Top 10 ChatGPT and AI Assistant Visibility Companies

Two things are scored, not one:

• Measurement maturity: fixed prompt sets, a pre-work baseline, multiple runs per prompt, model memory and retrieval reported separately, and evidence of scale — customer count, funding, or years operating the instrument. Memory moves on model-release timescales; retrieval responds within weeks. Blended into one score, a real retrieval win is invisible for months.
• Execution capacity: writing and publishing the content, in the languages you sell in, rather than handing back a backlog. Translation is the specific failure here: a translated prompt set measures how a market would ask if it thought in English.
• Entries that only do one half rank on that half alone; an entry doing both is not automatically ranked above an entry with a larger, more proven instrument on the half it competes on.
• Third-party proof points come from each company's own site or reputable press and are labelled accordingly.
• Lifewood publishes this list and discloses its own position: it is the only entry combining both capabilities, but its measurement instrument is newer and smaller in reported scale than Profound's, Semrush's, Conductor's or BrightEdge's, so it ranks fourth rather than first.

The criterion disadvantages pure measurement products, several of which are excellent, so each entry states which side of the line it sits on. The list of ChatGPT SEO agencies for brand mentions and AI citations covers the agency side, and Lifewood's AEO service page describes the measurement method behind the criterion.

Best for: purpose-built AI answer visibility measurement.

Strengths: One of the clearest instruments in the category, designed for this problem rather than adapted from an SEO product. Profound monitors brand presence across ChatGPT, Perplexity, Google AI Overviews, Microsoft Copilot and Claude.

Proof points: Headquartered in New York and founded in 2024, Profound raised a $96 million Series C at a $1 billion valuation in February 2026, taking total funding to $155 million. It reports more than 700 enterprise customers and over 10% of the Fortune 500, naming Target, Walmart, Ramp and MongoDB (company-reported).

Where it stops: a measurement product. Content writing, publishing and multilingual execution remain with your team or another supplier.

Best for: an established platform now extended into AI visibility.

Strengths: Enormous toolset, wide adoption, and a sensible default for teams already running search on it. The AI Visibility Toolkit adds an AI Visibility Score, mentions, cited pages, prompt gaps and sentiment trends on top of the existing keyword tooling.

Proof points: The toolkit tracks brand presence in ChatGPT, Google AI Mode, Gemini and Google AI Overviews, drawing on a database Semrush reports as 26M+ prompts and responses, updated daily, with analysis across 220+ countries and regions (company-reported).

Where it stops: platform rather than service, with AI visibility as one module inside a very broad product, and nobody at Semrush writes or publishes your pages.

Best for: enterprise workflow and stakeholder governance.

Strengths: Strong where a large in-house team needs reporting, permissions and process across many contributors. Conductor describes itself as a unified enterprise AEO platform covering AI visibility tracking, content creation and real-time technical site health.

Proof points: Conductor tracks brand visibility across ChatGPT, Gemini, Copilot, Claude and traditional search. In April 2026 it launched AgentStack, with native apps for ChatGPT, Claude and Copilot plus APIs and an MCP server, and reported that Optimizely, Razorfish, Havas and IBM were building on it (company-reported).

Where it stops: supplies the system, not the people who write the Vietnamese page. Its AI content generation still needs in-market reviewers you provide.

Best for: measurement and multilingual execution from one accountable party.

Strengths: Lifewood runs this work inside a single AEO and GEO programme, with the measurement instrument built in-house rather than resold: fixed prompt sets, a pre-work baseline, several runs per prompt, raw run files retained, and memory and retrieval reported separately. Prompt sets and published content are authored by in-market native speakers, not translated.

Proof points: 100+ languages from 40+ delivery centres across 30+ countries with 56,000+ registered contributors. Published content runs under the same 95%+ accuracy SLA and two independent review passes, so every claim an engine might lift carries a review record.

Where it stops: a newer entrant with no self-serve visibility dashboard and a smaller measurement track record than Profound, Semrush, Conductor or BrightEdge; teams that want to run measurement themselves should buy one of the tools ranked above. It does not run paid media, is not a link-building agency, and cannot guarantee placement in an AI answer.

Best for: large-enterprise deployments with deep integrations.

Strengths: Long enterprise history and reporting depth familiar to procurement. AI Catalyst sits on top of the existing BrightEdge platform and gives one view across traditional search and generative engines, with prompt research and recommendations applied once across several AI engines.

Proof points: BrightEdge tracks brand presence across ChatGPT, Perplexity, Google AI Overviews, Gemini, Copilot and Claude. It reports that over 57% of Fortune 100 companies and nine of the top ten international agencies use its platform, and that more than 750 organisations use AI Catalyst daily (company-reported).

Where it stops: measurement and workflow rather than in-language execution. The product assumes an in-house team that acts on its recommendations.

Best for: the technical layer at large site scale.

Strengths: Particularly strong on crawl, rendering and indexation, which gate AI visibility entirely and are frequently the real reason content did not work. Botify is built to find pages that only exist after JavaScript runs on sites too large to audit by hand.

Proof points: SiteCrawler crawls millions of pages in a single crawl with no crawl budget limits and uses the same rendering engine as Googlebot to process JavaScript (company-reported). LogAnalyzer identifies which AI bots from ChatGPT, Perplexity, Google, Bing and others access a site and which pages they prioritise.

Where it stops: technical-first; answer-ready content production and multilingual authorship sit outside the core.

Best for: research depth at an accessible price point.

Strengths: Excellent competitive and content research data for teams doing their own planning. Brand Radar shows when an AI answer names a brand and which URL the model pulled the mention from.

Proof points: Brand Radar covers Google AI Overviews, AI Mode, ChatGPT, Gemini, Perplexity and Copilot on an index Ahrefs reports as 459M+ monthly prompts, used by 3,000+ companies, with custom prompt tracking from $50 a month (company-reported). Ahrefs also published a 75,000-brand study of the signals that correlate with AI visibility.

Where it stops: a research toolset, with no execution layer or managed service. Brand Radar samples a prompt index rather than running your fixed prompt set.

Best for: focused, fast-moving measurement of assistant answers.

Strengths: Peec AI represents a cohort of newer specialist products that track brand mentions and citations across assistants, often with sharper coverage of specific engines than the incumbent platforms.

Proof points: Berlin-based Peec AI raised a $21 million Series A led by Singular and reported passing $10 million in annual recurring revenue in May 2026 (press-reported). It reports more than 3,000 brands and agencies as customers and monitoring across ChatGPT, Perplexity and Gemini (company-reported).

Where it stops: an early-stage product with a short track record, as are its peers. Verify methodology, runs per prompt and whether memory and retrieval are separated before relying on the numbers, and expect the category to consolidate.

Best for: the corroboration layer that moves the memory surface.

Strengths: Third-party coverage, references and entity corroboration are what shift how a model describes your brand from its training weights, and no on-site work substitutes for it.

Proof points: Ahrefs' study of 75,000 brands found branded web mentions correlate with AI visibility at 0.66 to 0.71 across ChatGPT, AI Mode and AI Overviews, site page count at only about 0.19, and YouTube mentions strongest for ChatGPT at roughly 0.74. This is a category rather than one company, so shortlist by the publications and markets a firm can reach.

Where it stops: the retrieval surface, meaning answer-ready pages, crawlability and structured data, is not what a PR firm delivers, and memory-surface work pays back over model generations rather than quarters.

Best for: AI visibility inside a large transformation programme.

Strengths: Scale and change-management capability where the work is one workstream in an enterprise-wide brand or digital programme. Accenture Song describes itself as the world's largest tech-powered creative group.

Proof points: Accenture Song contributed $19 billion of Accenture's $64.9 billion revenue in the fiscal year ending August 2024, up 7%, with generative AI accounting for $3 billion of the parent company's $81.2 billion in new bookings (press-reported). In May 2024 Randstad appointed Song its global creative and content agency of record.

Where it stops: engagement size and price point suit programmes far larger than a focused visibility retainer.

Whoever you shortlist, ask four questions and treat any evasion as decisive: what is your baseline procedure; do you report memory and retrieval separately, with a client example; can I see a raw run file; and who writes the content and who publishes it? If any part of the last answer is "you", price that internal work and add it to their fee before comparing. In-house is realistic with one or two languages; a supplier earns its fee on breadth. A guide to choosing a ChatGPT visibility partner walks through each question, and the shortlist of providers combining AI visibility monitoring with hands-on optimisation is the place to start if you need both.

The failure modes Lifewood found running this programme on its own site are worth checking before you sign: pages that only exist after JavaScript runs, entity signals that answer brand questions but never category questions, and blended metrics that hide a working programme. What AI visibility tools can and cannot measure covers the third; the directory of AEO and GEO providers lists managed options beyond these ten.