Agent View
The site as an AI agent gets it, beside the site as a person sees it. What it can read, what it has to cut away, and what it never sees.
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reCAPTCHA # Housing Affordability Policy Playbook December 1, 2025 min read Share Want to stay in the know on Public Policy? In this month's Policy Pulse, Pennymac's Isaac Boltansky cuts through the political noise with a definitive Housing Affordability Policy Playbook. Isaac separates the real solutions from the distractions to identify the specific levers-both good and bad-that can actually move the needle. Inside the issue: - **Helpful solutions for Supply and Mobility:** Kev proposals addressing the core drivers of the housing crisis, from reforming the Capital Gains Exclusion to scaling factory-built housing. - **Policy Pitfalls to Avoid:** A clear breakdown of why some recent proposals, like portable mortgages and lowering LLPAs on investor properties, could hinder, rather than help, the nation's push for housing affordability. [Read Policy Pulse Now](https://www.pennymac.com/assets/documents/policy-pulse-december-2025.pdf) Share Categories [public policy](https://www.pennymac.com/blog/tag/public-policy) ## Related articles [Public Policy A Meaningful Recalibration for Mortgage Markets In this Policy Pulse, Pennymac Head of Public Policy Isaac Boltansky breaks down the federal banking agencies' capital proposal and its implications for a healthier, more collaborative housing finance ecosystem. June 17, 2026 Read More](https://www.pennymac.com/blog/policy-pulse-june-2026) [Public Policy Analyzing a Meaningful Month for Mortgage Policy In this Policy Pulse, discover why the regulatory pendulum in Washington is shifting, and how landmark developments are modernizing the homebuying lifecycle. April 3, 2026 Read More](https://www.pennymac.com/blog/policy-pulse-april-2026) [Public Policy Op-Ed: A blueprint for making housing more affordable David Spector, Chairman and CEO of Pennymac, argues that affordability is a structural supply problem that requires updating outdated tax codes and incentivizing "by-right" zoning approvals to unlock inventory. January 27, 2026 Read More](https://www.pennymac.com/blog/op-ed-blueprint-for-making-housing-more-affordable)
An agent gets this page whole: its own text is in the HTML the server sends.
The figures
100 pages, set against the 167,893 sites with figures.
- Readablehigher is better
- 100%100 of 100 pages
- All 167,893 sitesBetter than 47%
Pages whose own text is in the HTML the server sends, enough of it for their kind.
- Cleanhigher is better
- 67%middle page
- All 167,893 sitesBetter than 45%
Of the words before script, the share that are the page and not menus, footer and forms.
- Costshown, never scored
- 344,496tokens
- About 3,445 a page
To read every page once. A long page that answers well is not worse for it. Tokens are estimated at about 4 characters each.
How its pages spread on Clean
100 pages measured.
Against its rivals
The sites nearest it by what they do, with figures. Close means similar work, not better.
No site near it by what it does has figures yet.
AI crawler access
What robots.txt says to each, as read on October 24, 2026. 8 of 8 may read the site.
| Crawler | robots.txt says | Used for | The line that decides |
|---|---|---|---|
| GPTBotOpenAI | Not named | Training models | Falls to User-agent: * |
| OAI-SearchBotOpenAI | Not named | ChatGPT search | Falls to User-agent: * |
| ChatGPT-UserOpenAI | Not named | A page a person asks about | Falls to User-agent: * |
| ClaudeBotAnthropic | Not named | Training models | Falls to User-agent: * |
| Claude-SearchBotAnthropic | Not named | Claude’s search | Falls to User-agent: * |
| PerplexityBotPerplexity | Not named | Perplexity search | Falls to User-agent: * |
| Google-ExtendedGoogle | Not named | Training Gemini | Falls to User-agent: * |
| bingbotMicrosoft | Not named | Bing and Copilot | Falls to User-agent: * |
Every AI crawler mttr checks may read it. Not named means the rules for every crawler apply.
Every page
Worst first. Each opens in Agent View at the top.
No page loses anything an agent needs.Open the action plan
Show where it stands
A card, a badge and a line, each with the figures.
A badge for the site
<a href="https://mttr.si/agent-view/pennymac.com"><img src="https://mttr.si/agent-view/pennymac.com/badge.svg" alt="Agent View: 100% readable, 67% clean" height="20"></a>
The figures in one line
pennymac.com in Agent View: 100% of pages readable, better than 47% of sites; 67% clean; 344,496 tokens to read all 100 pages. mttr.si/agent-view/pennymac.com
What to do next
Fix the pages, let an agent do it, and read the site again to see the figures move.
Fix what agents miss
No page loses anything an agent needs. The action plan has the site’s other fixes.
Open the action planConnect your agent
Claude Code, Codex or Cursor reads the site’s fixes over MCP, fixes a page in your code, has mttr read it again, and checks the fix landed.
https://mttr.si/mcpSet up an agent
Claim the site
Prove it is yours with a DNS record or a file. Your agent can then reach its reads and jobs, and set each change to wait for your approval.
Claim the siteDrawn from the HTML mttr fetched on its read of October 24, 2026, not a screenshot, and only from the 100 pages read, where the read stopped at its page limit. An assistant’s own reader may differ. Tokens are estimated at about 4 characters each. A site an agent reads well is not a site an assistant cites.