AIO Insights shows what AI can understand and verify about your business.
AIOInsights scans 41 publicly observable signals across six trust visibility pillars. See your score, your strongest signals, and the highest-priority issue limiting how clearly modern discovery systems can interpret your business.
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.
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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.
One platform, specialized engines
AIOInsights is where you run checks and read reports. Behind it, specialized engines do the work: AIOTruth evaluates and verifies, AIOStory compares, AIOWeather forecasts, and AIOFacts defines the standards. Digilu implements and takes responsibility from there.
The Trust Visibility Check is the primary AIOTruth evaluation. Content Credibility and WebMCP Readiness are additional AIOTruth evaluation types, not separate products.
Runs on your live site · Email required · No account needed
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.
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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.
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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.
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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.
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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.
Google now tells you whether you were shown. Not whether you were understood.
In June 2026 Google gave Search Console a generative AI performance report: impressions, pages, countries and devices from its own AI surfaces. It is worth having, it is free, and it answers a different question than this one.
What Search Console gives you
Search Console gives you a count of how often Google's AI features displayed a link to your site, broken down by page, country, device and date. That is real exposure data, first-party, and nobody had it before.
It stops there on purpose. There are no clicks, no click-through rate, no average position and no query data, so you cannot see what you were the answer to or what the appearance was worth. It also covers Google alone: nothing from ChatGPT, Claude, Perplexity, Copilot or the Gemini app.
The full reference on AIOFacts, sourced and dated.
What this check gives you
The layer underneath the number. Forty-one observable signals across six pillars, showing whether an AI system can resolve who you are, verify what you claim, and represent your business correctly.
An impression is the outcome. Entity clarity, structured facts, trust signals and retrievable content are what produce it, and they are the part you can actually change. That is why a low impression count on its own tells you that something is wrong but not what.
Run the free check and read the evidence behind each signal.
Together, not instead: use Search Console to watch Google exposure over time, and use this to understand the signals driving it. Neither replaces the other, and any tool claiming to measure your visibility inside a private AI assistant is claiming access nobody has.
A result tells you where you stand. Digilu takes responsibility from there.
AIOInsights evaluates the public signals as they are today. The Observatory keeps watching them. Digilu carries the level of responsibility you choose, and no more than that.
Adaptive Brand Management: Digilu manages your digital brand and shows what changed. · Adaptive Brand Management gets the work done. Fractional CMO leads the work.
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.
What AIOInsights claims, and what it does not
- AIOInsights does
- Evaluate publicly observable signals that search and AI systems can access and use when interpreting a business, and report them the same way every time.
- AIOInsights does not
- Query the internal recommendation systems of ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews or any other platform, or predict, guarantee or measure whether one of them will recommend you.
- It also does not
- Score anything it could not retrieve. An unreachable or blocked site returns the reason and no number, never an estimate.
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
The gap it found, and the fix it named
Trust scored zero. The homepage shows no reviews or testimonials and publishes no rating in its structured data, so there is nothing for an AI system to read as evidence of reputation. The report's single priority fix: if the ratings are your own, publish them with AggregateRating schema; if they live on a platform you do not control, keep them visible on the page and link the source instead of republishing them as your own data.
For a free tool with no review base, the honest position is that this stays a gap until there are real reviews to show. We will not invent them to move our own number, and the check would not reward it if we did: a rating with no source behind it is exactly what it is built to question.
What else it flagged
Two notes you would get too. Our schema's sameAs links point only to profiles we run ourselves, with no identifier someone else maintains, such as a Wikidata entry. And the page links to no third-party source, such as press, a directory or a registry profile, that an AI could verify us against. Both lower confidence without changing what the site says. One more finding is recorded as unmeasured rather than as a failure: the public entity databases did not respond during the run, so that part of the check affected nothing.
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.
Yes. AIOInsights and AIO Insights are the same product. The official brand is AIOInsights at aioinsights.com, a free AI visibility check built by Digilu. It is the same whether you write it as one word, AIOInsights, or two words, AIO Insights.
No. Several search marketing platforms use a similar phrase for reports on Google AI Overviews: how often a tracked keyword triggers an AI Overview and which sites it cites. Those reports are useful for search teams watching thousands of keywords. AIO Insights at aioinsights.com is a separate, independent product, built and run by Digilu. It does not track keywords and it does not query AI platforms. It reads one business website and scores 41 publicly observable signals that decide whether an AI system can understand and verify that business, then names the single fix that matters most. If you want to know whether AI can read and trust your business, this is the tool. If you want keyword-level AI Overview share at scale, a search marketing suite is the better fit.
Indirectly. AIOInsights does not query Google AI Overviews or any other AI platform. The free check evaluates the trust, clarity, entity consistency, and authority signals on your site that AI search systems, including AI Overviews, ChatGPT, and Perplexity, can read when they interpret a business.
Trust Visibility is the measurable clarity, credibility, consistency, and authority that influences whether modern search and AI systems confidently understand and represent a business. It encompasses semantic clarity, entity consistency, authority, AI discoverability, trust, and local presence. It goes beyond traditional SEO rankings to address how AI systems interpret and act on brand identity.
No. AIOInsights is not an SEO tool. Traditional SEO focuses on ranking signals: backlinks, keyword optimization, and technical page performance. AIOInsights evaluates trust visibility: the clarity, consistency, authority, and brand signals that influence how AI discovery systems interpret and recommend a business. These are related disciplines, but they measure different things.
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.
After receiving your free Trust Visibility Score, you can request a Full Trust Visibility Evaluation directly from the results page. Complete the full contact form and a Digilu strategist will conduct a deeper review of your brand's clarity, authority, and AI-era visibility signals. The full evaluation is conducted through Digilu and includes a strategic consultation.
AIOInsights is for businesses that need to know how AI and search systems currently understand them. It is designed for the owner or marketer responsible for one business and its own domain, not for bulk reporting: the evaluation runs on a single site at a time and the result is written to be read by the person who can act on it.
The problem is that you cannot see yourself the way a machine does. Search and AI systems build an understanding of a business from signals that are publicly observable but almost never checked, and nothing tells you when that understanding has gone wrong, gone stale, or was never complete.
An evaluation runs while you wait, in one session. It requests your homepage once the way a crawler would, reads your robots.txt, sitemap.xml and llms.txt, scores the six categories and returns the report. Nothing is installed, nothing is scheduled, and there is no waiting period.
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.
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.