AI visibility intelligence
The intelligence firm for AI‑mediated discovery.
Logres measures how AI systems name, cite, describe, and position organizations when people ask who to trust.
Built for firms, providers, and service businesses competing for consideration before the first click.
AI assistant
Illustrative example
Who should I trust to manage my retirement savings?
Based on available sources, three firms are most often recommended:
- 1.Meridian Wealth Partnerscites meridianwp.com
- 2.Crestline Advisory Groupcites industry press
- 3.Harborview Financialcites review profiles
Your firm — not in this answer.
That gap is what we measure, then fix.
- Coverage
- The major AI assistants buyers already use
- Method
- Point-in-time measurement of live AI outputs
- Deliverable
- Prioritized, evidence-based recommendations
A decision layer now sits before the website visit.
When people ask AI systems who to trust, the answer is assembled before your site is ever opened. The question is not only whether people can find you. It is whether AI systems include you in the answer. Logres measures that layer.
A consideration metric, not a traffic metric
AI visibility is not about visits. It is about whether AI systems include you when someone asks who to trust.
Ranking well is not the same as being recommended
An organization can rank well in search and still be absent from AI-generated shortlists.
The website is no longer always the first decision point
AI systems summarize, compare, and recommend before the first click. That layer is rarely measured.
Answers are built from public evidence
AI systems draw on the evidence they appear to rely on — pages, references, citations, descriptions. That evidence can be studied and improved.
Four things
we check.
Logres evaluates AI-mediated discovery across four dimensions: whether you are named, whether credible evidence is cited, whether the description is accurate, and whether the answer supports consideration.
- 01
Visibility
Are you named?Whether AI systems name your organization when people ask about your category — and how you compare with the alternatives they name instead.
- 02
Authority
Are you cited?Whether credible evidence about your organization is cited. Distinct from being named: this is whether AI systems treat you as a source worth quoting.
- 03
Accuracy
Are you described correctly?Whether the description matches reality when you do appear. Incorrect or outdated descriptions undermine consideration.
- 04
Influence
Does the answer support consideration?Whether the answer supports consideration — tone, framing, and the context in which your organization appears.
AI position model
Visibility x Authority
Every baseline lands somewhere on this map. The work is to become easier to name and easier to cite.
Content Leader
Cited often, not named
Dominant
Named and cited reliably
Invisible
Low visibility, low authority
Brand Leader
Named often, not cited
A baseline you can act on.
The first deliverable is not a generic SEO audit. It is a clear read on what AI says, where competitors win, and what should be fixed first.
Baseline measurement
A point-in-time measurement of how AI systems name, cite, and describe your organization when people ask the questions your buyers ask.
Evidence analysis
We study the sources AI systems appear to rely on — who is cited instead of you, what is missing, and what is wrong.
Prioritized roadmap
Findings become a prioritized, evidence-based set of recommendations. Diagnostic first; no generic content calendar.
Repeat measurement
AI outputs vary, so engaged clients re-measure on a defined cadence to track movement over time.
We fix what AI reads about you.
AI tools build answers from public information. We make that information clearer, easier to parse, and easier to trust.
Measure
Improve
Re-test
Site structure
Organize your content so AI tools can understand what you offer.
Metadata and machine readability
Add signals that help AI classify and summarize your work correctly.
How your firm is described
Clarify your firm, your services, and what makes you different.
Outside credibility
Improve the outside sources AI leans on: press, expert mentions, partner references, and reviews.
Ongoing monitoring
Re-test how AI describes you and update the work as tools change.
Firms clients research carefully.
These are categories where a wrong AI answer can change the shortlist before a prospect reaches out.
We work with firms in fields where clients research before choosing. Accurate, credible descriptions matter there.
- Professional service firmsA client asks which firm to call.
- Legal practicesA claimant asks who to trust with a serious case.
- Healthcare providers and groupsA patient asks who to trust.
- Med spa and wellness operatorsA buyer asks which provider is credible.
- Telehealth and digital healthA prospect asks which option is legitimate.
- Multi-location service businessesA customer asks who is best near them.
Every engagement starts with a short fit conversation.
Not SEO.
Intelligence.
Logres is not a rankings vendor, a content mill, or an “AI strategy” deck. It is intelligence on how AI systems form recommendations — and the evidence they appear to rely on.
| Search-era playbook | Logres | |
|---|---|---|
| Object of study | Search rankings and traffic | How AI systems form recommendations |
| Evidence | Keyword and traffic reports | Live AI outputs, measured point-in-time |
| Competitive view | Guesswork | Who AI names and cites instead of you |
| Recommendations | Generic content calendar | Prioritized, evidence-based roadmap |
| Progress | Promised rankings | Measured movement over time |
Search-era playbook
Search rankings and trafficLogres
How AI systems form recommendationsSearch-era playbook
Keyword and traffic reportsLogres
Live AI outputs, measured point-in-timeSearch-era playbook
GuessworkLogres
Who AI names and cites instead of youSearch-era playbook
Generic content calendarLogres
Prioritized, evidence-based roadmapSearch-era playbook
Promised rankingsLogres
Measured movement over timeAsked before engaging.
Short answers to the questions most organizations raise first.
All questionsFour dimensions of AI-mediated discovery: whether AI systems name your organization when people ask who to trust, whether credible evidence about you is cited, whether the description is accurate, and whether the answer supports consideration. Findings are delivered as a diagnostic baseline with prioritized recommendations.
No. SEO concerns how search engines rank pages. Logres measures how AI systems name, cite, describe, and position organizations when people ask who to trust. Some remediation overlaps with good web hygiene — clear pages, consistent descriptions, credible references — but the object of measurement is different.
The major AI assistants buyers already use. Specific coverage is confirmed during scoping for your market, and we adjust as the landscape shifts.
No. AI outputs vary, and no outside firm can guarantee how an AI system will answer. Treat any such guarantee as a red flag. Logres provides point-in-time measurement, diagnostics, and prioritized recommendations — and tracks movement over time for engaged clients.
Start with measurement
See what AI says before your buyers do.
Every engagement starts with a short fit conversation and a clear baseline scope.