Buyers now meet your company in an AI answer first, so the facts there need to be yours.

Who is this page for?

It's for CMOs, demand-generation leaders and product marketers at technology companies that sell to enterprise buyers anywhere in the world. Your buyers now start their research with AI assistants and check it with peers, so the first description of your company they read is rarely one you wrote. Most of what follows is about making that description accurate and then meeting the buyer where it leaves off.

What do we do for technology marketers?

• Answer-ready company facts. We write an answer summary, FAQ, solution facts and structured data that AI engines and buyers can quote accurately, and keep them consistent across your site and the directories that list you.
• Signal-led planning. We use category interest, rising topics and the questions practitioners ask, in aggregate, to decide which problems your programme leads with.
• AI and agent visibility. We check a fixed set of buyer prompts over time to see whether AI engines cite you and how they describe you.
• Community participation. We help your subject-matter experts answer questions in communities, always with their affiliation disclosed.
• Programmes that end in meetings. We run content syndication, tele-qualification and appointment setting, and report the results through to pipeline.

How do our programmes run?

1. We read category, topic and engagement signals to see which problems are live and which themes to lead with.
2. We write answer-first content around the questions buyers are actually asking, matched to each role on the buying committee.
3. We place that content in front of audiences already researching the category, including on independent communities such as Techarda.
4. One of our team confirms need, timing and who else is involved in a call before anything goes to sales.
5. We book qualified conversations with the right people at your target accounts.
6. We report from the first signal through to meetings and pipeline, and feed what we learn into next quarter's themes.

What rules do we work by?

The communities we work with keep trusting our programmes because we hold to these rules.

• We never try to identify individuals from anonymous browsing, and we use community signals only in aggregate.
• We use someone's personal details only when that person has explicitly agreed to be contacted.
• Your staff always disclose their affiliation when they post in a community.
• We can't buy you placement, rankings or reviews on independent platforms, and we won't try.

Guides

• Answer engine optimisation (AEO) for B2B technology companies
• How enterprise technology buyers research in the AI era
• First-party intent versus third-party intent data
• Account-based marketing built on community signals
• How to make your company profile answer-ready: a checklist

Start with a conversation

Bring your target categories, your ideal customer profile and any priority accounts, and we'll show you what a programme would look like for you. Talk to us.