Primary research for the answer-engine era, our most-cited piece.
Five constraint numbers locked before build. Six stages from discovery to hand-off.
Generative engine optimization services get your brand quoted and cited inside AI answers from ChatGPT, Perplexity, Gemini and Google AI Overviews, the same overviews Google reports now reach over 2 billion monthly users. Resourcifi restructures your content, schema and llms.txt so answer engines can lift you accurately, then tracks where you appear and where competitors win. Founded in 2017, rated 4.9 on Clutch.
Free AI visibility report
Drop your site and watch a live scan run across ChatGPT, Perplexity, Gemini and Google AI Overviews. Then a real consultant sends a genuinely useful AI visibility report within one business day. Not an auto-generated PDF.
Get your free AI visibility auditWhen the answer arrives with its sources already chosen, ranking first buys you nothing. Either you are in it, or you are invisible.
of people click a website after seeing an AI answer, versus 15% without one.
Pew Research Center, 2025
higher conversion from visitors who arrive via ChatGPT than from non-branded organic search.
Visibility Labs, 94 stores, 2025
of AI citations now come from the top 10 search results, down from 76% a year earlier.
Ahrefs, 2026
Canon facts about Resourcifi. No invented client metrics.
You can sit at the top of the search results and still be left out when an assistant writes the answer a buyer actually reads. AI systems choose sources by what they can parse, trust and quote, so the work is different from chasing a keyword position.
The shift is already measurable. Gartner predicts traditional search engine volume will fall 25% by 2026 as buyers turn to AI chatbots and assistants, which is exactly the demand our generative engine optimization services help you capture.
We optimize for the answer, then measure whether you show up in it.
How we close the gap →We rewrite and structure pages into self-contained, factual passages an AI model can lift verbatim, with clear claims, definitions and sourced numbers that read well to humans and machines alike.
We implement and validate JSON-LD schema such as FAQPage, Article, Organization and Product so engines can map entities, answers and authorship without guesswork.
We publish and maintain an llms.txt file and review robots and bot rules so AI crawlers like GPTBot and others can reach your strongest content instead of being blocked by accident.
We earn the third-party mentions and consistent entity data these systems lean on, strengthening how your brand, people and products are recognized across the web.
We run repeatable prompt tests across major assistants to see where you are cited, where a competitor wins the answer, and how that shifts as we ship changes.
We keep the classic signals healthy, since crawlable, fast, well-linked pages with clean canonicals still feed both traditional and AI search.
AIEO works by improving your standing at each step an engine takes between a user's question and the cited answer.
The engine has to reach your pages before it can use them.
It reads your facts, schema and structure to know what you mean.
It weighs trust and relevance to decide whose words make the cut.
It writes the answer and names the sources it leaned on.
Ask an assistant a question your buyers ask. We run the same prompt set before and after our work to show movement in who gets cited.
See the method →Illustration of how this works in practice, under guardrails and human checkpoints.
Every page we touch stays fast, accessible and genuinely useful to a human reader first. The structure that makes a passage easy for a person to scan is the same structure that makes it easy for an engine to quote.
When a buyer asks an assistant to compare tools in your category, we work to get your product named, described accurately and cited instead of left out of the shortlist.
We structure your guides and FAQs so assistants quote your firm when prospects ask how-to and which-provider questions in your field.
We make product and buying-guide content machine-readable so your items surface and get cited when shoppers research through AI assistants.
The same operating discipline runs every build: the numbers locked before we start, an eval suite that has to pass, quality gates on every change, and a hand-off engineered from day one.
Read the full method →We run your priority prompts across major assistants and audit schema, crawl access and content to see where you are cited today and where you are missing.
We prioritize the questions and pages with the most buyer intent and the clearest path to citation, then agree on targets and tracking.
We rewrite and reshape priority pages into quotable, sourced passages that read well and answer the question directly.
We ship JSON-LD schema, publish and maintain llms.txt, and fix crawl, speed and linking issues that hold pages back.
We build third-party citations and tidy entity data so engines recognize and trust your brand, people and products.
We re-run the prompt sets, report share of citation against competitors, and refine the next round of work.
Pick the model that fits your stage. Pricing scales with scope; our blended rates keep senior delivery well below comparable onshore teams.
A fixed-scope baseline: prompt-set testing, schema and crawl audit, and a prioritized roadmap you can run yourself or hand back to us.
An ongoing retainer covering content restructuring, schema, llms.txt, authority building and monthly citation tracking against your competitors.
Dedicated content, data and engineering specialists who plug into your team and own AIEO alongside your wider search and content work.
Tell us your use case and we will scope the right engagement. Or hire AI engineers for your own roadmap.
Answered the way we would on a scoping call.
AI engine optimization services are a structured program to make your brand surface and get cited inside AI systems like ChatGPT, Perplexity, Gemini and Google AI Overviews. The work includes rewriting content into quotable passages, adding schema markup, publishing an llms.txt file, building third-party citations and tracking where you appear in AI answers over time.
Traditional SEO optimizes for a ranking position in a list of links, while AIEO optimizes for inclusion in the answer an AI assistant generates and cites. They share a foundation of crawlable, fast, well-structured pages, but AIEO adds self-contained quotable passages, richer schema, llms.txt and prompt-based citation tracking. Most brands need both.
Generative engine optimization (GEO) is the practice of structuring your content, data and technical signals so generative AI systems quote and cite your brand inside the answers they write. Traditional SEO competes for a ranking position in a list of blue links, while GEO competes for inclusion in the AI-written answer itself and the citation beside it. Answer engine optimization (AEO) and AI engine optimization (AIEO) describe the same goal, and the two disciplines share a foundation of crawlable, fast, well-structured pages.
We optimize for the major AI answer surfaces, including ChatGPT, Perplexity, Google Gemini, Claude and Google AI Overviews. Because these systems share underlying needs for clean structure, accurate facts and trusted citations, the work improves your standing across all of them rather than tuning for just one.
llms.txt is a plain-text file at the root of your site that points AI crawlers to your most important, well-structured content, similar in spirit to robots.txt and a sitemap. It is an emerging convention rather than a universal requirement, but publishing and maintaining one is a low-cost way to guide AI systems toward your best pages. We set it up and keep it current as part of our work.
We define a set of buyer questions, run them as prompts across the major assistants, and record whether your brand is cited, how it is described and which competitors appear. We re-run that set after each release to track share of citation over time. Because AI answers vary between runs, we report trends across repeated tests rather than a single snapshot.
An audit and roadmap take two to three weeks, and the first structural and schema changes ship in the weeks after that. Visible movement in AI citations usually builds over the following months as engines recrawl your updated content and new third-party citations take hold. AIEO is an ongoing program rather than a one-time fix.
No reputable provider can guarantee citations, because AI engines control their own ranking and generation and their answers change between runs and model updates. What we can do is measurably improve the signals these systems rely on, then track and report your share of citation so you can see the trend against competitors.
Yes. AI engines often draw on the same crawlable, authoritative content that ranks in traditional search, so a healthy SEO foundation strengthens your AIEO results. We keep core technical SEO, site speed and internal linking in good shape as part of the program, and many clients run both together.
Resourcifi was founded in 2017 and holds a 4.9 rating on Clutch, with 200+ in-house experts, 600+ projects delivered and 95% repeat clients. We combine content, data and engineering under one roof, work to clear measurement, and typically deliver senior work well below comparable onshore rates.
A senior engineer on the call, not a sales pitch. Thirty minutes, your actual use case, a straight answer on feasibility.
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