alteg.io · Service-business management & online booking SaaS · International SEO focus: PL / CZ / DE / ES + LatAm
2026-07-05 · prepared by ESA Digital · International SEO audit
Key finding:
Altegio carries marketplace-grade authority (DR 80, 512K live backlinks, 2.6K referring domains — largely from its booking widgets) but ranks for only 222 organic keywords (~7.4K visits/mo), and ~78% of that traffic sits in Ukraine.
In the priority markets the site is essentially invisible: Poland 49, Spain 51, Czechia 27, Germany 0 organic visits/mo.
Booksy captures 1.23M organic visits/mo in Poland alone; Reservio (DR 87 — same authority tier as Altegio) converts it into 70K visits/mo.
The authority is already in place — the missing layer is local-language commercial content. The collected B2B keyword pool (17.4K searches/mo across 5 language markets) is modest but high-intent, exactly the "narrow but converting" queries the brief prioritises.
Content Opportunities
Keywords and clusters below were collected automatically (Google Keyword Planner + automated clustering) and may contain inaccuracies — search volumes and topical groupings are estimates and should be validated before acting on them.
Seed keywords: built from the client brief (vertical B2B queries per priority vertical; generic "CRM" and classic-gym terms excluded per brief)Google Keyword Planner — five language batches: EN (geo PL+CZ+DE+ES) · PL (Poland) · CS (Czechia) · DE (Germany) · ES (Spain + AR/MX/CL)
974 keyword ideas across 20 clusters; by language market: EN 725 ideas / 9,920 vol · ES 128 / 4,800 · PL 63 / 1,470 · DE 37 / 1,160 · CS 21 / 230
Czech local-language demand is tiny (230 vol) — supports the brief's "validate demand first" stance for CZ; Spanish is the largest local-language pool (Spain + LatAm); the Polish auto-repair cluster is unusually strong ("program do warsztatu samochodowego", 110/mo)
EN volumes are aggregated across the four EU geos, so a keyword's EN and local-language rows can overlap in one country — treat totals as directional estimates
👆 Click a brand row → detailed SEO dashboard (DR, backlinks, top markets).
Key findings:
Booksy and Fresha are marketplaces: most of their organic traffic is end-consumer (B2C) demand for salons, which inflates their totals but leaves the commercial B2B queries contestable — exactly the gap named in the brief
Reservio proves the model Altegio should copy first: comparable DR (87 vs 80) converted into 70K visits/mo via local-language SaaS landing pages (CZ/FR/ES/IT/BR)
Phorest — the closest pure-B2B SaaS peer — shows Altegio-like traffic scale (9.9K/mo) but with a strong footprint in DE (1.1K/mo, its 3rd market)
AI Visibility — Brand Radar (impressions / month)
AI Share of Voice — all five brands: Altegio ≈0.003%(among comparable, excl. off-scale Booksy: ≈0.02%)
👆 Click a brand row → popup with the AI citations (ChatGPT prompts whose answers cite that brand's domain: prompt · volume/mo · co-cited domains). The same opens via the "AI citations" link. Bars normalized to the real maximum excluding off-scale rows (Fresha per platform). *Booksy is off-scale: its impressions are dominated by end-consumer beauty prompts (pedicure prices, hair styles) captured by the marketplace brand — real, but not the B2B software-selection conversation. Snapshot 2026-07-05.
GEO / AI visibility. Altegio is effectively absent from AI answers: 514 impressions/mo total and just 1 meaningful ChatGPT citation (a Google-Calendar support article — not a commercial prompt). Reservio has zero citations despite 70K organic visits — proof that classic SEO alone does not buy AI visibility. The marketplaces dominate volume through B2C prompts, but Phorest shows the actual playbook for a B2B SaaS: it is cited in software-selection prompts ("Is Phorest a CRM?", "best salon booking app", "best software for spa"). Those same prompt families — per vertical and per language — are open white space: the first vendor to publish citable, structured comparison and vertical-CRM content wins them.
ROI Forecast — package × period
Package
Period
Cumulative Revenue vs Cost
Traffic Growth
New Paid Subscriptions
Cumulative ROI
Model = ESA ROI Calculator (cohort ramp → brand/LLM channels → funnel → cumulative ROI), recast for a B2B SaaS subscription funnel: Visit → Free-trial signup → Paid subscription
Behavioural assumptions held at the Healthy tier of the benchmark tables below (months-to-peak 8, success 55%, LLM ratio 0.08, LLM conv ×2.5, visit→trial 2.5%, trial→paid 18%, avg visits/page 35, brand amplification ×0.8)
LTV $2,400 is an assumption (≈$100/mo ARPA × ~24-month retention) — the dominant lever; replace with Altegio's real per-market ARPA and churn
Estimates, not guarantees
Funnel & GEO Benchmarks — B2B SaaS for service businesses (EU)
Framework adapted from the ESA "ROI Predictions (GEO/SEO)" template. The original models a consumer freemium funnel; here it is re-cast for a B2B SMB SaaS funnel — Organic visit → Free-trial signup → Paid subscription (Altegio runs a 7-day trial, no credit card). Below are the reference benchmark ranges for that funnel and for GEO/AI — adapted B2B SaaS figures (Low / Healthy / Top). Sources align with the template (Ahrefs, Semrush, FirstPageSage, OpenView, RevenueCat, Seer Interactive, etc.).
1 · Conversion benchmarks (SMB SaaS, organic)
Funnel step
Low
Healthy
Top
Key factors
Visit → Free-trial signup
1–2%
2.5–4%
5–8%
vertical landing pages in the local language, visible trial CTA, localized pricing, social proof from the same vertical
Trial → Paid subscription
10–15%
18–25%
30–40%
time-to-value inside the trial, onboarding for the vertical, data import from the old system, local-language support
Sales cycle
0–1 mo
1–2 mo
2–4 mo
self-serve for singles; longer for chains & franchises (ICP 2) with demos and migration
Avg. visits per page (peak)
—
35
—
ROI-model input. Reflects the narrow-but-converting keyword pool (17.4K vol / 960 ideas)
Customer value (LTV)
—
$2,400
—
ROI-model input. Assumption ≈ $100/mo ARPA × 24-mo retention; replace with real per-market ARPA/churn
2 · GEO benchmark ranges (adapted to B2B SaaS)
LLM ratio band
Ratio
Early AI adoption
0.01–0.04×
Healthy GEO presence
0.05–0.12×
AI-heavy niche
0.15–0.30×
LLM conversion boost
vs organic
ChatGPT traffic
+400–700%
Perplexity
+300–500%
Gemini / AI Overviews
+50–120%
Content success rate (by type)
Success
Vertical solution pages ("software for salons")
45–65%
"<Competitor> alternative" pages
40–60%
Local-language how-to / tutorials
50–70%
Case studies / vertical guides
35–55%
Top-funnel education (booking, retention)
30–50%
Months to peak / Brand lift
Range
First traffic
3–6 mo
Growth
6–14 mo
Peak
14–24 mo
Brand lift — LLM visibility
+25–55%
Brand traffic multiplier (strong)
0.45–0.90×
Prepared by ESA Digital for alteg.io.
Content Opportunities: Google Keyword Planner (brief-derived seeds; EN/PL/CS/DE/ES; geos PL·CZ·DE·ES·AR·MX·CL)
Competitive Landscape: Ahrefs Site Explorer (ahrefs-data-full)
AI visibility: Ahrefs Brand Radar impressions (ahrefs-brand-radar, multi-brand) + AI citations (ahrefs-ai-citations)
Competitors per client brief (Booksy, Fresha, Reservio) + Phorest added as the closest pure-B2B SaaS peer