AI ANSWER INTELLIGENCE

Buyers may never reach your website if AI recommends your competitors first.

When buyers ask AI who to consider, the answer may become their first view of the market.

Unlike a traditional search-results page, AI may present only a small number of companies as credible choices. If your company is missing, the buyer may have no reason to search for your website—or even know that you exist.

Being visible is not the same as being chosen.

Answer Index shows who AI puts forward, where your company is merely mentioned or missing, and what recurring source, proof, category and positioning patterns may be shaping those answers.

A fixed-scope commercial diagnostic showing whether AI gives buyers a reason to discover and consider your company.

Example pages from the AI Recommendation Analysis
 

Developed by analysing how AI introduces buyers to real companies and competitive markets.

Answer Index has been developed through structured commercial analysis—not technical prompt testing or generic visibility scans—focused on which companies buyers are shown, which are put forward and which may never enter consideration.

BEYOND AI VISIBILITY

Being visible is not the same as being chosen.

 

Most AI visibility tools tell you whether your company appeared in an AI-generated answer.

That matters, but appearing does not mean the buyer was given a reason to understand, trust or investigate your company.

Answer Index looks beyond the mention. It examines whether your company is absent, merely mentioned, seriously considered or actively put forward.

Absent → Mentioned → Considered → Recommended

It also examines which competitors are repeatedly recommended and what recurring evidence, source, category and positioning patterns may be supporting them.

AI may know your company without having enough clear evidence to put it forward—or give the buyer a reason to look for you.

AI visibility tools vs Answer Index

AI Visibility Tools
Show whether you appeared
Tracks mentions
Monitor prompts
Produce visibility scores
Present raw data
Answer Index
Shows who AI puts forward
Reveals where competitors appear instead
Distinguishes mentions from recommendations
Shows where you disappear in the buying journey
Examines recurring source, proof and positioning patterns
Shows whether buyers are being given a reason to discover and consider you
From presence to discovery Answer Index moves beyond whether your company appeared. It examines whether the answer introduces your company as a credible choice—or leaves the buyer with no reason to search for you.

What leadership teams learn from the analysis

Speedshift Logo

The Answer Index analysis gave us a much clearer view of where Speedshift appeared in AI-generated buyer answers, where competitors were being put forward instead and where buyers may not have been given a reason to discover us. It turned a complex subject into a clear commercial picture and showed us what we needed to examine next.

Vince Jones
Managing Director, Speedshift
THE PART OF THE BUYER JOURNEY YOU CANNOT SEE

Your competitors may be introduced to buyers before those buyers ever know to look for you.

You can measure what happens once someone reaches your website.

You can track visits, enquiries, leads and sales conversations.

But before any of that happens, a buyer may already have asked AI:

Who should we consider?
Which providers are best?
What are the strongest alternatives?
Which company is right for us?

Unlike a traditional search-results page, AI may present only a small number of companies as credible choices. If your company is not shown, the buyer may have no reason to search for your website or even know that you exist.

At that point, AI may already be shaping the buyer’s view of the market.

JOURNEY LINE
Buyer asks AI → Market view forms → Shortlist begins → Website visit → Enquiry → Sales conversation

If competitors are repeatedly put forward during those early questions, they may enter the buyer’s mind before your business gets the chance to make its case.

Answer Index examines that unseen part of the journey.

It shows:

  • who AI puts forward
  • who is merely mentioned
  • where your company disappears
  • which competitors appear instead
  • at which buying stage that happens
  • what recurring source, proof, category and positioning patterns may be supporting those choices

The commercial risk is not only being left off the shortlist.

It is never being introduced to the buyer at all.

The real commercial risk is not only being absent.

It is being visible but still not making the shortlist.

Which providers are best suited to a growing company that needs stronger reporting and integration?

Example answer pattern

  1. Competitor A — recognised for reporting depth
  2. Competitor B — known for flexibility
  3. Competitor C — associated with enterprise control
  4. Competitor D — presented as a strong all-round option
  5. Competitor E — linked to ease of use
Answer Index Favicon White

What the analysis may reveal:

Your company may be known to the AI system but not clearly understood, strongly supported or confidently presented.

This may cause buyers to be shown competitors instead—without ever being given a reason to discover your company.

HOW IT WORKS

The analysis follows the way buyers make decisions.

We examine the questions buyers may ask as they explore the market, narrow their options and compare final choices.

We show:

Explore the market

“Who are the leading providers?”

Which companies AI introduces to the buyer—and which companies remain invisible.

This shows whether your company is recognised when buyers first begin exploring the market.

Build the shortlist

“Who should we consider?”

Which companies are put forward as credible choices, which are merely mentioned and which disappear.

This shows whether your company enters serious consideration when buyers begin narrowing their choices.

Compare final options

“Which option is right for us?”

How AI compares the remaining providers and whether your company is still present when the buyer moves closer to a decision.

This shows whether your company remains in the running when the buyer moves closer to a decision.

WHAT MAY BE SHAPING THE ANSWERS

AI may find some companies easier to recommend than others.

Across a structured set of buyer questions, recurring patterns may show which companies AI can understand, explain and support most confidently.

Those companies may be introduced to buyers more often. Companies with weaker evidence, unclear category positioning or inconsistent external signals may never be shown at all.

Answer Index looks for patterns in:

  • trusted third-party sources
  • comparison pages and review sites
  • proof and credibility signals
  • category language
  • use-case associations
  • repeated competitor claims
  • positioning themes
  • consistency across leading AI systems

These patterns do not prove one exact cause.

They provide an evidence-based view of what may be helping some companies appear as stronger, safer or more relevant choices.

The question is not only whether AI knows your company.

It is whether AI has enough clear evidence to put it forward and give the buyer a reason to look for you.

Illustrative example

Sources and signals shaping recommendations

34% 24% 16% 10% 8% 8%
100%
Review Sites 34%
Comparison Pages 24%
Industry Guides 16%
Case Studies 10%
Directories 8%
Other Sources 8%

Percentages may not total 100 due to rounding.

Signal strength snapshot

Signal theme
Competitors (Category leaders)
Your Company
Review presence
Strong
Weak
Comparison coverage
Strong
Weak
Category clarity
Strong
Moderate
Use-case relevance
Strong
Weak
Commercial interpretation

Competitor A appears to have stronger recurring support across reviews, comparison sources, category clarity and use-case evidence.

These patterns may make the company easier for AI to understand, explain and put forward—while your company remains absent from the buyer’s view.

AI RECOMMENDATION ANALYSIS

What you receive in the analysis.

 

The AI Recommendation Analysis is a fixed-scope commercial diagnostic showing whether buyers are being introduced to your company, whether competitors are being put forward instead and what recurring patterns may be shaping that difference.

It shows where your company appears, where it disappears and which competitors are put forward instead.

It also examines the recurring source, proof, category and positioning patterns that may be shaping those answers.

It is built around three core commercial questions:

Where are buyers being shown your company—and where may they never encounter it?

Which competitors are being put forward instead?

What recurring source, proof, category and positioning patterns may be making competitors easier to discover and recommend?

Answer Index produces a commercial report that turns those answers into intelligence, showing what the pattern may mean for visibility, shortlist inclusion and competitive positioning.

AI Recommendation Analysis – £1,950

A fixed-scope commercial diagnostic for companies that need clarity before deciding what to change.

What you receive

What you receive in the analysis.

01

Executive summary

A clear leadership view of where you stand, where the commercial risk sits and what matters most.

02

Buyer journey analysis

How your presence changes as buyers move from market exploration to shortlist and final comparison.

03

Competitor recommendation map

Who AI repeatedly puts forward, in which buying situations and with what apparent strength.

04

Where you are missing

Where your company is absent, merely mentioned or weakly presented—and where buyers may be given no reason to investigate it further.

05

Source and positioning patterns

The recurring sources, proof signals, category language and positioning themes associated with competitor inclusion.

06

Commercial priorities

The areas leadership may need to examine before deciding on content, PR, positioning or wider implementation.

THE ANALYSIS LAYERS

The answer is only the starting point.

 

Answer Index does not rely on one isolated AI response.

It compares repeated patterns across buyer questions and leading AI systems, then interprets what those patterns may mean for whether the company is discovered, considered and put forward.

01 · Buyer questions

What buyers ask

We test the questions buyers may use while exploring the market, narrowing their options and choosing between providers.

02 · Repeated patterns

What repeats

We identify which companies repeatedly appear, where your company disappears and which patterns recur across the answers.

03 · Commercial interpretation

What it means

We translate those patterns into a clearer view of whether buyers are being introduced to your company, overlooking it or being directed towards competitors instead.

Find out whether AI gives buyers a reason to discover your company.

See who AI puts forward, where your company is missing or merely mentioned, and whether buyers may be reaching your competitors without ever knowing to look for you.