SEO & Competitive Report — SpeakNode

speaknode.com · Managed AI voice agents for inbound calls · US / UK / CA
2026-08-06 · prepared by ESA Digital · Pre-sale SEO & GEO audit
Key finding:

Content Opportunities

1,684
Relevant content ideas (excl. off-topic)
8
Relevant topical clusters
370,740
Relevant monthly search volume
Content ClusterContent IdeasMonthly Search Volume
Appointment Scheduling & Booking1,364281,320
AI Receptionist & Answering Service22266,750
Industry Solutions139,220
Call Handling & Phone Systems588,350
AI Voice Agents53,110
Small Business Phone Solutions171,510
Outbound & Sales Calling4410
Lead Qualification & CRM170
Off-topic / adjacent tools — excluded15591,620
Total (all)1,839462,360
How this was built
  • Seed keywords derived from speaknode.com site content, expanded via Google Ads Keyword Planner (1,839 keyword ideas) for the client's live traffic geographies.
  • Clustered by search intent; every keyword sits in exactly one cluster.
  • The off-topic row is excluded from the three headline figures — it holds adjacent-tool and generic queries the Planner returns but that carry no purchase intent for this product.
  • 👆 Click any cluster row to see its top keywords by volume.

Competitive Landscape (Ahrefs)

Organic SEO — Ahrefs Site Explorer

BrandDomain RatingOrg. traffic/moOrg. keywordsKeywords Top 3Ref. domainsBacklinksOrg. value/mo
SpeakNode
speaknode.com
12
0
0
0
402
75.2K
$0
Goodcall
goodcall.com
70
40.2K
11.4K
6.5K
5.6K
113.5K
$32K
Retell AI
retellai.com
76
46.2K
1.6K
754
3.9K
41.9K
$133K
Synthflow
synthflow.ai
73
11.2K
292
115
5.0K
40.9K
$56K
Smith.ai
smith.ai
74
10.6K
826
294
3.7K
32.1K
$58K
👆 Click a brand row → per-brand SEO dashboard (authority, backlinks, top markets). Bars are normalized per column. Snapshot 2026-08-06.

AI Share of Voice

SpeakNode holds 0% AI share of voice — zero impressions across ChatGPT, AI Overviews and AI Mode, while comparable competitors accumulate 220.1K impressions/mo.
SpeakNode 0.0%Goodcall 1.3%Retell AI 23.9%Synthflow 53.4%Smith.ai 21.4%

AI Visibility — Brand Radar (impressions / month)

Brand● ChatGPT◆ Google AI Overviews◇ Google AI ModeTotal
SpeakNode
speaknode.com
AI citations →
0
0
0
0
Goodcall
goodcall.com
AI citations →
1.6K
720
650
3.0K
Retell AI
retellai.com
AI citations →
35.1K
10.6K
6.7K
52.5K
Synthflow
synthflow.ai
AI citations →
15.4K
94.9K
7.3K
117.6K
Smith.ai
smith.ai
AI citations →
17.7K
21.7K
7.6K
47.0K
👆 Click a brand row → popup with its AI citations (ChatGPT prompts whose answers cite that domain: prompt · volume/mo · co-cited domains). Brand Radar matches brand names, not domains, so common-word brands are flagged and excluded from the scale. Snapshot 2026-08-06.
GEO / AI visibility. This is a greenfield GEO position: SpeakNode is absent from AI answers, but so is most of the category's mid-tier — Goodcall registers only 2.9K impressions despite 40K organic visits, because its traffic comes from area-code directory pages rather than content buyers cite. Synthflow leads on AI Overviews (94.9K) largely through third-party review coverage rather than owned content. Because buyers of AI receptionists increasingly open with a conversational query, being the cited answer to “best AI receptionist for dental practices” is worth more than a mid-page ranking — and no incumbent owns that position yet.

Funnel & GEO Benchmarks — B2B SaaS

Reference ranges for a B2B funnel — Organic visit → Lead → Sales-Qualified → Won — adapted from ESA's benchmark set (Ahrefs, Semrush, FirstPageSage, OpenView, Seer Interactive). Rows marked ROI-model input feed the forecast below.

§1 Conversion benchmarks

Funnel stepLowHealthyTopWhat moves it
Organic visit → Lead0.5–1%1.5–2.5%3–5%Clear service pages, case studies, fast site, visible contact CTA
Lead → Sales-Qualified20–30%35–45%50–60%ICP fit, fast follow-up, qualification, trust signals
SQL → Won10–18%20–30%30–40%Proposal quality, expertise, security/compliance, references
Sales cycle1–3 mo3–6 mo6–12 moLonger for enterprise and regulated buyers
Avg. visits per page (peak)150ROI-model input. Ahrefs top-pages — trimmed mean of ranking pages. Median of Goodcall's non-programmatic pages — its area-code directory pages are excluded as they attract reference traffic, not buyers
Customer value (LTV)$6KROI-model input. Assumption — $500/mo managed service held ~12 months. Replace with SpeakNode's real ACV.

§2 GEO benchmark ranges

GEO metricEarlyHealthyAI-heavyNotes
LLM traffic ratio0.01–0.04×0.05–0.12×0.15–0.30×LLM referrals as a multiple of organic
LLM conversion boost+50–120%+300–500%+400–700%ChatGPT highest; AI Overviews lowest
Content success rate30–50%45–65%50–70%Service pages and how-to content rank best
Months to peak3–66–1414–24Per published cohort
Brand traffic multiplier0.05–0.15×0.20–0.40×0.45–0.90×Fixed at 3.5× brand-lift in the model

ROI Forecast — package × period

Package
Period

Cumulative Revenue vs Cost

Traffic Growth

New Paid Customers

Cumulative ROI

Model = ESA ROI Calculator (cohort ramp → brand/LLM channels → funnel → cumulative ROI)
  • Package sets pages/mo & monthly cost: Start 10/$5.5K · Growth 25/$10.95K · Scale 40/$15.5K
  • Behavioural assumptions held at the Healthy tier of the benchmark tables above (months-to-peak 12, success 55%, LLM ratio 0.08, LLM conv ×2.0, visit→lead 1.0%, lead→won 8%, avg visits/page 150, brand amplification ×3.5)
  • LTV $6K is an assumption and the dominant lever — Assumption — $500/mo managed service held ~12 months. Replace with SpeakNode's real ACV.
  • Brand amplification is fixed at ×3.5 per the ESA calculator reference. Combined with the assumed LTV it is what drives the headline figures: the model multiplies earned organic traffic by ~4.5× across brand and LLM channels before the funnel is applied. Treat the absolute revenue as an upper-bound scenario, and the shape (break-even month, package ranking) as the usable output.
  • This domain starts from zero organic traffic, so every figure here is a modelled projection with no observed baseline to calibrate against — the widest uncertainty band of any input. Estimates on the stated inputs, not guarantees.
Prepared by ESA Digital · snapshot 2026-08-06