AI Search Visibility Blog

Guides and original data on getting your brand named by ChatGPT, Gemini, Perplexity and Google AI Overviews.

Industries

Adding AI Visibility Reporting to Your Agency's Services

How agencies can package an AI visibility audit and monthly report: scope, deliverables, pricing, tooling, and what never to promise clients.

2026-10-23 · 6 min read
Industries

Restaurants in AI Recommendations: Menus, Hours and Reviews

How restaurants get named in ChatGPT and AI search: machine-readable menus, accurate hours, cuisine and area clarity, reviews, and local press.

2026-10-23 · 5 min read
Industries

Dental Practices in AI Answers: A Practical Playbook

How dental practices get named in AI answers: treatment pages, credentials, reviews, local schema, and the crawler rules that decide what AI can cite.

2026-10-21 · 6 min read
Industries

Law Firms and AI Search: Being the Firm ChatGPT Names

Practical steps for law firms to get named in ChatGPT, Gemini and Perplexity answers: practice-area pages, jurisdiction clarity, bios and bar-rule compliance.

2026-10-21 · 6 min read
Industries

AI Visibility for Online Stores: Product Data Beats Clever Copy

How structured product data, specs, availability and return policies shape AI shopping visibility for online stores, plus a practical schema checklist.

2026-10-19 · 6 min read
Industries

Local Businesses and AI Assistants: Getting Named in 'Near Me' Answers

How local businesses get named in AI 'near me' answers: consistent NAP, Google Business Profile, reviews, service-area pages, and LocalBusiness schema.

2026-10-19 · 7 min read
Industries

AI Visibility for SaaS: Getting on the Shortlist Buyers Ask AI For

How B2B SaaS brands get named when buyers ask AI for shortlists: crawler access, category and comparison pages, pricing clarity, third-party proof.

2026-10-16 · 6 min read
Off-site

Digital PR for AI Visibility: Getting Named in the Sources AI Trusts

A practical playbook for digital PR in AI search: find the domains AI cites for your prompts, pitch them with useful data, and measure results.

2026-10-16 · 7 min read
Off-site

Reddit, Forums and AI Answers: Earning Mentions Without Spam

How community threads end up as sources in AI answers, what disclosure rules require, how to participate as a named expert, and what gets accounts banned.

2026-10-14 · 5 min read
Off-site

How Reviews Shape AI Recommendations for Local and Product Searches

How review sites and customer reviews shape what AI assistants recommend, plus practical ways to earn and manage reviews without breaking platform rules.

2026-10-14 · 6 min read
Content

Original Research Is the Most Citable Thing You Can Publish

How to run small, cheap original research that earns citations in AI answers, using a 210-site robots.txt study as a worked example.

2026-10-12 · 6 min read
Strategy

Why AI Recommends Your Competitor Instead of You

A step-by-step diagnostic for when AI recommends a competitor but not you: five causes, how to tell which one applies, and what to fix first.

2026-10-12 · 7 min read
Content

Entity Consistency: Why AI Confuses Your Brand (and How to Fix It)

How inconsistent names, categories and facts across your site and profiles confuse AI assistants, and how to fix brand entity signals.

2026-10-09 · 6 min read
Content

Writing FAQ Sections That Double as AI Answers

How to write FAQ sections that get picked up by ChatGPT, Gemini and Perplexity: question wording, 40–80 word answers, and when FAQ schema helps.

2026-10-09 · 5 min read
Checklists

The AI Visibility Audit: A 30-Point Checklist

A 30-point AI visibility audit checklist for marketers: crawler access, entity clarity, answerable content, mentions, and measurement, with pass/fail tests.

2026-10-07 · 6 min read
Content

Comparison Pages That AI Assistants Actually Quote

Learn how to structure comparison pages that AI assistants quote: criteria tables, honest weaknesses, fit sections, and a dated template.

2026-10-07 · 5 min read
Engines

Does Claude Recommend Brands? How Claude's Web Search Works

Anthropic runs three crawlers: ClaudeBot, Claude-User, Claude-SearchBot. Here is what blocking each one does and how to check your robots.txt.

2026-10-05 · 5 min read
Engines

Gemini and Your Brand: How Grounded Answers Pick Websites

How Gemini's grounded answers choose sources, what Google-Extended actually controls, and a practical checklist for earning Gemini citations.

2026-10-05 · 5 min read
Engines

Google AI Overviews vs ChatGPT: Two Different Games

AI Overviews run on Googlebot and the Google index. ChatGPT search uses separate crawlers. Here is which levers actually move each one.

2026-10-02 · 5 min read
Engines

Getting Cited by Perplexity: What Its Answers Reward

How Perplexity picks and cites sources, what PerplexityBot and Perplexity-User actually do, and how to test whether your brand gets named.

2026-10-02 · 6 min read
Technical

Schema Markup for AI Search: Which Types Are Worth Your Time

Schema markup for AI search: what Organization, Product, LocalBusiness, FAQPage and Article tell machines, with JSON-LD examples and Google's content-match rule.

2026-09-30 · 6 min read
Measurement

Share of Voice in AI Answers: How to Calculate It

Learn how to calculate AI share of voice across prompts and engines, with a worked example and a simple formula you can run in a spreadsheet.

2026-09-30 · 6 min read
Measurement

Choosing the Prompts to Track: A Method, Not a Guess

Build a prompt tracking set from four intents, keep it brand-free and stable, and retire prompts without losing your baseline.

2026-09-28 · 7 min read
Measurement

How to Measure AI Visibility Without Fooling Yourself

A practical guide to AI visibility metrics that survive run-to-run variance: sample size, fixed prompt sets, mention rate vs position, and week-over-week tracking.

2026-09-28 · 7 min read
Engines

How ChatGPT Search Picks the Sources It Cites

What OpenAI documents about ChatGPT sources and citations, what stays speculation, and how to make your pages easier for search-driven answers to cite.

2026-09-25 · 5 min read
Technical

llms.txt Explained: What It Is, Who Reads It, and Whether You Need One

llms.txt is a proposed file that gives AI assistants a clean map of your site. What it is, who actually reads it, and whether it's worth adding.

2026-09-25 · 5 min read
Original Data

Who Blocks AI Crawlers? We Read the robots.txt of 210 Major Websites

We parsed robots.txt from 210 major sites. 33.7% block a training crawler, 19.9% block a search crawler, and 14.5% block training but keep search open.

2026-09-23 · 7 min read
Technical

GPTBot vs OAI-SearchBot vs ChatGPT-User: Which OpenAI Crawler Should You Allow?

Compare GPTBot, OAI-SearchBot and ChatGPT-User, with robots.txt snippets for three policies and the visibility trade-off of each.

2026-09-23 · 5 min read
Fundamentals

AEO vs GEO vs SEO: What Actually Changes (and What Doesn't)

AEO vs GEO vs SEO compared: which classic SEO work still transfers, what's genuinely new, and where GEO gets oversold.

2026-09-21 · 7 min read
Fundamentals

What Is AI Search Visibility? A Plain-English Definition for Marketers

AI search visibility means three things: being mentioned, where you rank in the answer, and whether you are cited. Here is how to measure each.

2026-09-21 · 5 min read