Key finding:
- FeedHeat is effectively invisible in both channels: 17 keywords / 82 visits per month, DR 0.7, zero AI impressions, and a single ChatGPT citation (one prompt, 70 searches/mo).
- Competitors are already established in AI answers — Brand24 (694K impressions/mo), GummySearch (479K) and Syften (130K) all appear where FeedHeat does not.
- Total addressable demand is modest but focused: 39K monthly searches, led by Reddit karma & accounts (17.8K/mo) and Reddit marketing (9.9K/mo).
- Note the DR/backlink mismatch: 37K backlinks from 461 referring domains at DR 0.7 — authority is not accruing from that link volume.
Content Opportunities
528
Relevant content ideas (excl. off-topic)
8
Relevant topical clusters
38,990
Relevant monthly search volume
| Content Cluster | Content Ideas | Monthly Search Volume |
|---|
| Reddit Karma & Accounts | 106 | 17,810 |
| Reddit Marketing & Promotion | 223 | 9,900 |
| Subreddit & Community Growth | 88 | 3,940 |
| Reddit SEO & Organic Traffic | 42 | 3,470 |
| Social Media Scheduling | 35 | 2,250 |
| Reddit Automation & Bots | 27 | 1,090 |
| Reddit Lead Generation | 6 | 520 |
| Social Listening & Monitoring | 1 | 10 |
| Off-topic / adjacent tools — excluded | 270 | 38,300 |
| Total (all) | 798 | 77,290 |
How this was built
- Seed keywords derived from feedheat.com site content, expanded via Google Ads Keyword Planner (798 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
| Brand | Domain Rating | Org. traffic/mo | Org. keywords | Keywords Top 3 | Ref. domains | Backlinks | Org. value/mo |
|---|
FeedHeat feedheat.com | | | | | | | |
GummySearch gummysearch.com | | | | | | | |
Brand24 brand24.com | | | | | | | |
Syften syften.com | | | | | | | |
F5Bot f5bot.com | | | | | | | |
👆 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
FeedHeat holds 0% AI share of voice — zero impressions across ChatGPT, AI Overviews and AI Mode, while comparable competitors accumulate 1.3M impressions/mo.
FeedHeat 0.0%GummySearch 36.7%Brand24 53.2%Syften 10.0%F5Bot 0.1%
AI Visibility — Brand Radar (impressions / month)
👆 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. GummySearch's 478K ChatGPT impressions come almost entirely from indexed subreddit pages, not marketing content — a reminder that in this category the cited asset is usually a genuinely useful public page. FeedHeat registers 0 AI impressions and is cited in exactly one tracked prompt (“What makes a good Reddit ad?”, 70 searches/mo) alongside Reddit's own properties — a foothold, not a presence. Given that the product sits in a trust-sensitive area (automated Reddit participation), the GEO strategy should lead with transparent, genuinely useful resources — subreddit research, posting-policy guides — that earn citation without triggering platform-integrity concerns.
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 step | Low | Healthy | Top | What moves it |
|---|
| Organic visit → Lead | 0.5–1% | 1.5–2.5% | 3–5% | Clear service pages, case studies, fast site, visible contact CTA |
| Lead → Sales-Qualified | 20–30% | 35–45% | 50–60% | ICP fit, fast follow-up, qualification, trust signals |
| SQL → Won | 10–18% | 20–30% | 30–40% | Proposal quality, expertise, security/compliance, references |
| Sales cycle | 1–3 mo | 3–6 mo | 6–12 mo | Longer for enterprise and regulated buyers |
| Avg. visits per page (peak) | — | 28 | — | ROI-model input. Ahrefs top-pages — trimmed mean of ranking pages. Median of GummySearch's non-programmatic pages; its subreddit index pages are excluded as non-commercial traffic |
| Customer value (LTV) | — | $1K | — | ROI-model input. Assumption — SMB growth-tool subscription. Replace with FeedHeat's real LTV. |
§2 GEO benchmark ranges
| GEO metric | Early | Healthy | AI-heavy | Notes |
|---|
| LLM traffic ratio | 0.01–0.04× | 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 rate | 30–50% | 45–65% | 50–70% | Service pages and how-to content rank best |
| Months to peak | 3–6 | 6–14 | 14–24 | Per published cohort |
| Brand traffic multiplier | 0.05–0.15× | 0.20–0.40× | 0.45–0.90× | Fixed at 3.5× brand-lift in the model |
ROI Forecast — package × period
Cumulative Revenue vs Cost
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 50%, LLM ratio 0.08, LLM conv ×2.0, visit→lead 1.5%, lead→won 6%, avg visits/page 28, brand amplification ×3.5)
- LTV $1K is an assumption and the dominant lever — Assumption — SMB growth-tool subscription. Replace with FeedHeat's real LTV.
- 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.
- Estimates on the stated inputs, not guarantees.