Different companies. Different broken chains. One framework finds them.
Every B2B company invisible to AI is invisible for a structural reason. The Algorithmic Authority Stack diagnoses across seven layers and identifies the weakest chain. These cases show how different the failures look across industries, business models, and AI platforms.
Most companies guess wrong about why AI cannot find them.
They start with tactics. More content. More schema. More backlinks. More AI search optimization. None of it works because the foundation underneath is broken.
Tactics applied to a broken foundation make the problem worse. Every new piece of content amplifies the wrong signal. Every backlink reinforces the misclassification. Every schema fix attaches to the wrong identity.
The Snapshot tests all seven layers of the Algorithmic Authority Stack and identifies the weakest chain. Different companies fail at different layers. These case studies show the range.
Click any layer to read the diagnostic guide.
Decades of market leadership. AI recommends the newcomer instead.
L1 · Identity FragmentationBuyers already trust them. Analysts already cite them. Ask AI to recommend a vendor and it names a competitor with a fraction of their history. The audit found two reasons why. They fixed the one on their own website.
See the Industrial B2B category data on the Index: 120 vendors, 84% invisible.
Same company. Same playbook. 47-point citation gap.
L1 · Entity FoundationOne product line reached 58% AI-answer presence. The other stalled at 11%. Identical Reddit amplification across both. The difference was not content. It was whether AI could classify the business before the content arrived.
Press in BBC, Daily Mail, Tatler. Invisible in AI answers.
L1 · Polyglot PenaltyThe brand name collides with a high-frequency English word. AI reads the brand as a refusal, not a haircare company. No category context in the entity surface. Press visibility never translates into citations.
Identity layer worked. Editorial authority did not.
L4 · Training-Ready ContentSolid baseline identity work. Strong transactional surface. The cited competitors run editorial libraries ten times deeper. AI synthesis pulls from extractable editorial, not retail catalogs. A category policy ceiling sits on top.
The clear national leader. Ask about one city, and they disappear.
L5 · Surface DependencyNamed first on every platform, nationally. Add one city to the same question, and a smaller competitor with local reviews takes the slot. National reputation and local proof turned out to be two different questions.
Professional Services is next in the Index queue. This case is what that data will confirm at scale.
They rebuilt the pitch. AI only learned it in their own words.
L3 · Semantic DriftAsk in their language, and AI names them first, ahead of the industry giant. Ask the way a buyer actually describes the problem, and AI names five companies from a different industry instead.
They built something patented. AI calls it something generic.
L1 · Positioning AbstractionThe product does what commodity tools can’t. Ask AI what it is, and it lists them beside the generic tools it beats. The patent never enters the answer.
These cases are the anecdotes. The Index is the data.
Every case above is one company, diagnosed individually. The Algorithmic Authority Index runs the same seven-layer framework at category scale: whole industries, dozens of vendors, the same three platforms. Four industry snapshots are published. Two more are in queue.
Martech & RevOps and Professional Services are next in the queue. Apply to prioritize your industry →
Wave 1 tested 20 companies individually. Wave 2 tested four full industries and found 73% to 86% of vendors invisible across every one. Across both waves, the dominant failure was Citation Invisibility: Layer 4 failed universally.
These seven cases span Market Identity Clarity, Semantic Density, Training-Ready Content, and Touchpoint Presence. No case here has a clean primary failure at Expertise Architecture, Trust signals, or Visibility Measurement. The next case will be added when the Index surfaces one there. The library does not stretch the data to fit.
Want yours diagnosed? Run the Snapshot.
The AI Visibility Snapshot runs your company through the same diagnostic. You receive a written finding within 48 hours: whether AI cites you, the layer breaking first, and the structural reason. $497.