Somebody on your team has asked if you should be paying for generative engine optimization services, or a vendor just pitched you a “GEO package” with a dashboard full of AI citation scores. You’re right to be curious and right to be suspicious. The work is real, the vocabulary is new, and a lot of the selling relies on fear. This guide explains what GEO is, what a decent service actually includes, what Google and OpenAI say you need to do, and how to tell a serious provider from a loud one.
Quick answer: Generative engine optimization services improve how often and how accurately your brand shows up in AI-generated answers from tools like Google’s AI features, ChatGPT and Perplexity. A good service combines crawlable pages, genuinely useful content, clear brand and entity signals, mentions earned on other sites, and honest measurement. Nobody can guarantee an AI will cite you.
Key takeaways
- GEO is mostly SEO fundamentals applied to AI answers. Google says optimizing for its generative AI search is still SEO.
- Google’s own guide tells site owners to ignore several popular “GEO hacks”, including llms.txt files and chopping content into tiny chunks.
- For ChatGPT search, OpenAI says to allow its OAI-SearchBot crawler and make sure your host or CDN doesn’t block it. It also says placement isn’t guaranteed.
- Judge providers on scope, evidence, measurement honesty and refusal to promise citations, not on dashboards.
- If you’re in India, check how a provider handles regional languages and local search, not only English prompts.
Last verified: 12 October 2026
What are generative engine optimization services?
Generative engine optimization (GEO) services help a brand appear, and be described correctly, in answers written by AI systems such as Google’s AI Overviews and AI Mode, ChatGPT search, Perplexity and Gemini. An agency audits your visibility, improves your content and technical setup, builds credible mentions elsewhere, and measures what happens over time.
The term has an academic origin. A 2023 research paper by Aggarwal and colleagues, later accepted to the KDD 2024 conference, introduced “GEO” as a framework for helping content creators improve visibility in responses from generative engines. In the researchers’ own benchmark, some of the strategies they tested lifted visibility by up to 40%, but the effect varied by subject area. That second part is the one salesmen skip. What works for one topic or type of site may do little for another.
In practice, buyers meet GEO under several names. You’ll see “AI SEO”, “LLM SEO”, “AEO” (answer engine optimization), “ChatGPT optimization” and “AI search optimization”. They overlap, and providers use them loosely. Don’t assume two vendors selling “GEO” and “LLM SEO” are selling different things, or the same thing. Ask for the written scope.
What makes a GEO service different from an ordinary SEO retainer? Mainly the target and the measurement. Instead of only tracking rankings and clicks, you’re asking: when someone asks an AI tool about our category, do we appear, are we described accurately, and does it send us qualified visitors? Those are fair questions. They’re also harder to measure than rankings, which is why this market has so much noise.
Is GEO different from SEO?
Mostly no. Google states that optimizing for its generative AI search is optimizing for the search experience, and therefore still SEO. Its AI features draw on its core ranking and quality systems. GEO adds some extra work around brand mentions, content that AI can quote, and tracking visibility inside AI answers across several different tools.
Google’s official guide to generative AI features is unusually direct about this. It describes two techniques behind its AI features. One is retrieval-augmented generation, where the system pulls relevant pages from the Search index and writes an answer grounded in them, with links to supporting pages. The other is query fan-out, where the model runs several related searches to gather more information. Both rest on pages Google can already crawl, index and rank.
The guide’s advice for AI visibility reads like ordinary good SEO: write non-commodity content with a point of view or first-hand experience, organise it for readers, keep the site technically clean, use Merchant Center and Business Profile data where it applies, and measure in Search Console. You can read the full text in Google’s guide to optimizing for generative AI features.
So where does GEO earn its fee? Three places:
- Beyond Google. ChatGPT, Perplexity and other tools have their own crawlers, sources and rules. Someone has to check that you’re accessible and understood across all of them.
- Brand and entity clarity. AI answers describe companies. If the web gives mixed or outdated descriptions of yours, the answers will too.
- Measurement. Tracking how you appear in AI answers is a new discipline with its own methods and limits.
If you want the broader picture before buying, our guide to what answer engine optimization is covers the vocabulary in more depth.
What do generative engine optimization services include?
A solid GEO service usually includes an AI visibility audit, a technical and crawler access review, content and entity work, earned mentions and digital PR, and ongoing measurement. The exact mix varies, so ask for a written scope that says what’s delivered each month and what is billed on top.
| Component | What it involves | What you should receive |
|---|---|---|
| AI visibility audit | Testing a defined set of prompts about your category across AI tools and noting who gets cited and how you’re described | The prompt list, the results, the date, and what you’ll do about the gaps |
| Technical and crawler review | Checking indexing, robots.txt, CDN or firewall rules, rendering, page speed and structured data | A fix list ordered by impact, with before and after checks |
| Content strategy and production | Pages that answer real questions with first-hand detail, clear structure and accurate facts | Briefs, drafts and updates mapped to specific queries and prompts |
| Entity and brand consistency | Making sure your name, products, people and facts are described the same way across your site and profiles | A list of inconsistencies found and fixed |
| Earned mentions and digital PR | Getting genuinely cited by credible sites, communities and publications | A list of every mention, with URL and how it was earned |
| Local and commerce data | Business Profile and product feed quality where relevant | Profile and feed changes, tracked |
| Measurement and reporting | Search Console, analytics referrals and repeated prompt testing | A report that explains movement and states its limits |
Notice what isn’t on that list: secret tricks. If a provider’s pitch centres on a proprietary method they can’t explain, Google’s own hiring guidance for SEOs applies here too. It tells buyers to be careful if a company is secretive or won’t clearly explain what they intend to do, and to check whether advice on “AEO” or “GEO” lines up with Google’s official guidance.
Where our services fit
We split this work across a few service pages so you can see the scope for each. Our GEO services page covers visibility audits, content and entity work and reporting. If your focus is the model-side view, see LLM SEO services. For ChatGPT specifically, there’s ChatGPT SEO services, and for direct-answer formats there’s AEO services. A free audit is a good way to see how a provider works before you commit.
Which GEO tactics work and which are hype?
Tactics that work are the unglamorous ones: original, useful content, crawlable and fast pages, clear structure, consistent brand facts and real third-party mentions. Tactics to treat with caution include llms.txt files as a ranking lever, slicing content into tiny chunks for AI, rewriting everything in a special style, and buying mentions.
Google’s guide includes a “mythbusting” section that is worth reading in full before you sign a GEO contract. In short, it says you don’t need these for Google Search:
- llms.txt and other special files or markup. Google says Search doesn’t use them. Creating one for other systems is fine and neither helps nor harms visibility in Google.
- Chunking. There’s no requirement to split content into small pieces for AI to understand it.
- Rewriting just for AI. AI systems understand synonyms and meaning, so you don’t need to chase every long-tail variation.
- Inauthentic mentions. Seeking fake mentions across the web isn’t as helpful as it might seem.
- Overfocusing on structured data. It isn’t required for generative AI search and there’s no special markup to add, though it still helps with rich results.
Google also warns that producing separate pages for every possible query variation, mainly to manipulate AI responses, runs into its scaled content abuse policy. And it says no third-party tool has access to Google’s internal ranking or AI systems, so be wary of tools that claim to use “internal” metrics.
This is Google’s view of Google. Other AI tools may behave differently, and nobody outside those companies can prove exactly how they choose sources. That’s another reason to demand honesty from a provider: a good one will say “this is what we know, this is what we’re testing, and this is what we can’t know.” For background on the file question, our post on the llms.txt standard looks at what it is and where it’s used.
How do GEO, AEO and LLM SEO differ?
The labels overlap heavily. GEO usually means improving visibility in AI-generated answers overall. AEO focuses on being the direct answer to a question. LLM SEO and ChatGPT optimization usually point at specific AI tools. Google says AEO and GEO are terms for work focused on AI search experiences. When comparing quotes, ignore the label and compare the scope.
| Label | How it’s usually used | Practical focus |
|---|---|---|
| GEO (generative engine optimization) | Visibility in AI-written answers across tools | Content, entity clarity, mentions, measurement across several AI tools |
| AEO (answer engine optimization) | Being chosen as the direct answer to a question | Question-led pages, concise answers, structure for snippets and voice |
| LLM SEO | Visibility in large language model products | Brand facts, citations and how models describe you |
| ChatGPT optimization | Appearing in ChatGPT’s answers and search results | Crawler access, content quality, brand mentions, referral tracking |
| AI SEO | Umbrella term for SEO in the AI era | All of the above plus classic SEO |
The good news is that the work overlaps so much that you rarely need to buy these separately. A competent provider should be able to cover them in one plan. If someone sells you “GEO”, “AEO” and “LLM SEO” as three separate retainers with near-identical deliverables, ask what’s different. Our pages on AEO services and LLM SEO services explain how we separate the scopes.
How do you get your site into ChatGPT, Perplexity and Gemini answers?
Start with access and usefulness. Make sure each AI tool’s crawler can reach your pages, then publish content worth citing. For ChatGPT search, OpenAI says to allow OAI-SearchBot in robots.txt and let its published IP ranges through your host or CDN. For Google’s AI features, a page must be indexed and eligible for a snippet in Google Search.
ChatGPT search
OpenAI’s help article on web search says ChatGPT ranks results using multiple factors meant to find relevant, reliable information, and that placement isn’t guaranteed. To make a site eligible, it says to allow OAI-SearchBot to crawl the site and confirm that your host or CDN allows traffic from OpenAI’s published searchbot IP addresses.
OpenAI’s crawler overview adds useful detail. It lists separate robots: OAI-SearchBot is for surfacing sites in ChatGPT’s search features, GPTBot is for content that may be used to train its models, and ChatGPT-User is used when a person asks ChatGPT to visit a page. Each setting is independent, so a site can allow search appearance while disallowing training use. OpenAI also notes that sites opted out of OAI-SearchBot won’t be shown in ChatGPT search answers, though they can still appear as navigational links. See OpenAI’s overview of its crawlers for the current details, and OpenAI’s help article on searching the web for the eligibility note.
That is exactly the kind of check a GEO provider should do in week one. A surprising number of sites block AI crawlers by accident through firewall rules or blanket bot settings. Our post on AI crawlers such as GPTBot, ClaudeBot and PerplexityBot walks through how to decide what to allow.
Google AI Overviews and AI Mode
Per Google’s guide, to appear in generative AI features a page must be indexed and eligible to show in Search with a snippet. Google adds that meeting requirements doesn’t guarantee crawling, indexing or serving. So the starting point is the same as for any page: is it in the index, and is it worth showing?
Perplexity and other tools
Every AI tool publishes its own crawler and source rules, and they change. We haven’t verified Perplexity’s current requirements for this guide, so check its official documentation rather than trusting a vendor’s summary. A good provider will show you the official page they’re relying on.
How do you measure GEO results?
Measure GEO with three sources: Search Console’s Generative AI performance report for Google, your analytics for referral visits from AI tools, and repeated prompt testing for how you’re mentioned. Treat prompt tests as directional only. AI answers vary between runs, so a report should state its method and its limits.
Google’s guide points site owners to the Generative AI performance report in Search Console to see how content performs in generative AI features on Google Search and Discover. It also warns that third-party tools don’t have access to Google’s internal ranking or AI systems. Use them if they help your workflow, but weigh their claims against official guidance.
For traffic from other AI tools, set up referral tracking in analytics. Our walk-through on tracking AI referral traffic in GA4 shows how. For the Search Console side, see our post on the Search Console AI performance report.
What a good GEO report contains
- The exact prompts tested, the tools used and the date of each test.
- How you’re described, including errors, not only if you’re mentioned.
- Search Console data on AI features and normal Search performance.
- AI referral visits and what those visitors did.
- Actions taken this month and planned for next month.
- A plain statement of what can’t be measured.
Be careful with a single “AI visibility score” shown without its method. A score is only as honest as the prompt set and the testing behind it. Ask how many prompts, how often, how they were chosen and if results were averaged across repeated runs. If you want to see how automated tracking can be set up, our guide on automating AI search visibility tracking covers the moving parts.
How much do GEO services cost?
There’s no verified market price for GEO services. Providers charge monthly retainers, fixed-scope audits, per-project fees or hourly rates, and the scope behind each number varies widely. Compare quotes by deliverables per month, not headline price, and check each provider’s own current pricing or ask for a written quote.
This is a general explanation of the models, not a list of market prices. We’re deliberately not quoting figures, because any number without its scope attached tells you nothing.
| Model | What it covers | Best for | Watch out for |
|---|---|---|---|
| One-off AI visibility audit | Prompt testing, crawler review, content gap list | Finding out where you stand | An audit that is only a tool export with no plan |
| Monthly retainer | Ongoing content, technical fixes, mentions and reporting | Sustained improvement | Vague monthly scope |
| Project-based | A defined build, such as a content hub or site fixes | One-time clean-up | No follow-up measurement |
| Hybrid with SEO | GEO added to an existing SEO retainer | Brands that already invest in SEO | A rename of existing deliverables |
One test helps: ask what would be done in the first month with and without the GEO label. If the answer is the same list of tasks with a new name, you may simply be paying more for SEO. That isn’t always bad, because AI visibility deserves attention, but you should know what you’re buying.
How do you choose a generative engine optimization agency?
Choose a GEO agency by testing whether it explains its methods, aligns with official guidance, measures honestly and refuses to guarantee AI citations. Ask for sample audits and reports, check who writes the content, and start with a small paid audit or pilot before committing to a long retainer.
Google’s guidance for hiring an SEO is a handy checklist here, because it now covers AI work directly. It lists optimizing for generative AI among the services SEOs provide, and it suggests asking whether an agency’s AI advice matches Google Search’s official guidance. You can read it in Google’s guide to hiring an SEO.
A practical scorecard
- Do they cite official documentation? A provider justifying tactics with Google, OpenAI or Microsoft documentation is a better bet than one citing “proprietary research.”
- Can they explain their testing? Prompts, tools, dates, repeats, limits.
- Do they start with the basics? Crawl access, indexing and content quality come before exotic tactics.
- How do they earn mentions? Real outreach, original research and useful assets, not bought placements.
- Who writes the content? Ask for samples and an explanation of how AI is used in drafting and what people review.
- What do they say about guarantees? The right answer is that nobody can promise AI citations.
- Do they have experience in your market? Ask for relevant work, and for references you can contact.
- Is the contract flexible? A short initial term with a clear exit is safer in a fast-changing area.
Red flags
- A promise of citations or a fixed number of AI mentions by a date.
- Selling llms.txt, special markup or content chunking as the main lever for Google visibility, given Google’s stated position.
- Buying mentions, reviews or forum posts to manufacture “authority.”
- A dashboard with a single score and no explanation of how it’s calculated.
- Claims to use Google’s internal data or “approved” tools.
- A secretive process with no explanation of what will change on your site.
Ask for a sample of the first deliverable before you sign. A real audit is specific: pages, prompts, errors and priorities. A weak one is generic and could apply to any company.
What should you look for in GEO services in India?
In India, look for a provider that tests prompts in the languages and phrasing your customers actually use, understands local search and business listings, and can show work in your sector. English-only prompt tests can miss how people in Hindi, Tamil or other languages ask questions, so ask how multilingual visibility is handled and measured.
Indian buyers often search in a mix of languages, sometimes within the same query. An audit built only on English prompts gives you a partial picture. Ask a provider if they test in the languages your customers use, and if they can produce or review content in those languages with native-level editing. Our vernacular SEO services page covers regional-language work, and the same thinking applies to AI answers.
Local presence matters too. Where AI answers include local businesses, Google says Business Profile data can help visibility. And if you sell products, Google points to Merchant Center feeds. Check that any GEO plan includes the profile and feed basics, not only blog content.
When searching for “best GEO services in India” or a “GEO agency”, remember that most lists you’ll find are written by agencies listing themselves or their partners. Treat rankings in those posts as marketing. Use the scorecard above and ask for evidence you can verify yourself.
What does a sensible first 90 days of GEO look like?
A sensible first 90 days starts with an audit and fixes, moves to content and entity work, then adds earned mentions and measurement. Expect a plan, not a promise. The example below is a general outline, not a guaranteed timeline or a statement about results, because outcomes depend on your site, market and competitors.
- Weeks 1 to 2: baseline. Agree 30 to 60 realistic prompts for your category, test them across the AI tools your customers use, and record the results with dates. Check indexing, robots.txt and CDN rules for crawler access.
- Weeks 2 to 4: fixes. Repair blocked crawlers, broken pages, slow templates and inconsistent brand facts. Set up Search Console reports and AI referral tracking in analytics.
- Weeks 4 to 8: content. Update your most important pages and publish new ones that answer real questions with first-hand detail, clear structure and accurate facts. Prioritise topics where you have genuine expertise.
- Weeks 6 to 12: mentions. Earn genuine coverage: original data, expert commentary, partnerships, community participation. Avoid anything you’d be uncomfortable explaining publicly.
- Week 12: review. Repeat the prompt tests, compare with the baseline, look at Search Console and referral data, and decide what to keep, change or stop.
If you’d like a starting point, our guide to ranking in Google AI Overviews goes deeper on the Google side.
Why do AI answers get your brand wrong, and how do you fix it?
AI answers can describe your brand wrongly because they pull from whatever sources they find, and those sources may be outdated, thin or inconsistent. The fix is to correct the sources: make your own pages clear and current, align your profiles, and earn accurate coverage elsewhere. You can’t edit an AI answer directly.
OpenAI’s own help article says search results and citations can be incomplete, outdated or incorrect, and suggests opening cited sources to check they support the answer. That cuts both ways. If you see a wrong claim about your company, open the source it cites. Often the error traces back to an old page, a directory listing nobody updated, or a third-party article with stale facts.
A simple correction routine looks like this:
- Record the error. Note the tool, the prompt, the date and the wrong statement.
- Find the source. Open the citations. If there are none, search for the same claim elsewhere.
- Fix what you control. Update your own pages, About page, product pages and profiles so they state the right facts plainly.
- Request changes elsewhere. Ask third-party sites to correct outdated facts, politely and with evidence.
- Re-test later. Check again after a few weeks and keep the log. Changes don’t always show up straight away.
This unglamorous work is often the most valuable part of a GEO service, and it’s easy to verify. Ask a provider to show you an example of an error they traced and fixed, without naming the client if they need to protect confidentiality.
Do you need to buy generative engine optimization services at all?
Not always. If your SEO basics are solid and you can publish original, useful content, you can do much of GEO in-house. Buy outside help when you lack time, technical resources or measurement skills, or when AI answers are misdescribing your brand and you need a structured fix.
Google itself says plenty of content does well in its Search, including generative AI experiences, without any overt SEO, and that you don’t need to do everything in its guide to succeed. That’s a reminder not to panic-buy. A small business with a clear site, a good Business Profile and helpful pages may get most of the benefit from a few focused fixes.
Outside help makes sense when:
- Your category is competitive and AI answers keep citing others.
- AI tools describe your company wrongly or out of date.
- Your site has technical barriers you can’t diagnose.
- You need regular, honest reporting across several AI tools.
- You’re an agency adding AI search to client work and need fulfilment support.
Before you buy anything, run a quick self-check: ask a few AI tools the questions your customers ask, write down what they say about you, and check if your key pages are indexed and crawlable. That small test often shows if you have a real problem or just a vendor’s sales pitch.
Frequently asked questions
What are generative engine optimization services?
Generative engine optimization services help your brand appear, and be described accurately, in AI-generated answers from tools such as Google’s AI features, ChatGPT and Perplexity. They usually combine an AI visibility audit, technical and content fixes, entity clarity, earned mentions and measurement.
What's the difference between SEO and GEO?
SEO aims to rank pages in search results. GEO aims to be cited or described correctly in AI-written answers. Google says optimizing for its generative AI search is still SEO, so the foundations overlap. GEO adds brand mentions, multi-tool testing and AI visibility measurement.
Is SEO replaced by AI?
No. Google says its generative AI features rely on core Search ranking and quality systems, and that SEO best practices remain relevant. Pages still need to be crawlable, indexed and useful. What changes is where answers appear and how you measure visibility.
Can a GEO agency guarantee AI citations?
No. Nobody outside an AI company controls what it cites, and OpenAI states that placement in ChatGPT search isn’t guaranteed. A trustworthy agency promises a plan, honest testing and reporting. Treat any guaranteed citation count or date as a red flag.
What do LLM SEO services include?
LLM SEO services usually cover testing how AI models describe your brand, fixing crawler access, improving content and brand facts, earning credible mentions and tracking referral traffic. The label overlaps with GEO and AEO, so compare the written scope rather than the name.
What are ChatGPT optimization services?
They focus on appearing in ChatGPT’s answers and search results. OpenAI says to allow OAI-SearchBot and make sure your host or CDN permits its published IP ranges. The rest is useful content, clear brand facts, credible mentions and referral tracking, with no guaranteed placement.
How do I choose a GEO agency?
Pick an agency that explains its methods, cites official documentation, shows sample audits and reports, measures honestly and refuses to guarantee citations. Check who writes the content, how mentions are earned, and run a small paid audit or pilot before a long contract.
How much do GEO services cost?
There’s no verified market price. Providers charge audits, monthly retainers, project fees or hourly rates, and scope varies widely. Compare deliverables per month, ask for a written quote, and check each provider’s current pricing page instead of trusting round numbers in listicles.
Are GEO services in India different from elsewhere?
The principles match, but Indian audiences often search in several languages and mixed phrasing. Ask a provider to test prompts in your customers’ languages, handle local business and product data, and show relevant sector experience, not only English-language results.
Do I need llms.txt for generative engine optimization?
Not for Google. Its guide says Search doesn’t use llms.txt files and that creating one neither helps nor harms visibility in Google. Other systems may read such files, so it’s optional. Focus first on crawlable pages, useful content and accurate brand information.
Nowoka Digital runs AI visibility audits and GEO programs covering crawler access, content, entity clarity, mentions and honest reporting. Start with a free audit and a clear plan, with no promises about citations.
Riya Bhardwaj
Leading content and growth initiatives with a focus on search visibility, audience engagement, and measurable business outcomes. Specialised in SEO, Generative Engine Optimization (GEO), AI search optimisation, and performance-driven content marketing. Passionate about transforming market insights into scalable content strategies that strengthen brand authority and drive sustainable digital growth.