- Visibility11
- Citations1
- Sentiment58
- Site quality80
- AI readiness29
AI assistants name InterDigital in 10% of answers, which matches how often the typical company in the technology sector is named. Its overall score is 31 out of 100, ranking 1,115th of 2,047 companies in the study. The company's website passes 4 out of 14 technical checks for AI tool readiness.
We asked 15 unbranded questions about the technology market: none named InterDigital. AI assistants named it in 6 of 60 answers (10.0%). The typical technology company is named in 10.0% of answers. By how often it is named, InterDigital ranks 132 of 273 in its sector.
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.
An answer that names the company
“Best sources for advanced video technology licensing to support next-gen streaming projects?”
For advanced video technology licensing in next-gen streaming, the strongest sources in your results are Avanci Video, Access Advance, and Via Licensing Alliance because they specifically offer multi-patent or pool-based licensing for modern video codecs and streaming distribution technologies. If you also need broader implementation patents beyond codecs, InterDigital and Nokia are relevant supplemental sources.
Avanci Video: A one-stop licensing platform for internet video technologies used by streaming providers, covering AV1, H.265/HEVC …
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 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.
- Content Signals
Show every check, for your technical teamHide the checks
- study: 92.0%robots.txtPassed
A valid robots.txt with crawl rules at the site root.
- study: 86.8%SitemapPassed
An XML sitemap listing the pages, ideally referenced 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 rulesPartly 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 25 of 100 · 97% of checks could run · checked on October 5, 2026 · www.interdigital.com · 2,047 companies scanned
4 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
- Passedrobots.txt publishedstudy: 85.0%
- PassedXML 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%
- PassedExplicit 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%
This website sets rules for 12 AI crawlers by name. All others follow its general rules.
- GPTBot*blocked
- ClaudeBot*blocked
- Anthropic-AI*blocked
- Google-Extended*blocked
- Applebot-Extended*blocked
- Meta-ExternalAgent*blocked
- FacebookBot*blocked
- Bytespider*blocked
- CCBot*blocked
- Diffbot*blocked
- Omgilibot*blocked
- OAI-SearchBotpartly
- Claude-SearchBotpartly
- PerplexityBotpartly
- Applebotpartly
- Amazonbot*blocked
- YouBotpartly
- ChatGPT-Userpartly
- Claude-Userpartly
- Perplexity-Userpartly
- DuckAssistBotpartly
- MistralAI-Userpartly
Read from the website’s own rules file (robots.txt). An asterisk marks a crawler the file names. The rest follow its general rules. “Partly” means only some pages are blocked.
How many times each website was listed as a source in these answers
In the study as US-listed.
- Alternatives to standard-essential patent licensing for accessing advanced video streaming innovations?
- How do licensing fees for 6G research breakthroughs compare to older wireless technologies?
- Best sources for advanced video technology licensing to support next-gen streaming projects?
- How does wireless technology R&D differ from video technology R&D in terms of industry standards and innovation cycles?
- How can a device manufacturer ensure compliance when implementing licensed wireless technologies?
- What should an enterprise do if it suspects a patent infringement issue with video coding technology?
- Is it worth investing in third-party 5G standards-essential patent licenses for a telecoms rollout?
- How are edge AI solutions being integrated into advanced connected devices?
- Top R&D trends influencing wireless, video, and AI technology development this year?
- What are the typical cost structures for licensing next-gen wireless and video technology patents in the US?
- What are the leading wireless R&D licensing firms in the United States?
- Non-licensing options for companies seeking to implement proprietary AI in telecommunications networks?
- AI technology licensing vs traditional telecom patent licensing—what are the main differences for enterprises?
- Should tech OEMs consider direct licensing of AI algorithms for mobile edge computing applications?
- Use cases for AI-powered enhancements in next-generation wireless networks?
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.
A badge of this result that you can show on your own website. Copy the code below.
<a href="https://aeo-audit.rezolve.com/us/interdigital.com"><img src="https://aeo-audit.rezolve.com/us/badges/interdigital.com.svg" alt="Overall score 31 of 100, US AI Visibility Study 2026" width="280" height="64"></a>