People now ask ChatGPT, Gemini, and Google AI Overviews instead of scrolling a results page.
The brands those tools name in their answers win the buyer before a click happens. Our AI
search optimization services put you among them, and they cover two parts: GEO and AEO.
Generative engine optimization earns your brand a place inside the answers AI tools write. Our generative engine optimization services map the prompts your buyers use, then build the press, directory, review, and community signals those models pull from. Every placement comes from manual outreach, never marketplaces.
Answer engine optimization structures your own pages so AI tools can lift them straight into a direct answer. Our answer engine optimization services cover answer-first writing, clean schema, and clear entity signals.
AEO fixes what you publish. GEO shapes what the rest of the web says about you. As an AEO agency and a GEO agency in one, we run them together, so you’re covered on both sides of how AI decides who to recommend.
Here's how Generative Engine Optimization complements your SEO, rather than rival it.
One discipline, two surfaces: keep ranking on the results page — and get chosen in the answer above it.
Our GEO service runs on the Authority Intelligence System, a proprietary five-pillar methodology. It is how our AI SEO services go beyond generic AI optimization to build the commercial intelligence, signal architecture, forensic measurement, and competitive accountability that most GEO engagements lack entirely.
We map the commercial landscape before anything else: your product lines, customer segments, and competitor set, modeled into the exact prompt universe your buyers are using.
Every prompt is anchored in real behavior. We use your Google Search Console data and live query signals to reflect how your actual buyers ask questions.
LLMs cite brands they find consistently across the web. We engineer that consistency, distributing your message across press, communities, directories, and third-party sources so AI finds the same credible signals wherever it looks.
Being mentioned isn't enough if you're being framed poorly. We audit how AI describes your brand across every decision node, detect cross-platform bias, and trace negative perceptions to their root cause. Each client receives a Sentiment Authority Index (SAI) score and a remediation strategy.
We define what winning looks like before we start. Your target share of model — how often AI recommends you versus named competitors — becomes the OKR every pillar works toward.
See where AI stands on your brand before you spend anything. Our AI SEO agency tests the prompts your buyers use and shows you who gets named instead of you.
Your audit covers:
Delivered to a mid-market software brand before a single placement was made — the level of
depth every engagement starts with.
Across 360 answers (120 prompts × 3 runs — 70% long conversational asks, 30% short queries), the brand appeared mostly on branded prompts. On asks like "which platform should we move to?", it surfaced twice.
Why it matters
These are bottom-funnel prompts — the AI era's page one. Every answer that names a competitor is a shortlist the client was never on.
The fix
Prioritize the 12 decision nodes with partial presence, engineer consistent signals across the sources those answers draw from, and re-test the full prompt set weekly.
Answers recommending competitors trace back to a small, repeating set of third-party sources. The client appears in two — one with a three-year-old description.
top-10 listicle
review platform
community thread
industry publication
comparison table
directory listing
buyer's guide
4 more…
Why it matters
LLMs don't invent recommendations — they synthesize from sources they trust. A brand absent from the citation layer is invisible at answer time.
The fix
Consensus Resonance Engineering: earn placement or updates on the nine missing sources through manual outreach, then reinforce the two that already cite the client.
AI Sentiment Forensics found no hostile framing, but descriptions lag reality: retired pricing quoted on two engines, and a discontinued product named as the flagship.
stale
Pricing model quoted from 14 months ago
stale
Discontinued product named as flagship
ok
No negative or hostile framing detected
Why it matters
Sentiment decides how you're recommended, not just whether. "Legacy" framing quietly demotes a brand in comparison answers — the buyer never sees why.
The fix
Trace each stale claim to its source document, correct it at origin, and refresh the entity signals models ground on. Re-score SAI at every 30-day re-test.
Every prompt in your map gets this treatment: weekly re-runs across all engines,
logged and charted. Sample trajectory — one decision-node prompt over eight weeks.
Average slot inside the recommendation list — #3 → #1 across the eight-week sample.
4 → 8 engines citing within eight weeks — coverage compounds as consensus signals spread.
The audit ends in a plan with a defined win condition — your target share of model becomes
the OKR every deliverable works toward. Sample below, from the same anonymized audit.
AI crawler access opened, schema and entity signals shipped, stale claims corrected at their source documents.
First placements live on the missing sources; answer-first content published against priority decision nodes.
Mention-rate and position targets hit on priority nodes; weekly re-tests confirm the trend across engines.
We re-run your full prompt set every week across ChatGPT, Gemini, Google AI Overviews, and the other engines your buyers use. Every run is logged, so you see which prompts name you, which cite you, and where you sit in the recommendation list.
Each month you get a report covering citation placements, mention rate, sentiment score (SAI), and share of model against named competitors. If a model describes you wrongly, we trace the claim to its source and correct it there.
Monitoring shows where you stand. LLM visibility optimization closes the gap, one prompt at a time.
How to measure visibility on LLMs in generative search.
How often AI engines cite your content as a source inside their answers.
Your presence versus competitors across the full decision-node prompt map.
The share of relevant buyer prompts where your brand is named at all.
Where you sit when multiple brands are recommended. #1 gets the click that exists.
If models describe you correctly and positively; scored as your SAI.
How many of the 8 engines cite you; coverage compounds as consensus spreads.
As a generative engine optimization agency built on a decade of link building, we know the citation layer better than most.
Manual outreach, never marketplaces — every placement earned one publisher at a time, vetted against eight quality checks.
We don't compete with you — no content services, no ads. We plug into your team, which is why 2,600 agencies send us their clients.
Built to scale, by hand — 5 placements a month or 500, the same vetting runs every single one.
links & placements built to date
agencies served
industries served worldwide
GEO is the process of optimizing your brand and content so it gets cited and recommended by AI tools like ChatGPT, Gemini, and Perplexity, not just ranked on Google.
SEO focuses on rankings and clicks. GEO focuses on being mentioned inside AI-generated answers, where users increasingly get information without visiting websites.
We optimize for leading LLMs, including ChatGPT, Google Gemini, Perplexity AI, Claude, and Microsoft Copilot, depending on where your audience is searching.
We improve your content structure, authority signals, entity presence, and external references so LLMs recognize and trust your brand as a source worth citing.
No ethical provider can guarantee exact placements. However, we significantly increase your probability of being cited by aligning with how LLMs retrieve and generate answers.
Most clients start seeing early citation signals within 4–8 weeks, with stronger and more consistent presence building over 2–3 months.
Not necessarily. While SEO helps, GEO can work independently by building AI-friendly authority and structured content, even for newer websites.
We track brand mentions in AI responses, citation frequency, visibility across prompts, and assisted traffic/conversions from AI platforms — using in-house automated tools to ensure you're cited right.
If your customers ask questions online, GEO matters. It works especially well for B2B, SaaS, eCommerce, local services, and personal brands.
No. GEO complements SEO. The best strategy today is hybrid visibility — ranking on Google and being cited by AI. Leaving one for the other is never recommended.
Yes. Schema markup helps AI models understand your entities, services, and context. While it doesn't directly guarantee citations, it increases clarity, trust, and retrievability — improving your chances of being referenced by LLMs.
An AI SEO company improves how often and how accurately AI tools mention your brand. At LBHQ, that means tracking your prompts across engines, fixing your own content for AEO, and earning the third-party coverage models cite for GEO.
Look for an answer engine optimization agency that measures results in citations and mentions, not rankings alone. Ask how it tracks prompts, how it earns third-party coverage, and how it corrects inaccurate AI descriptions.