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Generative engine optimization
Get cited and recommended accurately by ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews.
Be the answer when buyers ask an AI assistant which tool to use
In short
PlanConversion runs demand generation for AI and machine learning companies. Programs combine GEO, paid media, ABM and conversion work, built for a crowded category where buyers often ask AI assistants before they visit a vendor site, and reported on pipeline and revenue.
Last updated
Clients
Sound familiar?
What we hear from teams like yours
“Buyers ask AI assistants for shortlists and we are not in the answer.”
“Our positioning goes stale every month and buyers cannot tell us apart.”
“Results depend on the customer, so proof is hard to show.”
Who we reach
The buying committee
Programs are built around every role that influences the decision, not just the person who fills in a form.
- Heads of data, AI and engineering
- CTO and CIO
- Line-of-business sponsors
- Procurement, security and legal
The challenge
What makes demand generation hard here
A category that changes monthly
Positioning goes stale fast, and buyers struggle to tell vendors apart.
Buyers research in AI assistants
Shortlists form in AI answers before any website visit.
Proof is hard to show
Outcomes depend on the customer data and use case, so evidence needs care.
Plays
What we run
Visibility in AI answers
GEO work that makes your product easy for AI assistants to describe and cite.
Use-case campaigns
Paid media and ABM built around specific problems rather than broad AI claims.
Clear category positioning
Messaging that explains who the product is for and what it replaces.
Conversion work
Demo and trial flows tuned for qualified technical buyers.
Services
Most-used programs in this industry
Paid media
LinkedIn, Google, Microsoft, programmatic and intent platforms managed against pipeline.
Account-based marketing
Campaigns for sales-approved target accounts, by tier and buying role.
Conversion rate optimization
Landing page, form and demo-flow tests that produce more qualified conversations.
Board-ready reporting
The KPIs leadership will see
Reporting is built for leadership and investor meetings: pipeline, revenue and payback, not activity counts.
Share of AI answers
How often assistants name and describe you correctly.
Qualified demo requests
From technical and business buyers.
Pipeline by use case
Which problems bring in real opportunities.
Win rate and payback
Tracked from first touch to revenue.
First 90 days
What happens after you say yes
Days 1 to 30
Audit how assistants describe you and your competitors. Define category positioning and the use cases worth targeting.
Days 31 to 60
Publish answer-ready pages, launch use-case campaigns and tune demo and trial flows.
Days 61 to 90
Review AI visibility and pipeline together, then update positioning on a regular cadence.
Start free
Check how AI assistants describe you
See how ChatGPT, Perplexity and Google AI answer the questions your buyers ask, and which competitors they recommend instead.
FAQ
Common questions
Does GEO matter more for AI companies?
It matters a great deal, because buyers in this category ask AI assistants early. We audit how assistants describe you and fix the gaps.
How do you handle fast-changing positioning?
We review messaging on a regular cadence and tie changes to pipeline results.
