AI Recommendation Analysis Process
Market context snapshot
Buyer intent layers
Outputs analysed for
- Competitor patterns
- Buyer-stage presence
- Discovery gaps
- Source and evidence support
- Category and positioning patterns
- Commercial interpretation
Who are the best providers for this?
Which companies should I shortlist?
How do these providers compare on features, price and fit?
Which provider is best for my situation?
Why should I choose one company over another?
What are the top alternatives?
who gets recommended
where your company appears
where competitors dominate
where you are missing
what patterns may explain the difference
The Process
Buyer asks AI who to consider
A buyer explores the market before reaching your website or knowing which companies to search for.
AI introduces a limited set of companies
The answer may name, compare and recommend only a small number of providers.
Answer Index examines who entered the buyer’s view
We identify who was introduced, merely mentioned, put forward or left out.
Recurring patterns become commercial intelligence
We interpret what the repeated evidence may mean for discovery, consideration and competitive position.
This context matters because AI may understand the same company differently across categories, buyers, markets and use cases.
A business may be well known in one context but effectively invisible in another.
That includes:
✓what your company does
✓who your buyers are
✓which category buyers compare you in
✓which competitors you commonly lose to
✓which alternatives buyers may consider
✓which geography or market matters
✓which buying situations are commercially important
This matters because AI systems do not always understand markets the way companies describe themselves.
A company may see itself one way. Buyers may compare it another way. AI systems may interpret the category differently again. Answer Index helps surface that difference.
Market Context Snapshot
We analyse the questions buyers may ask as they explore the market, identify credible providers, build a shortlist and compare final options.
| Layer | What It Tests | Why It Matters |
|---|---|---|
|
Discovery
|
How AI systems understand and describe your market | Shows whether your company appears in broad market exploration |
|
Shortlist
|
Which companies AI systems recommend buyers consider | Shows whether you are included when buyers ask who to evaluate |
|
Comparison
|
How AI systems compare providers and alternatives | Shows whether you appear when buyers are closer to decision |
Buyer Intent Layer Analysis
Discovery
Understand the market
Example Prompts
- What are the best project management tools?
- What is project management software used for?
Commercial Read
Shows whether AI introduces your company when the buyer first begins exploring the market—or leaves it invisible.
Shortlist
Identify options
Example Prompts
- Which project management tools should I shortlist?
- What are the top project management platforms?
Commercial Read
Shows whether your company is put forward as a credible choice, merely mentioned or excluded when buyers narrow their options.
Comparison
Compare and decide
Example Prompts
- Asana vs Monday.com vs ClickUp — which is best?
- Which tool is best for marketing agencies?
Commercial Read
Shows whether your company remains present when AI compares the final providers and explains which appears most suitable.
We examine which competitors are repeatedly introduced, explained and put forward—and where your company is absent, weakly presented or replaced.
We analyse:
✓which competitors are introduced most often
✓which competitors are repeatedly put forward as credible choices
✓which competitors remain present from exploration through comparison
✓which companies are connected to specific buyer needs
✓where your company is merely mentioned or missing
✓where another company appears instead
✓whether the buyer would have any reason to search for your company after reading the answer
This is where the commercial risk becomes visible.
The issue is not simply whether competitors appear. It is whether they are introduced to the buyer while your company remains outside the buyer’s field of view.
Buyer Intent Layer Analysis
Discovery
Understand the market
Example Prompts
- What are the best project management tools?
- What is project management software used for?
Commercial Read
Measures early visibility in broad, market exploration questions.
Shortlist
Identify options
Example Prompts
- Which project management tools should I shortlist?
- What are the top project management platforms?
Commercial Read
Measures inclusion when buyers ask who they should consider and evaluate.
Comparison
Compare and decide
Example Prompts
- Asana vs Monday.com vs ClickUp - which is best?
- Which tool is best for marketing agencies?
Commercial Read
Measures presence in final decision-stage comparisons and evaluations.
We examine which sources, proof points and external signals repeatedly appear alongside the companies AI introduces and recommends.
Citations are one evidence source, but they are not the commercial outcome.
The analysis looks more broadly at the recurring support that may make a competitor easier for AI to understand, explain and put forward.
This helps show whether competitors have stronger visible evidence across reviews, comparison sources, industry coverage, case studies, company websites and other trusted sources.
It may also help explain why buyers are shown those companies before they are ever given a reason to look for yours.
Source & Signal Influence
| Source Type | Example Sources | Influence Strength | Commercial Read |
|---|---|---|---|
|
Comparison Sites
|
G2, Capterra, GetApp | ★★★★☆ | Major driver of shortlist and comparison answers |
|
Review Platforms
|
Trustpilot, Software Advice | ★★★★☆ | Strong influence on perceived popularity and trust |
|
Industry Lists & Guides
|
PCMag, TechRadar, Forbes | ★★★☆☆ | Frequently cited in discovery and shortlist prompts |
|
Company Websites
|
Vendor sites, pricing, feature pages | ★★★☆☆ | Support clarity but lower independent influence |
|
News & Media
|
TechCrunch, Business Insider | ★★☆☆☆ | Influence spikes around announcements |
We examine how AI describes the company, its competitors and the category itself.
That language may influence whether the company is recognised as relevant, placed correctly in the market and introduced when a buyer asks who to consider.
Answer Index looks for patterns such as:
✓which problems competitors are associated with
✓which buyer needs they appear to solve
✓which industries and use cases they are connected to
✓which category language AI repeats
✓whether the company is clearly differentiated
✓whether the company is understood well enough to be introduced at all
This helps identify whether competitors have a clearer category position, more consistent market language or stronger reasons for AI to explain why they belong in the answer.
Recommendation Pattern Analysis
Common Themes
Category Language
- “Best for teams that need...”
- “Ideal for agencies and...”
- “Great alternative to...”
- “More intuitive than...”
- “Better suited for...”
Why Your Company May Not Be Coming Through
- Limited independent reviews
- Lower presence in comparison content
- Weaker association with key use cases
- Less consistent category language around your brand
Scores and charts make patterns easier to see, but they are not the product.
The value lies in interpreting what those recurring patterns may mean for whether the company is discovered, considered and put forward.
Answer Index translates buyer-stage presence, competitor frequency, source support, category clarity, proof and positioning patterns into a clearer commercial diagnosis.
Executive Summary
Key Insight
Your company may be visible in some buyer answers but weakly supported when buyers ask who to consider.
Competitors appear more frequently, remain present across later buying stages and receive stronger recurring support.
This may mean buyers are being introduced to competitors without being given a clear reason to search for your company.
Diagnostic Direction
- ✓ Strengthen the evidence supporting the company’s relevance
- ✓ Clarify category and buyer-fit language
- ✓ Improve external proof and source support
- ✓ Address the buyer stages where the company disappears
- ✓ Establish clearer reasons for AI to introduce and put the company forward
You receive a commercial report, not a spreadsheet of prompts.
The final output is designed for leadership teams that need clarity about whether buyers are being introduced to the company, where competitors are put forward instead and what recurring patterns may be shaping the difference.
The analysis explains:
✓whether AI introduces the company to buyers
✓where the company is merely mentioned, weakly presented or missing
✓at which buyer stage the company disappears
✓which source, evidence, proof and positioning patterns recur
✓where competitors appear to replace the company
✓what the findings may mean commercially
✓what needs closer examination before action is chosen
The analysis is written to support informed decision-making.
It does not prescribe a generic tactical response.
What we do not do
- × Sell generic SEO audits
- × Generate content plans as the core offer
- × Promise guaranteed AI recommendations
- × Claim absolute causation
- × Track every brand mention daily
- × Expose raw prompt lists as the main value
- × Turn the analysis into a dashboard
- × Replace commercial interpretation with scores
What we do instead
- ✓ Analyse recurring recommendation patterns
- ✓ Examine who AI introduces and puts forward
- ✓ Identify where the company disappears
- ✓ Interpret source, evidence and positioning signals
- ✓ Compare buyer-stage presence across competitors
- ✓ Provide commercial interpretation
- ✓ Support decision-making before action
Pattern-based method
Intake form includes:
Are buyers discovering your competitors without ever finding your company?
Answer Index examines whether AI gives buyers a reason to discover your company before they ever reach your website.