Skip to content
Group of Dots
[02 / what we solve]

Examples of what Group of Dots can solve.

Invisible in AI answers. Visitors nothing answers. A content team guessing. These are the AEO problems Group of Dots is built to fix - from per-page schema and content plans to a live multilingual agent and citation tracking across all four AI surfaces. The structure varies; the logic is always commercial.

/ 01

Invisible when buyers ask AI for a shortlist

Problem

Buyers now ask ChatGPT, AI Overviews, Perplexity and Gemini for a shortlist before they ever reach your site. The brand exists; the recommendation doesn't, so you never make the list.

Solution

We audit where you stand across all four surfaces, then ship the schema and content that get AI models citing you. Done for you - we own the work, you don't end up with a to-do list to hand to a developer.

Impact

Visibility in a channel buyers won't tell you they used, and a place on the shortlist you were missing from.

/ 02

Visitors who don't convert because nothing answers them

Problem

Traffic arrives, reads a paragraph, and leaves. Real questions go unanswered, and the form is a dead end for anyone who needed one more answer before they would commit.

Solution

A live multilingual AI agent answers visitors in their own language, qualifies them, and routes the right ones to you. The wrong ones never reach the team.

Impact

More of the traffic you already have turns into qualified conversations, on a site that finally answers back.

/ 03

A content team guessing instead of building from real questions

Problem

Content gets planned in a meeting room, guessing at what buyers care about. Half of it never gets asked; the questions buyers actually have go unwritten.

Solution

Every question the agent cannot answer becomes a logged content priority. The roadmap is built from what buyers really ask, not what someone assumed.

Impact

A content pipeline that compounds: each gap closed makes you more quotable and more findable.

/ 04

No idea whether AI tools actually cite you

Problem

You might be cited in AI answers. You might not. Without measurement it is a guess, and guesses don't survive a board meeting.

Solution

We track whether you're cited across Google AI Overviews, Perplexity, ChatGPT and Gemini, with multi-pass averaging so the numbers are stable, refreshed continuously. Citations are measured, never invented.

Impact

A real read on AI-search visibility over time, and proof the work is landing.

/ 05

Pages AI models can't parse or trust

Problem

Your pages read fine to humans and badly to machines: no schema, buried answers, unclear entities. AI models skip what they can't confidently lift.

Solution

Per-page JSON-LD schema, a clean entity model, and answers structured the way AI tools quote them - shipped by us, not handed over as a spec.

Impact

Pages AI models can read, trust, and cite, doing the selling once a buyer clicks through.

/ 06

An audit that's just a PDF you can't action

Problem

Most audits hand back a list of problems and wish you luck. Your team is left to interpret schema specs and content briefs they don't have time to ship.

Solution

We deliver the assets, not just the findings: the schema bundle, the content plans, the agent. Rollout is optional (us, your in-house team, or a third party), but nothing lands as homework.

Impact

The work actually ships, because we hand over assets and a roadmap, not a reading list.

Industries

Where this tends to apply.

Not a closed list. These are the spaces where the pattern shows up most often, and where the systems pay back fastest.

  • 01Agencies
  • 02Consultants
  • 03Professional services
  • 04Property and real estate
  • 05Clinics and service businesses
  • 06SaaS and digital products
Start here

Tell us what is broken - we will tell you what to fix first.

A short conversation about the actual commercial problem. Honest answer on fit, scope, and where to start.