Reviewed by Nick French · 10yrs B2B SaaS sales (BDR → AE → Head of Revenue) · Methodology →
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OmniSEO: Track Your Brand Across ChatGPT, Perplexity, Gemini & 6 More AI Engines
OmniSEO is the Generative Engine Optimization (GEO) platform we recommend for B2B SaaS marketers, content teams, agencies, and ICP-narrow brands where AI search is starting to drive demand. It tracks brand citations and mentions across ChatGPT, Perplexity, Google AI Overviews / AI Mode, Gemini, Copilot, Claude, Meta AI, Grok, and DeepSeek — and benchmarks visibility against competitors with prompt-level granularity. Explorer at $100/mo gets you ChatGPT-only as a proof-of-concept; Growth at $500/mo unlocks all 9 LLMs at 700 prompts. Honest review: where OmniSEO wins, where Profound or Peec AI fit better, and why you still need Ahrefs or Semrush for traditional SERP work.
Entry pricing
$100/mo
Explorer — 100 prompts, ChatGPT only
AI engines covered
9 LLMs
ChatGPT, Perplexity, Gemini, Claude + 5 more
Best fit
B2B SaaS + agencies
ICP-narrow brands testing AI search
Category
GEO (purpose-built)
Not an Ahrefs / Semrush add-on
Operator verdict
Why we recommend OmniSEO
1
The friction
You can't see whether your brand shows up inside ChatGPT or Perplexity.
The shift is already happening: B2B buyers increasingly start research inside an LLM instead of Google. The model's first answer pre-filters which 3-5 vendors get to the shortlist — and if you're not in that answer, you don't get evaluated. Ahrefs and Semrush track Google SERPs and (lately) AI Overview snippets, but don't natively monitor ChatGPT, Perplexity, Claude, Gemini, Copilot, Meta AI, Grok, or DeepSeek as standalone surfaces. Most marketing teams have zero visibility into where they're showing up across AI engines, and zero visibility into whether competitors are.
2
OmniSEO's answer
One platform tracks brand citations across 9 AI engines, with prompt-level granularity.
Purpose-built for AI surfaces, not a Semrush feature bolt-on.
OmniSEO was built from day one for AI engines, not retrofitted from a legacy SEO platform. That shows up in three places: 9-engine coverage that includes the engines competitors skip (Meta AI, Grok, DeepSeek), prompt-discovery surfacing high-volume / low-competition queries to seed your prompt library, and competitor benchmarking that flags emerging brands gaining citation share before you'd notice in any other tool. Stevie / Netty / Sammy 2025 awards and 100+ brands using it are the external signals that the product is real. This is what the next 5 years of marketing measurement looks like — start baselining now.
What OmniSEO actually costs vs. competitors
Side-by-side comparison
Annual cost across GEO buyer scenarios
Excludes traditional SEO platforms (Ahrefs / Semrush) — those are complementary, not replacements. Operator-reported quotes Q1-Q2 2026; confirm current pricing on each vendor's site.
Feature / outcome
OmniSEO
Profound
Peec AI
Otterly AI
Winner
Solo brand testing the category
$1,200/yr (Explorer, ChatGPT only)
— (enterprise floor, not for solo)
~$1,500-$3,000/yr (mid-tier)
~$1,200-$2,400/yr (entry plans)
OmniSEO ✓Lowest entry point to start tracking AI visibility
Mid-market B2B SaaS, single brand
$6,000/yr (Growth, all 9 LLMs)
~$24K-$48K+/yr (enterprise pricing)
~$8K-$15K/yr (mid-tier)
~$4K-$10K/yr (mid-tier)
OmniSEO ✓9-engine coverage + competitor benchmarking at SMB price
Agency tracking 5+ client brands
Enterprise custom (multi-brand)
~$60K-$120K+/yr (multi-brand built-in)
~$25K-$60K/yr (per-client tier stacks)
~$15K-$40K/yr (per-client tier stacks)
Profound ✓Multi-brand + agency motion is Profound's core wedge at scale
Tally: OmniSEO wins solo and mid-market single-brand. Profound wins multi-brand agencies and enterprise. Peec AI / Otterly AI compete on price at SMB but are thinner on engine coverage. Pick OmniSEO unless you're a F500 brand with multi-region or an agency tracking 10+ clients.
OmniSEO pricing reflects published tiers (Explorer $100/mo, Growth $500/mo, Enterprise custom). Competitor pricing reflects operator-reported ranges as of Q1-Q2 2026 — most GEO platforms have opaque or sales-led pricing, so confirm current quotes on each vendor's site before committing.
What OmniSEO gets right
Engine coverage
9 AI engines tracked (ChatGPT, Perplexity, Gemini, Claude + 5 more)
ChatGPT, Perplexity, Google AI Overviews / AI Mode, Gemini, Copilot, Claude, Meta AI, Grok, DeepSeek — wider than Otterly AI or Rankability and matches what enterprise platforms charge 5-10x more for. Includes the long-tail engines (Meta AI, Grok, DeepSeek) most competitors skip.
Purpose-built
Built for AI surfaces, not a Semrush add-on
OmniSEO was engineered from day one for AI engines instead of being a feature bolted onto a legacy SEO platform. That shows up in prompt-level granularity, accurate citation tracking across LLM response variability, and a UX optimized for 'where do I show up' instead of 'where do I rank.'
Competitor benchmarking
Tracks visibility share across competitors with prompt-level cuts
Drop in your top competitors and OmniSEO surfaces who wins which prompts, who's emerging, and who's losing share. The most useful pattern: spotting competitors that didn't show up six months ago and now consistently win problem-aware prompts — early signal they're investing in AI-surface content.
Prompt discovery
Surfaces high-volume / low-competition prompts to seed the library
The prompt library design is the work in GEO, and OmniSEO's discovery feature gives you a reasonable starting draft instead of a blank page. Treat the AI-suggested prompts as a draft to iterate, not gospel — most operator teams refine the library quarterly.
Recommendations
Prioritized actions by engine, intent, and topic
Instead of dumping a raw visibility report on you, OmniSEO surfaces prioritized recommendations — which prompts are highest-leverage to fix, which engines are easiest wins, which topics deserve a content sprint. Skews content over technical, but that matches where most B2B teams have leverage.
Awards + adoption
Stevie / Netty / Sammy 2025; 100+ brands using
External signals that the product is real, not vapor. The GEO category is full of vapor right now (six-month-old startups with thin product) — multiple industry awards and a published customer list reduce category-risk meaningfully.
Multi-brand on Enterprise
Agency-friendly multi-brand workspace
Enterprise tier supports multi-brand workspaces, API access, SSO, dedicated GEO specialists, and an SLA — the right shape for agencies tracking 5+ client brands or holdco brands tracking multiple sub-brands. Pricing is custom; pressure-test the breakpoint vs stacked Growth seats.
When NOT to pick OmniSEO
Buyers don't research on AI yet
Your category buyers don't start in ChatGPT / Perplexity
GEO is a leading-indicator investment. If your category sells into buyers who don't yet use LLMs for research (some heavily regulated industries, some legacy enterprise buying centers, some pure-local SMB motions), the visibility you'd track may not move pipeline for another 12-24 months. Honest call: pilot on Explorer, but don't fund a full motion until you see real LLM-referral signal in your closed/won interviews.
Sub-$100/mo budget
You can't justify $100/mo as the floor
The Explorer tier at $100/mo gets you 100 prompts and ChatGPT only — useful as a proof-of-concept but real GEO motions need all 9 engines (Growth at $500/mo). If $100/mo is the ceiling, OmniSEO isn't a fit yet — better to invest that budget in Ahrefs Lite or a content sprint and revisit GEO tracking once budget grows.
Need traditional SERP rank
You need Google SERP rank tracking + technical SEO
OmniSEO does not replace Ahrefs or Semrush. It tracks AI engines, not the 10 blue links, technical SEO health, backlink profiles, or keyword-level Google ranks. The honest 2026 stack is Ahrefs (or Semrush) + OmniSEO (or Profound / Peec AI) — they are complements, not substitutes. Don't cancel Ahrefs to fund OmniSEO.
Local SMB
Local service business or hyperlocal SMB
GEO matters less when the buying motion is 'find a plumber in my zip code' or 'best dentist near me' — those queries still resolve overwhelmingly through Google Maps + local pack, not LLM answer engines. Local SMBs should anchor on Google Business Profile + traditional local SEO before paying $100/mo for AI-engine tracking they can't yet act on.
Prompt library is the work
You don't have time to design + maintain a prompt library
OmniSEO's value compounds with prompt library quality. The discovery feature gives you a starting draft, but a useful library needs problem-aware / solution-aware / vendor-aware coverage tied to your buyer journey, plus quarterly maintenance as the category shifts. Teams that buy GEO software but never invest the 4-8 hours/month to maintain the library get diminishing returns. Plan for that overhead before you sign up.
Profound is the deeper enterprise GEO platform — multi-region tracking, brand-share analytics across geographies, dedicated analyst relationships. Above F500 scale with multi-region tracking and 10+ analyst seats, Profound earns its premium over OmniSEO Enterprise. Pressure-test both with a side-by-side trial before committing to either at enterprise pricing.
How OmniSEO stacks up vs. competitors
Side-by-side comparison
Capability comparison across GEO + traditional SEO
Where each vendor has the structural lead. Note: Ahrefs is included for context — it's a different category (traditional SEO) but is the most common 'do I need OmniSEO if I have this' comparison.
Feature / outcome
OmniSEO
Profound
Peec AI
Otterly AI
Ahrefs
Winner
AI engine coverage
✓9 engines (ChatGPT, Perplexity, Gemini, Claude + 5 more)
✓10+ engines (deepest)
~5-7 engines
~4-6 engines
—Google AI Overviews snippets only
Profound ✓Slightly deeper engine coverage at enterprise tier
Entry-level pricing
✓$100/mo Explorer (ChatGPT only)
—Enterprise floor (no entry tier)
~~$130-$250/mo entry
~~$100-$200/mo entry
~$129/mo Lite (covers SERP + AI Overviews)
OmniSEO ✓Lowest GEO entry point with a real product behind it
Mid-tier (single brand, all engines)
✓$500/mo Growth (700 prompts, 9 LLMs)
—~$2K-$4K/mo (enterprise scaled down)
~~$650-$1,250/mo mid-tier
~~$330-$830/mo mid-tier
—$249-$499/mo (different category)
OmniSEO ✓Best price/coverage ratio at single-brand mid-market
Profound ✓Built around agency + holdco multi-brand motion
Prompt discovery (high-volume / low-competition)
✓native, surfaces seed prompts
✓native, deeper at enterprise
~manual prompt entry
~manual prompt entry
—keyword research (different surface)
OmniSEO ✓Best discovery feature at SMB price
Traditional Google SERP rank
—not in scope
—not in scope
—not in scope
—not in scope
✓category leader
Ahrefs ✓Different category — pair Ahrefs + OmniSEO for full coverage
Tally: OmniSEO wins entry pricing, mid-tier price/coverage ratio, and prompt discovery. Profound wins enterprise depth, multi-brand, and competitor analytics. Ahrefs is a different category — pair them, don't substitute. Pick OmniSEO unless you're enterprise multi-region or running an agency tracking 10+ brands.
How teams actually use OmniSEO
B2B SaaS marketing baselining AI visibility: Series-A through Series-C SaaS marketing teams running their first GEO motion. Explorer for one quarter to baseline whether the brand shows up at all in ChatGPT answers; upgrade to Growth once the prompt library outgrows 100 and competitor benchmarking matters. The mid-market sweet spot for OmniSEO.
Agencies adding GEO as a service line: SEO and content agencies layering GEO reporting + recommendations on top of existing traditional-SEO retainers. Enterprise tier for multi-brand client tracking, billed back to clients as a $500-$2K/mo line item — typical agency math is the OmniSEO license is a billable fraction of the bundled retainer.
Category-creating brands who need to win the category prompt: If you're defining a new category, the highest-leverage GEO move is winning the problem-aware prompt (“how do I do X”). OmniSEO surfaces that prompt and tracks who else is contesting it. Whoever owns the answer in the LLM owns the category narrative — same dynamic as owning the H1 of the SERP in 2012.
Content teams sourcing prompts to target: Content marketers building editorial calendars where the unit of work is “rank for this question in the LLM” instead of “rank for this keyword in Google.” OmniSEO's prompt-discovery feature seeds the editorial brief; recommendations prioritize which prompts have the highest leverage for content investment.
Competitive intel for emerging-brand detection: Use the competitor-benchmarking layer specifically to spot brands that didn't appear in your category six months ago and now consistently win problem-aware prompts. That's the early signal a competitor is investing in AI-surface content — useful for product, marketing, and corp-dev teams alike.
FAQ
What is GEO (Generative Engine Optimization) and why does it matter?+
GEO is the practice of optimizing for AI answer engines (ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews) instead of — or in addition to — the traditional 10 blue links. It matters because B2B buyers increasingly start research inside an LLM, and the model's first answer pre-filters which 3-5 vendors get evaluated. If you don't show up in that first answer, you don't get to the shortlist. OmniSEO is the tracking layer for whether you currently show up, and against whom — the equivalent of what Ahrefs / Semrush did for organic SERPs in 2010-2015.
OmniSEO vs Profound — which one wins?+
Different positioning. Profound is the enterprise-leaning GEO platform — pricing typically lands four-to-low-five figures monthly, deepest competitor benchmarking and brand-share analytics, sales-led motion. OmniSEO is the SMB-and-mid-market entry point — Explorer at $100/mo (ChatGPT only) and Growth at $500/mo (all LLMs) lets a single brand or agency get started without an enterprise procurement cycle. If you're a Fortune 500 brand with multi-region tracking and dedicated GEO analysts, Profound earns its premium. If you're a sub-Series-B SaaS, an agency tracking 5-15 client brands, or a category-creating brand testing whether AI search drives demand at all, OmniSEO is the cheaper way in.
Do I need OmniSEO if I already pay for Ahrefs or Semrush?+
Yes, if AI search is starting to drive demand for your category. Ahrefs and Semrush track Google SERP rank — the 10 blue links and (lately) AI Overview snippets. They do not natively track ChatGPT, Perplexity, Claude, Gemini, Copilot, Meta AI, Grok, or DeepSeek as standalone surfaces. OmniSEO is purpose-built for that layer. The honest stack in 2026 for B2B SaaS marketing teams is: Ahrefs or Semrush for traditional SERP + technical SEO + backlinks, plus OmniSEO (or Profound / Peec AI) for AI surfaces. They are complements, not replacements.
How do I build a useful prompt library inside OmniSEO?+
The prompt library design is the work — and it's where OmniSEO's value either compounds or stalls. Start by mirroring the buyer journey across three layers: problem-aware ('how do I track AI search visibility'), solution-aware ('best GEO tools for B2B SaaS'), and vendor-aware ('OmniSEO vs Profound'). Then layer in negative prompts (where you do NOT want to show up, e.g. competitor-branded queries) and prompt-volume estimation by intent. OmniSEO's prompt-discovery feature surfaces high-volume / low-competition queries to seed the list — but treat the AI-suggested prompts as a starting draft, not gospel. Most operator teams iterate the library quarterly.
When does GEO actually drive revenue (vs. just look good on a dashboard)?+
Honest answer: the ROI attribution layer is still being established as of mid-2026. There is no clean equivalent of 'organic search traffic from Google → CRM lead → closed/won' for AI engines yet — most LLMs send referral traffic without per-prompt attribution. What is real: pipeline interviews with closed/won customers increasingly cite ChatGPT or Perplexity as the discovery channel. The right way to use OmniSEO today is (1) baseline visibility before you do anything, (2) test which content types lift placement, and (3) ask every closed/won deal where they first heard about you. Treat OmniSEO as a leading indicator, not a closed-loop attribution platform.
What's the difference between OmniSEO Explorer and Growth?+
Explorer is $100/mo, 100 prompts, ChatGPT only. It's enough to run the first proof-of-concept on a single brand and answer the question 'do we even show up.' Growth is $500/mo, 700 prompts, all 9 LLMs covered (ChatGPT, Perplexity, Google AI Overviews / AI Mode, Gemini, Copilot, Claude, Meta AI, Grok, DeepSeek) — the right shape for a serious B2B SaaS marketing motion or an agency tracking a single client. The 5x price gap is structural: covering 9 engines × wider prompt count requires meaningfully more compute on OmniSEO's side. Most teams that get value from Explorer upgrade to Growth within a quarter once the prompt library outgrows 100.
Can OmniSEO track competitors automatically?+
Yes — competitor benchmarking is one of the platform's core wedges. Drop in a list of competing brands and OmniSEO tracks visibility share across your prompt library, surfacing which competitors win which prompts and which are emerging. The most useful pattern operator teams report: spotting competitors who didn't show up six months ago and now consistently win problem-aware prompts — early signal that they're investing in AI-surface content. Caveat: competitor lists need maintenance. Categories shift; you'll add and drop competitors quarterly to keep the benchmark honest.
Can agencies track multiple client brands on one OmniSEO account?+
Multi-brand support is an Enterprise tier feature — Growth at $500/mo is designed for a single brand. Agencies tracking 5+ client brands should price out Enterprise (custom pricing, includes API access, SSO, dedicated GEO specialists, and SLA). The agency math: if you're charging clients $500-$2K/mo for GEO reporting + recommendations, OmniSEO Enterprise pays for itself fast as a billable line item. If you're tracking just one or two clients, two Growth seats may be cheaper than the Enterprise floor — pressure-test the breakpoint with OmniSEO sales.