AI Discovery Intelligence
AI is where customers increasingly form opinions before they visit your website. Inner Labs helps brands measure and improve how they appear across the AI systems customers use to discover, compare and choose.
"I'm looking to buy an SUV in India under ₹70 lakh. Which car should I consider?"
BMW X3
Strong safety scores, resale value and service network cited
Audi Q5
Comfort and interior quality cited across reviews
Volvo XC60
Safety reputation noted; service reach questioned
Lexus NX
Reliability and hybrid efficiency cited; fewer performance mentions
Your Brand
Absent from the comparison entirely
Inner Labs · Why BMW X3 leads this answer
Gap found: no credible ownership-cost or service-network evidence for Your Brand on priority sources. One action queued in Action Centre.
Trusted by teams building for AI-led discovery
Reliance
Area 83
The AI decision layer
Discovery happens everywhere. AI increasingly decides the shortlist.
Customers may discover brands on Instagram, YouTube, Google, marketplaces, reviews or through friends. But when they need to choose, they increasingly ask AI to compare the options.
AI weighs the available evidence, explains trade-offs and recommends the brands, products or providers it believes are strongest.
If AI recommends your competitor at that moment, your brand may never make the real shortlist.
Discovery channels
AI comparison
AI recommendation
Inner Labs measures and improves the evidence
Competitive Decision Intelligence
Being mentioned is not the same as being chosen.
When customers ask AI "Godrej, Prestige or Sobha — which developer is suitable for property investment?", Inner Labs shows who AI recommends, who it merely mentions, why the answer leans that way, which sources shape it and what your brand needs to improve.
See the recommendation outcome, the evidence behind it and the action required to improve it.
"Which developer is suitable for property investment: Godrej, Prestige, or Sobha?"
Cited for delivery record, RERA project information and resale narratives
Third-party coverage and locality research cited
Owner discussions noted; resale narratives thinner
Absent from the comparison despite active projects
Cited sources shaping this answer
rera.karnataka.gov.in · project registration records
livemint.com · Bengaluru developer comparison
reddit.com/r/bangalore · owner experiences thread
Corrective action: strengthen credible after-possession and resale evidence on the two sources AI cites most.
How it works
From the question customers ask to the answer they act on.
Map the decisions that matter
Configure the questions, competitors, products, markets, personas and languages that shape your category.
See what AI recommends and why
Track how AI describes, compares and recommends brands. Trace the sources, narratives and evidence gaps behind every answer.
Improve the evidence behind the answer
Turn gaps into prioritised content, product-information, citation, publisher and responsible community actions.
Re-measure what changed
Track answer movement and whether recommendation outcomes improve over time.
"Not just a dashboard. A continuous intelligence and execution loop for AI-led discovery."
Explore the platformIn your category
See the AI decision layer in your category.
The same AI systems are shaping decisions across categories. Inner Labs configures the intelligence layer around the questions, competitors, products, locations and buyer personas that matter to your business.
"What are the best running shoes in India for daily training under ₹10,000?"
Nike
Pegasus 41
₹9,995 – ₹11,500
In stock · 4 retailers
ASICS
Gel-Cumulus 26
₹8,999 – ₹10,499
In stock · 3 retailers
Adidas
Supernova Rise
₹9,499 – ₹10,999
In stock · 2 retailers
Your brand
Flagship daily trainer
₹7,999 – ₹8,999
In stock · 5 retailers
Source intelligence
- Product pages
- Retailer listings
- Independent reviews
- YouTube reviews
- Publications
The gap
Your flagship SKU is missing because product information, retailer listings and independent review evidence are weak in the sources shaping the answer.
Action Centre
- P1Complete product pages and structured information for priority SKUs
- P2Improve retailer and marketplace availability signals
- P3Build credible independent and YouTube review evidence
- P4Address priority 'best of' and comparison questions
Same intelligence layer. Configured around the decisions your customers actually make.
Why Inner Labs
Most platforms tell you the problem. We help close it.
We improve the public evidence, relevance and trust signals that inform AI-generated answers. We never claim to manipulate AI systems or control their outputs.
Other platforms
- Track mentions
- Report rankings
- Export dashboards
You are left holding a report — and the problem.
Inner Labs
- Measures the AI decision journey, not just mentions
- Explains sources, narratives and evidence behind each answer
- Identifies the highest-value opportunity
- Supports content, third-party evidence and responsible community execution
- Re-measures whether recommendation outcomes improve
Intelligence and execution in one loop — with the outcome re-measured.
Evidence
Selected work across AI-led discovery
A selection of work across high-consideration categories. Detailed case studies and live category findings are shared during a working session.
Begin
See how AI is shaping your brand's next decision.
Bring us your brand, competitors and category. We will show you the questions that matter and how AI currently answers them.