The Platform
Inner Labs maps the observable answer graph: the prompts, entities, competitor narratives, citations, sources and recurring evidence patterns shaping AI answers — then helps your team improve them.
The new decision moment
Customers are not just searching. They are asking AI what to choose.
Customers may discover brands through social, search, retailers or reviews. But when they need a recommendation for their specific need, they increasingly ask AI to compare the evidence and make sense of the options.
Why competitors win
Stronger cushioning, durability and runner-review evidence across priority sources.
Priority action
Strengthen credible comparison, fit and performance evidence for priority running-shoe questions.
01
Competitive Decision Intelligence
"Being mentioned is not the same as being chosen. See exactly what happens when AI is asked to choose."
- Recommended, Mentioned and Missing outcomes in head-to-head comparisons
- The narratives and trade-offs driving the choice
- Exact cited sources shaping the answer
- Competitor evidence advantage
- Prioritised corrective actions and answer movement over time
Why AI leans towards Nike Pegasus
Stronger cushioning, durability and runner-review evidence across independent sources.
Adidas is positioned around value, lifestyle and design appeal.
Cited source categories
Strengthen credible comparison, fit and performance evidence for priority running-shoe questions.
02
AI Visibility Intelligence
"See whether and where your brand appears across AI platforms, prompts, topics and competitors."
- Visibility, position and share of voice across six AI systems
- Recommendation share versus named competitors
- Topic, prompt and decision-stage performance
- Persona-filtered views of the same landscape
- Movement and trends over time
Priority prompt set
Persona filter
Recommendation share by platform
Gap to Nike narrowed 4 pts · 30 days
03
Brand Positioning, Reputation & Brand Safety
"Understand the sentiment, narratives and trust signals shaping your brand."
- How AI describes the brand, analysed line by line
- Positive sentiment, strengths and recurring trust signals
- Watch-outs, reputation gaps and brand-safety flags
- Competitor framing and positioning contrast
- Narratives that influence consideration — beyond positive vs negative
"Nike is widely described as a trusted performance brand"
Positive sentiment · trusted performance brand"Customers consistently praise comfort and the product range"
Strength · comfort and range"Premium pricing is the most common hesitation"
Watch-out · premium pricing"Mixed after-sales and durability discussion in selected sources"
Reputation signal · after-sales discussionYour Brand gap
Limited credible performance and runner-review evidence for Your Brand.
Competitor framing
Adidas is more frequently associated with lifestyle appeal and value.
04
Citation & Source Intelligence
"See the sources shaping AI answers, page by page."
- Exact cited URLs with influence scores, not just domains
- Pages where competitors are mentioned but you are absent
- The most valuable citation gaps to close first
- Citation share by source, topic and competitor
- Source movement over time
AI answer
For everyday training, the Nike Pegasus is the safer pick — its cushioning and durability record is backed by deep independent runner-review coverage.
Recommends Nike Pegasus. Your Brand is absent.
Cited sources · influence
Running review publication · mentions Nike — not Your Brand
Brand product page · mentions Nike — not Your Brand
YouTube running-shoe review · mentions Nike & Adidas — not Your Brand
Runner community · mentions Adidas — not Your Brand
Marketplace reviews · mentions Nike — not Your Brand
Most valuable citation gap
Nike is cited across high-influence running-review and retailer sources where Your Brand is absent.
05
Demand & Prompt Intelligence
"The questions customers actually ask, built from topic, intent and persona — and scored by priority."
- Question sets built from topic, intent and persona
- Prompt clusters scored by demand and decision intent
- Must-win questions versus long-tail coverage
- Missing answers and competitive stakes
- Not keyword research — decision questions
Build the question set
Resulting question cluster · priority
Scored by demand and decision intent — the questions that decide the shortlist, not keyword volume.
06
Geography, Persona & Multilingual Intelligence
"The same question gets different answers by city, locality, pin code, persona and language. We track all of them."
- National, city, locality and pin-code measurement
- Persona-filtered AI answers
- English, Hindi and Hinglish question sets
- How the recommendation changes by audience and location
Selected query · "Best running shoes for beginners"
Drill-down
India→Karnataka→Bengaluru→560066
Persona
Language
AI platform
Karnataka — Nike recommended · Your Brand visible
Maharashtra — Nike and Adidas lead · Your Brand weak
Delhi NCR — Nike strongly recommended · Your Brand absent
Tamil Nadu — Your Brand gaining inclusion
Telangana — Adidas leads comparison answers
AI visibility is not uniform across India
Your Brand is included in Bengaluru beginner-running prompts but absent from comparable questions in Delhi NCR and Mumbai.
07For consumer & B2C product categories
Shopping & Product Intelligence
"See which products AI recommends, and why."
- Recommended, Mentioned and Missing SKUs in AI shopping answers
- Why products win: product information, reviews, retailer presence, availability and third-party evidence
- Competing products in the same shortlist
- Exact retailer, marketplace, review and publisher URLs influencing inclusion
- What your brand needs to improve product inclusion
Applies to consumer and B2C product categories — beauty, footwear, electronics, automotive and similar — wherever AI assembles a product shortlist.
"Which running shoes are best for flat feet in India?"
Nike
Pegasus 41
₹11,895
Cushioning leader · 4.7★ runner reviews
recommended
Adidas
Supernova Rise
₹10,999
Comfort and daily value
mentioned
ASICS
Gel-Kayano 31
₹13,999
Stability favourite · expert reviews
mentioned
Your Brand
Running shoe
₹7,999
Fit guidance missing
Not in shortlistSignals driving inclusion · Nike Pegasus 41
Cushioning
Fit guidance
Retailer availability
Expert reviews
Runner feedback
Product-page quality
Your Brand is absent from flat-feet recommendations. Improve fit guidance, cushioning specifications, retailer availability and independent runner-review evidence.
08 Beta
ChatGPT Ads Intelligence
"See the paid and organic AI decision together."
Monitor observed sponsored placements alongside organic AI answers — which competitors hold paid visibility, who wins the organic recommendation, and where the two overlap on high-intent prompts.
- Which high-intent questions show sponsored placements
- Which competitors or advertisers appear in paid placement
- Whether the same competitor also wins the organic recommendation
- Observed placement trends over time
Observed competitive intelligence only — this is not an ad-buying tool. Inner Labs does not claim that sponsored placements influence ChatGPT's organic answers.
"Best running shoes for beginners in India"
Organic AI answer
Nike Pegasus
Recommended
Observed sponsored placement
Adidas
Sponsored
Paid × organic overlap
Adidas holds the paid placement while Nike Pegasus wins the organic recommendation on this cluster.
Observed competitive intelligence only — sponsored placements are not claimed to influence organic answers.
Monitoring · Your Brand vs Nike Pegasus, Adidas Supernova · running shoes
New AI answer captured · 'best running shoes for beginners'
09:41New review source detected · runnerworld.com daily-trainer update
11:07Recommendation shift · Adidas gaining in marathon-training prompts
13:52Your Brand dropped from a flat-feet shortlist · Perplexity
15:26Flagged for review
Your Brand disappeared from a flat-feet shortlist on Perplexity. Suggested action queued in Action Centre.
Monitors and learns from configured brand, competitor, prompt, source and market data. Every movement is reviewed by your team.
09
An always-on research agent for your decision landscape.
The research agent continuously monitors your configured brands, competitors, topics, sources and answer changes. It detects new answers, source shifts and competitor movements — then flags the ones worth your team's review. It monitors and surfaces; your team decides.
10
Ask Your Data
"Ask Inner Labs data directly."
Ask questions in natural language against your Inner Labs data. Answers come back with the recommendation gap, the competitor's advantage, the important sources and the priority action — no dashboard digging.
"Why is Your Brand losing comparison prompts against Nike in Bengaluru?"
"Which URLs matter most for our marathon-training strategy?"
"What changed in AI answers this week?"
"Which flat-feet prompts are we missing from?"
Nike is recommended in 5 of 6 tracked comparison answers. Your Brand appears in 1.
Evidence gaps
Nike's runner-review and retailer evidence is far deeper
Your Brand is missing from 2 high-influence running sources
Flat-feet and marathon prompt clusters go unaddressed
Priority action
Build runner-review and retailer evidence for the priority comparison clusters, then re-measure in 14 days.
11
Action Centre
"From insight to an owned action plan."
Every finding becomes a prioritised action with an owner, a type and a reason — then it is tracked from identified, to in progress, to re-measured against the answer it was meant to move.
- P1 / P2 / P3 prioritisation by expected impact
- Action types: Content, Technical, Source, Community, PR
- Why it matters, on every action
- Owner and status tracking — Identified, In progress, Re-measure
- Re-measurement against the answer after the work ships
Improve product pages with fit, cushioning and use-case guidance
Re-measureStrengthen retailer and marketplace availability data
In progressBuild credible independent runner-review evidence
IdentifiedAddress Nike-versus-Your Brand comparison questions
IdentifiedImprove local-language beginner-running content
IdentifiedIntelligence becomes owned work — identified, in progress, then re-measured.
12
Agent Analytics
"AI systems do not agree. Win on Gemini, lose on Perplexity — and understand why."
- The same priority question measured across six AI systems
- Different recommendation patterns by platform
- Platform-specific citation and content opportunities
"Which running shoes are best for flat feet?" — Your Brand's outcome:
ChatGPT
mentionedGemini
recommendedClaude
missingPerplexity
missingCopilot
mentionedAI Overviews
mentionedInsight
Your Brand is visible in Gemini but missing from Perplexity comparison answers.
13
Executive Reporting
"A clean, senior-stakeholder view of what changed, what it means and what needs attention next."
- Recommendation outcome movement over time
- Competitor change and major citation or narrative shifts
- Priority actions completed
- Plain-English executive summary — not a busy dashboard
Executive summary
Your Brand gained inclusion in beginner-running prompts, but remains under-represented in flat-feet and marathon-comparison decisions where Nike leads.
Inner Labs is not a dashboard that reports the problem. It is the intelligence and execution layer that helps your team improve the evidence behind AI recommendations.