01
Start with people
Start with the questions real customers ask, not a keyword list. Every question points to a buyer preparing to make a decision.
2026 GEO Trend Report·Get the B2B Growth Playbook for the AI Search Era→The growth engine for the AI search eraMake AI search engines
Make AI search engines
recommend your brand
Connect buyer-question strategy, citation tracking, content, and community distribution in a growth loop that compounds—so every AI answer can become the start of a sales conversation.
Pipeline-based KPIs · 90-day proof window · Weekly citation tracking
tenten-geo — query-universe
$ tenten geo scan --brand your-brand --universe 50
✓ Scanned 8 AI engines · 50 core buyer questions
Engine Citation WoW
ChatGPT 41.2% ▲ +6.8%
Perplexity 38.7% ▲ +4.2%
AI Overviews 29.4% ▲ +9.1%
Gemini 24.8% ▲ +3.5%
Claude 21.3% ▲ +2.9%
Copilot 18.6% ▲ +1.7%
→ 12 citation gaps added to the 3-week rewrite queue
* Figures are illustrative; your weekly dashboard is the source of truth
ChatGPTPerplexityGoogle AI OverviewsGeminiClaudeMicrosoft CopilotGrokDeepSeek
Query Universe
Map the question universe and claim your share of AI discovery
Systematically cover the AI-assisted buying journey: find the questions with commercial value, build the right content, and turn more answers into qualified conversations.
02
Prioritize value before producing content
Rank questions by purchase intent and competitive gap. The first 50 keep content investment focused on decisions that can create revenue.
03
Measure your position inside the answer
Track whether your brand appears for each question, which role it plays, and how that position changes week to week.
Coverage
Eight decision stages, fully mapped
Category discovery
The buyer recognizes a need and explores possible approaches
Product capability
Questions comparing features, specifications, and practical limits
Brand research
The buyer has heard of you and checks your reputation
Purchase decision
Shortlist questions about pricing, rollout, and commercial terms
Trust validation
Questions seeking case studies, reviews, and third-party proof
Competitor comparison
Direct comparisons between your offer and named alternatives
Use-case fit
Questions that begin with a specific operating problem or scenario
Post-sale expansion
Support, renewal, and expansion questions after the first deal
Your 30-day audit includes the question set for each stage, prioritized against your brand's actual gaps.
Trust matrix
Move from visibility to trust—and from trust to revenue
Deploy once, then keep improving through a steady operating cadence: track, diagnose, rewrite, and verify every AI recommendation that can influence a deal.
AI visibility tracking
Track mentions, ranking, and first-recommendation share across ChatGPT, Perplexity, Google AI Overviews, and other engines. See the gaps question by question.
Brand sentiment and reputation
Monitor positive and negative sentiment in AI answers, trace each signal to its source, and address damaging narratives before they spread into mainstream answers.
Citation source analysis
Identify the pages and publications AI engines cite, find the sources with real authority, and measure how often your brand breaks into the evidence layer.
Continuous strategy updates
Send topic and use-case gaps straight into knowledge-base development and content rewrites. A fixed 3-week loop keeps expanding your citable content estate.
Closed-loop performance reporting
Monitor around the clock and receive weekly reports on citation rate, answer share, and Pipeline contribution—so progress is always open to verification.
The growth loop
One growth loop—from brand knowledge to closed deals
A dedicated team stays with you from the first scan through ongoing recommendations. The KPI is Pipeline, not traffic.
01
Build the brand knowledge base
Bring verified information about your brand, products, competitors, and target markets into one source of truth for every AI answer.
02
Map the buyer questions
Map 50 core questions across eight decision stages. Find the high-value questions first, then turn latent demand into a focused content roadmap.
03
Diagnose the gaps
Compare results across DeepSeek, ChatGPT, Gemini, and other engines to see where you are absent, where competitors win, and what to fix first.
04
Monitor AI answers
Track brand mentions, citation sources, media share, and competitor positions around the clock, with changes surfaced as they happen.
05
Run content and community operations
Create native content for your site, industry publications, and communities, building brand assets AI engines can understand and cite across channels.
06
Review distribution and feed the next cycle
Measure mention rate, citation rate, and competitor movement, then feed the findings into the next question map so the loop improves every cycle.
Source matrix
Build citable authority across content, media, and communities
Create a coordinated source footprint wherever AI engines look for evidence.
Platform and community strategy
Choose the right mix of AI platforms and communities for your market, then invest where your buyers already spend attention.
Authoritative source coverage
Target the sources that shape purchase decisions and build credible brand references where prospects are most likely to encounter them.
Social listening and sentiment analysis
Track brand conversation in real time, spot unusual shifts quickly, and respond before a negative narrative takes the lead.
Authority sources + community operations
Five source paths, one consistent story
- 01
PR and news media
Earn third-party trust through credible industry coverage
- 02
Long-form publishing
Build durable content assets that remain useful and citable
- 03
Vertical publications
Strengthen authority in channels decision-makers already trust
- 04
Communities
Cover long-tail questions through real discussion and useful answers
- 05
Your website
Maintain the structured source of truth behind every answer
RedditLinkedInYouTubeMetaX
Question strategy dashboard
- Purchase decisionHigh priority
- Trust validationMedium priority
- Competitor comparisonCoverage gap
Content task queue
- Buying GuideWebsite and Medium long-form
- Reddit Q&AUse-case discussions and helpful answers
- LinkedIn PostIndustry perspective and brand credibility
- YouTube ScriptTutorials, reviews, and long-tail topics
Industry applications
One engine, adapted to the way your market buys
Choose an industry to see how the question strategy changes with its buying journey.
01 / 07 · Manufacturing
Help international buyers understand your production capabilities first
Structure capacity, precision, delivery, and certification data so AI can recommend your business during supplier evaluation and surface you for high-value opportunities.
- Structured production data → Make lead times and specifications machine-readable
- Certifications and proof → Give decision-makers evidence they can verify
- Competitor question coverage → Win back high-intent comparison answers
Verified performance data lives on our Results page; illustrative figures are never used as proof. View verified results →
Delivery and support
Full-funnel execution built to move deals forward
One coordinated deployment across the major AI platforms, with a dedicated team from strategy through measurable growth.
End-to-end implementation
Deploy once and build coverage across AI platforms.
Proprietary tracking system
Automated citation tracking and rewrite scheduling
Multi-platform expertise
Coverage across major AI engines and communities
Defined deliverables
Clear outputs for audit, content, launch, and verification
Data security and compliance
Enterprise-grade data handling and access control
A dedicated team throughout
One accountable team from strategy through growth.
Dedicated 1:1 manager
One point of contact for faster decisions
Strategy co-creation
Monthly reviews keep the plan aligned with the data
Priority response channel
Questions go directly to the delivery team
24/7 monitoring
Get alerted as answer positions change
FAQ
About the AI Search Growth Engine
GEO helps generative AI engines such as ChatGPT, Perplexity, and Google AI Overviews understand, trust, and cite your brand's content in their answers. SEO competes for rankings and clicks; GEO competes for citations and recommendation share inside AI-generated answers.
Brand awareness is not the same as citability. AI engines choose sources that are retrievable, structured, and verifiable. Without a mapped question universe and source matrix, your brand can remain absent from the answer. Our 30-day audit identifies missed questions and competitor positions, then prioritizes the rewrites.
We monitor sentiment in AI answers every week, trace reputation signals to their sources, and act before damaging claims become common across major answers. Authoritative sources and structured content help reinforce accurate information.
The sequence is: brand knowledge base, 50 core buyer questions, native content for your site, industry media and communities such as Reddit, LinkedIn, and YouTube, then continuous monitoring. The platform mix changes by industry and market, while the underlying facts remain consistent.
We combine multilingual question mapping with local transcreation rather than literal translation. The claim, facts, and structure remain consistent, while terminology and the AI ecosystem adapt to each market. Choose a target market when booking, and we will show its question gaps during the diagnostic.
Before you sign, we build a revenue forecast from your real market data. A 90-day proof window then measures citation progress and Pipeline contribution; you can end the engagement if it does not meet expectations. See the Pricing page or book a 30-minute diagnostic for an assessment.
Make your brand the recommendation inside every relevant AI answer
Book a 30-minute diagnostic. We will show your current visibility across major AI engines and identify the buyer questions with the highest-priority gaps.
Book a 30-minute GEO diagnosticNo preparation required · Receive your visibility snapshot during the call