Blog.
Explainers and sourced research on SEO and AI visibility. Every outside fact links to where it came from.
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Why Doily tracks 9 AI engines and labels some results approximate
Doily tracks 9 AI engines, checks paid plans daily, and labels DeepSeek results approximate. Here is the reasoning behind each choice and what it means.
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Choosing 30 prompts to track for a local business
A method for picking 30 AI prompts that reflect how local customers ask, with buckets, a full example list, and rules for keeping the set honest over time.
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How agencies can price AI visibility work
A pricing framework for AI visibility services: scope drivers, a cost-based floor, 3 package shapes, and what not to promise. Example numbers are invented.
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Why AI answers change from run to run, place to place, and day to day
The same AI prompt can return different brands and sources minutes apart. Here is what public research shows about why, and how to measure around it.
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How Google's AI Overviews and AI Mode choose what to cite
Google says AI Overviews and AI Mode use the same core systems as Search. Here is what its guidance says, what outside studies add, and what stays unknown.
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Mentions, citations, and links: what AI engines do with your brand
An AI answer can name your brand, credit your page as a source, or send a click to your site. Those are 3 outcomes, and each needs its own measure.
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How ChatGPT search finds and cites sources
OpenAI documents 3 crawlers and a web search tool with citations. Here is what each does, what you can control in robots.txt, and what OpenAI does not say.
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Share of voice in AI answers, explained with a worked example
Share of voice in AI answers has two common definitions that give different numbers. Here is how each is calculated, with example arithmetic and its noise.
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AI crawlers and robots.txt: which bot does what
OpenAI, Anthropic, Perplexity, Google, and Microsoft each run several bots with different jobs. Here is what each does and what blocking it changes.
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llms.txt: what it is, who proposed it, and what search engines say
llms.txt is a proposed markdown file that points AI agents to your best content. Google says Search ignores it. See what it does and where it still helps.
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What an SEO report should show a client who does not read SEO
A client report should answer what changed, why, what you did, and what happens next, in business terms. Here is a structure, with plain words for jargon.
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Structured data in 2026: what still earns rich results and what Google retired
Google has retired FAQ, How-to, and other rich results. See the timeline, what its gallery still lists for business sites, and what to do with old markup.
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Local SEO: what the map pack actually responds to
Google says local results depend mainly on relevance, distance, and prominence. See what each means for a business, what you control, and what to avoid.
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Core Web Vitals: what is measured and the current thresholds
Core Web Vitals are LCP, INP, and CLS. Here is what each measures, the good thresholds from web.dev, and why field data beats a lab score.
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How to write a title tag people click
Google's guidance on title links explains what makes a title work and when Google rewrites yours. Here is how to apply it, with examples and a way to test.
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