AI Search Optimization: 9 Tactics Ranked
AI search optimization tactics ranked by effort and by their effect on retrieval versus citation, plus a stop-doing list checked against Google and OpenAI docs.
Generative Engine Optimization: how a brand gets understood, trusted and cited inside AI answers.
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AI search optimization tactics ranked by effort and by their effect on retrieval versus citation, plus a stop-doing list checked against Google and OpenAI docs.
Claude web search from Anthropic's own docs: how to turn it on, how it decides to search and cites, which crawlers it uses, and how to get your pages cited.
Reddit SEO explained: why threads rank in Google and get cited by AI, how to take part honestly, what gets brands banned, and how to measure the results.
ChatGPT shopping explained from OpenAI's own pages: how products and merchants are picked, what feeds and reviews do, and what merchants can change right now.
ChatGPT deep research explained from OpenAI's docs: how it plans, browses and cites, limits by plan, using it for marketing research, and how to get cited.
We asked ChatGPT 40 'best [service] in [city], Florida' questions and audited 59 recommended businesses' websites. Here is what the winners have in common.
Plain-English definitions of 56 AI search terms, from AEO and query fan-out to grounding, RAG, sameAs, and share of model, with links to full guides.
A 40-point GEO checklist for AI search visibility: access and rendering, entity clarity, quotable content, off-site corroboration, and measurement.
LLM SEO explained: the two levers behind every AI answer, training data and live retrieval, how each one works, and what you can actually change in each.
ChatGPT or Gemini describing your company wrongly? How to tell whether the error comes from memory or retrieval, find the source, and fix it for good.
Perplexity retrieves before it writes. Understanding the four stages between a question and a citation explains why good pages still get left out.
AI citation tracking measures how often AI engines name and quote your brand. What it measures, why it isn't rank tracking, and how it's really done.
AI engines trust what others say about you more than what you say. Here's why third-party mentions drive citations, and how to earn them deliberately.
When someone asks an AI assistant for the best option nearby, one business gets named. How those recommendations are assembled, and how to win them.
95% of the queries deciding your AI visibility have zero search volume. Topic clusters cover them. How to build one that earns citations.
AI engines retrieve passages, not pages. Here's how chunking and embeddings actually work, and how to structure content so your paragraphs survive the cut.
AI engines retrieve far more pages than they cite. Only 15% of retrieved pages reach the answer. Here's what happens in between and how to survive the cut.
Blocking GPTBot or opting out of AI Overviews protects content but costs visibility. Here's the honest tradeoff, who each side suits, and the middle path.
What the evidence actually supports about search through 2027: substitution not replacement, crawler economics, agentic search, and how to prepare now.
How AI engines pick sources in 2026: the two-stage retrieval and selection model, what the research shows correlates with citation, and what does not transfer.
AEO vs GEO vs SEO compared: what each term means, where they genuinely differ, where they are the same work renamed, and which to prioritize first.
llms.txt explained: what the proposed file is, who proposed it, whether any AI engine actually reads it yet, how to build one, and when to skip it.
An honest self-assessment: the signs you are ready for a GEO agency, the signs it is too early, what to fix first, and how to start on your own for free.
What a GEO agency delivers: entity work, schema, quotable content, off-site corroboration, measurement and reporting, plus what a first 90 days should include.
FAQ schema explained with a full JSON-LD example: what FAQPage markup does, Google's 2023 eligibility change, the visible-Q&A rule, and how to validate it.
In-house GEO or an agency? A decision framework covering skills, tooling, speed and real cost, plus the hybrid model most teams actually end up running.
GEO agency vs SEO agency: how goals, deliverables, pricing and measurement differ, and the questions that separate a real GEO team from a relabeled one.
Most AI crawlers do not run JavaScript, so client-rendered content is invisible to them. How to test what bots receive, what breaks, and how to fix it.
The four AI visibility metrics worth tracking: presence rate, citation share, accuracy, and competitor gap, with formulas, sample sizes and what to skip.
Every AI crawler user-agent that matters, what each one does, how to allow or block them, a sample robots.txt, and why your CDN may override all of it.
An engine-by-engine method for tracking brand mentions in Perplexity, Gemini, Google AI Overviews and AI Mode, with the fields to log and how they differ.
AI citation tracking compared: manual logging, scripted API runs, and paid platforms, what the tool landscape looks like, and how to evaluate any vendor.
Perplexity cites sources on nearly every answer. How its own index and crawlers work, what gets quoted, and the steps to become one of the cited pages.
The complete guide to generative engine optimization: what GEO is, the evidence behind it, the three-part framework, a 90-day sequence and how to measure it.
Share of model measures how often an AI engine names your brand versus competitors. How to define it, calculate it, segment it, and set a realistic target.
How to rank in ChatGPT: how its search actually retrieves and selects sources, why Bing matters, and the steps that make your brand one it quotes.
A repeatable method for measuring ChatGPT visibility: designing a prompt set, controlling the run, what to log, counting rules, and turning it into a cadence.
How to get cited by ChatGPT and Perplexity: how each engine picks sources, what the citation research shows, and a 10-step playbook with a checklist.
What GEO means: generative engine optimization explained, how it differs from SEO, who it is for, what the work involves, and how to tell if it is working.
Every engagement starts with a free visibility audit, so we agree on the baseline before anyone writes code.