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// the conversation you're not in
buyer · assistant session
> who are the best CRM providers for a mid-sized company
For a company your size, three vendors come up consistently:
1. Meridian Systems
2. Northwind Cloud
3. Ostara Platform
→ your company · not named · no trace in your analytics
← ALL CAPABILITIES
Capability 03

Your buyers shortlist vendors in a chat you're not in.

Answer Engine Optimisation. An AI answer names three vendors. We check whether it names you, and change the pages the model reads until it does.

ChatGPTClaudeGeminiPerplexityVisibility auditPlacementsMonthly reruns
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An AI answer has three names✦Reputation won't put you in the answer✦Measured, not guessed✦Most of those pages aren't yours✦ An AI answer has three names✦Reputation won't put you in the answer✦Measured, not guessed✦Most of those pages aren't yours✦
// the shift

Most of the buyer journey no longer happens on your website.

This activity does not leave a trail through your site. Six numbers explain why the pipeline feels quieter than the market does.

// how buyers decide
94/100

Business buyers used an LLM during their most recent purchase. They rated it more useful than vendor websites, sales reps and product experts.

// where they compare
55%

Use AI to compare vendors against each other. 54% research product information with it. 47% build the internal business case with it.

// the shortlist
92%

Of buyers said AI shaped their shortlist, 45% said significantly. And 95% of the time, the vendor who won was already on the day-one shortlist.

// changing their mind
69%

Chose a different vendor than they originally planned after using an LLM. A third of those bought from a company they had never heard of.

// why you get named
7%

Notice a vendor in an AI answer because they recognise the name. Everyone else notices the vendor whose answer matched their problem. Reputation alone won't get you in.

// what the traffic does
4.4x

Visitors from AI search convert at roughly four times standard organic traffic. Half a per cent of visits, twelve per cent of signups. Small channel, ready buyers.

Sources: Forrester 2026, Semrush 2026, 6sense 2025, G2 2026, Ahrefs 2025.

You lose these deals without seeing them.

A buyer rules you out in an AI chat. They never open your site, never fill in a form and never reach your CRM. No dashboard shows it, so nobody on your team has a reason to act on it.

// you have probably seen this already

Between 2024 and 2026, the share of Google searches producing at least one click fell by 9.5 points. When an AI Overview appears, clicks to the top result drop by roughly 58%. Rankings stay but traffic doesn't follow. Most teams blame it on a Google update.

SparkToro, 2026 · Ahrefs, December 2025.
// note

This is a different surface from traditional search rankings.

Traditional SEO

Optimises your own pages so they rank in Google's results.

What we do

Makes sure the pages an LLM reads while writing its answer include yours.

The two overlap, and most SEO retainers don't cover this. It's a scope gap, not a performance problem with your agency.

// how it works

How an LLM builds an answer.

1 · QUESTION ASKED

who are the best CRM providers for a mid-sized company

2 · PAGES IT READS
· Category pages on review sites
· Comparison articles
· Analyst reports
· Reddit and forum threads
· Trade press coverage
· Independent buyer guides
· User community posts
· A handful of vendor pages
THIS LIST IS FINITE AND CAN MORE OR LESS BE IDENTIFIED
3 · ANSWER RETURNED
1. Meridian Systems
2. Northwind Cloud
3. Ostara Platform

The model reads a specific set of pages and paraphrases what they say. Those pages can be found, and you can appear on more of them.

// what we do

Three areas of focus.

01

Find out where you stand

LLM visibility audit

We ask ChatGPT, Claude, Gemini and Perplexity the questions your buyers ask, and show you who gets named.

Questions that matter to you

We work out what your buyers actually type into an LLM. Not the keywords they used to type into Google.

02

Get onto the pages LLMs read

Placement planning

There are eight kinds of pages a model tends to pull from. We tell you which ones matter in your category, and in what order to go after them.

Writing and placements

Comparison pages, review site listings, analyst submissions, community threads, the odd Wikipedia edit. We do the work, or brief your team.

03

Stay in the answer

Monthly reruns

We ask the same questions every month and tell you what changed. Where you gained ground, where you slipped, what to do next.

Model drift tracking

Every release moves the answers around. We watch that so you find out from us and not from a quiet quarter.

// how we work

Four step process.

STEP 01

We check all four models

ChatGPT, Claude, Gemini and Perplexity give different answers, and each update changes them. So we check all four.

STEP 02

We work beyond your site

Most pages a model reads belong to someone else. We cover your pages, the ones you can influence, and the ones you can join.

STEP 03

You see the audit first

Fixed price, fixed scope. You read what we found, then decide. If it isn't useful, you stop there.

STEP 04

We keep going every month

We publish placements, rerun the questions and send you a report each month. This is ongoing work, not a one-off.

5 → 30%

At a mid-sized services company we worked with, the share of inbound leads coming from AI-driven discovery went from five per cent to thirty over the course of the engagement. Name withheld at their request.

// the offer

Send us the URL of your website.

We run twenty of the questions your buyers actually ask, in the major LLMs, and send back what came out. Then we can talk about what to do with it.

TURNAROUND IS TYPICALLY ONE WORKING WEEK
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Answer engine optimisation

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