#technical guides
Cite Solutions briefs tagged technical guides. Newest first.
Can AI Agents Actually Book a Demo on Your Site?
Chrome auto-browse reaches 200M Android phones in late June 2026. If an AI agent cannot finish a booking on your site, you lose the sale silently.
Do AI Crawlers Actually Read llms.txt?
Across 500M+ AI bot visits, only 408 fetched llms.txt. Here is what AI crawlers really do with the file, and whether it is worth publishing.
Does Search Console Show Your AI Search Data?
Google Search Console is adding AI-search stats: impressions inside AI answers and which pages get cited. Here is what it shows and how to read it.
How to Build a Transparency Page That AI Cites
A 50,000-citation study found one transparency page lifted AI citations 24% on buyer-intent queries. Here is how to build a page engines quote and trust.
Does Content Structure Affect AI Citations?
New research changed only a page's structure, not its words, and AI citations rose 17.3% across six engines. Here is what to restructure first.
Should You Ship llms.txt If Google Says No?
Google Search says you do not need llms.txt. Google Lighthouse 13.3 audits for it by default. Here is which Google signal to follow in 2026.
How to Build a Prompt-to-Proof Coverage Matrix for Pricing, Comparison, and Trust Pages
Most GEO teams know which prompts matter and which page should win them. Fewer can point to the exact proof block that should support each answer. This guide shows you how to build that missing matrix.
Is ChatGPT-User Allowed in Your Robots.txt?
ChatGPT fetches pages with ChatGPT-User, not OAI-SearchBot. If your robots.txt blocks the wrong one, ChatGPT will not cite you. Here is the fix.
How to Run an AI Crawler Log Audit for GPTBot, ClaudeBot, and PerplexityBot
Most GEO teams rely on crawl tests, screenshots, and prompt checks. Fewer inspect the server logs that prove whether AI crawlers are actually reaching the money pages that matter. This guide shows you how to run that audit.
How to Build a GEO Prompt Regression Pack for Staging, Release Day, and 7-Day QA
Most GEO teams have a release checklist. Fewer have a compact prompt regression pack that proves the right page still wins the right answer before launch and during the first recovery week. This guide shows you how to build one.
How to Optimize for AI Retrieval, Not Just Rankings
Google's TurboQuant paper may quietly expand the AI retrieval pool past the top 30. Top-10 rankings won't predict citations. Here's what to fix now.
Should You Remove FAQPage Schema From Your Site?
Google killed FAQ rich results on May 7. The FAQPage schema itself is not deprecated, and it is now a primary AI citation signal across every major LLM.
How to Build a GEO Content Update Loop for Pricing, Implementation, and Support Changes
One approved change in pricing, onboarding, support, or integration scope rarely stays on one page. This guide shows you how to turn that change into a controlled GEO content update loop across the buyer-stage pages AI systems actually reuse.
How to Run a GEO Contradiction Audit Before AI Systems Quote the Wrong Claim
A page can be technically crawlable, well linked, and still lose trust if different parts of the site make different claims. This guide shows you how to run a contradiction audit that finds claim conflicts before AI systems quote the wrong version.
How to Run a GEO Page-Collision Audit When AI Systems Cite the Wrong URL
A brand can stay visible in AI answers while the wrong internal page keeps getting cited. This guide shows you how to run a page-collision audit, diagnose the failure pattern, and make the right URL easiest to retrieve and reuse.
How to Run an HTML Parity Audit for AI Retrieval on JavaScript-Heavy Sites
A page can look perfect in the browser and still fail AI retrieval if the answer, proof, links, or schema only show up after hydration. This guide shows you how to run the HTML parity audit that catches the gap.
How to Build a GEO Change Log That Connects Page Releases, Proof Updates, and Prompt Outcomes
Most GEO teams can see that something moved. Fewer can prove which release, proof update, or page change caused the movement. This guide shows you how to build the change log that makes attribution, QA, and weekly review far more useful.
How to Build Trust Center and Security Pages That AI Systems Cite During Enterprise Vendor Evaluation
Most trust centers are built for checkbox compliance, not buyer-stage retrieval. This guide shows how to structure security and compliance pages so procurement teams, in-house operators, and AI systems can actually find and reuse the answers they need.
How to Run a GEO Citation-Loss Root Cause Analysis: Retrieval, Evidence, and Answer-Format Checks
A page that used to win citations can slip for very different reasons. This guide shows you how to diagnose whether the real problem is retrieval, weak evidence, answer-format mismatch, or a stronger substitute source before you waste a sprint on the wrong fix.
How to Build a GEO Release Checklist for Template Changes, Schema Parity, and Prompt QA
Most teams QA page releases for rendering and rankings. Fewer QA whether template, schema, and content changes quietly break AI retrieval. This guide shows you how to build the release checklist that catches those failures before and after launch.
How to Build Implementation Guide Pages That AI Systems Cite During Vendor Evaluation
Most teams publish onboarding or implementation pages as an afterthought. This guide shows you how to turn them into high-intent assets that answer rollout questions, reduce buyer risk, and earn more citation value in AI search.
How to Run a Brand Mention Audit That Improves AI Citation and Recommendation Readiness
Most teams track whether AI mentions the brand. Fewer audit whether the right source mix exists for AI systems to classify, cite, and recommend that brand with confidence. This guide shows you how to run that audit.
How to Build a GEO Schema Deployment Matrix for Service, Pricing, Comparison, and Expert Pages
Most schema advice stops at validation. Strong GEO teams need a deployment matrix that maps each page type to the right markup, visible proof, and QA checks before structured data ships at scale.
How to Build a GEO Content Map That Matches Prompt Clusters to the Right Page Type
Most teams do not need more GEO content. They need a content map that matches prompt clusters to the right page type, target URL, proof layer, and QA loop. This guide shows you how to build it.
How to Build a GEO Evidence Ledger That Keeps AI-Cited Pages Fresh
Most teams know when an AI-cited page slips. Fewer know exactly which proof asset expired, who owns it, and where it needs to be updated. This guide shows you how to build a GEO evidence ledger that keeps answer blocks, pricing pages, case studies, and expert pages credible week after week.
How to Build a GEO Content Operations Workflow: Who Owns Prompt Loss, Proof Gaps, and Money-Page Fixes
Most GEO programs can spot visibility loss. Far fewer can route that loss to the right owner, ship the right fix, and prove the page won back the job. This guide shows you how to build the operating workflow that turns GEO signals into accountable execution.
How to Run a GEO Internal Linking Audit That Supports AI Citation and Conversion Pages
Most GEO teams audit prompts, pages, and schema. Fewer audit the links that connect proof assets to money pages. This guide shows you how to fix that with a practical internal-link workflow.
How to Protect AI Retrieval During a Site Migration: Redirects, Canonicals, and Prompt QA
Most site migration checklists stop at rankings and broken links. This guide shows you how to preserve AI retrieval during a migration by protecting page purpose, redirect logic, canonical control, proof assets, and post-launch prompt QA.
How to Build a GEO Content Refresh Queue From Prompt Loss, Citation Swaps, and Stale Proof
Most GEO teams can measure visibility loss. Fewer can turn that signal into a reliable update queue. This guide shows you how to build a weekly content refresh system from prompt loss, citation swaps, stale proof, and page-type mismatch.
A GEO Action Priority Framework: How to Decide What to Fix First
AI visibility data is only useful if it turns into ranked actions. This framework shows how to convert prompt coverage, citation gaps, source patterns, and page-level evidence into a practical GEO priority stack your team can actually execute.
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