
Does white label SEO cover AI search?
What to check before you buy white-label SEO that includes AI search, and how to keep the work, the approvals and the reporting clear for your clients.
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Not automatically. White-label SEO means another provider does the work and your agency sells it under its own name. Whether AI search is included depends on the agreement. Ask how the provider finds buyers’ questions, checks what AI tools say, changes pages and reports what changed.
Avouch offers white-label AI search: we do the work, and your agency sells it under its own name and keeps the client relationship.
What you are buying
Semrush defines white-label SEO as an agency providing SEO services to clients under its own brand, while another provider does the work. The arrangement can cover strategy, account management and reporting as well as the work itself.
Decide first whether you need more hands or someone to work out what should happen next:
| What you hand over | What your agency keeps | What the partner should deliver |
|---|---|---|
| A defined task | The research, the brief and client approval | The task, with evidence that it is done |
| Focused specialist help | A clear problem and access to the right people | An investigation and an agreed piece of work |
| A managed programme | The commercial brief and approvals | Priorities, the changes, and continuing analysis |
Check that AI search is really included
AI search needs work that a normal SEO package may not cover. Ask the provider to show you, with a real example, how it:
Finds the questions buyers actually ask, from their own words, not only from a keyword tool. See jobs to be done and choosing the questions to track.
Checks the answers across AI tools, and keeps mentions, recommendations and citations separate. See AI visibility metrics.
Opens the pages AI cites and decides what to change because of them.
Makes the changes, or tells you clearly who will.
If the service stops at a tracking report, your agency still has to turn that report into work. Ask for samples of past work; Semrush notes that a provider unwilling to share any is a warning sign.
In our own daily tracking, AI answers to “white label SEO UK” mostly cited white-label suppliers’ own websites. Expect the claims you read to come from suppliers themselves, and check them.
What to look out for
Providers differ most in the data they hold and how they use it. Ask these questions before you sign, and compare the answers side by side.
| Ask | Why it matters | A good answer |
|---|---|---|
| Which AI tools do you check? | Each tool gives different answers and leans on different websites. | Named tools, such as ChatGPT, Gemini, Claude, Copilot, Google AI Overviews and AI Mode, chosen for the client’s buyers |
| How often do you ask each question? | About half the websites AI cites change from one day to the next. | The same questions on a fixed schedule, repeated, with trends reported over weeks |
| Do you keep the full answers and the pages they cite? | Without them, nobody can check a claim or see why a result changed. | Every answer and cited page saved, dated and available to you |
| Where do your questions come from? | Questions built from keywords miss what buyers actually ask. | From buyers’ own words, with the source of each question recorded |
| Do you check who is speaking in your buyer research? | In our research, only 40% of posts first marked as buyers were buyers. | A check of each source and speaker before a question is used |
| Do you separate mentions, recommendations and citations? | Being named is not the same as being recommended. | Three separate measures, with written definitions |
| Can you see AI robots and AI visits on the client’s website? | It shows whether AI tools can read the site and whether visits arrive. | Robot visits and visits from AI assistants, from the website host or analytics, where access allows |
| Do you read Search Console and Bing Webmaster Tools? | They are the search engines’ own figures for their AI features. | Both connected, with AI impressions and citations reported separately |
| Which countries do you check? | Answers differ between countries, such as the UK and the US. | The countries the client sells in, asked from those countries |
| Who owns the data if we part ways? | You need the history to keep reporting to your client. | An export of every question, answer and report in a standard format |
Deeper checks. A strong provider will also have clear answers to these:
| Ask | Why it matters | A good answer |
|---|---|---|
| Do you test what AI says without searching the web? | Some answers come from what the model learned in training, not a fresh search. A fix to the website only reaches those answers when the model is updated. | Results with search on and search off reported separately |
| How do you stop memory and personal settings shaping the answers? | Chat history, saved memory and personal instructions change what an AI tool says to each person. | Fresh conversations with memory and personal instructions off, and the settings recorded with each answer |
| Do you check the apps people use, or only the API? | Answers through the developer API can differ from what people see in the app. | A clear statement of the method, with app checks to confirm the pattern |
| Do you record which model gave each answer? | A new model can change results overnight. | The model and date saved with each answer, and model changes marked in reports |
| Do you test follow-up questions? | Buyers ask a second and third question, and the shortlist can change. | Some saved conversations with follow-ups, kept separate from single questions |
| Do you check that what AI says about the client is correct? | A positive answer can still give the wrong price, service or accreditation. | Answers checked against the client’s confirmed facts, with errors listed |
| Do you record the searches the AI makes? | AI tools run their own extra searches, and those show which pages they look for. | The searches saved where the tool shows them, kept separate from your own ideas |
| Do you record ads shown beside AI answers? | Google and ChatGPT now show ads beside some AI answers, and an ad is not a recommendation. | Paid placements recorded separately from the answer itself |
Warning signs:
- a guaranteed ranking, mention or recommendation;
- a single “AI visibility score” with no written formula;
- one check per question, or no saved answers;
- no samples of past work;
- reports that end with a chart and no recommended next action.
Agree who does what
- Name who takes the brief, does the work and checks it, and who approves, publishes and fixes mistakes.
- Keep website access and client approvals explicit. Google reminds site owners that they are responsible for the actions of any company they hire.
- Agree what arrives at handover: the work, its sources, the changes made, open issues and the next action, and which records you keep if the arrangement ends.
- Agree how extra requests are handled. A new market or product changes the work and the price.
Google’s own questions for hiring an SEO are a good checklist: examples of previous work, expected results and timescale, how success is measured, and how every change will be explained.
Report honestly to your client
Show what was delivered, what changed in the AI answers and what happened to suitable enquiries. Keep mentions and recommendations separate. Explain the gaps: Search Console counts AI features inside its normal Web report, and people who read an AI answer often come back later by searching the company’s name, which hides the credit. Ask new customers how they found the business. Our guide to measuring the return shows how.
How Avouch can help
Avouch offers white-label AI search for agencies. We do the work under your agency’s name: buyer research, question tracking across the main AI tools, content and page changes, and reporting your agency can present as its own. We keep every answer and cited page, check who is speaking in our buyer research, and report mentions, recommendations and citations separately. Your agency keeps the client relationship. Scope, outputs and price are agreed with your agency before work starts.
Other Avouch services, priced separately
These are extra to the white-label work above. Each one is scoped and priced on its own, and you can add any of them without the others. None of them is needed before the white-label work starts.
| Service | What it is | How it is priced |
|---|---|---|
| Free scan | A first view of whether AI recommends a company: example answers and who is recommended instead | Free. No call needed |
| Recommendation Index™ assessment | A one-off review across up to 9 AI tools, with a written, prioritised plan | A one-off fee, agreed before you commit |
| Delivery packages | Website and SEO; content and evidence; digital PR and industry coverage; LinkedIn; YouTube and expert video; Reddit and sector communities; reviews and industry profiles; Instagram, TikTok and other social | Scope and price agreed for each package, as a project, a campaign or ongoing work |
Want to talk about white-label AI search?
Talk to us about the clients and work you have in mind. To see how AI tools treat one of your clients, start with a free scan of their market.