit limitations—not a universal AI ranking.

10 free resourcesNo account requiredBrowser-local inputs where applicable

A five-stage audit workflow

The tools below support a complete working sequence without hiding the methodology inside a score.

01 · Scope

Define the decision

Choose the brand, market, buyer and business decision before testing.

02 · Questions

Freeze the prompts

Balance discovery, comparison, trust, risk and purchase questions.

03 · Evidence

Capture outputs

Record complete answers, conditions, competitors and cited sources.

04 · Analysis

Separate the facts

Keep observation, interpretation, limitation and action distinct.

05 · Delivery

Report the work

Prioritize evidence gaps and propose a comparable future rerun.

Free tools and examples

Start with the smallest useful artifact, then keep the same definitions as the audit expands.

Method

How to run an AI visibility audit

A seven-step field guide covering question design, test conditions, evidence capture, interpretation and reruns.

Read the guide
Question design

Prompt generator

Generate twelve buyer-led questions across discovery, comparison, trust and purchase stages.

Generate prompts
Sampling plan

Confidence and sample-size calculator

Turn repeated mention observations into a 95% Wilson interval and a conservative sampling plan.

Plan the sample
Measurement standard

AI visibility benchmarks guide

Learn why universal scores mislead and build a comparable baseline with explicit definitions and uncertainty.

Build a baseline
Live aggregate data

AI Crawler Observatory

Inspect daily privacy-safe Googlebot, Bingbot and AI crawler request counts with explicit limitations.

Explore crawler data
Evidence capture

Free Excel audit template

Log fifty dated observations with guided fields and automatic coverage metrics.

Get the workbook
Evidence quality

25-point source checklist

Review crawl access, business identity, product facts, proof and repeatable measurement.

Run the checklist
Example

Fictional sample report

Inspect a complete example from measurement scope through findings and a thirty-day action plan.

Explore the report
Commercial planning

Cost and price calculator

Estimate delivery effort and review selected public offer references without treating them as a universal market price.

Estimate the cost
Client scope

Proposal generator

Turn a defined audit scope into a proposal with evidence rules, deliverables, timeline, fee and limitations.

Build a proposal

Paid tools when the free workflow is no longer enough

Each product is a one-time download for a specific step. Availability, contents and price are stated on the linked product page.

Limits: These resources support a reproducible working process. They do not guarantee mentions, citations, rankings, traffic, leads or revenue.

Frequently asked questions

What do I need to run an AI visibility audit?

Define a buyer-question set, freeze the test conditions, capture complete answers and sources, separate observations from interpretation, and turn evidence gaps into prioritized actions.

Can I start without buying a tool?

Yes. The guides, calculators, aggregate crawler data, prompt generator, Excel template, checklist, sample report and proposal generator are free.

Do these resources guarantee AI rankings or citations?

No. They support repeatable observations and evidence review. AI outputs vary by system, model, account, market, language and time.