AI Visibility Tracking: The Definitive 2026 Guide
89% of brands now appear in AI citations — only 14% measure them (GoodFirms 2026). AI visibility tracking monitors how often, how prominently, and how favorably AI engines like ChatGPT, Google AI Overviews, Perplexity, Copilot, and Gemini mention and cite your brand. The category grew from 7 to 150+ tools on G2 in 2026. This guide explains the methodology, 11 vendors compared, the KPI framework, and how to start.
89% / 14%
Brands appear in AI citations / actually measure
+91% / +35%
Paid / organic CTR uplift when cited in AIO
40–60%
Monthly URL drift in AI citations for same query
8.4×
Top-quartile vs bottom-quartile B2B SaaS citation gap (31 vs 3.7/mo)
The 60-second answer
Definition. AI visibility tracking is the practice of monitoring how often, how prominently, and how favorably AI engines (ChatGPT, Perplexity, Google AI Overviews, Copilot, Gemini, Claude) mention and cite your brand in their generated answers. The discipline emerged with Profound's 2024 launch of Answer Engine Optimization and grew from 7 to 150+ tools in G2's AEO category through 2026.
Why now. GoodFirms 2026: 89% of brands appear in AI citations; only 14% measure them. Seer Interactive: brands cited in AI Overviews see +91% paid CTR / +35% organic clicks. ALM Corp/Ahrefs 2026: only 38% of AIO-cited pages now also rank top-10 in Google — down from 76% seven months earlier. The rank-vs-citation decoupling means traditional SEO tools can't see what's happening.
Category state. 11+ major vendors at price points from free (HubSpot AEO Grader) to enterprise ($499–$2,000+/mo Profound, AthenaHQ). Profound led a $96M Series C at $1B valuation in February 2026. Google Search Console added AI Overviews/AI Mode impression reporting on June 3, 2026 — pushing paid vendors toward citation-level and agentic differentiators. For the broader brand-awareness lens, see brand visibility in AI search.
Why AI visibility tracking matters in 2026
The measurement gap is the headline. GoodFirms 2026 (n=100 marketers across 20+ countries): 89% of brands now appear in AI citations; 43% target AI visibility; only 14% actually measure it. Forrester (April 2026): 90% of B2B marketing leaders treat AI visibility as at least investment-level priority — and explicitly told B2B teams to stop leading AI reporting with click metrics. The gap between target and measurement is closing fast.
The citation upside is concentrated. Seer Interactive (Sep 2025): brands cited inside AI Overviews see +91% paid CTR and +35% organic clicks. Princeton's GEO research (Aggarwal et al., 2024) isolated which content edits move the needle: Quotation density +42.6%, Statistics density +32.8%, Cite Sources +27.7%. These are content edits, not link campaigns — measurable in weeks, not quarters.
Traditional rankings no longer predict AI citations. ALM Corp/Ahrefs 2026: only 38% of pages cited in AI Overviews also rank Google top-10 — down from 76% just seven months earlier. The rank-vs-citation decoupling means SEO tools can't see what's happening. Google added AI Overviews and AI Mode impression reporting to Search Console on June 3, 2026 — but only at the impression level, not citation-level.
AI answers are probabilistic, so monitoring must be statistical. Fishkin & O'Donnell (~3,000 runs, 2026): less than 1-in-1,000 odds of two AI runs producing the same ordered brand list. 40–60% of cited URLs shift month-to-month for identical queries (ASEO Hosting / Profound 2025–2026); drift expands to 70–90% over 6 months. Only 30% of brands remain visible in back-to-back responses to the same query.
The forward problem. Google AI Mode passed 1 billion monthly users at I/O 2026. ChatGPT crossed 900M weekly users and 2.5B prompts/day (OpenAI Feb 2026). OpenAI confirmed ad testing in ChatGPT on January 16, 2026 — meaning paid placements may displace organic citations. Monitoring tools that capture citation-level data and disambiguate paid vs organic will be the winners.
See full source list in Sources below.
AI visibility tracking platforms: 11 vendors compared
Verified mid-2026 pricing, engine coverage, and differentiators. Rendered as ItemList schema for AI extraction.
| Vendor | Engines tracked | Cadence | Entry pricing | Notes |
|---|---|---|---|---|
| TurboAudit | ChatGPT, Perplexity, Gemini | Daily | Free / $39.99/mo | Audit + monitor combo: 250+ AI checks + 12-section monitoring |
| Profound | 11 platforms (ChatGPT, Perplexity, AIO, AI Mode, Copilot, Claude, Gemini, Grok, Meta AI, DeepSeek, Amazon Rufus) | Daily, direct-interface | $99/mo Starter (ChatGPT only); enterprise quote | $96M Series C @ $1B Feb 2026; Prompt Volumes; Agent Analytics |
| Semrush AI Visibility Toolkit | ChatGPT, Perplexity, Gemini, AIO | Daily | $99/mo add-on per domain (effective floor $239 with Pro) | 25-prompt cap; SoV weighted by prompt volume since Oct 2025 |
| Peec AI | ChatGPT, Perplexity, Google AI (Claude add-on) | Daily | €89 / €199 / €499+ | $29M raised, $4M+ ARR in 10 months; 115+ languages |
| Otterly.ai | ChatGPT, Perplexity, AIO, Gemini (Copilot + AI Mode add-on) | Daily | $29 Lite (15 prompts) / $189 / $489 | Gartner Cool Vendor 2025; pioneered Brand Visibility Index |
| AthenaHQ | ChatGPT, Gemini, Claude, Perplexity, Copilot, AIO | Daily | $270/$295 Lite, $545, $2,000+ Enterprise | Y Combinator; QVEM model; ACE Citation Engine; Grüns case 2.0% → 12.6% |
| HubSpot AEO Grader | ChatGPT (GPT-5.4 mini), Perplexity, Gemini | Single-shot | Free | 100 test queries; SoV = 10/100 points of AEO score; not continuous |
| Hall AI | Multi-engine + server-log agent analytics | Weekly (Lite) / Daily (paid) | Free Lite (25 questions) / $199 / $499 / $1,499 | Sydney-based, $2M Blackbird seed; server-log Agent Analytics |
| Scrunch AI | Multi-engine | Daily | $250–300+/mo entry; Agency $500 | SOC 2 Type II; SAML/OAuth SSO; hallucination detection |
| Evertune | ChatGPT, Claude, Gemini, Perplexity | Daily; 1M custom prompts/brand/month | €450–800/mo public; mostly custom | $19M total funding; Visibility Boost ad agent May 2026; EverPanel 150M+ consumer prompts |
| Bluefish AI | ChatGPT, Perplexity, AIO, Gemini | Daily | Quote only (Fortune-500 focus) | Impact Score + Influence Rank; brand protection focus |
Bottom line: Profound leads on engine breadth (11 platforms) and enterprise depth. Semrush AI Visibility Toolkit wins on convenience if you're already a Semrush customer. Otterly and TurboAudit lead on entry-tier pricing. HubSpot AEO Grader is the best free single-shot baseline. The right tool depends on engine mix, prompt count needs, and whether you also want a page-level audit alongside monitoring.
Compare in depth: TurboAudit vs Profound · TurboAudit vs Peec AI · Profound vs Hall AI
AI visibility tracking vs traditional SEO tracking
Same goal (be visible to your audience). Different surfaces, signals, statistics, and tools.
| Dimension | Traditional SEO Tracking | AI Visibility Tracking |
|---|---|---|
| Surface | Google SERP ranks (blue links + features) | AI-generated answers (ChatGPT, Perplexity, AIO, Gemini, Copilot, Claude) |
| Primary metric | SERP position | Brand Mention Rate + Citation Rate |
| Determinism | Deterministic (rank doesn't shift hourly) | Probabilistic — <1-in-1,000 odds of identical brand list across runs (Fishkin & O'Donnell ~3,000 runs) |
| Volatility | Quarterly algorithm updates | 40–60% monthly URL drift on same query |
| Sample size required | 1 query = 1 rank | Minimum 30 runs per query per platform for 95% CI (Maximus Labs) |
| Tooling | Semrush, Ahrefs, Moz, AccuRanker | Profound, AthenaHQ, Peec, TurboAudit, Otterly, HubSpot Grader |
| Cadence | Daily rank checks | Daily prompt re-runs (most enterprise tools) |
| Pricing range | $99–$500+/mo | Free (HubSpot Grader) to $2,000+/mo (enterprise) |
| Coverage | Google + Bing index | 10+ AI engines (varies by tool) |
| What it diagnoses | Why content doesn't rank | Why brand isn't mentioned or cited |
Most teams now run both. Traditional SEO tools (Semrush, Ahrefs, Moz, AccuRanker) for SERP ranks and backlinks. AI visibility tracking tools (Profound, AthenaHQ, Peec, Otterly, TurboAudit) for citation rate, mention frequency, and Share of Voice. They complement each other; neither replaces the other.
How AI visibility tracking actually works
Two methods are in use across the category as of mid-2026. Most enterprise tools combine both.
Method 1 — Prompt simulation
Vendor maintains a customer-defined prompt set, re-runs prompts daily through engine APIs or direct interfaces, parses each response for brand mentions, position, sentiment, and cited URLs. Profound publicly emphasizes "direct-interface monitoring" rather than API-only, claiming it captures behavior the API misses.
Used by: Profound, Peec AI, Otterly, AthenaHQ, HubSpot AEO Grader, Semrush, Evertune, TurboAudit.
Method 2 — Server-log agent analytics
Parsing site logs for AI crawler/agent user agents (ChatGPT-User, GPTBot, OAI-SearchBot, PerplexityBot, ClaudeBot, GoogleOther) to detect when AI engines actually fetch your pages. Tells you who crawled — not whether your brand made the cut.
Used by: Hall AI (lead), Scrunch, Profound (combined).
Both have limitations. Prompt simulation depends on prompt set quality and is API-rate-limited; some tools query through frontend interfaces to avoid sampling bias. Server-log analytics tells you crawler behavior but not citation outcome. Combined approach wins for enterprise reporting. Google Search Console added AI Overviews/AI Mode impression reporting on June 3, 2026 (CMSWire); Microsoft Clarity added AI channel groups on August 29, 2025 — both impression-only, not citation-level.
How to start AI visibility tracking (7 steps)
The end-to-end process — from prompt selection to statistical rigor to tool selection to optimization. Ship the top 3 fixes within a week.
- 1
Define your prompt set
Start with 20–30 priority prompts to baseline; expand to 30–300 for full coverage. Mix branded ("is [your brand] good for X?"), unbranded category ("best [category] tools 2026"), and competitor-vs ("[your brand] vs [competitor]") prompts.
Fix: Document prompt rationale alongside each one. Run a quick HubSpot AEO Grader baseline (free) to validate prompt selection before paying for daily tracking.
- 2
Pick which engines to track
Tier 1 mandatory mid-2026: ChatGPT + ChatGPT Search, Google AI Overviews + AI Mode (1B monthly users at I/O 2026), Perplexity, Microsoft Copilot, Google Gemini, Claude. Tier 2 commonly offered: Grok (xAI), DeepSeek, Meta AI. Pick at least 3 — Profound, Peec, and Otterly all start with 3 base engines.
Fix: Confirm vendor pricing scales with engine count (Peec charges €20–30 per added engine). Don't pay for engines you don't sell into.
- 3
Set sampling rigor (the statistical core)
Maximus Labs methodology: minimum 30 sampling runs per query per platform with 95% confidence intervals. The CI is the primary deliverable, not the point estimate, because AI citations vary 40–60% month-over-month. Lighter floor (Averi.ai, LLM Pulse): 3–5 runs per prompt per engine.
Fix: Don't trust any single-run snapshot for SoV reporting. Demand CI bands. Most tools default to under-sampling for cost; this is a vendor-selection criterion.
- 4
Choose your tracking method
Two methods, most enterprise tools combine. Method 1: prompt simulation — re-run prompts daily through engine APIs or direct interfaces, parse responses for brand mentions, position, sentiment, cited URLs. Method 2: server-log agent analytics — parse site logs for AI crawler user agents (GPTBot, OAI-SearchBot, PerplexityBot, ClaudeBot, GoogleOther) to detect actual fetches.
Fix: Prompt simulation alone misses crawler reality; server-logs alone miss whether you made the cut. Profound emphasizes direct-interface monitoring over API-only; Hall AI leads on server-log analytics.
- 5
Define your KPIs — mention vs citation matter
7-metric framework (Averi 2026): Citation Frequency, Brand Visibility Score, AI Share of Voice, Citation Position, AI Referral Traffic, AI-Attributed Pipeline, Branded Search Lift. Critical distinction: Mention = brand named in answer (recognition); Citation = your URL linked (drives referral traffic). They move independently — revenue correlates more with citation.
Fix: Pick 3 primary KPIs for executive reporting: Citation Rate, Share of Voice (with CI), Missed Prompts (queries where competitors appear but you don't).
- 6
Pick a tool that fits scope + budget
Free single-shot: HubSpot AEO Grader (100 queries, GPT-5.4 mini + Perplexity + Gemini). Budget continuous: Otterly $29/mo or TurboAudit $39.99/mo. Mid-market: Peec €89, Otterly Standard $189, AthenaHQ $270. Enterprise: Profound $499+, AthenaHQ $2,000+, Evertune custom.
Fix: Pricing scales fast with prompts and domains. Semrush AI Visibility Toolkit looks cheap at $99/mo but requires Semrush Pro base ($139.95) — effective floor $239/mo with 25-prompt cap.
- 7
Measure → optimize → re-measure
Average B2B SaaS AI Presence Score: 56.9/100; 44% of 50 firms scored under 50 (DerivateX 2026 benchmark). Top quartile cites at 31×/mo; bottom quartile at 3.7×/mo — an 8.4× gap (Data-Mania 2026). The gap closes with Princeton GEO levers: Quotation +42.6%, Statistics +32.8%, Cite Sources +27.7%.
Fix: Track monthly. Apply edits weekly. Re-baseline quarterly. The Grüns case study (AthenaHQ, Q3 2025) went 2.0% → 12.6% SoV in 60 days with this loop.
Which AI engines to track in 2026
The mandatory engine list keeps growing. Google AI Mode passed 1 billion monthly users at I/O 2026 — it's no longer optional.
Tier 1 — Mandatory
- ChatGPT + ChatGPT Search
- Google AI Overviews
- Google AI Mode (1B+ users May 2026)
- Perplexity
- Microsoft Copilot
- Google Gemini
- Claude
Tier 2 — Commonly offered
- Grok (xAI)
- DeepSeek
- Meta AI
- Amazon Rufus
Profound and AthenaHQ are the broadest here.
Tier 3 — Regional / emerging
- Mistral Le Chat
- Yandex AI Mode
- Baidu AI
No major Western vendor surfaces these as standard targets as of June 2026.
KPIs and metrics: the 7-metric framework
Averi's 2026 framework is the most cited industry standard. Distill to 3 for executive reporting.
Citation Frequency
How often your URL appears as a cited source in AI answers across the prompt set.
Brand Visibility Score
Composite metric — appearance rate × position × sentiment. Used for trend reporting.
AI Share of Voice
% of mentions your brand gets vs competitors in the same prompt set. See /ai-share-of-voice for full methodology.
Citation Position
Where your URL appears in the cited-sources list (early = stronger signal).
AI Referral Traffic
Sessions tagged as originating from AI engines (UTM tagging + Microsoft Clarity AI traffic detection).
AI-Attributed Pipeline
Pipeline value (B2B) tied to AI-influenced first-touch attribution. Forrester recommends this over click metrics for AI reporting.
Branded Search Lift
Increase in branded Google searches following AI exposure — proxy for unmeasurable AI-driven awareness.
Critical distinction: Mention ≠ Citation. A URL can be cited without the brand being named (recognition gap). The brand can be named without a URL link (referral gap). Revenue correlates more strongly with citation; awareness correlates more with mention. Track both. See /ai-share-of-voice for SoV calculation methodology.
Brand case studies: what good looks like
Five verified public case studies (all AthenaHQ, 2025–2026). Common thread: daily measurement + targeted content edits + dedicated team.
Grüns
AI Share of Voice 2.0% → 12.6% in 60 days (6×); citation rate 0.3% → 7.0% (23×); brand mentions 4% → 25%. ~70% of citations from Athena-created content.
Source: AthenaHQ public case studies, Q3 2025
Lago
AI Overview impressions 3% → 33% (11×); ~50% of booked demos influenced by Athena GEO work.
Source: AthenaHQ public case studies, 2026
Rootly
10× citation growth across AI engines.
Source: AthenaHQ public case studies, 2026
AutoRFP.ai
10× ChatGPT traffic.
Source: AthenaHQ public case studies, 2026
Popl.co
38% MoM lead growth from AI search.
Source: AthenaHQ public case studies, 2026
The pattern. Generic content doesn't move AI visibility. Differentiated content with high citation density (Princeton: Quotation +42.6%, Statistics +32.8%, Cite Sources +27.7% — see the 7 AI search ranking factors) plus daily measurement and tight iteration produces the multipliers above. None of these brands achieved this on a quarterly check-in cadence.
The 90-day rollout: from zero to measured
How a team that has never tracked AI visibility gets to a defensible Day-90 baseline with confidence intervals.
Days 1–30 · Foundation
- Define 20–30 priority prompts (branded + unbranded + competitor-vs)
- Pick 3+ engines (ChatGPT, Perplexity, AIO at minimum)
- Run a free HubSpot AEO Grader baseline (single-shot)
- Pair with a free AI search visibility audit to diagnose page-level citation gaps
- Select tracking tool (free → $29 Otterly / $39.99 TurboAudit → mid-market → enterprise)
Days 31–60 · Measurement
- Daily tracking begins with 30+ runs per query per platform for 95% CI
- Compute baseline AI SoV with confidence intervals
- Identify Missed Prompts (queries where competitors appear but you don't)
- Set executive reporting cadence (weekly Citation Rate, monthly SoV + CI)
Days 61–90 · Optimization
- Apply Princeton GEO levers: Quotation density (+42.6%), Statistics density (+32.8%), Cite Sources (+27.7%)
- Schema content-match validation (Ahrefs May 2026: schema alone is NOT a citation signal — content-match matters)
- Close citation gaps on Missed Prompts via dedicated content
- Re-baseline at Day 90; compare to Day 1 with CI overlap test
Frequently asked questions
What is AI visibility tracking?+
AI visibility tracking is the practice of monitoring how often, how prominently, and how favorably AI engines (ChatGPT, Perplexity, Google AI Overviews, Copilot, Gemini, Claude) mention and cite your brand in their generated answers. The category took shape in 2024 alongside Profound's launch of Answer Engine Optimization and grew from 7 to 150+ tools in G2's AEO category through 2026.
How is it different from AI brand monitoring?+
Mostly overlapping but with a slight emphasis difference. AI brand monitoring tends to emphasize mention frequency and sentiment. AI visibility tracking is the broader umbrella, covering both mentions and URL-level citations across AI surfaces. In practice the same tools (Profound, Peec, Otterly, AthenaHQ, TurboAudit) sell both labels.
How is it different from rank tracking?+
Rank tracking measures SERP position in deterministic search engines. AI visibility tracking measures probabilistic appearances in AI-generated answers. The Fishkin & O'Donnell study (~3,000 runs, 2026) found less than 1-in-1,000 odds of two AI runs producing the same ordered brand list. AI citations also shift 40–60% month-to-month for identical queries (ASEO Hosting / Profound 2025–2026). Different measurement discipline required.
Why can't I just use Google Search Console?+
Google added AI Overviews and AI Mode impression reporting to Search Console on June 3, 2026 — but only at the impression level. You see that your URL appeared, not whether your brand was mentioned in the answer, the position of the mention, the sentiment, or what other sources were cited alongside. For citation-level intelligence and cross-engine coverage, dedicated AI visibility tracking is still needed.
What KPIs should I track?+
The Averi 2026 7-metric framework: Citation Frequency, Brand Visibility Score, AI Share of Voice, Citation Position, AI Referral Traffic, AI-Attributed Pipeline, Branded Search Lift. For executive reporting, distill to 3: Citation Rate, Share of Voice (with confidence intervals), and Missed Prompts. Critical: distinguish Mention (brand named) from Citation (URL linked) — revenue correlates with citation.
How often should I track AI visibility?+
Daily. AI citations shift 40–60% month-to-month for the same query (ASEO/Profound 2025–2026). Weekly cadence misses the majority of drift between checkpoints. Most enterprise tools default to daily re-runs; Hall AI Lite is the rare exception at weekly. Manual monitoring is too sparse to be reliable.
What's the cheapest AI visibility tracking tool?+
Free for a single-shot baseline: HubSpot AEO Grader (100 test queries across ChatGPT GPT-5.4 mini, Perplexity, Gemini). Cheapest continuous tracking: Otterly.ai at $29/mo (15 prompts, Lite). TurboAudit Free includes 5 audits and AI monitoring preview. For paid daily tracking with enough prompts to be statistically meaningful, plan on $39.99/mo (TurboAudit Starter) to $89/mo (Peec entry).
Is the free HubSpot AEO Grader enough?+
It's a great first baseline — 100 test queries across 3 engines (ChatGPT GPT-5.4 mini, Perplexity, Gemini) with a /100 AEO score that includes Sentiment (40 pts), Presence Quality (20), Brand Recognition (20), Share of Voice (10), Market Competition (10). Limitations: single-shot (not continuous), only 3 engines, no custom prompt set, no historical trend, no citation-level URL data, English-only. Position it as awareness-stage, not as a tracking platform.
How many prompts do I need?+
Industry consensus mid-2026: 20–30 priority prompts to baseline; 30–300 for full coverage daily. Sample size per prompt is more important than count: Maximus Labs methodology requires 30+ runs per query per platform with 95% confidence intervals because 40–60% monthly drift makes single-shot measurements noise.
How is AI Share of Voice calculated?+
There is no industry-standard formula as of mid-2026. HubSpot AEO Grader: SoV = 10/100 of overall AEO score, computed as % of 100 test queries where your brand appears vs competitors. Semrush Enterprise AIO: SoV = mention count + position within response, aggregated across prompts, weighted by prompt volume since Oct 2025. Profound: visibility score + SoV across 11 platforms using direct-interface (not API) responses. Generic industry formula: (Your Mentions ÷ Total Mentions in same prompt set) × 100. See /ai-share-of-voice for full methodology.
Profound vs Semrush AI Visibility Toolkit — which?+
Profound is the broader, enterprise pick: 11 platforms tracked, 150+ regions, 30+ languages, daily direct-interface monitoring, $1B Series C in Feb 2026. Semrush AI Visibility Toolkit is the convenience pick if you're already paying for Semrush Pro: 4 engines, $99/mo add-on (effective floor $239/mo), 25-prompt cap, SoV weighted by prompt volume since Oct 2025. Reviewer consensus (99signals, Profound, Founderpass): Semrush's bolt-on is weaker than dedicated tools on depth.
How do I get started with TurboAudit?+
Start with the free plan: 5 audits, 1 domain, AI monitoring preview. The audit identifies the citation-eligibility gaps (250+ checks across 7 AI-specific dimensions). The monitoring preview shows the 12-section dashboard (Brand Visibility Index, Competitor Share, Trend, Brand Perception, Source Ecosystem, Cited URLs, Third-Party Citations, Authoritative Sources, Link Opportunities, Missed Prompts, Top Prompts, Priority Actions). Upgrade when you need higher audit volume or production monitoring across ChatGPT, Perplexity, and Gemini.
Sources
- GoodFirms 2026 — 89% of brands appear in AI citations; only 14% measure them. n=100 marketers across 20+ countries, Jan–Feb 2026 fieldingglobenewswire.com
- Seer Interactive — AI Overviews CTR study (Sept 2025); +91% paid / +35% organic CTR uplift for cited brands; −61% organic CTR drop with AIO presentseerinteractive.com
- ALM Corp / Ahrefs — AI Overview citation overlap with top-10 rankings dropped from 76% to 38% in 7 months (2026)almcorp.com
- Ahrefs DiD schema study (May 2026) — 1,885 pages; schema markup NOT statistically significant for AI citation; AIO −4.6% NSahrefs.com
- Princeton GEO paper — Aggarwal et al., arXiv:2311.09735, KDD 2024 (Quotation +42.6%, Statistics +32.8%, Cite Sources +27.7%)arxiv.org
- ASEO Hosting + Profound — 40–60% of cited URLs shift month-to-month for identical queries (2025–2026)tryprofound.com
- Profound Series C — $96M at $1B valuation, Lightspeed lead, Feb 24 2026fortune.com
- G2 — AEO category grew from 7 to 150+ products through 2026techintelpro.com
- Maximus Labs methodology — minimum 30 sampling runs per query per platform with 95% confidence intervals (2026)maximuslabs.ai
- Averi.ai — 2026 7-metric framework for AI visibility (Citation Frequency, Brand Visibility, AI SoV, Citation Position, AI Referral, AI Pipeline, Branded Search Lift)averi.ai
- DerivateX 2026 Benchmark Report — 50 B2B SaaS firms; avg AI Presence Score 56.9/100; 44% scored <50derivatex.agency
- Data-Mania 2026 — Top-quartile SaaS sites cite 31× / mo; bottom quartile 3.7× — 8.4× gapdata-mania.com
- Forrester (April 2026) — 90% of B2B marketing leaders rank AI visibility as investment-level priorityauthoritytech.io
- Gartner 2026 CMO Spend Survey — CMOs allocate 15.3% of marketing budgets to AI; only 30% mature to scale (May 2026)gartner.com
- Google Search Console — added AI Overviews/AI Mode impression reporting June 3, 2026cmswire.com
- AthenaHQ public case studies — Grüns 2.0% → 12.6% SoV in 60 days; Lago 11× AIO impressions; Rootly 10× citation growthathenahq.ai
Every statistic on this page is tied to a publicly available 2024–2026 source. Where evidence depends on a single vendor benchmark, that limitation is flagged in the relevant section. No Gartner or Forrester report specifically sizes the AI visibility tracking market as of June 2026 — market-sizing forecasts cited are from mid-tier firms (IntelMarketResearch, MarketIntelo).
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