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CyberLab.Team

AI Visibility · Promotion

We get AI tools to recommend you more often

AI visibility promotion is ongoing monthly work to get ChatGPT, Gemini, Perplexity and AI Overviews to mention and recommend your brand, done for businesses whose customers already ask AI for recommendations. When a customer asks "who should I pick", your brand should be in the answer. We build your visibility in AI results with clear, durable methods, and show the movement in numbers.

EU-registered (Tallinn) · GDPR, DPA on request · 4 languages · No lock-in · No revenue share
Discuss promotion Start with a visibility audit →

Working since 2015 · Google Partners · monthly report on 5 metrics · no spam, no guarantees, no contract lock-in

Why does this matter right now?

Some of your customers no longer reach your site through search: they get a ready-made answer from AI and act on it. If AI names competitors and not you, you don\'t "lose a ranking", you lose the chance to be in the running at all.

And here\'s a wrinkle regular SEO doesn\'t have: a spot in AI answers is harder to claim, but an already-established competitor is also harder to dislodge. So it pays to start the work sooner.

What "AI promotion" is (in plain terms)

It\'s the work of getting AI tools to mention and recommend you in their answers. The industry calls it GEO (optimization for generative answers); nearby you\'ll see AEO (for answer engines like Perplexity) and LLMO (for language models like ChatGPT and Gemini). For you it\'s one clear outcome: you get named more often, right where purchase decisions are made today.

Put simply: AI engines don\'t rank pages the way Google does, they recommend sources straight inside the answer. Our job is to make you the source the model picks.

One thing to keep in mind: AI promotion doesn\'t replace SEO, it builds on it. A fast site, clear structure and domain authority are the shared foundation for both Google and AI. We don\'t sell you a platform or a tool subscription, we work inside your CMS, and everything we do stays with your site.

A dashboard is not a service. Monitoring tools show you numbers, but someone still has to decide what to change and then do it. We read the data, do the work inside your CMS, and you own everything. If you already pay for a monitoring tool, we can work alongside its data. The work is led by the team behind CyberLab.Team OÜ, a verified Google Partner active in the Google Product Experts program, and you get a named point of contact at kickoff, not a rotating pool.

If you run an online store, AI visibility works at the product level too: shoppers increasingly ask AI what to buy and get a list of specific items. Here, accurate product data, markup and an up-to-date feed all matter. For stores we tie this to our separate Google Ads and Shopping service for e-commerce, and we'll explain what from the AI visibility work applies to your product cards.

Classic SEO vs AI visibility promotion

Classic SEO compared with AI visibility promotion
Classic SEO AI visibility promotion
Goal Clicks from ranked links Being named inside the AI answer
Unit of result Positions and rankings Mentions and Share of Voice
Key signals Links, keywords, on-page factors Citability, structure, brand recognition
Time horizon Months to build ranking authority Cumulative, first shifts over 2–4 months
How it's measured Rank trackers and organic traffic A fixed query set re-run monthly, with dated screenshots

The two overlap on the foundation: the clear structure, fast site and expertise that classic SEO rewards are the same signals AI engines lean on. We usually run both together rather than treating them as rivals.

Who this fits, and who it doesn't

We'd rather say so up front than take on work that won't land for you.

A good fit

  • •An SMB whose customers ask AI for recommendations in EU, PL, UA or RU-diaspora markets.
  • •You already have a basic SEO foundation, or you're ready to build it alongside the promotion work.
  • •You want a transparent monthly process and honest reporting, not a "trust us" arrangement.

Not the right fit

  • •You expect a guaranteed spot in AI answers within a few weeks: no one can promise that honestly.
  • •You want bulk cheap mentions or spam tactics: we don't do them, and they get penalized.
  • •You need a one-time read or advice only. For that, start with the visibility audit or a consultation instead.

Problems we solve

"AI recommends competitors and never names us"
Customers get a ready-made answer with other brands in it and go to them.
"We produce content, but AI never cites it"
The material exists, but it doesn't make it into AI answers, the structure and signals are off.
"We don't know what counts as a result or how to track progress"
No clear metrics, so there's no way to tell if the spend is working.
"We're worried about spam methods and getting banned or penalized"
The market is full of "guarantees" backed by risky spam.
"We want a clear process and reporting, not just trust us"
You want to see what's being done and where it leads.

What does AI promotion include?

Four areas, built on how AI tools actually decide who to cite.

Content that's easy to cite
We repackage and create material along the lines models like: one idea per block, the answer up front, the topic covered in full, facts and figures, author expertise. The goal is for AI to take your answer directly, without filling in the gaps.
Technical optimization
Schema/JSON-LD markup, correct access for AI bots, speed and a clear architecture, so models can actually "see" and understand your site correctly.
Authority and mentions, without spam
We work with sources AI trusts: reviews (Google Maps, industry platforms), profiles and directories, coverage in relevant media. Targeted and to the point, not networks of cheap texts.
Monitoring and iteration
We regularly measure mention rate, Share of Voice against competitors, sentiment and which sources get cited, then adjust the work based on data, not gut feel.

What do we do each month?

No vague "we handle optimization". Here are the actual lines of work.

01
Content built for citation
We create and repackage material around the AI queries common in your niche: the answer up front, one idea per block, facts and figures, question-style headings.
02
Answer pages and public data
AI tools more readily cite pages where a ready-made fact is easy to lift: prices and terms, comparisons, answers to common questions, the about-the-company section, service descriptions. We check whether you have those pages and create or rework them around the queries in your niche, so the model has a clean source that's easy to drop into an answer.
03
Technical work and access
We maintain and validate markup (Service, FAQPage, Organization, Breadcrumb, LocalBusiness), check that AI bots can reach you (GPTBot, OAI-SearchBot, PerplexityBot, ClaudeBot) and keep llms.txt current.
04
Mentions without spam
We strengthen your presence, selectively, where models draw their sources: professional directories and review sites, industry press, YouTube material, profiles in niche communities, Wikipedia and Wikidata where there's a genuine reason. A mention should be earned, not bought by the batch through networks. Review padding and fake forum posts work against you: platforms and the models themselves eventually filter out that noise, and the whole pool of mentions loses weight.
05
Re-measure and displace competitors
We run the same set of queries across the engines again and see what moved: mentions, Share of Voice, sentiment, the sources being cited. Separately, we look at which competitors hold your spot in the answers and what signals keep them there, then work to get you into the consideration set instead of or alongside them. We also track visits from AI sources (perplexity.ai, chatgpt.com, gemini.google.com) in analytics.
06
Report and a 30-day plan
We send a clear report with the trend and a plan for the next month. The volume of work depends on the tier, which we fix at the start.
Visits from AI tools are already visible, check for yourself

As of 13 May 2026, Google Analytics 4 added a dedicated "AI Assistant" channel: in the Traffic acquisition report it recognizes visits from ChatGPT, Gemini and Claude (Perplexity and Copilot still arrive as a regular referral by domain). One caveat: mobile apps often strip the source, so some of those visits land in "direct". That\'s why our report cross-references GA4 data with a direct measurement of mentions inside the answers themselves.

Different engines, different tactics

There\'s no single lever: each AI picks its sources its own way. We set priorities for the ones where your audience actually is.

Google AI Overviews
Leans on structured markup and expertise signals (E-E-A-T). The closest to classic SEO.
Perplexity
Cites specific URLs and favors freshness. It helps to have clear answer pages.
ChatGPT
Leans on brand recognition and consistent data about you across different sources on the web.
Claude
Leans on source authority and a clean answer structure. ClaudeBot crawls your site when access is open in robots.txt, so correct markup and clean answer pages matter.
Copilot / Gemini
A mix of signals: markup, domain authority and presence in the sources the engine trusts.

How we work

A transparent process with a point of contact

01

Visibility audit (start)

We set the baseline and the priorities. If you already have an audit, we build on it.

02

Plan and sign-off

We show what we'll do and in what order, the timeline expectations, and how we measure results. You confirm the scope.

03

Execution

Content, technical work, mentions, all per the agreed plan, transparently.

04

Reporting and adjustment

Regular, clear reports: what we did, how visibility is changing, what's next.

We set the point of contact and the channel at the start, so you always know who to go to.

How we measure results

Transparent and reproducible, with no "secret scores" from a closed dashboard.

A fixed set of queries
Branded and category queries your customers use. Every month we run the same set, so the trend is honest.
Engines as a measured set
ChatGPT, Google AI Overviews/Gemini, Perplexity, Copilot, counted separately, with the set agreed for your audience.
What's in the report
Mention rate, Share of Voice against competitors, sentiment, cited URLs, and, where it's tracked, visits from AI sources (perplexity.ai, chatgpt.com, gemini.google.com).
Dated screenshots
The report includes screenshots of the answers with the date and the query text, so you can re-check them yourself.

What does the monthly report look like?

Example structure, figures hidden, we walk through the real data on a call.

1 · Trend across 5 metrics
Mentions
Share of Voice
Sentiment
Sources
Depth
2 · Citations gained and lost
+ now in answers: new sources this month
− dropped: where mentions stopped
3 · Plan for the next 30 days
What we do first
What's in progress
What's up for re-check after edits

Honest about timelines and expectations

We deliberately don\'t promise "results in a week". Here\'s how it actually goes:

  • 2–4 mo In engines that search the web in real time (Perplexity, ChatGPT with browsing, Google AI Overviews), the first changes usually show within 2–4 months of starting.
  • longer In models that rely on training data (without real-time search), changes get picked up more slowly, as the model updates, sometimes on a horizon of up to a year.
A typical month-by-month sequence of work
01
Month 1
Baseline measurement, foundations, first content built for citation.
02
Month 2
Published material, mentions work begins, first re-measure against the same query set.
03–04
Months 3–4
Live-search engines usually start reflecting the changes across the query set.
on
Ongoing
The loop continues each month: re-measure, adjust, defend the spots you've claimed.

This is a typical sequence of work, not a set of promised outcomes for each month.

So AI visibility work isn\'t a one-off "hack", it\'s a cumulative effect. The earlier you start, the sooner you claim spots that are harder to give back later.

Timeline figures come from market practice (including Polish GEO agencies) and are refined for your niche and set of engines.

By 2027–2028, AI search becomes the primary channel, not a sidekick, and your spot in it has to be defended month after month

Gartner predicts (February 2024) that traditional search volume will drop 25% by 2026, as users increasingly get a ready-made answer without clicking through. It's already underway: McKinsey estimates (October 2025) that around 50% of Google searches today come with an AI summary, and by 2028, on their own forecast, that share will pass 75%.

And AI behavior is shifting: models are starting not just to answer but to make purchases. In September 2025, OpenAI launched Instant Checkout in ChatGPT, first for US shoppers buying from Etsy sellers, with over a million Shopify stores set to follow soon. Gartner predicts (June 2025) that by 2028, 33% of enterprise software applications will include agentic AI, and at least 15% of day-to-day work decisions will be made autonomously by agents. An agent picking a product or service for a user will recommend what it has seen before and trusts on the strength of its data structure.

That's why AI visibility isn't a one-off task. Algorithms update, new engines come to market, competitors build up their presence. The academic GEO study (Aggarwal et al., "GEO: Generative Engine Optimization", KDD 2024) showed that structured optimization, statistics, cited sources, clear factual detail, can lift presence in AI answers by up to 40%. But that isn't the product of a single edit: the effect holds while the work continues.

If you want to understand where you stand before taking on promotion, start with a visibility audit.

Sources: Gartner, press release "Gartner Predicts Search Engine Volume Will Drop 25% by 2026", 2024-02-19 (forecast). McKinsey & Company, "New front door to the internet: Winning in the age of AI search", October 2025. OpenAI, "Buy it in ChatGPT: Instant Checkout and the Agentic Commerce Protocol", 2025-09-29 (US data). Gartner, press release "Gartner Predicts 33% of Enterprise Software Applications Will Include Agentic AI by 2028", 2025-06-25 (forecast). Aggarwal et al., "GEO: Generative Engine Optimization", arXiv:2311.09735, accepted at KDD 2024.

No spam and no "guarantees", and why that's in your interest

The market is full of people promising a "guaranteed spot in ChatGPT" and, for a small fee, pushing dozens of posts through networks of weak accounts. The problem: platforms recognize that spam pattern and penalize the whole batch of posts, so you\'re paying for something that can do harm.

We don\'t work that way. Only methods that hold up: expert content, correct technical work and mentions that are on point. Appearing in an AI\'s answers honestly can\'t be guaranteed, but your chances can be raised systematically and the progress shown in numbers.

Honest about the boundaries

To set expectations, we spell it out up front, what promotion does not include.

We don't control the algorithms
We don't control AI answers directly, no one can. Anyone who promises otherwise isn't being straight.
Fixing errors takes time
Correcting false information about you depends on a given model's update cycle, not on our actions alone, so it isn't instant.
No padding or fakes
We don't write paid reviews, create fake accounts, or buy mentions by the batch through networks.
A realistic horizon
Speed depends on how competitive the niche is and your starting point. The first noticeable shifts are a 2–4 month horizon, with no "in a week" promises.

If AI gets you wrong

AI tools sometimes invent prices, mix up your services, or blur you with another brand. That\'s part of the promotion work, not a reason to throw up our hands. We run a separate module for correcting false information, on a clear cycle.

1 Detect

We run the queries across the engines and pin down where and what is wrong: price, service, founding year, location, a mix-up with another brand. We log it by model, date and query wording.

2 Trace the source

We work out where the model got the error: an outdated page, someone else's directory, an inaccuracy in the markup, or another party's material it confused with yours.

3 Correct

We fix the data in authoritative sources and in your site markup, so the model has accurate information for both its next training and live search.

4 Verify

On the next runs we check whether the error has cleared, and repeat the cycle if needed.

To be straight: no one can guarantee a false answer is removed entirely. The fix isn\'t instant and depends on a given engine\'s update cycle, but errors do get cleared out systematically.

Pricing

Price is on request

This is a monthly format (a retainer); the cost depends on content volume, the number of markets and languages, and whether external mentions work is needed. Send a request, and after the audit or brief we'll propose a scope and quote a price for your task.

What drives the costOptions
Content volume per monthfrom targeted to a steady stream
Number of markets/languagesone or several (EN/UK/RU/PL)
Mentions / source workbasic or extended
Depth of monitoring and reportingstandard or extended
Find out the promotion cost
What smaller and larger scope look like

A smaller scope means one market and language, a targeted content cadence, and the standard 5-metric report. A larger scope means several markets and languages, extended mentions work, and deeper monitoring.

Both follow the same monthly loop and the same reporting format. There are no fixed tiers here: we agree the scope with you and quote it after the audit or brief.

See your starting point before spending anything

On the intro call we run 2 to 3 of your real customer queries live in two engines, so you see your current AI visibility with your own eyes. It's a human check on a call, not an automated report, and there's no email gate.

Request a mini-check on a call

Or just ask directly: Telegram @cyberlabteam · WhatsApp

What sets us apart

  • No "guaranteed placement" and no spam. Only methods that hold up and won't do harm.
  • Transparent, in numbers. Clear visibility reporting, not "we did some work".
  • Plain language. No jargon and no fear-based pressure.
  • A foundation that carries over. Working since 2015, Google Partners, SEO and ads experience. On top of that, Google Discover/News: the same "structured, citable, expert content" principle that AI rewards.
  • Four languages and markets: EN, UK, RU, PL, covering what most don't.

Product ladder

Which of these services do you need

One-off report + plan
Visibility Audit

Understand whether AI sees you and where you stand today.

Learn more
Direction, you execute
AIEO/GEO Consulting

Get expert direction and decisions, train your team — do it yourself.

Learn more
You're here
Done-for-you, monthly
AI Promotion

Have it all handled for you, end to end.

You're here

What it looks like in practice

We don't pass off other people's percentages from other people's case studies as our own results. What we can show is the process itself, on an anonymous example: for a client in a service niche, ChatGPT was naming a competitor's outdated page, with stale terms, for a core query. We traced where the model was pulling that source from, fixed the data in the client's directories and markup, and on the next runs watched the answer start to cite the correct information. No client name and no invented numbers, real cases with verified data will be added as they accumulate.

Frequently asked questions

What exactly do you do to get AI recommending me? +
Three things in parallel. We make content that's easy for models to cite (clear structure, the answer up front, facts, expertise). We tidy up the technical side (markup, access for AI bots, speed). And we carefully strengthen mentions in sources AI trusts, without spam. Alongside that, we monitor what's changing and adjust the work based on data.
How is this different from AI visibility tools like Otterly, Peec or Profound? +
Those are monitoring dashboards: they measure your visibility, but you still have to act on the numbers. We interpret the data, produce the content, do the technical work and earn the mentions, with a reproducible report and no proprietary score. If you already pay for one of those tools, we can use its data alongside our own query runs rather than replace it.
Can you guarantee I'll appear in ChatGPT answers? +
No, and that's the honest answer. No one controls an AI's answers directly, so appearance can't be guaranteed. Those who promise a "guaranteed spot" usually use spam that gets sites penalized. We raise your chances with methods that hold up and show progress in measurable terms.
How is this different from regular SEO? +
The goal is different: not clicks from links, but a mention and a recommendation inside an AI answer. And the factors are different: citability, structure and brand recognition matter more than link counts. One fact shows the gap: in a Profound analysis of 680 million citations, only around 11% of domains appeared in both ChatGPT and Perplexity, so strong SEO doesn't carry over to AI automatically. SEO is still the foundation, and we often run the two together.
When will I see the first results? +
In engines that search the web in real time (Perplexity, ChatGPT with browsing, AI Overviews), usually within 2–4 months. In models without live search, changes get picked up more slowly, as the model updates. It's a cumulative effect, so it pays to start sooner. We'll give you specific expectations for your niche after the audit.
Which AI tools do you cover? +
ChatGPT, Google AI Overviews/Gemini, Perplexity, Microsoft Copilot, Claude; for a CIS audience, also YandexGPT/Alice, GigaChat, DeepSeek. We set priorities by your audience, so the budget doesn't go to engines without your customers.
How much does promotion cost? +
Price is on request. It's a monthly format; the cost depends on content volume, the number of markets and languages, and the mentions work. After the audit or brief we'll propose a scope and quote a figure for your task.
Do I have to start with an audit? +
It's advisable, so we can see the baseline and not work blind. If you already have an audit, we'll start from it. Without knowing your current visibility, we can't show progress honestly.
Who writes the content, you or us? +
Usually we take it on: we write and repackage material for citability. If you have your own writers or an expert, even better, then we set the structure and edit. Your source material and expertise only strengthen the result.
Do you work with my CMS (Shopify, WordPress, OpenCart and so on)? +
Yes, the methods aren't tied to a specific CMS. We implement content, answer pages and markup (Schema/JSON-LD) right inside your system, and set up access to robots.txt and llms.txt there too. On Shopify and WordPress that's usually done with built-in tools and plugins; on custom or limited platforms, through templates and server-side edits. If something is technically out of reach (say, you can't edit the markup directly), we'll tell you about the limit honestly and suggest a workaround, rather than pretend everything is fine.
How will I know the money is working? +
From regular reports: mention rate, Share of Voice against competitors, sentiment, which sources AI cites, and, where possible, visits and leads from AI tools. We agree up front on what counts as a result.
What if I have no SEO base at all? +
Then part of the work is foundation: the technical state of the site, structure, expert content. We'll tell you honestly what to do first and suggest a sensible order, without wasted spend.
Is there a contract and a minimum term? +
The format is monthly; terms and any minimum are agreed at the start, transparently, with no hidden clauses. Since the effect is cumulative, we talk through a realistic horizon up front rather than promising instant results.
What happens if I want to stop? +
Everything done (content, markup, mentions) stays with your site and keeps working. We don't hold anything hostage, and we agree the exit terms in advance.
Could this harm my site? +
No, we deliberately avoid the spam methods platforms penalize. The danger isn't in working with mentions, it's in how it's done: buying dozens of posts through networks of weak accounts, review padding and fake forum posts get recognized by platforms and the models themselves over time, after which the whole pool loses weight, so the money goes toward something that can backfire. We work only with methods that hold up: expert content, correct technical markup, and mentions earned on the merits in sources AI trusts.
What if competitors are already there and I'm not? +
That's common, and a reason to start sooner: it's harder to dislodge someone established in AI answers than to claim an open spot. First we look at which queries the competitor is established in and what signals hold them there, where they're cited, what their answer pages and mentions look like. The audit reveals their weak spots and the queries where you have a real chance to enter the consideration set alongside or instead of them. From there, the Share of Voice each month shows whether the picture is shifting.
What happens if a model is retrained or updated and the mentions reset? +
It does happen: a major model update can reshuffle who it names. That's why we don't rely on a single one-off result, we keep the work going and re-run the same queries every month. If something drops after an update, we see it in the report and respond. A durable foundation, expert content, correct markup and real mentions, survives updates better than one-off tricks.
What do you do if an AI says something false about me? +
First we pin down where and what is wrong, price, service, founding year, a mix-up with another brand. Then we correct the data in authoritative sources and in your site markup so the model has accurate information, and we track whether the error clears on the next runs. To be straight: the fix isn't instant and depends on a given engine's update cycle, but errors do get cleared out systematically.
Does AI bring real traffic and leads, or is it just a nice metric? +
Visibility in AI isn't the end in itself. Some engines (Perplexity, ChatGPT with browsing, AI Overviews) give clickable links, and visits from them show up in analytics as the sources perplexity.ai, chatgpt.com, gemini.google.com, which we track. Some journeys end without a click: the person gets an answer with your brand in it and comes to you directly, by call or messenger. So the report shows both the visits and the share of mentions, and we agree up front on what counts as a result for your business specifically.
Will optimizing for AI hurt my regular SEO in Google? +
No. What AI tools like, clear structure, direct answers, correct markup, expertise, is exactly the same set of signals Google values. We don't do anything that conflicts with regular search, and we don't game one engine at the expense of another. Where AI and classic SEO interests do diverge, we say so plainly and pick the option that doesn't hurt your Google positions.
Can I verify your results myself? +
Yes, and we build the report that way on purpose. We use a fixed set of queries across the chosen engines, and the report shows the queries themselves, the date and screenshots of the answers. You can ask ChatGPT, Gemini or Perplexity the same questions and see a similar picture. AI answers vary a little from session to session, so we look at the trend across the same set rather than at a single query.
Which pages do AI tools cite most, and do I need special ones? +
Models most often pull facts from pages where the information is easy to lift without guesswork: prices and terms, comparisons, answers to common questions, service descriptions, the about-the-company section. You don't have to build separate dedicated pages, but if those sections are missing or vague, we create or rework them around the queries in your niche. The aim is to give the model a clean, clear source that's easy to drop into an answer.
Do you place mentions by hand, or through link exchanges and fake activity? +
By hand and on the merits only. We don't use cheap-text exchanges, review padding, or fake forum accounts as a matter of principle. Platforms and the models themselves eventually flag that spam pattern, and the whole pool of mentions loses weight, so you'd be paying for something that can backfire. We work with sources AI trusts: professional directories, review sites, industry press, niche communities, where a mention is earned, not bought by the batch.
What exactly do you NOT do as part of promotion? +
We don't control AI answers directly and we don't promise a guaranteed spot, no one can. We don't write paid reviews, create fake accounts, or buy mentions through networks. We don't game one engine at the expense of your Google positions. And we don't promise instant results: the first noticeable shifts in engines with live search are a 2–4 month horizon. Anything we can't do honestly, we say so at the start, not after the fact.
What if a specific competitor is already locked into AI answers, can they be displaced? +
They can, but it's harder than claiming an open spot, which is why starting sooner pays off. First we look at which queries the competitor is established in and what signals hold them there: where they're cited, what their answer pages and mentions look like. Then we work to get you into the consideration set alongside or instead of them, and we watch the Share of Voice each month to see whether the picture shifts. We can't guarantee displacement, but we can raise your chances systematically.
Does this apply to an online store and product cards? +
Yes. Shoppers increasingly ask AI what to buy and get a list of specific items. To land in those answers, accurate product data, markup and an up-to-date feed all matter. For stores we tie the AI visibility work to our separate Google Ads and Shopping service for e-commerce and point out what from it applies to your specific cards and category, so you don't do anything unnecessary.
Do you track visibility in Claude separately from ChatGPT? +
Yes, if your audience uses it. Claude is a separate engine with its own behavior: it leans on source authority and a clean answer structure, and its ClaudeBot crawls a site only when access is open in robots.txt. What Claude cites can differ from what ChatGPT or Perplexity names, so we count the engines separately and prioritize the ones where your customers actually are, not all of them at once.
Can you run promotion in several languages and markets at once? +
Yes. EN, UK, RU and PL are native working languages for us, and content is transcreated for each market, not machine-translated. The number of markets is one of the main factors that shapes the scope and the cost, so we agree it with you up front.
Some agencies promise first AI results in two weeks, why do you say 2–4 months? +
A single citation can pop up fast in live-search engines, and that is usually what a fast promise screenshots. A stable, repeatable presence across your whole query set is the honest 2–4 month horizon. We would rather set that expectation than sell you a single screenshot that may not hold.
Do you sign a DPA and how do you handle access under GDPR? +
We are an EU-registered company in Estonia, we work under GDPR and we sign a DPA on request. Access is least-privilege: your accounts, CMS and analytics stay yours, and everything we produce stays with your site if you leave.
Can we start small to test the fit before a bigger scope? +
Yes. The natural path is the one-time visibility audit first, then a targeted scope on one market. On the intro call we also run a couple of your real queries live, so you see the starting point before committing to anything.

Claim your spot in AI answers before a competitor does

We'll start with an audit and a clear plan. No spam, no "guarantees", with honest reporting. Price is on request.

Discuss promotion Order the audit first

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