AI Search Optimization
AI Search Optimization Services:Get Found in AI Answers
AI search optimization services make a company findable and citable when people ask ChatGPT, Gemini, Claude, Perplexity, Copilot or Google AI Overviews what to buy and who to trust. The work has three parts: optimizing the site you control, building presence on the third-party sources models cite, and measuring both with a fixed monthly prompt panel. It is scoped in writing, and no one can guarantee a specific answer.
Found, Cited, Recommended
Strategy by Anthony Will, Founder & CEO · 13+ years in ORM · 5,000+ clientsRated 5.0 · read 228 client testimonials(opens in a new tab)- AI answers are assembled from sources. ChatGPT, Gemini, Perplexity and AI Overviews compose an answer from pages and profiles they can read and trust, then name or cite a few. If you are not among those sources, you are not in the answer. How it works →
- Your site and everyone else's. We work on both the pages you control and the third-party sources models draw on, because an answer is built from both. One without the other leaves half the inputs unchanged. Our services →
- Measured, not promised. We log what each engine says to a fixed set of prompts every month, with dates. No one can guarantee a specific answer, so we show you the movement instead of promising an outcome. The timeline →
- Start free. An analyst runs your buyers' questions through the major engines and sends you the log and the gaps, free and with no obligation. Anything we build afterward is quoted in writing. Get my free audit →
What is AI search optimization?
The short answer
AI search optimization is the practice of making a brand findable and citable in AI-generated answers: the responses from ChatGPT, Gemini, Claude, Perplexity, Copilot and Google AI Overviews. It combines on-site work (restructuring pages so models can extract and trust them), off-site work (building credible presence on the sources models read), and measurement (logging what each engine actually says, on a schedule). It is also called generative engine optimization (GEO), answer engine optimization (AEO) or LLM optimization; the labels differ more than the work does.
How our AI search optimization program works
When someone asks an AI assistant for the best provider in your category, the model does not return ten blue links. It writes an answer from sources it can retrieve, parse and corroborate, and it names or cites a handful of them. Our AI search optimization services are built around that fact: the answer is assembled from many inputs, so we work on the inputs. The program has three layers, and we run them as one engagement so they reinforce each other instead of competing. If you are weighing the labels GEO, AEO and SEO, our comparison of AEO vs GEO vs SEO sets out what each one optimizes for.
The first layer is the website you control. Pages get restructured so the direct answer comes first, headings read like the questions buyers ask, entity facts such as who you are, what you do and who runs the company stay consistent, and structured data helps machines parse it. Models also weigh whether a claim is corroborated elsewhere, and a Google Knowledge Panel service can help establish the entity facts that AI answers tend to repeat. This is the part of the program covered by what generative engine optimization is, in plain English, and by our answer engine optimization work on the question-and-answer pages.
The second layer is everything outside your site. Models lean on third-party sources: community discussions, review platforms, industry publications, comparison lists and reference sites. Where an accurate, well-sourced Wikipedia page is warranted, our Wikipedia page creation service follows the encyclopedia's own notability and neutrality rules, and creating a new page is 100% results-based, so you pay only if the page is published, although no one can promise a page will be accepted. Reviews are another source models read, which is why online review management services belong in the same plan as the content work.
The third layer is measurement. Every month we ask the same prompts across the major engines, in logged-out US sessions, three runs per prompt because answers vary, and record whether you were mentioned, whether your site was cited, which sources appeared, and how you were described. You get the log, the changes since last month, and what we would do next. Where the issue is not absence but accuracy, meaning an engine describes you wrongly, that is a different problem, and our AI reputation management work handles it.
What we will not do is as important as what we will. We do not guarantee that any model cites you on any day, because models change and some answers come from training data that refreshes only when the model is retrained. We do not sell fake reviews, hidden text, spam posts or anything that depends on tricking a model. Every engagement starts with a free analyst-run audit, quoted separately in writing, and the work that follows is scoped in writing before it begins.
The Visibility Ladder
Six rungs between being invisible and being recommended
1. Indexed and retrievable
The engine can reach your pages. Crawlers are not blocked, key content renders without JavaScript, and the page is in a sitemap. Input that moves it: crawler access and technical hygiene.
2. Extractable
A model can lift a clean answer from the page: the direct answer leads, each section stands alone, tables carry comparisons. Input that moves it: answer-first structure.
3. Corroborated
The facts about you match everywhere they appear, and independent sources agree. Input that moves it: consistent entity facts, schema, and accurate third-party profiles.
4. Mentioned
The engine names you when asked about your category. Input that moves it: presence on the sources it reads, plus the on-site work above.
5. Cited
The engine links to or attributes a claim to your page. Input that moves it: pages worth quoting, named authors and primary-source citations.
6. Recommended
The engine names you as a good option for the buyer's situation, in a favorable and accurate way. Input that moves it: reviews, reputation and the characterization the sources support. This is the rung no one can promise, and the one we measure hardest.
Our Services
The parts of AI search optimization, and where each lives
Generative engine optimization services
The on-site half: restructuring and building the pages models quote, with schema, entity consistency and crawler access, verified by a monthly citation panel.
Answer engine optimization services
The question-and-answer layer: question-led pages, FAQ and entity schema, and answer-first copy that AI Overviews and ChatGPT can quote.
LLM seeding
The third-party half: credible presence on the communities, publications, reviews and reference sources models read, built honestly and never faked.
ChatGPT brand visibility
The engine-specific program: how ChatGPT search picks the sources it names and cites, and what we change on and off your site to earn a place in its answers.
For B2B SaaS
The software version: being the product a model names for alternatives, comparisons and best-for questions, across review platforms, docs and comparison pages.
For law firms
The legal version: being the firm AI names for a practice area and city, within bar advertising rules.
For healthcare and dental practices
The healthcare version: being the practice AI names for a specialty and area, with HIPAA in mind.
AI brand monitoring
The measurement layer: ongoing tracking of what the engines say about you and alerts when an answer changes or turns inaccurate.
Free AI visibility audit
The starting point: an analyst runs your buyers' questions through six engines and sends the log, the gaps and the fix list. Free, no obligation.
AI reputation management
The defense twin. If an engine describes you inaccurately rather than ignoring you, that is a reputation problem, and it has its own program.
How It Works
Five steps, the same on every engagement
- 01
Free audit
Know the baseline.An analyst runs a fixed set of your buyers' questions through the major engines and logs every answer with its date and cited sources.
- 02
Gap analysis
Find the gaps.Every source an engine cites instead of you is a page that beat yours. We compare, and find what is missing on your site and on the sources around it.
- 03
Scope in writing
No surprises.You get a written scope of exactly what we would build and why, before anything starts, and only if you choose it.
- 04
Build on-site and off-site
Change the inputs.Answer-first pages, schema and entity fixes on your site, and honest presence on the third-party sources models read.
- 05
Measure monthly and iterate
Compound the wins.The same prompt panel every month, with a dated log of what moved. The next cycle's work goes where the answers are changing.
Free to find out. No obligation, no pressure.
A free analyst-run audit with no obligation. Anything we build is quoted in writing first, and only if you choose it.
Honest Timelines
How long until AI answers change
It depends on where each answer comes from, and no one controls the model refresh schedule. Here is the honest range.
Engines that search the web as they answer can pick up restructured pages and new sources within weeks of being recrawled.
Structured data and consistency fixes are recrawled quickly, but confidence in a clarified entity builds over repeated crawls.
These change only when the model is retrained on a newer snapshot of the web, on the AI company's schedule, not ours.
No one can promise it. We raise the probability by controlling the inputs, then verify with the monthly panel.
Why We're Different
Full-service AI search optimization vs. an AI visibility tool subscription
Measurement
AI Visibility Tool Alone
Dashboards show where you stand
Reputation Resolutions
A dated monthly prompt log across the major engines, read by an analyst
On-site work
AI Visibility Tool Alone
None, a tool does not rewrite pages
Reputation Resolutions
Answer-first restructuring, schema and entity fixes
Off-site work
AI Visibility Tool Alone
None
Reputation Resolutions
Honest presence on the third-party sources models read
Interpretation
AI Visibility Tool Alone
You decode the charts yourself
Reputation Resolutions
We explain what moved and what we change next
The promise
AI Visibility Tool Alone
Visibility data, not outcomes
Reputation Resolutions
Honest: we raise the odds by controlling the inputs
Background
AI Visibility Tool Alone
New tools in a brand-new category
Reputation Resolutions
Reputation work since 2013, A+ BBB accredited
Who runs your case
Senior specialists, no junior handoffs
Reputation Resolutions is run and managed by a world-class team of online reputation management experts. Your case is handled by senior, multidisciplinary specialists: removal strategists who know each platform's rulebook, SEO and content experts who rebuild your search results, legal partners for the matters that need them, veteran PR professionals, and AI-search specialists who help you control what LLMs like ChatGPT say about you. There are no junior handoffs and no learning on your case, and every person here treats your name as if it were their own.
Get Started
Schedule a Free Consultation on AI Search Optimization
A free consultation: we run the questions your buyers actually ask through the major AI engines, show you whether you are mentioned or cited, and map what we would change.
Free & Confidential Consultation
Tell us what’s going on (required)
Prefer to talk? Call 855-239-5322
AI Search Optimization FAQs
AI search optimization, Answered Honestly.
Straight answers on definitions, measurement, cost structure, guarantees and who it is for.
AI search optimization is the practice of making a brand findable and citable in AI-generated answers from ChatGPT, Gemini, Claude, Perplexity, Copilot and Google AI Overviews. It combines on-site optimization, building presence on the third-party sources models read, and measuring the results with a fixed monthly prompt panel. Classic SEO optimizes for a ranked link; this optimizes for being named or cited inside the answer.
They overlap heavily. Generative engine optimization (GEO) focuses on getting cited in long-form generated answers, answer engine optimization (AEO) focuses on structuring pages so a direct answer can be lifted and attributed, and LLM optimization is a common shorthand for the same ground. AI search optimization is the umbrella over all of them. We cover the on-site side in our LLM SEO work and the question-and-answer layer in our AEO work.
Three things. It improves the inputs: restructured pages, schema and entity fixes, and presence on the third-party sources models read. It runs a fixed prompt panel across the engines and logs what each one says. And it reports what moved and what changes next. Anything else a provider promises, such as a guaranteed mention, should raise questions.
By asking the same prompts on a schedule and recording the answers: whether you were mentioned, whether your site was cited, which sources appeared, and how you were described. Because answers vary from run to run, we repeat each prompt several times and report the runs rather than a single score.
The audit is free. After that, scope depends on the size of your site, how competitive your category is, and how much off-site work is needed. It is quoted in writing before anything starts, and you choose whether to go ahead.
Yes, with a local emphasis. Local queries lean on business profiles, reviews and local citations, so the plan puts more weight on those and on consistent name, address and service facts. The audit shows which local questions currently name you.
It can, with care. Financial, legal and healthcare content often has review and disclosure requirements. We work from your approved language, we do not publish claims you have not cleared, and your compliance team keeps final say on anything that goes live.
No, and be wary of anyone who does. Models change, some answers come from training data that refreshes only on the vendor's schedule, and results vary between runs. We control the inputs, measure the outputs monthly and show you the movement.
Answers that come from live web search can move within weeks of pages being recrawled. Answers from training data move only when the model is retrained, which takes months and is not in our control. We report both so you can see which kind of answer you are looking at.
Tools measure; they do not change what models say. A tool can be a useful scoreboard, but it does not restructure your pages, fix your entity facts or build presence on the sources models read. Our monthly panel is the measurement for this program, so you do not need to buy a tool to see the results.
If an engine describes you inaccurately rather than ignoring you, yes, and that is a separate program. Our AI reputation management work finds the sources behind a wrong answer and corrects them. Many clients need both: fixing what is wrong and building what is missing.
Still not sure if your situation qualifies?
Get a straight answer from a senior specialist in one call: free, confidential, and you'll know exactly where you stand before you decide anything.
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