01
Map the entity
We connect the founder, organization, products, offers, services, locations, profiles, publications, citations and trusted third-party references around the brand.
Output: node and edge map
AI Entity Mapping
Find the gaps between who you are and what AI believes.
RankOps maps the public signals around your founder, brand, offers, services, locations, products, profiles, citations and third-party authority. Then we score the graph, find the weak edges, close the gaps and keep tracking whether AI actually starts naming you.
AI Citation Tracker: free for 14 days, no card. It stops at day 14 unless you continue at $29/month. Part of the AI Visibility path.
Entity Graph Snapshot
Illustrative audit view
ENTITY SCORE 72/100
YOUR
ENTITY
ENTITY
Founder
Industry Press
Services + Locations
Missing Citations
Profiles
Trusted Sources
18mapped nodes
5priority gaps
3strong authority edges
Owned site + schema
Third-party corroboration
AI citation behavior
Entity consistency over time
The RankOps Loop
Map it. Score it. Close it. Track it.
AI visibility is not one optimization. It is a repeating evidence loop. We first understand what the public web says about you, then improve the graph and measure whether assistants begin retrieving and citing the right sources.
02
Score the signals
We grade the graph against a transparent 100-point rubric so you can see whether the weakness is clarity, authority, corroboration, topic alignment or actual AI citation behavior.
Output: visibility score and evidence
03
Close the gaps
We strengthen weak relationships with the right pages, schema, entity references, internal linking, service and location architecture, source alignment and legitimate third-party signals.
Output: prioritized gap plan
04
Keep tracking
We keep asking the buyer questions that matter, recording who gets named, where assistants pull evidence from, which competitors appear and whether your share of voice changes.
Output: ongoing citation tracker
The Scoring Rubric
A 100-point score with receipts.
This is a RankOps diagnostic framework, not a secret score from Google, OpenAI or any AI provider. Every category exists to answer a practical question: how confidently can a machine resolve your entity, connect it to the right topic and find enough external evidence to trust the relationship?
RankOps AI Entity Strength Score
Eight observable categories, weighted to 100 total points. Bar fills are an illustrative example.
100 pts
1. Independent authority20 pts
Do credible third-party organizations, publications, directories, partners or institutions confirm who you are and what you do?
2. Entity identity consistency15 pts
Do your name, company, founder relationship, location, category, profiles and canonical URLs resolve consistently across the web?
3. Topical association15 pts
Is the entity repeatedly associated with the exact services, expertise, products and buyer problems you want AI to understand?
4. Node breadth and coverage15 pts
Are the important entity nodes actually represented, including founder, business, products, services, locations, profiles and proof?
5. First-party machine clarity10 pts
Does your own site make the entity easy to understand through canonical pages, structured data, internal relationships and clean information architecture?
6. Historical persistence10 pts
Has the same entity relationship existed consistently over time, or does the web still look fragmented, recent or contradictory?
7. Geographic and commercial relevance5 pts
Can search and AI systems clearly connect the entity to the locations, categories and commercial intent that actually produce customers?
8. Live AI citation performance10 pts
When assistants answer the real buyer prompts, are you named, cited or sourced? This is where entity theory meets observable output.
◆
More pages do not automatically mean a stronger entity.
One independent authority confirming the relationship can be more valuable than dozens of pages repeating the same first-party claim. The rubric separates raw graph size from corroborated authority for exactly that reason.
Gap Finding to Gap Closing
We do not hand you a score and walk away.
The score tells us where the graph is weak. The work starts when we convert those weaknesses into specific changes with a reason, source, owner and expected signal.
What a weak graph looks like
Plenty of content can still produce a weak entity when the edges are missing, contradictory or unsupported.
Founder not consistently tied to the business
Services exist but lack clear entity relationships
AI cites competitors instead of your brand
Third-party corroboration is thin
Location and service-area signals conflict
What we close first
We prioritize gaps that increase machine confidence and improve the likelihood of being retrieved for commercially useful questions.
Canonical founder and organization relationships
Service, product and location architecture
Schema and internal entity references
Legitimate external corroboration opportunities
Prompt and citation tracking tied to buyers
Continuous Measurement
Then the tracker keeps score.
Your entity graph is not finished when a page ships. RankOps keeps measuring the questions buyers ask, who gets recommended, which sources assistants use and whether your visibility is actually moving.
AI Citation Tracker
Illustrative prompt view
● Tracking
Buyer prompt
Cited?
Share
Best provider for [service] in [city]
YES
20%
Who does [specialty service] near me?
YES
33%
Top companies for [buyer need]
NO
0%
Where can I buy [technical product]?
NO
0%
AI Visibility entry point
AI Citation Tracker
14-DAY FREE TRIAL
$29/month
Know whether AI is naming you, who it names instead and where the evidence is coming from.
Prompt-level citation tracking
Competitor mention monitoring
Share-of-voice visibility
Source and citation observations
Baseline for future gap-closing work
No card. It stops at day 14 unless you continue at $29/month.
◆
The full Entity Map is a built deliverable.
The Tracker is the self-serve entry point. The Entity Map itself, a mapped graph, a prioritized gap plan and a schema plan, is a one-time deliverable from $1,225, confirmed on a short call. Ask about the Entity Map.
The other path
This sits beside the Catalog Control Engine, our Shopify offer.
RankOps also runs controlled, review-first SEO for national Shopify stores with large or complex catalogs, where unsafe bulk edits, thin product data and uncontrolled changes create real business risk. One improves the catalog under review. The other maps how machines understand the brand, closes entity gaps and tracks whether AI starts recommending it.
See the Catalog Control EngineSEO + AI Visibility Growth$1,500/month, shared monthly plan
Controlled Catalog Assessment$2,500 one-time
Four-Collection Control Pilot$5,000 one-time
Rollout / ManagedFrom $12,500 or $4,500/month
Stop Guessing
Make the entity measurable.
Map what the web says. Score the strength of the graph. Find the missing evidence. Close the gaps. Then keep tracking the only thing that matters at the end of the loop: whether AI can find, understand and cite you.
AI entity scoring is a RankOps diagnostic framework, not an internal score from Google, OpenAI, Anthropic, Perplexity or another AI provider. RankOps does not guarantee rankings, AI citations, or sales.