Outbound Intelligence
Signal-based cold email and LinkedIn outreach targeting companies showing genuine buying intent right now. Qualified meetings on your calendar in 30 days.
For B2B teams whose buyers are already asking ChatGPT, Perplexity, Gemini, and Claude about your category.
Growleads is an AI SEO agency that gets you cited in ChatGPT, Gemini, Perplexity, and Claude when your buyers ask. Generative Engine Optimization plus Answer Engine Optimization. We build the cornerstones, schema, and citation network that put your category in the AI answer, not your competitor’s. You build the business. We build the demand.
Highly rated across leading B2B review platforms
1,200+
Qualified meetings delivered
3X
Average pipeline growth
5+
Regions with active clients
8+
Industries served
Trusted by Growing Teams Worldwide
Where GEO and AEO fit
GEO + AEO is one of three sub-services inside Inbound Intelligence. Most engagements bundle it with Google Ads so paid demand and AI demand run on the same map.
Google Ads and GEO + AEO running as one demand-capture system. See how the channels compound.
Search, Performance Max, and YouTube campaigns rebuilt around your real conversion: a qualified meeting, not a download.
How we run a GEO + AEO engagement
Every GEO + AEO engagement runs this loop. Each stage produces an artefact your team can audit, own, and rerun in-house when ready.
Week 1: pull a comprehensive list of queries your buyers are putting into ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. Built from sales call transcripts, RFP language, public reviews, and live AI-engine probes. Each query scored on buying-stage intent. Maps which queries to claim and in what order.
Week 1 to 2: audit the current state of each tracked query across the five major AI engines. Capture who is cited, what the AI answer says, and how confident the engine is in the answer. Establishes the baseline cited-by-engine percentage. Anything we move from here is measurable.
Week 2 to 4: write cornerstone content that owns each priority buyer query. Tuned for AI citation patterns: clear definitions, structured framings, JSON-LD schema, source links. We are not writing for a human reader to score 90 on Yoast; we are writing for an AI engine to pull a citation.
Weeks 4 to 12: external source-quality signals. Guest posts on category-relevant publications, podcast appearances, partnership listings, Wikipedia editing where appropriate. These signals feed AI engine confidence that you are an authoritative source on the query.
Ongoing: weekly Looker Studio review of citation share movement per query. Pause queries where we are not gaining share inside 8 weeks; double down where we are. Refresh framings every 30 days as AI engine answer patterns evolve.
The infrastructure underneath
No vendor lock-in. Every tool below is documented in your playbook so your team can take AI search optimization in-house whenever you want.
Map of the queries your buyers are actually putting into ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. Built from internal sales call transcripts, public buyer language, and live AI-engine queries. Refreshed monthly.
Weekly audit of each tracked query across the five major AI engines. Captures who is cited, what the AI answer looks like, and how it changes week over week. Trend lines published in Looker Studio.
Documented category framings for each buyer query: the specific phrasing, definitions, and structural patterns AI engines pull when answering. Built from reverse-engineering successful citations + brand-specific positioning.
JSON-LD schema markup tuned for citation patterns (Article, FAQPage, HowTo, Organization). External source-quality signals via guest posts, podcasts, and partnership pages. Both feed AI engine confidence in your content.
Looker Studio dashboard updated weekly. Cited-by-engine % per query, share-of-voice trend, new query opportunities flagged. The single report we manage to.
Case studies
Named clients, named industries, and the actual CPL, meeting counts, and spend levels from our Google Ads and GEO/AEO programs. No anonymised case studies.
View all case studiesAauti · India and US
Aauti needed a repeatable instructor-onboarding motion. We ran coordinated email and LinkedIn cadences against the same ICP, with sender splits protecting deliverability and a manual qualification pass before any meeting hit the calendar.
Jindal Lifestyle · US, Europe, Mexico
Jindal Lifestyle wanted to open an OEM vertical separate from its retail business. We ran 8 campaigns across three geographies and three named trade shows (Ambiente, NRAS, NAEFM), with industry-specific positioning per region and LinkedIn outbound running in parallel.
UK student housing brand · enterprise client (anonymised)
An enterprise UK student-housing brand watched rising CPCs erode its primary acquisition channel. We rebuilt the Google Ads programme around tight match-type discipline on high-intent housing queries, a landing-page refresh that matched ad copy to the application form, and weekly bid review against actual booking data.
ImpactCraftAI · India, US, UAE
ImpactCraftAI launched with no installed base, no inbound leads, and no warm network. We ran 17 campaigns across India, US, UAE, Massachusetts, and California with per-geography copy splits. The California campaign alone hit a 12.1% reply rate on 2,925 sent.
Fox India Voyages · India
Fox India Voyages sells MICE and corporate event logistics. The buyer pool is narrow but high-intent. We ran a LinkedIn-led outbound system that opened every message with the planner’s calendar problem, not Fox’s service catalogue.
STITCH · Apparel manufacturing
STITCH sells a garment MES to apparel factories. Most agency programmes were burning the budget on broad-match irrelevant traffic. We rebuilt around tight exact-match keywords on “garment MES” and “production tracking software”, and rewrote the landing page with manufacturer-specific proof blocks and a three-field form.
FullDome.pro · Global
FullDome.pro sells immersive dome installations to museums, planetariums, theme parks, and immersive venues. The challenge was precision, not scale. We ran a tight email and LinkedIn programme against a manually curated decision-maker list, with sub-vertical copy splits per venue type.
ZappLoans · India
ZappLoans needed digital loan application volume at unit economics that worked. We ran salaried-professional targeting on instant-loan keywords, with continuous spend optimisation week-on-week against actual borrower disbursement data.
Bana · Global
Bana sells designer and fashion-brand fabric sourcing. We ran high-intent keyword precision against the searches designers and merchandisers actually use, with proof-led creatives that spoke to fabric quality and consistency, not to generic supplier positioning.
Video testimonials
Why Growleads
We are accountable for one thing: qualified meetings with decision-makers who have real budget and authority. Not open rates. Not sequences sent. Not monthly reports that show everything except pipeline.
GEO and AEO, getting your brand cited inside ChatGPT, Perplexity, and Gemini, is live for Growleads clients today. Most demand generation agencies are still running the 2021 playbook. The first-mover window is roughly 18 months wide.
Outbound, inbound, and LinkedIn authority all draw from the same buyer model. Your buyer experiences a consistent, credible brand across every channel. Your pipeline compounds instead of plateauing. One partner, one weekly call.
ICP models, signal libraries, channel playbooks, messaging frameworks, AI automation infrastructure. All of it is yours. The system compounds. Campaigns stop the moment the retainer does. The intelligence we build does not.
If outbound is not right for your market, we say so in the first call. If your ICP is too broad to run with precision, we push back before a dollar is spent. This has cost us some projects. It has kept clients for years.
Testimonials
A 30-day system, not a guess. We understand your buyer first, then build, activate, and run every channel under one intelligence layer.
We study your buyer before touching a single tool: intent signals, channel behaviour, buying committee, decision timeline. The channel decision comes after the buyer is understood, never before.
A channel plan built for your ICP and your market, not a template with your logo on it. It names the channels, the rationale, the budget, and the expected outcomes. You approve it first.
Campaigns go live in 14 days. The intelligence is already built, so activation is fast without cutting corners. The first message knows who it is going to and why they respond.
Outbound, inbound, and LinkedIn authority running under one strategy and one intelligence layer. You attend the meetings. We run everything else.
Shared dashboards and weekly insights: meetings booked, pipeline created, conversion at each stage. Not emails opened. The numbers that connect to revenue.
How long before we start getting cited by ChatGPT and Perplexity?
First citations typically appear in week 6 to 10 if cornerstone content goes live by week 4 and source-quality signal building starts week 5. Compound effect (10+ buyer queries cited consistently) shows up around month 4 to 6. AI engines re-train and update citation patterns on cycles measured in weeks, not days.
How is this different from traditional SEO?
Three things. (1) Target is the AI answer, not the Google rank. Different content patterns, different schema priorities. (2) Source-quality signals matter more than backlink count. (3) Reporting is citation share per query, not keyword rank position. SEO buys you Google traffic; GEO + AEO buys you presence in the answer your buyer sees instead of clicking through.
What if my category isn’t being asked about in AI assistants yet?
We tell you no in week 1. If buyer-stage queries about your category have under 500 monthly searches across the five AI engines combined, the math doesn’t work yet. Come back when the volume is there, or run different demand-creation work in the meantime.
Will this hurt or help my existing Google SEO?
Helps it. The cornerstone content patterns that work for AI citation (clear definitions, structured framings, schema markup, source-quality signals) are also the patterns that work for Google’s AI Overviews and rich results. The two compound rather than compete.
How do you measure success?
Citation share per tracked query, measured weekly across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. Plus inbound traffic and conversions attributable to AI-engine referrals. Not generic SEO metrics. Not Yoast scores.
Which AI engines do you focus on?
All five major engines: ChatGPT (with web), Perplexity, Google AI Overviews, Gemini, and Claude (with web). Different engines weight different signals; we tune for the multi-engine optimization, not for any one. Single-engine optimization is fragile.
Do you write the actual cornerstone content, or do we?
Either works. We draft cornerstone content for you (B2B-operator writers, not generalists), or we provide the framing structure and you have your team write to it. The framing library is the leverage; the writing is the labor. Both paths produce comparable citation share.
Who owns the framing library, cornerstone content, and citation tracker at handover?
You do. The framing library, cornerstone content, citation tracker setup, Looker Studio dashboard, and schema markup are all in your accounts and properties from day 1. We give a 14-day handover with a recorded walkthrough so your team or future agency can run the same plays.
What does a GEO + AEO engagement cost?
We do not publish a number because every engagement is sized to the query map depth, cornerstone content volume, and source-quality work scope. What we will say upfront: 90-day minimum then month-to-month, priced for outcomes (citation share gain per query) rather than retainer hours. The first call gives you a number tailored to your scope.
What is the difference between generative engine optimization services and answer engine optimization services?
Generative engine optimization services get your brand cited inside AI answers from ChatGPT, Gemini, Perplexity, and Claude. Answer engine optimization services structure your content so it is the source those engines quote. We run both as one program: cornerstones, schema, and a citation network.
Resources
Playbooks and breakdowns from the demand programmes we run. Written by the operators doing the work, not a content team.
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You build the business. We build the demand.
We will run a baseline citation audit on your category across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. Then tell you the realistic citation share you can claim in 90 days. No commitment. No pitch deck. If your category is not yet AI-search-ready, we will say so before the contract.
Avg. response in 4 hours · Calendly · No sales pressure