---
title: "What Is a White-Label AI Audit? (2026) | Lighthouse Local"
description: "A white-label AI audit scans a prospect's site for AI search readiness under your agency's brand, then trades the report for a lead, end to end."
source: "https://www.lighthouselocal.ai/blog/what-is-a-white-label-ai-audit"
---

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# What Is a White-Label AI Audit? One Prospect, Start to Finish

[![Will Colachis](https://www.lighthouselocal.ai/images/authors/will-colachis.webp)Will Colachis Head of Growth, Lighthouse Local](https://www.lighthouselocal.ai/blog/authors/will-colachis) September 9, 2026 • 10 min read

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![A branded AI visibility audit results page for a roofing company showing six category scores and a captured lead](https://www.lighthouselocal.ai/images/blog/blog-what-is-a-white-label-ai-audit.webp)

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## A Roofer in Boise Runs Your Audit at 9 PM

Suppose Ridgeline Roofing in Boise finds your agency at 9 PM on a Tuesday. The owner clicks a link in your cold email, lands on audit.youragency.com, types in ridgelineroofing.com, and waits about a minute while the scan runs. What comes back is a results page carrying your logo and colors. It shows six scored categories, an AI Visibility score of 31 out of 100 at the top, and a list of findings that blurs out after the first two. To read the rest, the owner enters a name and an email. The full report arrives from your domain, and a lead with that name, that email, and the exact gaps the scan found is waiting for you the next morning.

That's the whole product. A white-label AI audit is a self-serve website scan that checks how ready a business's site is to be read and recommended by AI search, delivered under an agency's own brand and domain, with the full report exchanged for the prospect's contact details. It's a lead magnet that does real diagnostic work, and the diagnosis is what makes the lead warm.

The timing is why agencies are adding one now. In 2026, HubSpot's marketing trends report found that [40.6% of marketers are updating their SEO strategy](https://blog.hubspot.com/marketing/hubspot-blog-marketing-industry-trends-report) for AI-powered search, from a survey of more than 1,500 marketers. Business owners feel the same shift from the other side. A Clutch report from January 2026 found [65% of consumers now use AI to research](https://finance.yahoo.com/news/clutch-report-65-consumers-ai-190800980.html) a product or business before they buy. The roofer already suspects customers are asking an assistant who to call. Your audit shows them how readable their site is when one looks. If you want to feel the unbranded version first, [run a free Lighthouse Local audit](https://audits.lighthouselocal.ai/?utm_source=lighthouselocal&utm_medium=marketing-site&utm_campaign=blog-what-is-a-white-label-ai-audit&utm_content=post-body) on any client site and read the report the way a prospect would.

## Six Scores From One URL

The scan reads the site the way a crawler does, then reports on 45+ on-site signals grouped into six categories. AI Visibility checks whether the business's facts are labeled in structured data an assistant can parse, LocalBusiness, Organization, AggregateRating, and per-service schema. SEO covers title and meta lengths, heading structure, and image alt coverage. Performance is Core Web Vitals, the speed numbers Google keeps on every site. Content looks for service pages, service-area pages, parseable FAQ blocks, and depth. Technical checks HTTPS, the sitemap, robots.txt, mobile rendering, and whether the navigation is crawlable at all. Trust and Authority looks for quantified social proof, years in business, certifications, and a named founder, the signals that tell a reader, human or machine, that this is a real company.

For Ridgeline Roofing, suppose the six come back as 31, 58, 44, 62, 70, and 49. The low AI Visibility score is the usual story on a local service site. There's no LocalBusiness schema, so an assistant has to guess the service area from prose, and [adding local schema markup](https://www.lighthouselocal.ai/blog/what-is-local-schema-markup) is a two-hour fix. The Performance score traces to a hero photo that weighs more than the rest of the page combined, which is the first thing to fix on [almost every slow small-business site](https://www.lighthouselocal.ai/blog/how-to-speed-up-your-website). Two findings deserve honest weight rather than alarm. Cloudflare reported that by June 2026, [52% of all crawler requests were for AI training](https://blog.cloudflare.com/agentic-internet-bot-report/), up from 22% a year earlier, so which bots a robots.txt lets in is now a visibility decision rather than housekeeping. And llms.txt is flagged as missing but weighted lightly, because Ahrefs studied 137,210 domains in 2026 and found [97% of llms.txt files received zero requests](https://ahrefs.com/blog/llmstxt-study/) from any crawler. A good audit tells the roofer both things, in that order.

![A branded audit results page for Ridgeline Roofing with six category scores, the top findings visible and the rest held behind an email form](https://www.lighthouselocal.ai/images/blog/blog-what-is-a-white-label-ai-audit-results.webp)

What the report can't do matters just as much. It reads the roofer's site. It doesn't ask ChatGPT, Gemini, Claude, Perplexity, or Google AI who they'd recommend for a roof in Boise, and it never claims to. A score of 31 means the site gives an assistant little to work with, not that the assistant has decided against the business. Keep that line clean in your own sales copy, because the prospect will ask.

## Your Domain, Your Logo, Our Scanner

White-label is the part that turns a diagnostic tool into a lead engine, and it has three layers. The first is the address. The audit runs on a subdomain you control, audit.youragency.com or whatever you name it, so a prospect who reads the URL bar sees your agency. The second is the surface. Your logo, colors, and name appear on the audit form, on the results page, and on every email the prospect receives, including the one carrying the full report. The third is the lead itself. The name, the email, and the findings route to you, never to a vendor dashboard the prospect could later find on their own.

That's a stricter definition than most software meets. Plenty of tools let you paste a logo onto a PDF and call it white-label. The test worth applying is the same one from [our comparison of AI visibility tools for agencies](https://www.lighthouselocal.ai/blog/ai-visibility-tools-for-agencies). Can the prospect open it at your domain, and does anything on the page reveal who built it? If the first answer is no or the second is yes, the vendor is the brand and you're the referrer. Lighthouse Local's [Beacon](https://www.lighthouselocal.ai/beacon) is built to pass that test. It runs on a custom domain you control, carries your branding across the audit, the results page, and the emails, and sends each prospect's details to your agency while we handle the scanning behind the scenes.

One caveat belongs here. White-label hides the vendor, not the method. A sharp prospect who runs the same site through a second agency's audit and gets the same six categories back will notice. That's fine, and it's worth being relaxed about. The audit earns the meeting. What you do with the fix list is what earns the client.

## A Bad Score Is the Best News Your Pipeline Gets

Most prospects will score badly, and that's the point. SOCi's 2026 Local Visibility Index measured more than 350,000 locations across 2,751 brands and found that [ChatGPT recommends just 1.2% of brand locations](https://www.prnewswire.com/news-releases/in-ai-driven-discovery-few-brands-are-chosen-most-disappear-302672281.html), against a 35.9% average appearance rate in Google's local three-pack. Uberall's May 2026 benchmark of restaurant locations found that [83% were absent from AI-generated recommendations](https://finance.yahoo.com/sectors/technology/articles/83-restaurants-invisible-ai-search-173500711.html) even though 86% had a Google presence. A roofer's odds aren't better. So a white-label AI audit isn't a screening tool that occasionally finds a problem. It's a conversation starter that finds one nearly every time, with the specifics attached.

Those specifics are what a cold email can't carry on its own. "Your site may not be optimized for AI search" is a claim. "Your site has no LocalBusiness schema, your hero image is 2.1 MB, and your robots.txt is three years old" is a diagnosis, with the prospect's own domain on it, that they requested themselves. The stakes are easy to state next to it. A 2026 survey of more than 1,000 US consumers reported by eMarketer found that [59% would likely visit a brand's site](https://www.emarketer.com/content/exclusive--consumers-turn-ai-purchase-recommendations-without-using-traditional-search) after an AI chatbot mentioned it, and 18% had already bought on an AI recommendation without checking a search engine first. An owner who reads those two numbers beside a score of 31 doesn't need a pitch. They need a call.

The audit also sorts your pipeline for you. A prospect who runs the scan and then trades an email for the full report has raised a hand twice, once to ask and once to read. That's a warmer signal than a form fill from an ad, and it arrives with a fix list you can quote in the first sentence of your follow-up.

## Audit vs. Tracker vs. the SEO Crawl You Already Sell

Three things get called an audit in agency sales decks, and they do different jobs. A white-label AI audit is a one-time, self-serve scan of a site's readiness for AI search, run by the prospect and delivered under your brand. Its job is to win the client. An AI visibility tracker is an ongoing service that puts the questions a client's customers type to ChatGPT, Gemini, Claude, Perplexity, and Google AI on a schedule, logs whether the client shows up in each answer, and reports on it monthly. Its job is to keep the client, and it's the recurring service you bill. A traditional technical SEO crawl is the deep audit your team runs across hundreds of pages with a focus on rankings, and it's a deliverable you charge for, not a magnet you give away.

![Three columns comparing a white-label AI audit, an AI visibility tracker, and a technical SEO crawl by who runs it, what it reads, and its job](https://www.lighthouselocal.ai/images/blog/blog-what-is-a-white-label-ai-audit-vs-tracker.webp)

The confusion costs agencies in two directions. Selling the scan as if it reports what AI says about a business overpromises, because it reads the site, not the answers. And selling the tracker as a lead magnet gives away the thing clients should be paying for month after month. The clean model is a handoff. The audit wins the client with a fix list, the fixes get done, and Lighthouse Local's [AI visibility tracker](https://www.lighthouselocal.ai/how-it-works) shows whether the assistants started naming them. That handoff is what turns a one-off project into [AI visibility as a recurring agency service](https://www.lighthouselocal.ai/blog/ai-visibility-the-new-service-for-agencies), and it's the reason to sell the audit and the tracker as two halves of one offer.

## The Arithmetic Behind Running One

Beacon is priced as one flat monthly plan with an included audit volume, a small per-audit charge beyond it, unlimited team seats, and a 14-day free trial, and no setup fee. The current figures sit on our Beacon page rather than in this paragraph, so they can't go stale here. The arithmetic that matters is yours, and it's worth doing before you sign up for anything. Suppose you send 400 cold emails a month and 8% click through to the audit, which is 32 scans. Half of those owners enter an email for the full report, so 16 leads, each with its own fix list. Four book a call, and one signs at whatever you bill monthly for AI visibility work. One new recurring client a month, from a tool that ran unattended at 9 PM, is the number to weigh the plan against.

Two honest conditions sit under that math. If your outbound is weaker than 400 emails a month, the audit doesn't fix it, and the cheaper play is to embed the scan on your own services page and let inbound traffic run it. And if you have no way to do the fixes, the lead cools fast, because a roofer who asked for a report expects the next email to say what you'd change. Decide the delivery side before the first lead lands.

## Brand It Once, Then Let It Run

Launching takes about a week, and most of that's waiting on DNS and writing emails.

1. **Brand it once.** Upload your logo and colors, point audit.youragency.com at the scan, and run your own site through it to see the results page the way a prospect will.
2. **Put it in two places.** Embed the scan on your services page for inbound visitors, and make it the single call to action in every outbound email, ad, and LinkedIn message.
3. **Write the follow-up before the first lead.** A three-email sequence that opens by quoting the prospect's own top finding, then offers a call, then shows one client's before and after.
4. **Run your current clients first.** Their reports give you fixed examples to cite, and a few of them will find gaps worth paying you to close.
5. **Decide the handoff.** Which fixes your team does, which you send out, and when the client moves onto ongoing tracking.

The urgency isn't manufactured. At I/O in May 2026, Google said [AI Mode had passed one billion monthly users](https://blog.google/products-and-platforms/products/search/search-io-2026/) a year after launch, and in February 2026 OpenAI announced [ChatGPT had reached 900 million weekly users](https://techcrunch.com/2026/02/27/chatgpt-reaches-900m-weekly-active-users). Every one of those sessions that asks for a roofer is a question your prospects' sites are or aren't ready for, and a scan that shows them which is the easiest first conversation an agency can start. [Lighthouse Local for Agencies](https://www.lighthouselocal.ai/for-agencies) pairs Beacon with ongoing tracking and with done-for-you fixes you resell under your own name, so the roofer who ran your audit at 9 PM can be a tracked client by the end of the month. Brand the scan once, and let the report open the door.

## Frequently asked questions

### What is a white-label AI audit?

A self-serve website scan that checks how ready a business's site is to be read and recommended by AI search, delivered under an agency's own brand and domain. The prospect runs it on their own URL, enters their contact details to get the full report, and the agency receives the lead along with the findings.

### What does a white-label AI audit check?

Beacon reads 45+ on-site signals in six categories. AI Visibility covers structured data like LocalBusiness and Organization schema. SEO covers titles, headings, and alt text. Performance is Core Web Vitals. Content looks for service and service-area pages and FAQ blocks. Technical checks HTTPS, the sitemap, robots.txt, and mobile rendering. Trust and Authority looks for social proof, years in business, and a named founder.

### Does a white-label AI audit show what ChatGPT says about a business?

No. It reads the business's own website and scores how easy that site is for an assistant to parse and trust. Seeing whether ChatGPT, Gemini, Claude, Perplexity, and Google AI name a business in their answers is the job of an AI visibility tracker, which runs on a schedule and reports over time.

### How does an agency get leads from a white-label AI audit?

The results page shows the scores and the first findings, then holds the rest of the report behind a short form. When the prospect enters a name and email to read it, the agency receives that contact along with the exact gaps the scan found, so the first follow-up can quote a specific problem on the prospect's own site.

### How much does a white-label AI audit cost an agency?

Beacon is one flat monthly plan with an included number of audits, a small per-audit charge above that, unlimited seats, and a 14-day free trial, and no setup fee. The current figures are on our Beacon page. The number to compare it against is what one new recurring client is worth to you each month.

### Is a white-label AI audit the same as a white-label SEO audit?

They overlap but aren't the same. A traditional SEO audit is a deep crawl your team runs and charges for, focused on rankings. A white-label AI audit is a quick self-serve scan a prospect runs themselves, focused on whether the site is machine-readable for AI search, and it's given away to start the conversation.

## Mentioned in this guide

[Beacon](https://www.lighthouselocal.ai/beacon) [Lighthouse Local for Agencies](https://www.lighthouselocal.ai/for-agencies) [How it works](https://www.lighthouselocal.ai/how-it-works)

### Table of contents

[A Roofer in Boise Runs Your Audit at 9 PM](#a-roofer-in-boise-runs-your-audit-at-9-pm) [Six Scores From One URL](#six-scores-from-one-url) [Your Domain, Your Logo, Our Scanner](#your-domain-your-logo-our-scanner) [A Bad Score Is the Best News Your Pipeline Gets](#a-bad-score-is-the-best-news-your-pipeline-gets) [Audit vs. Tracker vs. the SEO Crawl You Already Sell](#audit-vs-tracker-vs-the-seo-crawl-you-already-sell) [The Arithmetic Behind Running One](#the-arithmetic-behind-running-one) [Brand It Once, Then Let It Run](#brand-it-once-then-let-it-run) [Frequently asked questions](#faq)

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## Keep reading

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