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AI SEO (also called generative engine optimization, or GEO) is the work of getting a company mentioned, recommended and cited in answers produced by ChatGPT, Perplexity, Gemini, Claude, Copilot and Google’s AI features. The seven companies below—Cognizo, Profound, OtterlyAI, Peec AI, Brandlight, Scrunch AI and AthenaHQ—cover different combinations of monitoring, diagnostics and execution support. No independent controlled test proves that one guarantees the most citations, so choose by engine coverage, measurement depth, workflow support and commercial fit rather than by a promised ranking.
What AI SEO companies actually do
Traditional SEO optimizes pages for crawler-based indexes and conventional result pages. AI SEO platforms query generative systems with a defined set of prompts, record whether a brand appears, and analyze which pages or domains those systems cite. The practical objectives are to increase accurate brand mentions, earn recommendations when a user is choosing a product or service, and make authoritative pages more likely to be cited.
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The category has two broad product camps:
- Monitoring platforms run prompts on a schedule and report visibility, competitors, sentiment or citations. They answer “What does each engine say about us?” but may leave the work of fixing weaknesses to your team.
- Full-stack platforms add audits, content briefs, crawlability checks, authority or citation-gap analysis, outreach targets, publishing workflows or managed services. These are more useful when an agency or in-house team needs a path from a missed mention to a completed fix.
Engine coverage is not a cosmetic feature. Research on GEO finds that AI-search systems differ in domain diversity, freshness, language stability and sensitivity to wording. A prompt that produces a citation in Perplexity may return a different set of sources in ChatGPT or Google AI Overviews. The same research reports a strong preference for earned, third-party authoritative media over brand-owned and social content. As the paper puts it: “Our key findings reveal that AI Search exhibit a systematic and overwhelming bias towards Earned media (third-party, authoritative sources) over Brand-owned and Social content.”
That finding changes the buying question. A dashboard can show that your brand is absent, but visibility normally improves only when the underlying content, technical access and independent authority improve as well.
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The seven-company shortlist at a glance
| Company | Best fit indicated by current material | Engine or prompt information | Execution and workflow signals | Commercial notes |
|---|---|---|---|---|
| Cognizo | Emerging GEO option for teams willing to validate scope directly | Not stated | Not stated | Pricing and partner terms not stated; verify current product |
| Profound | Enterprise marketing, AEO, content, demand and PR | Exact engine list not stated; AI search is one channel in a broader package | Broader marketing-agent positioning; confirm the specific audits and execution modules you receive | Enterprise-oriented; self-serve pricing reportedly changed materially in September 2026 |
| OtterlyAI | Agencies and multi-client SEO teams | Tracks ChatGPT, Google AI Overviews, AI Mode, Perplexity, Gemini and Copilot; vendor advertises seven AI engines | GEO and content audits, AI-crawler checks, citation-gap analysis, recommendations, workspaces, reports and Google Data Studio connector | Unlimited brands and agency partner program are documented; verify plan limits |
| Peec AI | SEO teams needing prompt-level visibility tracking | Starter: 50 prompts across three selected models; Advanced: 350 prompts across five projects (reported plan details) | Measurement-focused information; execution scope not stated | Buyer guide reports $95/month Starter and $495/month Advanced; confirm current prices |
| Brandlight | Emerging tool requiring product validation | Not stated | Not stated | Pricing and partner terms not stated |
| Scrunch AI | Content teams building broad prompt libraries | Reported starter coverage: ChatGPT, Claude, Gemini, Perplexity, Google AI Mode, AI Overviews and Meta | Prompt and content-team orientation; exact recommendation or publishing functions not stated | Reported starter allowance: 350 custom prompts and 1,000 industry prompts; recheck plans and prices |
| AthenaHQ | Enterprise and mid-market teams comparing model breadth | Five engines on reported free tier and eleven on reported Starter tier | Broader model coverage is indicated; audit and execution depth require confirmation | Classified as a broad-coverage option under $300/month in a 2026 buyer guide; verify names and prices |
These are capability and fit distinctions, not a performance ranking. The available material does not establish a common test in which one vendor wins visibility for the same prompts, countries and industries.
Detailed look at each AI SEO company
Cognizo: an emerging option to investigate
Cognizo appears on the May 2026 GEO-tool shortlist, but the category information provides little independent detail about its product scope, prompt limits, engine list, pricing or partner terms. Treat that absence as a buying task, not as evidence that the product lacks a feature.
Ask for a live demonstration using your own prompt set. Confirm whether the system stores answer snapshots, identifies page-level citations, separates engines and countries, and exports data for clients. Also ask whether recommendations are generated automatically or delivered as a service. Cognizo is most appropriate for a pilot in which you can verify those points before making it part of a recurring agency workflow.
Profound: enterprise visibility inside a wider marketing stack
Profound is positioned toward enterprise AI visibility and answer-engine optimization (AEO), while also covering content, demand and public relations. In that positioning, AI search is one channel in a broader marketing-agent package rather than a narrowly focused rank tracker.
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This can suit a large marketing organization that wants visibility data connected to content and PR planning. Procurement should clarify which engines and regions are included, how many prompts or projects are permitted, whether citations are resolved to individual URLs, and which recommendations are actionable without professional services. A later 2026 buyer guide describes Profound as enterprise-oriented and reports a material change to self-serve pricing in September 2026. Obtain a current quote and contract terms instead of relying on an older price.
OtterlyAI: the clearest agency workflow in this group
OtterlyAI publishes the most detailed agency workflow among the seven. Its agency offering describes brand-mention and website-citation tracking across ChatGPT, Google AI Overviews, AI Mode, Perplexity, Gemini and Copilot, plus workspace management, multi-client dashboards, unlimited brands, automated reports and a Google Data Studio connector. The vendor advertises “7 AI engines tracked in one place” and coverage of “65+ countries & languages.” Those are vendor-published figures, not an independent benchmark.
Its optimization functions go beyond observation: GEO audits, content audits, crawlability checks that use AI crawler identities, citation-gap analysis and prioritized on-page and off-page recommendations. That combination lets an agency assign a technical fix, a content update or an authority-building task from the same visibility diagnosis.
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Peec AI: prompt-level tracking for SEO teams
Peec AI is positioned as a prompt-level visibility tracker. A 2026 buyer guide reports a self-serve Starter plan at $95 per month for 50 prompts across three selected models and an Advanced plan at $495 per month for 350 prompts across five projects. Those figures can change, so confirm the current currency, billing term, model selection and overage policy.
Peec is a logical candidate when your main requirement is a disciplined prompt set: product comparisons, category questions, alternatives, local intent and branded queries. At the quoted limits, design prompts around the decisions that matter most instead of attempting to monitor every possible wording. Ask whether the platform supplies competitor share of voice, sentiment, citation URLs, scheduling and exports. The supplied positioning does not establish a full audit, outreach or publishing workflow, so budget for separate execution if those are required.
Brandlight: shortlist inclusion with limited public detail
Brandlight appears in the May 2026 GEO shortlist, but the available category material supplies little detail beyond inclusion. Its current engine coverage, prompt capacity, measurement fields, recommendation system, pricing and agency controls should all be verified directly.
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A sensible evaluation is a time-boxed proof of concept. Provide a fixed prompt list and require an export showing answer text, brand mentions, competitors and source URLs for each engine. Then ask the vendor to demonstrate how a team would turn one missing citation into a content or authority task. If those outputs are not available, Brandlight should remain an exploratory option rather than the foundation of a client-reporting process.
Rank #4
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Scrunch AI: broad prompt coverage for content teams
Scrunch AI is aimed at content teams. The 2026 buyer guide reports a stated starter tier with 350 custom prompts and 1,000 industry prompts, covering ChatGPT, Claude, Gemini, Perplexity, Google AI Mode, AI Overviews and Meta. Confirm that each named surface is included in your region and plan, and determine how often prompts run.
The large prompt allowances can support a content calendar organized around customer questions, industries and competitors. The important follow-up is depth: does Scrunch show the exact cited page, explain why a competitor was selected, flag factual errors, and produce briefs that writers can use? The public material summarized here does not establish the extent of its technical audits, outreach assistance or publishing integration. Check those functions before assuming that broad monitoring equals optimization.
AthenaHQ: model breadth across free and paid tiers
AthenaHQ is positioned for both enterprise and mid-market buyers. The buyer guide reports five engines on its free tier and eleven on its Starter tier, making it one of the broader model-coverage options identified under $300 per month. Plan names, prices and included engines should be confirmed because these details are volatile.
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How to compare platforms before you buy
1. Engine coverage and sampling
List the surfaces that influence your customers: for example, ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overviews and Google AI Mode. Record whether each is queried directly, covered through an add-on or represented by a limited snapshot. Require the same prompt wording, location and language across vendors during a trial; otherwise a coverage claim is not comparable.
2. Measurement depth
At minimum, look for answer-level brand presence and the cited URL. More mature systems add competitor share of voice, recommendation position, sentiment or accuracy, historical changes, prompt scheduling and filters by country, language and product. Ask how the vendor handles an answer with no citation, multiple citations or a citation to a page that has changed.
3. Execution support
Determine whether the product can check crawlability, audit content, identify citation gaps and prioritize on-page and off-page work. If your team needs earned-media authority, ask for outreach targets or a managed service; a content score alone will not create independent coverage.
4. Agency operations
Agencies should test workspaces, unlimited or capped brands, roles and seats, white-label reports, scheduled delivery, client exports and connectors such as Google Data Studio. Run a complete monthly reporting cycle with a sample client before signing. A technically strong tracker that cannot separate clients or produce usable reports creates manual work every month.
5. Commercial and enterprise requirements
Separate public self-serve pricing from custom enterprise quotes. Confirm annual versus monthly billing, prompt or project overages, data retention, security review, single sign-on, API access, support response times and contract exit terms. The quoted Peec, Scrunch, AthenaHQ and Profound details are time-sensitive 2026 reports, not permanent price lists.
A practical implementation workflow
- Define the decision set. Choose 25–100 prompts tied to real customer decisions: category discovery, comparisons, alternatives, pricing, local intent and branded questions. Keep a record of wording, country, language and date.
- Establish a baseline. Run the same prompts across every engine your audience uses. Capture mention rate, recommendation wording, cited domains, cited URLs, competitors and factual errors.
- Classify each gap. Separate technical access problems, weak or outdated owned content, missing third-party authority and inaccurate brand descriptions. This prevents a content rewrite from being used to solve a PR problem.
- Assign an action. Route crawlability issues to technical SEO, factual or topical gaps to content, and authority gaps to digital PR or partnerships. Record the target URL or publication and an owner.
- Recheck on a schedule. AI answers change with freshness and phrasing. Re-run priority prompts after material changes and on a regular cadence, keeping historical snapshots so a temporary mention is not mistaken for a durable improvement.
- Report uncertainty. Show the engine, prompt, location, date and cited source for every material result. Never present a single answer or one engine as a universal ranking.
Common mistakes and how to avoid them
- Buying a dashboard without an execution plan: pair monitoring with owners, deadlines and a route to content, technical or authority work.
- Checking only ChatGPT: engine behavior is not interchangeable; include the surfaces that your audience actually uses.
- Chasing owned-content volume: the GEO research’s earned-media finding means independent, authoritative coverage may matter more than publishing more self-referential pages.
- Treating vendor figures as benchmarks: claims such as OtterlyAI’s “8x citation growth in 12 months” are vendor-reported and should not be generalized.
- Ignoring prompt design: tiny wording, language or location changes can alter an answer. Version-control your prompt set.
- Assuming a price is permanent: self-serve tiers and engine allowances can change; obtain a dated quote and document what is included.
- Promising guaranteed citations: no platform controls an AI engine’s retrieval, model updates or source selection. Sell a measurement-and-improvement process, not a guaranteed outcome.
Which company is the best starting point?
Choose OtterlyAI first when you are an agency that needs multi-brand workspaces, client reporting and documented audits. Consider Peec AI when prompt-level measurement is the priority and its reported limits match your workload. Scrunch AI is worth testing for a content team that needs a large custom and industry prompt library, while AthenaHQ is a candidate when broad model coverage is the main screening criterion. Profound belongs on an enterprise shortlist that wants AI visibility connected to content, demand and PR. Cognizo and Brandlight are emerging options whose fit depends on what their current products demonstrate in a direct trial.
Whichever platform you select, start with a controlled prompt baseline, inspect the actual citations and connect every visibility gap to an execution owner. That is the difference between observing AI search and improving the chance that your brand is accurately recommended there.
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