- Visibility0
- Citations0
- Sentiment50
- Site quality87
- AI readiness7
AI assistants do not name MicroStrategy in any of their 60 answers, while the typical company in its sector is named in 10% of answers. Its overall score is 25 out of 100, ranking 1,842nd of 2,047 companies. The website passes 1 of 14 technical checks for readiness with AI tools.
We asked 15 unbranded questions about the technology market: none named MicroStrategy. AI assistants named it in none of 60 answers. The typical technology company is named in 10.0% of answers. By how often it is named, MicroStrategy ranks 236 of 273 in its sector.
Named fewer than three times in total. Read this as a sign that AI assistants rarely bring this company up, not as an exact comparison with its rivals.
Every dot is a company in the study. Hover one to see it; click to open its report.
This companySame sectorEvery other companyNever named
Five parts, each scored out of 100.
How often AI assistants name the company
How often AI uses the company's own website as a source
How positively AI describes the company
How well built the website's own pages are
How easily AI tools can read and use the website
Visibility is calculated from the answers on this page. How the score is built.
273 companies in this sector. The line on each bar is the typical company.
The company is not named in this answer
“Typical pricing models for enterprise semantic layer and analytics platforms”
I'll search for information about pricing models for enterprise semantic layer and analytics platforms.Based on current market research, here are the typical pricing models for enterprise semantic layer and analytics platforms:
Common Pricing Approaches
Per-Seat/Per-User Licensing
Enterprise subscription models with per-creator licensing are common, with costs around $1,000/year per creator user. Power BI's semantic model pricing ranges from approximately $10 to $20 per user per month.
Deployed Logic/Metrics-Based Pricing
Rather than charging for users, queries, or consumption, s …
The AI’s answer as we received it, shortened and not checked for accuracy.
How the mentions in these answers were split between this company and its rivals
Answers naming it, out of answers received
What this website publishes for an AI agent to read, use and buy from, on a scale of six levels.
- 0
- 1
- 2
- 3
- 4
- 5
Level 0: Not yet agent-ready. Agents struggle to find basic information about the site.
- 2 of robots.txt, Sitemap, Link headers
The website turns away requests that do not come from a browser. AI agents that say what they are meet the same refusal.
Show every check, for your technical teamHide the checks
- study: 92.0%robots.txtNot met
Publish a valid robots.txt with crawl rules and a Sitemap line.
- study: 86.8%SitemapNot met
Serve an XML sitemap and reference it from robots.txt.
- study: 0.3%Link headersNot met
Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.
- study: 5.5%DNS for AI DiscoveryNot present
Advertise agent endpoints with SVCB records under _agents.
- study: 1.9%Markdown negotiationNot met
Return a markdown version when asked with Accept: text/markdown, for example at the CDN.
- study: 25.1%llms.txtNot met
Publish an llms.txt with a short summary and the key links.
- study: 93.4%AI bot rulesNot met
Add explicit robots.txt groups for the main AI crawlers.
- study: 1.4%Content SignalsNot met
Add a Content-Signal line for search, ai-input and ai-train to robots.txt.
- study: 0.2%Web Bot AuthNot present
Only relevant if you run your own agents or crawlers: publish a signing key directory.
- study: 0.3%API CatalogNot met
List public APIs in a linkset at /.well-known/api-catalog.
- study: 11.8%OAuth discoveryNot met
Publish OpenID Connect or OAuth server metadata under /.well-known.
- study: 10.3%OAuth Protected ResourceNot met
Serve protected resource metadata at /.well-known/oauth-protected-resource.
- study: 0.0%auth.mdNot met
Publish an auth.md describing how agents sign in.
- study: 0.2%MCP Server CardNot met
Offer an MCP server and publish its server card under /.well-known.
- study: 0.1%A2A Agent CardNot met
Publish an agent card at /.well-known/agent-card.json.
- study: 0.2%Agent SkillsNot met
Publish a skills index with the main tasks agents can do.
- study: 33.7%WebMCPCould not check
Register key actions such as search or cart as WebMCP tools.
- study: 0.1%ARD manifestNot met
Publish an ai-catalog.json listing every agent interface.
Score 0 of 100 · 97% of checks could run · checked on October 5, 2026 · www.microstrategy.com · 2,047 companies scanned
1 of 14 passed. This list is for your technical team. The percentage is how many companies in the study pass each check.
These 14 checks ran during the audit and are what the AI readiness part of the overall score counts. The scan above ran later and is stricter on Link headers and Markdown, so a check can pass here and not there.
Show the 14 checksHide them
- Not metrobots.txt publishedstudy: 85.0%
- Not metXML sitemapstudy: 73.2%
- Not metHTTP Link headers (RFC 8288)study: 29.0%
- Not metMarkdown content negotiationstudy: 8.3%
- Not metllms.txt publishedstudy: 21.7%
- PassedToken budget (page weight)study: 95.2%
- Not metExplicit AI bot rulesstudy: 13.0%
- Not metAPI Catalog (.well-known/api-catalog)study: 0.2%
- Not metOAuth Authorization Server discoverystudy: 10.1%
- Not metOAuth Protected Resource discoverystudy: 9.3%
- Not metMCP Server Cardstudy: 0.0%
- Not metA2A Agent Cardstudy: 0.0%
- Not metWebMCP toolsstudy: 4.2%
- Not metAgent Skills declaredstudy: 0.0%
How many times each website was listed as a source in these answers
In the study as US-listed.
- Common issues when integrating a semantic layer with multiple data sources
- Is investing in an enterprise universal semantic layer platform worth it for a large organization?
- Typical pricing models for enterprise semantic layer and analytics platforms
- What should I consider before choosing a governed analytics solution for my company?
- How do organizations unify business metrics for consistent decision-making with semantic layers?
- How much does it cost to deploy a company-wide governed analytics solution in the US?
- Best way to deliver trusted AI-driven reporting across all business units
- Differences between centralized semantic layers and decentralized analytics platforms
- Alternatives to universal semantic layers for unified data analytics
- What can enterprises use instead of a centralized semantic layer for trusted AI analytics?
- Open-source options for governed data analytics platforms aimed at large organizations
- What are the best enterprise semantic layer platforms for unified data governance?
- How does a universal semantic layer compare to traditional BI tools for enterprise analytics?
- How to fix inaccurate business metrics in enterprise analytics platforms
- Top analytics solutions for organizations needing governed AI across all teams
Columns, left to right: OpenAI, Claude, Perplexity, Gemini. The AI assistants often disagree. Across the study, on 40% of the questions where a company is named, only one of the four names it.