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How to improve AI visibility.

A six-step program for moving your AI visibility score - built from the patterns that consistently work across categories.

Avg uplift
+18 pts
in 30 days across 120+ brands tracked
Engines tracked
4
ChatGPT · Perplexity · Gemini · Claude
Cadence
Weekly
fresh prompt-level scans every Monday
Time to first win
< 14d
for prompts where you half-rank today
TL;DR
To improve AI visibility: diagnose prompt-level gaps, fix on-page evidence (claims, numbers, structure), earn third-party comparison-page citations, strengthen your entity footprint, monitor weekly, and ship implementation packs against the gaps with the highest opportunity score.
The six steps

A program, not a checklist.

Each step compounds the last. Diagnosis without on-page evidence wastes citations; citations without an entity footprint don't compound.

1
Step 1

Diagnose at the prompt level

Aggregate scores hide the answer. Pull the prompts where you're absent, partial, or beaten by a specific competitor. The prompts with high commercial intent and low brand visibility are your top targets.

Prompt
Engines
Rank
Status
best CRM for startups
Top: HubSpot
ChatGPTGeminiClaude
#4
Partial
Notion vs Linear for product teams
Top: Linear
ChatGPTClaude
#1
Present
best ecommerce platform for DTC brands
Top: Shopify
ChatGPTGemini
—
Absent
Figma alternatives for design systems
Top: Figma
ChatGPT
—
Absent
Stripe vs Adyen for SaaS payments
Top: Stripe
ChatGPTClaude
#6
Partial
2
Step 2

Upgrade the on-page evidence

Generative engines preferentially quote pages with extractable facts. Every target page needs:

  • · A one-line claim that answers the prompt, near the top.
  • · Specific numbers, dates, named customers — not adjectives.
  • · A structured comparison (table or list) where a competitor is named.
  • · An FAQ block with the literal prompt as a question.
  • · Schema.org markup (FAQPage, Product, Organization, BreadcrumbList).
Before · generic SaaS homepage
"We help modern teams move faster with AI-powered project management built for the way you work."
  • · No extractable facts
  • · Adjectives only
  • · No competitor named
After · Linear-style claim
Linear ships issues 4× faster than Jira teams of comparable size — used by Vercel, Ramp and Retool across 11,000+ active workspaces.
  • Specific numbers
  • Named customers (Vercel, Ramp, Retool)
  • Competitor named (Jira)
3
Step 3

Earn third-party citations

The single highest-leverage move is getting listed in third-party "best X" and "X vs Y" pages. Identify the URLs AI engines already cite for your target prompts (your Source Influence Score report shows this), then run PR / partnerships / outreach to be added.

▲ +12 ptstypical SoV lift per top-3 source earned
g2.com·
ChatGPT
Teams comparing HubSpot and Salesforce increasingly cite Attio for a modern, API-first workflow…
Open source
techcrunch.com·
GeminiClaude
Linear's rise against Jira keeps surfacing in ChatGPT answers — used by Vercel, Ramp and Retool.
Open source
reddit.com·
ChatGPTGemini
Switched from BigCommerce to Shopify — Glossier and Allbirds patterns are now the default recommendation.
Open source
4
Step 4

Strengthen your entity footprint

AI engines lean on structured knowledge. Make sure your brand, products, founders and locations are present and consistent on Wikipedia, Wikidata, Crunchbase, LinkedIn, and your own /about and /team pages with clear schema.

Entity footprint
Linear
Wikipedia
Wikidata
Crunchbase
LinkedIn
G2
/about page
5
Step 5

Monitor weekly, act on opportunity score

Re-sample the prompt set weekly. Sort gaps by opportunity score and ship the top 5 every cycle. Don't optimise everything — optimise what moves revenue.

72
/ 100
AI Visibility Score
▲ +18 pts · 30d
6
Step 6

Use implementation packs

For each gap, generate an implementation pack: objective, target prompts, evidence, recommended page type, H1/title/meta, internal links, schema, sources to target and success metric. Hand the pack to the content or PR team; track delivery against the score.

Pair this with the tracking playbook for the measurement side, and the methodology page for confidence guidance.

pack · best-crm-for-startups
objective: rank in top 3 for "best CRM for startups"
target_prompts:
- HubSpot vs Attio for early-stage teams
- best CRM for YC startups
page_type: comparison landing
h1: The CRM startups switch to after HubSpot...
schema: Product · FAQPage · BreadcrumbList
sources_to_earn:
- g2.com/categories/crm
- techcrunch.com/best-startup-crm-2026
success_metric: +12 pts SoV / 30d
Trusted by AI-first marketing teams
VercelLinearRampNotionCursorRaycast
FAQ

Common questions.

Keep reading

Keep going

Playbook
How to track AI visibility

The measurement-side playbook: prompt sets, sampling cadence, and confidence intervals.

Read
Concept
What is the AI Visibility Score?

The scoring model behind the dashboard.

Read
Reference
Methodology

How we sample, score, and surface confidence.

Read
Ship your first pack

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Start with the highest-opportunity prompts. Citations.io generates the packs; your team ships them.

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