What your AI Visibility report looks like.
Every prospect who submits gets a personalised version of this dashboard. 5 charts. Customer-style queries run via Claude + live web search (a proxy for ChatGPT, Gemini, Perplexity). Sector-specific recommendations. Delivered within 24 hours.
Sample SA industrial firm — bottom quartile on AI visibility.
For a typical SA industrial firm, AI engine visibility usually starts in the bottom quartile — even when Google rankings are reasonable. Three high-impact fixes typically move firms to the top quartile within 60 days. (Score is directional, not deterministic.)
The score above represents AI engine visibility specifically — NOT Google rankings. A sample firm can rank well on Google Maps and still score low here. Your real report covers both systems with YOUR actual data.
Google rankings ≠ AI engine rankings — they're different games.
You might rank well on Google Maps for "[your service] near me" and STILL be invisible when someone asks ChatGPT or Claude the same question. Different systems, different signals, different weightings.
- · GBP completeness + reviews
- · NAP consistency (proximity matters)
- · On-page SEO + backlinks
- · Site speed + mobile responsiveness
- · Trusted citations (Wikipedia, news, industry pubs)
- · Schema markup AI can parse
- · LinkedIn presence (especially Perplexity)
- · Verbatim quotability (FAQ-style content)
The signals overlap (citations, NAP, schema all matter for both) — but the WEIGHTING is different. AI visibility is the next layer on top of solid local SEO, not a replacement.
See for yourself.
Below are real customer-style queries we run via Claude with live web search — a proxy for what ChatGPT, Gemini, and Perplexity surface from public web data. Notice who's in the answer — and who isn't.
web_search — a proxy for how ChatGPT, Gemini, and Perplexity blend a model with public web retrieval. Native per-engine adapters ship in Phase 1.5. The signal is reliable directionally; per-engine breakdown gets more precise next iteration.These responses are illustrative — drawn from typical SA industrial patterns. Your real report shows the actual verbatim responses for YOUR specific queries using the same Claude+web_search proxy. Native ChatGPT, Gemini, and Perplexity adapters land in Phase 1.5.
Where your visibility is strong vs weak
Across the 4 score layers (Presence / Authority / Consistency / Content)
Likely cited / not cited
Claude+web_search proxy · stand-in for ChatGPT, Gemini, Perplexity
web_search as a proxy for ChatGPT, Gemini, and Perplexity (all of which blend a model with web retrieval in their answers). Native per-engine adapters land Phase 1.5. Use the "Likely cited" signal as directional, not deterministic.You vs the competitors AI is recommending
Your real report names the actual competitors AI cites instead of you.
What needs fixing
3 issues identified in this sample
Highest-leverage fixes ranked
- 1
Register on CSD (Central Supplier Database)
Essential for SOE/government work. Procurement portals cross-reference CSD.
Impact: highEffort: low - 2
Add BBBEE Level to GBP description + homepage hero + schema
Direct match for procurement queries. Single biggest visibility lever.
Impact: highEffort: low - 3
Submit listing to Engineering News + Mining Weekly directories
Sector-specific high-trust citations AI engines harvest for industrial queries.
Impact: highEffort: medium
Names that surfaced in our test queriesSample competitor mentions (3)
Click to expand · verify these match your actual competitive set
+
Sample competitor mentions (3)
Click to expand · verify these match your actual competitive set
- Integrate Lifting SASurfaced in 3 of 4 test queries · ~32 citation domains we identified
- Elephant Lifting EquipmentSurfaced in 3 of 4 test queries · ~28 citation domains we identified
- RGM CranesSurfaced in 2 of 4 test queries · ~21 citation domains we identified
How this scan works (and what it doesn't do).
- · Website reachability (HEAD request)
- · JSON-LD schema present + types declared
- · Citation domains surfaced via web search
- · Verbatim language used by AI when it answers
- · GBP existence (no Google Maps API yet)
- · NAP consistency across listings
- · Competitor list (whoever appears in search)
- · "What ChatGPT/Gemini/Perplexity say" — we use Claude + live web search as a proxy for these engines, not direct API calls
Score is directional — a readiness signal, not a deterministic measurement. Re-runs against the same business may vary 5-10 points because live web search is non-deterministic. Treat the score as a tier indicator (low / mid / high), not a precise ranking. Native ChatGPT, Gemini, and Perplexity adapters are planned for Phase 1.5 (Q3 2026).
When AI recommends competitors, those leads go to them.
For a typical SA industrial business with average customer value around R180,000, even 1-4 missed inquiries per month adds up to:
Math: 1-4 missed inquiries/month × 12 × 5% close rate × R180,000 typical customer value. Conservative — most firms underestimate close rate from warm AI-driven leads.
This gap compounds — every month you wait, competitors widen the lead.
AI engines weight RECENCY and CONSISTENCY. Competitors who fix this in 60 days build a 6-month lead by year-end — citations get older + more trusted, content compounds, AI training cycles bake in their authority. Catching up later costs 2-3× what fixing it now does.
AI engines build their answer from your local signals.
ChatGPT, Claude, Gemini and Perplexity don't just read your website. They cross-reference your Google Business Profile, your reviews across HelloPeter + Google, your trusted directory listings, and your NAP consistency (Name + Address + Phone identical everywhere).
Weak in any one of these = AI engines don't recommend you.
From "I want to fix this" to your first AI citations.
- 01
We review your scan + your business
Free 15-min walkthrough call (or async by email). We confirm what the scan revealed, ask a few targeted questions, and align on what 'success in 90 days' looks like for YOUR business.
- 02
We prioritise the highest-impact fixes first
Based on real audits of SA businesses (industrial, medical, legal), we know which fixes move AI engines fastest. Schema + GBP + key citations usually compound within 30-60 days.
- 03
We implement (or guide your team)
We deploy the work directly, or hand your team a step-by-step playbook. Status updates every 3 days. Re-scan at 30 days shows before/after data.
We focus on high-impact fixes first — most likely to improve visibility within 30-60 days.
Based on real audits of South African businesses across industrial, medical, and legal sectors. Not generic AI theory — patterns from actual implementations. We can't promise specific outcomes (no honest consultant can), but we can promise the methodology + the cadence + complete transparency about what's working.
Do you want to fix this?
You've seen what AI engines say (or don't say) about businesses like A Sample Business. Here's what you can do right now.
Most prospects start with a 15-min walkthrough. If you're ready to get going, hit the primary button. Either way — your full report still arrives within 24 hours.
Haven't submitted yet? Get your personalised version of this dashboard.