What problem does HaloX solve?
In AI search, users often see an answer before they see a list of links. If your brand is missing from the answer, mentioned without an official source, or explained through competitor content, traditional SEO metrics alone cannot explain the issue. HaloX separates the problem into four states.| State | Question | Required action |
|---|---|---|
| Discovery | Does AI know the brand and content? | Site audit, bot access, schema checks |
| Mention | Does the brand appear in the answer? | Strategic question sets and non-brand question coverage |
| Source | Can official or external assets become evidence? | Citation tracking and source inventory |
| Citation | Does the answer link to a citation URL? | Content Factory FAQ comparison tables entity hubs |
HaloX operating loop
1. Diagnose site and AI access
Use site audit to check web health, AI bot access, schema, performance, metadata, headings, and page issues.
2. Measure AVI and citation rate
Read AVI, citation rate, source visibility, brand mentions, and question coverage as operating signals, not as one isolated score.
3. Choose questions and keyword clusters
Segment brand, non-brand, comparison, buying, and local questions, then prioritize them in the strategy map.
4. Strengthen content and sources
Use Content Factory to produce citation-ready structures with definitions, FAQs, comparison tables, evidence, and trust reports.
Who needs HaloX?
| Team | Main question | Start with |
|---|---|---|
| Marketing or SEO | How do we connect AI search optimization with SEO? | Site audit, keyword clusters |
| PR or brand | How does AI describe the brand and which sources does it use? | AVI, citation tracking, weekly reports |
| Agency | Can GEO become a client proposal and monthly service? | Meeting scenarios, agency guide |
| B2B SaaS | Are we visible in non-brand and comparison questions? | Prompt analysis, Content Factory |
| Local or multi-location brand | Can we manage local recommendation questions and location URLs? | Local GEO guide, strategy map |
Check before adoption
| Item | Why it matters | Doc |
|---|---|---|
| First 30-minute baseline | Defines what to inspect on day one. | Quickstart |
| Team-specific plan | Agencies PR teams B2B teams and local brands start differently. | Adoption planning |
| Data readiness | GSC GA4 site access and question sets improve interpretation. | Data readiness checklist |
| Operating outputs | Reports, content briefs, and proposals make the loop repeatable. | Templates and outputs |
First reading path
Quickstart
Check the workspace, site audit, and dashboard in the first 30 minutes.
Adoption planning
Choose the starting flow by team type and first 30-day scope.
Product feature map
See how dashboard, site audit, strategy map, Content Factory, and reports connect.
Operating guides
Choose the right guide for the current task.
AI search problem fixes
Start from brand absence, competitor-only answers, or missing citations.
Free diagnosis keywords
Design AI visibility checks and ChatGPT brand mention checkers as lead assets.
Route from Docs to the app
After the reader understands the problem, move the actual inputs into the app. The minimum first-diagnosis package is primary URL, brand name, target prompts, competitors or alternatives, and source candidates.Start AI search diagnosis
Enter the primary site and target prompts to create the AVI, brand mention, and source visibility baseline.
Free diagnosis keyword path
Design AI visibility diagnosis and ChatGPT brand mention checks as lead assets.
First 30-minute checklist
New teams can create the first report sentence from the quickstart workflow.
Choose an adoption plan
Pick the first operating scope for internal, agency, PR, B2B, or local-brand teams.
One-sentence customer explanation
“HaloX helps teams operate how their brand is discovered, mentioned, sourced, and cited inside AI search answers through scores, product workflows, content execution, and weekly reporting.”