HypoText Discovery · Be Cited

Someone justWas it you?

Find out when your brand appears, who gets recommended instead, and what you can do to improve your chances of being chosen.

30-minute call · Pick a time that suits you

Buyer prompt“Which running shoes should I buy for flat feet?”
  1. Reading the question
  2. Querying 4 AI platforms
  3. Parsing the answers
  4. Comparing against competitors
Running audit
0AI platforms monitored
0sQueries tracked per product area
LiveCompetitor share of voice
AlertsWhen AI gets your facts wrong

01 · The problem

You’re flying blind.
Where it counts.

Google Analytics doesn’t attribute AI referrals reliably. SEO tools track keyword rankings, not AI citations. Social listening can’t see inside an AI answer.

So you can’t answer the questions that matter:

Without HypoText

Nothing here answers the question, so nothing gets quoted.

?

Does AI cite us when customers ask about our category?

?

Do competitors get cited more than we do?

?

Is AI describing our products, prices, and terms correctly?

?

What would change that?

02 · How it works

Find the gap.
Close it. Repeat.

A closed loop that turns AI answers from a black box into a measurable, improvable channel.

  1. 01

    Monitor

    Discovery continuously queries AI platforms with the questions your customers ask and records whether and how you're cited.

  2. 02

    Benchmark

    The same queries run for your competitors, giving you a live share-of-voice measure.

  3. 03

    Diagnose

    For every gap, Discovery identifies the likely cause: missing structured data, content AI can't extract, or no direct answer to the question.

  4. 04

    Fix

    Structured data, semantic markup, and AI-friendly content are injected at the edge. No code changes.

  5. 05

    Alert

    If AI says something wrong about you, you're told which answer and which page is responsible.

03 · What you get

Every AI decision.
One dashboard.

Analytics, accuracy, competitive intelligence, and the fixes that follow — connected end to end.

AI Visibility Analytics

Citation frequency by product category and platform, AI referral traffic, and a visibility score over time

Citation Accuracy

A check of what AI says against what you actually publish

Competitive Intelligence

Share of voice against named competitors, with every query they win flagged as a citation gap

Citation Gap Reports

A prioritised list: the query, the competitor cited, and the likely cause

Content Optimisation

Auto-generated schema markup and structured content injected at the edge

Brand Accuracy Monitoring

Real-time alerts when AI misstates prices, terms, eligibility, or features

Leadership Reporting

Visibility score, share of voice, and citation growth in a shareable view

04 · See it in action

See an alert.
See a gap.

Example alert

Misrepresentation detected

Perplexity’s answer to "[Your product] pricing for small teams" cites an outdated price. Source traced to /pricing, last updated [date].

→ Recommended fix: update the page and add structured pricing data.

Example citation gap

“Best [category] for mid-sized companies”

Competitor A
Not cited

No direct comparison answer; missing structured data

Every gap is a roadmap item. Discovery tells you the query, the competitor who won it, and the page that needs to answer it.

05 · Why marketing teams love it

The AI channel
finally has numbers.

A new KPI: weekly AI share of voice, benchmarked against named competitors.

Richer campaign analysis: see whether a campaign lifts AI citations as well as traffic.

Smarter content: write to the questions AI users actually ask, not guessed keywords.

Brand protection: catch AI misinformation before customers do.

Bonus: better for every machine reader. The structured data Discovery adds also supports rich search results, featured snippets, and voice search.

Be cited

See your AI visibility gap
in minutes.

30-minute call · Pick a time that suits you