AI PRESENCE ARCHITECTURE · FOR B2B COMPANIES

Your buyers ask AI who to buy from. Are you in the answer?

Most B2B companies are invisible in ChatGPT, Perplexity and Gemini at the exact moment buyers build their shortlist. People aren't just searching. They're deciding.

✦ AI assistant · live answer
"Best B2B [your category] platforms for a mid-market team?"
Recommended
  • 1 Competitor A
  • 2 Competitor B
  • 3 Competitor C
Your company Not mentioned
The shape
Two phases: diagnose → grow
The engine
Proprietary agent pipeline
Entry point
A clear diagnostic
73%
of B2B buyers now use AI tools to research and shortlist vendors.
Averi citation analysis, 2026
5.1×
AI search converts vs traditional organic (14.2% vs 2.8%).
Exposure Ninja conversion analysis, 2026
88%
of AI citations don't appear in Google's top 10. Your rankings can be fine while your AI presence is zero.
Moz · 40,000-query study
The shift nobody's measuring

The shortlist is being built without you, and you can't see it happening.

Search used to return ten links and let the buyer choose. AI returns a recommendation. If the engine doesn't name you, you're not on the list, and nothing in your analytics tells you why the pipeline went quiet.

01

Invisible, silently

No dashboard shows that an engine recommended a competitor instead of you. The loss is real and completely unmeasured.

02

SEO doesn't cover this

AI engines cite on earned authority and entity clarity, not backlinks. Your Google rankings can be fine while your AI presence is zero.

03

Competitors compound

Whoever the engines learn to trust first becomes the default answer. The longer you wait, the more entrenched their lead, and the more it costs to dislodge.

What's actually at stake

AI doesn't return links. It returns a decision.

When a buyer asks an engine to compare options, they get a synthesised answer, not ten links to evaluate. If you're cited, you're considered. If you're not, you're invisible at the highest-intent moment in the entire journey, and you never find out it happened.

That missing vendor in the answer could be you. Right now, it's probably a competitor.

94%
of B2B buyers now use AI in their purchase process, up from 89% a year earlier.
Forrester · State of Business Buying, 2026
as many buyers name generative AI their most meaningful research source as any other, outranking vendor sites, experts and sales.
Forrester · Buyers' Journey Survey, 2026
The system

A purpose-built agent pipeline, not a person running prompts by hand.

Five agents run in sequence to produce a diagnostic that's consistent, fast, and specific to your market. The edge isn't the tools. It's what we decide to measure and how we read it.

01

Research · profiles your real market

Your business, category and actual competitors, so the diagnostic reflects how your buyers really frame the problem.

02

Prompt Generator · builds the buyer's questions

50 to 100 buyer-intent prompts across problem, category and brand queries. The questions your customers actually ask.

03

Engine Runner · runs every engine

Every prompt across ChatGPT, Perplexity, Gemini and AI Overviews, capturing who gets cited and how.

04

Scoring · turns answers into a score

An AI Visibility Score and a gap map, benchmarked against the competitors who keep showing up.

05

Report · packages it to act on

A plain-language diagnostic a founder can read in ten minutes and a marketer can act on the same day.

The judgment layer · built, not bought

Anyone can run a prompt. What no tool replicates is what we choose to measure, how we compare you, and what we tell you to fix first. The full agent architecture and prompt library are proprietary to Beyond. What you receive is the output, not the toolkit.

How it works

Assess, fix what exists, then build what doesn't.

We map your current AI presence across every major engine. What's broken, we fix. What's missing, we build. The two phases reflect exactly that sequence.

Phase 01 · one-time · starts with the diagnostic

Diagnose + Fix

Assess and repair what you already have.
  • AI Visibility Score across all major engines
  • Full gap map: every prompt where competitors appear and you don't
  • The three highest-leverage fixes, ranked by impact
  • Content restructured so engines can parse and cite it
  • Technical fixes: structured data (schema), entity markup and authority signals
  • Re-scan to confirm movement before we close
Talk to us about Diagnose + Fix →
Phase 02 · ongoing

Grow

Build what doesn't exist, and hold the lead.
  • New content built from scratch to be cited, not just found
  • Continuous monitoring as engines and rivals shift
  • Earned-media and topic authority built over time
  • Monthly visibility report and movement review
  • Prompt library updated as buyer language evolves
Talk to us about Grow →
Why Beyond

Most alternatives are aiming at the old map.

What's out thereThe problem
Traditional SEO agenciesOptimise for Google rankings. AI engines cite on different logic, so the work doesn't move the answer that matters now.
Generic AI visibility toolsGive you a dashboard and leave the interpretation and the fixing to you. Data without judgment.
Doing it yourselfYou can run a few prompts. Building a consistent, benchmarked, multi-engine picture by hand is a job, not an afternoon.
WaitingEvery month, the engines harden their defaults around whoever they already trust. The cheapest this ever gets to fix is today.
Questions

Before you start.

Isn't this just SEO with a new name? +
No, and the difference matters. SEO optimises for ranked links on Google. AI engines synthesise a direct answer and cite sources on entirely different logic: earned authority, entity clarity, and how well your content answers the way buyers actually ask. You can rank well and still be invisible in every AI answer. Different game, different work.
What exactly is in the Diagnose + Fix phase? +
It starts with the diagnostic: your AI Visibility Score across major engines, every buyer query where competitors appear and you don't, a full gap map, and the highest-leverage fixes ranked by impact. From there we don't just hand you a list. We fix what already exists, restructuring content and entities, repairing technical signals like structured data and schema, and strengthening authority, then run a re-scan to confirm movement before we close. The whole phase is one engagement.
What's the difference between Fix and Grow? +
Fix works with what you already have: restructuring and repairing the existing signals so the engines can find and cite you. Grow is what comes after: building the content and authority that doesn't exist yet, monitoring as rivals and engine logic shift, and keeping your position as the landscape evolves. Fix closes the gap. Grow makes sure it stays closed.
Do I have to commit to Grow after the first phase? +
No. Diagnose + Fix stands on its own. Some companies do the first phase, confirm movement, and decide the ongoing work makes sense. Others take the output and run it themselves. Either way, you leave with a clear picture and a fixed baseline, which is valuable regardless of what comes next.
Which engines do you cover? +
The ones that matter for B2B buying today: ChatGPT, Perplexity, Gemini and Google AI Overviews. The landscape is shifting fast, which is exactly why the Grow phase includes continuous monitoring. What's true today about how these engines cite sources may not be true in six months.
What do you need from us to get started? +
Your website URL and the competitors you want benchmarked against. The agent pipeline handles the rest, with no lengthy briefing or kick-off process before there is something concrete to look at.
Let's talk

Find out what AI tells your buyers about you.

A conversation to understand where you stand, what the gap is costing you, and whether AI Presence Architecture is the right move. Before your competitors ask the same question.

[email protected]

No pitch. You'll hear back shortly.