Your clients ask whether they show up in ChatGPT, Perplexity and Google's AI answers. You sell the work. I do it behind your name, and every finding is checked by hand.
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White label AI SEO services means AI search work, which some call AEO or GEO, done by one provider and sold by an agency under its own brand. Here that means your clients ask whether they show up in ChatGPT, Perplexity or Google's AI answers, you sell them the work, and I do it behind your name.
It is the same order of work on every site: whether AI crawlers can get in, whether the content is in the HTML they receive, whether the site says plainly what the business does, and then what the AI tools answer today. Each step ends in something your client can check.
I have not run a white-label engagement yet, and I would rather say so here than have you find out later. What I can show you is the work itself: 8 published engagements with their reports, and two pieces of my own research on AI search with the data public.
Five checks, in this order. The report goes out in your template, or in mine with no name of mine on it.
| Step | What your client learns | What goes in the report |
|---|---|---|
| Access | Whether AI crawlers are allowed in, and actually let in | The response each crawler received at robots.txt and at the firewall, with the request to repeat it |
| Server HTML | Whether the content exists before JavaScript runs | The raw server response for each key page, next to what a browser shows |
| Plain statements | Whether the site says what the business does, for whom and where | The sentences an AI answer could draw on, and the ones that are missing |
| Third-party mentions | What else an AI answer can find about the business | The directories, reviews and articles that mention it, with links |
| Answers today | Whether the business appears for the questions its buyers ask | A fixed list of questions asked in the AI tools, each answer recorded with its date |
Every finding carries two labels, how serious it is and how sure I am, and a step your client can run to see it for themselves.
Access comes first because nothing else counts without it. On one B2B software site, robots.txt welcomed AI crawlers and the host's firewall blocked them anyway, so the invitation did nothing.
Then rendering. Three of the eight sites in my case studies were JavaScript single-page apps, and to a crawler that does not run JavaScript, which includes most AI crawlers, a site like that can be empty. In my own test of sites built with AI site tools, 21 of the 38 that could be fetched sent under 20 words of text in the HTML.
Only after those two does content matter. An agency that sells a client content for AI answers before checking either is starting at the wrong end, and the client is the one who finds out.
I checked 603 citations from Perplexity across 30 B2B questions, asked twice. Holding the page's ranking constant, two things were linked with being cited: a table of contents, and a visible "Updated" date. FAQ markup was not.
The limits are part of the finding: one engine, one window of time, B2B questions only, and correlation rather than cause. The full study is on the blog with its data.
So the advice your client gets from this work is groundwork first, then measurement. It is not a formatting trick, and it is not a promise.
The labels overlap, and agencies use them differently. I use AI SEO as the umbrella, AEO for being the answer a search engine or assistant gives, and GEO for being drawn on and named in AI-written answers.
Sell it under whichever name your clients already use. The work is the same five checks, and the report says in plain words what was checked, so the label on the cover does not change what the client gets.
The arrangement is written down before any work starts.
SEO and AI search are done together here, so the ranges are the same as for white-label SEO, per client site. You set your own price to your client; I never see or quote it.
| Option | What it includes | Abroad (USD) | India (INR) |
|---|---|---|---|
| Free findings | Three to five verified findings on one site, each with a check you can run. Within two working days. | Free | Free |
| SEO and AI search sprint | A full audit within 48 hours of access, verified by hand, and the fixes within 7 days. | $300 to $500 | ₹20,000 to ₹35,000 |
| Monthly SEO and AI search | Ongoing work against an agreed list: fixes, content briefs, re-audits and a monthly report against the baseline. | $500 to $800 a month | ₹25,000 to ₹40,000 a month |
These are ranges, not packages. Where a site falls depends on its size and what the free findings show, and the quote comes after them. No price on this site buys a ranking, a traffic figure or an AI citation.
A promise about what a model will say. Nobody controls that, and an agency that promises it is the one left explaining when it does not happen.
FAQ markup as a way to get cited. It is useful for readers; it is not a citation lever, and I will not present it as one.
An llms.txt file as something AI engines are known to use. There is no primary source for that, so I will not claim it.
Real engagements, described by sector only. Each includes the report and the workbook.
Full technical, schema, performance and AI-search audit with a phased action plan. When the top finding was challenged, I re-tested it against independent third-party crawl data — it held.
Two candidate findings were dropped in verification — one was a redirect the checker had followed and mistaken for a live duplicate page.
Audit delivered; fixes not yet implemented.
Full technical audit of every reachable URL. My pre-send check caught five false findings, so I withdrew the draft and reissued it corrected — then a full SEO and AI-search report with a 90-day proposal, a topical map and a 30-day blog plan.
Before sending, my verification pass found five false findings: the measurement script had read only the first matching tag on each page. I withdrew the finished draft and reissued it corrected.
Audit delivered; fixes not yet implemented.
A baseline audit of my own agency's site across six specialist passes, cross-checked against each other, then a full re-audit after the site was rebuilt, with an action plan for each.
Across the two audits, more than a dozen automated tool warnings were rejected on verification before anything was written into a report.
Audited in August 2026, then re-audited after the rebuild.
AI search work, also sold as AEO or GEO, done by one provider and sold by an agency under its own brand. The agency keeps the client and the pricing; the provider does the checks, the fix specifications and the reporting in the background.
The names point at different places an answer appears, a search engine's own answer or an AI-written one, but the work behind them here is the same five checks and one report. Use the name your clients use.
No. Nobody controls what a model says. What I can give you is the groundwork, done and checked, and a dated record of what the AI tools answered, so there is something honest to compare with next time.
Not from me. Reports carry your brand and no name of mine, and I do not contact your client unless you ask me to join a call.
Apart from rankings. A fixed list of buyer questions is asked in the AI tools and each answer is recorded with its date. Rankings, clicks and impressions come from Search Console and are reported separately.
With me, per client site: $300 to $500 for a one-off sprint (₹20,000 to ₹35,000 in India) and $500 to $800 a month for ongoing work (₹25,000 to ₹40,000 a month). The first three to five findings are free.
Send a URL. Three to five verified findings come back within two working days, free, with no call required.
Ask my AI
Answers from notes I wrote. It shows its sources and says when it does not know.
Ask about the case studies, how I would approach your site, or what actually goes into an audit. Every answer shows the note it came from.
AI-generated from my own notes. Verify anything that matters.