AI Chat & AI Voice Search
GEO: Generative Engine Optimization (2026)

Our Hybrid GEO campaign positions your brand to be mentioned, recommended, and referenced across major AI platforms—including ChatGPT, Google Gemini, Claude, Grok, and others. Beyond standard GEO tactics, we enhance visibility with content marketing, blogs, social media posts, press releases, and reputation management, giving your brand credibility, reach, and AI-recognized presence across multiple locations and languages.

Our Framework for Search Visibility (SEO) and AI Visibility (GEO)

These strategies work independently or together to boost visibility across search engines and AI platforms.

  • Left side: GEO (G-Series) drives brand mentions and citations in AI.

  • Right side: SEO/AI SEO improves search rankings with AI-ready foundations.

  • Overlap: AIO (AI Optimization) helps AI understand your brand, while AEO (Answer Engine Optimization) ensures it’s optimized for answer-based discovery across search and AI platforms.

G-Series SEO Campaigns
G-Series SEO Campaigns
Turn AI Answers Into Repeatable, Reliable Metrics

AI outputs vary. GEO reporting reduces randomness so trends become measurable.

  • Multi-sampling (4×–16×) to avoid relying on one “lucky” response

  • Stable averages + ranges so you can compare visibility over time

  • Entity-based analysis that aligns with how AI actually recommends brands

Track AI Brand Visibility Over Time (Automatically)

Set GEO reporting to run weekly or monthly—no complex setup needed.

  • Watch visibility trends before/after campaigns
  • Identify early lifts (or drops) as models update training signals and retrieval behavior
  • Build client-friendly reporting that shows progress without guesswork
G-Series SEO Campaigns
G-Series SEO Campaigns
Built for Local, National, and Enterprise Brands

Whether you’re managing one brand or hundreds, GEO scales cleanly.

  • Track visibility by city, region, or country

  • Manage multi-location brands and franchise-style setups

  • Run multilingual reporting to match real user behavior

Track Every Major AI Engine Side by Side
  • GEO visibility can differ drastically by platform. We track where you’re strong—and where you’re missing.

  • Supported environments can include (as available):
    ChatGPT, Gemini, Claude, Grok, DeepSeek, Llama, plus emerging AI modes as they evolve.

G-Series SEO Campaigns
G-Series SEO Campaigns
One GEO Visibility Index Clients Actually Understand

GEO rolls multiple signals into a single score that answers:
“How visible are we inside AI recommendations?”

  • Simple 0–100 style index for fast decision-making
  • Breakdowns by engine, location, language, and entity set
  • Clear next steps tied to what’s actually changing in AI outputs
GEO Is Entity-First (Because AI Is Entity-First)

Instead of chasing “keyword rankings,” GEO focuses on entity sets that describe what you do.

Examples of entities:

  • “Nashville car dealer”
  • “app for finding new and used cars”
  • “emergency plumbing for condos”
  • “best ergonomic office chair for tall people”

You can also turn real prompts your customers use into entity targets, then measure visibility across similar prompts and contexts.

G-Series SEO Campaigns
GEO Deliverables
(G-Series 2026)

A modern GEO campaign blends strategy, content, and AI visibility reporting:

  • Entity Research: Insight Igniter AI (entity discovery + topic mapping)
  • Content Production: SEO GPT 2 (entity-aligned content creation)
  • Analysis: CORE AI GEO-focused insights
  • AI Brand Visibility Reporting: AIRankLens
  • Dashboard: AIRankLens Dashboard
Frequently Asked Questions
AI chatbots don’t work like traditional search rankings. They’re entity-based, and outputs vary. In some cases AI lists brands; we may measure position/order, but true progress is tracked through AI Brand Visibility, not “keyword rank.”
We can convert real prompts into entities, then track appearance across similar prompts and contexts. Because LLMs are probability-based, you can’t guarantee a single prompt output—but you can measure and improve consistent visibility across the entity set.
GEO timelines vary. Some brands see movement in ~3 months, others take 6–12 months depending on competition, entity difficulty, and the depth of optimization required. Visibility often improves as models update training signals and retrieval behavior, but results are not guaranteed.

RankLens is built to track multiple ChatGPT models and AI engines (for example: core ChatGPT models, search/assistant modes, and new engines as they’re added).  It also measures SearchGPT, Perplexity, Gemini, Anthropic, Grok, DeepSeek, Llama and more.

  • You see per-engine visibility (e.g., ChatGPT 4o vs another mode).

  • Engine columns only appear if data exists for that engine, so reports stay clean.

  • The system is designed to add new engines (and new model iterations) over time without breaking existing reports.

Yes, as long as you already have a website you may place a campaign order on this page. After the order the is processed a window will appear with a link to our digital on-boarding form. While you complete and submit our on-boarding form on our site, our team will create a project board. You will receive an email invite to join us on the board. The email invite will come from Freedcamp, which is the platform we use for project management and campaign support. 
There can be overlap. AI systems may use internal retrieval and live sources, so strong brand signals, content clarity, and authority can help. But GEO is specifically focused on AI recommendation visibility, not traditional search performance.
No. A GEO campaign focuses on AI Brand Visibility: brand name variants, website visibility, and entity-based appearance inside AI outputs.
Both. GEO targets appearance in pre-training signals and in retrieval-augmented generation (RAG) systems where AI pulls live or indexed data during responses.
Our 2026 SEO campaigns are designed to be GEO-ready—they support branding, PR, and topic alignment that AI often rewards. A dedicated GEO campaign adds entity-first optimization + AI Brand Visibility measurement, working alongside SEO for maximum impact.
  • Position/Order (when recommendations are listed)

  • LLM Confidence (how strongly the model favors the recommendation)

  • Brand Appearance / Share of Voice (frequency of mentions vs competitors)

  • Brand Discovery (likelihood of being recommended)

  • Brand Target (precision/stability when users clearly want your brand)

  • Brand Match (name/URL matching strength across variants)

G-Series 2026
GEO Deliverables
01

ENTITY RESEARCH

02

CONTENT & ANALYSIS

03

AI BRAND VISIBILITY

04

AI RANK DASHBOARD