Brand & monitoring setup

Launch GEO Scout in a few minutes: onboarding, prompts, competitors, and your first monitoring run

Go through onboarding and pick prompts for your first run

Onboarding launches GEO Scout in three steps: you enter your site, review the brand data that AI has gathered automatically, and pick up to three prompts for a trial run. The whole process takes a few minutes — from there the system checks your visibility in ChatGPT, Gemini, and Yandex with Alice on its own.

Step 1 — enter your site URL. GEO Scout parses the homepage, detects the brand, and shows what it found so you can confirm this is the right domain
Step 2 — review the data. AI has already detected the brand name, pulled a description, and prepared business context. Fix anything off or keep as-is — the sharper the entities, the better the recommendations and reports
Step 3 — pick up to three prompts for the trial run. Choose from the generated list or add your own. Narrow, niche prompts surface more accurate competitors than broad queries
Once onboarding is complete, GEO Scout sends the prompts to ChatGPT, Gemini, and Yandex with Alice. The first visibility and competitor results appear on the dashboard within a few minutes
The trial run is free: 3 prompts once every 7 days. Enough to see your first visibility patterns and understand which AI providers surface you and which miss you — before moving to a paid plan

Start with prompts you actually want your customers to find you on. A broad query like "freelance marketplace" will create noise in the competitor list, a narrow one ("where to find a freelancer for a WordPress-based online store") surfaces direct competitors and clean signals you can act on.

Configure prompts and clusters for monitoring

In Monitoring → Prompts you manage everything that gets measured every day: the prompt list, clusters, AI providers per prompt, and cluster geography. Your plan sets the daily run budget — from there you freely decide how to spend it across prompts and providers to fit your goals.

Your plan sets the daily run budget. The top panel shows total runs, how many were used today, and the answer rate across providers. Each prompt has per-provider toggles — distribute the budget freely between prompts and models
Split prompts into clusters by meaning: e.g. "Finding web-development contractors" and "Finding branding & marketing designers" — two different business directions. On the dashboard and in reports, metrics — visibility, Share of Voice, citation share — are computed separately for each cluster
Assign each cluster a color. Handy when you have 5–10 directions: in tables and charts the cluster is recognizable visually without reading the name
A cluster can have its own geography, separate from the brand: inherit from brand, local (country + city), regional, country-wide, or international. Useful for geo-dependent queries like "find a freelancer in St Petersburg" or "buy in Berlin"
Cluster geography takes priority over brand settings for every prompt in the group. This lets you run a single brand with multiple geo directions in one workspace — no need to create a separate brand per country or city

If your prompts mix different intents — commercial and informational — split them into separate clusters. That way you immediately see where the brand wins on "buy" / "order" queries and where it wins on educational topics, and you can optimize each bucket independently.

Content language and Telegram reports

In Settings two useful options help you tune GEO Scout to your team and process: the language of AI-generated content and connecting a Telegram bot for weekly visibility reports.

In brand settings, pick the content language — Russian or English. GEO Scout uses it for every AI-generated artifact: reports, articles, recommendations, and briefs. The language of the AI providers' answers themselves stays unchanged — this only affects your output documents
Content language is independent from the interface. You can work in a Russian UI and receive recommendations in English — handy if your market is international or the team is distributed
In the Notifications tab, connect a Telegram bot to receive the weekly visibility report straight in your messenger — no need to open the dashboard. Click "Generate code" and send it to the bot to link the brand
Each brand is linked separately. The weekly report contains the key changes: Share of Voice and citation shifts, prompts that rose or dropped, competitors gaining ground — all in a compact format for a quick scan

Content language is a decision for the team, not for your site's visitors. If your market is English-speaking but the team prefers a Russian UI, safely set English for content — the AI will write recommendations for your audience while you keep working in your preferred locale.

Name variations and additional domains

GEO Scout uses AI to identify your brand and competitors inside AI responses automatically — no extra setup required. Add manual name variations and additional domains only for non-obvious cases: rebrands, unusual transliterations, or when you run several sites.

Name variations are only needed for non-obvious cases — when AI detection might not link different spellings to the same brand. Typical triggers: a rebrand (e.g. T-Bank / Tinkoff), non-standard transliteration, or internal abbreviations. Ordinary case variants and obvious spellings are handled by the system itself
Without variations, AI can "split" your SoV between two names and you will see artificially depressed metrics. Once configured, Share of Voice and citation share are computed correctly across all variants at once
Additional domains. If the brand runs on several sites — main and regional, primary and a blog on a separate domain, landing pages — add them all. Any citation of any domain counts toward your Share of Citation
Especially important for holdings, media groups, and post-M&A brands: one brand in GEO Scout stays unified in the reports, regardless of how many legal entities and domains sit behind it

After a rebrand, keep the old name in the variations list for at least a year: LLMs train on historical data and will mention the brand by its previous name for a long time. Remove the variation — lose those mentions and a real chunk of your Share of Voice.

Launch monitoring and start the full cycle

Once your plan is paid, the monitoring page shows a "Ready to launch" banner. Double-check your prompts and clusters, click "Launch monitoring" — and GEO Scout begins the daily cycle of observation, diagnosis, change, and verification.

The "Ready to launch" banner appears automatically once the subscription is active. Two buttons: "Go to prompts" — to run through the setup once more, and "Launch monitoring" — to start right away
After launch, GEO Scout runs your prompts through the selected AI providers every day within your daily budget. Visibility, Share of Voice, and citation metrics refresh by the following morning
From day one, a historical dataset starts building: metric dynamics by day, week, and month; period comparisons; the measured effect of your site updates and external publications
This is the starting point of the full cycle for managing your brand visibility in AI. What follows: weekly reports, data-backed recommendations, an action plan across the site and external sources — all within one platform

Do not rush to optimize right after launch — give the system at least 3–5 days to accumulate data. More observations mean sharper signal about real patterns and weak spots, rather than random noise from one or two AI answers.

Try GEO Scout for free