Your competitors are being cited in AI answers.
Find out which prompts, what it’s costing you, and exactly what to fix.
Every prompt you’re not cited in has a £ figure attached. Fix the most expensive one first.
Built for B2B SaaS teams whose CFO is already asking: what is AI visibility actually worth?
LLMin8 tells you what the gap is worth.
Reproducible tracking
3× replicates per prompt per engine. Confidence tiers — HIGH / MEDIUM / LOW — before any result surfaces. SHA-256 audit trail on every run.
- Visibility across all 5 AI engines simultaneously
- Prompt-level scores — no averages, no smoothing
- Competitor positions in the same run
Why you’re losing
Not a score delta. An explanation: which competitor LLM response displaced you, why the model preferred it, and the specific content gap that caused it.
- Why-I’m-Losing cards from the actual LLM response
- Prompts won and lost since last run, ranked by £ impact
- Competitor gain/loss per prompt, per engine
One action per gap
Every gap has a £ figure. Every £ figure has one action: the specific page, claim, or structure that closes it — generated from the actual competitor response.
- Every gap ranked by estimated £ revenue impact
- Citation Blueprint from competitor’s actual response
- One-click Verify: re-run after fixing, confirm it worked
The revenue figure doesn’t appear until two gates pass.
A placebo test — would any random content change have moved the number? — and a sufficiency check — is there enough signal to make a causal claim? If either fails, you get INSUFFICIENT. Not a false positive.
The model uses ITS (Interrupted Time Series) with Holt-Winters ensemble and walk-forward lag selection. Lag is tested before revenue data is seen. MDC v1. Published on Zenodo. Peer-reviewable.
Everything your team needs to go from invisible to measurable.
The four prompt types that shape B2B buying decisions.
A visibility score means nothing without a revenue number next to it.
Other tools track citations. LLMin8 connects every citation rate change to a pipeline figure, generates the fix from the actual competitor LLM response, and confirms whether it worked.
| Capability | LLMin8 | OtterlyAI | Peec AI | Profound AI | Ahrefs |
|---|---|---|---|---|---|
| Track LLM citations | ✓ | ✓ | ✓ | ✓ | ✓ |
| Google AI Search tracking | ✓ | ✗ | ✗ | ✗ | ✗ |
| Replicate-based confidence tiers | ✓ | ✗ | ✗ | ✗ | ✗ |
| Why-I’m-Losing analysis | ✓ | ✗ | ✗ | ✗ | ✗ |
| Causal revenue attribution | ✓ | ✗ | ✗ | ✗ | ✗ |
| £ impact per gap | ✓ | ✗ | ✗ | ✗ | ✗ |
| Fix generated from competitor response | ✓ | ✗ | ✗ | ✗ | ✗ |
| One-click verify loop | ✓ | ✗ | ✗ | ✗ | ✗ |
| Published methodology | ✓ | ✗ | ✗ | ✗ | ✗ |
| Starts from | £29/mo | $29/mo | €85/mo | Enterprise POA | Incl. in Ahrefs |
OtterlyAI and Peec AI are solid monitoring tools — clean reporting, well-suited for daily tracking. Profound AI is strong on compliance and enterprise coverage. Ahrefs Brand Radar is included in Ahrefs plans. None produce causal revenue attribution at any tier.
Every row is live in the product today. Run your first report in under 5 minutes.
View pricing →Start at £29. Scale when the ROI justifies it.
- 25 prompts
- 2 AI engines (ChatGPT + Claude)
- 1× replicates per prompt
- 20 runs per month
- Basic gap detection
- 250 prompts
- 5 engines incl. Google AI Search
- 3× replicates per prompt
- 250 runs per month
- Confidence tiers (HIGH / MEDIUM / LOW)
- Causal revenue attribution
- Why-I’m-Losing cards
- GA4 integration
- One-click Verify
- 2,000 prompts
- All supported engines
- 2,000 runs per month
- Unlimited verification runs
- API access
- White-label exports
- 10 workspaces
- Audit log exports
Enterprise (SSO/SAML, custom SLAs, private infrastructure) and Managed (GEO strategy + implementation) also available. See all plans →
GEO, AEO, LLMO, AI visibility — one question underneath every label.
Straight answers.
How is this different from SEO tools?
SEO tells you where you rank in search. It has no view of what AI says when your buyer asks “what’s the best tool for X”. That’s a completely different surface — and it’s where shortlists are now forming.
How do you calculate the revenue impact?
Using MDC v1 — ITS with Holt-Winters ensemble and walk-forward lag selection. The revenue figure doesn’t appear until a placebo test and a sufficiency gate both pass. If they don’t, you get INSUFFICIENT — not a false positive. Published on Zenodo.
How quickly can I get a first run?
Under 5 minutes. Connect your brand, confirm competitors and prompt clusters, and LLMin8 runs across all 5 AI platforms automatically. Results come back with scores, gaps, and a ranked action list with £ estimates.
What’s different about Growth vs Starter?
Starter gives you 2 engines and basic tracking — useful for validation. Growth adds Google AI Search, 3× replicates, full confidence tiers, causal revenue attribution, Why-I’m-Losing cards, and the verify loop. It’s the plan serious GEO programmes run on.
What is Google AI Search tracking?
LLMin8 detects whether Google AI answer experiences triggered, which domains were cited, whether your brand appeared, and where competitors are winning — across AI Overviews, AI Mode, and Organic AI Search. Growth and above.
Who is this built for?
B2B SaaS marketing teams, demand gen directors, RevOps leads, and founders who are already being asked by their CFO what AI visibility is actually worth.
Run your first report. You’ll either find out you’re winning — or find out what it’s worth to start.
First run takes under 5 minutes. You’ll see your score, your gaps, and a ranked list of what to fix — with a £ estimate on each one.
Your competitors’ citation rates are measurable right now. Yours too.