GEO Tools AI Visibility Nearly Doubled: 26% to 44% in 8 Weeks

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DecaGEO Team · May 29, 2026 · 11 min read GEO Strategy Data Insight Category Deep Dive

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What this article covers

This is a deep dive into the GEO Tools category — the most structurally dynamic of the 10 SaaS categories tracked by DECA Score over 8 weeks (April 5 through May 24, 2026). Among all categories in the 8-week AI recommendation tracking study, GEO Tools stands apart: its AI Visibility Rate nearly doubled, its concentration index fell the fastest, and its #1 brand changed three times. The data also reveals a notable temporal pattern — the sharpest acceleration in AI Visibility Rate occurred in the week following GPT-5.5 Instant’s deployment as ChatGPT’s default model.

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GEO by the numbers: the category where AI recommends the most brands

Of the 338 GEO tools listed on G2, 147 appeared in AI recommendations by W8 — an AI Visibility Rate of 43.5%. For comparison, CRM’s AI Visibility Rate is 3.4%, meaning AI recommends only 1 in 29 of its 1,016 listed products. GEO’s 43.5% rate is 4.2x the cross-category average of 10.3%. Table 1: GEO Tools DECA Score time series, W1-W8. *W7: Otterly.AI and Semrush tied at 100.0 displayed score; rank order reflects unrounded values. Source: DecaGEO, Baseline Report. Two structural shifts are visible in this table. First, the AI Visibility Rate trajectory: 26.3% → 23.4% → 27.8% → 31.7% → 42.9% → 43.5%. The rate was relatively stable through W3, then began accelerating in W4 and made a sharp jump between W5 (31.7%) and W6 (42.9%) — an 11.2 percentage point increase in a single week. Second, the Gini coefficient declined from 0.667 to 0.576 over the period (slope -0.0108/week), the steepest downward trend among all 10 tracked categories.

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The three leaders: Profound, Semrush, and Otterly.AI — a timeline of #1 changes

The GEO category’s #1 DECA Score position changed hands three times in 8 weeks — more leadership turnover than any other tracked category. Phase 1 (W1-W3): Profound’s lead. Profound held a DECA Score of 100.0 for three consecutive weeks, with GEO-native tools (Scrunch AI, Peec AI, Goodie) filling the #2-#3 positions. The top brands during this phase were all category specialists. Phase 2 (W4-W6): Semrush enters. In W4, the entire composition of the top 3 changed. Semrush — primarily an SEO tool that has expanded into GEO features — took #1 at 100.0. Ahrefs appeared at #2 (89.3), and Otterly.AI entered at #3 (84.6). Profound dropped to #4. This shift coincided with GPT-5.5’s release the previous week, though other factors — including Semrush’s strong presence in SEO-adjacent AI recommendation data — may have contributed. Phase 3 (W7-W8): Otterly.AI’s brief peak. Otterly.AI reached #1 in W7, tying with Semrush at 100.0. By W8, Semrush reclaimed the sole #1 position (100.0), with Otterly.AI at #2 (78.8). GEO-native brand Peec AI returned to #3 (65.2). The leadership pattern suggests a category in structural transition, where no single brand has established the kind of entrenched position that HubSpot holds in CRM (DECA 100.0 for 8 consecutive weeks, no variation).

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The post-GPT-5.5 Instant window: when AI Visibility Rate jumped 11 points in one week

GPT-5.5 Instant became the default ChatGPT model for all users on May 5, 2026 (OpenAI GPT-5.5 Instant release notes). OpenAI reported in the release notes that this model reduced hallucinated claims by 52.5% compared to its predecessor, with particular improvements in domain-specific accuracy. The GEO category’s AI Visibility Rate data shows a notable acceleration in the period around this date:

• W4 (Apr 26): 27.8%
• W5 (May 3): 31.7% (+3.9pp)
• W6 (May 10): 42.9% (+11.2pp) ← first full collection week after GPT-5.5 Instant default
• W7 (May 17): 43.2% (+0.3pp)
• W8 (May 24): 43.5% (+0.3pp)

The 11.2 percentage point jump between W5 and W6 is the largest single-week AI Visibility Rate increase in any category across the entire 8-week dataset. It occurred in the first data collection week after GPT-5.5 Instant’s deployment. This temporal alignment does not establish that GPT-5.5 Instant caused the expansion — multiple variables affect recommendation coverage. However, the hypothesis that a model with fewer hallucinations might recognize more legitimate GEO tools (rather than generating fewer, more familiar recommendations) is consistent with the directional data.

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Why does a more accurate AI recommend more GEO brands, not fewer?

An intuitive expectation might be that a more accurate AI model would narrow its recommendations — recommending fewer brands but with higher confidence. The GEO data suggests the opposite may occur in certain categories. GEO Tools is a relatively young category. Many GEO-specific products launched in 2024-2025, meaning earlier AI models may not have had sufficient training data to recognize them. A model with improved accuracy and reduced hallucination might surface these newer, legitimate tools rather than defaulting to a small set of well-known names. The contrast with CRM supports this interpretation. CRM is a mature category with decades of established brand data. Even with a model upgrade, the AI’s “knowledge” of the CRM landscape didn’t change because the category’s brand hierarchy was already well-documented in training data. CRM’s AI Visibility Rate remained at 3.4-4.0% throughout the 8 weeks. The GEO category’s 342 new-entry events across 8 weeks — far exceeding any other category’s new entry count — further indicates that the AI recommendation pool was actively expanding, particularly after W4.

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How does GEO’s recommendation openness compare to CRM?

Table 2: Structural comparison of GEO Tools vs CRM AI recommendation markets. Source: DecaGEO, Baseline Report W1-W8. GEO Tools has 3x fewer listed brands than CRM but 4.2x more AI-recommended brands. The result is a 12.8x difference in AI Visibility Rate. In practical terms: a GEO tool has roughly a 1-in-2 chance of appearing in AI recommendations, while a CRM tool has roughly a 1-in-29 chance. The Gini comparison reveals equally different structures. In CRM, 7 brands capture 80% of recommendation weight — 19% of the recommended pool. In GEO, it takes 59 brands to reach 80% — 40% of the recommended pool. GEO’s recommendation weight is more than twice as evenly distributed. For brands entering or competing in the GEO Tools space, these structural conditions indicate a market where AI recommendation position is neither entrenched nor predictable. The category structure framework classifies this as a Distributed market, where identical strategies may produce materially different outcomes than in Monopoly-like markets. (These market type labels refer to AI recommendation weight concentration, not commercial market share or legal market definitions.)

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FAQ

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Which GEO tool does AI recommend the most?

As of the week of May 24, 2026, Semrush holds the #1 DECA Score position in the GEO Tools category at 100.0, followed by Otterly.AI at 78.8 and Peec AI at 65.2. However, the #1 position changed three times over 8 weeks (Profound → Semrush → Otterly.AI → Semrush), indicating that leadership in this category is not entrenched.

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Why is the GEO category’s AI Visibility Rate so much higher than other categories?

GEO Tools’ AI Visibility Rate of 43.5% is 4.2x the cross-category average. Contributing factors may include the category’s relative youth (many tools launched in 2024-2025), active expansion of the category on G2, and the possibility that a more accurate GPT-5.5 model recognizes more legitimate GEO products. The 342 new-entry events across 8 weeks suggest the AI recommendation pool is actively expanding in this category.

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Did GPT-5.5 cause GEO Tools’ AI Visibility Rate to increase?

The data shows temporal correlation: AI Visibility Rate jumped 11.2 percentage points in the first week after GPT-5.5 Instant became the default model (W5 to W6). GPT-5.5 reportedly reduced hallucinations by 52.5%. However, correlation does not establish causation. Other factors — including changes in GEO tool marketing, updates to G2 listings, and broader market activity — may have contributed.

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How does GEO’s recommendation structure compare to other Distributed markets?

Among the four Distributed markets tracked (GEO Tools, SEO Tools, Email Marketing, Marketing Automation), GEO stands apart. Its AI Visibility Rate (43.5%) is 5x higher than SEO Tools (8.2%), the next-highest Distributed market. GEO is also the only Distributed market where the #1 brand changed during the tracking period. The other three Distributed markets maintained stable leadership throughout 8 weeks.

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What is DECA Score and how is it measured?

DECA Score is a 0-100 index measuring how strongly AI systems recommend a specific software brand within its G2 category. Scores are based on weekly recommendation frequency and prominence data collected from ChatGPT. A score of 100.0 indicates the strongest recommendation position in the category for that week. Scores are relative within each category — a DECA Score of 80 in CRM is not directly comparable to 80 in GEO Tools.

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Can a new GEO tool still get recommended by AI?

The data suggests the GEO category has the lowest structural barrier to AI recommendation entry of any tracked category. With 342 new-entry events over 8 weeks and an AI Visibility Rate of 43.5%, the category’s Two-Filter model indicates that Filter 1 (getting into the AI recommendation pool) is relatively open. Filter 2 (capturing significant recommendation weight once inside) remains competitive, with 59 brands needed to cover 80% of recommendation weight.

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What is the difference between AI Visibility Rate and DECA Score?

AI Visibility Rate measures how many listed brands in a category appear in AI recommendations at all — it is a category-level metric. DECA Score measures the relative strength of each recommended brand’s position within that category — it is a brand-level metric. A category can have a high AI Visibility Rate (many brands getting recommended) while still having intense competition for top DECA Score positions. In GEO Tools, the AI Visibility Rate of 43.5% means nearly half of listed brands get recommended, but the top DECA Score positions still changed hands three times in 8 weeks.

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Is the “geo roadmap” for GEO tools something brands should be planning for?

The data indicates that the GEO Tools AI recommendation landscape is changing faster than any other tracked category. Three leadership changes, an expanding recommendation pool, and a declining concentration index suggest that current rankings are neither permanent nor predetermined. Brands evaluating their GEO strategy may benefit from understanding this structural context — the category-first playbook for Distributed markets outlines how market structure affects strategic positioning.

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Methodology

Data source: DECA Score index, GEO Tools category on G2. Recommendations collected from ChatGPT (GPT-5.4 for W1-W3, GPT-5.5 for W4-W8), US region, weekly frequency. Tracking period: 8 consecutive weeks, April 5 through May 24, 2026 (W1-W8). Category scope: 338 brands listed on G2 under the GEO Tools category as of May 19, 2026. Metrics: DECA Score (0-100), Gini coefficient, AI Visibility Rate ((AI-recommended ÷ G2-listed) × 100), new-entry event count. AI Visibility Rate denominator: For comparability across weeks, AI Visibility Rate uses the May 19, 2026 G2-listed brand count (338) as a fixed denominator across the W1-W8 analysis. New-entry event definition: A new-entry event occurs when a brand appears in the AI-recommended set for a category-week after not appearing in the immediately previous tracked week. A single brand can produce multiple new-entry events if it exits and re-enters across weeks. Tie handling: When two brands share an identical displayed DECA Score of 100.0 (as in W7), rank order reflects the unrounded score. Both brands are noted at 100.0 in the table, with ordinal position based on the underlying precision. Limitations:

• GEO is a young, rapidly evolving G2 category — brand listings change more frequently than in established categories like CRM
• Tracking covers ChatGPT only; Claude, Gemini, and Perplexity may show different GEO tool recommendations
• The GPT-5.5 Instant transition (May 5) coincides with the sharpest AI Visibility Rate increase, but other confounding factors cannot be ruled out
• DECA Score measures recommendation strength, not product quality or user satisfaction
• Model labels (e.g., GPT-5.4, GPT-5.5) reflect the visible model identifier in ChatGPT at the time of each weekly collection, not independently verified model versions

External data sources cited:

• OpenAI: GPT-5.5 (April 23, 2026), GPT-5.5 Instant (May 5, 2026)
• G2.com: GEO Tools category page, brand count verified May 19, 2026

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Track GEO Tools AI recommendations weekly

The GEO Tools category changed leadership three times and added 342 new-entry events in 8 weeks. DecaGEO tracks DECA Score, AI Visibility Rate, and recommendation concentration across 10 SaaS categories weekly. Explore the latest GEO Tools rankings and data at decageo.ai.

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Sources

• 8 Weeks of AI Recommendation Data: Which Markets Are Moving and Which Are Frozen — Cross-category overview covering all 10 categories
• AI Visibility Has Two Filters: Why 91.6% of Software Brands Never Get Recommended — The Two-Filter model and AI Visibility Rate framework
• GEO Strategy Depends on Category Structure — Why identical strategies produce different results across category types
• SEO vs GEO: AI Channel Shift — Analysis of SEO and GEO brand overlap in AI recommendations
• The Category-First GEO Playbook — Strategic playbook for Distributed, Oligopoly, and Monopoly markets
• OpenAI: Introducing GPT-5.5
• OpenAI: GPT-5.5 Instant