LLM Override
Make your content accessible and accurate for AI systems. The compliance-first GEO optimization toolkit for WordPress.
Solid choice
LLM Override is a solid plugin choice in 2026, with a few things worth checking first. It runs on 20+ sites and was last updated 2 months ago, and scores 63/100 on our health check.
- Tested with the latest WordPress (7.1)
- Momentum — downloads up 33.5% vs the previous 30 days
- Small user base (20+ active installs)
- Very few reviews so far
- Needs PHP 8.1 or newer
How does it stack up?
Side-by-side on installs, updates, ratings & supportDaily downloads
Download spikes usually follow a new release — each site that auto-updates counts as a download.
Rankings
Where LLM Override stands todayWordPress.org search rankings
Live position in the plugin search, top 100| Keyword | Position |
|---|---|
| ChatGPT | >100 |
| geo | >100 |
| LLM | #30 |
| markdown | >100 |
| seo | >100 |
Version adoption
Share of active sites per release.
About LLM Override
From the official readme · v1.2.3Description
The AI era has a problem: ChatGPT, Claude, and Perplexity are making up facts about your brand.
They crawl your raw HTML — a format built for humans — and hallucinate the gaps. Traditional SEO
cannot fix this. A static sitemap cannot fix this. LLM Override fixes this.
LLM Override is a Machine-to-Machine (M2M) interception engine for WordPress. It speaks the
language AI crawlers actually understand: clean, structured Markdown with semantic context — served
in real time, directly from your site, without modifying a single page.
How AI systems read your content
Most AI tools for WordPress generate a list of URLs. That tells an AI crawler where your content
is. LLM Override tells AI crawlers what your content means — making your brand accurately
represented across AI-powered search engines.
When a bot visits your page, LLM Override intercepts the request before WordPress renders any HTML,
and responds with a structured Markdown payload containing:
- Your content, cleaned of scripts, ads, and UI noise
- A YAML frontmatter block with your canonical title, URL, and last-updated timestamp
- Your Site Manifest — verifiable organization facts included in your /llms.txt
This is Generative Engine Optimization (GEO): making your content accessible and accurately represented to AI systems.
How it works
- LLM Override adds a
<link rel="alternate" type="text/markdown">tag into your page<head>. - An AI crawler discovers this link and follows it — that’s the standard Content Negotiation protocol.
- It appends
?view=rawto your URL and sends the request. - LLM Override intercepts at the WordPress routing layer — no HTML is rendered, no theme loads.
- The crawler receives clean, semantic Markdown. Accurate content. No hallucinations.
Your human visitors never see any of this. Their experience is unchanged.
Core Features (Free)
M2M Interception Engine
✅ Intercepts AI bot requests via ?view=raw — works on any page, any post type
✅ Converts HTML to clean Markdown using league/html-to-markdown
✅ Strips <script>, <style>, <iframe>, and empty elements before conversion
✅ Disables page caching (WP Rocket, LiteSpeed, W3TC, Cloudflare) for M2M requests to guarantee fresh content
✅ Adds X-Robots-Tag: noindex to Markdown responses to prevent duplicate content flags
✅ Adds X-Content-Processing transparency header declaring conversion method and source
✅ Adds YAML frontmatter: title, canonical URL, last modified date, plugin version
Content Rules
✅ Site Manifest — provide verifiable organization facts in your /llms.txt site manifest
llms.txt Standard Compliance
✅ Dynamic /llms.txt endpoint — always current, zero static files, works on any hosting
✅ Extended /llms-full.txt endpoint — includes content snippets for deeper AI context
✅ Semantic Blockquote — select a global context page via UI to auto-generate the site manifest
✅ Link Grouping — automatically categorizes links by post type (Pages, Optional, etc.) per llmstxt.org specs
✅ Both endpoints automatically respect noindex rules from Yoast SEO, Rank Math, SEOPress, and AIOSEO
✅ Announces /llms.txt in your robots.txt for passive bot discovery
✅ <link rel="alternate" type="text/markdown"> auto-injected into every page <head>
Precision Control
✅ Native WordPress metabox on every post/page: exclude from AI manifests or override the M2M payload manually
✅ “View as AI” button in the WordPress Admin Bar: see exactly what any AI bot receives from any page
Shadow Analytics Lite
✅ Tracks global M2M interception hits with a simple counter in your dashboard
✅ GDPR-compliant: IP addresses are hashed daily, never stored in plain text
✅ Detects 58 known AI bots across 4 categories (Training, Query, Discovery, Scraping)
Enterprise Sanitization
✅ Strips Unicode corruption before delivery: BOM markers, Zero-Width Spaces, Non-Breaking Spaces, Soft Hyphens — the exact characters that cause parser errors in ChatGPT and Claude
✅ Transient-based caching (12-hour TTL) for endpoint performance — with one-click AJAX flush
Developer API
✅ 14 documented action/filter hooks for extending behavior without modifying plugin files
✅ Clean OOP architecture with full Composer autoloading
Built to WordPress standards
LLM Override is developed following strict WordPress coding standards. Every function prefixed,
every output escaped, every database query prepared, every nonce verified. No direct filesystem
operations. No raw SQL injection. No short PHP tags.
The plugin passes the official WordPress Plugin Check tool with zero errors and zero warnings.
LLM Override Pro — Industrial-scale GEO
The free version covers the complete core M2M engine. Large sites and agencies need scale.
Pro unlocks:
* 🤖 AI Copilot — per-post AI-generated Markdown with custom personas (GPT, Claude, DeepSeek, OpenRouter via BYOK)
* ⚙️ Batch Accelerator — compile your entire site in the background via Action Scheduler, no timeouts
* 📊 Full GEO Analytics — granular telemetry: which bots, which pages, which entities were injected
* 🔬 Autopilot llms.txt — AI-drafted manifesto grounded in your actual content
* 🏢 Agency MCP Server — expose a full Model Context Protocol endpoint for external agent orchestration
GEO Compliance
LLM Override follows the principle of Content Faithfulness: everything served to
AI bots is a faithful representation of your visible web content, optimized for
machine consumption but never altered in substance.
- Content is converted from HTML to Markdown without semantic changes
- No content is added or removed from individual page responses
- Structured data (JSON-LD) is extracted directly from visible page content
- Full transparency via X-Content-Processing HTTP headers
- Content Faithfulness Score tracks parity between HTML and Markdown outputs
Installation
- Upload the
llm-overridefolder to/wp-content/plugins/. - Activate via the Plugins menu in WordPress.
- Go to LLM Override > Dashboard — your M2M engine is active immediately after activation.
- (Optional) Set your Site Manifest under LLM Override > Content Rules.
- (Optional) Review your
/llms.txtoutput and configure included post types under LLM Override > llms.txt Config.
No configuration is required for basic operation. The M2M interceptor works out of the box.
Frequently asked questions
What is GEO and why does it matter more than SEO right now?
SEO (Search Engine Optimization) optimizes for Google’s crawler — a bot that ranks pages and shows links. GEO (Generative Engine Optimization) optimizes for AI models like ChatGPT, Claude, and Perplexity — systems that synthesize answers and cite sources. The key difference: Google shows your page. AI answers replace your page with a summary. If that summary is wrong, your brand is damaged. GEO is how you control what that summary says.
What is M2M interception? Why not just use a sitemap?
A sitemap tells an AI where your URLs are. M2M interception controls what an AI receives when it visits those URLs. LLM Override sits between the AI crawler and your WordPress theme: when a bot requests your page, instead of getting raw HTML full of navigation, ads, and JavaScript, it receives clean, structured Markdown with your canonical facts already embedded. A sitemap is a phone book. M2M interception is the actual conversation.
Does this change anything for my human visitors?
Nothing. Human visitors always receive your normal WordPress theme. The M2M layer is invisible: it only activates when the ?view=raw parameter is present, which only AI crawlers following the standard will use. There is no redirect, no separate URL, no parallel site to maintain.
What is the difference between llms.txt and what LLM Override actually does?
llms.txt is a directory: a list of your important URLs. It helps AI crawlers discover your content. LLM Override does that (via the dynamic /llms.txt endpoint) — and then goes further: when the AI crawler visits each of those URLs, it receives a semantically structured Markdown payload, not raw HTML. The /llms.txt file is the door. M2M interception controls what happens inside the room.
Is /llms.txt a real file on my server?
No, and this is intentional. LLM Override generates /llms.txt dynamically on every request. This means it always reflects your latest published content — no stale data, no manual regeneration needed after publishing new pages. It also means it works on any hosting environment, including read-only filesystems and managed platforms, without requiring write access to your server root.
Does it work with WordPress VIP, Kinsta, WP Engine, or other managed hosts?
Yes. Because LLM Override never writes files directly to the filesystem, it is compatible with any hosting environment, including those with read-only or restricted filesystem access. The plugin uses only the WordPress Options API, Transients API, and WordPress Rewrite Rules — the standard APIs that work everywhere.
What is the Site Manifest?
The Site Manifest is a block of verifiable organization facts — your canonical brand description, key figures, certifications — that appears in your /llms.txt site manifest. Every time ChatGPT or Claude reads your site’s /llms.txt, it receives this factual summary as context. Write only verifiable facts that match your visible web content.
What is YAML frontmatter and why does it help?
YAML frontmatter is structured metadata placed at the very beginning of a Markdown document, in a format that AI models are specifically trained to parse and prioritize. LLM Override automatically adds frontmatter to every payload containing: your page title, canonical URL, last modified date, and your Corporate Manifest. This metadata is processed before the body content — giving you context control at the highest-priority position in the document.
What SEO plugins does it integrate with?
LLM Override automatically reads noindex and nofollow rules from Yoast SEO, Rank Math, SEOPress, and AIOSEO. Any page you have excluded from search engines in those plugins will also be excluded from your /llms.txt and /llms-full.txt manifests automatically — with zero manual configuration. The integration is implemented at the database level (direct wp_postmeta query) for maximum performance and zero dependency on those plugins being active.
What is the difference between /llms.txt and /llms-full.txt?
/llms.txt is a concise, standard-compliant manifest: titles, URLs, and M2M links for all your public content. /llms-full.txt is an extended version that includes a content snippet for each URL (truncated to 500 characters, sanitized Markdown) — useful for documentation sites, knowledge bases, or any site where giving AI crawlers an immediate content preview improves retrieval accuracy.
What does the “View as AI” button do?
It adds a button to the WordPress Admin Bar visible only to administrators. On any singular post or page, clicking it opens the raw M2M Markdown payload exactly as an AI crawler would receive it — including your YAML frontmatter and Site Manifest. It is an empirical verification tool: see exactly what you are serving, before you assume.
What AI bots does it detect?
LLM Override includes a dictionary of 58 known AI crawlers across 4 behavioral categories: Training bots (harvesting data for model training), Query bots (real-time RAG requests), Discovery bots (sitemap and manifest crawlers), and Scraping bots (unclassified AI traffic). Detection uses User-Agent matching on the template_redirect hook. Detected bots are automatically served Markdown without requiring the ?view=raw parameter.
Does this affect my SEO rankings?
No. LLM Override adds X-Robots-Tag: noindex to all M2M Markdown responses, which tells Googlebot and Bing to ignore them. Your standard HTML pages remain exactly as they are and continue to be indexed normally. LLM Override operates on a completely separate delivery channel that search engine crawlers do not follow.
Does it conflict with caching plugins?
No. LLM Override detects active caching layers (WP Rocket, LiteSpeed Cache, W3 Total Cache, FastCGI, Varnish, Cloudflare) and programmatically disables them exclusively for M2M requests. Your human visitors continue to be served cached pages normally. Only bot requests via the M2M channel bypass cache — by design, to guarantee fresh content delivery.
I am a developer. What hooks are available?
LLM Override exposes 14 documented hooks: Filters: llm_override_markdown_output — modify the final Markdown string before delivery llm_override_yaml_frontmatter — modify or extend the YAML frontmatter array llm_override_pre_convert_content — replace the raw HTML before conversion (used by Pro AI Copilot) llm_override_llmstxt_entries — filter the URL list before /llms.txt is rendered llm_override_excluded_post_ids — add custom exclusion logic for manifests llm_override_bot_user_agents — extend the bot detection dictionary Actions: llm_override_bot_detected — fires when a known bot is…
Is it GDPR-compliant?
Yes. Shadow Analytics Lite stores bot activity logs, but never in association with identifiable user data. IP addresses detected during bot interception are hashed using a daily-rotating salt before storage — making them non-reversible and non-identifiable. No data is transmitted to external servers in the free version.
Does it send data to OpenAI, Anthropic, or other AI companies?
No. The free version is entirely self-contained. It intercepts incoming AI crawler requests and serves them Markdown — it does not make any outgoing API calls to any AI service. The Pro version optionally connects to AI APIs (OpenAI, Anthropic, DeepSeek, OpenRouter) via keys you provide (BYOK — Bring Your Own Key). Those connections are explicitly initiated by you, and only transmit the content of the specific page being processed.
Changelog
Compatibility: Tested up to WordPress 7.1.
1.2.3
- Compatibility: Tested up to WordPress 7.1.
1.2.2
- Compatibility: Tested up to WordPress 7.0.
- Compatibility: Requires WordPress 6.9 minimum (Abilities API dependency introduced in this release).
- Compatibility: Requires PHP 8.1 (aligned with Composer platform requirements).
- Enhancement: Registered post meta with REST exposure and revision tracking for AI visibility fields — improves block editor and real-time collaboration compatibility in WordPress 7.0.
- Enhancement: Marked the AI Visibility metabox as block-editor compatible.
- Enhancement: Added WordPress Abilities API integration with three read-only GEO/M2M discovery abilities (
get-m2m-endpoints,get-page-m2m-url,get-post-visibility) for WordPress 7.0 AI agent infrastructure.
1.2.1
- Fix: Added Content-Type fallback for Google NotebookLM. NotebookLM is a User-Triggered Fetcher whose ingestion pipeline accepts
text/plainbut rejectstext/markdownfor web URLs. When LLM Override detects theGoogle-NotebookLMUser-Agent, it now servesContent-Type: text/plain; charset=utf-8instead oftext/markdown. All other AI crawlers continue to receive the RFC 7763text/markdownresponse. - Fix: Bot detection in
serve_markdown_response()now runs before header emission, enabling Content-Type selection based on the detected bot. - Enhancement: All five M2M endpoints (per-page, llms.txt cached/generated, llms-full.txt cached/generated) now perform inline bot detection to ensure the NotebookLM fallback applies universally.
1.2.0
- Enhancement: Content-Type header changed from
text/plaintotext/markdown; charset=utf-8per RFC 7763 — the official MIME type for Markdown documents. This aligns M2M responses with the HTTP specification and improves semantic identification by proxies and CDNs. - Enhancement: Added
Vary: Acceptheader to all Markdown responses. Informs CDNs and reverse proxies (Cloudflare, Varnish, Nginx FastCGI cache) that responses vary by theAcceptrequest header, preventing incorrect cache hits when the same URL serves HTML to browsers and Markdown to bots. - Enhancement: Added
X-Markdown-Tokensheader to all Markdown responses. Exposes an estimated token count (word_count × 1.33) so AI pipelines can make context-window budget decisions before downloading the full document. - Enhancement: Added
ReadAction(Schema.org) to the JSON-LD Semantic Enclosure on all singular pages. AI systems parsing the<head>JSON-LD now discover the?view=rawM2M endpoint through the standardpotentialActionproperty. The front page additionally advertises/llms.txtand/llms-full.txtdiscovery endpoints. - Internal: Reordered
serve_markdown_response()to assemble the full output before sending headers, enabling accurate token count calculation.
1.1.7
- Removed: Terminology Standardization engine. This feature introduced semantic divergence between HTML and M2M payloads, contradicting our core principle of content faithfulness. LLM Override now guarantees strict 1:1 parity between what humans read and what machines receive.
1.1.6
- Performance: Resolved critical AJAX timeout when regenerating llms.txt cache on sites with 1,000+ published pages. The admin stats engine now uses lightweight SQL COUNT queries (~2ms) instead of heavy WP_Query meta lookups that generated multiple LEFT JOINs on wp_postmeta.
- Performance: Optimized
/llms.txtand/llms-full.txtendpoint queries by disablingSQL_CALC_FOUND_ROWS(no_found_rows) and taxonomy cache preloading (update_post_term_cache), reducing memory usage and query time on large sites. - Performance: Fixed Dashboard KPI query that loaded all post IDs into memory unnecessarily. Now fetches only the count.
- Fix: Extended the safe shortcode stripping logic (introduced in 1.1.5 for the Content Pipeline) to all four remaining
strip_shortcodes()call sites in the llms.txt and llms-full.txt generators. Divi and WPBakery content is now preserved consistently across all endpoints. - Enhancement: llms.txt and llms-full.txt caches now auto-invalidate when any public post is published, updated, or trashed, eliminating up to 12 hours of stale content.
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LLM Override: quick answers
Straight answers, pulled from live WordPress.org data.
Live data from WordPress.org · checked Oct 17, 2026
Is LLM Override free?
Yes. LLM Override is free to download and use from the official WordPress.org plugin directory.
Is LLM Override safe to use in 2026?
LLM Override is a solid plugin choice in 2026, with a few things worth checking first. It runs on 20+ sites and was last updated 2 months ago, and scores 63/100 on our health check.
How many websites use LLM Override?
LLM Override is active on 20+ WordPress websites and has been downloaded 2,067 times since it launched in April 2026. It was downloaded 758 times in the last 30 days.
Does LLM Override work with WordPress 7.1?
Yes. The developer has tested LLM Override up to WordPress 7.1.3, the latest release. It requires WordPress 6.9 or newer.
What PHP version does LLM Override need?
LLM Override requires PHP 8.1 or higher. Most hosts run PHP 8.x today, so it works on any modern WordPress hosting.
When was LLM Override last updated?
The latest version, 1.2.3, was released on August 20, 2026 (2 months ago).
Who makes LLM Override?
LLM Override is developed and maintained by Fran Barbero.
What are the best alternatives to LLM Override?
The most popular alternatives to LLM Override are Social Sharing Plugin (100K+ installs), WPVibe (80K+ installs) and LocoAI (70K+ installs).
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