Free AI visibility checker for your business
See the score an AI system can give your site from what it publishes, and the one fix that moves it. No account, no email, about 20 seconds.
Your free report
This is a real, unedited result from a real evaluation of our own site, scored by the same engine that will score yours, with nothing hidden behind an upgrade.
| Pillar | Score | Level |
|---|---|---|
| Semantic Clarity | 10 | Strong |
| Entity Consistency | 10 | Strong |
| Authority | 7.1 | Adequate |
| AI Discoverability | 10 | Strong |
| Trust | 2.0 | Weak |
| Local Presence | N/A | Not applicable to this business |
Structured rating data makes reputation evidence explicit to systems that parse it. Visible review content, review-source links and independent platform evidence also carry reputation, so this is one readable path among several, not the only one.
Recommendation: If the ratings are the business’s own, publish them using AggregateRating schema. If they were collected on a platform it does not control, keep them visible on the page and link the source instead.
Scores can change when the site changes or when a published rubric version changes.
Six categories of observable signals
Six categories of observable signals that affect clarity, credibility, and AI-era discoverability. Every signal is read from what your site publishes publicly. No integrations, no accounts, no tracking code.
-
01
Semantic Clarity
Whether the words on the page state plainly what the business does, for whom, and where, in language a machine can resolve without guessing.
10 signals -
02
Entity Consistency
Whether the business describes itself the same way everywhere it is represented, so systems reading multiple sources resolve them to one entity.
6 signals -
03
Authority
Whether the site publishes the depth and proof that make a claim checkable: substantive pages, named work, and corroborating structure.
8 signals -
04
AI Discoverability
Whether the content can be retrieved and parsed at all: crawlability, structured data, machine-readable text, and no accidental blocks.
9 signals -
05
Trust
Whether ratings, reviews and review sources are visible in the site's own markup, rather than existing only on platforms the site never references.
4 signals -
06
Local Presence
Whether a business that serves a place makes that place machine-readable. Scored as not applicable when a business has no local footprint.
4 signals
What this does not do: AIOInsights evaluates observable signals that influence AI-era discoverability. It does not guarantee or directly measure recommendations from individual AI platforms, and it does not query ChatGPT, Claude, Gemini, Perplexity or Google AI Overviews to ask about your business.
Four steps, every time, in the same order
The check is deterministic by design. The same retrievable content evaluated under the same rubric version produces the same score.
-
1
Retrieve
We retrieve your homepage the way a search or AI crawler would, then read your robots.txt, sitemap.xml and llms.txt. Nothing is installed and nothing is tracked. If a bot shield or a robots rule blocks the request, that is itself a finding, and you get the reason rather than a guess.
-
2
Observe
Forty-one individual signals are checked against what was actually retrieved: markup, structured data, headings, links, machine-readable facts, crawl directives. Each signal passes, fails, or is recorded as unavailable when the evidence could not be obtained.
-
3
Score
Signals roll up into their six pillars, and the pillars into one weighted score out of 10. A signal we could not observe is excluded rather than counted as a failure, and a pillar that does not apply to your business is excluded from the weighting entirely instead of scoring zero.
-
4
Report
The report gives you the score, all six pillar scores, the evidence behind them, your highest-priority issue, and one recommendation, plus the evaluation timestamp and engine version so the result is reproducible.
What the check cannot see: content that only appears after JavaScript runs, pages behind a login, and anything published somewhere other than the site being evaluated. Those limits are stated on every result rather than scored around. Read the full methodology.
The whole rubric is published
The rubric is published in full, because a score you cannot interrogate is a score you should not trust. Everything that determines a result is written down and versioned.
Every signal, every pillar weight, the normalization rules, the not-applicable rules, and the known blind spots.
Scoring changelogEvery change to the engine, dated and versioned. Powered by AIOTruth, current engine v3.0.2. Stored results keep the version they were scored under.
Public researchReal sites evaluated under the published rubric, so you can read the output before you run your own.
A real result, worked through: AIO Insights checks itself
The fastest way to understand a score is to watch one get built. On October 6, 2026 we ran the free check on aioinsights.com, engine v3.0.2. It scored 8.3 out of 10. Here is every part of that number.
| Pillar | Score | Weight |
|---|---|---|
| Semantic Clarity | 9.9 | 20% |
| Entity Consistency | 9.4 | 20% |
| Authority | 9.1 | 20% |
| AI Discoverability | 10.0 | 20% |
| Trust (reputation signals) | 0.0 | 12% |
| Local Presence | not applicable | 8%, removed |
How 8.3 comes out
Local Presence did not apply. AIO Insights is an online tool with no storefront, street address or service area, so the check found no local signals and no local market was given. A pillar that does not apply is removed, not scored as zero, and the remaining weights are rescaled.
7.68 ÷ 0.92 (the share of weight that applied) = 8.35, shown as 8.3
Read the full report for aioinsights.com, or run the same check on your own site.
Frequently Asked Questions
AIOInsights, also written AIO Insights, is a trust visibility intelligence platform for the AI search era. It evaluates the signals that influence whether AI and search systems confidently access, understand, and verify a business. AIOInsights is connected to Digilu, an Adaptive Brand Management company founded in 1999.
AIOInsights provides a free point-in-time visibility evaluation and report, not continuous monitoring. It reports what was publicly observable on the date it ran, and running it again later produces a new reading rather than a tracked history. A separate paid product, the AIOInsights Tracker, asks ChatGPT, Perplexity, Gemini and Claude your customers' questions every week and reports monthly how often you are recommended, for $20 a month. Ongoing AI visibility tracking, reporting, prioritization and implementation are provided by Digilu through The Observatory.
No. AIOInsights evaluates signals that influence AI discoverability and trust. It does not guarantee placement in any AI system's recommendations. No platform can make that guarantee. AIOInsights provides evaluation and strategic direction: identifying where trust visibility gaps may be limiting your business's discoverability and what signals can be improved.
The free Trust Visibility Check generates a Trust Visibility Score from 1 to 10, identifies one primary trust issue detected based on your business information, explains why that issue matters for AI-era discoverability, and provides one strategic recommendation. The full evaluation reviews all six trust visibility pillars in depth: semantic clarity, entity consistency, authority, AI discoverability, trust, and local presence.
AIOInsights is built and operated by Digilu, an Adaptive Brand Management company founded in 1999. The experience behind it is not what you are asked to trust: the whole rubric is published and versioned, so every signal the engine scores can be checked against the published rules and the same site scored twice returns the same number.
Yes. The check is free, asks for no email and needs no account. Each domain gets two free evaluations; after that, a business can unlock two more, once, by telling us what it changed. Nothing on the report is held back for an email: the email box exists only so you can keep the report.
No. It does not query any AI system and does not report whether one of them names you. It checks the public signals those systems read when they decide what a business is and whether to trust it. The paid AIOInsights Tracker asks the systems directly, every month, and keeps the verbatim answers.
AIOInsights is one of five connected AIO engines. See how they fit together.
See what AI can understand and verify about your business
Forty-one publicly observable signals across six pillars. Your score, your strongest signals, and the one issue worth fixing first.